Merge branch '3.0' into feature/3.0_interval_hash_optimize
This commit is contained in:
Cary Xu
commit
568dc6b444
|
|
@ -0,0 +1,58 @@
|
|||
# 贡献指南
|
||||
|
||||
我们感谢所有开发者提交贡献。随时关注我们，Fork 存储库，报告错误，以及在 GitHub 上提交您的代码。但是，我们希望开发者遵循我们的指南，才能更好的做出贡献。
|
||||
|
||||
## 报告错误
|
||||
|
||||
- 任何用户都可以通过 **[GitHub issue tracker](https://github.com/taosdata/TDengine/issues)** 向我们报告错误。请您对所遇到的问题进行**详细描述**，最好提供重现错误的详细步骤。
|
||||
- 欢迎提供包含由 Bug 生成的日志文件的附录。
|
||||
|
||||
## 需要强调的代码提交规则
|
||||
|
||||
- 在提交代码之前，需要**同意贡献者许可协议（CLA）**。点击 [TaosData CLA](https://cla-assistant.io/taosdata/TDengine) 阅读并签署协议。如果您不接受该协议，请停止提交。
|
||||
- 请在 [GitHub issue tracker](https://github.com/taosdata/TDengine/issues) 中解决问题或添加注册功能。
|
||||
- 如果在 [GitHub issue tracker](https://github.com/taosdata/TDengine/issues) 中没有找到相应的问题或功能，请**创建一个新的 issue**。
|
||||
- 将代码提交到我们的存储库时，请创建**包含问题编号的 PR**。
|
||||
|
||||
## 贡献指南
|
||||
|
||||
1. 请用友好的语气书写。
|
||||
|
||||
2. **主动语态**总体上优于被动语态。主动语态中的句子会突出执行动作的人，而不是被动语态突出动作的接受者。
|
||||
|
||||
3. 文档写作建议
|
||||
|
||||
- 正确拼写产品名称 “TDengine”。 “TD” 用大写字母，“TD” 和 “engine” 之间没有空格 **（正确拼写：TDengine）**。
|
||||
- 在句号或其他标点符号后只留一个空格。
|
||||
|
||||
4. 尽量**使用简单句**，而不是复杂句。
|
||||
|
||||
## 给贡献者的礼品
|
||||
|
||||
只要您是为 TDengine 做贡献的开发者，不管是代码贡献、修复 bug 或功能请求，还是文档更改，您都将会获得一份**特别的贡献者纪念品礼物**！
|
||||
|
||||
<p align="left">
|
||||
<img
|
||||
src="docs/assets/contributing-cup.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
<img
|
||||
src="docs/assets/contributing-notebook.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
<img
|
||||
src="docs/assets/contributing-shirt.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
|
||||
TDengine 社区致力于让更多的开发者理解和使用它。
|
||||
请填写**贡献者提交表**以选择您想收到的礼物。
|
||||
|
||||
- [贡献者提交表](https://page.ma.scrmtech.com/form/index?pf_uid=27715_2095&id=12100)
|
||||
|
||||
## 联系我们
|
||||
|
||||
如果您有什么问题需要解决，或者有什么问题需要解答，可以添加微信：TDengineECO
|
||||
|
|
@ -1,15 +1,64 @@
|
|||
# Contributing
|
||||
|
||||
We appreciate contributions from all developers. Feel free to follow us, fork the repository, report bugs and even submit your code on GitHub. However, we would like developers to follow our guides to contribute for better corporation.
|
||||
We appreciate contributions from all developers. Feel free to follow us, fork the repository, report bugs, and even submit your code on GitHub. However, we would like developers to follow the guidelines in this document to ensure effective cooperation.
|
||||
|
||||
## Report bugs
|
||||
## Reporting a bug
|
||||
|
||||
Any users can report bugs to us through the [github issue tracker](https://github.com/taosdata/TDengine/issues). We appreciate a detailed description of the problem you met. It is better to provide the detailed steps on reproducing the bug. Otherwise, an appendix with log files generated by the bug is welcome.
|
||||
- Any users can report bugs to us through the **[GitHub issue tracker](https://github.com/taosdata/TDengine/issues)**. We would appreciate if you could provide **a detailed description** of the problem you encountered, including steps to reproduce it.
|
||||
|
||||
## Read the contributor license agreement
|
||||
- Attaching log files caused by the bug is really appreciated.
|
||||
|
||||
It is required to agree the Contributor Licence Agreement(CLA) before a user submitting his/her code patch. Follow the [TaosData CLA](https://www.taosdata.com/en/contributor/) link to read through the agreement.
|
||||
## Guidelines for committing code
|
||||
|
||||
## Submit your code
|
||||
- You must agree to the **Contributor License Agreement(CLA) before submitting your code patch**. Follow the **[TAOSData CLA](https://cla-assistant.io/taosdata/TDengine)** link to read through and sign the agreement. If you do not accept the agreement, your contributions cannot be accepted.
|
||||
|
||||
Before submitting your code, make sure to [read the contributor license agreement](#read-the-contributor-license-agreement) beforehand. If you don't accept the aggreement, please stop submitting. Your submission means you have accepted the agreement. Your submission should solve an issue or add a feature registered in the [github issue tracker](https://github.com/taosdata/TDengine/issues). If no corresponding issue or feature is found in the issue tracker, please create one. When submitting your code to our repository, please create a pull request with the issue number included.
|
||||
- Please solve an issue or add a feature registered in the **[GitHub issue tracker](https://github.com/taosdata/TDengine/issues)**.
|
||||
- If no corresponding issue or feature is found in the issue tracker, please **create one**.
|
||||
- When submitting your code to our repository, please create a pull request with the **issue number** included.
|
||||
|
||||
## Guidelines for communicating
|
||||
|
||||
1. Please be **nice and polite** in the description.
|
||||
2. **Active voice is better than passive voice in general**. Sentences in the active voice will highlight who is performing the action rather than the recipient of the action highlighted by the passive voice.
|
||||
3. Documentation writing advice
|
||||
|
||||
- Spell the product name "TDengine" correctly. "TD" is written in capital letters, and there is no space between "TD" and "engine" (**Correct spelling: TDengine**).
|
||||
- Please **capitalize the first letter** of every sentence.
|
||||
- Leave **only one space** after periods or other punctuation marks.
|
||||
- Use **American spelling**.
|
||||
- When possible, **use second person** rather than first person (e.g.“You are recommended to use a reverse proxy such as Nginx.” rather than “We recommend to use a reverse proxy such as Nginx.”).
