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Merge branch 'main' into enh/TD-33650-3.0m

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kailixu 2025-02-11 15:26:53 +08:00
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12
docs/en/06-advanced/03-stream.md
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@ -26,7 +26,7 @@ CREATE STREAM [IF NOT EXISTS] stream_name [stream_options] INTO stb_name
SUBTABLE(expression) AS subquery
stream_options: {
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time]
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time | FORCE_WINDOW_CLOSE]
WATERMARK time
IGNORE EXPIRED [0|1]
DELETE_MARK time
@ -56,13 +56,17 @@ window_clause: {
}
```
The subquery supports session windows, state windows, and sliding windows. When used with supertables, session windows and state windows must be used together with `partition by tbname`.
The subquery supports session windows, state windows, time windows, event windows, and count windows. When used with supertables, state windows, event windows, and count windows must be used together with `partition by tbname`.
1. SESSION is a session window, where tol_val is the maximum range of the time interval. All data within the tol_val time interval belong to the same window. If the time interval between two consecutive data points exceeds tol_val, the next window automatically starts.
2. EVENT_WINDOW is an event window, defined by start and end conditions. The window starts when the start_trigger_condition is met and closes when the end_trigger_condition is met. start_trigger_condition and end_trigger_condition can be any condition expressions supported by TDengine and can include different columns.
2. STATE_WINDOW is a state window. The col is used to identify the state value. Values with the same state value belong to the same state window. When the value of col changes, the current window ends and the next window is automatically opened.
3. COUNT_WINDOW is a counting window, divided by a fixed number of data rows. count_val is a constant, a positive integer, and must be at least 2 and less than 2147483648. count_val represents the maximum number of data rows in each COUNT_WINDOW. If the total number of data rows cannot be evenly divided by count_val, the last window will have fewer rows than count_val. sliding_val is a constant, representing the number of rows the window slides, similar to the SLIDING in INTERVAL.
3. INTERVAL is a time window, which can be further divided into sliding time windows and tumbling time windows.The INTERVAL clause is used to specify the equal time period of the window, and the SLIDING clause is used to specify the time by which the window slides forward. When the value of interval_val is equal to the value of sliding_val, the time window is a tumbling time window; otherwise, it is a sliding time window. Note: The value of sliding_val must be less than or equal to the value of interval_val.
4. EVENT_WINDOW is an event window, defined by start and end conditions. The window starts when the start_trigger_condition is met and closes when the end_trigger_condition is met. start_trigger_condition and end_trigger_condition can be any condition expressions supported by TDengine and can include different columns.
5. COUNT_WINDOW is a counting window, divided by a fixed number of data rows. count_val is a constant, a positive integer, and must be at least 2 and less than 2147483648. count_val represents the maximum number of data rows in each COUNT_WINDOW. If the total number of data rows cannot be evenly divided by count_val, the last window will have fewer rows than count_val. sliding_val is a constant, representing the number of rows the window slides, similar to the SLIDING in INTERVAL.
The definition of a window is exactly the same as in the time-series data window query, for details refer to the TDengine window functions section.

882
docs/en/08-operation/03-deployment.md
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@ -1,882 +0,0 @@
---
title: Deploying Your Cluster
slug: /operations-and-maintenance/deploy-your-cluster
---
Since TDengine was designed with a distributed architecture from the beginning, it has powerful horizontal scaling capabilities to meet the growing data processing needs. Therefore, TDengine supports clustering and has open-sourced this core functionality. Users can choose from four deployment methods according to their actual environment and needs—manual deployment, Docker deployment, Kubernetes deployment, and Helm deployment.
## Manual Deployment
### Deploying taosd
taosd is the most important service component in the TDengine cluster. This section describes the steps to manually deploy a taosd cluster.
#### 1. Clear Data
If the physical nodes for setting up the cluster contain previous test data or have had other versions of TDengine installed (such as 1.x/2.x), please delete them and clear all data first.
#### 2. Check Environment
Before deploying the TDengine cluster, it is crucial to thoroughly check the network settings of all dnodes and the physical nodes where the applications are located. Here are the steps to check:
- Step 1: Execute the `hostname -f` command on each physical node to view and confirm that all node hostnames are unique. This step can be omitted for nodes where application drivers are located.
- Step 2: Execute the `ping host` command on each physical node, where host is the hostname of other physical nodes. This step aims to detect the network connectivity between the current node and other physical nodes. If you cannot ping through, immediately check the network and DNS settings. For Linux operating systems, check the `/etc/hosts` file; for Windows operating systems, check the `C:\Windows\system32\drivers\etc\hosts` file. Network issues will prevent the formation of a cluster, so be sure to resolve this issue.
- Step 3: Repeat the above network detection steps on the physical nodes where the application is running. If the network is found to be problematic, the application will not be able to connect to the taosd service. At this point, carefully check the DNS settings or hosts file of the physical node where the application is located to ensure it is configured correctly.
- Step 4: Check ports to ensure that all hosts in the cluster can communicate over TCP on port 6030.
By following these steps, you can ensure that all nodes communicate smoothly at the network level, laying a solid foundation for the successful deployment of the TDengine cluster.
#### 3. Installation
To ensure consistency and stability within the cluster, install the same version of TDengine on all physical nodes.
#### 4. Modify Configuration
Modify the configuration file of TDengine (the configuration files of all nodes need to be modified). Assuming the endpoint of the first dnode to be started is `h1.tdengine.com:6030`, the cluster-related parameters are as follows.
```shell
# firstEp is the first dnode that each dnode connects to after the initial startup
firstEp h1.tdengine.com:6030
# Must be configured to the FQDN of this dnode, if there is only one hostname on this machine, you can comment out or delete the following line
fqdn h1.tdengine.com
# Configure the port of this dnode, default is 6030
serverPort 6030
```
The parameters that must be modified are firstEp and fqdn. For each dnode, the firstEp configuration should remain consistent, but fqdn must be set to the value of the dnode it is located on. Other parameters do not need to be modified unless you are clear on why they should be changed.
For dnodes wishing to join the cluster, it is essential to ensure that the parameters related to the TDengine cluster listed in the table below are set identically. Any mismatch in parameters may prevent the dnode from successfully joining the cluster.
| Parameter Name | Meaning |
|:----------------:|:---------------------------------------------------------:|
| statusInterval | Interval at which dnode reports status to mnode |
| timezone | Time zone |
| locale | System locale information and encoding format |
| charset | Character set encoding |
| ttlChangeOnWrite | Whether ttl expiration changes with table modification |
#### 5. Start
Start the first dnode, such as `h1.tdengine.com`, following the steps mentioned above. Then execute taos in the terminal to start TDengine's CLI program taos, and execute the `show dnodes` command within it to view all dnode information in the current cluster.
```shell
taos> show dnodes;
id | endpoint | vnodes|support_vnodes|status| create_time | note |
===================================================================================
1| h1.tdengine.com:6030 | 0| 1024| ready| 2022-07-16 10:50:42.673 | |
```
You can see that the endpoint of the dnode node that has just started is `h1.tdengine.com:6030`. This address is the first Ep of the new cluster.
#### 6. Adding dnode
Follow the steps mentioned earlier, start taosd on each physical node. Each dnode needs to configure the firstEp parameter in the taos.cfg file to the endpoint of the first node of the new cluster, which in this case is `h1.tdengine.com:6030`. On the machine where the first dnode is located, run taos in the terminal, open TDengine's CLI program taos, then log into the TDengine cluster, and execute the following SQL.
```shell
create dnode "h2.tdengine.com:6030"
```
Add the new dnode's endpoint to the cluster's endpoint list. You need to put `fqdn:port` in double quotes, otherwise, it will cause an error when running. Please note to replace the example h2.tdengine.com:6030 with the endpoint of this new dnode. Then execute the following SQL to see if the new node has successfully joined. If the dnode you want to join is currently offline, please refer to the "Common Issues" section later in this chapter for a solution.
```shell
show dnodes;
```
In the logs, please confirm that the fqdn and port of the output dnode are consistent with the endpoint you just tried to add. If they are not consistent, correct it to the correct endpoint. By following the steps above, you can continuously add new dnodes to the cluster one by one, thereby expanding the scale of the cluster and improving overall performance. Make sure to follow the correct process when adding new nodes, which helps maintain the stability and reliability of the cluster.
**Tips**
- Any dnode that has joined the cluster can serve as the firstEp for subsequent nodes to be added. The firstEp parameter only functions when that dnode first joins the cluster. After joining, the dnode will save the latest mnode's endpoint list, and subsequently, it no longer depends on this parameter. The firstEp parameter in the configuration file is mainly used for client connections, and if no parameters are set for TDengine's CLI, it will default to connecting to the node specified by firstEp.
- Two dnodes that have not configured the firstEp parameter will run independently after starting. At this time, it is not possible to join one dnode to another to form a cluster.
- TDengine does not allow merging two independent clusters into a new cluster.
#### 7. Adding mnode
When creating a TDengine cluster, the first dnode automatically becomes the mnode of the cluster, responsible for managing and coordinating the cluster. To achieve high availability of mnode, subsequent dnodes need to manually create mnode. Please note that a cluster can create up to 3 mnodes, and only one mnode can be created on each dnode. When the number of dnodes in the cluster reaches or exceeds 3, you can create mnode for the existing cluster. In the first dnode, first log into TDengine through the CLI program taos, then execute the following SQL.
```shell
create mnode on dnode <dnodeId>
```
Please note to replace the dnodeId in the example above with the serial number of the newly created dnode (which can be obtained by executing the `show dnodes` command). Finally, execute the following `show mnodes` to see if the newly created mnode has successfully joined the cluster.
**Tips**
During the process of setting up a TDengine cluster, if a new node always shows as offline after executing the create dnode command to add a new node, please follow these steps for troubleshooting.
- Step 1, check whether the taosd service on the new node has started normally. You can confirm this by checking the log files or using the ps command.
- Step 2, if the taosd service has started, next check whether the new node's network connection is smooth and confirm whether the firewall has been turned off. Network issues or firewall settings may prevent the node from communicating with other nodes in the cluster.
- Step 3, use the taos -h fqdn command to try to connect to the new node, then execute the show dnodes command. This will display the running status of the new node as an independent cluster. If the displayed list is inconsistent with that shown on the main node, it indicates that the new node may have formed a single-node cluster on its own. To resolve this issue, follow these steps. First, stop the taosd service on the new node. Second, clear all files in the dataDir directory specified in the taos.cfg configuration file on the new node. This will delete all data and configuration information related to that node. Finally, restart the taosd service on the new node. This will reset the new node to its initial state, ready to rejoin the main cluster.
### Deploying taosAdapter
This section discusses how to deploy taosAdapter, which provides RESTful and WebSocket access capabilities for the TDengine cluster, thus playing a very important role in the cluster.
1. Installation
After the installation of TDengine Enterprise is complete, taosAdapter can be used. If you want to deploy taosAdapter on different servers, TDengine Enterprise needs to be installed on these servers.
2. Single Instance Deployment
Deploying a single instance of taosAdapter is very simple. For specific commands and configuration parameters, please refer to the taosAdapter section in the manual.
3. Multiple Instances Deployment
The main purposes of deploying multiple instances of taosAdapter are as follows:
- To increase the throughput of the cluster and prevent taosAdapter from becoming a system bottleneck.
- To enhance the robustness and high availability of the cluster, allowing requests entering the business system to be automatically routed to other instances when one instance fails.
When deploying multiple instances of taosAdapter, it is necessary to address load balancing issues to avoid overloading some nodes while others remain idle. During the deployment process, multiple single instances need to be deployed separately, and the deployment steps for each instance are exactly the same as those for deploying a single instance. The next critical part is configuring Nginx. Below is a verified best practice configuration; you only need to replace the endpoint with the correct address in the actual environment. For the meanings of each parameter, please refer to the official Nginx documentation.
```json
user root;
worker_processes auto;
error_log /var/log/nginx_error.log;
events {
use epoll;
worker_connections 1024;
}
http {
access_log off;
map $http_upgrade $connection_upgrade {
default upgrade;
'' close;
}
server {
listen 6041;
location ~* {
proxy_pass http://dbserver;
proxy_read_timeout 600s;
proxy_send_timeout 600s;
proxy_connect_timeout 600s;
proxy_next_upstream error http_502 non_idempotent;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection $http_connection;
}
}
server {
listen 6043;
location ~* {
proxy_pass http://keeper;
proxy_read_timeout 60s;
proxy_next_upstream error http_502 http_500 non_idempotent;
}
}
server {
listen 6060;
location ~* {
proxy_pass http://explorer;
proxy_read_timeout 60s;
proxy_next_upstream error http_502 http_500 non_idempotent;
}
}
upstream dbserver {
least_conn;
server 172.16.214.201:6041 max_fails=0;
server 172.16.214.202:6041 max_fails=0;
server 172.16.214.203:6041 max_fails=0;
}
upstream keeper {
ip_hash;
server 172.16.214.201:6043 ;
server 172.16.214.202:6043 ;
server 172.16.214.203:6043 ;
}
upstream explorer{
ip_hash;
server 172.16.214.201:6060 ;
server 172.16.214.202:6060 ;
server 172.16.214.203:6060 ;
}
}
```
### Deploying taosKeeper
To use the monitoring capabilities of TDengine, taosKeeper is an essential component. For monitoring, please refer to [TDinsight](../../tdengine-reference/components/tdinsight), and for details on deploying taosKeeper, please refer to the [taosKeeper Reference Manual](../../tdengine-reference/components/taoskeeper).
### Deploying taosX
To utilize the data ingestion capabilities of TDengine, it is necessary to deploy the taosX service. For detailed explanations and deployment, please refer to the enterprise edition reference manual.
### Deploying taosX-Agent
For some data sources such as Pi, OPC, etc., due to network conditions and data source access restrictions, taosX cannot directly access the data sources. In such cases, a proxy service, taosX-Agent, needs to be deployed. For detailed explanations and deployment, please refer to the enterprise edition reference manual.
### Deploying taos-Explorer
TDengine provides the capability to visually manage TDengine clusters. To use the graphical interface, the taos-Explorer service needs to be deployed. For detailed explanations and deployment, please refer to the [taos-Explorer Reference Manual](../../tdengine-reference/components/taosexplorer/)
## Docker Deployment
This section will explain how to start TDengine services in Docker containers and access them. You can use environment variables in the docker run command line or docker-compose file to control the behavior of services in the container.
### Starting TDengine
The TDengine image is launched with HTTP service activated by default. Use the following command to create a containerized TDengine environment with HTTP service.
```shell
docker run -d --name tdengine \
-v ~/data/taos/dnode/data:/var/lib/taos \
-v ~/data/taos/dnode/log:/var/log/taos \
-p 6041:6041 tdengine/tdengine
```
Detailed parameter explanations are as follows:
- /var/lib/taos: Default data file directory for TDengine, can be modified through the configuration file.
- /var/log/taos: Default log file directory for TDengine, can be modified through the configuration file.
The above command starts a container named tdengine and maps the HTTP service's port 6041 to the host port 6041. The following command can verify if the HTTP service in the container is available.
```shell
curl -u root:taosdata -d "show databases" localhost:6041/rest/sql
```
Run the following command to access TDengine within the container.
```shell
$ docker exec -it tdengine taos
taos> show databases;
name |
=================================
information_schema |
performance_schema |
Query OK, 2 rows in database (0.033802s)
```
Within the container, TDengine CLI or various connectors (such as JDBC-JNI) connect to the server via the container's hostname. Accessing TDengine inside the container from outside is more complex, and using RESTful/WebSocket connection methods is the simplest approach.
### Starting TDengine in host network mode
Run the following command to start TDengine in host network mode, which allows using the host's FQDN to establish connections, rather than using the container's hostname.
```shell
docker run -d --name tdengine --network host tdengine/tdengine
```
This method is similar to starting TDengine on the host using the systemctl command. If the TDengine client is already installed on the host, you can directly use the following command to access the TDengine service.
```shell
$ taos
taos> show dnodes;
id | endpoint | vnodes | support_vnodes | status | create_time | note |
=================================================================================================================================================
1 | vm98:6030 | 0 | 32 | ready | 2022-08-19 14:50:05.337 | |
Query OK, 1 rows in database (0.010654s)
```
### Start TDengine with a specified hostname and port
Use the following command to establish a connection on a specified hostname using the TAOS_FQDN environment variable or the fqdn configuration item in taos.cfg. This method provides greater flexibility for deploying TDengine.
```shell
docker run -d \
--name tdengine \
-e TAOS_FQDN=tdengine \
-p 6030:6030 \
-p 6041-6049:6041-6049 \
-p 6041-6049:6041-6049/udp \
tdengine/tdengine
```
First, the above command starts a TDengine service in the container, listening on the hostname tdengine, and maps the container's port 6030 to the host's port 6030, and the container's port range [6041, 6049] to the host's port range [6041, 6049]. If the port range on the host is already in use, you can modify the command to specify a free port range on the host.
Secondly, ensure that the hostname tdengine is resolvable in /etc/hosts. Use the following command to save the correct configuration information to the hosts file.
```shell
echo 127.0.0.1 tdengine |sudo tee -a /etc/hosts
```
Finally, you can access the TDengine service using the TDengine CLI with tdengine as the server address, as follows.
```shell
taos -h tdengine -P 6030
```
If TAOS_FQDN is set to the same as the hostname of the host, the effect is the same as "starting TDengine in host network mode".
## Kubernetes Deployment
As a time-series database designed for cloud-native architectures, TDengine inherently supports Kubernetes deployment. This section introduces how to step-by-step create a highly available TDengine cluster for production use using YAML files, with a focus on common operations of TDengine in a Kubernetes environment. This subsection requires readers to have a certain understanding of Kubernetes, be proficient in running common kubectl commands, and understand concepts such as statefulset, service, and pvc. Readers unfamiliar with these concepts can refer to the Kubernetes official website for learning.
To meet the requirements of high availability, the cluster needs to meet the following requirements:
- 3 or more dnodes: Multiple vnodes in the same vgroup of TDengine should not be distributed on the same dnode, so if creating a database with 3 replicas, the number of dnodes should be 3 or more.
- 3 mnodes: mnodes are responsible for managing the entire cluster, with TDengine defaulting to one mnode. If the dnode hosting this mnode goes offline, the entire cluster becomes unavailable.
- 3 replicas of the database: TDengine's replica configuration is at the database level, so 3 replicas can ensure that the cluster remains operational even if any one of the 3 dnodes goes offline. If 2 dnodes go offline, the cluster becomes unavailable because RAFT cannot complete the election. (Enterprise edition: In disaster recovery scenarios, if the data files of any node are damaged, recovery can be achieved by restarting the dnode.)
### Prerequisites
To deploy and manage a TDengine cluster using Kubernetes, the following preparations need to be made.
- This article applies to Kubernetes v1.19 and above.
- This article uses the kubectl tool for installation and deployment, please install the necessary software in advance.
- Kubernetes has been installed and deployed and can normally access or update necessary container repositories or other services.
### Configure Service
Create a Service configuration file: taosd-service.yaml, the service name metadata.name (here "taosd") will be used in the next step. First, add the ports used by TDengine, then set the determined labels app (here "tdengine") in the selector.
```yaml
---
apiVersion: v1
kind: Service
metadata:
name: "taosd"
labels:
app: "tdengine"
spec:
ports:
- name: tcp6030
protocol: "TCP"
port: 6030
- name: tcp6041
protocol: "TCP"
port: 6041
selector:
app: "tdengine"
```
### Stateful Services StatefulSet
According to Kubernetes' descriptions of various deployment types, we will use StatefulSet as the deployment resource type for TDengine. Create the file tdengine.yaml, where replicas define the number of cluster nodes as 3. The node timezone is set to China (Asia/Shanghai), and each node is allocated 5G of standard storage, which you can modify according to actual conditions.
Please pay special attention to the configuration of startupProbe. After a dnode's Pod goes offline for a period of time and then restarts, the newly online dnode will be temporarily unavailable. If the startupProbe configuration is too small, Kubernetes will consider the Pod to be in an abnormal state and attempt to restart the Pod. This dnode's Pod will frequently restart and never return to a normal state.
```yaml
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: "tdengine"
labels:
app: "tdengine"
spec:
serviceName: "taosd"
replicas: 3
updateStrategy:
type: RollingUpdate
selector:
matchLabels:
app: "tdengine"
template:
metadata:
name: "tdengine"
labels:
app: "tdengine"
spec:
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app
operator: In
values:
- tdengine
topologyKey: kubernetes.io/hostname
containers:
- name: "tdengine"
image: "tdengine/tdengine:3.2.3.0"
imagePullPolicy: "IfNotPresent"
ports:
- name: tcp6030
protocol: "TCP"
containerPort: 6030
- name: tcp6041
protocol: "TCP"
containerPort: 6041
env:
# POD_NAME for FQDN config
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
# SERVICE_NAME and NAMESPACE for fqdn resolve
- name: SERVICE_NAME
value: "taosd"
- name: STS_NAME
value: "tdengine"
- name: STS_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
# TZ for timezone settings, we recommend to always set it.
- name: TZ
value: "Asia/Shanghai"
# Environment variables with prefix TAOS_ will be parsed and converted into corresponding parameter in taos.cfg. For example, serverPort in taos.cfg should be configured by TAOS_SERVER_PORT when using K8S to deploy
- name: TAOS_SERVER_PORT
value: "6030"
# Must set if you want a cluster.
- name: TAOS_FIRST_EP
value: "$(STS_NAME)-0.$(SERVICE_NAME).$(STS_NAMESPACE).svc.cluster.local:$(TAOS_SERVER_PORT)"
# TAOS_FQND should always be set in k8s env.
- name: TAOS_FQDN
value: "$(POD_NAME).$(SERVICE_NAME).$(STS_NAMESPACE).svc.cluster.local"
volumeMounts:
- name: taosdata
mountPath: /var/lib/taos
startupProbe:
exec:
command:
- taos-check
failureThreshold: 360
periodSeconds: 10
readinessProbe:
exec:
command:
- taos-check
initialDelaySeconds: 5
timeoutSeconds: 5000
livenessProbe:
exec:
command:
- taos-check
initialDelaySeconds: 15
periodSeconds: 20
volumeClaimTemplates:
- metadata:
name: taosdata
spec:
accessModes:
- "ReadWriteOnce"
storageClassName: "standard"
resources:
requests:
storage: "5Gi"
```
### Deploying TDengine Cluster Using kubectl Command
First, create the corresponding namespace `dengine-test`, as well as the PVC, ensuring that there is enough remaining space with `storageClassName` set to `standard`. Then execute the following commands in sequence:
```shell
kubectl apply -f taosd-service.yaml -n tdengine-test
```
The above configuration will create a three-node TDengine cluster, with `dnode` automatically configured. You can use the `show dnodes` command to view the current cluster nodes:
```shell
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "show dnodes"
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show dnodes"
kubectl exec -it tdengine-2 -n tdengine-test -- taos -s "show dnodes"
```
The output is as follows:
```shell
taos show dnodes
id | endpoint | vnodes | support_vnodes | status | create_time | reboot_time | note | active_code | c_active_code |
=============================================================================================================================================================================================================================================
1 | tdengine-0.ta... | 0 | 16 | ready | 2023-07-19 17:54:18.552 | 2023-07-19 17:54:18.469 | | | |
2 | tdengine-1.ta... | 0 | 16 | ready | 2023-07-19 17:54:37.828 | 2023-07-19 17:54:38.698 | | | |
3 | tdengine-2.ta... | 0 | 16 | ready | 2023-07-19 17:55:01.141 | 2023-07-19 17:55:02.039 | | | |
Query OK, 3 row(s) in set (0.001853s)
```
View the current mnode:
```shell
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show mnodes\G"
taos> show mnodes\G
*************************** 1.row ***************************
id: 1
endpoint: tdengine-0.taosd.tdengine-test.svc.cluster.local:6030
role: leader
status: ready
create_time: 2023-07-19 17:54:18.559
reboot_time: 2023-07-19 17:54:19.520
Query OK, 1 row(s) in set (0.001282s)
```
Create mnode
```shell
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "create mnode on dnode 2"
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "create mnode on dnode 3"
```
View mnode
```shell
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show mnodes\G"
taos> show mnodes\G
*************************** 1.row ***************************
id: 1
endpoint: tdengine-0.taosd.tdengine-test.svc.cluster.local:6030
role: leader
status: ready
create_time: 2023-07-19 17:54:18.559
reboot_time: 2023-07-20 09:19:36.060
*************************** 2.row ***************************
id: 2
endpoint: tdengine-1.taosd.tdengine-test.svc.cluster.local:6030
role: follower
status: ready
create_time: 2023-07-20 09:22:05.600
reboot_time: 2023-07-20 09:22:12.838
*************************** 3.row ***************************
id: 3
endpoint: tdengine-2.taosd.tdengine-test.svc.cluster.local:6030
role: follower
status: ready
create_time: 2023-07-20 09:22:20.042
reboot_time: 2023-07-20 09:22:23.271
Query OK, 3 row(s) in set (0.003108s)
```
### Port Forwarding
Using kubectl port forwarding feature allows applications to access the TDengine cluster running in the Kubernetes environment.
```shell
kubectl port-forward -n tdengine-test tdengine-0 6041:6041 &
```
Use the curl command to verify the TDengine REST API using port 6041.
```shell
curl -u root:taosdata -d "show databases" 127.0.0.1:6041/rest/sql
{"code":0,"column_meta":[["name","VARCHAR",64]],"data":[["information_schema"],["performance_schema"],["test"],["test1"]],"rows":4}
```
### Cluster Expansion
TDengine supports cluster expansion:
```shell
kubectl scale statefulsets tdengine -n tdengine-test --replicas=4
```
The command line argument `--replica=4` indicates that the TDengine cluster is to be expanded to 4 nodes. After execution, first check the status of the POD:
```shell
kubectl get pod -l app=tdengine -n tdengine-test -o wide
```
Output as follows:
```text
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
tdengine-0 1/1 Running 4 (6h26m ago) 6h53m 10.244.2.75 node86 <none> <none>
tdengine-1 1/1 Running 1 (6h39m ago) 6h53m 10.244.0.59 node84 <none> <none>
tdengine-2 1/1 Running 0 5h16m 10.244.1.224 node85 <none> <none>
tdengine-3 1/1 Running 0 3m24s 10.244.2.76 node86 <none> <none>
```
At this point, the Pod status is still Running. The dnode status in the TDengine cluster can be seen after the Pod status changes to ready:
```shell
kubectl exec -it tdengine-3 -n tdengine-test -- taos -s "show dnodes"
```
The dnode list of the four-node TDengine cluster after expansion:
```text
taos> show dnodes
id | endpoint | vnodes | support_vnodes | status | create_time | reboot_time | note | active_code | c_active_code |
=============================================================================================================================================================================================================================================
1 | tdengine-0.ta... | 10 | 16 | ready | 2023-07-19 17:54:18.552 | 2023-07-20 09:39:04.297 | | | |
2 | tdengine-1.ta... | 10 | 16 | ready | 2023-07-19 17:54:37.828 | 2023-07-20 09:28:24.240 | | | |
3 | tdengine-2.ta... | 10 | 16 | ready | 2023-07-19 17:55:01.141 | 2023-07-20 10:48:43.445 | | | |
4 | tdengine-3.ta... | 0 | 16 | ready | 2023-07-20 16:01:44.007 | 2023-07-20 16:01:44.889 | | | |
Query OK, 4 row(s) in set (0.003628s)
```
### Cleaning up the Cluster
**Warning**
When deleting PVCs, pay attention to the PV persistentVolumeReclaimPolicy. It is recommended to set it to Delete, so that when the PVC is deleted, the PV will be automatically cleaned up, along with the underlying CSI storage resources. If the policy to automatically clean up PVs when deleting PVCs is not configured, after deleting the PVCs, manually cleaning up the PVs may not release the corresponding CSI storage resources.
To completely remove the TDengine cluster, you need to clean up the statefulset, svc, pvc, and finally delete the namespace.
```shell
kubectl delete statefulset -l app=tdengine -n tdengine-test
kubectl delete svc -l app=tdengine -n tdengine-test
kubectl delete pvc -l app=tdengine -n tdengine-test
kubectl delete namespace tdengine-test
```
### Cluster Disaster Recovery Capabilities
For high availability and reliability of TDengine in a Kubernetes environment, in terms of hardware damage and disaster recovery, it is discussed on two levels:
- The disaster recovery capabilities of the underlying distributed block storage, which includes multiple replicas of block storage. Popular distributed block storage like Ceph has multi-replica capabilities, extending storage replicas to different racks, cabinets, rooms, and data centers (or directly using block storage services provided by public cloud vendors).
- TDengine's disaster recovery, in TDengine Enterprise, inherently supports the recovery of a dnode's work by launching a new blank dnode when an existing dnode permanently goes offline (due to physical disk damage and data loss).
## Deploying TDengine Cluster with Helm
Helm is the package manager for Kubernetes.
The previous section on deploying the TDengine cluster with Kubernetes was simple enough, but Helm can provide even more powerful capabilities.
### Installing Helm
```shell
curl -fsSL -o get_helm.sh \
https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3
chmod +x get_helm.sh
./get_helm.sh
```
Helm operates Kubernetes using kubectl and kubeconfig configurations, which can be set up following the Rancher installation configuration for Kubernetes.
### Installing TDengine Chart
The TDengine Chart has not yet been released to the Helm repository, it can currently be downloaded directly from GitHub:
```shell
wget https://github.com/taosdata/TDengine-Operator/raw/3.0/helm/tdengine-3.0.2.tgz
```
Retrieve the current Kubernetes storage class:
```shell
kubectl get storageclass
```
In minikube, the default is standard. Then, use the helm command to install:
```shell
helm install tdengine tdengine-3.0.2.tgz \
--set storage.className=<your storage class name> \
--set image.tag=3.2.3.0
```
In a minikube environment, you can set a smaller capacity to avoid exceeding disk space:
```shell
helm install tdengine tdengine-3.0.2.tgz \
--set storage.className=standard \
--set storage.dataSize=2Gi \
--set storage.logSize=10Mi \
--set image.tag=3.2.3.0
```
After successful deployment, the TDengine Chart will output instructions for operating TDengine:
```shell
export POD_NAME=$(kubectl get pods --namespace default \
-l "app.kubernetes.io/name=tdengine,app.kubernetes.io/instance=tdengine" \
-o jsonpath="{.items[0].metadata.name}")
kubectl --namespace default exec $POD_NAME -- taos -s "show dnodes; show mnodes"
kubectl --namespace default exec -it $POD_NAME -- taos
```
You can create a table for testing:
```shell
kubectl --namespace default exec $POD_NAME -- \
taos -s "create database test;
use test;
create table t1 (ts timestamp, n int);
insert into t1 values(now, 1)(now + 1s, 2);
select * from t1;"
```
### Configuring values
TDengine supports customization through `values.yaml`.
You can obtain the complete list of values supported by the TDengine Chart with helm show values:
```shell
helm show values tdengine-3.0.2.tgz
```
You can save the results as `values.yaml`, then modify various parameters in it, such as the number of replicas, storage class name, capacity size, TDengine configuration, etc., and then use the following command to install the TDengine cluster:
```shell
helm install tdengine tdengine-3.0.2.tgz -f values.yaml
```
All parameters are as follows:
```yaml
# Default values for tdengine.
# This is a YAML-formatted file.
# Declare variables to be passed into helm templates.
replicaCount: 1
image:
prefix: tdengine/tdengine
#pullPolicy: Always
# Overrides the image tag whose default is the chart appVersion.
# tag: "3.0.2.0"
service:
# ClusterIP is the default service type, use NodeIP only if you know what you are doing.
type: ClusterIP
ports:
# TCP range required
tcp: [6030, 6041, 6042, 6043, 6044, 6046, 6047, 6048, 6049, 6060]
# UDP range
udp: [6044, 6045]
# Set timezone here, not in taoscfg
timezone: "Asia/Shanghai"
resources:
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
storage:
# Set storageClassName for pvc. K8s use default storage class if not set.
#
className: ""
dataSize: "100Gi"
logSize: "10Gi"
nodeSelectors:
taosd:
# node selectors
clusterDomainSuffix: ""
# Config settings in taos.cfg file.
#
# The helm/k8s support will use environment variables for taos.cfg,
# converting an upper-snake-cased variable like `TAOS_DEBUG_FLAG`,
# to a camelCase taos config variable `debugFlag`.
#
# Note:
# 1. firstEp/secondEp: should not be set here, it's auto generated at scale-up.
# 2. serverPort: should not be set, we'll use the default 6030 in many places.
# 3. fqdn: will be auto generated in kubernetes, user should not care about it.
# 4. role: currently role is not supported - every node is able to be mnode and vnode.
#
# Btw, keep quotes "" around the value like below, even the value will be number or not.
taoscfg:
# Starts as cluster or not, must be 0 or 1.
# 0: all pods will start as a separate TDengine server
# 1: pods will start as TDengine server cluster. [default]
CLUSTER: "1"
# number of replications, for cluster only
TAOS_REPLICA: "1"
# TAOS_NUM_OF_RPC_THREADS: number of threads for RPC
#TAOS_NUM_OF_RPC_THREADS: "2"
#
# TAOS_NUM_OF_COMMIT_THREADS: number of threads to commit cache data
#TAOS_NUM_OF_COMMIT_THREADS: "4"
# enable/disable installation / usage report
#TAOS_TELEMETRY_REPORTING: "1"
# time interval of system monitor, seconds
#TAOS_MONITOR_INTERVAL: "30"
# time interval of dnode status reporting to mnode, seconds, for cluster only
#TAOS_STATUS_INTERVAL: "1"
# time interval of heart beat from shell to dnode, seconds
#TAOS_SHELL_ACTIVITY_TIMER: "3"
# minimum sliding window time, milli-second
#TAOS_MIN_SLIDING_TIME: "10"
# minimum time window, milli-second
#TAOS_MIN_INTERVAL_TIME: "1"
# the compressed rpc message, option:
# -1 (no compression)
# 0 (all message compressed),
# > 0 (rpc message body which larger than this value will be compressed)
#TAOS_COMPRESS_MSG_SIZE: "-1"
# max number of connections allowed in dnode
#TAOS_MAX_SHELL_CONNS: "50000"
# stop writing logs when the disk size of the log folder is less than this value
#TAOS_MINIMAL_LOG_DIR_G_B: "0.1"
# stop writing temporary files when the disk size of the tmp folder is less than this value
#TAOS_MINIMAL_TMP_DIR_G_B: "0.1"
# if disk free space is less than this value, taosd service exit directly within startup process
#TAOS_MINIMAL_DATA_DIR_G_B: "0.1"
# One mnode is equal to the number of vnode consumed
#TAOS_MNODE_EQUAL_VNODE_NUM: "4"
# enbale/disable http service
#TAOS_HTTP: "1"
# enable/disable system monitor
#TAOS_MONITOR: "1"
# enable/disable async log
#TAOS_ASYNC_LOG: "1"
#
# time of keeping log files, days
#TAOS_LOG_KEEP_DAYS: "0"
# The following parameters are used for debug purpose only.
# debugFlag 8 bits mask: FILE-SCREEN-UNUSED-HeartBeat-DUMP-TRACE_WARN-ERROR
# 131: output warning and error
# 135: output debug, warning and error
# 143: output trace, debug, warning and error to log
# 199: output debug, warning and error to both screen and file
# 207: output trace, debug, warning and error to both screen and file
#
# debug flag for all log type, take effect when non-zero value\
#TAOS_DEBUG_FLAG: "143"
# generate core file when service crash
#TAOS_ENABLE_CORE_FILE: "1"
```
### Expansion
For expansion, refer to the explanation in the previous section, with some additional operations needed from the helm deployment.
First, retrieve the name of the StatefulSet from the deployment.
```shell
export STS_NAME=$(kubectl get statefulset \
-l "app.kubernetes.io/name=tdengine" \
-o jsonpath="{.items[0].metadata.name}")
```
The expansion operation is extremely simple, just increase the replica. The following command expands TDengine to three nodes:
```shell
kubectl scale --replicas 3 statefulset/$STS_NAME
```
Use the commands `show dnodes` and `show mnodes` to check if the expansion was successful.
### Cleaning up the Cluster
Under Helm management, the cleanup operation also becomes simple:
```shell
helm uninstall tdengine
```
However, Helm will not automatically remove PVCs, you need to manually retrieve and then delete the PVCs.

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---
title: Manual Deployment
slug: /operations-and-maintenance/deploy-your-cluster/manual-deployment
---
You can deploy TDengine manually on a physical or virtual machine.
## Deploying taosd
taosd is the most important service component in the TDengine cluster. This section describes the steps to manually deploy a taosd cluster.
### 1. Clear Data
If the physical nodes for setting up the cluster contain previous test data or have had other versions of TDengine installed (such as 1.x/2.x), please delete them and clear all data first.
### 2. Check Environment
Before deploying the TDengine cluster, it is crucial to thoroughly check the network settings of all dnodes and the physical nodes where the applications are located. Here are the steps to check:
- Step 1: Execute the `hostname -f` command on each physical node to view and confirm that all node hostnames are unique. This step can be omitted for nodes where application drivers are located.
- Step 2: Execute the `ping host` command on each physical node, where host is the hostname of other physical nodes. This step aims to detect the network connectivity between the current node and other physical nodes. If you cannot ping through, immediately check the network and DNS settings. For Linux operating systems, check the `/etc/hosts` file; for Windows operating systems, check the `C:\Windows\system32\drivers\etc\hosts` file. Network issues will prevent the formation of a cluster, so be sure to resolve this issue.
- Step 3: Repeat the above network detection steps on the physical nodes where the application is running. If the network is found to be problematic, the application will not be able to connect to the taosd service. At this point, carefully check the DNS settings or hosts file of the physical node where the application is located to ensure it is configured correctly.
- Step 4: Check ports to ensure that all hosts in the cluster can communicate over TCP on port 6030.
By following these steps, you can ensure that all nodes communicate smoothly at the network level, laying a solid foundation for the successful deployment of the TDengine cluster.
### 3. Installation
To ensure consistency and stability within the cluster, install the same version of TDengine on all physical nodes.
### 4. Modify Configuration
Modify the configuration file of TDengine (the configuration files of all nodes need to be modified). Assuming the endpoint of the first dnode to be started is `h1.tdengine.com:6030`, the cluster-related parameters are as follows.
```shell
# firstEp is the first dnode that each dnode connects to after the initial startup
firstEp h1.tdengine.com:6030
# Must be configured to the FQDN of this dnode, if there is only one hostname on this machine, you can comment out or delete the following line
fqdn h1.tdengine.com
# Configure the port of this dnode, default is 6030
serverPort 6030
```
The parameters that must be modified are firstEp and fqdn. For each dnode, the firstEp configuration should remain consistent, but fqdn must be set to the value of the dnode it is located on. Other parameters do not need to be modified unless you are clear on why they should be changed.
For dnodes wishing to join the cluster, it is essential to ensure that the parameters related to the TDengine cluster listed in the table below are set identically. Any mismatch in parameters may prevent the dnode from successfully joining the cluster.
| Parameter Name | Meaning |
|:----------------:|:---------------------------------------------------------:|
| statusInterval | Interval at which dnode reports status to mnode |
| timezone | Time zone |
| locale | System locale information and encoding format |
| charset | Character set encoding |
| ttlChangeOnWrite | Whether ttl expiration changes with table modification |
### 5. Start
Start the first dnode, such as `h1.tdengine.com`, following the steps mentioned above. Then execute taos in the terminal to start TDengine's CLI program taos, and execute the `show dnodes` command within it to view all dnode information in the current cluster.
```shell
taos> show dnodes;
id | endpoint | vnodes|support_vnodes|status| create_time | note |
===================================================================================
1| h1.tdengine.com:6030 | 0| 1024| ready| 2022-07-16 10:50:42.673 | |
```
You can see that the endpoint of the dnode node that has just started is `h1.tdengine.com:6030`. This address is the first Ep of the new cluster.
### 6. Adding dnode
Follow the steps mentioned earlier, start taosd on each physical node. Each dnode needs to configure the firstEp parameter in the taos.cfg file to the endpoint of the first node of the new cluster, which in this case is `h1.tdengine.com:6030`. On the machine where the first dnode is located, run taos in the terminal, open TDengine's CLI program taos, then log into the TDengine cluster, and execute the following SQL.
```shell
create dnode "h2.tdengine.com:6030"
```
Add the new dnode's endpoint to the cluster's endpoint list. You need to put `fqdn:port` in double quotes, otherwise, it will cause an error when running. Please note to replace the example h2.tdengine.com:6030 with the endpoint of this new dnode. Then execute the following SQL to see if the new node has successfully joined. If the dnode you want to join is currently offline, please refer to the "Common Issues" section later in this chapter for a solution.
```shell
show dnodes;
```
In the logs, please confirm that the fqdn and port of the output dnode are consistent with the endpoint you just tried to add. If they are not consistent, correct it to the correct endpoint. By following the steps above, you can continuously add new dnodes to the cluster one by one, thereby expanding the scale of the cluster and improving overall performance. Make sure to follow the correct process when adding new nodes, which helps maintain the stability and reliability of the cluster.
**Tips**
- Any dnode that has joined the cluster can serve as the firstEp for subsequent nodes to be added. The firstEp parameter only functions when that dnode first joins the cluster. After joining, the dnode will save the latest mnode's endpoint list, and subsequently, it no longer depends on this parameter. The firstEp parameter in the configuration file is mainly used for client connections, and if no parameters are set for TDengine's CLI, it will default to connecting to the node specified by firstEp.
- Two dnodes that have not configured the firstEp parameter will run independently after starting. At this time, it is not possible to join one dnode to another to form a cluster.
- TDengine does not allow merging two independent clusters into a new cluster.
### 7. Adding mnode
When creating a TDengine cluster, the first dnode automatically becomes the mnode of the cluster, responsible for managing and coordinating the cluster. To achieve high availability of mnode, subsequent dnodes need to manually create mnode. Please note that a cluster can create up to 3 mnodes, and only one mnode can be created on each dnode. When the number of dnodes in the cluster reaches or exceeds 3, you can create mnode for the existing cluster. In the first dnode, first log into TDengine through the CLI program taos, then execute the following SQL.
```shell
create mnode on dnode <dnodeId>
```
Please note to replace the dnodeId in the example above with the serial number of the newly created dnode (which can be obtained by executing the `show dnodes` command). Finally, execute the following `show mnodes` to see if the newly created mnode has successfully joined the cluster.
**Tips**
During the process of setting up a TDengine cluster, if a new node always shows as offline after executing the create dnode command to add a new node, please follow these steps for troubleshooting.
- Step 1, check whether the taosd service on the new node has started normally. You can confirm this by checking the log files or using the ps command.
- Step 2, if the taosd service has started, next check whether the new node's network connection is smooth and confirm whether the firewall has been turned off. Network issues or firewall settings may prevent the node from communicating with other nodes in the cluster.
- Step 3, use the taos -h fqdn command to try to connect to the new node, then execute the show dnodes command. This will display the running status of the new node as an independent cluster. If the displayed list is inconsistent with that shown on the main node, it indicates that the new node may have formed a single-node cluster on its own. To resolve this issue, follow these steps. First, stop the taosd service on the new node. Second, clear all files in the dataDir directory specified in the taos.cfg configuration file on the new node. This will delete all data and configuration information related to that node. Finally, restart the taosd service on the new node. This will reset the new node to its initial state, ready to rejoin the main cluster.