|
||||
|
||||
5. Use **simple sentences**, rather than complex sentences.
|
||||
|
||||
## Gifts for the contributors
|
||||
|
||||
Developers, as long as you contribute to TDengine, whether it's code contributions to fix bugs or feature requests, or documentation changes, **you are eligible for a very special Contributor Souvenir Gift!**
|
||||
|
||||
**You can choose one of the following gifts:**
|
||||
|
||||
<p align="left">
|
||||
<img
|
||||
src="docs/assets/contributing-cup.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
<img
|
||||
src="docs/assets/contributing-notebook.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
<img
|
||||
src="docs/assets/contributing-shirt.jpg"
|
||||
alt=""
|
||||
width="200"
|
||||
/>
|
||||
|
||||
The TDengine community is committed to making TDengine accepted and used by more developers.
|
||||
|
||||
Just fill out the **Contributor Submission Form** to choose your desired gift.
|
||||
|
||||
- [Contributor Submission Form](https://page.ma.scrmtech.com/form/index?pf_uid=27715_2095&id=12100)
|
||||
|
||||
## Contact us
|
||||
|
||||
If you have any problems or questions that need help from us, please feel free to add our WeChat account: TDengineECO.
|
||||
|
|
|
|||
60
Jenkinsfile2
60
Jenkinsfile2
|
|
@ -1,6 +1,7 @@
|
|||
import hudson.model.Result
|
||||
import hudson.model.*;
|
||||
import jenkins.model.CauseOfInterruption
|
||||
docs_only=0
|
||||
node {
|
||||
}
|
||||
|
||||
|
|
@ -29,6 +30,48 @@ def abort_previous(){
|
|||
if (buildNumber > 1) milestone(buildNumber - 1)
|
||||
milestone(buildNumber)
|
||||
}
|
||||
def check_docs() {
|
||||
if (env.CHANGE_URL =~ /\/TDengine\//) {
|
||||
sh '''
|
||||
hostname
|
||||
date
|
||||
env
|
||||
'''
|
||||
sh '''
|
||||
cd ${WKC}
|
||||
git reset --hard
|
||||
git clean -fxd
|
||||
rm -rf examples/rust/
|
||||
git remote prune origin
|
||||
git fetch
|
||||
'''
|
||||
script {
|
||||
sh '''
|
||||
cd ${WKC}
|
||||
git checkout ''' + env.CHANGE_TARGET + '''
|
||||
'''
|
||||
}
|
||||
sh '''
|
||||
cd ${WKC}
|
||||
git pull >/dev/null
|
||||
git fetch origin +refs/pull/${CHANGE_ID}/merge
|
||||
git checkout -qf FETCH_HEAD
|
||||
'''
|
||||
def file_changed = sh (
|
||||
script: '''
|
||||
cd ${WKC}
|
||||
git --no-pager diff --name-only FETCH_HEAD `git merge-base FETCH_HEAD ${CHANGE_TARGET}`|grep -v "^docs/en/"|grep -v "^docs/zh/" || :
|
||||
''',
|
||||
returnStdout: true
|
||||
).trim()
|
||||
if (file_changed == '') {
|
||||
echo "docs PR"
|
||||
docs_only=1
|
||||
} else {
|
||||
echo file_changed
|
||||
}
|
||||
}
|
||||
}
|
||||
def pre_test(){
|
||||
sh '''
|
||||
hostname
|
||||
|
|
@ -307,10 +350,27 @@ pipeline {
|
|||
WKPY = '/var/lib/jenkins/workspace/taos-connector-python'
|
||||
}
|
||||
stages {
|
||||
stage('check') {
|
||||
when {
|
||||
allOf {
|
||||
not { expression { env.CHANGE_BRANCH =~ /docs\// }}
|
||||
not { expression { env.CHANGE_URL =~ /\/TDinternal\// }}
|
||||
}
|
||||
}
|
||||
parallel {
|
||||
stage('check docs') {
|
||||
agent{label " worker03 || slave215 || slave217 || slave219 || Mac_catalina "}
|
||||
steps {
|
||||
check_docs()
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
stage('run test') {
|
||||
when {
|
||||
allOf {
|
||||
not { expression { env.CHANGE_BRANCH =~ /docs\// }}
|
||||
expression { docs_only == 0 }
|
||||
}
|
||||
}
|
||||
parallel {
|
||||
|
|
|
|||
23
README.md
23
README.md
|
|
@ -15,7 +15,6 @@
|
|||
[](https://coveralls.io/github/taosdata/TDengine?branch=develop)
|
||||
[](https://bestpractices.coreinfrastructure.org/projects/4201)
|
||||
|
||||
|
||||
English | [简体中文](README-CN.md) | We are hiring, check [here](https://tdengine.com/careers)
|
||||
|
||||
# What is TDengine？
|
||||
|
|
@ -42,7 +41,7 @@ For user manual, system design and architecture, please refer to [TDengine Docum
|
|||
|
||||
At the moment, TDengine server supports running on Linux, Windows systems.Any OS application can also choose the RESTful interface of taosAdapter to connect the taosd service . TDengine supports X64/ARM64 CPU , and it will support MIPS64, Alpha64, ARM32, RISC-V and other CPU architectures in the future.
|
||||
|
||||
You can choose to install through source code according to your needs, [container](https://docs.taosdata.com/get-started/docker/), [installation package](https://docs.taosdata.com/get-started/package/) or [Kubenetes](https://docs.taosdata.com/deployment/k8s/) to install. This quick guide only applies to installing from source.
|
||||
You can choose to install through source code according to your needs, [container](https://docs.taosdata.com/get-started/docker/), [installation package](https://docs.taosdata.com/get-started/package/) or [Kubernetes](https://docs.taosdata.com/deployment/k8s/) to install. This quick guide only applies to installing from source.
|
||||
|
||||
TDengine provide a few useful tools such as taosBenchmark (was named taosdemo) and taosdump. They were part of TDengine. By default, TDengine compiling does not include taosTools. You can use `cmake .. -DBUILD_TOOLS=true` to make them be compiled with TDengine.
|
||||
|
||||
|
|
@ -58,7 +57,6 @@ sudo apt-get install -y gcc cmake build-essential git libssl-dev
|
|||
|
||||
#### Install build dependencies for taosTools
|
||||
|
||||
|
||||
To build the [taosTools](https://github.com/taosdata/taos-tools) on Ubuntu/Debian, the following packages need to be installed.
|
||||
|
||||
```bash
|
||||
|
|
@ -82,14 +80,13 @@ sudo dnf install -y gcc gcc-c++ make cmake epel-release git openssl-devel
|
|||
|
||||
#### Install build dependencies for taosTools on CentOS
|
||||
|
||||
|
||||
#### CentOS 7.9
|
||||
|
||||
```
|
||||
sudo yum install -y zlib-devel xz-devel snappy-devel jansson jansson-devel pkgconfig libatomic libstdc++-static openssl-devel
|
||||
```
|
||||
|
||||
#### CentOS 8/Rocky Linux
|
||||
#### CentOS 8/Rocky Linux
|
||||
|
||||
```
|
||||
sudo yum install -y epel-release
|
||||
|
|
@ -100,14 +97,14 @@ sudo yum install -y zlib-devel xz-devel snappy-devel jansson jansson-devel pkgco
|
|||
|
||||
Note: Since snappy lacks pkg-config support (refer to [link](https://github.com/google/snappy/pull/86)), it leads a cmake prompt libsnappy not found. But snappy still works well.
|
||||
|
||||
If the powertools installation fails, you can try to use:
|
||||
If the PowerTools installation fails, you can try to use:
|
||||
|
||||
```
|
||||
sudo yum config-manager --set-enabled Powertools
|
||||
sudo yum config-manager --set-enabled powertools
|
||||
```
|
||||
|
||||
### Setup golang environment
|
||||
|
||||
|
||||
TDengine includes a few components like taosAdapter developed by Go language. Please refer to golang.org official documentation for golang environment setup.
|
||||
|
||||
Please use version 1.14+. For the user in China, we recommend using a proxy to accelerate package downloading.
|
||||
|
|
@ -125,7 +122,7 @@ cmake .. -DBUILD_HTTP=false
|
|||
|
||||
### Setup rust environment
|
||||
|
||||
TDengine includes a few compoments developed by Rust language. Please refer to rust-lang.org official documentation for rust environment setup.
|
||||
TDengine includes a few components developed by Rust language. Please refer to rust-lang.org official documentation for rust environment setup.
|
||||
|
||||
## Get the source codes
|
||||
|
||||
|
|
@ -136,7 +133,6 @@ git clone https://github.com/taosdata/TDengine.git
|
|||
cd TDengine
|
||||
```
|
||||
|
||||
|
||||
You can modify the file ~/.gitconfig to use ssh protocol instead of https for better download speed. You will need to upload ssh public key to GitHub first. Please refer to GitHub official documentation for detail.
|
||||
|
||||
```
|
||||
|
|
@ -146,14 +142,12 @@ You can modify the file ~/.gitconfig to use ssh protocol instead of https for be
|
|||
|
||||
## Special Note
|
||||
|
||||
|
||||
[JDBC Connector](https://github.com/taosdata/taos-connector-jdbc)， [Go Connector](https://github.com/taosdata/driver-go)，[Python Connector](https://github.com/taosdata/taos-connector-python)，[Node.js Connector](https://github.com/taosdata/taos-connector-node)，[C# Connector](https://github.com/taosdata/taos-connector-dotnet) ，[Rust Connector](https://github.com/taosdata/taos-connector-rust) and [Grafana plugin](https://github.com/taosdata/grafanaplugin) has been moved to standalone repository.
|
||||
|
||||
## Build TDengine
|
||||
|
||||
### On Linux platform
|
||||
|
||||
|
||||
You can run the bash script `build.sh` to build both TDengine and taosTools including taosBenchmark and taosdump as below:
|
||||
|
||||
```bash
|
||||
|
|
@ -169,7 +163,6 @@ cmake .. -DBUILD_TOOLS=true
|
|||
make
|
||||
```
|
||||
|
||||
|
||||
You can use Jemalloc as memory allocator instead of glibc:
|
||||
|
||||
```
|
||||
|
|
@ -237,7 +230,7 @@ After building successfully, TDengine can be installed by
|
|||
sudo make install
|
||||
```
|
||||
|
||||
Users can find more information about directories installed on the system in the [directory and files](https://docs.taosdata.com/reference/directory/) section.
|
||||
Users can find more information about directories installed on the system in the [directory and files](https://docs.taosdata.com/reference/directory/) section.
|
||||
|
||||
Installing from source code will also configure service management for TDengine.Users can also choose to [install from packages](https://docs.taosdata.com/get-started/package/) for it.
|
||||
|
||||
|
|
@ -309,7 +302,7 @@ Query OK, 2 row(s) in set (0.001700s)
|
|||
|
||||
## Official Connectors
|
||||
|
||||
TDengine provides abundant developing tools for users to develop on TDengine. include C/C++、Java、Python、Go、Node.js、C# 、RESTful ,Follow the links below to find your desired connectors and relevant documentation.
|
||||
TDengine provides abundant developing tools for users to develop on TDengine. Follow the links below to find your desired connectors and relevant documentation.
|
||||
|
||||
- [Java](https://docs.taosdata.com/reference/connector/java/)
|
||||
- [C/C++](https://docs.taosdata.com/reference/connector/cpp/)
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
# libuv
|
||||
ExternalProject_Add(libuv
|
||||
GIT_REPOSITORY https://github.com/libuv/libuv.git
|
||||
GIT_TAG v1.42.0
|
||||
GIT_TAG v1.44.2
|
||||
SOURCE_DIR "${TD_CONTRIB_DIR}/libuv"
|
||||
BINARY_DIR "${TD_CONTRIB_DIR}/libuv"
|
||||
CONFIGURE_COMMAND ""
|
||||
|
|
|
|||
Binary file not shown.
|
After Width: | Height: | Size: 344 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 266 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 258 KiB |
|
|
@ -13,7 +13,7 @@ TDengine greatly improves the efficiency of data ingestion, querying and storage
|
|||
|
||||
If you are a developer, please read the [“Developer Guide”](./develop) carefully. This section introduces the database connection, data modeling, data ingestion, query, continuous query, cache, data subscription, user-defined functions, and other functionality in detail. Sample code is provided for a variety of programming languages. In most cases, you can just copy and paste the sample code, make a few changes to accommodate your application, and it will work.
|
||||
|
||||
We live in the era of big data, and scale-up is unable to meet the growing needs of business. Any modern data system must have the ability to scale out, and clustering has become an indispensable feature of big data systems. Not only did the TDengine team develop the cluster feature, but also decided to open source this important feature. To learn how to deploy, manage and maintain a TDengine cluster please refer to ["cluster"](./cluster).