## Deploying taosAdapter
This section discusses how to deploy taosAdapter, which provides RESTful and WebSocket access capabilities for the TDengine cluster, thus playing a very important role in the cluster.
1. Installation
After the installation of TDengine Enterprise is complete, taosAdapter can be used. If you want to deploy taosAdapter on different servers, TDengine Enterprise needs to be installed on these servers.
2. Single Instance Deployment
Deploying a single instance of taosAdapter is very simple. For specific commands and configuration parameters, please refer to the taosAdapter section in the manual.
3. Multiple Instances Deployment
The main purposes of deploying multiple instances of taosAdapter are as follows:
- To increase the throughput of the cluster and prevent taosAdapter from becoming a system bottleneck.
- To enhance the robustness and high availability of the cluster, allowing requests entering the business system to be automatically routed to other instances when one instance fails.
When deploying multiple instances of taosAdapter, it is necessary to address load balancing issues to avoid overloading some nodes while others remain idle. During the deployment process, multiple single instances need to be deployed separately, and the deployment steps for each instance are exactly the same as those for deploying a single instance. The next critical part is configuring Nginx. Below is a verified best practice configuration; you only need to replace the endpoint with the correct address in the actual environment. For the meanings of each parameter, please refer to the official Nginx documentation.
```json
user root;
worker_processes auto;
error_log /var/log/nginx_error.log;
events {
use epoll;
worker_connections 1024;
}
http {
access_log off;
map $http_upgrade $connection_upgrade {
default upgrade;
'' close;
}
server {
listen 6041;
location ~* {
proxy_pass http://dbserver;
proxy_read_timeout 600s;
proxy_send_timeout 600s;
proxy_connect_timeout 600s;
proxy_next_upstream error http_502 non_idempotent;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection $http_connection;
}
}
server {
listen 6043;
location ~* {
proxy_pass http://keeper;
proxy_read_timeout 60s;
proxy_next_upstream error http_502 http_500 non_idempotent;
}
}
server {
listen 6060;
location ~* {
proxy_pass http://explorer;
proxy_read_timeout 60s;
proxy_next_upstream error http_502 http_500 non_idempotent;
}
}
upstream dbserver {
least_conn;
server 172.16.214.201:6041 max_fails=0;
server 172.16.214.202:6041 max_fails=0;
server 172.16.214.203:6041 max_fails=0;
}
upstream keeper {
ip_hash;
server 172.16.214.201:6043 ;
server 172.16.214.202:6043 ;
server 172.16.214.203:6043 ;
}
upstream explorer{
ip_hash;
server 172.16.214.201:6060 ;
server 172.16.214.202:6060 ;
server 172.16.214.203:6060 ;
}
}
```
## Deploying taosKeeper
To use the monitoring capabilities of TDengine, taosKeeper is an essential component. For monitoring, please refer to [TDinsight](../../../tdengine-reference/components/tdinsight), and for details on deploying taosKeeper, please refer to the [taosKeeper Reference Manual](../../../tdengine-reference/components/taoskeeper).
## Deploying taosX
To utilize the data ingestion capabilities of TDengine, it is necessary to deploy the taosX service. For detailed explanations and deployment, please refer to the enterprise edition reference manual.
## Deploying taosX-Agent
For some data sources such as Pi, OPC, etc., due to network conditions and data source access restrictions, taosX cannot directly access the data sources. In such cases, a proxy service, taosX-Agent, needs to be deployed. For detailed explanations and deployment, please refer to the enterprise edition reference manual.
## Deploying taos-Explorer
TDengine provides the capability to visually manage TDengine clusters. To use the graphical interface, the taos-Explorer service needs to be deployed. For detailed explanations and deployment, please refer to the [taos-Explorer Reference Manual](../../../tdengine-reference/components/taosexplorer/)

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---
title: Docker Deployment
slug: /operations-and-maintenance/deploy-your-cluster/docker-deployment
---
You can deploy TDengine services in Docker containers and use environment variables in the docker run command line or docker-compose file to control the behavior of services in the container.
## Starting TDengine
The TDengine image is launched with HTTP service activated by default. Use the following command to create a containerized TDengine environment with HTTP service.
```shell
docker run -d --name tdengine \
-v ~/data/taos/dnode/data:/var/lib/taos \
-v ~/data/taos/dnode/log:/var/log/taos \
-p 6041:6041 tdengine/tdengine
```
Detailed parameter explanations are as follows:
- /var/lib/taos: Default data file directory for TDengine, can be modified through the configuration file.
- /var/log/taos: Default log file directory for TDengine, can be modified through the configuration file.
The above command starts a container named tdengine and maps the HTTP service's port 6041 to the host port 6041. The following command can verify if the HTTP service in the container is available.
```shell
curl -u root:taosdata -d "show databases" localhost:6041/rest/sql
```
Run the following command to access TDengine within the container.
```shell
$ docker exec -it tdengine taos
taos> show databases;
name |
=================================
information_schema |
performance_schema |
Query OK, 2 rows in database (0.033802s)
```
Within the container, TDengine CLI or various connectors (such as JDBC-JNI) connect to the server via the container's hostname. Accessing TDengine inside the container from outside is more complex, and using RESTful/WebSocket connection methods is the simplest approach.
## Starting TDengine in host network mode
Run the following command to start TDengine in host network mode, which allows using the host's FQDN to establish connections, rather than using the container's hostname.
```shell
docker run -d --name tdengine --network host tdengine/tdengine
```
This method is similar to starting TDengine on the host using the systemctl command. If the TDengine client is already installed on the host, you can directly use the following command to access the TDengine service.
```shell
$ taos
taos> show dnodes;
id | endpoint | vnodes | support_vnodes | status | create_time | note |
=================================================================================================================================================
1 | vm98:6030 | 0 | 32 | ready | 2022-08-19 14:50:05.337 | |
Query OK, 1 rows in database (0.010654s)
```
## Start TDengine with a specified hostname and port
Use the following command to establish a connection on a specified hostname using the TAOS_FQDN environment variable or the fqdn configuration item in taos.cfg. This method provides greater flexibility for deploying TDengine.
```shell
docker run -d \
--name tdengine \
-e TAOS_FQDN=tdengine \
-p 6030:6030 \
-p 6041-6049:6041-6049 \
-p 6041-6049:6041-6049/udp \
tdengine/tdengine
```
First, the above command starts a TDengine service in the container, listening on the hostname tdengine, and maps the container's port 6030 to the host's port 6030, and the container's port range [6041, 6049] to the host's port range [6041, 6049]. If the port range on the host is already in use, you can modify the command to specify a free port range on the host.
Secondly, ensure that the hostname tdengine is resolvable in /etc/hosts. Use the following command to save the correct configuration information to the hosts file.
```shell
echo 127.0.0.1 tdengine |sudo tee -a /etc/hosts
```
Finally, you can access the TDengine service using the TDengine CLI with tdengine as the server address, as follows.
```shell
taos -h tdengine -P 6030
```
If TAOS_FQDN is set to the same as the hostname of the host, the effect is the same as "starting TDengine in host network mode".

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---
title: Kubernetes Deployment
slug: /operations-and-maintenance/deploy-your-cluster/kubernetes-deployment
---
You can use kubectl or Helm to deploy TDengine in Kubernetes.
Note that Helm is only supported in TDengine Enterprise. To deploy TDengine OSS in Kubernetes, use kubectl.
## Deploy TDengine with kubectl
As a time-series database designed for cloud-native architectures, TDengine inherently supports Kubernetes deployment. This section introduces how to step-by-step create a highly available TDengine cluster for production use using YAML files, with a focus on common operations of TDengine in a Kubernetes environment. This subsection requires readers to have a certain understanding of Kubernetes, be proficient in running common kubectl commands, and understand concepts such as statefulset, service, and pvc. Readers unfamiliar with these concepts can refer to the Kubernetes official website for learning.
To meet the requirements of high availability, the cluster needs to meet the following requirements:
- 3 or more dnodes: Multiple vnodes in the same vgroup of TDengine should not be distributed on the same dnode, so if creating a database with 3 replicas, the number of dnodes should be 3 or more.
- 3 mnodes: mnodes are responsible for managing the entire cluster, with TDengine defaulting to one mnode. If the dnode hosting this mnode goes offline, the entire cluster becomes unavailable.
- 3 replicas of the database: TDengine's replica configuration is at the database level, so 3 replicas can ensure that the cluster remains operational even if any one of the 3 dnodes goes offline. If 2 dnodes go offline, the cluster becomes unavailable because RAFT cannot complete the election. (Enterprise edition: In disaster recovery scenarios, if the data files of any node are damaged, recovery can be achieved by restarting the dnode.)
### Prerequisites
To deploy and manage a TDengine cluster using Kubernetes, the following preparations need to be made.
- This article applies to Kubernetes v1.19 and above.
- This article uses the kubectl tool for installation and deployment, please install the necessary software in advance.
- Kubernetes has been installed and deployed and can normally access or update necessary container repositories or other services.
### Configure Service
Create a Service configuration file: taosd-service.yaml, the service name metadata.name (here "taosd") will be used in the next step. First, add the ports used by TDengine, then set the determined labels app (here "tdengine") in the selector.
```yaml
---
apiVersion: v1
kind: Service
metadata:
name: "taosd"
labels:
app: "tdengine"
spec:
ports:
- name: tcp6030
protocol: "TCP"
port: 6030
- name: tcp6041
protocol: "TCP"
port: 6041
selector:
app: "tdengine"
```
### Stateful Services StatefulSet
According to Kubernetes' descriptions of various deployment types, we will use StatefulSet as the deployment resource type for TDengine. Create the file tdengine.yaml, where replicas define the number of cluster nodes as 3. The node timezone is set to China (Asia/Shanghai), and each node is allocated 5G of standard storage, which you can modify according to actual conditions.
Please pay special attention to the configuration of startupProbe. After a dnode's Pod goes offline for a period of time and then restarts, the newly online dnode will be temporarily unavailable. If the startupProbe configuration is too small, Kubernetes will consider the Pod to be in an abnormal state and attempt to restart the Pod. This dnode's Pod will frequently restart and never return to a normal state.
```yaml
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: "tdengine"
labels:
app: "tdengine"
spec:
serviceName: "taosd"
replicas: 3
updateStrategy:
type: RollingUpdate
selector:
matchLabels:
app: "tdengine"
template:
metadata:
name: "tdengine"
labels:
app: "tdengine"
spec:
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app
operator: In
values:
- tdengine
topologyKey: kubernetes.io/hostname
containers:
- name: "tdengine"
image: "tdengine/tdengine:3.2.3.0"
imagePullPolicy: "IfNotPresent"
ports:
- name: tcp6030
protocol: "TCP"
containerPort: 6030
- name: tcp6041
protocol: "TCP"
containerPort: 6041
env:
# POD_NAME for FQDN config
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
# SERVICE_NAME and NAMESPACE for fqdn resolve
- name: SERVICE_NAME
value: "taosd"
- name: STS_NAME
value: "tdengine"
- name: STS_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
# TZ for timezone settings, we recommend to always set it.
- name: TZ
value: "Asia/Shanghai"
# Environment variables with prefix TAOS_ will be parsed and converted into corresponding parameter in taos.cfg. For example, serverPort in taos.cfg should be configured by TAOS_SERVER_PORT when using K8S to deploy
- name: TAOS_SERVER_PORT
value: "6030"
# Must set if you want a cluster.
- name: TAOS_FIRST_EP
value: "$(STS_NAME)-0.$(SERVICE_NAME).$(STS_NAMESPACE).svc.cluster.local:$(TAOS_SERVER_PORT)"
# TAOS_FQND should always be set in k8s env.
- name: TAOS_FQDN
value: "$(POD_NAME).$(SERVICE_NAME).$(STS_NAMESPACE).svc.cluster.local"
volumeMounts:
- name: taosdata
mountPath: /var/lib/taos
startupProbe:
exec:
command:
- taos-check
failureThreshold: 360
periodSeconds: 10
readinessProbe:
exec:
command:
- taos-check
initialDelaySeconds: 5
timeoutSeconds: 5000
livenessProbe:
exec:
command:
- taos-check
initialDelaySeconds: 15
periodSeconds: 20
volumeClaimTemplates:
- metadata:
name: taosdata
spec:
accessModes:
- "ReadWriteOnce"
storageClassName: "standard"
resources:
requests:
storage: "5Gi"
```
### Deploying TDengine Cluster Using kubectl Command
First, create the corresponding namespace `dengine-test`, as well as the PVC, ensuring that there is enough remaining space with `storageClassName` set to `standard`. Then execute the following commands in sequence:
```shell
kubectl apply -f taosd-service.yaml -n tdengine-test
```
The above configuration will create a three-node TDengine cluster, with `dnode` automatically configured. You can use the `show dnodes` command to view the current cluster nodes:
```shell
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "show dnodes"
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show dnodes"
kubectl exec -it tdengine-2 -n tdengine-test -- taos -s "show dnodes"
```
The output is as follows:
```shell
taos show dnodes
id | endpoint | vnodes | support_vnodes | status | create_time | reboot_time | note | active_code | c_active_code |
=============================================================================================================================================================================================================================================
1 | tdengine-0.ta... | 0 | 16 | ready | 2023-07-19 17:54:18.552 | 2023-07-19 17:54:18.469 | | | |
2 | tdengine-1.ta... | 0 | 16 | ready | 2023-07-19 17:54:37.828 | 2023-07-19 17:54:38.698 | | | |
3 | tdengine-2.ta... | 0 | 16 | ready | 2023-07-19 17:55:01.141 | 2023-07-19 17:55:02.039 | | | |
Query OK, 3 row(s) in set (0.001853s)
```
View the current mnode:
```shell
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show mnodes\G"
taos> show mnodes\G
*************************** 1.row ***************************
id: 1
endpoint: tdengine-0.taosd.tdengine-test.svc.cluster.local:6030
role: leader
status: ready
create_time: 2023-07-19 17:54:18.559
reboot_time: 2023-07-19 17:54:19.520
Query OK, 1 row(s) in set (0.001282s)
```
Create mnode
```shell
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "create mnode on dnode 2"
kubectl exec -it tdengine-0 -n tdengine-test -- taos -s "create mnode on dnode 3"
```
View mnode
```shell
kubectl exec -it tdengine-1 -n tdengine-test -- taos -s "show mnodes\G"
taos> show mnodes\G
*************************** 1.row ***************************
id: 1
endpoint: tdengine-0.taosd.tdengine-test.svc.cluster.local:6030
role: leader
status: ready
create_time: 2023-07-19 17:54:18.559
reboot_time: 2023-07-20 09:19:36.060
*************************** 2.row ***************************
id: 2
endpoint: tdengine-1.taosd.tdengine-test.svc.cluster.local:6030
role: follower
status: ready
create_time: 2023-07-20 09:22:05.600
reboot_time: 2023-07-20 09:22:12.838
*************************** 3.row ***************************
id: 3
endpoint: tdengine-2.taosd.tdengine-test.svc.cluster.local:6030
role: follower
status: ready
create_time: 2023-07-20 09:22:20.042
reboot_time: 2023-07-20 09:22:23.271
Query OK, 3 row(s) in set (0.003108s)
```
### Port Forwarding
Using kubectl port forwarding feature allows applications to access the TDengine cluster running in the Kubernetes environment.
```shell
kubectl port-forward -n tdengine-test tdengine-0 6041:6041 &
```
Use the curl command to verify the TDengine REST API using port 6041.
```shell
curl -u root:taosdata -d "show databases" 127.0.0.1:6041/rest/sql
{"code":0,"column_meta":[["name","VARCHAR",64]],"data":[["information_schema"],["performance_schema"],["test"],["test1"]],"rows":4}
```
### Cluster Expansion
TDengine supports cluster expansion:
```shell
kubectl scale statefulsets tdengine -n tdengine-test --replicas=4
```
The command line argument `--replica=4` indicates that the TDengine cluster is to be expanded to 4 nodes. After execution, first check the status of the POD:
```shell
kubectl get pod -l app=tdengine -n tdengine-test -o wide
```
Output as follows:
```text
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
tdengine-0 1/1 Running 4 (6h26m ago) 6h53m 10.244.2.75 node86 <none> <none>
tdengine-1 1/1 Running 1 (6h39m ago) 6h53m 10.244.0.59 node84 <none> <none>
tdengine-2 1/1 Running 0 5h16m 10.244.1.224 node85 <none> <none>
tdengine-3 1/1 Running 0 3m24s 10.244.2.76 node86 <none> <none>
```
At this point, the Pod status is still Running. The dnode status in the TDengine cluster can be seen after the Pod status changes to ready:
```shell
kubectl exec -it tdengine-3 -n tdengine-test -- taos -s "show dnodes"
```
The dnode list of the four-node TDengine cluster after expansion:
```text
taos> show dnodes
id | endpoint | vnodes | support_vnodes | status | create_time | reboot_time | note | active_code | c_active_code |
=============================================================================================================================================================================================================================================
1 | tdengine-0.ta... | 10 | 16 | ready | 2023-07-19 17:54:18.552 | 2023-07-20 09:39:04.297 | | | |
2 | tdengine-1.ta... | 10 | 16 | ready | 2023-07-19 17:54:37.828 | 2023-07-20 09:28:24.240 | | | |
3 | tdengine-2.ta... | 10 | 16 | ready | 2023-07-19 17:55:01.141 | 2023-07-20 10:48:43.445 | | | |
4 | tdengine-3.ta... | 0 | 16 | ready | 2023-07-20 16:01:44.007 | 2023-07-20 16:01:44.889 | | | |
Query OK, 4 row(s) in set (0.003628s)
```
### Cleaning up the Cluster
**Warning**
When deleting PVCs, pay attention to the PV persistentVolumeReclaimPolicy. It is recommended to set it to Delete, so that when the PVC is deleted, the PV will be automatically cleaned up, along with the underlying CSI storage resources. If the policy to automatically clean up PVs when deleting PVCs is not configured, after deleting the PVCs, manually cleaning up the PVs may not release the corresponding CSI storage resources.
To completely remove the TDengine cluster, you need to clean up the statefulset, svc, pvc, and finally delete the namespace.
```shell
kubectl delete statefulset -l app=tdengine -n tdengine-test
kubectl delete svc -l app=tdengine -n tdengine-test
kubectl delete pvc -l app=tdengine -n tdengine-test
kubectl delete namespace tdengine-test
```
### Cluster Disaster Recovery Capabilities
For high availability and reliability of TDengine in a Kubernetes environment, in terms of hardware damage and disaster recovery, it is discussed on two levels:
- The disaster recovery capabilities of the underlying distributed block storage, which includes multiple replicas of block storage. Popular distributed block storage like Ceph has multi-replica capabilities, extending storage replicas to different racks, cabinets, rooms, and data centers (or directly using block storage services provided by public cloud vendors).
- TDengine's disaster recovery, in TDengine Enterprise, inherently supports the recovery of a dnode's work by launching a new blank dnode when an existing dnode permanently goes offline (due to physical disk damage and data loss).
## Deploy TDengine with Helm
Helm is the package manager for Kubernetes.
The previous section on deploying the TDengine cluster with Kubernetes was simple enough, but Helm can provide even more powerful capabilities.
### Installing Helm
```shell
curl -fsSL -o get_helm.sh \
https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3
chmod +x get_helm.sh
./get_helm.sh
```
Helm operates Kubernetes using kubectl and kubeconfig configurations, which can be set up following the Rancher installation configuration for Kubernetes.
### Installing TDengine Chart
The TDengine Chart has not yet been released to the Helm repository, it can currently be downloaded directly from GitHub:
```shell
wget https://github.com/taosdata/TDengine-Operator/raw/3.0/helm/tdengine-enterpise-3.5.0.tgz
```
Note that it's for the enterprise edition, and the community edition is not yet available.
Follow the steps below to install the TDengine Chart:
```shell
# Edit the values.yaml file to set the topology of the cluster
vim values.yaml
helm install tdengine tdengine-enterprise-3.5.0.tgz -f values.yaml
```
#### Case 1: Simple 1-node Deployment
The following is a simple example of deploying a single-node TDengine cluster using Helm.
```yaml
# This example is a simple deployment with one server replica.
name: "tdengine"
image:
repository: image.cloud.taosdata.com/ # Leave a trailing slash for the repository, or "" for no repository
server: taosx/integrated:3.3.5.1-b0a54bdd
# Set timezone here, not in taoscfg
timezone: "Asia/Shanghai"
labels:
app: "tdengine"
# Add more labels as needed.
services:
server:
type: ClusterIP
replica: 1
ports:
# TCP range required
tcp: [6041, 6030, 6060]
# UDP range, optional
udp:
volumes:
- name: data
mountPath: /var/lib/taos
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
files:
- name: cfg # must be lower case.
mountPath: /etc/taos/taos.cfg
content: |
dataDir /var/lib/taos/
logDir /var/log/taos/
```
Let's explain the above configuration:
- name: The name of the deployment, here it is "tdengine".
- image:
- repository: The image repository address, remember to leave a trailing slash for the repository, or set it to an empty string to use docker.io.
- server: The specific name and tag of the server image. You need to ask your business partner for the TDengine Enterprise image.
- timezone: Set the timezone, here it is "Asia/Shanghai".
- labels: Add labels to the deployment, here is an app label with the value "tdengine", more labels can be added as needed.
- services:
- server: Configure the server service.
- type: The service type, here it is **ClusterIP**.
- replica: The number of replicas, here it is 1.
- ports: Configure the ports of the service.
- tcp: The required TCP port range, here it is [6041, 6030, 6060].
- udp: The optional UDP port range, which is not configured here.
- volumes: Configure the volumes.
- name: The name of the volume, here there are two volumes, data and log.
- mountPath: The mount path of the volume.
- spec: The specification of the volume.
- storageClassName: The storage class name, here it is **local-path**.
- accessModes: The access mode, here it is **ReadWriteOnce**.
- resources.requests.storage: The requested storage size, here it is **10Gi**.
- files: Configure the files to mount in TDengine server.
- name: The name of the file, here it is **cfg**.
- mountPath: The mount path of the file, which is **taos.cfg**.
- content: The content of the file, here the **dataDir** and **logDir** are configured.
After configuring the values.yaml file, use the following command to install the TDengine Chart:
```shell
helm install simple tdengine-enterprise-3.5.0.tgz -f values.yaml
```
After installation, you can see the instructions to see the status of the TDengine cluster:
```shell
NAME: simple
LAST DEPLOYED: Sun Feb 9 13:40:00 2025 default
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
1. Get first POD name:
export POD_NAME=$(kubectl get pods --namespace default \
-l "app.kubernetes.io/name=tdengine,app.kubernetes.io/instance=simple" -o jsonpath="{.items[0].metadata.name}")
2. Show dnodes/mnodes:
kubectl --namespace default exec $POD_NAME -- taos -s "show dnodes; show mnodes"
3. Run into taos shell:
kubectl --namespace default exec -it $POD_NAME -- taos
```
Follow the instructions to check the status of the TDengine cluster:
```shell
root@u1-58:/data1/projects/helm# kubectl --namespace default exec $POD_NAME -- taos -s "show dnodes; show mnodes"
Welcome to the TDengine Command Line Interface, Client Version:3.3.5.1
Copyright (c) 2023 by TDengine, all rights reserved.
taos> show dnodes; show mnodes
id | endpoint | vnodes | support_vnodes | status | create_time | reboot_time | note | machine_id |
==========================================================================================================================================================================================================
1 | simple-tdengine-0.simple-td... | 0 | 85 | ready | 2025-02-07 21:17:34.903 | 2025-02-08 15:52:34.781 | | BWhWyPiEBrWZrQCSqTSc2a/H |
Query OK, 1 row(s) in set (0.005133s)
id | endpoint | role | status | create_time | role_time |
==================================================================================================================================
1 | simple-tdengine-0.simple-td... | leader | ready | 2025-02-07 21:17:34.906 | 2025-02-08 15:52:34.878 |
Query OK, 1 row(s) in set (0.004299s)
```
To clean up the TDengine cluster, use the following command:
```shell
helm uninstall simple
kubectl delete pvc -l app.kubernetes.io/instance=simple
```
#### Case 2: Tiered-Storage Deployment
The following is an example of deploying a TDengine cluster with tiered storage using Helm.
```yaml
# This is an example of a 3-tiered storage deployment with one server replica.
name: "tdengine"
image:
repository: image.cloud.taosdata.com/ # Leave a trailing slash for the repository, or "" for no repository
server: taosx/integrated:3.3.5.1-b0a54bdd
# Set timezone here, not in taoscfg
timezone: "Asia/Shanghai"
labels:
# Add more labels as needed.
services:
server:
type: ClusterIP
replica: 1
ports:
# TCP range required
tcp: [6041, 6030, 6060]
# UDP range, optional
udp:
volumes:
- name: tier0
mountPath: /data/taos0/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: tier1
mountPath: /data/taos1/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: tier2
mountPath: /data/taos2/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
environment:
TAOS_DEBUG_FLAG: "131"
files:
- name: cfg # must be lower case.
mountPath: /etc/taos/taos.cfg
content: |
dataDir /data/taos0/ 0 1
dataDir /data/taos1/ 1 0
dataDir /data/taos2/ 2 0
```
You can see that the configuration is similar to the previous one, with the addition of the tiered storage configuration. The dataDir configuration in the taos.cfg file is also modified to support tiered storage.
After configuring the values.yaml file, use the following command to install the TDengine Chart:
```shell
helm install tiered tdengine-enterprise-3.5.0.tgz -f values.yaml
```
#### Case 3: 2-replica Deployment
TDengine support 2-replica deployment with an arbitrator, which can be configured as follows:
```yaml
# This example shows how to deploy a 2-replica TDengine cluster with an arbitrator.
name: "tdengine"
image:
repository: image.cloud.taosdata.com/ # Leave a trailing slash for the repository, or "" for no repository
server: taosx/integrated:3.3.5.1-b0a54bdd
# Set timezone here, not in taoscfg
timezone: "Asia/Shanghai"
labels:
my-app: "tdengine"
# Add more labels as needed.
services:
arbitrator:
type: ClusterIP
volumes:
- name: arb-data
mountPath: /var/lib/taos
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: arb-log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
server:
type: ClusterIP
replica: 2
ports:
# TCP range required
tcp: [6041, 6030, 6060]
# UDP range, optional
udp:
volumes:
- name: data
mountPath: /var/lib/taos
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
- name: log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: "10Gi"
```
You can see that the configuration is similar to the first one, with the addition of the arbitrator configuration. The arbitrator service is configured with the same storage as the server service, and the server service is configured with 2 replicas (the arbitrator should be 1 replica and not able to be changed).
#### Case 4: 3-replica Deployment with Single taosX
```yaml
# This example shows how to deploy a 3-replica TDengine cluster with separate taosx/explorer service.
# Users should know that the explorer/taosx service is not cluster-ready, so it is recommended to deploy it separately.
name: "tdengine"
image:
repository: image.cloud.taosdata.com/ # Leave a trailing slash for the repository, or "" for no repository
server: taosx/integrated:3.3.5.1-b0a54bdd
# Set timezone here, not in taoscfg
timezone: "Asia/Shanghai"
labels:
# Add more labels as needed.
services:
server:
type: ClusterIP
replica: 3
ports:
# TCP range required
tcp: [6041, 6030]
# UDP range, optional
udp:
volumes:
- name: data
mountPath: /var/lib/taos
spec:
storageClassName: "local-path"
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: "10Gi"
- name: log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: "10Gi"
environment:
ENABLE_TAOSX: "0" # Disable taosx in server replicas.
taosx:
type: ClusterIP
volumes:
- name: taosx-data
mountPath: /var/lib/taos
spec:
storageClassName: "local-path"
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: "10Gi"
- name: taosx-log
mountPath: /var/log/taos/
spec:
storageClassName: "local-path"
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: "10Gi"
files:
- name: taosx
mountPath: /etc/taos/taosx.toml
content: |-
# TAOSX configuration in TOML format.
[monitor]
# FQDN of taosKeeper service, no default value
fqdn = "localhost"
# How often to send metrics to taosKeeper, default every 10 seconds. Only value from 1 to 10 is valid.
interval = 10
# log configuration
[log]
# All log files are stored in this directory
#
#path = "/var/log/taos" # on linux/macOS
# log filter level
#
#level = "info"
# Compress archived log files or not
#
#compress = false
# The number of log files retained by the current explorer server instance in the `path` directory
#
#rotationCount = 30
# Rotate when the log file reaches this size
#
#rotationSize = "1GB"
# Log downgrade when the remaining disk space reaches this size, only logging `ERROR` level logs
#
#reservedDiskSize = "1GB"
# The number of days log files are retained
#
#keepDays = 30
# Watching the configuration file for log.loggers changes, default to true.
#
#watching = true
# Customize the log output level of modules, and changes will be applied after modifying the file when log.watching is enabled
#
# ## Examples:
#
# crate = "error"
# crate::mod1::mod2 = "info"
# crate::span[field=value] = "warn"
#
[log.loggers]
#"actix_server::accept" = "warn"
#"taos::query" = "warn"
```
You can see that the configuration is similar to the first one, with the addition of the taosx configuration. The taosx service is configured with similar storage configuration as the server service, and the server service is configured with 3 replicas. Since the taosx service is not cluster-ready, it is recommended to deploy it separately.
After configuring the values.yaml file, use the following command to install the TDengine Chart:
```shell
helm install replica3 tdengine-enterprise-3.5.0.tgz -f values.yaml
```
You can use the following command to expose the explorer service to the outside world with ingress:
```shell
tee replica3-ingress.yaml <<EOF
# This is a helm chart example for deploying 3 replicas of TDengine Explorer
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: replica3-ingress
namespace: default
spec:
rules:
- host: replica3.local.tdengine.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: replica3-tdengine-taosx
port:
number: 6060
EOF
kubectl apply -f replica3-ingress.yaml
```
Use `kubectl get ingress` to view the ingress service.
```shell
root@server:/data1/projects/helm# kubectl get ingress
NAME CLASS HOSTS ADDRESS PORTS AGE
replica3-ingress nginx replica3.local.tdengine.com 192.168.1.58 80 48m
```
You can configure the domain name resolution to point to the ingress service's external IP address. For example, add the following line to the hosts file:
```conf
192.168.1.58 replica3.local.tdengine.com
```
Now you can access the explorer service through the domain name `replica3.local.tdengine.com`.
```shell
curl http://replica3.local.tdengine.com
```

11
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@ -0,0 +1,11 @@
---
title: Deploying Your Cluster
slug: /operations-and-maintenance/deploy-your-cluster
---
import DocCardList from '@theme/DocCardList';
import {useCurrentSidebarCategory} from '@docusaurus/theme-common';
You can deploy a TDengine cluster manually, by using Docker, or by using Kubernetes. For Kubernetes deployments, you can use kubectl or Helm.
<DocCardList items={useCurrentSidebarCategory().items}/>

59
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@ -70,6 +70,7 @@ Metric details (from top to bottom, left to right):
- **Databases** - Number of databases.
- **Connections** - Current number of connections.
- **DNodes/MNodes/VGroups/VNodes**: Total and alive count of each resource.
- **Classified Connection Counts**: The current number of active connections, classified by user, application, and IP.
- **DNodes/MNodes/VGroups/VNodes Alive Percent**: The ratio of alive/total for each resource, enable alert rules, and trigger when the resource survival rate (average healthy resource ratio within 1 minute) is less than 100%.
- **Measuring Points Used**: Number of measuring points used with alert rules enabled (no data for community edition, healthy by default).
@ -183,22 +184,22 @@ After importing, click on "Alert rules" on the left side of the Grafana interfac
The specific configuration of the 14 alert rules is as follows:
| alert rule| Rule threshold| Behavior when no data | Data scanning interval |Duration | SQL |
| ------ | --------- | ---------------- | ----------- |------- |----------------------|
|CPU load of dnode node|average > 80%|Trigger alert|5 minutes|5 minutes |`select now(), dnode_id, last(cpu_system) as cup_use from log.taosd_dnodes_info where _ts >= (now- 5m) and _ts < now partition by dnode_id having first(_ts) > 0 `|
|Memory of dnode node |average > 60%|Trigger alert|5 minutes|5 minutes|`select now(), dnode_id, last(mem_engine) / last(mem_total) * 100 as taosd from log.taosd_dnodes_info where _ts >= (now- 5m) and _ts <now partition by dnode_id`|
|Disk capacity occupancy of dnode nodes | > 80%|Trigger alert|5 minutes|5 minutes|`select now(), dnode_id, data_dir_level, data_dir_name, last(used) / last(total) * 100 as used from log.taosd_dnodes_data_dirs where _ts >= (now - 5m) and _ts < now partition by dnode_id, data_dir_level, data_dir_name`|
|Authorization expires |< 60天|Trigger alert|1 day|0 0 seconds|`select now(), cluster_id, last(grants_expire_time) / 86400 as expire_time from log.taosd_cluster_info where _ts >= (now - 24h) and _ts < now partition by cluster_id having first(_ts) > 0 `|
|The used measurement points has reached the authorized number|>= 90%|Trigger alert|1 day|0 seconds|`select now(), cluster_id, CASE WHEN max(grants_timeseries_total) > 0.0 THEN max(grants_timeseries_used) /max(grants_timeseries_total) * 100.0 ELSE 0.0 END AS result from log.taosd_cluster_info where _ts >= (now - 30s) and _ts < now partition by cluster_id having timetruncate(first(_ts), 1m) > 0`|
|Number of concurrent query requests | > 100|Do not trigger alert|1 minute|0 seconds|`select now() as ts, count(*) as slow_count from performance_schema.perf_queries`|
|Maximum time for slow query execution (no time window) |> 300秒|Do not trigger alert|1 minute|0 seconds|`select now() as ts, count(*) as slow_count from performance_schema.perf_queries where exec_usec>300000000`|
|dnode offline |total != alive|Trigger alert|30 seconds|0 seconds|`select now(), cluster_id, last(dnodes_total) - last(dnodes_alive) as dnode_offline from log.taosd_cluster_info where _ts >= (now -30s) and _ts < now partition by cluster_id having first(_ts) > 0`|
|vnode offline |total != alive|Trigger alert|30 seconds|0 seconds|`select now(), cluster_id, last(vnodes_total) - last(vnodes_alive) as vnode_offline from log.taosd_cluster_info where _ts >= (now - 30s) and _ts < now partition by cluster_id having first(_ts) > 0 `|
|Number of data deletion requests |> 0|Do not trigger alert|30 seconds|0 seconds|``select now(), count(`count`) as `delete_count` from log.taos_sql_req where sql_type = 'delete' and _ts >= (now -30s) and _ts < now``|
|Adapter RESTful request fail |> 5|Do not trigger alert|30 seconds|0 seconds|``select now(), sum(`fail`) as `Failed` from log.adapter_requests where req_type=0 and ts >= (now -30s) and ts < now``|
|Adapter WebSocket request fail |> 5|Do not trigger alert|30 seconds|0 seconds|``select now(), sum(`fail`) as `Failed` from log.adapter_requests where req_type=1 and ts >= (now -30s) and ts < now``|
|Dnode data reporting is missing |< 3|Trigger alert|180 seconds|0 seconds|`select now(), cluster_id, count(*) as dnode_report from log.taosd_cluster_info where _ts >= (now -180s) and _ts < now partition by cluster_id having timetruncate(first(_ts), 1h) > 0`|
|Restart dnode |max(update_time) > last(update_time)|Trigger alert|90 seconds|0 seconds|`select now(), dnode_id, max(uptime) - last(uptime) as dnode_restart from log.taosd_dnodes_info where _ts >= (now - 90s) and _ts < now partition by dnode_id`|
| alert rule | Rule threshold | Behavior when no data | Data scanning interval | Duration | SQL |
| ------------------------------------------------------------- | ------------------------------------ | --------------------- | ---------------------- | ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| CPU load of dnode node | average > 80% | Trigger alert | 5 minutes | 5 minutes | `select now(), dnode_id, last(cpu_system) as cup_use from log.taosd_dnodes_info where _ts >= (now- 5m) and _ts < now partition by dnode_id having first(_ts) > 0 ` |
| Memory of dnode node | average > 60% | Trigger alert | 5 minutes | 5 minutes | `select now(), dnode_id, last(mem_engine) / last(mem_total) * 100 as taosd from log.taosd_dnodes_info where _ts >= (now- 5m) and _ts <now partition by dnode_id` |
| Disk capacity occupancy of dnode nodes | > 80% | Trigger alert | 5 minutes | 5 minutes | `select now(), dnode_id, data_dir_level, data_dir_name, last(used) / last(total) * 100 as used from log.taosd_dnodes_data_dirs where _ts >= (now - 5m) and _ts < now partition by dnode_id, data_dir_level, data_dir_name` |
| Authorization expires | < 60天 | Trigger alert | 1 day | 0 0 seconds | `select now(), cluster_id, last(grants_expire_time) / 86400 as expire_time from log.taosd_cluster_info where _ts >= (now - 24h) and _ts < now partition by cluster_id having first(_ts) > 0 ` |
| The used measurement points has reached the authorized number | >= 90% | Trigger alert | 1 day | 0 seconds | `select now(), cluster_id, CASE WHEN max(grants_timeseries_total) > 0.0 THEN max(grants_timeseries_used) /max(grants_timeseries_total) * 100.0 ELSE 0.0 END AS result from log.taosd_cluster_info where _ts >= (now - 30s) and _ts < now partition by cluster_id having timetruncate(first(_ts), 1m) > 0` |
| Number of concurrent query requests | > 100 | Do not trigger alert | 1 minute | 0 seconds | `select now() as ts, count(*) as slow_count from performance_schema.perf_queries` |
| Maximum time for slow query execution (no time window) | > 300秒 | Do not trigger alert | 1 minute | 0 seconds | `select now() as ts, count(*) as slow_count from performance_schema.perf_queries where exec_usec>300000000` |
| dnode offline | total != alive | Trigger alert | 30 seconds | 0 seconds | `select now(), cluster_id, last(dnodes_total) - last(dnodes_alive) as dnode_offline from log.taosd_cluster_info where _ts >= (now -30s) and _ts < now partition by cluster_id having first(_ts) > 0` |
| vnode offline | total != alive | Trigger alert | 30 seconds | 0 seconds | `select now(), cluster_id, last(vnodes_total) - last(vnodes_alive) as vnode_offline from log.taosd_cluster_info where _ts >= (now - 30s) and _ts < now partition by cluster_id having first(_ts) > 0 ` |
| Number of data deletion requests | > 0 | Do not trigger alert | 30 seconds | 0 seconds | ``select now(), count(`count`) as `delete_count` from log.taos_sql_req where sql_type = 'delete' and _ts >= (now -30s) and _ts < now`` |
| Adapter RESTful request fail | > 5 | Do not trigger alert | 30 seconds | 0 seconds | ``select now(), sum(`fail`) as `Failed` from log.adapter_requests where req_type=0 and ts >= (now -30s) and ts < now`` |
| Adapter WebSocket request fail | > 5 | Do not trigger alert | 30 seconds | 0 seconds | ``select now(), sum(`fail`) as `Failed` from log.adapter_requests where req_type=1 and ts >= (now -30s) and ts < now`` |
| Dnode data reporting is missing | < 3 | Trigger alert | 180 seconds | 0 seconds | `select now(), cluster_id, count(*) as dnode_report from log.taosd_cluster_info where _ts >= (now -180s) and _ts < now partition by cluster_id having timetruncate(first(_ts), 1h) > 0` |
| Restart dnode | max(update_time) > last(update_time) | Trigger alert | 90 seconds | 0 seconds | `select now(), dnode_id, max(uptime) - last(uptime) as dnode_restart from log.taosd_dnodes_info where _ts >= (now - 90s) and _ts < now partition by dnode_id` |
TDengine users can modify and improve these alert rules according to their own business needs. In Grafana 7.5 and below versions, the Dashboard and Alert rules functions are combined, while in subsequent new versions, the two functions are separated. To be compatible with Grafana7.5 and below versions, an Alert Used Only panel has been added to the TDinsight panel, which is only required for Grafana7.5 and below versions.
@ -258,19 +259,19 @@ Install and configure TDinsight dashboard in Grafana on Ubuntu 18.04/20.04 syste
Most command line options can also be achieved through environment variables.
| Short Option | Long Option | Environment Variable | Description |
| ------------ | ------------------------------- | ------------------------------ | -------------------------------------------------------- |
| -v | --plugin-version | TDENGINE_PLUGIN_VERSION | TDengine datasource plugin version, default is latest. |
| -P | --grafana-provisioning-dir | GF_PROVISIONING_DIR | Grafana provisioning directory, default is `/etc/grafana/provisioning/` |
| -G | --grafana-plugins-dir | GF_PLUGINS_DIR | Grafana plugins directory, default is `/var/lib/grafana/plugins`. |
| -O | --grafana-org-id | GF_ORG_ID | Grafana organization ID, default is 1. |
| -n | --tdengine-ds-name | TDENGINE_DS_NAME | TDengine datasource name, default is TDengine. |
| -a | --tdengine-api | TDENGINE_API | TDengine REST API endpoint. Default is `http://127.0.0.1:6041`. |
| -u | --tdengine-user | TDENGINE_USER | TDengine user name. [default: root] |
| -p | --tdengine-password | TDENGINE_PASSWORD | TDengine password. [default: taosdata] |
| -i | --tdinsight-uid | TDINSIGHT_DASHBOARD_UID | TDinsight dashboard `uid`. [default: tdinsight] |
| -t | --tdinsight-title | TDINSIGHT_DASHBOARD_TITLE | TDinsight dashboard title. [default: TDinsight] |
| -e | --tdinsight-editable | TDINSIGHT_DASHBOARD_EDITABLE | If the provisioning dashboard could be editable. [default: false] |
| Short Option | Long Option | Environment Variable | Description |
| ------------ | -------------------------- | ---------------------------- | ----------------------------------------------------------------------- |
| -v | --plugin-version | TDENGINE_PLUGIN_VERSION | TDengine datasource plugin version, default is latest. |
| -P | --grafana-provisioning-dir | GF_PROVISIONING_DIR | Grafana provisioning directory, default is `/etc/grafana/provisioning/` |
| -G | --grafana-plugins-dir | GF_PLUGINS_DIR | Grafana plugins directory, default is `/var/lib/grafana/plugins`. |
| -O | --grafana-org-id | GF_ORG_ID | Grafana organization ID, default is 1. |
| -n | --tdengine-ds-name | TDENGINE_DS_NAME | TDengine datasource name, default is TDengine. |
| -a | --tdengine-api | TDENGINE_API | TDengine REST API endpoint. Default is `http://127.0.0.1:6041`. |
| -u | --tdengine-user | TDENGINE_USER | TDengine user name. [default: root] |
| -p | --tdengine-password | TDENGINE_PASSWORD | TDengine password. [default: taosdata] |
| -i | --tdinsight-uid | TDINSIGHT_DASHBOARD_UID | TDinsight dashboard `uid`. [default: tdinsight] |
| -t | --tdinsight-title | TDINSIGHT_DASHBOARD_TITLE | TDinsight dashboard title. [default: TDinsight] |
| -e | --tdinsight-editable | TDINSIGHT_DASHBOARD_EDITABLE | If the provisioning dashboard could be editable. [default: false] |
:::note
The new version of the plugin uses the Grafana unified alerting feature, the `-E` option is no longer supported.

6
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@ -10,11 +10,7 @@ slug: /tdengine-reference/tools/taosdump
## Installation
Taosdump provides two installation methods:
- Taosdump is the default installation component in the TDengine installation package, which can be used after installing TDengine. For how to install TDengine, please refer to [TDengine Installation](../../../get-started/)
- Compile and install taos tools separately, refer to [taos tools](https://github.com/taosdata/taos-tools) .
taosdump is the default installation component in the TDengine installation package, which can be used after installing TDengine. For how to install TDengine, please refer to [TDengine Installation](../../../get-started/)
## Common Use Cases

12
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@ -8,11 +8,7 @@ TaosBenchmark is a performance benchmarking tool for TDengine products, providin
## Installation
taosBenchmark provides two installation methods:
- taosBenchmark is the default installation component in the TDengine installation package, which can be used after installing TDengine. For how to install TDengine, please refer to [TDengine Installation](../../../get started/)
- Compile and install taos tools separately, refer to [taos tools](https://github.com/taosdata/taos-tools) .
taosBenchmark is the default installation component in the TDengine installation package, which can be used after installing TDengine. For how to install TDengine, please refer to [TDengine Installation](../../../get started/)
## Operation
@ -63,7 +59,7 @@ taosBenchmark -f <json file>
<summary>insert.json</summary>
```json
{{#include /taos-tools/example/insert.json}}
{{#include /TDengine/tools/taos-tools/example/insert.json}}
```
</details>
@ -74,7 +70,7 @@ taosBenchmark -f <json file>
<summary>query.json</summary>
```json
{{#include /taos-tools/example/query.json}}
{{#include /TDengine/tools/taos-tools/example/query.json}}
```
</details>
@ -85,7 +81,7 @@ taosBenchmark -f <json file>
<summary>tmq.json</summary>
```json
{{#include /taos-tools/example/tmq.json}}
{{#include /TDengine/tools/taos-tools/example/tmq.json}}
```
</details>

6
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@ -11,7 +11,7 @@ import imgStream from './assets/stream-processing-01.png';
```sql
CREATE STREAM [IF NOT EXISTS] stream_name [stream_options] INTO stb_name[(field1_name, field2_name [PRIMARY KEY], ...)] [TAGS (create_definition [, create_definition] ...)] SUBTABLE(expression) AS subquery
stream_options: {
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time]
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time | FORCE_WINDOW_CLOSE]
WATERMARK time
IGNORE EXPIRED [0|1]
DELETE_MARK time
@ -58,6 +58,10 @@ window_clause: {
Where SESSION is a session window, tol_val is the maximum range of the time interval. All data within the tol_val time interval belong to the same window. If the time between two consecutive data points exceeds tol_val, the next window automatically starts. The window's_wend equals the last data point's time plus tol_val.
STATE_WINDOW is a state window. The col is used to identify the state value. Values with the same state value belong to the same state window. When the value of col changes, the current window ends and the next window is automatically opened.
INTERVAL is a time window, which can be further divided into sliding time windows and tumbling time windows.The INTERVAL clause is used to specify the equal time period of the window, and the SLIDING clause is used to specify the time by which the window slides forward. When the value of interval_val is equal to the value of sliding_val, the time window is a tumbling time window; otherwise, it is a sliding time window. Note: The value of sliding_val must be less than or equal to the value of interval_val.
EVENT_WINDOW is an event window, defined by start and end conditions. The window starts when the start_trigger_condition is met and closes when the end_trigger_condition is met. start_trigger_condition and end_trigger_condition can be any condition expression supported by TDengine and can include different columns.
COUNT_WINDOW is a count window, dividing the window by a fixed number of data rows. count_val is a constant, a positive integer, must be at least 2 and less than 2147483648. count_val represents the maximum number of data rows each COUNT_WINDOW contains. If the total number of data rows is not divisible by count_val, the last window will have fewer rows than count_val. sliding_val is a constant, representing the number of rows the window slides, similar to the SLIDING in INTERVAL.