|
||||
We live in the era of big data, and scale-up is unable to meet the growing needs of business. Any modern data system must have the ability to scale out, and clustering has become an indispensable feature of big data systems. Not only did the TDengine team develop the cluster feature, but also decided to open source this important feature. To learn how to deploy, manage and maintain a TDengine cluster please refer to ["cluster deployment"](../deployment).
|
||||
|
||||
TDengine uses ubiquitious SQL as its query language, which greatly reduces learning costs and migration costs. In addition to the standard SQL, TDengine has extensions to better support time series data analysis. These extensions include functions such as roll up, interpolation and time weighted average, among many others. The ["SQL Reference"](./taos-sql) chapter describes the SQL syntax in detail, and lists the various supported commands and functions.
|
||||
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ title: Introduction
|
|||
toc_max_heading_level: 2
|
||||
---
|
||||
|
||||
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](/develop/cache), [stream processing](/develop/continuous-query), [data subscription](/develop/subscribe) and other functionalities to reduce the system complexity and cost of development and operation.
|
||||
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](../develop/cache), [stream processing](../develop/stream), [data subscription](../develop/tmq) and other functionalities to reduce the system complexity and cost of development and operation.
|
||||
|
||||
This section introduces the major features, competitive advantages, typical use-cases and benchmarks to help you get a high level overview of TDengine.
|
||||
|
||||
|
|
@ -16,9 +16,9 @@ The major features are listed below:
|
|||
3. Support for [all kinds of queries](/develop/query-data), including aggregation, nested query, downsampling, interpolation and others.
|
||||
4. Support for [user defined functions](/develop/udf).
|
||||
5. Support for [caching](/develop/cache). TDengine always saves the last data point in cache, so Redis is not needed in some scenarios.
|
||||
6. Support for [continuous query](/develop/continuous-query).
|
||||
7. Support for [data subscription](/develop/subscribe) with the capability to specify filter conditions.
|
||||
8. Support for [cluster](/cluster/), with the capability of increasing processing power by adding more nodes. High availability is supported by replication.
|
||||
6. Support for [continuous query](../develop/stream).
|
||||
7. Support for [data subscription](../develop/tmq) with the capability to specify filter conditions.
|
||||
8. Support for [cluster](../deployment/), with the capability of increasing processing power by adding more nodes. High availability is supported by replication.
|
||||
9. Provides an interactive [command-line interface](/reference/taos-shell) for management, maintenance and ad-hoc queries.
|
||||
10. Provides many ways to [import](/operation/import) and [export](/operation/export) data.
|
||||
11. Provides [monitoring](/operation/monitor) on running instances of TDengine.
|
||||
|
|
@ -43,7 +43,7 @@ By making full use of [characteristics of time series data](https://tdengine.com
|
|||
|
||||
- **Easy Data Analytics**: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way.
|
||||
|
||||
- **Open Source**: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered 18.8k stars on GitHub. There is an active developer community, and over 139k running instances worldwide.
|
||||
- **Open Source**: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered over 19k stars on GitHub. There is an active developer community, and over 140k running instances worldwide.
|
||||
|
||||
With TDengine, the total cost of ownership of your time-series data platform can be greatly reduced. 1: With its superior performance, the computing and storage resources are reduced significantly；2: With SQL support, it can be seamlessly integrated with many third party tools, and learning costs/migration costs are reduced significantly；3: With its simplified solution and nearly zero management, the operation and maintenance costs are reduced significantly.
|
||||
|
||||
|
|
|
|||
|
|
@ -31,17 +31,6 @@ You can now access TDengine or run other Linux commands.
|
|||
|
||||
Note: For information about installing docker, see the [official documentation](https://docs.docker.com/get-docker/).
|
||||
|
||||
## Open the TDengine CLI
|
||||
|
||||
On the container, run the following command to open the TDengine CLI:
|
||||
|
||||
```
|
||||
$ taos
|
||||
|
||||
taos>
|
||||
|
||||
```
|
||||
|
||||
## Insert Data into TDengine
|
||||
|
||||
You can use the `taosBenchmark` tool included with TDengine to write test data into your deployment.
|
||||
|
|
@ -59,39 +48,51 @@ To do so, run the following command:
|
|||
|
||||
You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](/reference/taosbenchmark).
|
||||
|
||||
## Open the TDengine CLI
|
||||
|
||||
On the container, run the following command to open the TDengine CLI:
|
||||
|
||||
```
|
||||
$ taos
|
||||
|
||||
taos>
|
||||
|
||||
```
|
||||
|
||||
## Query Data in TDengine
|
||||
|
||||
After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance. For example:
|
||||
|
||||
Query the number of rows in the `meters` supertable:
|
||||
From the TDengine CLI query the number of rows in the `meters` supertable:
|
||||
|
||||
```sql
|
||||
taos> select count(*) from test.meters;
|
||||
select count(*) from test.meters;
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values of all 100 million rows of data:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.meters;
|
||||
select avg(current), max(voltage), min(phase) from test.meters;
|
||||
```
|
||||
|
||||
Query the number of rows whose `location` tag is `California.SanFrancisco`:
|
||||
Query the number of rows whose `location` tag is `San Francisco`:
|
||||
|
||||
```sql
|
||||
taos> select count(*) from test.meters where location="San Francisco";
|
||||
select count(*) from test.meters where location="San Francisco";
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
|
||||
select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values for table `d10` in 10 second intervals:
|
||||
Query the average, maximum, and minimum values for table `d10` in 1 second intervals:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.d10 interval(10s);
|
||||
select first(ts), avg(current), max(voltage), min(phase) from test.d10 interval(1s);
|
||||
```
|
||||
In the query above you are selecting the first timestamp (ts) in the interval, another way of selecting this would be _wstart which will give the start of the time window. For more information about windowed queries, see [Time-Series Extensions](../../taos-sql/distinguished/).
|
||||
|
||||
## Additional Information
|
||||
|
||||
|
|
|
|||
|
|
@ -72,6 +72,9 @@ Users will be prompted to enter some configuration information when install.sh i
|
|||
1. Download the Windows installation package.
|
||||
<PkgListV3 type={3}/>
|
||||
2. Run the downloaded package to install TDengine.
|
||||
:::info
|
||||
TDengine only supports Windows Server 2016/2019 and windows 10/11 system versions on the windows platform.
|
||||
:::
|
||||
|
||||
</TabItem>
|
||||
<TabItem value="apt-get" label="apt-get">
|
||||
|
|
@ -172,6 +175,20 @@ After the installation is complete, run `C:\TDengine\taosd.exe` to start TDengin
|
|||
</TabItem>
|
||||
</Tabs>
|
||||
|
||||
## Test data insert performance
|
||||
|
||||
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
|
||||
|
||||
```bash
|
||||
taosBenchmark
|
||||
```
|
||||
|
||||
This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to 10 and a `location` tag of either `Campbell`, `Cupertino`, `Los Angeles`, `Mountain View`, `Palo Alto`, `San Diego`, `San Francisco`, `San Jose`, `Santa Clara` or `Sunnyvale`.
|
||||
|
||||
The `taosBenchmark` command creates a deployment with 100 million data points that you can use for testing purposes. The time required to create the deployment depends on your hardware. On most modern servers, the deployment is created in less than a minute.
|
||||
|
||||
You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](../../reference/taosbenchmark).
|
||||
|
||||
## Command Line Interface
|
||||
|
||||
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, run the following command:
|
||||
|
|
@ -203,51 +220,38 @@ Query OK, 2 row(s) in set (0.003128s)
|
|||
```
|
||||
|
||||
You can also can monitor the deployment status, add and remove user accounts, and manage running instances. You can run the TDengine CLI on either Linux or Windows machines. For more information, see [TDengine CLI](../../reference/taos-shell/).
|
||||
|
||||
## Test data insert performance
|
||||
|
||||
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
|
||||
|
||||
```bash
|
||||
taosBenchmark
|
||||
```
|
||||
|
||||
This command creates the `meters` supertable in the `test` database. In the `meters` supertable, it then creates 10,000 subtables named `d0` to `d9999`. Each table has 10,000 rows and each row has four columns: `ts`, `current`, `voltage`, and `phase`. The timestamps of the data in these columns range from 2017-07-14 10:40:00 000 to 2017-07-14 10:40:09 999. Each table is randomly assigned a `groupId` tag from 1 to ten and a `location` tag of either `California.SanFrancisco` or `California.LosAngeles`.
|
||||
|
||||
The `taosBenchmark` command creates a deployment with 100 million data points that you can use for testing purposes. The time required to create the deployment depends on your hardware. On most modern servers, the deployment is created in less than a minute.
|
||||
|
||||
You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](../../reference/taosbenchmark).
|
||||
|
||||
|
||||
## Test data query performance
|
||||
|
||||
After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance:
|
||||
|
||||
Query the number of rows in the `meters` supertable:
|
||||
From the TDengine CLI query the number of rows in the `meters` supertable:
|
||||
|
||||
```sql
|
||||
taos> select count(*) from test.meters;
|
||||
select count(*) from test.meters;
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values of all 100 million rows of data:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.meters;
|
||||
select avg(current), max(voltage), min(phase) from test.meters;
|
||||
```
|
||||
|
||||
Query the number of rows whose `location` tag is `California.SanFrancisco`:
|
||||
Query the number of rows whose `location` tag is `San Francisco`:
|
||||
|
||||
```sql
|
||||
taos> select count(*) from test.meters where location="California.SanFrancisco";
|
||||
select count(*) from test.meters where location="San Francisco";
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
|
||||
select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
|
||||
```
|
||||
|
||||
Query the average, maximum, and minimum values for table `d10` in 10 second intervals:
|
||||
Query the average, maximum, and minimum values for table `d10` in 1 second intervals:
|
||||
|
||||
```sql
|
||||
taos> select avg(current), max(voltage), min(phase) from test.d10 interval(10s);
|
||||
select first(ts), avg(current), max(voltage), min(phase) from test.d10 interval(1s);
|
||||
```
|
||||
In the query above you are selecting the first timestamp (ts) in the interval, another way of selecting this would be _wstart which will give the start of the time window. For more information about windowed queries, see [Time-Series Extensions](../../taos-sql/distinguished/).
|
||||
|
|
|
|||
|
|
@ -223,7 +223,7 @@ phpize && ./configure && make -j && make install
|
|||
**Specify TDengine Location：**
|
||||
|
||||
```shell
|
||||
phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/2.4.0.0 && make -j && make install
|
||||
phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/3.0.0.0 && make -j && make install
|
||||
```
|
||||
|
||||
> `--with-tdengine-dir=` is followed by the TDengine installation location.
|
||||
|
|
|
|||
|
|
@ -43,7 +43,7 @@ Query OK, 2 row(s) in set (0.001100s)
|
|||
|
||||
To meet the requirements of varied use cases, some special functions have been added in TDengine. Some examples are `twa` (Time Weighted Average), `spread` (The difference between the maximum and the minimum), and `last_row` (the last row).
|
||||
|
||||
For detailed query syntax, see [Select](../../taos-sql././select).
|
||||
For detailed query syntax, see [Select](../../taos-sql/select).
|
||||
|
||||
## Aggregation among Tables
|
||||
|
||||
|
|
@ -74,7 +74,7 @@ taos> SELECT count(*), max(current) FROM meters where groupId = 2;
|
|||
Query OK, 1 row(s) in set (0.002136s)
|
||||
```
|
||||
|
||||
In [Select](../../taos-sql././select), all query operations are marked as to whether they support STables or not.
|
||||
In [Select](../../taos-sql/select), all query operations are marked as to whether they support STables or not.
|
||||
|
||||
## Down Sampling and Interpolation
|
||||
|
||||
|
|
@ -122,7 +122,7 @@ In many use cases, it's hard to align the timestamp of the data collected by eac
|
|||
|
||||
Interpolation can be performed in TDengine if there is no data in a time range.
|
||||
|
||||
For more information, see [Aggregate by Window](../../taos-sql/interval).
|
||||
For more information, see [Aggregate by Window](../../taos-sql/distinguished).
|
||||
|
||||
## Examples
|
||||
|
||||
|
|
|
|||
|
|
@ -1,83 +0,0 @@
|
|||
---
|
||||
sidebar_label: Continuous Query
|
||||
description: "Continuous query is a query that's executed automatically at a predefined frequency to provide aggregate query capability by time window. It is essentially simplified, time driven, stream computing."
|
||||
title: "Continuous Query"
|
||||
---
|
||||
|
||||
A continuous query is a query that's executed automatically at a predefined frequency to provide aggregate query capability by time window. It is essentially simplified, time driven, stream computing. A continuous query can be performed on a table or STable in TDengine. The results of a continuous query can be pushed to clients or written back to TDengine. Each query is executed on a time window, which moves forward with time. The size of time window and the forward sliding time need to be specified with parameter `INTERVAL` and `SLIDING` respectively.