2
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@ -4,7 +4,7 @@ title: taosTools Release History and Download Links
slug: /release-history/taostools
---
Download links for various versions of taosTools are as follows:
Starting from version 3.0.6.0, taosTools has been integrated into the TDengine installation package and is no longer provided separately. Download links for various versions of taosTools (corresponding to TDengine 3.0.5.2 and earlier) are as follows:
For other historical versions, please visit [here](https://tdengine.com/downloads/historical)

12
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@ -23,7 +23,7 @@ CREATE STREAM [IF NOT EXISTS] stream_name [stream_options] INTO stb_name
SUBTABLE(expression) AS subquery
stream_options: {
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time]
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time | FORCE_WINDOW_CLOSE]
WATERMARK time
IGNORE EXPIRED [0|1]
DELETE_MARK time
@ -52,13 +52,17 @@ window_cluse: {
}
```
subquery 支持会话窗口、状态窗口与滑动窗口。其中，会话窗口与状态窗口搭配超级表时必须与 partition by tbname 一起使用。
subquery 支持会话窗口、状态窗口、时间窗口、事件窗口与计数窗口。其中，状态窗口、事件窗口与计数窗口搭配超级表时必须与 partition by tbname 一起使用。
1. 其中，SESSION 是会话窗口，tol_val 是时间间隔的最大范围。在 tol_val 时间间隔范围内的数据都属于同一个窗口，如果连续的两条数据的时间间隔超过 tol_val，则自动开启下一个窗口。
2. EVENT_WINDOW 是事件窗口，根据开始条件和结束条件来划定窗口。当 start_trigger_condition 满足时则窗口开始，直到 end_trigger_condition 满足时窗口关闭。 start_trigger_condition 和 end_trigger_condition 可以是任意 TDengine 支持的条件表达式，且可以包含不同的列。
2. STATE_WINDOW 是状态窗口，col 用来标识状态量，相同的状态量数值则归属于同一个状态窗口，col 数值改变后则当前窗口结束，自动开启下一个窗口。
3. COUNT_WINDOW 是计数窗口，按固定的数据行数来划分窗口。 count_val 是常量，是正整数，必须大于等于 2，小于 2147483648。 count_val 表示每个 COUNT_WINDOW 包含的最大数据行数，总数据行数不能整除 count_val 时，最后一个窗口的行数会小于 count_val 。 sliding_val 是常量，表示窗口滑动的数量，类似于 INTERVAL 的 SLIDING 。
3. INTERVAL 是时间窗口，又可分为滑动时间窗口和翻转时间窗口。INTERVAL 子句用于指定窗口相等时间周期，SLIDING 字句用于指定窗口向前滑动的时间。当 interval_val 与 sliding_val 相等的时候，时间窗口即为翻转时间窗口，否则为滑动时间窗口，注意：sliding_val 必须小于等于 interval_val。
4. EVENT_WINDOW 是事件窗口，根据开始条件和结束条件来划定窗口。当 start_trigger_condition 满足时则窗口开始，直到 end_trigger_condition 满足时窗口关闭。 start_trigger_condition 和 end_trigger_condition 可以是任意 TDengine 支持的条件表达式，且可以包含不同的列。
5. COUNT_WINDOW 是计数窗口，按固定的数据行数来划分窗口。 count_val 是常量，是正整数，必须大于等于 2，小于 2147483648。 count_val 表示每个 COUNT_WINDOW 包含的最大数据行数，总数据行数不能整除 count_val 时，最后一个窗口的行数会小于 count_val 。 sliding_val 是常量，表示窗口滑动的数量，类似于 INTERVAL 的 SLIDING 。
窗口的定义与时序数据窗口查询中的定义完全相同，具体可参考 TDengine 窗口函数部分。

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@ -60,6 +60,7 @@ TDinsight 仪表盘旨在提供 TDengine 相关资源的使用情况和状态，
- **Databases** - 数据库个数。
- **Connections** - 当前连接个数。
- **DNodes/MNodes/VGroups/VNodes**：每种资源的总数和存活数。
- **Classified Connection Counts**：当前活跃连接数，按用户、应用和 ip 分类。
- **DNodes/MNodes/VGroups/VNodes Alive Percent**：每种资源的存活数/总数的比例，启用告警规则，并在资源存活率（1 分钟内平均健康资源比例）不足 100%时触发。
- **Measuring Points Used**：启用告警规则的测点数用量（社区版无数据，默认情况下是健康的）。

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@ -9,11 +9,7 @@ taosdump 是为开源用户提供的 TDengine 数据备份/恢复工具，备份
## 安装
taosdump 提供两种安装方式:
- taosdump 是 TDengine 安装包中默认安装组件，安装 TDengine 后即可使用，可参考[TDengine 安装](../../../get-started/)
- 单独编译 taos-tools 并安装, 参考 [taos-tools](https://github.com/taosdata/taos-tools) 仓库。
taosdump 是 TDengine 安装包中默认安装组件，安装 TDengine 后即可使用，可参考 [TDengine 安装](../../../get-started/)
## 常用使用场景

14
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@ -8,11 +8,7 @@ taosBenchmark 是 TDengine 产品性能基准测试工具，提供对 TDengine
## 安装
taosBenchmark 提供两种安装方式:
- taosBenchmark 是 TDengine 安装包中默认安装组件，安装 TDengine 后即可使用，参考 [TDengine 安装](../../../get-started/)
- 单独编译 taos-tools 并安装, 参考 [taos-tools](https://github.com/taosdata/taos-tools) 仓库。
taosBenchmark 是 TDengine 安装包中默认安装组件，安装 TDengine 后即可使用，参考 [TDengine 安装](../../../get-started/)
## 运行
@ -62,7 +58,7 @@ taosBenchmark -f <json file>
<summary>insert.json</summary>
```json
{{#include /taos-tools/example/insert.json}}
{{#include /TDengine/tools/taos-tools/example/insert.json}}
```
</details>
@ -73,7 +69,7 @@ taosBenchmark -f <json file>
<summary>query.json</summary>
```json
{{#include /taos-tools/example/query.json}}
{{#include /TDengine/tools/taos-tools/example/query.json}}
```
</details>
@ -84,12 +80,12 @@ taosBenchmark -f <json file>
<summary>tmq.json</summary>
```json
{{#include /taos-tools/example/tmq.json}}
{{#include /TDengine/tools/taos-tools/example/tmq.json}}
```
</details>
查看更多 json 配置文件示例可 [点击这里](https://github.com/taosdata/taos-tools/tree/main/example)
查看更多 json 配置文件示例可 [点击这里](https://github.com/taosdata/TDengine/tree/main/tools/taos-tools/example)
## 命令行参数详解
| 命令行参数 | 功能说明 |

2
docs/zh/14-reference/03-taos-sql/03-table.md
View File

@ -44,7 +44,7 @@ table_option: {
1. 表（列）名命名规则参见[名称命名规则](./19-limit.md#名称命名规则)。
2. 表名最大长度为 192。
3. 表的第一个字段必须是 TIMESTAMP，并且系统自动将其设为主键。
4. 除时间戳主键列之外，还可以通过 PRIMARY KEY 关键字指定第二列为额外的主键列。被指定为主键列的第二列必须为整型或字符串类型（VARCHAR）。
4. 除时间戳主键列之外，还可以通过 PRIMARY KEY 关键字指定第二列为额外的主键列，该列与时间戳列共同组成复合主键。当设置了复合主键时，两条记录的时间戳列与 PRIMARY KEY 列都相同，才会被认为是重复记录，数据库只保留最新的一条；否则视为两条记录，全部保留。注意：被指定为主键列的第二列必须为整型或字符串类型（VARCHAR）。
5. 表的每行长度不能超过 48KB（从 3.0.5.0 版本开始为 64KB）;（注意：每个 VARCHAR/NCHAR/GEOMETRY 类型的列还会额外占用 2 个字节的存储位置）。
6. 使用数据类型 VARCHAR/NCHAR/GEOMETRY，需指定其最长的字节数，如 VARCHAR(20)，表示 20 字节。
7. 关于 `ENCODE` 和 `COMPRESS` 的使用，请参考[按列压缩](../compress)

2
docs/zh/14-reference/03-taos-sql/04-stable.md
View File

@ -26,7 +26,7 @@ table_option: {
**使用说明**
1. 超级表中列的最大个数为 4096，需要注意，这里的 4096 是包含 TAG 列在内的，最小个数为 3，包含一个时间戳主键、一个 TAG 列和一个数据列。
2. 除时间戳主键列之外，还可以通过 PRIMARY KEY 关键字指定第二列为额外的主键列。被指定为主键列的第二列必须为整型或字符串类型（varchar）
2. 除时间戳主键列之外，还可以通过 PRIMARY KEY 关键字指定第二列为额外的主键列，该列与时间戳列共同组成复合主键。当设置了复合主键时，两条记录的时间戳列与 PRIMARY KEY 列都相同，才会被认为是重复记录，数据库只保留最新的一条；否则视为两条记录，全部保留。注意：被指定为主键列的第二列必须为整型或字符串类型（varchar）。
3. TAGS语法指定超级表的标签列，标签列需要遵循以下约定：
- TAGS 中的 TIMESTAMP 列写入数据时需要提供给定值，而暂不支持四则运算，例如 NOW + 10s 这类表达式。
- TAGS 列名不能与其他列名相同。

6
docs/zh/14-reference/03-taos-sql/14-stream.md
View File

@ -10,7 +10,7 @@ description: 流式计算的相关 SQL 的详细语法
```sql
CREATE STREAM [IF NOT EXISTS] stream_name [stream_options] INTO stb_name[(field1_name, field2_name [PRIMARY KEY], ...)] [TAGS (create_definition [, create_definition] ...)] SUBTABLE(expression) AS subquery
stream_options: {
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time]
TRIGGER [AT_ONCE | WINDOW_CLOSE | MAX_DELAY time | FORCE_WINDOW_CLOSE]
WATERMARK time
IGNORE EXPIRED [0|1]
DELETE_MARK time
@ -56,6 +56,10 @@ window_clause: {
其中，SESSION 是会话窗口，tol_val 是时间间隔的最大范围。在 tol_val 时间间隔范围内的数据都属于同一个窗口，如果连续的两条数据的时间超过 tol_val，则自动开启下一个窗口。该窗口的 _wend 等于最后一条数据的时间加上 tol_val。
STATE_WINDOW 是状态窗口，col 用来标识状态量，相同的状态量数值则归属于同一个状态窗口，col 数值改变后则当前窗口结束，自动开启下一个窗口。
INTERVAL 是时间窗口，又可分为滑动时间窗口和翻转时间窗口。INTERVAL 子句用于指定窗口相等时间周期，SLIDING 字句用于指定窗口向前滑动的时间。当 interval_val 与 sliding_val 相等的时候，时间窗口即为翻转时间窗口，否则为滑动时间窗口，注意：sliding_val 必须小于等于 interval_val。
EVENT_WINDOW 是事件窗口，根据开始条件和结束条件来划定窗口。当 start_trigger_condition 满足时则窗口开始，直到 end_trigger_condition 满足时窗口关闭。 start_trigger_condition 和 end_trigger_condition 可以是任意 TDengine 支持的条件表达式，且可以包含不同的列。
COUNT_WINDOW 是计数窗口,按固定的数据行数来划分窗口。 count_val 是常量，是正整数，必须大于等于2，小于2147483648。 count_val 表示每个 COUNT_WINDOW 包含的最大数据行数，总数据行数不能整除 count_val 时，最后一个窗口的行数会小于 count_val 。 sliding_val 是常量，表示窗口滑动的数量，类似于 INTERVAL 的 SLIDING 。

4
docs/zh/28-releases/02-tools.md
View File

@ -4,9 +4,9 @@ title: taosTools 发布历史及下载链接
description: taosTools 的发布历史、Release Notes 和下载链接
---
taosTools 各版本安装包下载链接如下：
从 3.0.6.0 开始，taosTools 集成到 TDengine 的安装包中，不再单独提供。taosTools（对应 TDengine 3.0.5.2及以下）各版本安装包下载链接如下：
其他历史版本安装包请访问[这里](https://www.taosdata.com/all-downloads)
2.6 的历史版本安装包请访问[这里](https://www.taosdata.com/all-downloads)
import Release from "/components/ReleaseV3";

1
include/common/tglobal.h
View File

@ -326,7 +326,6 @@ int32_t tDeserializeSConfigArray(SDecoder *pDecoder, SArray *array);
int32_t setAllConfigs(SConfig *pCfg);
void printConfigNotMatch(SArray *array);
int32_t compareSConfigItemArrays(SArray *mArray, const SArray *dArray, SArray *diffArray);
bool isConifgItemLazyMode(SConfigItem *item);
int32_t taosUpdateTfsItemDisable(SConfig *pCfg, const char *value, void *pTfs);

86
include/common/ttypes.h
View File

@ -216,55 +216,43 @@ typedef struct {
} \
} while (0)
#define NUM_TO_STRING(_inputType, _input, _outputBytes, _output) \
do { \
switch (_inputType) { \
case TSDB_DATA_TYPE_TINYINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int8_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_UTINYINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(uint8_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_SMALLINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int16_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_USMALLINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(uint16_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_TIMESTAMP: \
case TSDB_DATA_TYPE_BIGINT: \
snprintf(_output, (int32_t)(_outputBytes), "%" PRId64, *(int64_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_UBIGINT: \
snprintf(_output, (int32_t)(_outputBytes), "%" PRIu64, *(uint64_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_FLOAT: { \
int32_t n = snprintf(_output, (int32_t)(_outputBytes), "%f", *(float *)(_input)); \
if (n >= (_outputBytes)) { \
n = snprintf(_output, (int32_t)(_outputBytes), "%.7e", *(float *)(_input)); \
if (n >= (_outputBytes)) { \
snprintf(_output, (int32_t)(_outputBytes), "%f", *(float *)(_input)); \
} \
} \
break; \
} \
case TSDB_DATA_TYPE_DOUBLE: { \
int32_t n = snprintf(_output, (int32_t)(_outputBytes), "%f", *(double *)(_input)); \
if (n >= (_outputBytes)) { \
snprintf(_output, (int32_t)(_outputBytes), "%.15e", *(double *)(_input)); \
if (n >= (_outputBytes)) { \
snprintf(_output, (int32_t)(_outputBytes), "%f", *(double *)(_input)); \
} \
} \
break; \
} \
case TSDB_DATA_TYPE_UINT: \
snprintf(_output, (int32_t)(_outputBytes), "%u", *(uint32_t *)(_input)); \
break; \
default: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int32_t *)(_input)); \
break; \
} \
#define NUM_TO_STRING(_inputType, _input, _outputBytes, _output) \
do { \
switch (_inputType) { \
case TSDB_DATA_TYPE_TINYINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int8_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_UTINYINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(uint8_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_SMALLINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int16_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_USMALLINT: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(uint16_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_TIMESTAMP: \
case TSDB_DATA_TYPE_BIGINT: \
snprintf(_output, (int32_t)(_outputBytes), "%" PRId64, *(int64_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_UBIGINT: \
snprintf(_output, (int32_t)(_outputBytes), "%" PRIu64, *(uint64_t *)(_input)); \
break; \
case TSDB_DATA_TYPE_FLOAT: { \
snprintf(_output, (int32_t)(_outputBytes), "%.*g", FLT_DIG, *(float *)(_input)); \
break; \
} \
case TSDB_DATA_TYPE_DOUBLE: { \
snprintf(_output, (int32_t)(_outputBytes), "%.*g", DBL_DIG, *(double *)(_input)); \
break; \
} \
case TSDB_DATA_TYPE_UINT: \
snprintf(_output, (int32_t)(_outputBytes), "%u", *(uint32_t *)(_input)); \
break; \
default: \
snprintf(_output, (int32_t)(_outputBytes), "%d", *(int32_t *)(_input)); \
break; \
} \
} while (0)
// TODO: use varchar(0) to represent NULL type

1
include/libs/nodes/cmdnodes.h
View File

@ -82,6 +82,7 @@ typedef struct SDatabaseOptions {
int32_t minRowsPerBlock;
SNodeList* pKeep;
int64_t keep[3];
SValueNode* pKeepTimeOffsetNode;
int32_t keepTimeOffset;
int32_t pages;
int32_t pagesize;

1
include/os/osTimezone.h
View File

@ -35,6 +35,7 @@ time_t mktime_z(timezone_t, struct tm *);
timezone_t tzalloc(char const *);
void tzfree(timezone_t);
void getTimezoneStr(char *tz);
void truncateTimezoneString(char *tz);
#endif

5
packaging/tools/mac_before_install.txt
View File

@ -1,9 +1,4 @@
TDengine is an open-source, cloud-native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. With its built-in caching, stream processing, and data subscription capabilities, TDengine offers a simplified solution for time-series data processing.
• To configure TDengine, edit /etc/taos/taos.cfg
• To start service, run launchctl start com.tdengine.taosd
• To start Taos Adapter, run launchctl start com.tdengine.taosadapter
• To access TDengine from your local machine, run taos
If you're experiencing problems installing TDengine, check the file /var/log/taos/tdengine_install.log to help troubleshoot the installation.

8
packaging/tools/mac_before_install_client.txt
View File

@ -1,9 +1,3 @@
TDengine is an open-source, cloud-native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. With its built-in caching, stream processing, and data subscription capabilities, TDengine offers a simplified solution for time-series data processing.
After the installation process is complete, perform the following steps to start using TDengine:
1: Open Terminal on your Mac.
2: To connect to a TDengine server using the default settings and credentials, run the taos command.
3: To connect to a TDengine server using custom settings or credentials, run taos --help for more information.
4: To connect to TDengine Cloud, follow the instructions on the Tools - TDengine CLI page in your TDengine Cloud account.
If any issues occur during installation, check the /var/log/taos/tdengine_install.log file to troubleshoot.
If any issues occur during installation, check the /var/log/taos/tdengine_install.log file to troubleshoot.

6
packaging/tools/mac_install_summary_client.txt
View File

@ -1,4 +1,6 @@
TDengine client is installed successfully. Please open a terminal and execute the commands below:
To configure TDengine client, sudo vi /etc/taos/taos.cfg
To access TDengine command line interface, taos -h YouServerName
1: To configure TDengine client, sudo vi /etc/taos/taos.cfg
2: To get help information to run taos, taos --help
3: To connect to a TDengine server, taos -h YourServerName
4: To connect to TDengine Cloud, follow the instructions on the Tools - TDengine CLI page in your TDengine Cloud account.

4
source/client/src/clientMain.c
View File

@ -699,13 +699,13 @@ int taos_print_row_with_size(char *str, uint32_t size, TAOS_ROW row, TAOS_FIELD
case TSDB_DATA_TYPE_FLOAT: {
float fv = 0;
fv = GET_FLOAT_VAL(row[i]);
len += tsnprintf(str + len, size - len, "%f", fv);
len += snprintf(str + len, size - len, "%.*g", FLT_DIG, fv);
} break;
case TSDB_DATA_TYPE_DOUBLE: {
double dv = 0;
dv = GET_DOUBLE_VAL(row[i]);
len += tsnprintf(str + len, size - len, "%lf", dv);
len += snprintf(str + len, size - len, "%.*g", DBL_DIG, dv);
} break;
case TSDB_DATA_TYPE_VARBINARY: {

5
source/client/src/clientTmq.c
View File

@ -1639,11 +1639,6 @@ void tmqMgmtClose(void) {
break;
}
atomic_store_8(&tmq->status, TMQ_CONSUMER_STATUS__CLOSED);
if (taosRemoveRef(tmqMgmt.rsetId, tmq->refId) != 0) {
qWarn("taosRemoveRef tmq refId:%" PRId64 " failed, error:%s", refId, tstrerror(terrno));
}
tmq = taosIterateRef(tmqMgmt.rsetId, refId);
}
taosCloseRef(tmqMgmt.rsetId);

65
source/common/src/tglobal.c
View File

@ -713,11 +713,11 @@ static int32_t taosAddClientCfg(SConfig *pCfg) {
tsNumOfRpcThreads = tsNumOfCores / 2;
tsNumOfRpcThreads = TRANGE(tsNumOfRpcThreads, 2, TSDB_MAX_RPC_THREADS);
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "numOfRpcThreads", tsNumOfRpcThreads, 1, 1024, CFG_SCOPE_BOTH, CFG_DYN_BOTH_LAZY,
CFG_CATEGORY_GLOBAL));
CFG_CATEGORY_LOCAL));
tsNumOfRpcSessions = TRANGE(tsNumOfRpcSessions, 100, 100000);
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "numOfRpcSessions", tsNumOfRpcSessions, 1, 100000, CFG_SCOPE_BOTH,
CFG_DYN_BOTH_LAZY, CFG_CATEGORY_GLOBAL));
CFG_DYN_BOTH_LAZY, CFG_CATEGORY_LOCAL));
tsShareConnLimit = TRANGE(tsShareConnLimit, 1, 512);
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "shareConnLimit", tsShareConnLimit, 1, 512, CFG_SCOPE_BOTH, CFG_DYN_BOTH_LAZY,
@ -734,7 +734,7 @@ static int32_t taosAddClientCfg(SConfig *pCfg) {
tsNumOfTaskQueueThreads = TMAX(tsNumOfTaskQueueThreads, 16);
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "numOfTaskQueueThreads", tsNumOfTaskQueueThreads, 4, 1024, CFG_SCOPE_CLIENT,
CFG_DYN_CLIENT_LAZY, CFG_CATEGORY_GLOBAL));
CFG_DYN_CLIENT_LAZY, CFG_CATEGORY_LOCAL));
TAOS_CHECK_RETURN(
cfgAddBool(pCfg, "experimental", tsExperimental, CFG_SCOPE_BOTH, CFG_DYN_BOTH_LAZY, CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddBool(pCfg, "multiResultFunctionStarReturnTags", tsMultiResultFunctionStarReturnTags,
@ -864,12 +864,12 @@ static int32_t taosAddServerCfg(SConfig *pCfg) {
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "numOfSnodeSharedThreads", tsNumOfSnodeStreamThreads, 2, 1024, CFG_SCOPE_SERVER, CFG_DYN_SERVER_LAZY,CFG_CATEGORY_LOCAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "numOfSnodeUniqueThreads", tsNumOfSnodeWriteThreads, 2, 1024, CFG_SCOPE_SERVER, CFG_DYN_SERVER_LAZY,CFG_CATEGORY_LOCAL));
TAOS_CHECK_RETURN(cfgAddInt64(pCfg, "rpcQueueMemoryAllowed", tsQueueMemoryAllowed, TSDB_MAX_MSG_SIZE * RPC_MEMORY_USAGE_RATIO * 10L, INT64_MAX, CFG_SCOPE_SERVER, CFG_DYN_SERVER,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt64(pCfg, "rpcQueueMemoryAllowed", tsQueueMemoryAllowed, TSDB_MAX_MSG_SIZE * RPC_MEMORY_USAGE_RATIO * 10L, INT64_MAX, CFG_SCOPE_SERVER, CFG_DYN_SERVER,CFG_CATEGORY_LOCAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "syncElectInterval", tsElectInterval, 10, 1000 * 60 * 24 * 2, CFG_SCOPE_SERVER, CFG_DYN_NONE,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "syncHeartbeatInterval", tsHeartbeatInterval, 10, 1000 * 60 * 24 * 2, CFG_SCOPE_SERVER, CFG_DYN_NONE,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "syncHeartbeatTimeout", tsHeartbeatTimeout, 10, 1000 * 60 * 24 * 2, CFG_SCOPE_SERVER, CFG_DYN_NONE,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "syncSnapReplMaxWaitN", tsSnapReplMaxWaitN, 16, (TSDB_SYNC_SNAP_BUFFER_SIZE >> 2), CFG_SCOPE_SERVER, CFG_DYN_SERVER,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt64(pCfg, "syncLogBufferMemoryAllowed", tsLogBufferMemoryAllowed, TSDB_MAX_MSG_SIZE * 10L, INT64_MAX, CFG_SCOPE_SERVER, CFG_DYN_ENT_SERVER,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt64(pCfg, "syncLogBufferMemoryAllowed", tsLogBufferMemoryAllowed, TSDB_MAX_MSG_SIZE * 10L, INT64_MAX, CFG_SCOPE_SERVER, CFG_DYN_ENT_SERVER,CFG_CATEGORY_LOCAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "arbHeartBeatIntervalSec", tsArbHeartBeatIntervalSec, 1, 60 * 24 * 2, CFG_SCOPE_SERVER, CFG_DYN_SERVER,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "arbCheckSyncIntervalSec", tsArbCheckSyncIntervalSec, 1, 60 * 24 * 2, CFG_SCOPE_SERVER, CFG_DYN_SERVER,CFG_CATEGORY_GLOBAL));
@ -947,9 +947,7 @@ static int32_t taosAddServerCfg(SConfig *pCfg) {
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "cacheLazyLoadThreshold", tsCacheLazyLoadThreshold, 0, 100000, CFG_SCOPE_SERVER, CFG_DYN_ENT_SERVER,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddFloat(pCfg, "fPrecision", tsFPrecision, 0.0f, 100000.0f, CFG_SCOPE_SERVER, CFG_DYN_NONE,CFG_CATEGORY_GLOBAL));
SConfigItem *pItem = NULL;
TAOS_CHECK_GET_CFG_ITEM(pCfg, pItem, "fPrecision");
tsFPrecision = pItem->fval;
TAOS_CHECK_RETURN(cfgAddFloat(pCfg, "dPrecision", tsDPrecision, 0.0f, 1000000.0f, CFG_SCOPE_SERVER, CFG_DYN_NONE,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "maxRange", tsMaxRange, 0, 65536, CFG_SCOPE_SERVER, CFG_DYN_SERVER_LAZY,CFG_CATEGORY_GLOBAL));
TAOS_CHECK_RETURN(cfgAddInt32(pCfg, "curRange", tsCurRange, 0, 65536, CFG_SCOPE_SERVER, CFG_DYN_SERVER_LAZY,CFG_CATEGORY_GLOBAL));
@ -3196,57 +3194,6 @@ _exit:
return code;
}
bool compareSConfigItem(const SConfigItem *item1, const SConfigItem *item2) {
switch (item1->dtype) {
case CFG_DTYPE_BOOL:
if (item1->bval != item2->bval) return false;
break;
case CFG_DTYPE_FLOAT:
if (item1->fval != item2->fval) return false;
break;
case CFG_DTYPE_INT32:
if (item1->i32 != item2->i32) return false;
break;
case CFG_DTYPE_INT64:
if (item1->i64 != item2->i64) return false;
break;
case CFG_DTYPE_STRING:
case CFG_DTYPE_DIR:
case CFG_DTYPE_LOCALE:
case CFG_DTYPE_CHARSET:
case CFG_DTYPE_TIMEZONE:
if (strcmp(item1->str, item2->str) != 0) return false;
break;
default:
return false;
}
return true;
}
int32_t compareSConfigItemArrays(SArray *mArray, const SArray *dArray, SArray *diffArray) {
int32_t code = 0;
int32_t msz = taosArrayGetSize(mArray);
int32_t dsz = taosArrayGetSize(dArray);
if (msz != dsz) {
return TSDB_CODE_FAILED;
}
for (int i = 0; i < msz; i++) {
SConfigItem *mItem = (SConfigItem *)taosArrayGet(mArray, i);
SConfigItem *dItem = (SConfigItem *)taosArrayGet(dArray, i);
if (!compareSConfigItem(mItem, dItem)) {
code = TSDB_CODE_FAILED;
if (taosArrayPush(diffArray, mItem) == NULL) {
code = terrno;
return code;
}
}
}
return code;
}
void printConfigNotMatch(SArray *array) {
uError(
"The global configuration parameters in the configuration file do not match those in the cluster. Please "

16
source/dnode/mgmt/mgmt_vnode/src/vmInt.c
View File

@ -711,6 +711,21 @@ static void vmCloseVnodes(SVnodeMgmt *pMgmt) {
pMgmt->state.openVnodes = 0;
dInfo("close %d vnodes with %d threads", numOfVnodes, threadNum);
int64_t st = taosGetTimestampMs();
dInfo("notify all streams closed in all %d vnodes, ts:%" PRId64, numOfVnodes, st);
if (ppVnodes != NULL) {
for (int32_t i = 0; i < numOfVnodes; ++i) {
if (ppVnodes[i] != NULL) {
if (ppVnodes[i]->pImpl != NULL) {
tqNotifyClose(ppVnodes[i]->pImpl->pTq);
}
}
}
}
int64_t et = taosGetTimestampMs();
dInfo("notify close stream completed in %d vnodes, elapsed time: %" PRId64 "ms", numOfVnodes, et - st);
for (int32_t t = 0; t < threadNum; ++t) {
SVnodeThread *pThread = &threads[t];
if (pThread->vnodeNum == 0) continue;
@ -718,6 +733,7 @@ static void vmCloseVnodes(SVnodeMgmt *pMgmt) {
TdThreadAttr thAttr;
(void)taosThreadAttrInit(&thAttr);
(void)taosThreadAttrSetDetachState(&thAttr, PTHREAD_CREATE_JOINABLE);
if (taosThreadCreate(&pThread->thread, &thAttr, vmCloseVnodeInThread, pThread) != 0) {
dError("thread:%d, failed to create thread to close vnode since %s", pThread->threadIndex, strerror(errno));
}

91
source/dnode/mnode/impl/src/mndConfig.c
View File

@ -40,6 +40,7 @@ static int32_t initConfigArrayFromSdb(SMnode *pMnode, SArray *array);
static int32_t mndTryRebuildConfigSdb(SRpcMsg *pReq);
static void cfgArrayCleanUp(SArray *array);
static void cfgObjArrayCleanUp(SArray *array);
int32_t compareSConfigItemArrays(SMnode *pMnode, const SArray *dArray, SArray *diffArray);
static int32_t mndConfigUpdateTrans(SMnode *pMnode, const char *name, char *pValue, ECfgDataType dtype,
int32_t tsmmConfigVersion);
@ -250,7 +251,12 @@ static int32_t mndProcessConfigReq(SRpcMsg *pReq) {
configRsp.cver = vObj->i32;
if (configRsp.forceReadConfig) {
// compare config array from configReq with current config array
if (compareSConfigItemArrays(taosGetGlobalCfg(tsCfg), configReq.array, array)) {
code = compareSConfigItemArrays(pMnode, configReq.array, array);
if (code != TSDB_CODE_SUCCESS) {
mError("failed to compare config array, since %s", tstrerror(code));
goto _OVER;
}
if (taosArrayGetSize(array) > 0) {
configRsp.array = array;
} else {
configRsp.isConifgVerified = 1;
@ -293,7 +299,7 @@ _OVER:
}
sdbRelease(pMnode->pSdb, vObj);
cfgArrayCleanUp(array);
return TSDB_CODE_SUCCESS;
return code;
}
int32_t mndInitWriteCfg(SMnode *pMnode) {
@ -921,4 +927,85 @@ _OVER:
tFreeSShowVariablesRsp(&rsp);
TAOS_RETURN(code);
}
int32_t compareSConfigItem(const SConfigObj *item1, SConfigItem *item2, bool *compare) {
switch (item1->dtype) {
case CFG_DTYPE_BOOL:
if (item1->bval != item2->bval) {
item2->bval = item1->bval;
*compare = false;
}
break;
case CFG_DTYPE_FLOAT:
if (item1->fval != item2->fval) {
item2->fval = item1->fval;
*compare = false;
}
break;
case CFG_DTYPE_INT32:
if (item1->i32 != item2->i32) {
item2->i32 = item1->i32;
*compare = false;
}
break;
case CFG_DTYPE_INT64:
if (item1->i64 != item2->i64) {
item2->i64 = item1->i64;
*compare = false;
}
break;
case CFG_DTYPE_STRING:
case CFG_DTYPE_DIR:
case CFG_DTYPE_LOCALE:
case CFG_DTYPE_CHARSET:
case CFG_DTYPE_TIMEZONE:
if (strcmp(item1->str, item2->str) != 0) {
taosMemoryFree(item2->str);
item2->str = taosStrdup(item1->str);
if (item2->str == NULL) {
return TSDB_CODE_OUT_OF_MEMORY;
}
*compare = false;
}
break;
default:
*compare = false;
return TSDB_CODE_INVALID_CFG;
}
*compare = true;
return TSDB_CODE_SUCCESS;
}
int32_t compareSConfigItemArrays(SMnode *pMnode, const SArray *dArray, SArray *diffArray) {
int32_t code = 0;
int32_t dsz = taosArrayGetSize(dArray);
bool compare = false;
for (int i = 0; i < dsz; i++) {
SConfigItem *dItem = (SConfigItem *)taosArrayGet(dArray, i);
SConfigObj *mObj = sdbAcquire(pMnode->pSdb, SDB_CFG, dItem->name);
if (mObj == NULL) {
code = terrno;
mError("failed to acquire config:%s from sdb, since %s", dItem->name, tstrerror(code));
return code;
}
code = compareSConfigItem(mObj, dItem, &compare);
if (code != TSDB_CODE_SUCCESS) {
sdbRelease(pMnode->pSdb, mObj);
return code;
}
if (!compare) {
if (taosArrayPush(diffArray, dItem) == NULL) {
sdbRelease(pMnode->pSdb, mObj);
return terrno;
}
}
sdbRelease(pMnode->pSdb, mObj);
}
return code;
}

3
source/dnode/mnode/impl/src/mndDb.c
View File

@ -1705,9 +1705,6 @@ static int32_t mndDropDb(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb) {
TAOS_CHECK_GOTO(mndSetDropDbPrepareLogs(pMnode, pTrans, pDb), NULL, _OVER);
TAOS_CHECK_GOTO(mndSetDropDbCommitLogs(pMnode, pTrans, pDb), NULL, _OVER);
/*if (mndDropOffsetByDB(pMnode, pTrans, pDb) != 0) goto _OVER;*/
/*if (mndDropSubByDB(pMnode, pTrans, pDb) != 0) goto _OVER;*/
/*if (mndDropTopicByDB(pMnode, pTrans, pDb) != 0) goto _OVER;*/
TAOS_CHECK_GOTO(mndDropStreamByDb(pMnode, pTrans, pDb), NULL, _OVER);
#ifdef TD_ENTERPRISE
TAOS_CHECK_GOTO(mndDropViewByDb(pMnode, pTrans, pDb), NULL, _OVER);

1
source/dnode/mnode/impl/src/mndStream.c
View File

@ -2643,6 +2643,7 @@ int32_t mndProcessConsensusInTmr(SRpcMsg *pMsg) {
code = mndGetStreamObj(pMnode, pInfo->streamId, &pStream);
if (pStream == NULL || code != 0) { // stream has been dropped already
mDebug("stream:0x%" PRIx64 " dropped already, continue", pInfo->streamId);
void *p = taosArrayPush(pStreamList, &pInfo->streamId);
taosArrayDestroy(pList);
continue;
}

5
source/dnode/vnode/src/tq/tq.c
View File

@ -174,7 +174,10 @@ void tqNotifyClose(STQ* pTq) {
if (pTq == NULL) {
return;
}
streamMetaNotifyClose(pTq->pStreamMeta);
if (pTq->pStreamMeta != NULL) {
streamMetaNotifyClose(pTq->pStreamMeta);
}
}
void tqPushEmptyDataRsp(STqHandle* pHandle, int32_t vgId) {

2
source/dnode/vnode/src/tqCommon/tqCommon.c
View File

@ -960,9 +960,9 @@ int32_t tqStreamTaskProcessTaskResetReq(SStreamMeta* pMeta, char* pMsg) {
tqDebug("s-task:%s receive task-reset msg from mnode, reset status and ready for data processing", pTask->id.idStr);
streamMutexLock(&pTask->lock);
streamTaskClearCheckInfo(pTask, true);
streamTaskSetFailedCheckpointId(pTask, pReq->chkptId);
streamTaskClearCheckInfo(pTask, true);
// clear flag set during do checkpoint, and open inputQ for all upstream tasks
SStreamTaskState pState = streamTaskGetStatus(pTask);

4
source/dnode/vnode/src/tsdb/tsdbRead2.c
View File

@ -978,6 +978,10 @@ static int32_t loadFileBlockBrinInfo(STsdbReader* pReader, SArray* pIndexList, S
if (pRecord->firstKey.key.ts > w.ekey || pRecord->lastKey.key.ts < w.skey) {
continue;
}
// The data block's time range must intersect with the query time range
if (pRecord->firstKey.key.ts > pReader->info.window.ekey || pRecord->lastKey.key.ts < pReader->info.window.skey) {
continue;
}
if (asc) {
if (pkCompEx(&pRecord->lastKey.key, &pScanInfo->lastProcKey) <= 0) {

5
source/libs/catalog/inc/catalogInt.h
View File

@ -1119,7 +1119,7 @@ void ctgFreeBatch(SCtgBatch* pBatch);
void ctgFreeBatchs(SHashObj* pBatchs);
int32_t ctgCloneVgInfo(SDBVgInfo* src, SDBVgInfo** dst);
int32_t ctgCloneMetaOutput(STableMetaOutput* output, STableMetaOutput** pOutput);
int32_t ctgGenerateVgList(SCatalog* pCtg, SHashObj* vgHash, SArray** pList);
int32_t ctgGenerateVgList(SCatalog* pCtg, SHashObj* vgHash, SArray** pList, const char* dbFName);
void ctgFreeJob(void* job);
void ctgFreeHandleImpl(SCatalog* pCtg);
int32_t ctgGetVgInfoFromHashValue(SCatalog* pCtg, SEpSet* pMgmtEps, SDBVgInfo* dbInfo, const SName* pTableName,
@ -1159,7 +1159,8 @@ int32_t ctgGetTbHashVgroup(SCatalog* pCtg, SRequestConnInfo* pConn, const SName*
int32_t ctgGetFetchName(SArray* pNames, SCtgFetch* pFetch, SName** ppName);
int32_t ctgdGetOneHandle(SCatalog** pHandle);
int ctgVgInfoComp(const void* lp, const void* rp);
int32_t ctgMakeVgArray(SDBVgInfo* dbInfo);
int32_t ctgMakeVgArray(SDBVgInfo* dbInfo, const char* dbName, bool isFullName);
int32_t ctgMakeVgArraySortBy(SDBVgInfo* dbInfo, __compar_fn_t sort_func);
int32_t ctgChkSetAuthRes(SCatalog* pCtg, SCtgAuthReq* req, SCtgAuthRsp* res);
int32_t ctgReadDBCfgFromCache(SCatalog* pCtg, const char* dbFName, SDbCfgInfo* pDbCfg);

4
source/libs/catalog/src/catalog.c
View File

@ -505,7 +505,7 @@ int32_t ctgGetTbDistVgInfo(SCatalog* pCtg, SRequestConnInfo* pConn, SName* pTabl
}
if (tbMeta->tableType == TSDB_SUPER_TABLE) {
CTG_ERR_JRET(ctgGenerateVgList(pCtg, vgHash, pVgList));
CTG_ERR_JRET(ctgGenerateVgList(pCtg, vgHash, pVgList, db));
} else {
// USE HASH METHOD INSTEAD OF VGID IN TBMETA
ctgError("invalid method to get none stb vgInfo, tbType:%d", tbMeta->tableType);
@ -1029,7 +1029,7 @@ int32_t catalogGetDBVgList(SCatalog* pCtg, SRequestConnInfo* pConn, const char*
vgHash = vgInfo->vgHash;
}
CTG_ERR_JRET(ctgGenerateVgList(pCtg, vgHash, &vgList));
CTG_ERR_JRET(ctgGenerateVgList(pCtg, vgHash, &vgList, dbFName));
*vgroupList = vgList;
vgList = NULL;

6
source/libs/catalog/src/ctgAsync.c
View File

@ -1970,7 +1970,7 @@ static int32_t ctgHandleGetTbNamesRsp(SCtgTaskReq* tReq, int32_t reqType, const
switch (reqType) {
case TDMT_MND_USE_DB: {
SUseDbOutput* pOut = (SUseDbOutput*)pMsgCtx->out;
CTG_ERR_RET(ctgMakeVgArray(pOut->dbVgroup));
CTG_ERR_RET(ctgMakeVgArray(pOut->dbVgroup, pName->dbname, false));
SArray* pVgArray = NULL;
TSWAP(pVgArray, pOut->dbVgroup->vgArray);
int32_t vgSize = taosArrayGetSize(pVgArray);
@ -2142,7 +2142,7 @@ int32_t ctgHandleGetDbVgRsp(SCtgTaskReq* tReq, int32_t reqType, const SDataBuf*
SUseDbOutput* pOut = (SUseDbOutput*)pTask->msgCtx.out;
SDBVgInfo* pDb = NULL;
CTG_ERR_JRET(ctgGenerateVgList(pCtg, pOut->dbVgroup->vgHash, (SArray**)&pTask->res));
CTG_ERR_JRET(ctgGenerateVgList(pCtg, pOut->dbVgroup->vgHash, (SArray**)&pTask->res, ctx->dbFName));
CTG_ERR_JRET(cloneDbVgInfo(pOut->dbVgroup, &pDb));
CTG_ERR_JRET(ctgUpdateVgroupEnqueue(pCtg, ctx->dbFName, pOut->dbId, pDb, false));
@ -3175,7 +3175,7 @@ int32_t ctgLaunchGetDbVgTask(SCtgTask* pTask) {
CTG_ERR_JRET(ctgBuildUseDbOutput((SUseDbOutput**)&pMsgCtx->out, dbCache->vgCache.vgInfo));
}
CTG_ERR_JRET(ctgGenerateVgList(pCtg, dbCache->vgCache.vgInfo->vgHash, (SArray**)&pTask->res));
CTG_ERR_JRET(ctgGenerateVgList(pCtg, dbCache->vgCache.vgInfo->vgHash, (SArray**)&pTask->res, pCtx->dbFName));
ctgReleaseVgInfoToCache(pCtg, dbCache);
dbCache = NULL;

6
source/libs/catalog/src/ctgCache.c
View File

@ -1116,7 +1116,7 @@ int32_t ctgUpdateVgroupEnqueue(SCatalog *pCtg, const char *dbFName, int64_t dbId
dbFName = p + 1;
}
code = ctgMakeVgArray(dbInfo);
code = ctgMakeVgArray(dbInfo, dbFName, false);
if (code) {
taosMemoryFree(op);
taosMemoryFree(msg);
@ -2082,7 +2082,7 @@ void ctgFreeAllHandles(void) {
taosHashClear(gCtgMgmt.pCluster);
}
int32_t ctgVgInfoIdComp(void const *lp, void const *rp) {
int32_t ctgVgInfoIdCompId(void const *lp, void const *rp) {
int32_t *key = (int32_t *)lp;
SVgroupInfo *pVg = (SVgroupInfo *)rp;
@ -2695,7 +2695,7 @@ int32_t ctgOpUpdateEpset(SCtgCacheOperation *operation) {
goto _return;
}
SVgroupInfo *pInfo2 = taosArraySearch(vgInfo->vgArray, &msg->vgId, ctgVgInfoIdComp, TD_EQ);
SVgroupInfo *pInfo2 = taosArraySearch(vgInfo->vgArray, &msg->vgId, ctgVgInfoIdCompId, TD_EQ);
if (NULL == pInfo2) {
ctgDebug("no vgroup %d in db %s vgArray, ignore epset update", msg->vgId, msg->dbFName);
goto _return;

50
source/libs/catalog/src/ctgUtil.c
View File

@ -1147,12 +1147,28 @@ int32_t ctgGetHashFunction(int8_t hashMethod, tableNameHashFp* fp) {
return TSDB_CODE_SUCCESS;
}
int32_t ctgGenerateVgList(SCatalog* pCtg, SHashObj* vgHash, SArray** pList) {
int32_t ctgVgInfoIdComp(void const *lp, void const *rp) {
SVgroupInfo* pVg1 = (SVgroupInfo*)lp;
SVgroupInfo* pVg2 = (SVgroupInfo*)rp;
if (pVg1->vgId < pVg2->vgId) {
return -1;
} else if (pVg1->vgId > pVg2->vgId) {
return 1;
}
return 0;
}
int32_t ctgGenerateVgList(SCatalog* pCtg, SHashObj* vgHash, SArray** pList, const char* dbFName) {
SHashObj* vgroupHash = NULL;
SVgroupInfo* vgInfo = NULL;
SArray* vgList = NULL;
int32_t code = 0;
int32_t vgNum = taosHashGetSize(vgHash);
SName name = {0};
code = tNameFromString(&name, dbFName, T_NAME_ACCT | T_NAME_DB);
CTG_ERR_RET(code);
vgList = taosArrayInit(vgNum, sizeof(SVgroupInfo));
if (NULL == vgList) {
@ -1173,7 +1189,10 @@ int32_t ctgGenerateVgList(SCatalog* pCtg, SHashObj* vgHash, SArray** pList) {
pIter = taosHashIterate(vgHash, pIter);
}
taosArraySort(vgList, ctgVgInfoComp);
if (IS_SYS_DBNAME(name.dbname))
taosArraySort(vgList, ctgVgInfoIdComp);
else
taosArraySort(vgList, ctgVgInfoComp);
*pList = vgList;
@ -1218,7 +1237,7 @@ int32_t ctgHashValueComp(void const* lp, void const* rp) {
int32_t ctgGetVgInfoFromHashValue(SCatalog* pCtg, SEpSet* pMgmtEps, SDBVgInfo* dbInfo, const SName* pTableName,
SVgroupInfo* pVgroup) {
int32_t code = 0;
CTG_ERR_RET(ctgMakeVgArray(dbInfo));
CTG_ERR_RET(ctgMakeVgArray(dbInfo, pTableName->dbname, false));
int32_t vgNum = taosArrayGetSize(dbInfo->vgArray);
char db[TSDB_DB_FNAME_LEN] = {0};
@ -1288,7 +1307,7 @@ int32_t ctgGetVgInfosFromHashValue(SCatalog* pCtg, SEpSet* pMgmgEpSet, SCtgTaskR
SMetaRes res = {0};
SVgroupInfo* vgInfo = NULL;
CTG_ERR_RET(ctgMakeVgArray(dbInfo));
CTG_ERR_RET(ctgMakeVgArray(dbInfo, dbFName, true));
int32_t tbNum = taosArrayGetSize(pNames);
@ -1450,7 +1469,7 @@ int32_t ctgGetVgInfosFromHashValue(SCatalog* pCtg, SEpSet* pMgmgEpSet, SCtgTaskR
int32_t ctgGetVgIdsFromHashValue(SCatalog* pCtg, SDBVgInfo* dbInfo, char* dbFName, const char* pTbs[], int32_t tbNum,
int32_t* vgId) {
int32_t code = 0;
CTG_ERR_RET(ctgMakeVgArray(dbInfo));
CTG_ERR_RET(ctgMakeVgArray(dbInfo, dbFName, true));
int32_t vgNum = taosArrayGetSize(dbInfo->vgArray);
if (vgNum <= 0) {
@ -1563,7 +1582,22 @@ int32_t ctgTSMAVersionSortCompare(const void* key1, const void* key2) {
}
}
int32_t ctgMakeVgArray(SDBVgInfo* dbInfo) {
int32_t ctgMakeVgArray(SDBVgInfo* dbInfo, const char* dbName, bool isFullName) {
__compar_fn_t sortFunc = ctgVgInfoComp;
if (dbName) {
const char* realDbName = dbName;
SName name = {0};
if (isFullName) {
int32_t code = tNameFromString(&name, dbName, T_NAME_ACCT | T_NAME_DB);
CTG_ERR_RET(code);
realDbName = name.dbname;
}
if (IS_SYS_DBNAME(realDbName)) sortFunc = ctgVgInfoIdComp;
}
return ctgMakeVgArraySortBy(dbInfo, sortFunc);
}
int32_t ctgMakeVgArraySortBy(SDBVgInfo* dbInfo, __compar_fn_t sort_func) {
if (NULL == dbInfo) {
return TSDB_CODE_SUCCESS;
}
@ -1585,14 +1619,14 @@ int32_t ctgMakeVgArray(SDBVgInfo* dbInfo) {
pIter = taosHashIterate(dbInfo->vgHash, pIter);
}
taosArraySort(dbInfo->vgArray, ctgVgInfoComp);
taosArraySort(dbInfo->vgArray, sort_func);
}
return TSDB_CODE_SUCCESS;
}
int32_t ctgCloneVgInfo(SDBVgInfo* src, SDBVgInfo** dst) {
CTG_ERR_RET(ctgMakeVgArray(src));
CTG_ERR_RET(ctgMakeVgArray(src, NULL, false));
*dst = taosMemoryMalloc(sizeof(SDBVgInfo));
if (NULL == *dst) {