|
||||
|
||||
A continuous query in TDengine is time driven, and can be defined using TAOS SQL directly without any extra operations. With a continuous query, the result can be generated based on a time window to achieve down sampling of the original data. Once a continuous query is defined using TAOS SQL, the query is automatically executed at the end of each time window and the result is pushed back to clients or written to TDengine.
|
||||
|
||||
There are some differences between continuous query in TDengine and time window computation in stream computing：
|
||||
|
||||
- The computation is performed and the result is returned in real time in stream computing, but the computation in continuous query is only started when a time window closes. For example, if the time window is 1 day, then the result will only be generated at 23:59:59.
|
||||
- If a historical data row is written in to a time window for which the computation has already finished, the computation will not be performed again and the result will not be pushed to client applications again. If the results have already been written into TDengine, they will not be updated.
|
||||
- In continuous query, if the result is pushed to a client, the client status is not cached on the server side and Exactly-once is not guaranteed by the server. If the client program crashes, a new time window will be generated from the time where the continuous query is restarted. If the result is written into TDengine, the data written into TDengine can be guaranteed as valid and continuous.
|
||||
|
||||
## Syntax
|
||||
|
||||
```sql
|
||||
[CREATE TABLE AS] SELECT select_expr [, select_expr ...]
|
||||
FROM {tb_name_list}
|
||||
[WHERE where_condition]
|
||||
[INTERVAL(interval_val [, interval_offset]) [SLIDING sliding_val]]
|
||||
|
||||
```
|
||||
|
||||
INTERVAL: The time window for which continuous query is performed
|
||||
|
||||
SLIDING: The time step for which the time window moves forward each time
|
||||
|
||||
## How to Use
|
||||
|
||||
In this section the use case of meters will be used to introduce how to use continuous query. Assume the STable and subtables have been created using the SQL statements below.
|
||||
|
||||
```sql
|
||||
create table meters (ts timestamp, current float, voltage int, phase float) tags (location binary(64), groupId int);
|
||||
create table D1001 using meters tags ("California.SanFrancisco", 2);
|
||||
create table D1002 using meters tags ("California.LosAngeles", 2);
|
||||
```
|
||||
|
||||
The SQL statement below retrieves the average voltage for a one minute time window, with each time window moving forward by 30 seconds.
|
||||
|
||||
```sql
|
||||
select avg(voltage) from meters interval(1m) sliding(30s);
|
||||
```
|
||||
|
||||
Whenever the above SQL statement is executed, all the existing data will be computed again. If the computation needs to be performed every 30 seconds automatically to compute on the data in the past one minute, the above SQL statement needs to be revised as below, in which `{startTime}` stands for the beginning timestamp in the latest time window.
|
||||
|
||||
```sql
|
||||
select avg(voltage) from meters where ts > {startTime} interval(1m) sliding(30s);
|
||||
```
|
||||
|
||||
An easier way to achieve this is to prepend `create table {tableName} as` before the `select`.
|
||||
|
||||
```sql
|
||||
create table avg_vol as select avg(voltage) from meters interval(1m) sliding(30s);
|
||||
```
|
||||
|
||||
A table named as `avg_vol` will be created automatically, then every 30 seconds the `select` statement will be executed automatically on the data in the past 1 minute, i.e. the latest time window, and the result is written into table `avg_vol`. The client program just needs to query from table `avg_vol`. For example:
|
||||
|
||||
```sql
|
||||
taos> select * from avg_vol;
|
||||
ts | avg_voltage_ |
|
||||
===================================================
|
||||
2020-07-29 13:37:30.000 | 222.0000000 |
|
||||
2020-07-29 13:38:00.000 | 221.3500000 |
|
||||
2020-07-29 13:38:30.000 | 220.1700000 |
|
||||
2020-07-29 13:39:00.000 | 223.0800000 |
|
||||
```
|
||||
|
||||
Please note that the minimum allowed time window is 10 milliseconds, and there is no upper limit.
|
||||
|
||||
It's possible to specify the start and end time of a continuous query. If the start time is not specified, the timestamp of the first row will be considered as the start time; if the end time is not specified, the continuous query will be performed indefinitely, otherwise it will be terminated once the end time is reached. For example, the continuous query in the SQL statement below will be started from now and terminated one hour later.
|
||||
|
||||
```sql
|
||||
create table avg_vol as select avg(voltage) from meters where ts > now and ts <= now + 1h interval(1m) sliding(30s);
|
||||
```
|
||||
|
||||
`now` in the above SQL statement stands for the time when the continuous query is created, not the time when the computation is actually performed. To avoid the trouble caused by a delay in receiving data as much as possible, the actual computation in a continuous query is started after a little delay. That means, once a time window closes, the computation is not started immediately. Normally, the result are available after a little time, normally within one minute, after the time window closes.
|
||||
|
||||
## How to Manage
|
||||
|
||||
`show streams` command can be used in the TDengine CLI `taos` to show all the continuous queries in the system, and `kill stream` can be used to terminate a continuous query.
|
||||
|
|
@ -1,259 +0,0 @@
|
|||
---
|
||||
sidebar_label: Data Subscription
|
||||
description: "Lightweight service for data subscription and publishing. Time series data inserted into TDengine continuously can be pushed automatically to subscribing clients."
|
||||
title: Data Subscription
|
||||
---
|
||||
|
||||
import Tabs from "@theme/Tabs";
|
||||
import TabItem from "@theme/TabItem";
|
||||
import Java from "./_sub_java.mdx";
|
||||
import Python from "./_sub_python.mdx";
|
||||
import Go from "./_sub_go.mdx";
|
||||
import Rust from "./_sub_rust.mdx";
|
||||
import Node from "./_sub_node.mdx";
|
||||
import CSharp from "./_sub_cs.mdx";
|
||||
import CDemo from "./_sub_c.mdx";
|
||||
|
||||
## Introduction
|
||||
|
||||
Due to the nature of time series data, data insertion into TDengine is similar to data publishing in message queues. Data is stored in ascending order of timestamp inside TDengine, and so each table in TDengine can essentially be considered as a message queue.
|
||||
|
||||
A lightweight service for data subscription and publishing is built into TDengine. With the API provided by TDengine, client programs can use `select` statements to subscribe to data from one or more tables. The subscription and state maintenance is performed on the client side. The client programs poll the server to check whether there is new data, and if so the new data will be pushed back to the client side. If the client program is restarted, where to start retrieving new data is up to the client side.
|
||||
|
||||
There are 3 major APIs related to subscription provided in the TDengine client driver.