2
source/libs/command/src/command.c
View File

@ -434,7 +434,7 @@ static int32_t setCreateDBResultIntoDataBlock(SSDataBlock* pBlock, char* dbName,
"PRECISION '%s' REPLICA %d "
"WAL_LEVEL %d VGROUPS %d SINGLE_STABLE %d TABLE_PREFIX %d TABLE_SUFFIX %d TSDB_PAGESIZE %d "
"WAL_RETENTION_PERIOD %d WAL_RETENTION_SIZE %" PRId64
" KEEP_TIME_OFFSET %dh ENCRYPT_ALGORITHM '%s' S3_CHUNKPAGES %d S3_KEEPLOCAL %dm S3_COMPACT %d "
" KEEP_TIME_OFFSET %d ENCRYPT_ALGORITHM '%s' S3_CHUNKPAGES %d S3_KEEPLOCAL %dm S3_COMPACT %d "
"COMPACT_INTERVAL %s COMPACT_TIME_RANGE %s,%s COMPACT_TIME_OFFSET %"PRIi8 "h",
dbName, pCfg->buffer, pCfg->cacheSize, cacheModelStr(pCfg->cacheLast), pCfg->compression, durationStr,
pCfg->walFsyncPeriod, pCfg->maxRows, pCfg->minRows, pCfg->sstTrigger, keep0Str, keep1Str, keep2Str,

2
source/libs/function/src/tudf.c
View File

@ -2219,7 +2219,7 @@ int32_t callUdf(UdfcFuncHandle handle, int8_t callType, SSDataBlock *input, SUdf
break;
}
}
};
}
taosMemoryFree(task);
return code;
}

1
source/libs/nodes/src/nodesUtilFuncs.c
View File

@ -1167,6 +1167,7 @@ void nodesDestroyNode(SNode* pNode) {
nodesDestroyNode((SNode*)pOptions->pCompactIntervalNode);
nodesDestroyList(pOptions->pCompactTimeRangeList);
nodesDestroyNode((SNode*)pOptions->pCompactTimeOffsetNode);
nodesDestroyNode((SNode*)pOptions->pKeepTimeOffsetNode);
break;
}
case QUERY_NODE_TABLE_OPTIONS: {

2
source/libs/parser/inc/sql.y
View File

@ -286,6 +286,7 @@ db_options(A) ::= db_options(B) S3_KEEPLOCAL NK_INTEGER(C).
db_options(A) ::= db_options(B) S3_KEEPLOCAL NK_VARIABLE(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_S3_KEEPLOCAL, &C); }
db_options(A) ::= db_options(B) S3_COMPACT NK_INTEGER(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_S3_COMPACT, &C); }
db_options(A) ::= db_options(B) KEEP_TIME_OFFSET NK_INTEGER(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_KEEP_TIME_OFFSET, &C); }
db_options(A) ::= db_options(B) KEEP_TIME_OFFSET NK_VARIABLE(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_KEEP_TIME_OFFSET, &C); }
db_options(A) ::= db_options(B) ENCRYPT_ALGORITHM NK_STRING(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_ENCRYPT_ALGORITHM, &C); }
db_options(A) ::= db_options(B) DNODES NK_STRING(C). { A = setDatabaseOption(pCxt, B, DB_OPTION_DNODES, &C); }
db_options(A) ::= db_options(B) COMPACT_INTERVAL NK_INTEGER (C). { A = setDatabaseOption(pCxt, B, DB_OPTION_COMPACT_INTERVAL, &C); }
@ -327,6 +328,7 @@ alter_db_option(A) ::= S3_KEEPLOCAL NK_INTEGER(B).
alter_db_option(A) ::= S3_KEEPLOCAL NK_VARIABLE(B). { A.type = DB_OPTION_S3_KEEPLOCAL; A.val = B; }
alter_db_option(A) ::= S3_COMPACT NK_INTEGER(B). { A.type = DB_OPTION_S3_COMPACT, A.val = B; }
alter_db_option(A) ::= KEEP_TIME_OFFSET NK_INTEGER(B). { A.type = DB_OPTION_KEEP_TIME_OFFSET; A.val = B; }
alter_db_option(A) ::= KEEP_TIME_OFFSET NK_VARIABLE(B). { A.type = DB_OPTION_KEEP_TIME_OFFSET; A.val = B; }
alter_db_option(A) ::= ENCRYPT_ALGORITHM NK_STRING(B). { A.type = DB_OPTION_ENCRYPT_ALGORITHM; A.val = B; }
alter_db_option(A) ::= COMPACT_INTERVAL NK_INTEGER(B). { A.type = DB_OPTION_COMPACT_INTERVAL; A.val = B; }
alter_db_option(A) ::= COMPACT_INTERVAL NK_VARIABLE(B). { A.type = DB_OPTION_COMPACT_INTERVAL; A.val = B; }

6
source/libs/parser/src/parAstCreater.c
View File

@ -2023,7 +2023,11 @@ static SNode* setDatabaseOptionImpl(SAstCreateContext* pCxt, SNode* pOptions, ED
pDbOptions->s3Compact = taosStr2Int8(((SToken*)pVal)->z, NULL, 10);
break;
case DB_OPTION_KEEP_TIME_OFFSET:
pDbOptions->keepTimeOffset = taosStr2Int32(((SToken*)pVal)->z, NULL, 10);
if (TK_NK_INTEGER == ((SToken*)pVal)->type) {
pDbOptions->keepTimeOffset = taosStr2Int32(((SToken*)pVal)->z, NULL, 10);
} else {
pDbOptions->pKeepTimeOffsetNode = (SValueNode*)createDurationValueNode(pCxt, (SToken*)pVal);
}
break;
case DB_OPTION_ENCRYPT_ALGORITHM:
COPY_STRING_FORM_STR_TOKEN(pDbOptions->encryptAlgorithmStr, (SToken*)pVal);

11
source/libs/parser/src/parTranslater.c
View File

@ -7929,6 +7929,17 @@ static int32_t checkDbKeepOption(STranslateContext* pCxt, SDatabaseOptions* pOpt
}
static int32_t checkDbKeepTimeOffsetOption(STranslateContext* pCxt, SDatabaseOptions* pOptions) {
if (pOptions->pKeepTimeOffsetNode) {
if (DEAL_RES_ERROR == translateValue(pCxt, pOptions->pKeepTimeOffsetNode)) {
return pCxt->errCode;
}
if (TIME_UNIT_HOUR != pOptions->pKeepTimeOffsetNode->unit) {
return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_INVALID_DB_OPTION,
"Invalid option keep_time_offset unit: %c, only %c allowed",
pOptions->pKeepTimeOffsetNode->unit, TIME_UNIT_HOUR);
}
pOptions->keepTimeOffset = getBigintFromValueNode(pOptions->pKeepTimeOffsetNode) / 60;
}
if (pOptions->keepTimeOffset < TSDB_MIN_KEEP_TIME_OFFSET || pOptions->keepTimeOffset > TSDB_MAX_KEEP_TIME_OFFSET) {
return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_INVALID_DB_OPTION,
"Invalid option keep_time_offset: %d"

19
source/libs/planner/src/planOptimizer.c
View File

@ -635,7 +635,9 @@ static EDealRes pdcJoinIsCrossTableCond(SNode* pNode, void* pContext) {
if (QUERY_NODE_COLUMN == nodeType(pNode)) {
if (pdcJoinColInTableList(pNode, pCxt->pLeftTbls)) {
pCxt->havaLeftCol = true;
} else if (pdcJoinColInTableList(pNode, pCxt->pRightTbls)) {
}
if (pdcJoinColInTableList(pNode, pCxt->pRightTbls)) {
pCxt->haveRightCol = true;
}
return pCxt->havaLeftCol && pCxt->haveRightCol ? DEAL_RES_END : DEAL_RES_CONTINUE;
@ -2809,10 +2811,17 @@ static bool joinCondMayBeOptimized(SLogicNode* pNode, void* pCtx) {
return false;
}
if (pJoin->pPrimKeyEqCond && QUERY_NODE_OPERATOR == nodeType(pJoin->pPrimKeyEqCond)) {
SOperatorNode* pOp = (SOperatorNode*)pJoin->pPrimKeyEqCond;
if ((pOp->pLeft && QUERY_NODE_COLUMN != nodeType(pOp->pLeft)) || (pOp->pRight && QUERY_NODE_COLUMN != nodeType(pOp->pRight))) {
return false;
}
}
return true;
}
static void joinCondMergeScanRand(STimeWindow* pDst, STimeWindow* pSrc) {
static void joinCondMergeScanRange(STimeWindow* pDst, STimeWindow* pSrc) {
if (pSrc->skey > pDst->skey) {
pDst->skey = pSrc->skey;
}
@ -2840,7 +2849,7 @@ static int32_t joinCondOptimize(SOptimizeContext* pCxt, SLogicSubplan* pLogicSub
}
SNode* pNode = NULL;
STimeWindow scanRange = TSWINDOW_INITIALIZER;
FOREACH(pNode, pScanList) { joinCondMergeScanRand(&scanRange, &((SScanLogicNode*)pNode)->scanRange); }
FOREACH(pNode, pScanList) { joinCondMergeScanRange(&scanRange, &((SScanLogicNode*)pNode)->scanRange); }
FOREACH(pNode, pScanList) {
((SScanLogicNode*)pNode)->scanRange.skey = scanRange.skey;
((SScanLogicNode*)pNode)->scanRange.ekey = scanRange.ekey;
@ -2857,7 +2866,7 @@ static int32_t joinCondOptimize(SOptimizeContext* pCxt, SLogicSubplan* pLogicSub
if (NULL == pLScan || NULL == pRScan) {
return TSDB_CODE_SUCCESS;
}
joinCondMergeScanRand(&pRScan->scanRange, &pLScan->scanRange);
joinCondMergeScanRange(&pRScan->scanRange, &pLScan->scanRange);
break;
}
case JOIN_TYPE_RIGHT: {
@ -2869,7 +2878,7 @@ static int32_t joinCondOptimize(SOptimizeContext* pCxt, SLogicSubplan* pLogicSub
if (NULL == pLScan || NULL == pRScan) {
return TSDB_CODE_SUCCESS;
}
joinCondMergeScanRand(&pLScan->scanRange, &pRScan->scanRange);
joinCondMergeScanRange(&pLScan->scanRange, &pRScan->scanRange);
break;
}
default:

6
source/libs/planner/src/planSpliter.c
View File

@ -768,7 +768,7 @@ static int32_t stbSplSplitIntervalForBatch(SSplitContext* pCxt, SStableSplitInfo
SLogicSubplan* pSubplan = (SLogicSubplan*)pNode;
pSubplan->id.groupId = pCxt->groupId;
pSubplan->id.queryId = pCxt->queryId;
pSubplan->splitFlag = SPLIT_FLAG_STABLE_SPLIT;
//pSubplan->splitFlag = SPLIT_FLAG_STABLE_SPLIT;
splSetSubplanVgroups(pSubplan, pSubplan->pNode);
code = stbSplCreatePartWindowNode((SWindowLogicNode*)pSubplan->pNode, &pPartWindow);
if (TSDB_CODE_SUCCESS == code) {
@ -892,7 +892,7 @@ static int32_t stbSplSplitSessionOrStateForBatch(SSplitContext* pCxt, SStableSpl
if (TSDB_CODE_SUCCESS == code) {
stbSplSetTableMergeScan(pChild);
pInfo->pSubplan->subplanType = SUBPLAN_TYPE_MERGE;
SPLIT_FLAG_SET_MASK(pInfo->pSubplan->splitFlag, SPLIT_FLAG_STABLE_SPLIT);
//SPLIT_FLAG_SET_MASK(pInfo->pSubplan->splitFlag, SPLIT_FLAG_STABLE_SPLIT);
++(pCxt->groupId);
} else {
nodesDestroyList(pMergeKeys);
@ -1201,7 +1201,7 @@ static int32_t stbSplSplitAggNodeForCrossTableMulSubplan(SSplitContext* pCxt, SS
SLogicSubplan* pSubplan = (SLogicSubplan*)pNode;
pSubplan->id.groupId = pCxt->groupId;
pSubplan->id.queryId = pCxt->queryId;
pSubplan->splitFlag = SPLIT_FLAG_STABLE_SPLIT;
//pSubplan->splitFlag = SPLIT_FLAG_STABLE_SPLIT;
splSetSubplanVgroups(pSubplan, pSubplan->pNode);
code = stbSplCreatePartAggNode((SAggLogicNode*)pSubplan->pNode, &pPartAgg);
if (code) break;

4
source/libs/stream/src/streamExec.c
View File

@ -464,8 +464,8 @@ int32_t streamTransferStateDoPrepare(SStreamTask* pTask) {
// 2. send msg to mnode to launch a checkpoint to keep the state for current stream
code = streamTaskSendCheckpointReq(pStreamTask);
// 3. assign the status to the value that will be kept in disk
pStreamTask->status.taskStatus = streamTaskGetStatus(pStreamTask).state;
// 3. the default task status should be ready or something, not halt.
// status to the value that will be kept in disk
// 4. open the inputQ for all upstream tasks
streamTaskOpenAllUpstreamInput(pStreamTask);

7
source/os/src/osTimezone.c
View File

@ -872,6 +872,13 @@ END:
}
#endif
void truncateTimezoneString(char *tz) {
char *spacePos = strchr(tz, ' ');
if (spacePos != NULL) {
*spacePos = '\0';
}
}
int32_t taosGetSystemTimezone(char *outTimezoneStr) {
#ifdef WINDOWS
char value[100] = {0};

20
source/util/src/tconfig.c
View File

@ -97,6 +97,7 @@ int32_t cfgLoadFromArray(SConfig *pCfg, SArray *pArgs) {
}
int32_t cfgUpdateFromArray(SConfig *pCfg, SArray *pArgs) {
int32_t code = TSDB_CODE_SUCCESS;
int32_t size = taosArrayGetSize(pArgs);
for (int32_t i = 0; i < size; ++i) {
SConfigItem *pItemNew = taosArrayGet(pArgs, i);
@ -124,9 +125,6 @@ int32_t cfgUpdateFromArray(SConfig *pCfg, SArray *pArgs) {
break;
case CFG_DTYPE_STRING:
case CFG_DTYPE_DIR:
case CFG_DTYPE_LOCALE:
case CFG_DTYPE_CHARSET:
case CFG_DTYPE_TIMEZONE:
taosMemoryFree(pItemOld->str);
pItemOld->str = taosStrdup(pItemNew->str);
if (pItemOld->str == NULL) {
@ -134,6 +132,22 @@ int32_t cfgUpdateFromArray(SConfig *pCfg, SArray *pArgs) {
TAOS_RETURN(terrno);
}
break;
case CFG_DTYPE_LOCALE:
case CFG_DTYPE_CHARSET:
code = cfgSetItemVal(pItemOld, pItemNew->name, pItemNew->str, pItemNew->stype);
if (code != TSDB_CODE_SUCCESS) {
(void)taosThreadMutexUnlock(&pCfg->lock);
TAOS_RETURN(code);
}
break;
case CFG_DTYPE_TIMEZONE:
truncateTimezoneString(pItemNew->str);
code = cfgSetItemVal(pItemOld, pItemNew->name, pItemNew->str, pItemNew->stype);
if (code != TSDB_CODE_SUCCESS) {
(void)taosThreadMutexUnlock(&pCfg->lock);
TAOS_RETURN(code);
}
break;
default:
break;
}

4
source/util/src/ttimer.c
View File

@ -138,7 +138,9 @@ static uintptr_t getNextTimerId() {
return id;
}
static void timerAddRef(tmr_obj_t* timer) { (void)atomic_add_fetch_8(&timer->refCount, 1); }
static void timerAddRef(tmr_obj_t* timer) {
(void)atomic_add_fetch_8(&timer->refCount, 1);
}
static void timerDecRef(tmr_obj_t* timer) {
if (atomic_sub_fetch_8(&timer->refCount, 1) == 0) {

8
tests/army/alter/alterConfig.py
View File

@ -176,7 +176,12 @@ class TDTestCase(TBase):
def alter_err_case(self):
tdSql.error(f"alter local 'audit 0'",expectErrInfo="Config not found")
tdSql.error(f"alter dnode 1 'audit 1'",expectErrInfo="Invalid config option")
def alter_dnode_1_case(self):
tdSql.execute("alter dnode 1 'numOfRpcThreads' '5'")
tdSql.execute("alter dnode 1 'rpcQueueMemoryAllowed' '15242880'")
tdSql.execute("alter dnode 1 'syncLogBufferMemoryAllowed' '115728640'")
# run
def run(self):
tdLog.debug(f"start to excute {__file__}")
@ -191,6 +196,7 @@ class TDTestCase(TBase):
self.alterBypassFlag()
# TS-5007
self.alter_err_case()
self.alter_dnode_1_case()
tdLog.success(f"{__file__} successfully executed")

26
tests/army/query/function/ans/ascii.csv
View File

@ -27,12 +27,12 @@ taos> select ASCII('北京涛思数据科技有限公司')
taos> select ASCII('hello') + 1
ascii('hello') + 1 |
============================
105.000000000000000 |
105 |
taos> select ASCII('hello') - 1
ascii('hello') - 1 |
============================
103.000000000000000 |
103 |
taos> select ASCII('hello') from ts_4893.meters limit 5
ascii('hello') |
@ -46,7 +46,7 @@ taos> select ASCII('hello') from ts_4893.meters limit 5
taos> select ASCII('hello') + 1 from ts_4893.meters limit 1
ascii('hello') + 1 |
============================
105.000000000000000 |
105 |
taos> select ASCII('hello') + ASCII('hello') from ts_4893.meters limit 1
ascii('hello') + ascii('hello') |
@ -92,20 +92,20 @@ taos> select ASCII(cast(nch1 as varchar)) from ts_4893.meters order by ts limit
taos> select pow(ASCII(nch1), 2) from ts_4893.meters order by ts limit 5
pow(ascii(nch1), 2) |
============================
12100.000000000000000 |
51984.000000000000000 |
13689.000000000000000 |
12544.000000000000000 |
12100.000000000000000 |
12100 |
51984 |
13689 |
12544 |
12100 |
taos> select sqrt(ASCII(nch1)) from ts_4893.meters order by ts limit 5
sqrt(ascii(nch1)) |
============================
10.488088481701515 |
15.099668870541500 |
10.816653826391969 |
10.583005244258363 |
10.488088481701515 |
10.4880884817015 |
15.0996688705415 |
10.816653826392 |
10.5830052442584 |
10.4880884817015 |
taos> select cast(ASCII(nch1) as int) from ts_4893.meters order by ts limit 5
cast(ascii(nch1) as int) |

Can't render this file because it has a wrong number of fields in line 17.

28
tests/army/query/function/ans/char_length.csv
View File

@ -27,12 +27,12 @@ taos> select CHAR_LENGTH('北京涛思数据科技有限公司')
taos> select CHAR_LENGTH('hello') + 1
char_length('hello') + 1 |
============================
6.000000000000000 |
6 |
taos> select CHAR_LENGTH('hello') - 1
char_length('hello') - 1 |
============================
4.000000000000000 |
4 |
taos> select CHAR_LENGTH('hello') from ts_4893.meters limit 5
char_length('hello') |
@ -46,7 +46,7 @@ taos> select CHAR_LENGTH('hello') from ts_4893.meters limit 5
taos> select CHAR_LENGTH('hello') + 1 from ts_4893.meters limit 1
char_length('hello') + 1 |
============================
6.000000000000000 |
6 |
taos> select CHAR_LENGTH('hello') + CHAR_LENGTH('hello') from ts_4893.meters limit 1
char_length('hello') + char_length('hello') |
@ -92,20 +92,20 @@ taos> select CHAR_LENGTH(cast(nch1 as varchar)) from ts_4893.meters order by ts
taos> select pow(CHAR_LENGTH(nch1), 2) from ts_4893.meters order by ts limit 5
pow(char_length(nch1), 2) |
============================
25.000000000000000 |
100.000000000000000 |
36.000000000000000 |
49.000000000000000 |
25.000000000000000 |
25 |
100 |
36 |
49 |
25 |
taos> select sqrt(CHAR_LENGTH(nch1)) from ts_4893.meters order by ts limit 5
sqrt(char_length(nch1)) |
============================
2.236067977499790 |
3.162277660168380 |
2.449489742783178 |
2.645751311064591 |
2.236067977499790 |
2.23606797749979 |
3.16227766016838 |
2.44948974278318 |
2.64575131106459 |
2.23606797749979 |
taos> select cast(CHAR_LENGTH(nch1) as int) from ts_4893.meters order by ts limit 5
cast(char_length(nch1) as int) |
@ -255,5 +255,5 @@ taos> select groupid, max(char_length(name)) from ts_4893.meters group by groupi
taos> select location, avg(char_length(name)) from ts_4893.meters group by location order by location
location | avg(char_length(name)) |
=================================================
beijing | 3.244600000000000 |
beijing | 3.2446 |

Can't render this file because it has a wrong number of fields in line 17.

158
tests/army/query/function/ans/degrees.csv
View File

@ -2,149 +2,149 @@
taos> select DEGREES(0)
degrees(0) |
============================
0.000000000000000 |
0 |
taos> select DEGREES(1)
degrees(1) |
============================
57.295779513082323 |
57.2957795130823 |
taos> select DEGREES(1.5)
degrees(1.5) |
============================
85.943669269623484 |
85.9436692696235 |
taos> select DEGREES(100)
degrees(100) |
============================
5729.577951308232514 |
5729.57795130823 |
taos> select DEGREES(-1)
degrees(-1) |
============================
-57.295779513082323 |
-57.2957795130823 |
taos> select DEGREES(-1.5)
degrees(-1.5) |
============================
-85.943669269623484 |
-85.9436692696235 |
taos> select DEGREES(-100)
degrees(-100) |
============================
-5729.577951308232514 |
-5729.57795130823 |
taos> select DEGREES(1) + 1
degrees(1) + 1 |
============================
58.295779513082323 |
58.2957795130823 |
taos> select DEGREES(1) - 1
degrees(1) - 1 |
============================
56.295779513082323 |
56.2957795130823 |
taos> select DEGREES(1) * 1
degrees(1) * 1 |
============================
57.295779513082323 |
57.2957795130823 |
taos> select DEGREES(1) / 1
degrees(1) / 1 |
============================
57.295779513082323 |
57.2957795130823 |
taos> select DEGREES(1) from ts_4893.meters limit 5
degrees(1) |
============================
57.295779513082323 |
57.295779513082323 |
57.295779513082323 |
57.295779513082323 |
57.295779513082323 |
57.2957795130823 |
57.2957795130823 |
57.2957795130823 |
57.2957795130823 |
57.2957795130823 |
taos> select DEGREES(1) + 1 from ts_4893.meters limit 1
degrees(1) + 1 |
============================
58.295779513082323 |
58.2957795130823 |
taos> select DEGREES(1) - 1 from ts_4893.meters limit 1
degrees(1) - 1 |
============================
56.295779513082323 |
56.2957795130823 |
taos> select DEGREES(1) * 2 from ts_4893.meters limit 1
degrees(1) * 2 |
============================
114.591559026164646 |
114.591559026165 |
taos> select DEGREES(1) / 2 from ts_4893.meters limit 1
degrees(1) / 2 |
============================
28.647889756541161 |
28.6478897565412 |
taos> select DEGREES(2) + DEGREES(1) from ts_4893.meters limit 1
degrees(2) + degrees(1) |
============================
171.887338539246969 |
171.887338539247 |
taos> select DEGREES(2) - DEGREES(1) from ts_4893.meters limit 1
degrees(2) - degrees(1) |
============================
57.295779513082323 |
57.2957795130823 |
taos> select DEGREES(2) * DEGREES(1) from ts_4893.meters limit 1
degrees(2) * degrees(1) |
============================
6565.612700023488287 |
6565.61270002349 |
taos> select DEGREES(2) / DEGREES(1) from ts_4893.meters limit 1
degrees(2) / degrees(1) |
============================
2.000000000000000 |
2 |
taos> select DEGREES(1) + id from ts_4893.meters order by ts limit 5
degrees(1) + id |
============================
57.295779513082323 |
58.295779513082323 |
59.295779513082323 |
60.295779513082323 |
61.295779513082323 |
57.2957795130823 |
58.2957795130823 |
59.2957795130823 |
60.2957795130823 |
61.2957795130823 |
taos> select DEGREES(id) + id from ts_4893.meters order by ts limit 5
degrees(id) + id |
============================
0.000000000000000 |
58.295779513082323 |
116.591559026164646 |
174.887338539246969 |
233.183118052329291 |
0 |
58.2957795130823 |
116.591559026165 |
174.887338539247 |
233.183118052329 |
taos> select DEGREES(abs(10))
degrees(abs(10)) |
============================
572.957795130823229 |
572.957795130823 |
taos> select DEGREES(PI())
degrees(pi()) |
============================
180.000000000000000 |
180 |
taos> select abs(DEGREES(10))
abs(degrees(10)) |
============================
572.957795130823229 |
572.957795130823 |
taos> select pow(DEGREES(10), 2)
pow(degrees(10), 2) |
============================
328280.635001174407080 |
328280.635001174 |
taos> select sqrt(DEGREES(10))
sqrt(degrees(10)) |
============================
23.936536824085962 |
23.936536824086 |
taos> select cast(DEGREES(10) as int)
cast(degrees(10) as int) |
@ -154,44 +154,44 @@ taos> select cast(DEGREES(10) as int)
taos> select DEGREES(sqrt(id)) from ts_4893.meters order by ts limit 5
degrees(sqrt(id)) |
============================
0.000000000000000 |
57.295779513082323 |
81.028468454139556 |
99.239201175922574 |
114.591559026164646 |
0 |
57.2957795130823 |
81.0284684541396 |
99.2392011759226 |
114.591559026165 |
taos> select degrees(pi())
degrees(pi()) |
============================
180.000000000000000 |
180 |
taos> select degrees(current) from ts_4893.d0 order by ts limit 10
degrees(current) |
============================
610.200029957721426 |
491.254034090376820 |
561.212164701962479 |
643.603479905018958 |
613.408634263739941 |
487.472513516777667 |
549.810284033650078 |
628.076328902558998 |
643.202411196955836 |
592.266466706882511 |
610.200029957721 |
491.254034090377 |
561.212164701962 |
643.603479905019 |
613.40863426374 |
487.472513516778 |
549.81028403365 |
628.076328902559 |
643.202411196956 |
592.266466706883 |
taos> select degrees(current) from ts_4893.meters order by ts limit 10
degrees(current) |
============================
610.200029957721426 |
491.254034090376820 |
561.212164701962479 |
643.603479905018958 |
613.408634263739941 |
487.472513516777667 |
549.810284033650078 |
628.076328902558998 |
643.202411196955836 |
592.266466706882511 |
610.200029957721 |
491.254034090377 |
561.212164701962 |
643.603479905019 |
613.40863426374 |
487.472513516778 |
549.81028403365 |
628.076328902559 |
643.202411196956 |
592.266466706883 |
taos> select degrees(null)
degrees(null) |
@ -201,70 +201,70 @@ taos> select degrees(null)
taos> select degrees(-5)
degrees(-5) |
============================
-286.478897565411614 |
-286.478897565412 |
taos> select degrees(3.14)
degrees(3.14) |
============================
179.908747671078515 |
179.908747671079 |
taos> select degrees(2*pi())
degrees(2*pi()) |
============================
360.000000000000000 |
360 |
taos> select degrees(pi()/2)
degrees(pi()/2) |
============================
90.000000000000000 |
90 |
taos> select degrees(-pi()/2)
degrees(-pi()/2) |
============================
-90.000000000000000 |
-90 |
taos> select degrees(1000000)
degrees(1000000) |
============================
57295779.513082325458527 |
57295779.5130823 |
taos> select degrees(sin(1))
degrees(sin(1)) |
============================
48.212736012209490 |
48.2127360122095 |
taos> select degrees(cos(1))
degrees(cos(1)) |
============================
30.957041787430903 |
30.9570417874309 |
taos> select degrees(tan(1))
degrees(tan(1)) |
============================
89.232889603798512 |
89.2328896037985 |
taos> select degrees(radians(90))
degrees(radians(90)) |
============================
90.000000000000000 |
90 |
taos> select degrees(atan(1))
degrees(atan(1)) |
============================
45.000000000000000 |
45 |
taos> select degrees(phase) from ts_4893.meters limit 1
degrees(phase) |
============================
29.157708736569255 |
29.1577087365693 |
taos> select degrees(current) from ts_4893.meters limit 1
degrees(current) |
============================
610.200029957721426 |
610.200029957721 |
taos> select degrees(voltage) from ts_4893.meters limit 1
degrees(voltage) |
============================
12662.367272391193183 |
12662.3672723912 |

Can't render this file because it has a wrong number of fields in line 139.

150
tests/army/query/function/ans/exp.csv
View File

@ -2,22 +2,22 @@
taos> select EXP(0)
exp(0) |
============================
1.000000000000000 |
1 |
taos> select EXP(1)
exp(1) |
============================
2.718281828459045 |
2.71828182845905 |
taos> select EXP(1.5)
exp(1.5) |
============================
4.481689070338065 |
4.48168907033806 |
taos> select EXP(100)
exp(100) |
============================
2.688117141816136e+43 |
2.68811714181614e+43 |
taos> select EXP(-1)
exp(-1) |
@ -27,114 +27,114 @@ taos> select EXP(-1)
taos> select EXP(-1.5)
exp(-1.5) |
============================
0.223130160148430 |
0.22313016014843 |
taos> select EXP(-100)
exp(-100) |
============================
0.000000000000000 |
3.72007597602084e-44 |
taos> select EXP(1) + 1
exp(1) + 1 |
============================
3.718281828459045 |
3.71828182845905 |
taos> select EXP(1) - 1
exp(1) - 1 |
============================
1.718281828459045 |
1.71828182845905 |
taos> select EXP(1) * 1
exp(1) * 1 |
============================
2.718281828459045 |
2.71828182845905 |
taos> select EXP(1) / 1
exp(1) / 1 |
============================
2.718281828459045 |
2.71828182845905 |
taos> select exp(1) from ts_4893.meters limit 5
exp(1) |
============================
2.718281828459045 |
2.718281828459045 |
2.718281828459045 |
2.718281828459045 |
2.718281828459045 |
2.71828182845905 |
2.71828182845905 |
2.71828182845905 |
2.71828182845905 |
2.71828182845905 |
taos> select exp(1) + 1 from ts_4893.meters limit 1
exp(1) + 1 |
============================
3.718281828459045 |
3.71828182845905 |
taos> select exp(1) - 1 from ts_4893.meters limit 1
exp(1) - 1 |
============================
1.718281828459045 |
1.71828182845905 |
taos> select exp(1) * 2 from ts_4893.meters limit 1
exp(1) * 2 |
============================
5.436563656918090 |
5.43656365691809 |
taos> select exp(1) / 2 from ts_4893.meters limit 1
exp(1) / 2 |
============================
1.359140914229523 |
1.35914091422952 |
taos> select exp(2) + exp(1) from ts_4893.meters limit 1
exp(2) + exp(1) |
============================
10.107337927389695 |
10.1073379273897 |
taos> select exp(2) - exp(1) from ts_4893.meters limit 1
exp(2) - exp(1) |
============================
4.670774270471606 |
4.67077427047161 |
taos> select exp(2) * exp(1) from ts_4893.meters limit 1
exp(2) * exp(1) |
============================
20.085536923187668 |
20.0855369231877 |
taos> select exp(2) / exp(1) from ts_4893.meters limit 1
exp(2) / exp(1) |
============================
2.718281828459046 |
2.71828182845905 |
taos> select exp(1) + id from ts_4893.meters order by ts limit 5
exp(1) + id |
============================
2.718281828459045 |
3.718281828459045 |
4.718281828459045 |
5.718281828459045 |
6.718281828459045 |
2.71828182845905 |
3.71828182845905 |
4.71828182845904 |
5.71828182845904 |
6.71828182845904 |
taos> select exp(id) + id from ts_4893.meters order by ts limit 5
exp(id) + id |
============================
1.000000000000000 |
3.718281828459045 |
9.389056098930650 |
23.085536923187668 |
58.598150033144236 |
1 |
3.71828182845905 |
9.38905609893065 |
23.0855369231877 |
58.5981500331442 |
taos> select abs(EXP(10))
abs(exp(10)) |
============================
22026.465794806717895 |
22026.4657948067 |
taos> select pow(EXP(10), 2)
pow(exp(10), 2) |
============================
485165195.409790337085724 |
485165195.40979 |
taos> select sqrt(EXP(10))
sqrt(exp(10)) |
============================
148.413159102576600 |
148.413159102577 |
taos> select cast(EXP(10) as int)
cast(exp(10) as int) |
@ -144,54 +144,54 @@ taos> select cast(EXP(10) as int)
taos> select EXP(sqrt(id)) from ts_4893.meters order by ts limit 5
exp(sqrt(id)) |
============================
1.000000000000000 |
2.718281828459045 |
4.113250378782928 |
5.652233674034091 |
7.389056098930650 |
1 |
2.71828182845905 |
4.11325037878293 |
5.65223367403409 |
7.38905609893065 |
taos> select EXP(EXP(EXP(EXP(0))))
exp(exp(exp(exp(0)))) |
============================
3814279.104760214220732 |
3814279.10476021 |
taos> select exp(2)
exp(2) |
============================
7.389056098930650 |
7.38905609893065 |
taos> select exp(0.5)
exp(0.5) |
============================
1.648721270700128 |
1.64872127070013 |
taos> select exp(current) from ts_4893.d0 order by ts limit 10
exp(current) |
============================
42192.578453635847836 |
5292.258432380726845 |
17943.802618770550907 |
75583.992598717435612 |
44622.804904812772293 |
4954.246535954979663 |
14705.836248958077704 |
57641.604897186582093 |
75056.754435561466380 |
30853.327779395312973 |
42192.5784536358 |
5292.25843238073 |
17943.8026187706 |
75583.9925987174 |
44622.8049048128 |
4954.24653595498 |
14705.8362489581 |
57641.6048971866 |
75056.7544355615 |
30853.3277793953 |
taos> select exp(current) from ts_4893.meters order by ts limit 10
exp(current) |
============================
42192.578453635847836 |
5292.258432380726845 |
17943.802618770550907 |
75583.992598717435612 |
44622.804904812772293 |
4954.246535954979663 |
14705.836248958077704 |
57641.604897186582093 |
75056.754435561466380 |
30853.327779395312973 |
42192.5784536358 |
5292.25843238073 |
17943.8026187706 |
75583.9925987174 |
44622.8049048128 |
4954.24653595498 |
14705.8362489581 |
57641.6048971866 |
75056.7544355615 |
30853.3277793953 |
taos> select exp(null)
exp(null) |
@ -206,55 +206,55 @@ taos> select exp(100000)
taos> select exp(-1000)
exp(-1000) |
============================
0.000000000000000 |
0 |
taos> select exp(-9999999999)
exp(-9999999999) |
============================
0.000000000000000 |
0 |
taos> select exp(0.0001)
exp(0.0001) |
============================
1.000100005000167 |
1.00010000500017 |
taos> select exp(pi())
exp(pi()) |
============================
23.140692632779267 |
23.1406926327793 |
taos> select exp(voltage) from ts_4893.meters limit 1
exp(voltage) |
============================
9.529727902367202e+95 |
9.5297279023672e+95 |
taos> select exp(current) from ts_4893.meters limit 1
exp(current) |
============================
42192.578453635847836 |
42192.5784536358 |
taos> select exp(phase) from ts_4893.meters limit 1
exp(phase) |
============================
1.663457087766762 |
1.66345708776676 |
taos> select exp(voltage + current) from ts_4893.meters limit 1
exp(voltage + current) |
============================
4.020837921624308e+100 |
4.02083792162431e+100 |
taos> select exp(abs(current)) from ts_4893.meters limit 1
exp(abs(current)) |
============================
42192.578453635847836 |
42192.5784536358 |
taos> select exp(log(voltage)) from ts_4893.meters limit 1
exp(log(voltage)) |
============================
220.999999999999915 |
221 |
taos> select round(exp(voltage), 2) from ts_4893.meters limit 1
round(exp(voltage), 2) |
============================
9.529727902367202e+95 |
9.5297279023672e+95 |

Can't render this file because it has a wrong number of fields in line 129.

134
tests/army/query/function/ans/ln.csv
View File

@ -2,7 +2,7 @@
taos> select LN(100)
ln(100) |
============================
4.605170185988092 |
4.60517018598809 |
taos> select LN(1.5)
ln(1.5) |
@ -12,71 +12,71 @@ taos> select LN(1.5)
taos> select LN(100)
ln(100) |
============================
4.605170185988092 |
4.60517018598809 |
taos> select LN(100) + 1
ln(100) + 1 |
============================
5.605170185988092 |
5.60517018598809 |
taos> select LN(100) - 1
ln(100) - 1 |
============================
3.605170185988092 |
3.60517018598809 |
taos> select LN(100) * 1
ln(100) * 1 |
============================
4.605170185988092 |
4.60517018598809 |
taos> select LN(100) / 1
ln(100) / 1 |
============================
4.605170185988092 |
4.60517018598809 |
taos> select LN(100) from ts_4893.meters limit 5
ln(100) |
============================
4.605170185988092 |
4.605170185988092 |
4.605170185988092 |
4.605170185988092 |
4.605170185988092 |
4.60517018598809 |
4.60517018598809 |
4.60517018598809 |
4.60517018598809 |
4.60517018598809 |
taos> select LN(100) + 1 from ts_4893.meters limit 1
ln(100) + 1 |
============================
5.605170185988092 |
5.60517018598809 |
taos> select LN(100) - 1 from ts_4893.meters limit 1
ln(100) - 1 |
============================
3.605170185988092 |
3.60517018598809 |
taos> select LN(100) * 2 from ts_4893.meters limit 1
ln(100) * 2 |
============================
9.210340371976184 |
9.21034037197618 |
taos> select LN(100) / 2 from ts_4893.meters limit 1
ln(100) / 2 |
============================
2.302585092994046 |
2.30258509299405 |
taos> select LN(2) + LN(100) from ts_4893.meters limit 1
ln(2) + ln(100) |
============================
5.298317366548037 |
5.29831736654804 |
taos> select LN(2) - LN(100) from ts_4893.meters limit 1
ln(2) - ln(100) |
============================
-3.912023005428146 |
-3.91202300542815 |
taos> select LN(2) * LN(100) from ts_4893.meters limit 1
ln(2) * ln(100) |
============================
3.192060730416365 |
3.19206073041636 |
taos> select LN(2) / LN(100) from ts_4893.meters limit 1
ln(2) / ln(100) |
@ -86,20 +86,20 @@ taos> select LN(2) / LN(100) from ts_4893.meters limit 1
taos> select LN(100) + id from ts_4893.meters order by ts limit 5
ln(100) + id |
============================
4.605170185988092 |
5.605170185988092 |
6.605170185988092 |
7.605170185988092 |
8.605170185988092 |
4.60517018598809 |
5.60517018598809 |
6.60517018598809 |
7.60517018598809 |
8.60517018598809 |
taos> select LN(id + 1) + id from ts_4893.meters order by ts limit 5
ln(id + 1) + id |
============================
0.000000000000000 |
1.693147180559945 |
3.098612288668110 |
4.386294361119891 |
5.609437912434101 |
0 |
1.69314718055995 |
3.09861228866811 |
4.38629436111989 |
5.6094379124341 |
taos> select ln(null)
ln(null) |
@ -119,17 +119,17 @@ taos> select ln(-5)
taos> select abs(LN(10))
abs(ln(10)) |
============================
2.302585092994046 |
2.30258509299405 |
taos> select pow(LN(10), 2)
pow(ln(10), 2) |
============================
5.301898110478399 |
5.3018981104784 |
taos> select sqrt(LN(10))
sqrt(ln(10)) |
============================
1.517427129385146 |
1.51742712938515 |
taos> select cast(LN(10) as int)
cast(ln(10) as int) |
@ -139,11 +139,11 @@ taos> select cast(LN(10) as int)
taos> select LN(sqrt(id) + 1) from ts_4893.meters order by ts limit 5
ln(sqrt(id) + 1) |
============================
0.000000000000000 |
0 |
0.693147180559945 |
0.881373587019543 |
1.005052538742381 |
1.098612288668110 |
1.00505253874238 |
1.09861228866811 |
taos> select LN(LN(LN(LN(10000))))
ln(ln(ln(ln(10000)))) |
@ -153,70 +153,70 @@ taos> select LN(LN(LN(LN(10000))))
taos> select LN(EXP(2))
ln(exp(2)) |
============================
2.000000000000000 |
2 |
taos> select ln(10)
ln(10) |
============================
2.302585092994046 |
2.30258509299405 |
taos> select ln(pi())
ln(pi()) |
============================
1.144729885849400 |
1.1447298858494 |
taos> select ln(current) from ts_4893.d0 order by ts limit 10
ln(current) |
============================
2.365559856336680 |
2.148734409997751 |
2.281872059185575 |
2.418855857000369 |
2.370804362614190 |
2.141006941277850 |
2.261346315560232 |
2.394434736880126 |
2.418232501568406 |
2.335729681253415 |
2.36555985633668 |
2.14873440999775 |
2.28187205918557 |
2.41885585700037 |
2.37080436261419 |
2.14100694127785 |
2.26134631556023 |
2.39443473688013 |
2.41823250156841 |
2.33572968125342 |
taos> select ln(current) from ts_4893.meters order by ts limit 10
ln(current) |
============================
2.365559856336680 |
2.148734409997751 |
2.281872059185575 |
2.418855857000369 |
2.370804362614190 |
2.141006941277850 |
2.261346315560232 |
2.394434736880126 |
2.418232501568406 |
2.335729681253415 |
2.36555985633668 |
2.14873440999775 |
2.28187205918557 |
2.41885585700037 |
2.37080436261419 |
2.14100694127785 |
2.26134631556023 |
2.39443473688013 |
2.41823250156841 |
2.33572968125342 |
taos> select ln(1)
ln(1) |
============================
0.000000000000000 |
0 |
taos> select ln(20)
ln(20) |
============================
2.995732273553991 |
2.99573227355399 |
taos> select ln(100)
ln(100) |
============================
4.605170185988092 |
4.60517018598809 |
taos> select ln(99999999999999)
ln(99999999999999) |
============================
32.236191301916627 |
32.2361913019166 |
taos> select ln(0.1)
ln(0.1) |
============================
-2.302585092994045 |
-2.30258509299405 |
taos> select ln(2.718)
ln(2.718) |
@ -226,17 +226,17 @@ taos> select ln(2.718)
taos> select ln(exp(1))
ln(exp(1)) |
============================
1.000000000000000 |
1 |
taos> select ln(voltage) from ts_4893.meters where voltage > 0 limit 1
ln(voltage) |
============================
5.398162701517752 |
5.39816270151775 |
taos> select ln(current) from ts_4893.meters where current > 0 limit 1
ln(current) |
============================
2.365559856336680 |
2.36555985633668 |
taos> select ln(phase) from ts_4893.meters where phase > 0 limit 1
ln(phase) |
@ -246,12 +246,12 @@ taos> select ln(phase) from ts_4893.meters where phase > 0 limit 1
taos> select ln(exp(voltage)) from ts_4893.meters where voltage > 0 limit 1
ln(exp(voltage)) |
============================
221.000000000000000 |
221 |
taos> select ln(abs(current)) from ts_4893.meters where current != 0 limit 1
ln(abs(current)) |
============================
2.365559856336680 |
2.36555985633668 |
taos> select ln(sqrt(phase)) from ts_4893.meters where phase >= 0 limit 1
ln(sqrt(phase)) |

Can't render this file because it has a wrong number of fields in line 124.

130
tests/army/query/function/ans/max.csv
View File

@ -2,7 +2,7 @@
taos> select MAX(current) from ts_4893.meters
max(current) |
=======================
11.9989996 |
11.999 |
taos> select MAX(voltage) from ts_4893.meters
max(voltage) |
@ -100,65 +100,65 @@ taos> select MAX(id) from ts_4893.meters interval(60d)
taos> select MAX(current) from ts_4893.meters interval(60d)
max(current) |
=======================
11.9989996 |
11.9969997 |
11.9969997 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9980001 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9969997 |
11.9989996 |
11.9989996 |
11.9989996 |
11.9860001 |
11.999 |
11.997 |
11.997 |
11.999 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.998 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.999 |
11.999 |
11.999 |
11.999 |
11.997 |
11.999 |
11.999 |
11.999 |
11.986 |
taos> select MAX(voltage) from ts_4893.meters interval(60d)
max(voltage) |
@ -561,7 +561,7 @@ taos> select max(id) from ts_4893.meters where id <= 0
taos> select max(phase) from ts_4893.meters where ts between '2023-01-01 00:00:00' and '2023-12-31 23:59:59'
max(phase) |
=======================
0.9999660 |
0.999966 |
taos> select max(voltage) from ts_4893.meters where voltage is not null
max(voltage) |
@ -581,12 +581,12 @@ taos> select round(max(current), 2) from ts_4893.meters
taos> select pow(max(current), 2) from ts_4893.meters
pow(max(current), 2) |
============================
143.975991296219036 |
143.975991296219 |
taos> select log(max(voltage) + 1) from ts_4893.meters
log(max(voltage) + 1) |
============================
5.416100402204420 |
5.41610040220442 |
taos> select groupid, max(voltage) from ts_4893.meters group by groupid order by groupid
groupid | max(voltage) |
@ -601,7 +601,7 @@ taos> select location, max(id) from ts_4893.meters group by location order by lo
taos> select location, max(current) from ts_4893.meters group by location order by location
location | max(current) |
============================================
beijing | 11.9989996 |
beijing | 11.999 |
taos> select max(1)
max(1) |
@ -656,5 +656,5 @@ taos> select max(cast(1.1 as float))
taos> select max(cast(1.1 as double))
max(cast(1.1 as double)) |
============================
1.100000000000000 |
1.1 |

Can't render this file because it has a wrong number of fields in line 576.

130
tests/army/query/function/ans/min.csv
View File

@ -7,7 +7,7 @@ taos> select MIN(id) from ts_4893.meters
taos> select MIN(current) from ts_4893.meters
min(current) |
=======================
8.0000000 |
8 |
taos> select MIN(voltage) from ts_4893.meters
min(voltage) |
@ -105,65 +105,65 @@ taos> select MIN(id) from ts_4893.meters interval(60d)
taos> select MIN(current) from ts_4893.meters interval(60d)
min(current) |
=======================
8.0000000 |
8.0000000 |
8.0000000 |
8.0010004 |
8.0010004 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0030003 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0030003 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0010004 |
8.0089998 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0030003 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0019999 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0000000 |
8.0019999 |
8.0010004 |
8.0000000 |
8.0050001 |
8 |
8 |
8 |
8.001 |
8.001 |
8 |
8 |
8 |
8.002 |
8.001 |
8 |
8.003 |
8 |
8 |
8.002 |
8.001 |
8 |
8.003 |
8 |
8 |
8.002 |
8.001 |
8 |
8 |
8 |
8 |
8.002 |
8.001 |
8 |
8 |
8 |
8 |
8.001 |
8.009 |
8 |
8 |
8 |
8.002 |
8.001 |
8 |
8.003 |
8 |
8 |
8.002 |
8.001 |
8 |
8.002 |
8 |
8 |
8.002 |
8.001 |
8 |
8 |
8 |
8 |
8.002 |
8.001 |
8 |
8.005 |
taos> select MIN(voltage) from ts_4893.meters interval(60d)
min(voltage) |
@ -561,7 +561,7 @@ taos> select min(id) from ts_4893.meters where id <= 0
taos> select min(phase) from ts_4893.meters where ts between '2023-01-01 00:00:00' and '2023-12-31 23:59:59'
min(phase) |
=======================
0.0001700 |
0.00017 |
taos> select min(voltage) from ts_4893.meters where voltage is not null
min(voltage) |
@ -581,12 +581,12 @@ taos> select round(min(current), 2) from ts_4893.meters
taos> select pow(min(current), 2) from ts_4893.meters
pow(min(current), 2) |
============================
64.000000000000000 |
64 |
taos> select log(min(voltage) + 1) from ts_4893.meters
log(min(voltage) + 1) |
============================
5.375278407684165 |
5.37527840768417 |
taos> select groupid, min(voltage) from ts_4893.meters group by groupid order by groupid
groupid | min(voltage) |
@ -596,7 +596,7 @@ taos> select groupid, min(voltage) from ts_4893.meters group by groupid order by
taos> select location, min(current) from ts_4893.meters group by location order by location
location | min(current) |
============================================
beijing | 8.0000000 |
beijing | 8 |
taos> select location, min(id) from ts_4893.meters group by location order by location
location | min(id) |
@ -656,5 +656,5 @@ taos> select min(cast(1.1 as float))
taos> select min(cast(1.1 as double))
min(cast(1.1 as double)) |
============================
1.100000000000000 |
1.1 |

Can't render this file because it has a wrong number of fields in line 576.

82
tests/army/query/function/ans/mod.csv
View File

@ -2,7 +2,7 @@
taos> select MOD(10.55, 3)
mod(10.55, 3) |
============================
1.550000000000001 |
1.55 |
taos> select MOD(10.55, 2)
mod(10.55, 2) |
@ -32,12 +32,12 @@ taos> select MOD(-10.55, 1)
taos> select MOD(99, 1)
mod(99, 1) |
============================
0.000000000000000 |
0 |
taos> select MOD(10.55, 1) + 1
mod(10.55, 1) + 1 |
============================
1.550000000000001 |
1.55 |
taos> select MOD(MOD(MOD(MOD(MOD(MOD(MOD(123.123456789, 9), 8), 7), 6), 5), 4), 3)
mod(mod(mod(mod(mod(mod(mod(123.123456789, 9), 8), 7), 6), 5), 4 |
@ -69,12 +69,12 @@ taos> select MOD(current, id + 1) from ts_4893.meters order by ts limit 10
0.649999618530273 |
0.574000358581543 |
0.795000076293945 |
3.232999801635742 |
3.23299980163574 |
0.706000328063965 |
2.508000373840332 |
2.595999717712402 |
2.961999893188477 |
2.225999832153320 |
2.50800037384033 |
2.5959997177124 |
2.96199989318848 |
2.22599983215332 |
0.336999893188477 |
taos> select MOD(current, 1) from ts_4893.meters order by ts limit 10
@ -88,7 +88,7 @@ taos> select MOD(current, 1) from ts_4893.meters order by ts limit 10
0.508000373840332 |
0.595999717712402 |
0.961999893188477 |
0.225999832153320 |
0.22599983215332 |
0.336999893188477 |
taos> select MOD(sqrt(current), abs(id + 1)) from ts_4893.meters order by ts limit 10
@ -108,40 +108,40 @@ taos> select MOD(sqrt(current), abs(id + 1)) from ts_4893.meters order by ts lim
taos> select mod(10, -3)
mod(10, -3) |
============================
1.000000000000000 |
1 |
taos> select mod(10, 3)
mod(10, 3) |
============================
1.000000000000000 |
1 |
taos> select mod(id, 3) from ts_4893.d0 order by ts limit 10
mod(id, 3) |
============================
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
0 |
1 |
2 |
0 |
1 |
2 |
0 |
1 |
2 |
0 |
taos> select mod(id, 3) from ts_4893.meters order by ts limit 10
mod(id, 3) |
============================
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
1.000000000000000 |
2.000000000000000 |
0.000000000000000 |
0 |
1 |
2 |
0 |
1 |
2 |
0 |
1 |
2 |
0 |
taos> select mod(null, 2)
mod(null, 2) |
@ -171,37 +171,37 @@ taos> select mod(5, 0)
taos> select mod(0, 1)
mod(0, 1) |
============================
0.000000000000000 |
0 |
taos> select mod(1, 1)
mod(1, 1) |
============================
0.000000000000000 |
0 |
taos> select mod(5, 2)
mod(5, 2) |
============================
1.000000000000000 |
1 |
taos> select mod(5, -3)
mod(5, -3) |
============================
2.000000000000000 |
2 |
taos> select mod(15, 4)
mod(15, 4) |
============================
3.000000000000000 |
3 |
taos> select mod(-5, 3)
mod(-5, 3) |
============================
-2.000000000000000 |
-2 |
taos> select mod(voltage, 2) from ts_4893.meters limit 1
mod(voltage, 2) |
============================
1.000000000000000 |
1 |
taos> select mod(current, 10) from ts_4893.meters limit 1
mod(current, 10) |
@ -211,7 +211,7 @@ taos> select mod(current, 10) from ts_4893.meters limit 1
taos> select mod(current, log(100)) from ts_4893.meters limit 1
mod(current, log(100)) |
============================
1.439659246554090 |
1.43965924655409 |
taos> select mod(phase, 4) from ts_4893.meters limit 1
mod(phase, 4) |
@ -221,7 +221,7 @@ taos> select mod(phase, 4) from ts_4893.meters limit 1
taos> select mod(abs(voltage), 3) from ts_4893.meters limit 1
mod(abs(voltage), 3) |
============================
2.000000000000000 |
2 |
taos> select mod(phase, sqrt(16)) from ts_4893.meters limit 1
mod(phase, sqrt(16)) |
@ -231,5 +231,5 @@ taos> select mod(phase, sqrt(16)) from ts_4893.meters limit 1
taos> select mod(round(voltage), 5) from ts_4893.meters limit 1
mod(round(voltage), 5) |
============================
1.000000000000000 |
1 |

1 taos> select MOD(10.55, 3)
2 mod(10.55, 3) |
3 ============================
4 1.550000000000001 | 1.55 |
5 taos> select MOD(10.55, 2)
6 mod(10.55, 2) |
7 ============================
8 0.550000000000001 |
32 1.550000000000001 | 1.55 |
33 taos> select MOD(MOD(MOD(MOD(MOD(MOD(MOD(123.123456789, 9), 8), 7), 6), 5), 4), 3)
34 mod(mod(mod(mod(mod(mod(mod(123.123456789, 9), 8), 7), 6), 5), 4 |
35 ===================================================================
36 1.234567890000022e-01 |
37 taos> select MOD(MOD(MOD(MOD(MOD(MOD(MOD(123456789.123456789, -1), -2), -3), -4), -5), -6), -7)
38 mod(mod(mod(mod(mod(mod(mod(123456789.123456789, -1), -2), -3), |
39 ===================================================================
40 1.234567910432816e-01 |
41 taos> select MOD(87654321.123456789, id + 1) from ts_4893.meters order by ts limit 10
42 mod(87654321.123456789, id + 1) |
43 ==================================
69 ============================
70 0.649999618530273 |
71 0.574000358581543 |
72 0.795000076293945 |
73 0.232999801635742 |
74 0.706000328063965 |
75 0.508000373840332 |
76 0.595999717712402 |
77 0.961999893188477 |
78 0.225999832153320 | 0.22599983215332 |
79 0.336999893188477 |
80 taos> select MOD(sqrt(current), abs(id + 1)) from ts_4893.meters order by ts limit 10
88 2.916847677517688e+00 |
89 3.097741066924800e+00 |
90 3.310891102586806e+00 |
91 3.350522322288470e+00 |
92 3.215120509901375e+00 |
93 taos> select mod(10, -3)
94 mod(10, -3) |
108 1.000000000000000 | 1 |
109 2.000000000000000 | 2 |
110 0.000000000000000 | 0 |
111 1.000000000000000 | 1 |
112 2.000000000000000 | 2 |
113 0.000000000000000 | 0 |
114 taos> select mod(id, 3) from ts_4893.meters order by ts limit 10
115 mod(id, 3) |
116 ============================
117 0.000000000000000 | 0 |
118 1.000000000000000 | 1 |
119 2.000000000000000 | 2 |
120 0.000000000000000 | 0 |
121 1.000000000000000 | 1 |
122 2.000000000000000 | 2 |
123 0.000000000000000 | 0 |
124 1.000000000000000 | 1 |
125 2.000000000000000 | 2 |
126 0.000000000000000 | 0 |
127 taos> select mod(null, 2)
128 mod(null, 2) |
129 ============================
130 NULL |
131 taos> select mod(10, null)
132 mod(10, null) |
133 ============================
134 NULL |
135 taos> select mod(10, 0)
136 mod(10, 0) |
137 ============================
138 NULL |
139 taos> select mod(-10, 0)
140 mod(-10, 0) |
141 ============================
142 NULL |
143 taos> select mod(5, 0)
144 mod(5, 0) |
145 ============================
146 NULL |
147 taos> select mod(0, 1)
171 taos> select mod(voltage, 2) from ts_4893.meters limit 1
172 mod(voltage, 2) |
173 ============================
174 1.000000000000000 | 1 |
175 taos> select mod(current, 10) from ts_4893.meters limit 1
176 mod(current, 10) |
177 ============================
178 0.649999618530273 |
179 taos> select mod(current, log(100)) from ts_4893.meters limit 1
180 mod(current, log(100)) |
181 ============================
182 1.439659246554090 | 1.43965924655409 |
183 taos> select mod(phase, 4) from ts_4893.meters limit 1
184 mod(phase, 4) |
185 ============================
186 0.508898019790649 |
187 taos> select mod(abs(voltage), 3) from ts_4893.meters limit 1
188 mod(abs(voltage), 3) |
189 ============================
190 2.000000000000000 | 2 |
191 taos> select mod(phase, sqrt(16)) from ts_4893.meters limit 1
192 mod(phase, sqrt(16)) |
193 ============================
194 0.508898019790649 |
195 taos> select mod(round(voltage), 5) from ts_4893.meters limit 1
196 mod(round(voltage), 5) |
197 ============================
198 1.000000000000000 | 1 |
199
200
201
202
203
204
205
206
207
211
212
213
214
215
216
217
221
222
223
224
225
226
227
231
232
233
234
235

80
tests/army/query/function/ans/pi.csv
View File

@ -2,100 +2,100 @@
taos> select pi()
pi() |
============================
3.141592653589793 |
3.14159265358979 |
taos> select pi() + 1
pi() + 1 |
============================
4.141592653589793 |
4.14159265358979 |
taos> select pi() - 1
pi() - 1 |
============================
2.141592653589793 |
2.14159265358979 |
taos> select pi() * 2
pi() * 2 |
============================
6.283185307179586 |
6.28318530717959 |
taos> select pi() / 2
pi() / 2 |
============================
1.570796326794897 |
1.5707963267949 |
taos> select pi() from ts_4893.meters limit 5
pi() |
============================
3.141592653589793 |
3.141592653589793 |
3.141592653589793 |
3.141592653589793 |
3.141592653589793 |
3.14159265358979 |
3.14159265358979 |
3.14159265358979 |
3.14159265358979 |
3.14159265358979 |
taos> select pi() + 1 from ts_4893.meters limit 1
pi() + 1 |
============================
4.141592653589793 |
4.14159265358979 |
taos> select pi() - 1 from ts_4893.meters limit 1
pi() - 1 |
============================
2.141592653589793 |
2.14159265358979 |
taos> select pi() * 2 from ts_4893.meters limit 1
pi() * 2 |
============================
6.283185307179586 |
6.28318530717959 |
taos> select pi() / 2 from ts_4893.meters limit 1
pi() / 2 |
============================
1.570796326794897 |
1.5707963267949 |
taos> select pi() + pi() from ts_4893.meters limit 1
pi() + pi() |
============================
6.283185307179586 |
6.28318530717959 |
taos> select pi() - pi() from ts_4893.meters limit 1
pi() - pi() |
============================
0.000000000000000 |
0 |
taos> select pi() * pi() from ts_4893.meters limit 1
pi() * pi() |
============================
9.869604401089358 |
9.86960440108936 |
taos> select pi() / pi() from ts_4893.meters limit 1
pi() / pi() |
============================
1.000000000000000 |
1 |
taos> select pi() + id from ts_4893.meters order by ts limit 5
pi() + id |
============================
3.141592653589793 |
4.141592653589793 |
5.141592653589793 |
6.141592653589793 |
7.141592653589793 |
3.14159265358979 |
4.14159265358979 |
5.14159265358979 |
6.14159265358979 |
7.14159265358979 |
taos> select abs(pi())
abs(pi()) |
============================
3.141592653589793 |
3.14159265358979 |
taos> select pow(pi(), 2)
pow(pi(), 2) |
============================
9.869604401089358 |
9.86960440108936 |
taos> select sqrt(pi())
sqrt(pi()) |
============================
1.772453850905516 |
1.77245385090552 |
taos> select cast(pi() as int)
cast(pi() as int) |
@ -105,7 +105,7 @@ taos> select cast(pi() as int)
taos> select pi()
pi() |
============================
3.141592653589793 |
3.14159265358979 |
taos> select substring_index(null, '.', 2)
substring_index(null, '.', 2) |
@ -120,7 +120,7 @@ taos> select pi() + null
taos> select pi() * 0
pi() * 0 |
============================
0.000000000000000 |
0 |
taos> select pi() / 0
pi() / 0 |
@ -130,62 +130,62 @@ taos> select pi() / 0
taos> select pi() * 0.5
pi() * 0.5 |
============================
1.570796326794897 |
1.5707963267949 |
taos> select pi() * -1
pi() * -1 |
============================
-3.141592653589793 |
-3.14159265358979 |
taos> select pi() * name from ts_4893.meters limit 1
pi() * name |
============================
0.000000000000000 |
0 |
taos> select pi() * voltage from ts_4893.meters limit 1
pi() * voltage |
============================
694.291976443344311 |
694.291976443344 |
taos> select pi() * phase * 2 from ts_4893.meters limit 1
pi() * phase * 2 |
============================
3.197500560801395 |
3.19750056080139 |
taos> select round(pi(), 6)
round(pi(), 6) |
============================
3.141593000000000 |
3.141593 |
taos> select round(pi() * phase, 2) from ts_4893.meters limit 1
round(pi() * phase, 2) |
============================
1.600000000000000 |
1.6 |
taos> select sqrt(pi() * voltage) from ts_4893.meters limit 1
sqrt(pi() * voltage) |
============================
26.349420799010826 |
26.3494207990108 |
taos> select sqrt(current / pi()) from ts_4893.meters limit 1
sqrt(current / pi()) |
============================
1.841195309148865 |
1.84119530914887 |
taos> select abs(pi() * phase) from ts_4893.meters limit 1
abs(pi() * phase) |
============================
1.598750280400697 |
1.5987502804007 |
taos> select log(pi() * voltage) from ts_4893.meters limit 1
log(pi() * voltage) |
============================
6.542892587367153 |
6.54289258736715 |
taos> select voltage / pi() from ts_4893.meters limit 1
voltage / pi() |
============================
70.346484846617741 |
70.3464848466177 |
taos> select id, case when voltage > 100 then pi() else pi() / 2 end from ts_4893.meters limit 1
id | case when voltage > 100 then pi() else pi() / 2 end |

Can't render this file because it has a wrong number of fields in line 90.

102
tests/army/query/function/ans/radians.csv
View File

@ -2,42 +2,42 @@
taos> select RADIANS(0)
radians(0) |
============================
0.000000000000000 |
0 |
taos> select RADIANS(1)
radians(1) |
============================
0.017453292519943 |
0.0174532925199433 |
taos> select RADIANS(1.5)
radians(1.5) |
============================
0.026179938779915 |
0.0261799387799149 |
taos> select RADIANS(100)
radians(100) |
============================
1.745329251994330 |
1.74532925199433 |
taos> select RADIANS(-1)
radians(-1) |
============================
-0.017453292519943 |
-0.0174532925199433 |
taos> select RADIANS(-1.5)
radians(-1.5) |
============================
-0.026179938779915 |
-0.0261799387799149 |
taos> select RADIANS(-100)
radians(-100) |
============================
-1.745329251994330 |
-1.74532925199433 |
taos> select RADIANS(1) + 1
radians(1) + 1 |
============================
1.017453292519943 |
1.01745329251994 |
taos> select RADIANS(1) - 1
radians(1) - 1 |
@ -47,26 +47,26 @@ taos> select RADIANS(1) - 1
taos> select RADIANS(1) * 1
radians(1) * 1 |
============================
0.017453292519943 |
0.0174532925199433 |
taos> select RADIANS(1) / 1
radians(1) / 1 |
============================
0.017453292519943 |
0.0174532925199433 |
taos> select RADIANS(1) from ts_4893.meters limit 5
radians(1) |
============================
0.017453292519943 |
0.017453292519943 |
0.017453292519943 |
0.017453292519943 |
0.017453292519943 |
0.0174532925199433 |
0.0174532925199433 |
0.0174532925199433 |
0.0174532925199433 |
0.0174532925199433 |
taos> select RADIANS(1) + 1 from ts_4893.meters limit 1
radians(1) + 1 |
============================
1.017453292519943 |
1.01745329251994 |
taos> select RADIANS(1) - 1 from ts_4893.meters limit 1
radians(1) - 1 |
@ -76,50 +76,50 @@ taos> select RADIANS(1) - 1 from ts_4893.meters limit 1
taos> select RADIANS(1) * 2 from ts_4893.meters limit 1
radians(1) * 2 |
============================
0.034906585039887 |
0.0349065850398866 |
taos> select RADIANS(1) / 2 from ts_4893.meters limit 1
radians(1) / 2 |
============================
0.008726646259972 |
0.00872664625997165 |
taos> select RADIANS(2) + RADIANS(1) from ts_4893.meters limit 1
radians(2) + radians(1) |
============================
0.052359877559830 |
0.0523598775598299 |
taos> select RADIANS(2) - RADIANS(1) from ts_4893.meters limit 1
radians(2) - radians(1) |
============================
0.017453292519943 |
0.0174532925199433 |
taos> select RADIANS(2) * RADIANS(1) from ts_4893.meters limit 1
radians(2) * radians(1) |
============================
0.000609234839573 |
0.000609234839573417 |
taos> select RADIANS(2) / RADIANS(1) from ts_4893.meters limit 1
radians(2) / radians(1) |
============================
2.000000000000000 |
2 |
taos> select RADIANS(1) + id from ts_4893.meters order by ts limit 5
radians(1) + id |
============================
0.017453292519943 |
1.017453292519943 |
2.017453292519943 |
3.017453292519943 |
4.017453292519943 |
0.0174532925199433 |
1.01745329251994 |
2.01745329251994 |
3.01745329251994 |
4.01745329251994 |
taos> select RADIANS(id) + id from ts_4893.meters order by ts limit 5
radians(id) + id |
============================
0.000000000000000 |
1.017453292519943 |
2.034906585039887 |
3.052359877559830 |
4.069813170079773 |
0 |
1.01745329251994 |
2.03490658503989 |
3.05235987755983 |
4.06981317007977 |
taos> select RADIANS(abs(10))
radians(abs(10)) |
@ -129,7 +129,7 @@ taos> select RADIANS(abs(10))
taos> select RADIANS(DEGREES(PI()))
radians(degrees(pi())) |
============================
3.141592653589793 |
3.14159265358979 |
taos> select abs(RADIANS(10))
abs(radians(10)) |
@ -139,7 +139,7 @@ taos> select abs(RADIANS(10))
taos> select pow(RADIANS(10), 2)
pow(radians(10), 2) |
============================
0.030461741978671 |
0.0304617419786709 |
taos> select sqrt(RADIANS(10))
sqrt(radians(10)) |
@ -154,16 +154,16 @@ taos> select cast(RADIANS(10) as int)
taos> select RADIANS(sqrt(id)) from ts_4893.meters order by ts limit 5
radians(sqrt(id)) |
============================
0.000000000000000 |
0.017453292519943 |
0.024682682989769 |
0.030229989403904 |
0.034906585039887 |
0 |
0.0174532925199433 |
0.0246826829897687 |
0.0302299894039036 |
0.0349065850398866 |
taos> select radians(180)
radians(180) |
============================
3.141592653589793 |
3.14159265358979 |
taos> select radians(current) from ts_4893.d0 order by ts limit 10
radians(current) |
@ -201,7 +201,7 @@ taos> select radians(null)
taos> select radians(0)
radians(0) |
============================
0.000000000000000 |
0 |
taos> select radians(45)
radians(45) |
@ -216,22 +216,22 @@ taos> select radians(-45)
taos> select radians(90)
radians(90) |
============================
1.570796326794897 |
1.5707963267949 |
taos> select radians(-90)
radians(-90) |
============================
-1.570796326794897 |
-1.5707963267949 |
taos> select radians(360)
radians(360) |
============================
6.283185307179586 |
6.28318530717959 |
taos> select radians(1000000)
radians(1000000) |
============================
17453.292519943293883 |
17453.2925199433 |
taos> select radians(sin(1))
radians(sin(1)) |
@ -241,22 +241,22 @@ taos> select radians(sin(1))
taos> select radians(cos(1))
radians(cos(1)) |
============================
0.009430054193517 |
0.00943005419351652 |
taos> select radians(tan(1))
radians(tan(1)) |
============================
0.027181892591221 |
0.0271818925912213 |
taos> select radians(degrees(90))
radians(degrees(90)) |
============================
89.999999999999986 |
90 |
taos> select radians(atan(1))
radians(atan(1)) |
============================
0.013707783890402 |
0.0137077838904019 |
taos> select radians(current) from ts_4893.meters limit 1
radians(current) |
@ -266,10 +266,10 @@ taos> select radians(current) from ts_4893.meters limit 1
taos> select radians(voltage) from ts_4893.meters limit 1
radians(voltage) |
============================
3.857177646907469 |
3.85717764690747 |
taos> select radians(phase) from ts_4893.meters limit 1
radians(phase) |
============================
0.008881946002226 |
0.0088819460022261 |

Can't render this file because it has a wrong number of fields in line 139.

54
tests/army/query/function/ans/rand.csv
View File

@ -7,8 +7,8 @@ taos> select RAND(1245)
taos> select RAND(id) from ts_4893.d0 limit 10
rand(id) |
============================
0.840187717154710 |
0.840187717154710 |
0.84018771715471 |
0.84018771715471 |
0.700976369297587 |
0.561380175203728 |
0.916457875592847 |
@ -35,12 +35,12 @@ taos> select RAND(id) from ts_4893.d0 order by id desc limit 10
taos> select rand(0)
rand(0) |
============================
0.840187717154710 |
0.84018771715471 |
taos> select rand(1)
rand(1) |
============================
0.840187717154710 |
0.84018771715471 |
taos> select rand(-1)
rand(-1) |
@ -65,13 +65,13 @@ taos> select rand(12345), rand(12345)
taos> select rand(9999999999) where rand(9999999999) >= 0 and rand(9999999999) < 1
rand(9999999999) |
============================
0.321409397442550 |
0.32140939744255 |
taos> select rand(id) from ts_4893.meters limit 100
rand(id) |
============================
0.840187717154710 |
0.840187717154710 |
0.84018771715471 |
0.84018771715471 |
0.700976369297587 |
0.561380175203728 |
0.916457875592847 |
@ -89,22 +89,22 @@ taos> select rand(id) from ts_4893.meters limit 100
0.215437470104283 |
0.571794000254848 |
0.929072778173291 |
0.290233385418650 |
0.148812267532950 |
0.29023338541865 |
0.14881226753295 |
0.505899571117898 |
0.865026922367991 |
0.727581746283724 |
0.087714229285584 |
0.0877142292855839 |
0.939356191986872 |
0.795545781867367 |
0.659832971943465 |
0.517155105023251 |
0.875989373715589 |
0.229967075041480 |
0.22996707504148 |
0.592119012303706 |
0.449675684072858 |
0.307948935454688 |
0.168970021497910 |
0.16897002149791 |
0.524489704763745 |
0.381259786142623 |
0.239412393066758 |
@ -112,29 +112,29 @@ taos> select rand(id) from ts_4893.meters limit 100
0.957148446215851 |
0.819422913165494 |
0.670246056127477 |
0.033469948001890 |
0.0334699480018904 |
0.392149003405193 |
0.749737140606035 |
0.608923980318440 |
0.60892398031844 |
0.469695958061933 |
0.825680229266025 |
0.683865774275673 |
0.041811583583155 |
0.0418115835831555 |
0.894321223206036 |
0.760580372885140 |
0.76058037288514 |
0.615916447069457 |
0.977703406930763 |
0.329537633959920 |
0.193522962831670 |
0.052021294390793 |
0.32953763395992 |
0.19352296283167 |
0.0520212943907926 |
0.911150676622591 |
0.766549994129012 |
0.126697651635249 |
0.985316422761100 |
0.843173408342140 |
0.9853164227611 |
0.84317340834214 |
0.699550600116863 |
0.557263156192965 |
0.419794161068180 |
0.41979416106818 |
0.278590486048996 |
0.133239280028846 |
0.488706417143674 |
@ -147,25 +147,25 @@ taos> select rand(id) from ts_4893.meters limit 100
0.998458440880505 |
0.356983164025928 |
0.218767986269094 |
0.076468908263589 |
0.0764689082635888 |
0.431104593179703 |
0.293163777931204 |
0.650123746902740 |
0.65012374690274 |
0.510736836358317 |
0.864335399057872 |
0.725284450559544 |
0.085677149279824 |
0.0856771492798241 |
0.942077809917777 |
0.798407114482674 |
0.163865051774245 |
0.017995767769402 |
0.0179957677694018 |
0.879516513030751 |
0.736922031145972 |
0.589669372695344 |
0.954449085497507 |
0.811225361568493 |
0.172090128609953 |
0.525153056031630 |
0.52515305603163 |
0.386470556904781 |
0.744990266275122 |
0.100015020510189 |

Can't render this file because it has a wrong number of fields in line 60.

182
tests/army/query/function/ans/round.csv
View File

@ -2,42 +2,42 @@
taos> select ROUND(10.55, 3)
round(10.55, 3) |
============================
10.550000000000001 |
10.55 |
taos> select ROUND(10.55, 2)
round(10.55, 2) |
============================
10.550000000000001 |
10.55 |
taos> select ROUND(10.55, 1)
round(10.55, 1) |
============================
10.600000000000000 |
10.6 |
taos> select ROUND(10.55, 0)
round(10.55, 0) |
============================
11.000000000000000 |
11 |
taos> select ROUND(10.55)
round(10.55) |
============================
11.000000000000000 |
11 |
taos> select ROUND(10.55, -1)
round(10.55, -1) |
============================
10.000000000000000 |
10 |
taos> select ROUND(10.55, -10)
round(10.55, -10) |
============================
0.000000000000000 |
0 |
taos> select ROUND(-10.55, 1)
round(-10.55, 1) |
============================
-10.600000000000000 |
-10.6 |
taos> select ROUND(99, 1)
round(99, 1) |
@ -47,22 +47,22 @@ taos> select ROUND(99, 1)
taos> select ROUND(111.1111)
round(111.1111) |
============================
111.000000000000000 |
111 |
taos> select ROUND(111.5111)
round(111.5111) |
============================
112.000000000000000 |
112 |
taos> select ROUND(10.55) + 1
round(10.55) + 1 |
============================
12.000000000000000 |
12 |
taos> select ROUND(10.55, 1) + 1
round(10.55, 1) + 1 |
============================
11.600000000000000 |
11.6 |
taos> select ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(123.123456789, 9), 8), 7), 6), 5), 4))
round(round(round(round(round(round(round(123.123456789, 9), 8), |
@ -77,26 +77,26 @@ taos> select ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(123456789.123456789, -1),
taos> select ROUND(current) from ts_4893.meters order by ts limit 20
round(current) |
=======================
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
10.0000000 |
11.0000000 |
9.0000000 |
11.0000000 |
8.0000000 |
12.0000000 |
9.0000000 |
10.0000000 |
10.0000000 |
10.0000000 |
10.0000000 |
11 |
9 |
10 |
11 |
11 |
9 |
10 |
11 |
11 |
10 |
11 |
9 |
11 |
8 |
12 |
9 |
10 |
10 |
10 |
10 |
taos> select ROUND(87654321.123456789, id) from ts_4893.meters order by ts limit 10
round(87654321.123456789, id) |
@ -115,70 +115,70 @@ taos> select ROUND(87654321.123456789, id) from ts_4893.meters order by ts limit
taos> select ROUND(current, id) from ts_4893.meters order by ts limit 10
round(current, id) |
=======================
11.0000000 |
8.6000004 |
9.8000002 |
11.2329998 |
10.7060003 |
8.5080004 |
9.5959997 |
10.9619999 |
11.2259998 |
10.3369999 |
11 |
8.6 |
9.8 |
11.233 |
10.706 |
8.508 |
9.596 |
10.962 |
11.226 |
10.337 |
taos> select ROUND(current, 1) from ts_4893.meters order by ts limit 10
round(current, 1) |
=======================
10.6999998 |
8.6000004 |
9.8000002 |
11.1999998 |
10.6999998 |
8.5000000 |
9.6000004 |
11.0000000 |
11.1999998 |
10.3000002 |
10.7 |
8.6 |
9.8 |
11.2 |
10.7 |
8.5 |
9.6 |
11 |
11.2 |
10.3 |
taos> select round(10.55, 3)
round(10.55, 3) |
============================
10.550000000000001 |
10.55 |
taos> select round(10.55, 2)
round(10.55, 2) |
============================
10.550000000000001 |
10.55 |
taos> select round(10.55, 1)
round(10.55, 1) |
============================
10.600000000000000 |
10.6 |
taos> select round(10.55, 0)
round(10.55, 0) |
============================
11.000000000000000 |
11 |
taos> select round(10.55)
round(10.55) |
============================
11.000000000000000 |
11 |
taos> select round(10.55, -1)
round(10.55, -1) |
============================
10.000000000000000 |
10 |
taos> select round(10.55, -10)
round(10.55, -10) |
============================
0.000000000000000 |
0 |
taos> select round(-10.55, 1)
round(-10.55, 1) |
============================
-10.600000000000000 |
-10.6 |
taos> select round(99, 1)
round(99, 1) |
@ -188,30 +188,30 @@ taos> select round(99, 1)
taos> select round(current) from ts_4893.d0 order by ts limit 10
round(current) |
=======================
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
10.0000000 |
11 |
9 |
10 |
11 |
11 |
9 |
10 |
11 |
11 |
10 |
taos> select round(current) from ts_4893.meters order by ts limit 10
round(current) |
=======================
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
9.0000000 |
10.0000000 |
11.0000000 |
11.0000000 |
10.0000000 |
11 |
9 |
10 |
11 |
11 |
9 |
10 |
11 |
11 |
10 |
taos> select round(10, null)
round(10, null) |
@ -236,32 +236,32 @@ taos> select round(100)
taos> select round(0.00123, -2)
round(0.00123, -2) |
============================
0.000000000000000 |
0 |
taos> select round(123.456, 0)
round(123.456, 0) |
============================
123.000000000000000 |
123 |
taos> select round(123.456, -5)
round(123.456, -5) |
============================
0.000000000000000 |
0 |
taos> select round(12345.6789, -2)
round(12345.6789, -2) |
============================
12300.000000000000000 |
12300 |
taos> select round(-123.456, 2)
round(-123.456, 2) |
============================
-123.459999999999994 |
-123.46 |
taos> select round(-1234.5678, 2)
round(-1234.5678, 2) |
============================
-1234.569999999999936 |
-1234.57 |
taos> select round(voltage, 0) from ts_4893.meters limit 1
round(voltage, 0) |
@ -271,12 +271,12 @@ taos> select round(voltage, 0) from ts_4893.meters limit 1
taos> select round(current, 1) from ts_4893.meters limit 1
round(current, 1) |
=======================
10.6999998 |
10.7 |
taos> select round(phase, 3) from ts_4893.meters limit 1
round(phase, 3) |
=======================
0.5090000 |
0.509 |
taos> select round(voltage, -1) from ts_4893.meters limit 1
round(voltage, -1) |
@ -296,17 +296,17 @@ taos> select round(abs(voltage), 2) from ts_4893.meters limit 1
taos> select round(pi() * phase, 3) from ts_4893.meters limit 1
round(pi() * phase, 3) |
============================
1.599000000000000 |
1.599 |
taos> select round(sqrt(voltage), 2) from ts_4893.meters limit 1
round(sqrt(voltage), 2) |
============================
14.869999999999999 |
14.87 |
taos> select round(log(current), 2) from ts_4893.meters limit 1
round(log(current), 2) |
============================
2.370000000000000 |
2.37 |
taos> select round(cast(1.0e+400 as float), 0);
round(cast(1.0e+400 as float), 0) |

1 taos> select ROUND(10.55, 3)
2 round(10.55, 3) |
3 ============================
4 10.550000000000001 | 10.55 |
5 taos> select ROUND(10.55, 2)
6 round(10.55, 2) |
7 ============================
8 10.550000000000001 | 10.55 |
9 taos> select ROUND(10.55, 1)
10 round(10.55, 1) |
11 ============================
12 10.600000000000000 | 10.6 |
13 taos> select ROUND(10.55, 0)
14 round(10.55, 0) |
15 ============================
16 11.000000000000000 | 11 |
17 taos> select ROUND(10.55)
18 round(10.55) |
19 ============================
20 11.000000000000000 | 11 |
21 taos> select ROUND(10.55, -1)
22 round(10.55, -1) |
23 ============================
24 10.000000000000000 | 10 |
25 taos> select ROUND(10.55, -10)
26 round(10.55, -10) |
27 ============================
28 0.000000000000000 | 0 |
29 taos> select ROUND(-10.55, 1)
30 round(-10.55, 1) |
31 ============================
32 -10.600000000000000 | -10.6 |
33 taos> select ROUND(99, 1)
34 round(99, 1) |
35 ========================
36 99 |
37 taos> select ROUND(111.1111)
38 round(111.1111) |
39 ============================
40 111.000000000000000 | 111 |
41 taos> select ROUND(111.5111)
42 round(111.5111) |
43 ============================
47 ============================
48 12.000000000000000 | 12 |
49 taos> select ROUND(10.55, 1) + 1
50 round(10.55, 1) + 1 |
51 ============================
52 11.600000000000000 | 11.6 |
53 taos> select ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(123.123456789, 9), 8), 7), 6), 5), 4))
54 round(round(round(round(round(round(round(123.123456789, 9), 8), |
55 ===================================================================
56 1.230000000000000e+02 |
57 taos> select ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(ROUND(123456789.123456789, -1), -2), -3), -4), -5), -6))
58 round(round(round(round(round(round(round(123456789.123456789, - |
59 ===================================================================
60 1.230000000000000e+08 |
61 taos> select ROUND(current) from ts_4893.meters order by ts limit 20
62 round(current) |
63 =======================
64 11.0000000 | 11 |
65 9.0000000 | 9 |
66 10.0000000 | 10 |
67 11.0000000 | 11 |
68 11.0000000 | 11 |
77 8.0000000 | 8 |
78 12.0000000 | 12 |
79 9.0000000 | 9 |
80 10.0000000 | 10 |
81 10.0000000 | 10 |
82 10.0000000 | 10 |
83 10.0000000 | 10 |
84 taos> select ROUND(87654321.123456789, id) from ts_4893.meters order by ts limit 10
85 round(87654321.123456789, id) |
86 ================================
87 8.765432100000000e+07 |
88 8.765432109999999e+07 |
89 8.765432112000000e+07 |
90 8.765432112300000e+07 |
91 8.765432112350000e+07 |
92 8.765432112345999e+07 |
93 8.765432112345700e+07 |
94 8.765432112345681e+07 |
95 8.765432112345679e+07 |
96 8.765432112345679e+07 |
97 taos> select ROUND(current, id) from ts_4893.meters order by ts limit 10
98 round(current, id) |
99 =======================
100 11.0000000 | 11 |
101 8.6000004 | 8.6 |
102 9.8000002 | 9.8 |
115 9.8000002 | 9.8 |
116 11.1999998 | 11.2 |
117 10.6999998 | 10.7 |
118 8.5000000 | 8.5 |
119 9.6000004 | 9.6 |
120 11.0000000 | 11 |
121 11.1999998 | 11.2 |
122 10.3000002 | 10.3 |
123 taos> select round(10.55, 3)
124 round(10.55, 3) |
125 ============================
126 10.550000000000001 | 10.55 |
127 taos> select round(10.55, 2)
128 round(10.55, 2) |
129 ============================
130 10.550000000000001 | 10.55 |
131 taos> select round(10.55, 1)
132 round(10.55, 1) |
133 ============================
134 10.600000000000000 | 10.6 |
135 taos> select round(10.55, 0)
136 round(10.55, 0) |
137 ============================
138 11.000000000000000 | 11 |
139 taos> select round(10.55)
140 round(10.55) |
141 ============================
142 11.000000000000000 | 11 |
143 taos> select round(10.55, -1)
144 round(10.55, -1) |
145 ============================
146 10.000000000000000 | 10 |
147 taos> select round(10.55, -10)
148 round(10.55, -10) |
149 ============================
150 0.000000000000000 | 0 |
151 taos> select round(-10.55, 1)
152 round(-10.55, 1) |
153 ============================
154 -10.600000000000000 | -10.6 |
155 taos> select round(99, 1)
156 round(99, 1) |
157 ========================
158 99 |
159 taos> select round(current) from ts_4893.d0 order by ts limit 10
160 round(current) |
161 =======================
162 11.0000000 | 11 |
163 9.0000000 | 9 |
164 10.0000000 | 10 |
165 11.0000000 | 11 |
166 11.0000000 | 11 |
167 9.0000000 | 9 |
168 10.0000000 | 10 |
169 11.0000000 | 11 |
170 11.0000000 | 11 |
171 10.0000000 | 10 |
172 taos> select round(current) from ts_4893.meters order by ts limit 10
173 round(current) |
174 =======================
175 11.0000000 | 11 |
176 9.0000000 | 9 |
177 10.0000000 | 10 |
178 11.0000000 | 11 |
179 11.0000000 | 11 |
180 9.0000000 | 9 |
181 10.0000000 | 10 |
182 11.0000000 | 11 |
183 11.0000000 | 11 |
184 10.0000000 | 10 |
188 NULL |
189 taos> select round(null, 2)
190 round(null, 2) |
191 ========================
192 NULL |
193 taos> select round(123.456, null)
194 round(123.456, null) |
195 ============================
196 NULL |
197 taos> select round(100)
198 round(100) |
199 ========================
200 100 |
201 taos> select round(0.00123, -2)
202 round(0.00123, -2) |
203 ============================
204 0.000000000000000 | 0 |
205 taos> select round(123.456, 0)
206 round(123.456, 0) |
207 ============================
208 123.000000000000000 | 123 |
209 taos> select round(123.456, -5)
210 round(123.456, -5) |
211 ============================
212 0.000000000000000 | 0 |
213 taos> select round(12345.6789, -2)
214 round(12345.6789, -2) |
215 ============================
216 12300.000000000000000 | 12300 |
217 taos> select round(-123.456, 2)
236 0.5090000 | 0.509 |
237 taos> select round(voltage, -1) from ts_4893.meters limit 1
238 round(voltage, -1) |
239 =====================
240 220 |
241 taos> select round(current * voltage, 2) from ts_4893.meters limit 1
242 round(current * voltage, 2) |
243 ==============================
244 2.353650000000000e+03 |
245 taos> select round(abs(voltage), 2) from ts_4893.meters limit 1
246 round(abs(voltage), 2) |
247 =========================
248 221 |
249 taos> select round(pi() * phase, 3) from ts_4893.meters limit 1
250 round(pi() * phase, 3) |
251 ============================
252 1.599000000000000 | 1.599 |
253 taos> select round(sqrt(voltage), 2) from ts_4893.meters limit 1
254 round(sqrt(voltage), 2) |
255 ============================
256 14.869999999999999 | 14.87 |
257 taos> select round(log(current), 2) from ts_4893.meters limit 1
258 round(log(current), 2) |
259 ============================
260 2.370000000000000 | 2.37 |
261 taos> select round(cast(1.0e+400 as float), 0);
262 round(cast(1.0e+400 as float), 0) |
263 ====================================
264 NULL |
265 taos> select round(cast(1.0e+400 as double), 0);
266 round(cast(1.0e+400 as double), 0) |
267 =====================================
271 ===============================
272 5 |
273 taos> select round(cast(50 as smallint), 1);
274 round(cast(50 as smallint), 1) |
275 =================================
276 50 |
277 taos> select round(cast(500 as int), 1);
278 round(cast(500 as int), 1) |
279 =============================
280 500 |
281 taos> select round(cast(50000 as bigint), 1);
282 round(cast(50000 as bigint), 1) |
296 500 |
297 taos> select round(cast(50000 as bigint unsigned), 1)
298 round(cast(50000 as bigint unsigned), 1) |
299 ===========================================
300 50000 |
301
302
303
304
305
306
307
308
309
310
311
312

118
tests/army/query/function/ans/sign.csv
View File

@ -12,7 +12,7 @@ taos> select SIGN(1)
taos> select SIGN(1.5)
sign(1.5) |
============================
1.000000000000000 |
1 |
taos> select SIGN(100)
sign(100) |
@ -27,7 +27,7 @@ taos> select SIGN(-1)
taos> select SIGN(-1.5)
sign(-1.5) |
============================
-1.000000000000000 |
-1 |
taos> select SIGN(-100)
sign(-100) |
@ -37,22 +37,22 @@ taos> select SIGN(-100)
taos> select SIGN(1) + 1
sign(1) + 1 |
============================
2.000000000000000 |
2 |
taos> select SIGN(1) - 1
sign(1) - 1 |
============================
0.000000000000000 |
0 |
taos> select SIGN(1) * 1
sign(1) * 1 |
============================
1.000000000000000 |
1 |
taos> select SIGN(1) / 1
sign(1) / 1 |
============================
1.000000000000000 |
1 |
taos> select SIGN(1) from ts_4893.meters limit 5
sign(1) |
@ -66,60 +66,60 @@ taos> select SIGN(1) from ts_4893.meters limit 5
taos> select SIGN(1) + 1 from ts_4893.meters limit 1
sign(1) + 1 |
============================
2.000000000000000 |
2 |
taos> select SIGN(1) - 1 from ts_4893.meters limit 1
sign(1) - 1 |
============================
0.000000000000000 |
0 |
taos> select SIGN(1) * 2 from ts_4893.meters limit 1
sign(1) * 2 |
============================
2.000000000000000 |
2 |
taos> select SIGN(1) / 2 from ts_4893.meters limit 1
sign(1) / 2 |
============================
0.500000000000000 |
0.5 |
taos> select SIGN(2) + SIGN(1) from ts_4893.meters limit 1
sign(2) + sign(1) |
============================
2.000000000000000 |
2 |
taos> select SIGN(2) - SIGN(1) from ts_4893.meters limit 1
sign(2) - sign(1) |
============================
0.000000000000000 |
0 |
taos> select SIGN(2) * SIGN(1) from ts_4893.meters limit 1
sign(2) * sign(1) |
============================
1.000000000000000 |
1 |
taos> select SIGN(2) / SIGN(1) from ts_4893.meters limit 1
sign(2) / sign(1) |
============================
1.000000000000000 |
1 |
taos> select SIGN(1) + id from ts_4893.meters order by ts limit 5
sign(1) + id |
============================
1.000000000000000 |
2.000000000000000 |
3.000000000000000 |
4.000000000000000 |
5.000000000000000 |
1 |
2 |
3 |
4 |
5 |
taos> select SIGN(id) + id from ts_4893.meters order by ts limit 5
sign(id) + id |
============================
0.000000000000000 |
2.000000000000000 |
3.000000000000000 |
4.000000000000000 |
5.000000000000000 |
0 |
2 |
3 |
4 |
5 |
taos> select sign(cast(1 as tinyint))
sign(cast(1 as tinyint)) |
@ -169,7 +169,7 @@ taos> select sign(cast(1 as float))
taos> select sign(cast(1 as double))
sign(cast(1 as double)) |
============================
1.000000000000000 |
1 |
taos> select sign(cast(NULL as tinyint))
sign(cast(null as tinyint)) |
@ -239,12 +239,12 @@ taos> select abs(SIGN(10))
taos> select pow(SIGN(10), 2)
pow(sign(10), 2) |
============================
1.000000000000000 |
1 |
taos> select sqrt(SIGN(10))
sqrt(sign(10)) |
============================
1.000000000000000 |
1 |
taos> select cast(SIGN(10) as int)
cast(sign(10) as int) |
@ -254,11 +254,11 @@ taos> select cast(SIGN(10) as int)
taos> select SIGN(sqrt(id)) from ts_4893.meters order by ts limit 5
sign(sqrt(id)) |
============================
0.000000000000000 |
1.000000000000000 |
1.000000000000000 |
1.000000000000000 |
1.000000000000000 |
0 |
1 |
1 |
1 |
1 |
taos> select SIGN(SIGN(SIGN(SIGN(0))))
sign(sign(sign(sign(0)))) |
@ -288,30 +288,30 @@ taos> select sign(-10)
taos> select sign(current) from ts_4893.d0 order by ts limit 10
sign(current) |
=======================
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
taos> select sign(current) from ts_4893.meters order by ts limit 10
sign(current) |
=======================
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1.0000000 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
taos> select sign(cast(current as float)) from ts_4893.d0 order by ts limit 10
sign(cast(current as float)) |
@ -359,17 +359,17 @@ taos> select sign(-10)
taos> select sign(0.1)
sign(0.1) |
============================
1.000000000000000 |
1 |
taos> select sign(-0.1)
sign(-0.1) |
============================
-1.000000000000000 |
-1 |
taos> select sign(current) from ts_4893.meters limit 1
sign(current) |
=======================
1.0000000 |
1 |
taos> select sign(voltage) from ts_4893.meters limit 1
sign(voltage) |
@ -379,7 +379,7 @@ taos> select sign(voltage) from ts_4893.meters limit 1
taos> select sign(phase) from ts_4893.meters limit 1
sign(phase) |
=======================
1.0000000 |
1 |
taos> select sign(abs(voltage)) from ts_4893.meters limit 1
sign(abs(voltage)) |
@ -389,15 +389,15 @@ taos> select sign(abs(voltage)) from ts_4893.meters limit 1
taos> select sign(round(current)) from ts_4893.meters limit 1
sign(round(current)) |
=======================
1.0000000 |
1 |
taos> select sign(sqrt(voltage)) from ts_4893.meters limit 1
sign(sqrt(voltage)) |
============================
1.000000000000000 |
1 |
taos> select sign(log(current + 1)) from ts_4893.meters limit 1
sign(log(current + 1)) |
============================
1.000000000000000 |
1 |

Can't render this file because it has a wrong number of fields in line 239.