|
||||
|
||||
```c
|
||||
taos_subscribe
|
||||
taos_consume
|
||||
taos_unsubscribe
|
||||
```
|
||||
|
||||
For more details about these APIs please refer to [C/C++ Connector](/reference/connector/cpp). Their usage will be introduced below using the use case of meters, in which the schema of STable and subtables from the previous section [Continuous Query](/develop/continuous-query) are used. Full sample code can be found [here](https://github.com/taosdata/TDengine/blob/master/examples/c/subscribe.c).
|
||||
|
||||
If we want to get a notification and take some actions if the current exceeds a threshold, like 10A, from some meters, there are two ways:
|
||||
|
||||
The first way is to query each sub table and record the last timestamp matching the criteria. Then after some time, query the data later than the recorded timestamp, and repeat this process. The SQL statements for this way are as below.
|
||||
|
||||
```sql
|
||||
select * from D1001 where ts > {last_timestamp1} and current > 10;
|
||||
select * from D1002 where ts > {last_timestamp2} and current > 10;
|
||||
...
|
||||
```
|
||||
|
||||
The above way works, but the problem is that the number of `select` statements increases with the number of meters. Additionally, the performance of both client side and server side will be unacceptable once the number of meters grows to a big enough number.
|
||||
|
||||
A better way is to query on the STable, only one `select` is enough regardless of the number of meters, like below:
|
||||
|
||||
```sql
|
||||
select * from meters where ts > {last_timestamp} and current > 10;
|
||||
```
|
||||
|
||||
However, this presents a new problem in how to choose `last_timestamp`. First, the timestamp when the data is generated is different from the timestamp when the data is inserted into the database, sometimes the difference between them may be very big. Second, the time when the data from different meters arrives at the database may be different too. If the timestamp of the "slowest" meter is used as `last_timestamp` in the query, the data from other meters may be selected repeatedly; but if the timestamp of the "fastest" meter is used as `last_timestamp`, some data from other meters may be missed.
|
||||
|
||||
All the problems mentioned above can be resolved easily using the subscription functionality provided by TDengine.
|
||||
|
||||
The first step is to create subscription using `taos_subscribe`.
|
||||
|
||||
```c
|
||||
TAOS_SUB* tsub = NULL;
|
||||
if (async) {
|
||||
// create an asynchronous subscription, the callback function will be called every 1s
|
||||
tsub = taos_subscribe(taos, restart, topic, sql, subscribe_callback, &blockFetch, 1000);
|
||||
} else {
|
||||
// create an synchronous subscription, need to call 'taos_consume' manually
|
||||
tsub = taos_subscribe(taos, restart, topic, sql, NULL, NULL, 0);
|
||||
}
|
||||
```
|
||||
|
||||
The subscription in TDengine can be either synchronous or asynchronous. In the above sample code, the value of variable `async` is determined from the CLI input, then it's used to create either an async or sync subscription. Sync subscription means the client program needs to invoke `taos_consume` to retrieve data, and async subscription means another thread created by `taos_subscribe` internally invokes `taos_consume` to retrieve data and pass the data to `subscribe_callback` for processing. `subscribe_callback` is a callback function provided by the client program. You should not perform time consuming operations in the callback function.
|
||||
|
||||
The parameter `taos` is an established connection. Nothing special needs to be done for thread safety for synchronous subscription. For asynchronous subscription, the taos_subscribe function should be called exclusively by the current thread, to avoid unpredictable errors.
|
||||
|
||||
The parameter `sql` is a `select` statement in which the `where` clause can be used to specify filter conditions. In our example, we can subscribe to the records in which the current exceeds 10A, with the following SQL statement:
|
||||
|
||||
```sql
|
||||
select * from meters where current > 10;
|
||||
```
|
||||
|
||||
Please note that, all the data will be processed because no start time is specified. If we only want to process data for the past day, a time related condition can be added:
|
||||
|
||||
```sql
|
||||
select * from meters where ts > now - 1d and current > 10;
|
||||
```
|
||||
|
||||
The parameter `topic` is the name of the subscription. The client application must guarantee that the name is unique. However, it doesn't have to be globally unique because subscription is implemented in the APIs on the client side.
|
||||
|
||||
If the subscription named as `topic` doesn't exist, the parameter `restart` will be ignored. If the subscription named as `topic` has been created before by the client program, when the client program is restarted with the subscription named `topic`, parameter `restart` is used to determine whether to retrieve data from the beginning or from the last point where the subscription was broken.
|
||||
|
||||
If the value of `restart` is **true** (i.e. a non-zero value), data will be retrieved from the beginning. If it is **false** (i.e. zero), the data already consumed before will not be processed again.
|
||||
|
||||
The last parameter of `taos_subscribe` is the polling interval in units of millisecond. In sync mode, if the time difference between two continuous invocations to `taos_consume` is smaller than the interval specified by `taos_subscribe`, `taos_consume` will be blocked until the interval is reached. In async mode, this interval is the minimum interval between two invocations to the call back function.
|
||||
|
||||
The second to last parameter of `taos_subscribe` is used to pass arguments to the call back function. `taos_subscribe` doesn't process this parameter and simply passes it to the call back function. This parameter is simply ignored in sync mode.
|
||||
|
||||
After a subscription is created, its data can be consumed and processed. Shown below is the sample code to consume data in sync mode, in the else condition of `if (async)`.
|
||||
|
||||
```c
|
||||
if (async) {
|
||||
getchar();
|
||||
} else while(1) {
|
||||
TAOS_RES* res = taos_consume(tsub);
|
||||
if (res == NULL) {
|
||||
printf("failed to consume data.");
|
||||
break;
|
||||
} else {
|
||||
print_result(res, blockFetch);
|
||||
getchar();
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
In the above sample code in the else condition, there is an infinite loop. Each time carriage return is entered `taos_consume` is invoked. The return value of `taos_consume` is the selected result set. In the above sample, `print_result` is used to simplify the printing of the result set. It is similar to `taos_use_result`. Below is the implementation of `print_result`.
|
||||
|
||||
```c
|
||||
void print_result(TAOS_RES* res, int blockFetch) {
|
||||
TAOS_ROW row = NULL;
|
||||
int num_fields = taos_num_fields(res);
|
||||
TAOS_FIELD* fields = taos_fetch_fields(res);
|
||||
int nRows = 0;
|
||||
if (blockFetch) {
|
||||
nRows = taos_fetch_block(res, &row);
|
||||
for (int i = 0; i < nRows; i++) {
|
||||
char temp[256];
|
||||
taos_print_row(temp, row + i, fields, num_fields);
|
||||
puts(temp);
|
||||
}
|
||||
} else {
|
||||
while ((row = taos_fetch_row(res))) {
|
||||
char temp[256];
|
||||
taos_print_row(temp, row, fields, num_fields);
|
||||
puts(temp);
|
||||
nRows++;
|
||||
}
|
||||
}
|
||||
printf("%d rows consumed.\n", nRows);
|
||||
}
|
||||
```
|
||||
|
||||
In the above code `taos_print_row` is used to process the data consumed. All matching rows are printed.