66
tests/army/query/function/ans/stddev.csv
View File

@ -2,7 +2,7 @@
taos> select STDDEV(current) from ts_4893.meters
stddev(current) |
============================
1.154339668872967 |
1.15433966887297 |
taos> select STDDEV(current) from ts_4893.meters interval(1d) order by 1 limit 10
stddev(current) |
@ -21,40 +21,40 @@ taos> select STDDEV(current) from ts_4893.meters interval(1d) order by 1 limit 1
taos> select STDDEV(id) from ts_4893.meters
stddev(id) |
============================
2886.751331514371941 |
2886.75133151437 |
taos> select STDDEV(id) from ts_4893.meters interval(1d) limit 10
stddev(id) |
============================
4.609772228646444 |
8.366600265340756 |
8.366600265340756 |
8.366600265340756 |
8.366600265340756 |
8.077747210701755 |
8.366600265340756 |
8.366600265340756 |
8.366600265340756 |
8.366600265340756 |
4.60977222864644 |
8.36660026534076 |
8.36660026534076 |
8.36660026534076 |
8.36660026534076 |
8.07774721070176 |
8.36660026534076 |
8.36660026534076 |
8.36660026534076 |
8.36660026534076 |
taos> select STDDEV(id) from ts_4893.meters where id > 100
stddev(id) |
============================
2857.595142773027419 |
2857.59514277303 |
taos> select STDDEV(id) from ts_4893.meters interval(1d) order by 1 limit 10
stddev(id) |
============================
4.609772228646444 |
5.477225575051661 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
8.077747210701755 |
4.60977222864644 |
5.47722557505166 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
8.07774721070176 |
taos> select stddev_pop(null) from ts_4893.meters
stddev_pop(null) |
@ -64,32 +64,32 @@ taos> select stddev_pop(null) from ts_4893.meters
taos> select stddev_pop(id) from ts_4893.d0
stddev_pop(id) |
============================
2886.751331514371941 |
2886.75133151437 |
taos> select stddev_pop(id) from ts_4893.meters
stddev_pop(id) |
============================
2886.751331514371941 |
2886.75133151437 |
taos> select stddev_pop(current) from ts_4893.d0
stddev_pop(current) |
============================
1.154339668872967 |
1.15433966887297 |
taos> select stddev_pop(current) from ts_4893.meters
stddev_pop(current) |
============================
1.154339668872967 |
1.15433966887297 |
taos> select stddev_pop(voltage) from ts_4893.meters
stddev_pop(voltage) |
============================
2.876459705957324 |
2.87645970595732 |
taos> select stddev_pop(voltage) from ts_4893.meters where voltage is not null
stddev_pop(voltage) |
============================
2.876459705957324 |
2.87645970595732 |
taos> select stddev_pop(phase) from ts_4893.meters
stddev_pop(phase) |
@ -104,7 +104,7 @@ taos> select stddev_pop(phase) from ts_4893.meters where ts between '2023-01-01
taos> select stddev_pop(total_voltage) from (select sum(voltage) as total_voltage from ts_4893.meters group by location)
stddev_pop(total_voltage) |
============================
0.000000000000000 |
0 |
taos> select round(stddev_pop(current), 2) from ts_4893.meters
round(stddev_pop(current), 2) |
@ -124,15 +124,15 @@ taos> select log(stddev_pop(voltage) + 1) from ts_4893.meters
taos> select groupid, stddev_pop(voltage) from ts_4893.meters group by groupid order by groupid
groupid | stddev_pop(voltage) |
======================================
1 | 2.876459705957324 |
1 | 2.87645970595732 |
taos> select location, stddev_pop(current) from ts_4893.meters group by location order by location
location | stddev_pop(current) |
=================================================
beijing | 1.154339668872967 |
beijing | 1.15433966887297 |
taos> select location, stddev_pop(voltage) from ts_4893.meters group by location order by location
location | stddev_pop(voltage) |
=================================================
beijing | 2.876459705957324 |
beijing | 2.87645970595732 |

Can't render this file because it has a wrong number of fields in line 109.

4
tests/army/query/function/ans/sum.csv
View File

@ -47,10 +47,10 @@ taos> select sum(cast(10000000000 as bigint unsigned))
taos> select sum(cast(1.1 as float))
sum(cast(1.1 as float)) |
============================
1.100000023841858 |
1.10000002384186 |
taos> select sum(cast(1.1 as double))
sum(cast(1.1 as double)) |
============================
1.100000000000000 |
1.1 |

1 taos> select sum(1)
47
48
49
50
51
52
53
54
55
56

162
tests/army/query/function/ans/trunc.csv
View File

@ -2,37 +2,37 @@
taos> select TRUNCATE(10.55, 3)
truncate(10.55, 3) |
============================
10.550000000000001 |
10.55 |
taos> select TRUNCATE(10.55, 2)
truncate(10.55, 2) |
============================
10.550000000000001 |
10.55 |
taos> select TRUNCATE(10.55, 1)
truncate(10.55, 1) |
============================
10.500000000000000 |
10.5 |
taos> select TRUNCATE(10.55, 0)
truncate(10.55, 0) |
============================
10.000000000000000 |
10 |
taos> select TRUNCATE(10.55, -1)
truncate(10.55, -1) |
============================
10.000000000000000 |
10 |
taos> select TRUNCATE(10.55, -10)
truncate(10.55, -10) |
============================
0.000000000000000 |
0 |
taos> select TRUNCATE(-10.55, 1)
truncate(-10.55, 1) |
============================
-10.500000000000000 |
-10.5 |
taos> select TRUNCATE(99, 1)
truncate(99, 1) |
@ -42,7 +42,7 @@ taos> select TRUNCATE(99, 1)
taos> select TRUNCATE(10.55, 1) + 1
truncate(10.55, 1) + 1 |
============================
11.500000000000000 |
11.5 |
taos> select TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(123.123456789, 9), 8), 7), 6), 5), 4), 3)
truncate(truncate(truncate(truncate(truncate(truncate(truncate(1 |
@ -85,51 +85,51 @@ taos> select TRUNCATE(current, id) from ts_4893.meters order by ts limit 10
taos> select TRUNCATE(current, 1) from ts_4893.meters order by ts limit 10
truncate(current, 1) |
=======================
10.6000004 |
8.5000000 |
9.6999998 |
11.1999998 |
10.6999998 |
8.5000000 |
9.5000000 |
10.8999996 |
11.1999998 |
10.3000002 |
10.6 |
8.5 |
9.7 |
11.2 |
10.7 |
8.5 |
9.5 |
10.9 |
11.2 |
10.3 |
taos> select TRUNC(10.55, 3)
trunc(10.55, 3) |
============================
10.550000000000001 |
10.55 |
taos> select TRUNC(10.55, 2)
trunc(10.55, 2) |
============================
10.550000000000001 |
10.55 |
taos> select TRUNC(10.55, 1)
trunc(10.55, 1) |
============================
10.500000000000000 |
10.5 |
taos> select TRUNC(10.55, 0)
trunc(10.55, 0) |
============================
10.000000000000000 |
10 |
taos> select TRUNC(10.55, -1)
trunc(10.55, -1) |
============================
10.000000000000000 |
10 |
taos> select TRUNC(10.55, -10)
trunc(10.55, -10) |
============================
0.000000000000000 |
0 |
taos> select TRUNC(-10.55, 1)
trunc(-10.55, 1) |
============================
-10.500000000000000 |
-10.5 |
taos> select TRUNC(99, 1)
trunc(99, 1) |
@ -139,7 +139,7 @@ taos> select TRUNC(99, 1)
taos> select TRUNC(10.55, 1) + 1
trunc(10.55, 1) + 1 |
============================
11.500000000000000 |
11.5 |
taos> select TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(123.123456789, 9), 8), 7), 6), 5), 4), 3)
trunc(trunc(trunc(trunc(trunc(trunc(trunc(123.123456789, 9), 8), |
@ -168,60 +168,60 @@ taos> select TRUNC(87654321.123456789, id) from ts_4893.meters order by ts limit
taos> select TRUNC(current, id) from ts_4893.meters order by ts limit 10
trunc(current, id) |
=======================
10.0000000 |
8.5000000 |
9.7900000 |
11.2329998 |
10.7060003 |
8.5080004 |
9.5959997 |
10.9619999 |
11.2259998 |
10.3369999 |
10 |
8.5 |
9.79 |
11.233 |
10.706 |
8.508 |
9.596 |
10.962 |
11.226 |
10.337 |
taos> select TRUNC(current, 1) from ts_4893.meters order by ts limit 10
trunc(current, 1) |
=======================
10.6000004 |
8.5000000 |
9.6999998 |
11.1999998 |
10.6999998 |
8.5000000 |
9.5000000 |
10.8999996 |
11.1999998 |
10.3000002 |
10.6 |
8.5 |
9.7 |
11.2 |
10.7 |
8.5 |
9.5 |
10.9 |
11.2 |
10.3 |
taos> select truncate(99.99, 3)
truncate(99.99, 3) |
============================
99.989999999999995 |
99.99 |
taos> select truncate(99.99, 2)
truncate(99.99, 2) |
============================
99.989999999999995 |
99.99 |
taos> select truncate(99.99, 1)
truncate(99.99, 1) |
============================
99.900000000000006 |
99.9 |
taos> select truncate(99.99, 0)
truncate(99.99, 0) |
============================
99.000000000000000 |
99 |
taos> select truncate(99.99, -1)
truncate(99.99, -1) |
============================
90.000000000000000 |
90 |
taos> select truncate(99.99, -10)
truncate(99.99, -10) |
============================
0.000000000000000 |
0 |
taos> select truncate(99, 1)
truncate(99, 1) |
@ -231,30 +231,30 @@ taos> select truncate(99, 1)
taos> select truncate(current, 1) from ts_4893.d0 order by ts limit 10
truncate(current, 1) |
=======================
10.6000004 |
8.5000000 |
9.6999998 |
11.1999998 |
10.6999998 |
8.5000000 |
9.5000000 |
10.8999996 |
11.1999998 |
10.3000002 |
10.6 |
8.5 |
9.7 |
11.2 |
10.7 |
8.5 |
9.5 |
10.9 |
11.2 |
10.3 |
taos> select truncate(current, 1) from ts_4893.meters order by ts limit 10
truncate(current, 1) |
=======================
10.6000004 |
8.5000000 |
9.6999998 |
11.1999998 |
10.6999998 |
8.5000000 |
9.5000000 |
10.8999996 |
11.1999998 |
10.3000002 |
10.6 |
8.5 |
9.7 |
11.2 |
10.7 |
8.5 |
9.5 |
10.9 |
11.2 |
10.3 |
taos> select truncate(99.99, null)
truncate(99.99, null) |
@ -269,22 +269,22 @@ taos> select truncate(null, 3)
taos> select truncate(1.0001, 3)
truncate(1.0001, 3) |
============================
1.000000000000000 |
1 |
taos> select truncate(2.71828, 4)
truncate(2.71828, 4) |
============================
2.718200000000000 |
2.7182 |
taos> select truncate(3.14159, 2)
truncate(3.14159, 2) |
============================
3.140000000000000 |
3.14 |
taos> select truncate(100.9876, 2)
truncate(100.9876, 2) |
============================
100.980000000000004 |
100.98 |
taos> select truncate(99999999999999.9999, 2)
truncate(99999999999999.9999, 2) |
@ -294,7 +294,7 @@ taos> select truncate(99999999999999.9999, 2)
taos> select truncate(-5.678, 2)
truncate(-5.678, 2) |
============================
-5.670000000000000 |
-5.67 |
taos> select truncate(voltage, 2) from ts_4893.meters limit 1
truncate(voltage, 2) |
@ -304,12 +304,12 @@ taos> select truncate(voltage, 2) from ts_4893.meters limit 1
taos> select truncate(current, 1) from ts_4893.meters limit 1
truncate(current, 1) |
=======================
10.6000004 |
10.6 |
taos> select truncate(phase, 3) from ts_4893.meters limit 1
truncate(phase, 3) |
=======================
0.5080000 |
0.508 |
taos> select truncate(voltage + current, 2) from ts_4893.meters limit 1
truncate(voltage + current, 2) |
@ -334,10 +334,10 @@ taos> select truncate(abs(current), 1) from ts_4893.meters limit 1
taos> select truncate(exp(phase), 2) from ts_4893.meters limit 1
truncate(exp(phase), 2) |
============================
1.660000000000000 |
1.66 |
taos> select truncate(log(current), 1) from ts_4893.meters limit 1
truncate(log(current), 1) |
============================
2.300000000000000 |
2.3 |

1 taos> select TRUNCATE(10.55, 3)
2 truncate(10.55, 3) |
3 ============================
4 10.550000000000001 | 10.55 |
5 taos> select TRUNCATE(10.55, 2)
6 truncate(10.55, 2) |
7 ============================
8 10.550000000000001 | 10.55 |
9 taos> select TRUNCATE(10.55, 1)
10 truncate(10.55, 1) |
11 ============================
12 10.500000000000000 | 10.5 |
13 taos> select TRUNCATE(10.55, 0)
14 truncate(10.55, 0) |
15 ============================
16 10.000000000000000 | 10 |
17 taos> select TRUNCATE(10.55, -1)
18 truncate(10.55, -1) |
19 ============================
20 10.000000000000000 | 10 |
21 taos> select TRUNCATE(10.55, -10)
22 truncate(10.55, -10) |
23 ============================
24 0.000000000000000 | 0 |
25 taos> select TRUNCATE(-10.55, 1)
26 truncate(-10.55, 1) |
27 ============================
28 -10.500000000000000 | -10.5 |
29 taos> select TRUNCATE(99, 1)
30 truncate(99, 1) |
31 ========================
32 99 |
33 taos> select TRUNCATE(10.55, 1) + 1
34 truncate(10.55, 1) + 1 |
35 ============================
36 11.500000000000000 | 11.5 |
37 taos> select TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(TRUNCATE(123.123456789, 9), 8), 7), 6), 5), 4), 3)
38 truncate(truncate(truncate(truncate(truncate(truncate(truncate(1 |
42 truncate(truncate(truncate(truncate(truncate(truncate(truncate(1 |
43 ===================================================================
44 1.200000000000000e+08 |
45 taos> select TRUNCATE(87654321.123456789, id) from ts_4893.meters order by ts limit 10
46 truncate(87654321.123456789, id) |
47 ===================================
48 8.765432100000000e+07 |
85 trunc(10.55, 3) |
86 ============================
87 10.550000000000001 | 10.55 |
88 taos> select TRUNC(10.55, 2)
89 trunc(10.55, 2) |
90 ============================
91 10.550000000000001 | 10.55 |
92 taos> select TRUNC(10.55, 1)
93 trunc(10.55, 1) |
94 ============================
95 10.500000000000000 | 10.5 |
96 taos> select TRUNC(10.55, 0)
97 trunc(10.55, 0) |
98 ============================
99 10.000000000000000 | 10 |
100 taos> select TRUNC(10.55, -1)
101 trunc(10.55, -1) |
102 ============================
103 10.000000000000000 | 10 |
104 taos> select TRUNC(10.55, -10)
105 trunc(10.55, -10) |
106 ============================
107 0.000000000000000 | 0 |
108 taos> select TRUNC(-10.55, 1)
109 trunc(-10.55, 1) |
110 ============================
111 -10.500000000000000 | -10.5 |
112 taos> select TRUNC(99, 1)
113 trunc(99, 1) |
114 ========================
115 99 |
116 taos> select TRUNC(10.55, 1) + 1
117 trunc(10.55, 1) + 1 |
118 ============================
119 11.500000000000000 | 11.5 |
120 taos> select TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(123.123456789, 9), 8), 7), 6), 5), 4), 3)
121 trunc(trunc(trunc(trunc(trunc(trunc(trunc(123.123456789, 9), 8), |
122 ===================================================================
123 1.231230000000000e+02 |
124 taos> select TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(TRUNC(123456789.123456789, -1), -2), -3), -4), -5), -6), -7)
125 trunc(trunc(trunc(trunc(trunc(trunc(trunc(123456789.123456789, - |
126 ===================================================================
127 1.200000000000000e+08 |
128 taos> select TRUNC(87654321.123456789, id) from ts_4893.meters order by ts limit 10
129 trunc(87654321.123456789, id) |
130 ================================
131 8.765432100000000e+07 |
132 8.765432109999999e+07 |
133 8.765432112000000e+07 |
134 8.765432112300000e+07 |
135 8.765432112340000e+07 |
139 8.765432112345679e+07 |
140 8.765432112345679e+07 |
141 taos> select TRUNC(current, id) from ts_4893.meters order by ts limit 10
142 trunc(current, id) |
143 =======================
144 10.0000000 | 10 |
145 8.5000000 | 8.5 |
168 truncate(99.99, 3) |
169 ============================
170 99.989999999999995 | 99.99 |
171 taos> select truncate(99.99, 2)
172 truncate(99.99, 2) |
173 ============================
174 99.989999999999995 | 99.99 |
175 taos> select truncate(99.99, 1)
176 truncate(99.99, 1) |
177 ============================
178 99.900000000000006 | 99.9 |
179 taos> select truncate(99.99, 0)
180 truncate(99.99, 0) |
181 ============================
182 99.000000000000000 | 99 |
183 taos> select truncate(99.99, -1)
184 truncate(99.99, -1) |
185 ============================
186 90.000000000000000 | 90 |
187 taos> select truncate(99.99, -10)
188 truncate(99.99, -10) |
189 ============================
190 0.000000000000000 | 0 |
191 taos> select truncate(99, 1)
192 truncate(99, 1) |
193 ========================
194 99 |
195 taos> select truncate(current, 1) from ts_4893.d0 order by ts limit 10
196 truncate(current, 1) |
197 =======================
198 10.6000004 | 10.6 |
199 8.5000000 | 8.5 |
200 9.6999998 | 9.7 |
201 11.1999998 | 11.2 |
202 10.6999998 | 10.7 |
203 8.5000000 | 8.5 |
204 9.5000000 | 9.5 |
205 10.8999996 | 10.9 |
206 11.1999998 | 11.2 |
207 10.3000002 | 10.3 |
208 taos> select truncate(current, 1) from ts_4893.meters order by ts limit 10
209 truncate(current, 1) |
210 =======================
211 10.6000004 | 10.6 |
212 8.5000000 | 8.5 |
213 9.6999998 | 9.7 |
214 11.1999998 | 11.2 |
215 10.6999998 | 10.7 |
216 8.5000000 | 8.5 |
217 9.5000000 | 9.5 |
218 10.8999996 | 10.9 |
219 11.1999998 | 11.2 |
220 10.3000002 | 10.3 |
221 taos> select truncate(99.99, null)
222 truncate(99.99, null) |
223 ============================
224 NULL |
225 taos> select truncate(null, 3)
226 truncate(null, 3) |
227 ====================
231 ============================
232 1.000000000000000 | 1 |
233 taos> select truncate(2.71828, 4)
234 truncate(2.71828, 4) |
235 ============================
236 2.718200000000000 | 2.7182 |
237 taos> select truncate(3.14159, 2)
238 truncate(3.14159, 2) |
239 ============================
240 3.140000000000000 | 3.14 |
241 taos> select truncate(100.9876, 2)
242 truncate(100.9876, 2) |
243 ============================
244 100.980000000000004 | 100.98 |
245 taos> select truncate(99999999999999.9999, 2)
246 truncate(99999999999999.9999, 2) |
247 ===================================
248 1.000000000000000e+14 |
249 taos> select truncate(-5.678, 2)
250 truncate(-5.678, 2) |
251 ============================
252 -5.670000000000000 | -5.67 |
253 taos> select truncate(voltage, 2) from ts_4893.meters limit 1
254 truncate(voltage, 2) |
255 =======================
256 221 |
257 taos> select truncate(current, 1) from ts_4893.meters limit 1
258 truncate(current, 1) |
259 =======================
260 10.6000004 | 10.6 |
269 taos> select truncate(voltage, -1) from ts_4893.meters limit 1
270 truncate(voltage, -1) |
271 ========================
272 220 |
273 taos> select round(truncate(voltage, 1), 2) from ts_4893.meters limit 1
274 round(truncate(voltage, 1), 2) |
275 =================================
276 221 |
277 taos> select truncate(abs(current), 1) from ts_4893.meters limit 1
278 truncate(abs(current), 1) |
279 ============================
280 1.0600000e+01 |
281 taos> select truncate(exp(phase), 2) from ts_4893.meters limit 1
282 truncate(exp(phase), 2) |
283 ============================
284 1.660000000000000 | 1.66 |
285 taos> select truncate(log(current), 1) from ts_4893.meters limit 1
286 truncate(log(current), 1) |
287 ============================
288 2.300000000000000 | 2.3 |
289
290
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295
296
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72
tests/army/query/function/ans/varpop.csv
View File

@ -2,7 +2,7 @@
taos> select VAR_POP(current) from ts_4893.meters
var_pop(current) |
============================
1.332500071133751 |
1.33250007113375 |
taos> select VAR_POP(current) from ts_4893.meters interval(1d) order by 1 limit 10
var_pop(current) |
@ -14,47 +14,47 @@ taos> select VAR_POP(current) from ts_4893.meters interval(1d) order by 1 limit
0.706550935286586 |
0.713306900568867 |
0.716868311383919 |
0.717430738826280 |
0.71743073882628 |
0.717718552465783 |
0.719483293517456 |
taos> select VAR_POP(id) from ts_4893.meters
var_pop(id) |
============================
8333333.250000000000000 |
8333333.25 |
taos> select VAR_POP(id) from ts_4893.meters interval(1d) limit 10
var_pop(id) |
============================
21.250000000000000 |
70.000000000000000 |
70.000000000000000 |
70.000000000000000 |
70.000000000000000 |
65.250000000000000 |
70.000000000000000 |
70.000000000000000 |
70.000000000000000 |
70.000000000000000 |
21.25 |
70 |
70 |
70 |
70 |
65.25 |
70 |
70 |
70 |
70 |
taos> select VAR_POP(id) from ts_4893.meters where id > 100
var_pop(id) |
============================
8165850.000000000000000 |
8165850 |
taos> select VAR_POP(id) from ts_4893.meters interval(1d) order by 1 limit 10
var_pop(id) |
============================
21.250000000000000 |
30.000000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
65.250000000000000 |
21.25 |
30 |
65.25 |
65.25 |
65.25 |
65.25 |
65.25 |
65.25 |
65.25 |
65.25 |
taos> select var_pop(null) from ts_4893.meters
var_pop(null) |
@ -64,37 +64,37 @@ taos> select var_pop(null) from ts_4893.meters
taos> select var_pop(id) from ts_4893.d0
var_pop(id) |
============================
8333333.250000000000000 |
8333333.25 |
taos> select var_pop(current) from ts_4893.d0
var_pop(current) |
============================
1.332500071133751 |
1.33250007113375 |
taos> select var_pop(voltage) from ts_4893.meters
var_pop(voltage) |
============================
8.274020439996093 |
8.27402043999609 |
taos> select var_pop(voltage) from ts_4893.meters where voltage is not null
var_pop(voltage) |
============================
8.274020439996093 |
8.27402043999609 |
taos> select var_pop(phase) from ts_4893.meters
var_pop(phase) |
============================
0.083287338468169 |
0.0832873384681693 |
taos> select var_pop(phase) from ts_4893.meters where ts between '2023-01-01 00:00:00' and '2023-12-31 23:59:59'
var_pop(phase) |
============================
0.082987411872200 |
0.0829874118722003 |
taos> select var_pop(total_voltage) from (select sum(voltage) as total_voltage from ts_4893.meters group by location)
var_pop(total_voltage) |
============================
0.000000000000000 |
0 |
taos> select round(var_pop(current), 2) from ts_4893.meters
round(var_pop(current), 2) |
@ -104,25 +104,25 @@ taos> select round(var_pop(current), 2) from ts_4893.meters
taos> select pow(var_pop(current), 2) from ts_4893.meters
pow(var_pop(current), 2) |
============================
1.775556439571451 |
1.77555643957145 |
taos> select log(var_pop(voltage) + 1) from ts_4893.meters
log(var_pop(voltage) + 1) |
============================
2.227216989977633 |
2.22721698997763 |
taos> select groupid, var_pop(voltage) from ts_4893.meters group by groupid order by groupid
groupid | var_pop(voltage) |
======================================
1 | 8.274020439996093 |
1 | 8.27402043999609 |
taos> select location, var_pop(current) from ts_4893.meters group by location order by location
location | var_pop(current) |
=================================================
beijing | 1.332500071133751 |
beijing | 1.33250007113375 |
taos> select location, var_pop(voltage) from ts_4893.meters group by location order by location
location | var_pop(voltage) |
=================================================
beijing | 8.274020439996093 |
beijing | 8.27402043999609 |

Can't render this file because it has a wrong number of fields in line 99.

16
tests/army/query/function/cast.py
View File

@ -265,8 +265,9 @@ class TDTestCase(TBase):
tdSql.checkData(0, 0, 3.141)
sql = f"select cast({float_1001} as binary(10)) as re;"
tdLog.debug(sql)
tdSql.query(sql)
tdSql.checkData(0, 0, 3.141593)
tdSql.checkData(0, 0, 3.14159265)
tdSql.query(f"select cast({float_1001} as nchar(5));")
tdSql.checkData(0, 0, 3.141)
@ -540,6 +541,18 @@ class TDTestCase(TBase):
tdSql.query(f"select cast({add1}+{test_str} as nchar(2)) re;")
tdSql.checkData(0, 0, "12")
def ts5972(self):
tdSql.execute("CREATE DATABASE IF NOT EXISTS ts5972;")
tdSql.execute("DROP TABLE IF EXISTS ts5972.t1;")
tdSql.execute("DROP TABLE IF EXISTS ts5972.t1;")
tdSql.execute("CREATE TABLE ts5972.t1(time TIMESTAMP, c0 DOUBLE);")
tdSql.execute("INSERT INTO ts5972.t1(time, c0) VALUES (1641024000000, 0.018518518518519), (1641024005000, 0.015151515151515), (1641024010000, 0.1234567891012345);")
tdSql.query("SELECT c0, CAST(c0 AS BINARY(50)) FROM ts5972.t1 WHERE CAST(c0 AS BINARY(50)) != c0;")
tdSql.checkRows(0)
tdSql.query("SELECT c0, CAST(c0 AS BINARY(50)) FROM ts5972.t1 WHERE CAST(c0 AS BINARY(50)) == c0;")
tdSql.checkRows(3)
def cast_without_from(self):
self.cast_from_int_to_other()
@ -556,6 +569,7 @@ class TDTestCase(TBase):
def run(self):
# 'from table' case see system-test/2-query/cast.py
self.cast_without_from()
self.ts5972()
tdLog.success(f"{__file__} successfully executed")

158
tests/army/query/queryBugs.py
View File

@ -170,9 +170,166 @@ class TDTestCase(TBase):
tdSql.checkData(0, 1, 2)
tdSql.checkData(2, 1, 1)
def ts5946(self):
tdLog.info("check bug TD_xx ...\n")
sqls = [
"drop database if exists ctg_tsdb",
"create database ctg_tsdb cachemodel 'both' stt_trigger 1;",
"use ctg_tsdb;",
"CREATE STABLE `stb_sxny_cn` (`dt` TIMESTAMP ENCODE 'delta-i' COMPRESS 'lz4' LEVEL 'medium', \
`val` DOUBLE ENCODE 'delta-d' COMPRESS 'tsz' LEVEL 'medium') TAGS (`point` VARCHAR(50), \
`point_name` VARCHAR(64), `point_path` VARCHAR(2000), `index_name` VARCHAR(64), \
`country_equipment_code` VARCHAR(64), `index_code` VARCHAR(64), `ps_code` VARCHAR(50), \
`cnstationno` VARCHAR(255), `index_level` VARCHAR(10), `cz_flag` VARCHAR(255), \
`blq_flag` VARCHAR(255), `dcc_flag` VARCHAR(255))",
"CREATE STABLE `stb_popo_power_station_all` (`ts` TIMESTAMP ENCODE 'delta-i' COMPRESS 'lz4' LEVEL 'medium', \
`assemble_capacity` DOUBLE ENCODE 'delta-d' COMPRESS 'lz4' LEVEL 'medium', `ps_status` DOUBLE ENCODE \
'delta-d' COMPRESS 'lz4' LEVEL 'medium') TAGS (`ps_type` VARCHAR(255), `ps_type_code` VARCHAR(255), \
`belorg_name` VARCHAR(255), `belorg_code` VARCHAR(255), `country_code` VARCHAR(255), `country_name` \
VARCHAR(255), `area_name` VARCHAR(255), `area_code` VARCHAR(255), `ps_name` VARCHAR(255), `ps_code` \
VARCHAR(255), `ps_aab` VARCHAR(255), `ps_type_sec_lvl` VARCHAR(255), `ps_type_sec_lvl_name` VARCHAR(255), \
`ps_type_name` VARCHAR(255), `longitude` DOUBLE, `latitude` DOUBLE, `is_china` VARCHAR(255), `is_access` \
VARCHAR(255), `first_put_production_date` VARCHAR(255), `all_put_production_date` VARCHAR(255), `merge_date` \
VARCHAR(255), `sold_date` VARCHAR(255), `cap_detail` VARCHAR(500), `ps_unit` VARCHAR(255), `region_name` \
VARCHAR(255))",
]
tdSql.executes(sqls)
ts = 1657146000000
# create subtable and insert data for super table stb_sxny_cn
for i in range(1, 1000):
sql = f"CREATE TABLE `stb_sxny_cn_{i}` USING `stb_sxny_cn` (point, point_name, point_path, index_name, country_equipment_code, \
index_code, ps_code, cnstationno, index_level, cz_flag, blq_flag, dcc_flag) TAGS('point{i}', 'point_name{i}', 'point_path{i}', 'index_name{i}', \
'country_equipment_code{i}', 'index_code{i}', 'ps_code{i%500}', 'cnstationno{i}', '{i}', 'cz_flag{i}', 'blq_flag{i}', 'dcc_flag{i}');"
tdSql.execute(sql)
sql = f"INSERT INTO `stb_sxny_cn_{i}` VALUES "
values = []
for j in range(1, 100):
values.append(f"({ts+(i%5)*86400000 + j}, {i%500 + j/20})")
sql += ", ".join(values)
tdSql.execute(sql)
tdLog.debug(f"create table stb_sxny_cn_{i} and insert data successfully")
# create subtable and insert data for super table stb_popo_power_station_all
for i in range(1, 1000):
sql = f"CREATE TABLE `stb_popo_power_station_all_{i}` USING `stb_popo_power_station_all` (ps_type, ps_type_code, belorg_name, belorg_code, \
country_code, country_name, area_name, area_code, ps_name, ps_code, ps_aab, ps_type_sec_lvl, ps_type_sec_lvl_name, ps_type_name, \
longitude, latitude, is_china, is_access, first_put_production_date, all_put_production_date, merge_date, sold_date, cap_detail, ps_unit, \
region_name) TAGS ('ps_type{i}', 'ps_type_code{i}', 'belorg_name{i}', 'belorg_code{i}', 'country_code{i}', 'country_name{i}', 'area_name{i}', \
'area_code{i}', 'ps_name{i}', 'ps_code{i}', 'ps_aab{i}', 'ps_type_sec_lvl{i}', 'ps_type_sec_lvl_name{i}', 'ps_type_name{i}', {i}, \
{i}, 'is_china{i}', 'is_access{i}', 'first_put_production_date{i}', 'all_put_production_date{i}', 'merge_date{i}', 'sold_date{i}', \
'cap_detail{i}', 'ps_unit{i}', 'region_name{i}');"
tdSql.execute(sql)
sql = f"INSERT INTO `stb_popo_power_station_all_{i}` VALUES "
values = []
for j in range(1, 6):
values.append(f"({ts+(j-1)*86400000}, {i*10 + j%10}, {j})")
sql += ", ".join(values)
tdSql.execute(sql)
tdLog.debug(f"create table stb_popo_power_station_all_{i} and insert data successfully")
for i in range(1, 499, 20):
pscode = f"ps_code{i}"
querySql = f"select t2.ts ,tt.ps_code,t2.ps_code from \
( select TIMETRUNCATE(t1.dt, 1d, 1) dt, t1.ps_code, first(dt) \
from ctg_tsdb.stb_sxny_cn t1 where ps_code<>'0' and dt >= '2022-07-07 00:00:00.000' \
and t1.ps_code='{pscode}' partition by point state_window(cast(val as int)) order by \
TIMETRUNCATE(t1.dt, 1d, 0) ) tt \
left join ctg_tsdb.stb_popo_power_station_all t2 \
on TIMETRUNCATE(tt.dt, 1d, 1)=TIMETRUNCATE(t2.ts, 1d, 1) \
and tt.ps_code = t2.ps_code "
tdSql.query(querySql)
tdSql.checkData(0, 1, pscode)
tdSql.checkData(0, 2, pscode)
tdLog.debug(f"execute sql: {pscode}")
querySql = f"select t2.ts ,tt.ps_code,t2.ps_code from ( select last(t1.dt) dt, t1.ps_code, first(dt) \
from ctg_tsdb.stb_sxny_cn t1 where ps_code<>'0' and dt >= '2022-07-07 00:00:00.000' and \
t1.ps_code='{pscode}' group by tbname order by dt) tt left join \
ctg_tsdb.stb_popo_power_station_all t2 on TIMETRUNCATE(tt.dt, 1d, 1)=TIMETRUNCATE(t2.ts, 1d, 1) \
and tt.ps_code = t2.ps_code"
tdSql.query(querySql)
tdSql.checkData(0, 1, pscode)
tdSql.checkData(0, 2, pscode)
tdLog.debug(f"execute sql: {pscode}")
querySql = f"select t2.ts ,tt.ps_code,t2.ps_code from ( select last(t1.dt) dt, last(ps_code) ps_code \
from ctg_tsdb.stb_sxny_cn t1 where ps_code<>'0' and dt >= '2022-07-07 00:00:00.000' and \
t1.ps_code='{pscode}' order by dt) tt left join ctg_tsdb.stb_popo_power_station_all t2 on \
TIMETRUNCATE(tt.dt, 1d, 1)=TIMETRUNCATE(t2.ts, 1d, 1) and tt.ps_code = t2.ps_code"
tdSql.query(querySql)
tdSql.checkData(0, 1, pscode)
tdSql.checkData(0, 2, pscode)
tdLog.debug(f"execute sql: {pscode}")
querySql = f"select t2.ts ,tt.ps_code,t2.ps_code from ( select _wstart dt, t1.ps_code, first(dt) \
from ctg_tsdb.stb_sxny_cn t1 where ps_code<>'0' and dt >= '2022-07-07 00:00:00.000' and \
t1.ps_code='{pscode}' interval(1m) order by dt) tt left join ctg_tsdb.stb_popo_power_station_all t2 \
on TIMETRUNCATE(tt.dt, 1d, 1)=TIMETRUNCATE(t2.ts, 1d, 1) and tt.ps_code = t2.ps_code"
tdSql.query(querySql)
tdSql.checkData(0, 1, pscode)
tdSql.checkData(0, 2, pscode)
tdLog.debug(f"execute sql: {pscode}")
querySql = f"select t2.ts ,tt.ps_code,t2.ps_code from (select first(dt) dt, t1.ps_code from \
ctg_tsdb.stb_sxny_cn t1 where ps_code<>'0' and dt >= '2022-07-07 00:00:00.000' and t1.ps_code='{pscode}' \
session(dt, 1m) order by dt) tt left join ctg_tsdb.stb_popo_power_station_all t2 on \
TIMETRUNCATE(tt.dt, 1d, 1)=TIMETRUNCATE(t2.ts, 1d, 1) and tt.ps_code = t2.ps_code"
tdSql.query(querySql)
tdSql.checkData(0, 1, pscode)
tdSql.checkData(0, 2, pscode)
tdLog.debug(f"execute sql: {pscode}")
def FIX_TS_5984(self):
tdLog.info("check bug TS_5984 ...\n")
# prepare data
sqls = [
"drop database if exists ts_5984;",
"create database ts_5984 minrows 10;",
"use ts_5984;",
"create table t1 (ts timestamp, str varchar(10) primary key, c1 int);",
"""insert into t1 values
('2025-01-01 00:00:00', 'a', 1),
('2025-01-01 00:00:00', 'b', 2),
('2025-01-01 00:00:00', 'c', 3),
('2025-01-01 00:00:00', 'd', 4),
('2025-01-01 00:00:00', 'e', 5),
('2025-01-01 00:00:00', 'f', 6),
('2025-01-01 00:00:00', 'g', 7),
('2025-01-01 00:00:00', 'h', 8),
('2025-01-01 00:00:00', 'i', 9),
('2025-01-01 00:00:00', 'j', 10),
('2025-01-01 00:00:00', 'k', 11),
('2025-01-01 00:00:00', 'l', 12),
('2025-01-01 00:00:00', 'm', 13),
('2025-01-01 00:00:00', 'n', 14);"""
]
tdSql.executes(sqls)
# do flush and compact
tdSql.execute("flush database ts_5984;")
time.sleep(3)
tdSql.execute("compact database ts_5984;")
while True:
tdSql.query("show compacts;")
# break if no compact task
if tdSql.getRows() == 0:
break
time.sleep(3)
tdSql.query("select * from t1 where ts > '2025-01-01 00:00:00';")
tdSql.checkRows(0)
# run
def run(self):
tdLog.debug(f"start to excute {__file__}")
self.ts5946()
# TD BUGS
self.FIX_TD_30686()
@ -182,6 +339,7 @@ class TDTestCase(TBase):
self.FIX_TS_5105()
self.FIX_TS_5143()
self.FIX_TS_5239()
self.FIX_TS_5984()
tdLog.success(f"{__file__} successfully executed")

10
tests/army/query/test_case_when.py
View File

@ -142,13 +142,14 @@ class TDTestCase(TBase):
assert(tdSql.checkRows(10) and all([item[0] is None for item in tdSql.res]))
tdSql.query("select case when c_float is not null then c_float else c_null end from st1;")
assert(tdSql.checkRows(10) and tdSql.res == [('2.200000',), ('3.300000',), ('4.400000',), ('5.500000',), ('6.600000',), ('7.700000',), ('8.800000',), ('9.900000',), ('10.100000',), (None,)])
assert(tdSql.checkRows(10) and tdSql.res == [('2.2',), ('3.3',), ('4.4',), ('5.5',), ('6.6',), ('7.7',), ('8.8',), ('9.9',), ('10.1',), (None,)])
tdSql.query("select case when c_double is null then c_double else c_null end from st1;")
assert(tdSql.checkRows(10) and all([item[0] is None for item in tdSql.res]))
tdSql.query("select case when c_double is not null then c_double else c_null end from st1;")
assert(tdSql.checkRows(10) and tdSql.res == [('2.220000',), ('3.330000',), ('4.440000',), ('5.550000',), ('6.660000',), ('7.770000',), ('8.880000',), ('9.990000',), ('10.101000',), (None,)])
assert(tdSql.checkRows(10) and tdSql.res == [('2.22',), ('3.33',), ('4.44',), ('5.55',), ('6.66',), ('7.77',), ('8.88',), ('9.99',), ('10.101',), (None,)])
tdSql.query("select case when c_varchar is null then c_varchar else c_null end from st1;")
assert(tdSql.checkRows(10) and all([item[0] is None for item in tdSql.res]))
@ -344,7 +345,8 @@ class TDTestCase(TBase):
assert(tdSql.checkRows(10) and tdSql.res == [('-2147483648',), ('three',), ('4294967295',), ('4294967295',), ('4294967295',), ('4294967295',), ('4294967295',), ('4294967295',), ('4294967295',), ('4294967295',)])
tdSql.query("select case c_float when 2.2 then 9.2233720e+18 when 3.3 then -9.2233720e+18 else 'aa' end from st1;")
assert(tdSql.checkRows(10) and tdSql.res == [('9223372000000000000.000000',), ('-9223372000000000000.000000',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',)])
print(tdSql.res)
assert(tdSql.checkRows(10) and tdSql.res == [('9.223372e+18',), ('-9.223372e+18',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',), ('aa',)])
tdSql.query("select case t1.c_int when 2 then 'run' when t1.c_int is null then 'other' else t2.c_varchar end from st1 t1, st2 t2 where t1.ts=t2.ts;")
print(tdSql.res)

65
tests/develop-test/2-query/show_create_db.py
View File

@ -22,10 +22,37 @@ class TDTestCase:
tdDnodes.startWithoutSleep(index)
tdSql.execute(f"use scd")
def showCreateDbCheck(self, dbname, expectShowCreateDb, maxRetry=30, dropDbAndRecheck=False, dropDbAfterCheck=False):
retry_count = 0
success = False
while retry_count < maxRetry and not success:
try:
tdSql.query(f"show create database {dbname};")
tdSql.checkRows(1)
tdSql.checkData(0, 0, dbname)
tdSql.checkEqual(tdSql.queryResult[0][1], expectShowCreateDb)
tdLog.info(f"check passed after {retry_count} seconds")
success = True
except Exception as e:
retry_count += 1
tdLog.info(f"Attempt to check {retry_count} time(s): show create database {dbname}")
if retry_count >= maxRetry:
raise Exception(repr(e))
time.sleep(1)
if dropDbAndRecheck == True:
tdSql.execute(f"drop database if exists {dbname}")
tdSql.execute(expectShowCreateDb)
tdSql.query(f"show create database {dbname};")
tdSql.checkRows(1)
tdSql.checkData(0, 0, dbname)
tdSql.checkData(0, 1, expectShowCreateDb)
if dropDbAfterCheck == True:
tdSql.execute(f"drop database if exists {dbname}")
def run(self):
print("running {}".format(__file__))
tdSql.execute("drop database if exists scd")
tdSql.execute("create database if not exists scd compact_interval 0")
tdSql.execute("create database if not exists scd compact_interval 0 keep_time_offset 0")
tdSql.execute('use scd')
tdSql.execute('create table stb1 (ts timestamp, c1 bool, c2 tinyint, c3 smallint, c4 int, c5 bigint, c6 float, c7 double, c8 binary(10), c9 nchar(10), c10 tinyint unsigned, c11 smallint unsigned, c12 int unsigned, c13 bigint unsigned) TAGS(t1 int, t2 binary(10), t3 double);')
@ -35,44 +62,24 @@ class TDTestCase:
tdSql.execute("create table tb3 using stb1 tags(3,'3',3.0);")
tdSql.execute('create database scd2 stt_trigger 3 compact_interval 1;')
tdSql.execute('create database scd2 stt_trigger 3 compact_interval 1 keep_time_offset 0h;')
tdSql.execute('create database scd4 stt_trigger 13 compact_interval 12h compact_time_range -60,-10 compact_time_offset 23h;')
tdSql.query('show create database scd;')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd')
tdSql.checkData(0, 1, "CREATE DATABASE `scd` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
self.showCreateDbCheck('scd', "CREATE DATABASE `scd` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
tdSql.query('show create database scd2;')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd2')
tdSql.checkData(0, 1, "CREATE DATABASE `scd2` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 3 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 1d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
tdSql.query('show create database scd4')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd4')
tdSql.checkData(0, 1, "CREATE DATABASE `scd4` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 13 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 12h COMPACT_TIME_RANGE -60d,-10d COMPACT_TIME_OFFSET 23h")
self.showCreateDbCheck('scd2', "CREATE DATABASE `scd2` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 3 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 1d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
self.showCreateDbCheck('scd4', "CREATE DATABASE `scd4` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 13 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 12h COMPACT_TIME_RANGE -60d,-10d COMPACT_TIME_OFFSET 23h")
self.restartTaosd(1, dbname='scd')
tdLog.info("recheck after restart taosd")
self.showCreateDbCheck('scd', "CREATE DATABASE `scd` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h", 30, True, True)
tdSql.query('show create database scd;')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd')
tdSql.checkData(0, 1, "CREATE DATABASE `scd` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
self.showCreateDbCheck('scd2', "CREATE DATABASE `scd2` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 3 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 1d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h", 30, True, True)
tdSql.query('show create database scd2;')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd2')
tdSql.checkData(0, 1, "CREATE DATABASE `scd2` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 3 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 1d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h")
tdSql.query('show create database scd4')
tdSql.checkRows(1)
tdSql.checkData(0, 0, 'scd4')
tdSql.checkData(0, 1, "CREATE DATABASE `scd4` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 13 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0h ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 12h COMPACT_TIME_RANGE -60d,-10d COMPACT_TIME_OFFSET 23h")
self.showCreateDbCheck('scd4', "CREATE DATABASE `scd4` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 13 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 12h COMPACT_TIME_RANGE -60d,-10d COMPACT_TIME_OFFSET 23h", 30, True, True)
tdSql.execute('drop database scd')
def stop(self):
tdSql.close()
tdLog.success("%s successfully executed" % __file__)

23
tests/pytest/util/sql.py
View File

@ -414,6 +414,29 @@ class TDSql:
self.checkRowCol(row, col)
return self.cursor.istype(col, dataType)
def checkFloatString(self, row, col, data, show = False):
if row >= self.queryRows:
caller = inspect.getframeinfo(inspect.stack()[1][0])
args = (caller.filename, caller.lineno, self.sql, row+1, self.queryRows)
tdLog.exit("%s(%d) failed: sql:%s, row:%d is larger than queryRows:%d" % args)
if col >= self.queryCols:
caller = inspect.getframeinfo(inspect.stack()[1][0])
args = (caller.filename, caller.lineno, self.sql, col+1, self.queryCols)
tdLog.exit("%s(%d) failed: sql:%s, col:%d is larger than queryCols:%d" % args)
self.checkRowCol(row, col)
val = float(self.queryResult[row][col])
if abs(data) >= 1 and abs((val - data) / data) <= 0.000001:
if(show):
tdLog.info("check successfully")
elif abs(data) < 1 and abs(val - data) <= 0.000001:
if(show):
tdLog.info("check successfully")
else:
caller = inspect.getframeinfo(inspect.stack()[1][0])
args = (caller.filename, caller.lineno, self.sql, row, col, self.queryResult[row][col], data)
tdLog.exit("%s(%d) failed: sql:%s row:%d col:%d data:%s != expect:%s" % args)
def checkData(self, row, col, data, show = False):
if row >= self.queryRows:

7
tests/script/tsim/join/join_nested.sim
View File

@ -32,6 +32,13 @@ sql select a.t1 from (select * from sta partition by tbname order by ts desc) a
if $rows != 12 then
return -1
endi
sql select a.ts from (select last(tba1.ts) as ts from tba1, tba2 where tba1.ts = tba2.ts) as a join (select ts from tba2) as tba2 on a.ts = tba2.ts;
if $rows != 1 then
return -1
endi
if $data00 != @23-11-17 16:29:03.000@ then
return -1
endi
#left join + non join
sql_error select a.*,b.* from (select * from sta partition by tbname) a left join (select * from sta partition by tbname order by ts) b on a.ts = b.ts;

22
tests/script/tsim/scalar/caseWhen.sim
View File

@ -397,7 +397,7 @@ sql select case when f1 then f1 when f1 + 1 then f1 + 1 else f1 is null end from
if $rows != 4 then
return -1
endi
if $data00 != 1.000000 then
if $data00 != 1 then
return -1
endi
if $data10 != 1 then
@ -659,10 +659,10 @@ endi
if $data00 != 0 then
return -1
endi
if $data10 != 10.000000 then
if $data10 != 10 then
return -1
endi
if $data20 != 50.000000 then
if $data20 != 50 then
return -1
endi
if $data30 != -1 then
@ -889,19 +889,19 @@ endi
if $data10 != 0 then
return -1
endi
if $data11 != -99.000000 then
if $data11 != -99 then
return -1
endi
if $data20 != 1 then
return -1
endi
if $data21 != 100.000000 then
if $data21 != 100 then
return -1
endi
if $data30 != 5 then
return -1
endi
if $data31 != -94.000000 then
if $data31 != -94 then
return -1
endi
@ -1028,7 +1028,7 @@ endi
if $data00 != NULL then
return -1
endi
if $data10 != -99.000000 then
if $data10 != -99 then
return -1
endi
if $data20 != 1 then
@ -1051,10 +1051,10 @@ endi
if $data21 != NULL then
return -1
endi
if $data31 != 101.000000 then
if $data31 != 101 then
return -1
endi
if $data41 != 103.000000 then
if $data41 != 103 then
return -1
endi
@ -1071,7 +1071,7 @@ sql select case when c_int > 100 then c_float else c_int end as result from t_te
if $rows != 1 then
return -1
endi
if $data00 != 123.449997 then
if $data00 != 123.45 then
return -1
endi
@ -1079,7 +1079,7 @@ sql select case when c_bigint > 100000 then c_double else c_bigint end as result
if $rows != 1 then
return -1
endi
if $data00 != 678.900000 then
if $data00 != 678.9 then
return -1
endi

2
tests/script/tsim/show/basic.sim
View File

@ -230,7 +230,7 @@ endi
sql_error show create stable t0;
sql show variables;
if $rows != 93 then
if $rows != 88 then
return -1
endi

2
tests/script/tsim/stream/streamTwaInterpFwc.sim
View File

@ -435,7 +435,7 @@ if $data01 != @t12@ then
return -1
endi
if $data03 != @100000.000@ then
if $data03 != @100000@ then
return -1
endi

2
tests/script/tsim/valgrind/checkError1.sim
View File

@ -120,7 +120,7 @@ if $rows != 3 then
endi
sql show variables;
if $rows != 93 then
if $rows != 88 then
return -1
endi

48
tests/system-test/1-insert/alter_database.py
View File

@ -98,13 +98,61 @@ class TDTestCase:
tdSql.query(option_sql)
index += 1
tdSql.execute('drop database db')
def showCreateDbCheck(self, dbname, expectShowCreateDb, maxRetry=30, dropDbAndRecheck=False, dropDbAfterCheck=False):
retry_count = 0
success = False
while retry_count < maxRetry and not success:
try:
tdSql.query(f"show create database {dbname};")
tdSql.checkRows(1)
tdSql.checkData(0, 0, dbname)
tdSql.checkEqual(tdSql.queryResult[0][1], expectShowCreateDb)
tdLog.info(f"check passed after {retry_count} seconds")
success = True
except Exception as e:
retry_count += 1
tdLog.info(f"Attempt to check {retry_count} time(s): show create database {dbname}")
if retry_count >= maxRetry:
raise Exception(repr(e))
time.sleep(1)
if dropDbAndRecheck == True:
tdSql.execute(f"drop database if exists {dbname}")
tdSql.execute(expectShowCreateDb)
tdSql.query(f"show create database {dbname};")
tdSql.checkRows(1)
tdSql.checkData(0, 0, dbname)
tdSql.checkData(0, 1, expectShowCreateDb)
if dropDbAfterCheck == True:
tdSql.execute(f"drop database if exists {dbname}")
def alter_keep_time_offset(self):
tdSql.execute('drop database if exists db')
tdSql.checkEqual("Invalid option keep_time_offset unit: d, only h allowed", tdSql.error('create database db keep_time_offset 0d'))
tdSql.checkEqual("syntax error near \"-1\"", tdSql.error('create database db keep_time_offset -1'))
tdSql.checkEqual("syntax error near \"-100h\"", tdSql.error('create database db keep_time_offset -100h'))
tdSql.checkEqual("Invalid option keep_time_offset: 24 valid range: [0, 23]", tdSql.error('create database db keep_time_offset 24h'))
tdSql.execute('create database db keep_time_offset 20h')
self.showCreateDbCheck('db', "CREATE DATABASE `db` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 20 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h", 30, True, False)
tdSql.checkEqual("Invalid option keep_time_offset unit: d, only h allowed", tdSql.error('alter database db keep_time_offset 0d'))
tdSql.checkEqual("syntax error near \"-1\"", tdSql.error('alter database db keep_time_offset -1'))
tdSql.checkEqual("syntax error near \"-100h\"", tdSql.error('alter database db keep_time_offset -100h'))
tdSql.checkEqual("Invalid option keep_time_offset: 24 valid range: [0, 23]", tdSql.error('alter database db keep_time_offset 24h'))
tdLog.info('alter database db keep_time_offset 23h')
tdSql.execute('alter database db keep_time_offset 23h')
self.showCreateDbCheck('db', "CREATE DATABASE `db` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 23 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h", 30, True, False)
tdLog.info('alter database db keep_time_offset 0')
tdSql.execute('alter database db keep_time_offset 0')
self.showCreateDbCheck('db', "CREATE DATABASE `db` BUFFER 256 CACHESIZE 1 CACHEMODEL 'none' COMP 2 DURATION 10d WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 2 KEEP 3650d,3650d,3650d PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 1 WAL_LEVEL 1 VGROUPS 2 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0 ENCRYPT_ALGORITHM 'none' S3_CHUNKPAGES 131072 S3_KEEPLOCAL 525600m S3_COMPACT 1 COMPACT_INTERVAL 0d COMPACT_TIME_RANGE 0d,0d COMPACT_TIME_OFFSET 0h", 30, True, True)
def run(self):
self.alter_buffer()
self.alter_pages()
self.alter_encrypt_alrogithm()
self.alter_same_options()
self.alter_keep_time_offset()
def stop(self):
tdSql.close()

24
tests/system-test/2-query/cast.py
View File

@ -305,30 +305,30 @@ class TDTestCase:
tdLog.printNoPrefix("==========step21: cast float to binary, expect changes to str(int) ")
tdSql.query(f"select cast(c5 as binary(32)) as b from {self.dbname}.ct4")
for i in range(len(data_ct4_c5)):
tdSql.checkData( i, 0, str(data_ct4_c5[i]) ) if data_ct4_c5[i] is None else tdSql.checkData( i, 0, f'{data_ct4_c5[i]:.6f}' )
tdSql.checkData( i, 0, str(data_ct4_c5[i]) ) if data_ct4_c5[i] is None else tdSql.checkFloatString( i, 0, data_ct4_c5[i])
tdSql.query(f"select cast(c5 as binary(32)) as b from {self.dbname}.t1")
for i in range(len(data_t1_c5)):
tdSql.checkData( i, 0, str(data_t1_c5[i]) ) if data_t1_c5[i] is None else tdSql.checkData( i, 0, f'{data_t1_c5[i]:.6f}' )
tdSql.checkData( i, 0, str(data_t1_c5[i]) ) if data_t1_c5[i] is None else tdSql.checkFloatString( i, 0, data_t1_c5[i])
tdSql.query(f"select cast(c5 as binary) as b from {self.dbname}.ct4")
for i in range(len(data_ct4_c5)):
tdSql.checkData( i, 0, str(data_ct4_c5[i]) ) if data_ct4_c5[i] is None else tdSql.checkData( i, 0, f'{data_ct4_c5[i]:.6f}' )
tdSql.checkData( i, 0, str(data_ct4_c5[i]) ) if data_ct4_c5[i] is None else tdSql.checkFloatString( i, 0, data_ct4_c5[i])
tdSql.query(f"select cast(c5 as binary) as b from {self.dbname}.t1")
for i in range(len(data_t1_c5)):
tdSql.checkData( i, 0, str(data_t1_c5[i]) ) if data_t1_c5[i] is None else tdSql.checkData( i, 0, f'{data_t1_c5[i]:.6f}' )
tdSql.checkData( i, 0, str(data_t1_c5[i]) ) if data_t1_c5[i] is None else tdSql.checkFloatString( i, 0, data_t1_c5[i])
tdLog.printNoPrefix("==========step22: cast float to nchar, expect changes to str(int) ")
tdSql.query(f"select cast(c5 as nchar(32)) as b from {self.dbname}.ct4")
for i in range(len(data_ct4_c5)):
tdSql.checkData( i, 0, None ) if data_ct4_c5[i] is None else tdSql.checkData( i, 0, f'{data_ct4_c5[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_ct4_c5[i] is None else tdSql.checkFloatString( i, 0, data_ct4_c5[i])
tdSql.query(f"select cast(c5 as nchar(32)) as b from {self.dbname}.t1")
for i in range(len(data_t1_c5)):
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkData( i, 0, f'{data_t1_c5[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkFloatString( i, 0, data_t1_c5[i])
tdSql.query(f"select cast(c5 as nchar) as b from {self.dbname}.t1")
for i in range(len(data_t1_c5)):
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkData( i, 0, f'{data_t1_c5[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkFloatString( i, 0, data_t1_c5[i])
tdSql.query(f"select cast(c5 as varchar) as b from {self.dbname}.t1")
for i in range(len(data_t1_c5)):
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkData( i, 0, f'{data_t1_c5[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_t1_c5[i] is None else tdSql.checkFloatString( i, 0, data_t1_c5[i])
tdLog.printNoPrefix("==========step23: cast float to timestamp, expect changes to timestamp ")
tdSql.query(f"select cast(c5 as timestamp) as b from {self.dbname}.ct4")
@ -367,18 +367,18 @@ class TDTestCase:
tdLog.printNoPrefix("==========step25: cast double to binary, expect changes to str(int) ")
tdSql.query(f"select cast(c6 as binary(32)) as b from {self.dbname}.ct4")
for i in range(len(data_ct4_c6)):
tdSql.checkData( i, 0, None ) if data_ct4_c6[i] is None else tdSql.checkData( i, 0, f'{data_ct4_c6[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_ct4_c6[i] is None else tdSql.checkFloatString( i, 0, data_ct4_c6[i])
tdSql.query(f"select cast(c6 as binary(32)) as b from {self.dbname}.t1")
for i in range(len(data_t1_c6)):
tdSql.checkData( i, 0, None ) if data_t1_c6[i] is None else tdSql.checkData( i, 0, f'{data_t1_c6[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_t1_c6[i] is None else tdSql.checkFloatString( i, 0, data_t1_c6[i])
tdLog.printNoPrefix("==========step26: cast double to nchar, expect changes to str(int) ")
tdSql.query(f"select cast(c6 as nchar(32)) as b from {self.dbname}.ct4")
for i in range(len(data_ct4_c6)):
tdSql.checkData( i, 0, None ) if data_ct4_c6[i] is None else tdSql.checkData( i, 0, f'{data_ct4_c6[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_ct4_c6[i] is None else tdSql.checkFloatString( i, 0, data_ct4_c6[i])
tdSql.query(f"select cast(c6 as nchar(32)) as b from {self.dbname}.t1")
for i in range(len(data_t1_c6)):
tdSql.checkData( i, 0, None ) if data_t1_c6[i] is None else tdSql.checkData( i, 0, f'{data_t1_c6[i]:.6f}' )
tdSql.checkData( i, 0, None ) if data_t1_c6[i] is None else tdSql.checkFloatString( i, 0, data_t1_c6[i])
tdLog.printNoPrefix("==========step27: cast double to timestamp, expect changes to timestamp ")
tdSql.query(f"select cast(c6 as timestamp) as b from {self.dbname}.ct4")

2
tests/system-test/2-query/db.py
View File

@ -47,7 +47,7 @@ class TDTestCase:
def case2(self):
tdSql.query("show variables")
tdSql.checkRows(93)
tdSql.checkRows(88)
for i in range(self.replicaVar):
tdSql.query("show dnode %d variables like 'debugFlag'" % (i + 1))

29
tests/system-test/2-query/join_cond.py Normal file
View File

@ -0,0 +1,29 @@
from os import system
from util.log import *
from util.sql import *
from util.cases import *
from util.sqlset import *
class TDTestCase:
def init(self, conn, logSql, replicaVar=1):
tdLog.debug("start to execute %s" % __file__)
tdSql.init(conn.cursor(),True)
def test_join(self):
sql_file = './2-query/join_cond.sql'
os.system(f'taos -f {sql_file}')
tdSql.query('use csv_import')
tdSql.query('SELECT * FROM trans,candle WHERE trans.tradeTime BETWEEN to_timestamp("2010-01-01", "yyyy-mm-dd") AND to_timestamp("2010-01-21", "yyyy-mm-dd")+1d-1a AND candle.date BETWEEN to_timestamp("2010-01-01", "yyyy-mm-dd") AND to_timestamp("2010-01-21", "yyyy-mm-dd") AND timetruncate(trans.tradeTime, 1d) = candle.date AND trans.securityId = cast(substring_index(candle.order_book_id, ".", 1) as INT) AND trans.securityid = 600884;', queryTimes=1)
tdSql.checkRows(460)
tdSql.query('SELECT * FROM (SELECT * FROM trans WHERE tradeTime BETWEEN to_timestamp("2010-01-01", "yyyy-mm-dd") AND to_timestamp("2010-01-21", "yyyy-mm-dd")+1d-1a AND securityid = 600884) as t INNER JOIN(SELECT * FROM candle WHERE date BETWEEN to_timestamp("2010-01-01", "yyyy-mm-dd") AND to_timestamp("2010-01-21", "yyyy-mm-dd") ) as c ON timetruncate(t.tradeTime, 1d) = c.date AND t.securityId = cast(substring_index(c.order_book_id, ".", 1) as INT);', queryTimes=1)
tdSql.checkRows(460)
def run(self):
self.test_join()
def stop(self):
tdSql.close()
tdLog.success("%s successfully executed" % __file__)
tdCases.addWindows(__file__, TDTestCase())
tdCases.addLinux(__file__, TDTestCase())

8
tests/system-test/2-query/pre_candle.csv Executable file
View File

@ -0,0 +1,8 @@
"candle_XSHG_600592","600592.XSHG","2010-01-04 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600884","600884.XSHG","2010-01-04 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600019","600019.XSHG","2010-01-04 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600905","600905.XSHG","2010-01-04 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600592","600592.XSHG","2010-01-21 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600884","600884.XSHG","2010-01-21 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600019","600019.XSHG","2010-01-21 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
"candle_XSHG_600905","600905.XSHG","2010-01-21 00:00:00",0,20418867,0,211797052,0,6.2908,6.2609,6.0982,6.0916,"2025-01-08 20:16:49"
1 candle_XSHG_600592 600592.XSHG 2010-01-04 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
2 candle_XSHG_600884 600884.XSHG 2010-01-04 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
3 candle_XSHG_600019 600019.XSHG 2010-01-04 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
4 candle_XSHG_600905 600905.XSHG 2010-01-04 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
5 candle_XSHG_600592 600592.XSHG 2010-01-21 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
6 candle_XSHG_600884 600884.XSHG 2010-01-21 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
7 candle_XSHG_600019 600019.XSHG 2010-01-21 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49
8 candle_XSHG_600905 600905.XSHG 2010-01-21 00:00:00 0 20418867 0 211797052 0 6.2908 6.2609 6.0982 6.0916 2025-01-08 20:16:49

240
tests/system-test/2-query/pre_transaction-2010-01-04.csv Executable file
View File

@ -0,0 +1,240 @@
"trans_1_600739",1,600739,"2010-01-04 9:25:00.98",19.5900000000,6000.0,"N",5.0,13863.0,226580.0,222710.0,1600780995.0,512221364.0,512221364.0,"N",129827.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13864.0,170994.0,1168.0,1600780996.0,512221370.0,512221370.0,"N",131459.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13865.0,170994.0,150343.0,1600780997.0,512221371.0,512221371.0,"N",131460.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13866.0,170994.0,170676.0,1600780998.0,512221372.0,512221372.0,"N",131461.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13867.0,170994.0,171073.0,1600780999.0,512221372.0,512221372.0,"N",131462.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13868.0,170994.0,171164.0,1600781000.0,512221373.0,512221373.0,"N",131463.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13869.0,170994.0,171290.0,1600781001.0,512221374.0,512221374.0,"N",131464.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13870.0,170994.0,171349.0,1600781002.0,512221375.0,512221375.0,"N",131465.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13871.0,170994.0,184934.0,1600781003.0,512221376.0,512221376.0,"N",131466.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13872.0,189376.0,72622.0,1600781004.0,512221376.0,512221376.0,"N",131467.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13873.0,190234.0,72622.0,1600781005.0,512221377.0,512221377.0,"N",131468.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,600.0,"N",5.0,13874.0,193816.0,72622.0,1600781006.0,512221378.0,512221378.0,"N",131469.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13875.0,206794.0,72622.0,1600781007.0,512221378.0,512221378.0,"N",131470.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13876.0,208785.0,72622.0,1600781008.0,512221379.0,512221379.0,"N",131471.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13877.0,212908.0,72622.0,1600781009.0,512221380.0,512221380.0,"N",131472.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13878.0,215154.0,72622.0,1600781010.0,512221384.0,512221385.0,"N",131473.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13879.0,215217.0,72622.0,1600781011.0,512221386.0,512221386.0,"N",131474.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,700.0,"N",5.0,13880.0,218560.0,72622.0,1600781012.0,512221386.0,512221386.0,"N",131475.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13881.0,217936.0,72622.0,1600781013.0,512221387.0,512221387.0,"N",131476.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1500.0,"N",5.0,13882.0,168303.0,72622.0,1600781014.0,512221388.0,512221388.0,"N",131477.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13883.0,205862.0,72622.0,1600781015.0,512221389.0,512221389.0,"N",131478.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,700.0,"N",5.0,13884.0,227586.0,72622.0,1600781016.0,512221390.0,512221390.0,"N",131479.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13885.0,228163.0,72622.0,1600781017.0,512221876.0,512221876.0,"N",131480.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13886.0,228163.0,184394.0,1600781018.0,512221877.0,512221877.0,"N",131481.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13887.0,228163.0,218053.0,1600781019.0,512221878.0,512221878.0,"N",131482.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13888.0,202432.0,218053.0,1600781020.0,512221879.0,512221879.0,"N",131483.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13889.0,202432.0,210583.0,1600781021.0,512221880.0,512221880.0,"N",131484.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13890.0,223452.0,210583.0,1600781022.0,512221881.0,512221881.0,"N",131485.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13891.0,224091.0,210583.0,1600781023.0,512221881.0,512221881.0,"N",131486.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13892.0,174039.0,210583.0,1600781024.0,512221882.0,512221882.0,"N",131487.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13893.0,174169.0,211003.0,1600781025.0,512221883.0,512221883.0,"N",131488.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13894.0,174169.0,211027.0,1600781026.0,512221883.0,512221883.0,"N",131489.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13895.0,174169.0,175330.0,1600781027.0,512221884.0,512221884.0,"N",131490.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13896.0,174169.0,175361.0,1600781028.0,512221885.0,512221885.0,"N",131491.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13897.0,174169.0,5427.0,1600781029.0,512221886.0,512221886.0,"N",131492.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13898.0,174169.0,104968.0,1600781030.0,512221886.0,512221886.0,"N",131493.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13899.0,174169.0,197157.0,1600781031.0,512221887.0,512221887.0,"N",131494.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,900.0,"N",5.0,13900.0,174169.0,213073.0,1600781032.0,512221888.0,512221888.0,"N",131495.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13901.0,174202.0,213073.0,1600781033.0,512221889.0,512221889.0,"N",131496.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13902.0,156858.0,213073.0,1600781034.0,512221889.0,512221889.0,"N",131497.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13903.0,221850.0,213073.0,1600781035.0,512221890.0,512221890.0,"N",131498.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13904.0,15931.0,213073.0,1600781036.0,512221891.0,512221891.0,"N",131499.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1200.0,"N",5.0,13905.0,173320.0,213073.0,1600781037.0,512221892.0,512221892.0,"N",131500.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1200.0,"N",5.0,13906.0,187298.0,213073.0,1600781038.0,512221898.0,512221898.0,"N",131501.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13907.0,187298.0,189061.0,1600781039.0,512221899.0,512221899.0,"N",131502.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13908.0,187298.0,77668.0,1600781040.0,512221900.0,512221900.0,"N",131503.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1200.0,"N",5.0,13909.0,187298.0,220591.0,1600781041.0,512221900.0,512221900.0,"N",131504.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,800.0,"N",5.0,13910.0,204097.0,220591.0,1600781042.0,512221901.0,512221901.0,"N",131505.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2800.0,"N",5.0,13911.0,226770.0,220591.0,1600781043.0,512221902.0,512221902.0,"N",131506.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13912.0,226770.0,221099.0,1600781044.0,512221903.0,512221903.0,"N",131507.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13913.0,226770.0,77667.0,1600781045.0,512221908.0,512221908.0,"N",131508.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1700.0,"N",5.0,13914.0,226770.0,176213.0,1600781046.0,512221909.0,512221909.0,"N",131509.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,900.0,"N",5.0,13915.0,226770.0,179993.0,1600781047.0,512221910.0,512221910.0,"N",131510.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13916.0,226770.0,201007.0,1600781048.0,512221910.0,512221910.0,"N",131511.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,5300.0,"N",5.0,13917.0,226770.0,227813.0,1600781049.0,512221912.0,512221912.0,"N",131512.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13918.0,226770.0,222044.0,1600781050.0,512221913.0,512221913.0,"N",131513.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1300.0,"N",5.0,13919.0,226770.0,222052.0,1600781051.0,512221913.0,512221913.0,"N",131514.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13920.0,226770.0,222073.0,1600781052.0,512221914.0,512221914.0,"N",131515.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13921.0,226770.0,222111.0,1600781053.0,512221918.0,512221918.0,"N",131516.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13922.0,226770.0,223816.0,1600781054.0,512221918.0,512221919.0,"N",131517.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13923.0,226770.0,223893.0,1600781055.0,512221919.0,512221919.0,"N",131518.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13924.0,226770.0,200492.0,1600781056.0,512221920.0,512221920.0,"N",131519.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13925.0,226770.0,213208.0,1600781057.0,512221921.0,512221921.0,"N",131520.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13926.0,226770.0,377.0,1600781058.0,512221925.0,512221925.0,"N",131521.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13927.0,226770.0,10179.0,1600781059.0,512221926.0,512221926.0,"N",131522.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13928.0,226770.0,10813.0,1600781060.0,512221926.0,512221926.0,"N",131523.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13929.0,226770.0,14213.0,1600781061.0,512221927.0,512221927.0,"N",131524.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13930.0,226770.0,45125.0,1600781062.0,512221928.0,512221928.0,"N",131525.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13931.0,223735.0,45125.0,1600781063.0,512221928.0,512221928.0,"N",131526.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13932.0,223735.0,66436.0,1600781064.0,512221934.0,512221934.0,"N",131527.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,4900.0,"N",5.0,13933.0,223735.0,96261.0,1600781065.0,512221935.0,512221935.0,"N",131528.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,5000.0,"N",5.0,13934.0,224814.0,96261.0,1600781066.0,512221935.0,512221935.0,"N",131529.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,3800.0,"N",5.0,13935.0,225287.0,96261.0,1600781067.0,512221936.0,512221936.0,"N",131530.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13936.0,225287.0,110161.0,1600781068.0,512221937.0,512221937.0,"N",131531.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13937.0,225287.0,50745.0,1600781069.0,512221938.0,512221938.0,"N",131532.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13938.0,225287.0,65667.0,1600781070.0,512221938.0,512221938.0,"N",131533.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13939.0,225287.0,106360.0,1600781071.0,512221939.0,512221939.0,"N",131534.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13940.0,225287.0,109850.0,1600781072.0,512221940.0,512221940.0,"N",131535.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,900.0,"N",5.0,13941.0,225287.0,140212.0,1600781073.0,512221940.0,512221940.0,"N",131536.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13942.0,225287.0,160766.0,1600781074.0,512221941.0,512221941.0,"N",131537.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13943.0,225287.0,168951.0,1600781075.0,512221942.0,512221942.0,"N",131538.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13944.0,225287.0,186616.0,1600781076.0,512221943.0,512221943.0,"N",131539.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13945.0,191244.0,186616.0,1600781077.0,512221950.0,512221950.0,"N",131540.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13946.0,191244.0,195935.0,1600781078.0,512221952.0,512221952.0,"N",131541.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13947.0,191244.0,171637.0,1600781079.0,512221954.0,512221954.0,"N",131542.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,700.0,"N",5.0,13948.0,108848.0,171637.0,1600781080.0,512221956.0,512221956.0,"N",131543.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13949.0,173892.0,171637.0,1600781081.0,512221958.0,512221958.0,"N",131544.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13950.0,223874.0,171637.0,1600781082.0,512221960.0,512221960.0,"N",131545.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13951.0,228894.0,171637.0,1600781083.0,512221962.0,512221962.0,"N",131546.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13952.0,228894.0,171763.0,1600781084.0,512221964.0,512221964.0,"N",131547.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13953.0,228894.0,183729.0,1600781085.0,512221966.0,512221966.0,"N",131548.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,600.0,"N",5.0,13954.0,228894.0,94633.0,1600781086.0,512221968.0,512221968.0,"N",131549.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13955.0,228894.0,204698.0,1600781087.0,512221970.0,512221970.0,"N",131550.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13956.0,228894.0,227169.0,1600781088.0,512221972.0,512221972.0,"N",131551.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,4400.0,"N",5.0,13957.0,228894.0,227349.0,1600781089.0,512221974.0,512221974.0,"N",131552.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1333.0,"N",5.0,13958.0,228894.0,227502.0,1600781090.0,512221976.0,512221976.0,"N",131553.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,4000.0,"N",5.0,13959.0,228894.0,227832.0,1600781091.0,512221978.0,512221978.0,"N",131554.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1500.0,"N",5.0,13960.0,228894.0,176491.0,1600781092.0,512221980.0,512221980.0,"N",131555.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2200.0,"N",5.0,13961.0,228894.0,179359.0,1600781093.0,512221982.0,512221982.0,"N",131556.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13962.0,228894.0,180509.0,1600781094.0,512221983.0,512221983.0,"N",131557.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13963.0,228894.0,182047.0,1600781095.0,512221985.0,512221985.0,"N",131558.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13964.0,228894.0,225255.0,1600781096.0,512221987.0,512221987.0,"N",131559.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2700.0,"N",5.0,13965.0,228894.0,159257.0,1600781097.0,512221989.0,512221989.0,"N",131560.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1500.0,"N",5.0,13966.0,228894.0,192167.0,1600781098.0,512221991.0,512221991.0,"N",131561.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,4700.0,"N",5.0,13967.0,228894.0,193069.0,1600781099.0,512221993.0,512221993.0,"N",131562.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13968.0,228894.0,199946.0,1600781100.0,512221995.0,512221995.0,"N",131563.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13969.0,228894.0,223594.0,1600781101.0,512221997.0,512221997.0,"N",131564.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13970.0,228894.0,186461.0,1600781102.0,512221999.0,512221999.0,"N",131565.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,13971.0,228894.0,144395.0,1600781103.0,512222001.0,512222001.0,"N",131566.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,3000.0,"N",5.0,13972.0,228894.0,212191.0,1600781104.0,512222003.0,512222003.0,"N",131567.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,13973.0,228894.0,219800.0,1600781105.0,512222005.0,512222005.0,"N",131568.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,13974.0,228894.0,53198.0,1600781106.0,512222007.0,512222007.0,"N",131569.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13975.0,228894.0,186418.0,1600781107.0,512222008.0,512222008.0,"N",131570.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,10000.0,"N",5.0,13976.0,228894.0,225024.0,1600781108.0,512222008.0,512222008.0,"N",131571.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13977.0,228894.0,226826.0,1600781109.0,512222028.0,512222028.0,"N",131572.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13978.0,228894.0,6191.0,1600781110.0,512222030.0,512222030.0,"N",131573.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13979.0,228894.0,32709.0,1600781111.0,512222031.0,512222031.0,"N",131574.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,13980.0,228894.0,41545.0,1600781112.0,512222032.0,512222032.0,"N",131575.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,9400.0,"N",5.0,13981.0,228894.0,105187.0,1600781113.0,512222033.0,512222033.0,"N",131576.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13982.0,228894.0,210020.0,1600781114.0,512222033.0,512222033.0,"N",131577.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,13983.0,228894.0,218652.0,1600781115.0,512222034.0,512222034.0,"N",131578.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,767.0,"N",5.0,13984.0,228894.0,222077.0,1600781116.0,512222035.0,512222035.0,"N",131579.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,33.0,"N",5.0,13985.0,228897.0,222077.0,1600781117.0,512222035.0,512222035.0,"N",131580.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13986.0,228897.0,182463.0,1600781118.0,512222036.0,512222036.0,"N",131581.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,13987.0,228897.0,202893.0,1600781119.0,512222042.0,512222042.0,"N",131582.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13988.0,228897.0,202997.0,1600781120.0,512222044.0,512222044.0,"N",131583.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13989.0,228897.0,206771.0,1600781121.0,512222047.0,512222047.0,"N",131584.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,767.0,"N",5.0,13990.0,228897.0,209568.0,1600781122.0,512222047.0,512222047.0,"N",131585.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,233.0,"N",5.0,13991.0,228899.0,209568.0,1600781123.0,512222053.0,512222053.0,"N",131586.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,3000.0,"N",5.0,13992.0,228899.0,212809.0,1600781124.0,512222054.0,512222054.0,"N",131587.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,13993.0,228899.0,213551.0,1600781125.0,512222055.0,512222055.0,"N",131588.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13994.0,228899.0,214370.0,1600781126.0,512222055.0,512222056.0,"N",131589.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13995.0,228899.0,217539.0,1600781127.0,512222056.0,512222056.0,"N",131590.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,13996.0,228899.0,218375.0,1600781128.0,512222057.0,512222057.0,"N",131591.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,13997.0,228899.0,62045.0,1600781129.0,512222058.0,512222058.0,"N",131592.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2700.0,"N",5.0,13998.0,228899.0,225322.0,1600781130.0,512222059.0,512222059.0,"N",131593.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,8900.0,"N",5.0,13999.0,228899.0,220252.0,1600781131.0,512222059.0,512222059.0,"N",131594.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,5000.0,"N",5.0,14000.0,228899.0,221928.0,1600781132.0,512222060.0,512222060.0,"N",131595.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14001.0,228899.0,221977.0,1600781133.0,512222061.0,512222061.0,"N",131596.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14002.0,228899.0,63584.0,1600781134.0,512222061.0,512222062.0,"N",131597.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14003.0,228899.0,224215.0,1600781135.0,512222068.0,512222068.0,"N",131598.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2100.0,"N",5.0,14004.0,228899.0,225003.0,1600781136.0,512222069.0,512222069.0,"N",131599.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14005.0,228899.0,179710.0,1600781137.0,512222070.0,512222070.0,"N",131600.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14006.0,228899.0,62046.0,1600781138.0,512222071.0,512222071.0,"N",131601.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,700.0,"N",5.0,14007.0,228899.0,224762.0,1600781139.0,512222072.0,512222072.0,"N",131602.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,600.0,"N",5.0,14008.0,228899.0,225780.0,1600781140.0,512222072.0,512222072.0,"N",131603.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,14009.0,228899.0,228048.0,1600781141.0,512222073.0,512222073.0,"N",131604.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14010.0,228899.0,32710.0,1600781142.0,512222074.0,512222074.0,"N",131605.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,14011.0,228899.0,130340.0,1600781143.0,512222075.0,512222075.0,"N",131606.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14012.0,228899.0,176768.0,1600781144.0,512222075.0,512222075.0,"N",131607.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14013.0,228899.0,62049.0,1600781145.0,512222076.0,512222076.0,"N",131608.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,800.0,"N",5.0,14014.0,228899.0,177524.0,1600781146.0,512222077.0,512222077.0,"N",131609.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14015.0,228899.0,181229.0,1600781147.0,512222078.0,512222078.0,"N",131610.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14016.0,228899.0,41053.0,1600781148.0,512222078.0,512222078.0,"N",131611.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14017.0,228899.0,201890.0,1600781149.0,512222079.0,512222079.0,"N",131612.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,14018.0,228899.0,3587.0,1600781150.0,512222080.0,512222080.0,"N",131613.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14019.0,228899.0,41028.0,1600781151.0,512222081.0,512222081.0,"N",131614.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14020.0,228899.0,63585.0,1600781152.0,512222083.0,512222083.0,"N",131615.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14021.0,228899.0,218421.0,1600781153.0,512222091.0,512222091.0,"N",131616.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14022.0,228899.0,167040.0,1600781154.0,512222092.0,512222092.0,"N",131617.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14023.0,228899.0,34308.0,1600781155.0,512222093.0,512222093.0,"N",131618.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14024.0,228899.0,62050.0,1600781156.0,512222094.0,512222094.0,"N",131619.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1100.0,"N",5.0,14025.0,228899.0,166014.0,1600781157.0,512222095.0,512222095.0,"N",131620.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14026.0,228899.0,202364.0,1600781158.0,512222095.0,512222095.0,"N",131621.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14027.0,228899.0,214924.0,1600781159.0,512222096.0,512222096.0,"N",131622.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14028.0,228899.0,226028.0,1600781160.0,512222097.0,512222097.0,"N",131623.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14029.0,228899.0,32711.0,1600781161.0,512222097.0,512222098.0,"N",131624.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14030.0,228899.0,76807.0,1600781162.0,512222098.0,512222098.0,"N",131625.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14031.0,228899.0,150649.0,1600781163.0,512222099.0,512222099.0,"N",131626.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14032.0,228899.0,71032.0,1600781164.0,512222099.0,512222099.0,"N",131627.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14033.0,228899.0,83193.0,1600781165.0,512222100.0,512222100.0,"N",131628.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,867.0,"N",5.0,14034.0,228899.0,140568.0,1600781166.0,512222101.0,512222101.0,"N",131629.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,3400.0,"N",5.0,14035.0,228902.0,140568.0,1600781167.0,512222101.0,512222102.0,"N",131630.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14036.0,215644.0,140568.0,1600781168.0,512222102.0,512222102.0,"N",131631.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2133.0,"N",5.0,14037.0,223828.0,140568.0,1600781169.0,512222103.0,512222103.0,"N",131632.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14038.0,223828.0,179126.0,1600781170.0,512222104.0,512222104.0,"N",131633.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14039.0,223828.0,205582.0,1600781171.0,512222109.0,512222109.0,"N",131634.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14040.0,223828.0,216581.0,1600781172.0,512222110.0,512222110.0,"N",131635.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14041.0,223828.0,12989.0,1600781173.0,512222111.0,512222111.0,"N",131636.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14042.0,223828.0,62047.0,1600781174.0,512222112.0,512222112.0,"N",131637.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14043.0,223828.0,62048.0,1600781175.0,512222112.0,512222112.0,"N",131638.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,67.0,"N",5.0,14044.0,223828.0,135040.0,1600781176.0,512222113.0,512222113.0,"N",131639.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14045.0,220953.0,135040.0,1600781177.0,512222131.0,512222131.0,"N",131640.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,33.0,"N",5.0,14046.0,106911.0,135040.0,1600781178.0,512222133.0,512222133.0,"N",131641.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14047.0,106911.0,192893.0,1600781179.0,512222134.0,512222134.0,"N",131642.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,167.0,"N",5.0,14048.0,106911.0,63586.0,1600781180.0,512222137.0,512222137.0,"N",131643.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,833.0,"N",5.0,14049.0,220739.0,63586.0,1600781181.0,512222139.0,512222139.0,"N",131644.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2700.0,"N",5.0,14050.0,220739.0,12652.0,1600781182.0,512222140.0,512222140.0,"N",131645.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14051.0,220739.0,109385.0,1600781183.0,512222143.0,512222143.0,"N",131646.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,700.0,"N",5.0,14052.0,220739.0,216747.0,1600781184.0,512222145.0,512222145.0,"N",131647.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14053.0,220739.0,12990.0,1600781185.0,512222146.0,512222146.0,"N",131648.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14054.0,220739.0,61809.0,1600781186.0,512222148.0,512222148.0,"N",131649.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14055.0,220739.0,62051.0,1600781187.0,512222149.0,512222149.0,"N",131650.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14056.0,220739.0,165534.0,1600781188.0,512222150.0,512222150.0,"N",131651.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,14057.0,220739.0,198784.0,1600781189.0,512222156.0,512222156.0,"N",131652.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14058.0,220739.0,32712.0,1600781190.0,512222158.0,512222158.0,"N",131653.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,14059.0,220739.0,41546.0,1600781191.0,512222160.0,512222160.0,"N",131654.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2400.0,"N",5.0,14060.0,220739.0,214219.0,1600781192.0,512222162.0,512222162.0,"N",131655.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,8900.0,"N",5.0,14061.0,220739.0,75249.0,1600781193.0,512222164.0,512222164.0,"N",131656.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,800.0,"N",5.0,14062.0,220739.0,115157.0,1600781194.0,512222166.0,512222166.0,"N",131657.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2200.0,"N",5.0,14063.0,220739.0,170983.0,1600781195.0,512222168.0,512222168.0,"N",131658.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14064.0,220739.0,188284.0,1600781196.0,512222170.0,512222170.0,"N",131659.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14065.0,220739.0,208374.0,1600781197.0,512222172.0,512222172.0,"N",131660.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,4000.0,"N",5.0,14066.0,220739.0,212016.0,1600781198.0,512222174.0,512222174.0,"N",131661.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14067.0,220739.0,205044.0,1600781199.0,512222176.0,512222176.0,"N",131662.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14068.0,220739.0,207106.0,1600781200.0,512222178.0,512222178.0,"N",131663.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14069.0,220739.0,22366.0,1600781201.0,512222180.0,512222180.0,"N",131664.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14070.0,220739.0,62052.0,1600781202.0,512222182.0,512222182.0,"N",131665.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14071.0,220739.0,153017.0,1600781203.0,512222184.0,512222184.0,"N",131666.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14072.0,220739.0,209919.0,1600781204.0,512222186.0,512222186.0,"N",131667.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14073.0,220739.0,213931.0,1600781205.0,512222188.0,512222188.0,"N",131668.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,300.0,"N",5.0,14074.0,220739.0,144375.0,1600781206.0,512222190.0,512222190.0,"N",131669.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,14075.0,220739.0,190115.0,1600781207.0,512222192.0,512222192.0,"N",131670.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,2000.0,"N",5.0,14076.0,220739.0,203179.0,1600781208.0,512222193.0,512222194.0,"N",131671.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14077.0,220739.0,42575.0,1600781209.0,512222195.0,512222195.0,"N",131672.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14078.0,220739.0,109383.0,1600781210.0,512222198.0,512222198.0,"N",131673.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,400.0,"N",5.0,14079.0,220739.0,139296.0,1600781211.0,512222200.0,512222200.0,"N",131674.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14080.0,220739.0,12991.0,1600781212.0,512222202.0,512222202.0,"N",131675.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14081.0,220739.0,63754.0,1600781213.0,512222203.0,512222203.0,"N",131676.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14082.0,220739.0,96471.0,1600781214.0,512222207.0,512222207.0,"N",131677.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14083.0,220739.0,193136.0,1600781215.0,512222208.0,512222208.0,"N",131678.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14084.0,220739.0,32713.0,1600781216.0,512222210.0,512222210.0,"N",131679.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,1000.0,"N",5.0,14085.0,220739.0,63587.0,1600781217.0,512222212.0,512222212.0,"N",131680.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14086.0,220739.0,12992.0,1600781218.0,512222215.0,512222215.0,"N",131681.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,500.0,"N",5.0,14087.0,220739.0,63755.0,1600781219.0,512222217.0,512222217.0,"N",131682.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14088.0,220739.0,84942.0,1600781220.0,512222218.0,512222218.0,"N",131683.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,600.0,"N",5.0,14089.0,220739.0,99310.0,1600781221.0,512222219.0,512222219.0,"N",131684.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14090.0,220739.0,107389.0,1600781222.0,512222220.0,512222220.0,"N",131685.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,200.0,"N",5.0,14091.0,220739.0,148978.0,1600781223.0,512222220.0,512222220.0,"N",131686.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,100.0,"N",5.0,14092.0,220739.0,208949.0,1600781224.0,512222226.0,512222226.0,"N",131687.0
"trans_1_600884",1,600884,"2010-01-04 9:25:00.98",33.4600000000,5867.0,"N",5.0,14093.0,220739.0,219098.0,1600781225.0,512222228.0,512222228.0,"N",131688.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14094.0,218502.0,88013.0,1600781226.0,512222230.0,512222230.0,"N",131887.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14095.0,174159.0,88013.0,1600781227.0,512222232.0,512222232.0,"N",131888.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14096.0,210980.0,88013.0,1600781228.0,512222234.0,512222234.0,"N",131889.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14097.0,221813.0,88013.0,1600781229.0,512222236.0,512222236.0,"N",131890.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,600.0,"N",5.0,14098.0,61974.0,88013.0,1600781230.0,512222238.0,512222238.0,"N",131891.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,700.0,"N",5.0,14099.0,194981.0,166774.0,1600781231.0,512222240.0,512222240.0,"N",131892.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14100.0,196093.0,166774.0,1600781232.0,512222242.0,512222242.0,"N",131893.0
"trans_1_600885",1,600885,"2010-01-04 9:25:00.98",74.7700000000,100.0,"N",5.0,14101.0,196093.0,225148.0,1600781233.0,512222244.0,512222244.0,"N",131894.0
1 trans_1_600739 1 600739 2010-01-04 9:25:00.98 19.5900000000 6000.0 N 5.0 13863.0 226580.0 222710.0 1600780995.0 512221364.0 512221364.0 N 129827.0
2 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13864.0 170994.0 1168.0 1600780996.0 512221370.0 512221370.0 N 131459.0
3 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 200.0 N 5.0 13865.0 170994.0 150343.0 1600780997.0 512221371.0 512221371.0 N 131460.0
4 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13866.0 170994.0 170676.0 1600780998.0 512221372.0 512221372.0 N 131461.0
5 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 200.0 N 5.0 13867.0 170994.0 171073.0 1600780999.0 512221372.0 512221372.0 N 131462.0
6 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13868.0 170994.0 171164.0 1600781000.0 512221373.0 512221373.0 N 131463.0
7 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13869.0 170994.0 171290.0 1600781001.0 512221374.0 512221374.0 N 131464.0
8 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13870.0 170994.0 171349.0 1600781002.0 512221375.0 512221375.0 N 131465.0
9 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13871.0 170994.0 184934.0 1600781003.0 512221376.0 512221376.0 N 131466.0
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33 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 100.0 N 5.0 13895.0 174169.0 175330.0 1600781027.0 512221884.0 512221884.0 N 131490.0
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36 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 200.0 N 5.0 13898.0 174169.0 104968.0 1600781030.0 512221886.0 512221886.0 N 131493.0
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38 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 900.0 N 5.0 13900.0 174169.0 213073.0 1600781032.0 512221888.0 512221888.0 N 131495.0
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117 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 1000.0 N 5.0 13979.0 228894.0 32709.0 1600781111.0 512222031.0 512222031.0 N 131574.0
118 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 2000.0 N 5.0 13980.0 228894.0 41545.0 1600781112.0 512222032.0 512222032.0 N 131575.0
119 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 9400.0 N 5.0 13981.0 228894.0 105187.0 1600781113.0 512222033.0 512222033.0 N 131576.0
120 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 500.0 N 5.0 13982.0 228894.0 210020.0 1600781114.0 512222033.0 512222033.0 N 131577.0
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229 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 200.0 N 5.0 14091.0 220739.0 148978.0 1600781223.0 512222220.0 512222220.0 N 131686.0
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231 trans_1_600884 1 600884 2010-01-04 9:25:00.98 33.4600000000 5867.0 N 5.0 14093.0 220739.0 219098.0 1600781225.0 512222228.0 512222228.0 N 131688.0
232 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14094.0 218502.0 88013.0 1600781226.0 512222230.0 512222230.0 N 131887.0
233 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14095.0 174159.0 88013.0 1600781227.0 512222232.0 512222232.0 N 131888.0
234 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14096.0 210980.0 88013.0 1600781228.0 512222234.0 512222234.0 N 131889.0
235 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14097.0 221813.0 88013.0 1600781229.0 512222236.0 512222236.0 N 131890.0
236 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 600.0 N 5.0 14098.0 61974.0 88013.0 1600781230.0 512222238.0 512222238.0 N 131891.0
237 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 700.0 N 5.0 14099.0 194981.0 166774.0 1600781231.0 512222240.0 512222240.0 N 131892.0
238 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14100.0 196093.0 166774.0 1600781232.0 512222242.0 512222242.0 N 131893.0
239 trans_1_600885 1 600885 2010-01-04 9:25:00.98 74.7700000000 100.0 N 5.0 14101.0 196093.0 225148.0 1600781233.0 512222244.0 512222244.0 N 131894.0

235
tests/system-test/2-query/pre_transaction-2010-01-21.csv Executable file
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@ -0,0 +1,235 @@
"trans_1_600739",1,600739,"2010-01-21 9:25:00.98",19.5900000000,500.0,"N",5.0,13862.0,224487.0,222710.0,1600780994.0,512221364.0,512221364.0,"N",129826.0
"trans_1_600739",1,600739,"2010-01-21 9:25:00.98",19.5900000000,6000.0,"N",5.0,13863.0,226580.0,222710.0,1600780995.0,512221364.0,512221364.0,"N",129827.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13864.0,170994.0,1168.0,1600780996.0,512221370.0,512221370.0,"N",131459.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13865.0,170994.0,150343.0,1600780997.0,512221371.0,512221371.0,"N",131460.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13866.0,170994.0,170676.0,1600780998.0,512221372.0,512221372.0,"N",131461.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13867.0,170994.0,171073.0,1600780999.0,512221372.0,512221372.0,"N",131462.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13868.0,170994.0,171164.0,1600781000.0,512221373.0,512221373.0,"N",131463.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13869.0,170994.0,171290.0,1600781001.0,512221374.0,512221374.0,"N",131464.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13870.0,170994.0,171349.0,1600781002.0,512221375.0,512221375.0,"N",131465.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13871.0,170994.0,184934.0,1600781003.0,512221376.0,512221376.0,"N",131466.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13872.0,189376.0,72622.0,1600781004.0,512221376.0,512221376.0,"N",131467.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13873.0,190234.0,72622.0,1600781005.0,512221377.0,512221377.0,"N",131468.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,600.0,"N",5.0,13874.0,193816.0,72622.0,1600781006.0,512221378.0,512221378.0,"N",131469.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13875.0,206794.0,72622.0,1600781007.0,512221378.0,512221378.0,"N",131470.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13876.0,208785.0,72622.0,1600781008.0,512221379.0,512221379.0,"N",131471.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13877.0,212908.0,72622.0,1600781009.0,512221380.0,512221380.0,"N",131472.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13878.0,215154.0,72622.0,1600781010.0,512221384.0,512221385.0,"N",131473.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13879.0,215217.0,72622.0,1600781011.0,512221386.0,512221386.0,"N",131474.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,700.0,"N",5.0,13880.0,218560.0,72622.0,1600781012.0,512221386.0,512221386.0,"N",131475.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13881.0,217936.0,72622.0,1600781013.0,512221387.0,512221387.0,"N",131476.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1500.0,"N",5.0,13882.0,168303.0,72622.0,1600781014.0,512221388.0,512221388.0,"N",131477.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13883.0,205862.0,72622.0,1600781015.0,512221389.0,512221389.0,"N",131478.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,700.0,"N",5.0,13884.0,227586.0,72622.0,1600781016.0,512221390.0,512221390.0,"N",131479.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13885.0,228163.0,72622.0,1600781017.0,512221876.0,512221876.0,"N",131480.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13886.0,228163.0,184394.0,1600781018.0,512221877.0,512221877.0,"N",131481.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13887.0,228163.0,218053.0,1600781019.0,512221878.0,512221878.0,"N",131482.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13888.0,202432.0,218053.0,1600781020.0,512221879.0,512221879.0,"N",131483.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13889.0,202432.0,210583.0,1600781021.0,512221880.0,512221880.0,"N",131484.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13890.0,223452.0,210583.0,1600781022.0,512221881.0,512221881.0,"N",131485.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13891.0,224091.0,210583.0,1600781023.0,512221881.0,512221881.0,"N",131486.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13892.0,174039.0,210583.0,1600781024.0,512221882.0,512221882.0,"N",131487.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13893.0,174169.0,211003.0,1600781025.0,512221883.0,512221883.0,"N",131488.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13894.0,174169.0,211027.0,1600781026.0,512221883.0,512221883.0,"N",131489.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13895.0,174169.0,175330.0,1600781027.0,512221884.0,512221884.0,"N",131490.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13896.0,174169.0,175361.0,1600781028.0,512221885.0,512221885.0,"N",131491.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13897.0,174169.0,5427.0,1600781029.0,512221886.0,512221886.0,"N",131492.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13898.0,174169.0,104968.0,1600781030.0,512221886.0,512221886.0,"N",131493.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13899.0,174169.0,197157.0,1600781031.0,512221887.0,512221887.0,"N",131494.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,900.0,"N",5.0,13900.0,174169.0,213073.0,1600781032.0,512221888.0,512221888.0,"N",131495.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13901.0,174202.0,213073.0,1600781033.0,512221889.0,512221889.0,"N",131496.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13902.0,156858.0,213073.0,1600781034.0,512221889.0,512221889.0,"N",131497.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13903.0,221850.0,213073.0,1600781035.0,512221890.0,512221890.0,"N",131498.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13904.0,15931.0,213073.0,1600781036.0,512221891.0,512221891.0,"N",131499.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1200.0,"N",5.0,13905.0,173320.0,213073.0,1600781037.0,512221892.0,512221892.0,"N",131500.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1200.0,"N",5.0,13906.0,187298.0,213073.0,1600781038.0,512221898.0,512221898.0,"N",131501.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13907.0,187298.0,189061.0,1600781039.0,512221899.0,512221899.0,"N",131502.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13908.0,187298.0,77668.0,1600781040.0,512221900.0,512221900.0,"N",131503.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1200.0,"N",5.0,13909.0,187298.0,220591.0,1600781041.0,512221900.0,512221900.0,"N",131504.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,800.0,"N",5.0,13910.0,204097.0,220591.0,1600781042.0,512221901.0,512221901.0,"N",131505.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2800.0,"N",5.0,13911.0,226770.0,220591.0,1600781043.0,512221902.0,512221902.0,"N",131506.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13912.0,226770.0,221099.0,1600781044.0,512221903.0,512221903.0,"N",131507.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13913.0,226770.0,77667.0,1600781045.0,512221908.0,512221908.0,"N",131508.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1700.0,"N",5.0,13914.0,226770.0,176213.0,1600781046.0,512221909.0,512221909.0,"N",131509.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,900.0,"N",5.0,13915.0,226770.0,179993.0,1600781047.0,512221910.0,512221910.0,"N",131510.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13916.0,226770.0,201007.0,1600781048.0,512221910.0,512221910.0,"N",131511.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,5300.0,"N",5.0,13917.0,226770.0,227813.0,1600781049.0,512221912.0,512221912.0,"N",131512.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13918.0,226770.0,222044.0,1600781050.0,512221913.0,512221913.0,"N",131513.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1300.0,"N",5.0,13919.0,226770.0,222052.0,1600781051.0,512221913.0,512221913.0,"N",131514.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13920.0,226770.0,222073.0,1600781052.0,512221914.0,512221914.0,"N",131515.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13921.0,226770.0,222111.0,1600781053.0,512221918.0,512221918.0,"N",131516.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13922.0,226770.0,223816.0,1600781054.0,512221918.0,512221919.0,"N",131517.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13923.0,226770.0,223893.0,1600781055.0,512221919.0,512221919.0,"N",131518.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13924.0,226770.0,200492.0,1600781056.0,512221920.0,512221920.0,"N",131519.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13925.0,226770.0,213208.0,1600781057.0,512221921.0,512221921.0,"N",131520.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13926.0,226770.0,377.0,1600781058.0,512221925.0,512221925.0,"N",131521.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13927.0,226770.0,10179.0,1600781059.0,512221926.0,512221926.0,"N",131522.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13928.0,226770.0,10813.0,1600781060.0,512221926.0,512221926.0,"N",131523.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13929.0,226770.0,14213.0,1600781061.0,512221927.0,512221927.0,"N",131524.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13930.0,226770.0,45125.0,1600781062.0,512221928.0,512221928.0,"N",131525.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13931.0,223735.0,45125.0,1600781063.0,512221928.0,512221928.0,"N",131526.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13932.0,223735.0,66436.0,1600781064.0,512221934.0,512221934.0,"N",131527.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,4900.0,"N",5.0,13933.0,223735.0,96261.0,1600781065.0,512221935.0,512221935.0,"N",131528.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,5000.0,"N",5.0,13934.0,224814.0,96261.0,1600781066.0,512221935.0,512221935.0,"N",131529.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,3800.0,"N",5.0,13935.0,225287.0,96261.0,1600781067.0,512221936.0,512221936.0,"N",131530.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13936.0,225287.0,110161.0,1600781068.0,512221937.0,512221937.0,"N",131531.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13937.0,225287.0,50745.0,1600781069.0,512221938.0,512221938.0,"N",131532.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13938.0,225287.0,65667.0,1600781070.0,512221938.0,512221938.0,"N",131533.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13939.0,225287.0,106360.0,1600781071.0,512221939.0,512221939.0,"N",131534.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13940.0,225287.0,109850.0,1600781072.0,512221940.0,512221940.0,"N",131535.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,900.0,"N",5.0,13941.0,225287.0,140212.0,1600781073.0,512221940.0,512221940.0,"N",131536.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13942.0,225287.0,160766.0,1600781074.0,512221941.0,512221941.0,"N",131537.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13943.0,225287.0,168951.0,1600781075.0,512221942.0,512221942.0,"N",131538.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13944.0,225287.0,186616.0,1600781076.0,512221943.0,512221943.0,"N",131539.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13945.0,191244.0,186616.0,1600781077.0,512221950.0,512221950.0,"N",131540.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13946.0,191244.0,195935.0,1600781078.0,512221952.0,512221952.0,"N",131541.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13947.0,191244.0,171637.0,1600781079.0,512221954.0,512221954.0,"N",131542.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,700.0,"N",5.0,13948.0,108848.0,171637.0,1600781080.0,512221956.0,512221956.0,"N",131543.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13949.0,173892.0,171637.0,1600781081.0,512221958.0,512221958.0,"N",131544.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13950.0,223874.0,171637.0,1600781082.0,512221960.0,512221960.0,"N",131545.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13951.0,228894.0,171637.0,1600781083.0,512221962.0,512221962.0,"N",131546.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13952.0,228894.0,171763.0,1600781084.0,512221964.0,512221964.0,"N",131547.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13953.0,228894.0,183729.0,1600781085.0,512221966.0,512221966.0,"N",131548.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,600.0,"N",5.0,13954.0,228894.0,94633.0,1600781086.0,512221968.0,512221968.0,"N",131549.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13955.0,228894.0,204698.0,1600781087.0,512221970.0,512221970.0,"N",131550.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13956.0,228894.0,227169.0,1600781088.0,512221972.0,512221972.0,"N",131551.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,4400.0,"N",5.0,13957.0,228894.0,227349.0,1600781089.0,512221974.0,512221974.0,"N",131552.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1333.0,"N",5.0,13958.0,228894.0,227502.0,1600781090.0,512221976.0,512221976.0,"N",131553.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,4000.0,"N",5.0,13959.0,228894.0,227832.0,1600781091.0,512221978.0,512221978.0,"N",131554.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1500.0,"N",5.0,13960.0,228894.0,176491.0,1600781092.0,512221980.0,512221980.0,"N",131555.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2200.0,"N",5.0,13961.0,228894.0,179359.0,1600781093.0,512221982.0,512221982.0,"N",131556.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13962.0,228894.0,180509.0,1600781094.0,512221983.0,512221983.0,"N",131557.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13963.0,228894.0,182047.0,1600781095.0,512221985.0,512221985.0,"N",131558.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13964.0,228894.0,225255.0,1600781096.0,512221987.0,512221987.0,"N",131559.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2700.0,"N",5.0,13965.0,228894.0,159257.0,1600781097.0,512221989.0,512221989.0,"N",131560.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1500.0,"N",5.0,13966.0,228894.0,192167.0,1600781098.0,512221991.0,512221991.0,"N",131561.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,4700.0,"N",5.0,13967.0,228894.0,193069.0,1600781099.0,512221993.0,512221993.0,"N",131562.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13968.0,228894.0,199946.0,1600781100.0,512221995.0,512221995.0,"N",131563.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13969.0,228894.0,223594.0,1600781101.0,512221997.0,512221997.0,"N",131564.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13970.0,228894.0,186461.0,1600781102.0,512221999.0,512221999.0,"N",131565.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,13971.0,228894.0,144395.0,1600781103.0,512222001.0,512222001.0,"N",131566.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,3000.0,"N",5.0,13972.0,228894.0,212191.0,1600781104.0,512222003.0,512222003.0,"N",131567.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,13973.0,228894.0,219800.0,1600781105.0,512222005.0,512222005.0,"N",131568.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,13974.0,228894.0,53198.0,1600781106.0,512222007.0,512222007.0,"N",131569.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13975.0,228894.0,186418.0,1600781107.0,512222008.0,512222008.0,"N",131570.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,10000.0,"N",5.0,13976.0,228894.0,225024.0,1600781108.0,512222008.0,512222008.0,"N",131571.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13977.0,228894.0,226826.0,1600781109.0,512222028.0,512222028.0,"N",131572.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13978.0,228894.0,6191.0,1600781110.0,512222030.0,512222030.0,"N",131573.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13979.0,228894.0,32709.0,1600781111.0,512222031.0,512222031.0,"N",131574.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,13980.0,228894.0,41545.0,1600781112.0,512222032.0,512222032.0,"N",131575.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,9400.0,"N",5.0,13981.0,228894.0,105187.0,1600781113.0,512222033.0,512222033.0,"N",131576.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13982.0,228894.0,210020.0,1600781114.0,512222033.0,512222033.0,"N",131577.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,13983.0,228894.0,218652.0,1600781115.0,512222034.0,512222034.0,"N",131578.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,767.0,"N",5.0,13984.0,228894.0,222077.0,1600781116.0,512222035.0,512222035.0,"N",131579.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,33.0,"N",5.0,13985.0,228897.0,222077.0,1600781117.0,512222035.0,512222035.0,"N",131580.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13986.0,228897.0,182463.0,1600781118.0,512222036.0,512222036.0,"N",131581.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,13987.0,228897.0,202893.0,1600781119.0,512222042.0,512222042.0,"N",131582.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13988.0,228897.0,202997.0,1600781120.0,512222044.0,512222044.0,"N",131583.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13989.0,228897.0,206771.0,1600781121.0,512222047.0,512222047.0,"N",131584.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,767.0,"N",5.0,13990.0,228897.0,209568.0,1600781122.0,512222047.0,512222047.0,"N",131585.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,233.0,"N",5.0,13991.0,228899.0,209568.0,1600781123.0,512222053.0,512222053.0,"N",131586.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,3000.0,"N",5.0,13992.0,228899.0,212809.0,1600781124.0,512222054.0,512222054.0,"N",131587.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,13993.0,228899.0,213551.0,1600781125.0,512222055.0,512222055.0,"N",131588.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13994.0,228899.0,214370.0,1600781126.0,512222055.0,512222056.0,"N",131589.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13995.0,228899.0,217539.0,1600781127.0,512222056.0,512222056.0,"N",131590.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,13996.0,228899.0,218375.0,1600781128.0,512222057.0,512222057.0,"N",131591.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,13997.0,228899.0,62045.0,1600781129.0,512222058.0,512222058.0,"N",131592.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2700.0,"N",5.0,13998.0,228899.0,225322.0,1600781130.0,512222059.0,512222059.0,"N",131593.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,8900.0,"N",5.0,13999.0,228899.0,220252.0,1600781131.0,512222059.0,512222059.0,"N",131594.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,5000.0,"N",5.0,14000.0,228899.0,221928.0,1600781132.0,512222060.0,512222060.0,"N",131595.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14001.0,228899.0,221977.0,1600781133.0,512222061.0,512222061.0,"N",131596.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14002.0,228899.0,63584.0,1600781134.0,512222061.0,512222062.0,"N",131597.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14003.0,228899.0,224215.0,1600781135.0,512222068.0,512222068.0,"N",131598.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2100.0,"N",5.0,14004.0,228899.0,225003.0,1600781136.0,512222069.0,512222069.0,"N",131599.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14005.0,228899.0,179710.0,1600781137.0,512222070.0,512222070.0,"N",131600.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14006.0,228899.0,62046.0,1600781138.0,512222071.0,512222071.0,"N",131601.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,700.0,"N",5.0,14007.0,228899.0,224762.0,1600781139.0,512222072.0,512222072.0,"N",131602.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,600.0,"N",5.0,14008.0,228899.0,225780.0,1600781140.0,512222072.0,512222072.0,"N",131603.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,14009.0,228899.0,228048.0,1600781141.0,512222073.0,512222073.0,"N",131604.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14010.0,228899.0,32710.0,1600781142.0,512222074.0,512222074.0,"N",131605.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,14011.0,228899.0,130340.0,1600781143.0,512222075.0,512222075.0,"N",131606.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14012.0,228899.0,176768.0,1600781144.0,512222075.0,512222075.0,"N",131607.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14013.0,228899.0,62049.0,1600781145.0,512222076.0,512222076.0,"N",131608.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,800.0,"N",5.0,14014.0,228899.0,177524.0,1600781146.0,512222077.0,512222077.0,"N",131609.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14015.0,228899.0,181229.0,1600781147.0,512222078.0,512222078.0,"N",131610.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14016.0,228899.0,41053.0,1600781148.0,512222078.0,512222078.0,"N",131611.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14017.0,228899.0,201890.0,1600781149.0,512222079.0,512222079.0,"N",131612.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,14018.0,228899.0,3587.0,1600781150.0,512222080.0,512222080.0,"N",131613.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14019.0,228899.0,41028.0,1600781151.0,512222081.0,512222081.0,"N",131614.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14020.0,228899.0,63585.0,1600781152.0,512222083.0,512222083.0,"N",131615.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14021.0,228899.0,218421.0,1600781153.0,512222091.0,512222091.0,"N",131616.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14022.0,228899.0,167040.0,1600781154.0,512222092.0,512222092.0,"N",131617.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14023.0,228899.0,34308.0,1600781155.0,512222093.0,512222093.0,"N",131618.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14024.0,228899.0,62050.0,1600781156.0,512222094.0,512222094.0,"N",131619.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1100.0,"N",5.0,14025.0,228899.0,166014.0,1600781157.0,512222095.0,512222095.0,"N",131620.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14026.0,228899.0,202364.0,1600781158.0,512222095.0,512222095.0,"N",131621.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14027.0,228899.0,214924.0,1600781159.0,512222096.0,512222096.0,"N",131622.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14028.0,228899.0,226028.0,1600781160.0,512222097.0,512222097.0,"N",131623.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14029.0,228899.0,32711.0,1600781161.0,512222097.0,512222098.0,"N",131624.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14030.0,228899.0,76807.0,1600781162.0,512222098.0,512222098.0,"N",131625.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14031.0,228899.0,150649.0,1600781163.0,512222099.0,512222099.0,"N",131626.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14032.0,228899.0,71032.0,1600781164.0,512222099.0,512222099.0,"N",131627.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14033.0,228899.0,83193.0,1600781165.0,512222100.0,512222100.0,"N",131628.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,867.0,"N",5.0,14034.0,228899.0,140568.0,1600781166.0,512222101.0,512222101.0,"N",131629.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,3400.0,"N",5.0,14035.0,228902.0,140568.0,1600781167.0,512222101.0,512222102.0,"N",131630.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14036.0,215644.0,140568.0,1600781168.0,512222102.0,512222102.0,"N",131631.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2133.0,"N",5.0,14037.0,223828.0,140568.0,1600781169.0,512222103.0,512222103.0,"N",131632.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14038.0,223828.0,179126.0,1600781170.0,512222104.0,512222104.0,"N",131633.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14039.0,223828.0,205582.0,1600781171.0,512222109.0,512222109.0,"N",131634.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14040.0,223828.0,216581.0,1600781172.0,512222110.0,512222110.0,"N",131635.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14041.0,223828.0,12989.0,1600781173.0,512222111.0,512222111.0,"N",131636.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14042.0,223828.0,62047.0,1600781174.0,512222112.0,512222112.0,"N",131637.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14043.0,223828.0,62048.0,1600781175.0,512222112.0,512222112.0,"N",131638.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,67.0,"N",5.0,14044.0,223828.0,135040.0,1600781176.0,512222113.0,512222113.0,"N",131639.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14045.0,220953.0,135040.0,1600781177.0,512222131.0,512222131.0,"N",131640.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,33.0,"N",5.0,14046.0,106911.0,135040.0,1600781178.0,512222133.0,512222133.0,"N",131641.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14047.0,106911.0,192893.0,1600781179.0,512222134.0,512222134.0,"N",131642.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,167.0,"N",5.0,14048.0,106911.0,63586.0,1600781180.0,512222137.0,512222137.0,"N",131643.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,833.0,"N",5.0,14049.0,220739.0,63586.0,1600781181.0,512222139.0,512222139.0,"N",131644.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2700.0,"N",5.0,14050.0,220739.0,12652.0,1600781182.0,512222140.0,512222140.0,"N",131645.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14051.0,220739.0,109385.0,1600781183.0,512222143.0,512222143.0,"N",131646.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,700.0,"N",5.0,14052.0,220739.0,216747.0,1600781184.0,512222145.0,512222145.0,"N",131647.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14053.0,220739.0,12990.0,1600781185.0,512222146.0,512222146.0,"N",131648.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14054.0,220739.0,61809.0,1600781186.0,512222148.0,512222148.0,"N",131649.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14055.0,220739.0,62051.0,1600781187.0,512222149.0,512222149.0,"N",131650.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14056.0,220739.0,165534.0,1600781188.0,512222150.0,512222150.0,"N",131651.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,14057.0,220739.0,198784.0,1600781189.0,512222156.0,512222156.0,"N",131652.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14058.0,220739.0,32712.0,1600781190.0,512222158.0,512222158.0,"N",131653.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,14059.0,220739.0,41546.0,1600781191.0,512222160.0,512222160.0,"N",131654.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2400.0,"N",5.0,14060.0,220739.0,214219.0,1600781192.0,512222162.0,512222162.0,"N",131655.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,8900.0,"N",5.0,14061.0,220739.0,75249.0,1600781193.0,512222164.0,512222164.0,"N",131656.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,800.0,"N",5.0,14062.0,220739.0,115157.0,1600781194.0,512222166.0,512222166.0,"N",131657.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2200.0,"N",5.0,14063.0,220739.0,170983.0,1600781195.0,512222168.0,512222168.0,"N",131658.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14064.0,220739.0,188284.0,1600781196.0,512222170.0,512222170.0,"N",131659.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14065.0,220739.0,208374.0,1600781197.0,512222172.0,512222172.0,"N",131660.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,4000.0,"N",5.0,14066.0,220739.0,212016.0,1600781198.0,512222174.0,512222174.0,"N",131661.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14067.0,220739.0,205044.0,1600781199.0,512222176.0,512222176.0,"N",131662.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14068.0,220739.0,207106.0,1600781200.0,512222178.0,512222178.0,"N",131663.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14069.0,220739.0,22366.0,1600781201.0,512222180.0,512222180.0,"N",131664.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14070.0,220739.0,62052.0,1600781202.0,512222182.0,512222182.0,"N",131665.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14071.0,220739.0,153017.0,1600781203.0,512222184.0,512222184.0,"N",131666.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14072.0,220739.0,209919.0,1600781204.0,512222186.0,512222186.0,"N",131667.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14073.0,220739.0,213931.0,1600781205.0,512222188.0,512222188.0,"N",131668.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,300.0,"N",5.0,14074.0,220739.0,144375.0,1600781206.0,512222190.0,512222190.0,"N",131669.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,14075.0,220739.0,190115.0,1600781207.0,512222192.0,512222192.0,"N",131670.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,2000.0,"N",5.0,14076.0,220739.0,203179.0,1600781208.0,512222193.0,512222194.0,"N",131671.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14077.0,220739.0,42575.0,1600781209.0,512222195.0,512222195.0,"N",131672.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14078.0,220739.0,109383.0,1600781210.0,512222198.0,512222198.0,"N",131673.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,400.0,"N",5.0,14079.0,220739.0,139296.0,1600781211.0,512222200.0,512222200.0,"N",131674.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14080.0,220739.0,12991.0,1600781212.0,512222202.0,512222202.0,"N",131675.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14081.0,220739.0,63754.0,1600781213.0,512222203.0,512222203.0,"N",131676.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14082.0,220739.0,96471.0,1600781214.0,512222207.0,512222207.0,"N",131677.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14083.0,220739.0,193136.0,1600781215.0,512222208.0,512222208.0,"N",131678.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14084.0,220739.0,32713.0,1600781216.0,512222210.0,512222210.0,"N",131679.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,1000.0,"N",5.0,14085.0,220739.0,63587.0,1600781217.0,512222212.0,512222212.0,"N",131680.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14086.0,220739.0,12992.0,1600781218.0,512222215.0,512222215.0,"N",131681.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,500.0,"N",5.0,14087.0,220739.0,63755.0,1600781219.0,512222217.0,512222217.0,"N",131682.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14088.0,220739.0,84942.0,1600781220.0,512222218.0,512222218.0,"N",131683.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,600.0,"N",5.0,14089.0,220739.0,99310.0,1600781221.0,512222219.0,512222219.0,"N",131684.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14090.0,220739.0,107389.0,1600781222.0,512222220.0,512222220.0,"N",131685.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,200.0,"N",5.0,14091.0,220739.0,148978.0,1600781223.0,512222220.0,512222220.0,"N",131686.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,100.0,"N",5.0,14092.0,220739.0,208949.0,1600781224.0,512222226.0,512222226.0,"N",131687.0
"trans_1_600884",1,600884,"2010-01-21 9:25:00.98",33.4600000000,5867.0,"N",5.0,14093.0,220739.0,219098.0,1600781225.0,512222228.0,512222228.0,"N",131688.0
"trans_1_600885",1,600885,"2010-01-21 9:25:00.98",74.7700000000,100.0,"N",5.0,14094.0,218502.0,88013.0,1600781226.0,512222230.0,512222230.0,"N",131887.0
"trans_1_600885",1,600885,"2010-01-21 9:25:00.98",74.7700000000,100.0,"N",5.0,14095.0,174159.0,88013.0,1600781227.0,512222232.0,512222232.0,"N",131888.0
"trans_1_600885",1,600885,"2010-01-21 9:25:00.98",74.7700000000,100.0,"N",5.0,14096.0,210980.0,88013.0,1600781228.0,512222234.0,512222234.0,"N",131889.0
1 trans_1_600739 1 600739 2010-01-21 9:25:00.98 19.5900000000 500.0 N 5.0 13862.0 224487.0 222710.0 1600780994.0 512221364.0 512221364.0 N 129826.0
2 trans_1_600739 1 600739 2010-01-21 9:25:00.98 19.5900000000 6000.0 N 5.0 13863.0 226580.0 222710.0 1600780995.0 512221364.0 512221364.0 N 129827.0
3 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13864.0 170994.0 1168.0 1600780996.0 512221370.0 512221370.0 N 131459.0
4 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13865.0 170994.0 150343.0 1600780997.0 512221371.0 512221371.0 N 131460.0
5 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13866.0 170994.0 170676.0 1600780998.0 512221372.0 512221372.0 N 131461.0
6 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13867.0 170994.0 171073.0 1600780999.0 512221372.0 512221372.0 N 131462.0
7 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13868.0 170994.0 171164.0 1600781000.0 512221373.0 512221373.0 N 131463.0
8 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13869.0 170994.0 171290.0 1600781001.0 512221374.0 512221374.0 N 131464.0
9 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13870.0 170994.0 171349.0 1600781002.0 512221375.0 512221375.0 N 131465.0
10 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13871.0 170994.0 184934.0 1600781003.0 512221376.0 512221376.0 N 131466.0
11 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13872.0 189376.0 72622.0 1600781004.0 512221376.0 512221376.0 N 131467.0
12 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 13873.0 190234.0 72622.0 1600781005.0 512221377.0 512221377.0 N 131468.0
13 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 600.0 N 5.0 13874.0 193816.0 72622.0 1600781006.0 512221378.0 512221378.0 N 131469.0
14 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13875.0 206794.0 72622.0 1600781007.0 512221378.0 512221378.0 N 131470.0
15 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 13876.0 208785.0 72622.0 1600781008.0 512221379.0 512221379.0 N 131471.0
16 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13877.0 212908.0 72622.0 1600781009.0 512221380.0 512221380.0 N 131472.0
17 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13878.0 215154.0 72622.0 1600781010.0 512221384.0 512221385.0 N 131473.0
18 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13879.0 215217.0 72622.0 1600781011.0 512221386.0 512221386.0 N 131474.0
19 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 700.0 N 5.0 13880.0 218560.0 72622.0 1600781012.0 512221386.0 512221386.0 N 131475.0
20 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13881.0 217936.0 72622.0 1600781013.0 512221387.0 512221387.0 N 131476.0
21 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1500.0 N 5.0 13882.0 168303.0 72622.0 1600781014.0 512221388.0 512221388.0 N 131477.0
22 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13883.0 205862.0 72622.0 1600781015.0 512221389.0 512221389.0 N 131478.0
23 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 700.0 N 5.0 13884.0 227586.0 72622.0 1600781016.0 512221390.0 512221390.0 N 131479.0
24 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13885.0 228163.0 72622.0 1600781017.0 512221876.0 512221876.0 N 131480.0
25 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13886.0 228163.0 184394.0 1600781018.0 512221877.0 512221877.0 N 131481.0
26 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 13887.0 228163.0 218053.0 1600781019.0 512221878.0 512221878.0 N 131482.0
27 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 13888.0 202432.0 218053.0 1600781020.0 512221879.0 512221879.0 N 131483.0
28 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13889.0 202432.0 210583.0 1600781021.0 512221880.0 512221880.0 N 131484.0
29 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13890.0 223452.0 210583.0 1600781022.0 512221881.0 512221881.0 N 131485.0
30 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 13891.0 224091.0 210583.0 1600781023.0 512221881.0 512221881.0 N 131486.0
31 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13892.0 174039.0 210583.0 1600781024.0 512221882.0 512221882.0 N 131487.0
32 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13893.0 174169.0 211003.0 1600781025.0 512221883.0 512221883.0 N 131488.0
33 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 13894.0 174169.0 211027.0 1600781026.0 512221883.0 512221883.0 N 131489.0
34 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13895.0 174169.0 175330.0 1600781027.0 512221884.0 512221884.0 N 131490.0
35 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13896.0 174169.0 175361.0 1600781028.0 512221885.0 512221885.0 N 131491.0
36 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 13897.0 174169.0 5427.0 1600781029.0 512221886.0 512221886.0 N 131492.0
37 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 13898.0 174169.0 104968.0 1600781030.0 512221886.0 512221886.0 N 131493.0
38 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13899.0 174169.0 197157.0 1600781031.0 512221887.0 512221887.0 N 131494.0
39 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 900.0 N 5.0 13900.0 174169.0 213073.0 1600781032.0 512221888.0 512221888.0 N 131495.0
40 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 13901.0 174202.0 213073.0 1600781033.0 512221889.0 512221889.0 N 131496.0
41 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 13902.0 156858.0 213073.0 1600781034.0 512221889.0 512221889.0 N 131497.0
42 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 13903.0 221850.0 213073.0 1600781035.0 512221890.0 512221890.0 N 131498.0
43 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 13904.0 15931.0 213073.0 1600781036.0 512221891.0 512221891.0 N 131499.0
44 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1200.0 N 5.0 13905.0 173320.0 213073.0 1600781037.0 512221892.0 512221892.0 N 131500.0
45 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1200.0 N 5.0 13906.0 187298.0 213073.0 1600781038.0 512221898.0 512221898.0 N 131501.0
46 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 13907.0 187298.0 189061.0 1600781039.0 512221899.0 512221899.0 N 131502.0
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53 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1700.0 N 5.0 13914.0 226770.0 176213.0 1600781046.0 512221909.0 512221909.0 N 131509.0
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137 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2700.0 N 5.0 13998.0 228899.0 225322.0 1600781130.0 512222059.0 512222059.0 N 131593.0
138 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 8900.0 N 5.0 13999.0 228899.0 220252.0 1600781131.0 512222059.0 512222059.0 N 131594.0
139 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 5000.0 N 5.0 14000.0 228899.0 221928.0 1600781132.0 512222060.0 512222060.0 N 131595.0
140 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14001.0 228899.0 221977.0 1600781133.0 512222061.0 512222061.0 N 131596.0
141 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14002.0 228899.0 63584.0 1600781134.0 512222061.0 512222062.0 N 131597.0
142 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14003.0 228899.0 224215.0 1600781135.0 512222068.0 512222068.0 N 131598.0
143 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2100.0 N 5.0 14004.0 228899.0 225003.0 1600781136.0 512222069.0 512222069.0 N 131599.0
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145 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14006.0 228899.0 62046.0 1600781138.0 512222071.0 512222071.0 N 131601.0
146 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 700.0 N 5.0 14007.0 228899.0 224762.0 1600781139.0 512222072.0 512222072.0 N 131602.0
147 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 600.0 N 5.0 14008.0 228899.0 225780.0 1600781140.0 512222072.0 512222072.0 N 131603.0
148 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 14009.0 228899.0 228048.0 1600781141.0 512222073.0 512222073.0 N 131604.0
149 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14010.0 228899.0 32710.0 1600781142.0 512222074.0 512222074.0 N 131605.0
150 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2000.0 N 5.0 14011.0 228899.0 130340.0 1600781143.0 512222075.0 512222075.0 N 131606.0
151 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14012.0 228899.0 176768.0 1600781144.0 512222075.0 512222075.0 N 131607.0
152 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14013.0 228899.0 62049.0 1600781145.0 512222076.0 512222076.0 N 131608.0
153 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 800.0 N 5.0 14014.0 228899.0 177524.0 1600781146.0 512222077.0 512222077.0 N 131609.0
154 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14015.0 228899.0 181229.0 1600781147.0 512222078.0 512222078.0 N 131610.0
155 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14016.0 228899.0 41053.0 1600781148.0 512222078.0 512222078.0 N 131611.0
156 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14017.0 228899.0 201890.0 1600781149.0 512222079.0 512222079.0 N 131612.0
157 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 14018.0 228899.0 3587.0 1600781150.0 512222080.0 512222080.0 N 131613.0
158 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14019.0 228899.0 41028.0 1600781151.0 512222081.0 512222081.0 N 131614.0
159 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14020.0 228899.0 63585.0 1600781152.0 512222083.0 512222083.0 N 131615.0
160 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14021.0 228899.0 218421.0 1600781153.0 512222091.0 512222091.0 N 131616.0
161 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14022.0 228899.0 167040.0 1600781154.0 512222092.0 512222092.0 N 131617.0
162 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14023.0 228899.0 34308.0 1600781155.0 512222093.0 512222093.0 N 131618.0
163 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14024.0 228899.0 62050.0 1600781156.0 512222094.0 512222094.0 N 131619.0
164 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1100.0 N 5.0 14025.0 228899.0 166014.0 1600781157.0 512222095.0 512222095.0 N 131620.0
165 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14026.0 228899.0 202364.0 1600781158.0 512222095.0 512222095.0 N 131621.0
166 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14027.0 228899.0 214924.0 1600781159.0 512222096.0 512222096.0 N 131622.0
167 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14028.0 228899.0 226028.0 1600781160.0 512222097.0 512222097.0 N 131623.0
168 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14029.0 228899.0 32711.0 1600781161.0 512222097.0 512222098.0 N 131624.0
169 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14030.0 228899.0 76807.0 1600781162.0 512222098.0 512222098.0 N 131625.0
170 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14031.0 228899.0 150649.0 1600781163.0 512222099.0 512222099.0 N 131626.0
171 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14032.0 228899.0 71032.0 1600781164.0 512222099.0 512222099.0 N 131627.0
172 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14033.0 228899.0 83193.0 1600781165.0 512222100.0 512222100.0 N 131628.0
173 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 867.0 N 5.0 14034.0 228899.0 140568.0 1600781166.0 512222101.0 512222101.0 N 131629.0
174 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 3400.0 N 5.0 14035.0 228902.0 140568.0 1600781167.0 512222101.0 512222102.0 N 131630.0
175 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14036.0 215644.0 140568.0 1600781168.0 512222102.0 512222102.0 N 131631.0
176 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2133.0 N 5.0 14037.0 223828.0 140568.0 1600781169.0 512222103.0 512222103.0 N 131632.0
177 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14038.0 223828.0 179126.0 1600781170.0 512222104.0 512222104.0 N 131633.0
178 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14039.0 223828.0 205582.0 1600781171.0 512222109.0 512222109.0 N 131634.0
179 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14040.0 223828.0 216581.0 1600781172.0 512222110.0 512222110.0 N 131635.0
180 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14041.0 223828.0 12989.0 1600781173.0 512222111.0 512222111.0 N 131636.0
181 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14042.0 223828.0 62047.0 1600781174.0 512222112.0 512222112.0 N 131637.0
182 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14043.0 223828.0 62048.0 1600781175.0 512222112.0 512222112.0 N 131638.0
183 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 67.0 N 5.0 14044.0 223828.0 135040.0 1600781176.0 512222113.0 512222113.0 N 131639.0
184 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14045.0 220953.0 135040.0 1600781177.0 512222131.0 512222131.0 N 131640.0
185 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 33.0 N 5.0 14046.0 106911.0 135040.0 1600781178.0 512222133.0 512222133.0 N 131641.0
186 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14047.0 106911.0 192893.0 1600781179.0 512222134.0 512222134.0 N 131642.0
187 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 167.0 N 5.0 14048.0 106911.0 63586.0 1600781180.0 512222137.0 512222137.0 N 131643.0
188 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 833.0 N 5.0 14049.0 220739.0 63586.0 1600781181.0 512222139.0 512222139.0 N 131644.0
189 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2700.0 N 5.0 14050.0 220739.0 12652.0 1600781182.0 512222140.0 512222140.0 N 131645.0
190 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14051.0 220739.0 109385.0 1600781183.0 512222143.0 512222143.0 N 131646.0
191 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 700.0 N 5.0 14052.0 220739.0 216747.0 1600781184.0 512222145.0 512222145.0 N 131647.0
192 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14053.0 220739.0 12990.0 1600781185.0 512222146.0 512222146.0 N 131648.0
193 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14054.0 220739.0 61809.0 1600781186.0 512222148.0 512222148.0 N 131649.0
194 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14055.0 220739.0 62051.0 1600781187.0 512222149.0 512222149.0 N 131650.0
195 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14056.0 220739.0 165534.0 1600781188.0 512222150.0 512222150.0 N 131651.0
196 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2000.0 N 5.0 14057.0 220739.0 198784.0 1600781189.0 512222156.0 512222156.0 N 131652.0
197 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14058.0 220739.0 32712.0 1600781190.0 512222158.0 512222158.0 N 131653.0
198 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2000.0 N 5.0 14059.0 220739.0 41546.0 1600781191.0 512222160.0 512222160.0 N 131654.0
199 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2400.0 N 5.0 14060.0 220739.0 214219.0 1600781192.0 512222162.0 512222162.0 N 131655.0
200 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 8900.0 N 5.0 14061.0 220739.0 75249.0 1600781193.0 512222164.0 512222164.0 N 131656.0
201 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 800.0 N 5.0 14062.0 220739.0 115157.0 1600781194.0 512222166.0 512222166.0 N 131657.0
202 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2200.0 N 5.0 14063.0 220739.0 170983.0 1600781195.0 512222168.0 512222168.0 N 131658.0
203 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14064.0 220739.0 188284.0 1600781196.0 512222170.0 512222170.0 N 131659.0
204 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14065.0 220739.0 208374.0 1600781197.0 512222172.0 512222172.0 N 131660.0
205 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 4000.0 N 5.0 14066.0 220739.0 212016.0 1600781198.0 512222174.0 512222174.0 N 131661.0
206 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14067.0 220739.0 205044.0 1600781199.0 512222176.0 512222176.0 N 131662.0
207 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14068.0 220739.0 207106.0 1600781200.0 512222178.0 512222178.0 N 131663.0
208 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14069.0 220739.0 22366.0 1600781201.0 512222180.0 512222180.0 N 131664.0
209 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14070.0 220739.0 62052.0 1600781202.0 512222182.0 512222182.0 N 131665.0
210 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14071.0 220739.0 153017.0 1600781203.0 512222184.0 512222184.0 N 131666.0
211 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14072.0 220739.0 209919.0 1600781204.0 512222186.0 512222186.0 N 131667.0
212 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14073.0 220739.0 213931.0 1600781205.0 512222188.0 512222188.0 N 131668.0
213 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 300.0 N 5.0 14074.0 220739.0 144375.0 1600781206.0 512222190.0 512222190.0 N 131669.0
214 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2000.0 N 5.0 14075.0 220739.0 190115.0 1600781207.0 512222192.0 512222192.0 N 131670.0
215 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 2000.0 N 5.0 14076.0 220739.0 203179.0 1600781208.0 512222193.0 512222194.0 N 131671.0
216 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14077.0 220739.0 42575.0 1600781209.0 512222195.0 512222195.0 N 131672.0
217 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14078.0 220739.0 109383.0 1600781210.0 512222198.0 512222198.0 N 131673.0
218 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 400.0 N 5.0 14079.0 220739.0 139296.0 1600781211.0 512222200.0 512222200.0 N 131674.0
219 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14080.0 220739.0 12991.0 1600781212.0 512222202.0 512222202.0 N 131675.0
220 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14081.0 220739.0 63754.0 1600781213.0 512222203.0 512222203.0 N 131676.0
221 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14082.0 220739.0 96471.0 1600781214.0 512222207.0 512222207.0 N 131677.0
222 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14083.0 220739.0 193136.0 1600781215.0 512222208.0 512222208.0 N 131678.0
223 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14084.0 220739.0 32713.0 1600781216.0 512222210.0 512222210.0 N 131679.0
224 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 1000.0 N 5.0 14085.0 220739.0 63587.0 1600781217.0 512222212.0 512222212.0 N 131680.0
225 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14086.0 220739.0 12992.0 1600781218.0 512222215.0 512222215.0 N 131681.0
226 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 500.0 N 5.0 14087.0 220739.0 63755.0 1600781219.0 512222217.0 512222217.0 N 131682.0
227 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14088.0 220739.0 84942.0 1600781220.0 512222218.0 512222218.0 N 131683.0
228 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 600.0 N 5.0 14089.0 220739.0 99310.0 1600781221.0 512222219.0 512222219.0 N 131684.0
229 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14090.0 220739.0 107389.0 1600781222.0 512222220.0 512222220.0 N 131685.0
230 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 200.0 N 5.0 14091.0 220739.0 148978.0 1600781223.0 512222220.0 512222220.0 N 131686.0
231 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 100.0 N 5.0 14092.0 220739.0 208949.0 1600781224.0 512222226.0 512222226.0 N 131687.0
232 trans_1_600884 1 600884 2010-01-21 9:25:00.98 33.4600000000 5867.0 N 5.0 14093.0 220739.0 219098.0 1600781225.0 512222228.0 512222228.0 N 131688.0
233 trans_1_600885 1 600885 2010-01-21 9:25:00.98 74.7700000000 100.0 N 5.0 14094.0 218502.0 88013.0 1600781226.0 512222230.0 512222230.0 N 131887.0
234 trans_1_600885 1 600885 2010-01-21 9:25:00.98 74.7700000000 100.0 N 5.0 14095.0 174159.0 88013.0 1600781227.0 512222232.0 512222232.0 N 131888.0
235 trans_1_600885 1 600885 2010-01-21 9:25:00.98 74.7700000000 100.0 N 5.0 14096.0 210980.0 88013.0 1600781228.0 512222234.0 512222234.0 N 131889.0

11
tests/system-test/6-cluster/vnode/4dnode1mnode_basic_replica3_vgroups.py
View File

@ -191,12 +191,21 @@ class TDTestCase:
tdSql.execute(create_db_replica_3_vgroups_100)
self.vote_leader_time_costs(db3)
def test_TS_5968(self):
conn = TDCom().newTdSql()
sql = "select db_name,sum(columns-1) from information_schema.ins_tables group by db_name"
conn.query(sql, queryTimes=10)
balance_sql = "balance vgroup leader database db_2"
tdSql.execute(balance_sql, queryTimes=1)
conn.query(sql, queryTimes=10)
tdLog.info("waiting for catalog update finished")
conn.close()
def run(self):
self.check_setup_cluster_status()
self.test_init_vgroups_time_costs()
self.test_TS_5968()
def stop(self):

4
tools/shell/src/shellEngine.c
View File

@ -672,7 +672,7 @@ void shellPrintField(const char *val, TAOS_FIELD *field, int32_t width, int32_t
if (tsEnableScience) {
printf("%*.7e", width, GET_FLOAT_VAL(val));
} else {
n = tsnprintf(buf, LENGTH, "%*.7f", width, GET_FLOAT_VAL(val));
n = snprintf(buf, LENGTH, "%*.*g", width, FLT_DIG, GET_FLOAT_VAL(val));
if (n > SHELL_FLOAT_WIDTH) {
printf("%*.7e", width, GET_FLOAT_VAL(val));
} else {
@ -685,7 +685,7 @@ void shellPrintField(const char *val, TAOS_FIELD *field, int32_t width, int32_t
snprintf(buf, LENGTH, "%*.15e", width, GET_DOUBLE_VAL(val));
printf("%s", buf);
} else {
n = tsnprintf(buf, LENGTH, "%*.15f", width, GET_DOUBLE_VAL(val));
n = snprintf(buf, LENGTH, "%*.*g", width, DBL_DIG, GET_DOUBLE_VAL(val));
if (n > SHELL_DOUBLE_WIDTH) {
printf("%*.15e", width, GET_DOUBLE_VAL(val));
} else {