|
||||
|
||||
In async mode, consuming data is simpler as shown below.
|
||||
|
||||
```c
|
||||
void subscribe_callback(TAOS_SUB* tsub, TAOS_RES *res, void* param, int code) {
|
||||
print_result(res, *(int*)param);
|
||||
}
|
||||
```
|
||||
|
||||
`taos_unsubscribe` can be invoked to terminate a subscription.
|
||||
|
||||
```c
|
||||
taos_unsubscribe(tsub, keep);
|
||||
```
|
||||
|
||||
The second parameter `keep` is used to specify whether to keep the subscription progress on the client sde. If it is **false**, i.e. **0**, then subscription will be restarted from beginning regardless of the `restart` parameter's value when `taos_subscribe` is invoked again. The subscription progress information is stored in _{DataDir}/subscribe/_ , under which there is a file with the same name as `topic` for each subscription(Note: The default value of `DataDir` in the `taos.cfg` file is **/var/lib/taos/**. However, **/var/lib/taos/** does not exist on the Windows server. So you need to change the `DataDir` value to the corresponding existing directory."), the subscription will be restarted from the beginning if the corresponding progress file is removed.
|
||||
|
||||
Now let's see the effect of the above sample code, assuming below prerequisites have been done.
|
||||
|
||||
- The sample code has been downloaded to local system
|
||||
- TDengine has been installed and launched properly on same system
|
||||
- The database, STable, and subtables required in the sample code are ready
|
||||
|
||||
Launch the command below in the directory where the sample code resides to compile and start the program.
|
||||
|
||||
```bash
|
||||
make
|
||||
./subscribe -sql='select * from meters where current > 10;'
|
||||
```
|
||||
|
||||
After the program is started, open another terminal and launch TDengine CLI `taos`, then use the below SQL commands to insert a row whose current is 12A into table **D1001**.
|
||||
|
||||
```sql
|
||||
use test;
|
||||
insert into D1001 values(now, 12, 220, 1);
|
||||
```
|
||||
|
||||
Then, this row of data will be shown by the example program on the first terminal because its current exceeds 10A. More data can be inserted for you to observe the output of the example program.
|
||||
|
||||
## Examples
|
||||
|
||||
The example program below demonstrates how to subscribe, using connectors, to data rows in which current exceeds 10A.
|
||||
|
||||
### Prepare Data
|
||||
|
||||
```bash
|
||||
# create database "power"
|
||||
taos> create database power;
|
||||
# use "power" as the database in following operations
|
||||
taos> use power;
|
||||
# create super table "meters"
|
||||
taos> create table meters(ts timestamp, current float, voltage int, phase int) tags(location binary(64), groupId int);
|
||||
# create tabes using the schema defined by super table "meters"
|
||||
taos> create table d1001 using meters tags ("California.SanFrancisco", 2);
|
||||
taos> create table d1002 using meters tags ("California.LoSangeles", 2);
|
||||
# insert some rows
|
||||
taos> insert into d1001 values("2020-08-15 12:00:00.000", 12, 220, 1),("2020-08-15 12:10:00.000", 12.3, 220, 2),("2020-08-15 12:20:00.000", 12.2, 220, 1);
|
||||
taos> insert into d1002 values("2020-08-15 12:00:00.000", 9.9, 220, 1),("2020-08-15 12:10:00.000", 10.3, 220, 1),("2020-08-15 12:20:00.000", 11.2, 220, 1);
|
||||
# filter out the rows in which current is bigger than 10A
|
||||
taos> select * from meters where current > 10;
|
||||
ts | current | voltage | phase | location | groupid |
|
||||
===========================================================================================================
|
||||
2020-08-15 12:10:00.000 | 10.30000 | 220 | 1 | California.LoSangeles | 2 |
|
||||
2020-08-15 12:20:00.000 | 11.20000 | 220 | 1 | California.LoSangeles | 2 |
|
||||
2020-08-15 12:00:00.000 | 12.00000 | 220 | 1 | California.SanFrancisco | 2 |
|
||||
2020-08-15 12:10:00.000 | 12.30000 | 220 | 2 | California.SanFrancisco | 2 |
|
||||
2020-08-15 12:20:00.000 | 12.20000 | 220 | 1 | California.SanFrancisco | 2 |
|
||||
Query OK, 5 row(s) in set (0.004896s)
|
||||
```
|
||||
|
||||
### Example Programs
|
||||
|
||||
<Tabs defaultValue="java" groupId="lang">
|
||||
<TabItem label="Java" value="java">
|
||||
<Java />
|
||||
</TabItem>
|
||||
<TabItem label="Python" value="Python">
|
||||
<Python />
|
||||
</TabItem>
|
||||
{/* <TabItem label="Go" value="go">
|
||||
<Go/>
|
||||
</TabItem> */}
|
||||
<TabItem label="Rust" value="rust">
|
||||
<Rust />
|
||||
</TabItem>
|
||||
{/* <TabItem label="Node.js" value="nodejs">
|
||||
<Node/>
|
||||
</TabItem>
|
||||
<TabItem label="C#" value="csharp">
|
||||
<CSharp/>
|
||||
</TabItem> */}
|
||||
<TabItem label="C" value="c">
|
||||
<CDemo />
|
||||
</TabItem>
|
||||
</Tabs>
|
||||
|
||||
### Run the Examples
|
||||
|
||||
The example programs first consume all historical data matching the criteria.
|
||||
|
||||
```bash
|
||||
ts: 1597464000000 current: 12.0 voltage: 220 phase: 1 location: California.SanFrancisco groupid : 2
|
||||
ts: 1597464600000 current: 12.3 voltage: 220 phase: 2 location: California.SanFrancisco groupid : 2
|
||||
ts: 1597465200000 current: 12.2 voltage: 220 phase: 1 location: California.SanFrancisco groupid : 2
|
||||
ts: 1597464600000 current: 10.3 voltage: 220 phase: 1 location: California.LoSangeles groupid : 2
|
||||
ts: 1597465200000 current: 11.2 voltage: 220 phase: 1 location: California.LoSangeles groupid : 2
|
||||
```
|
||||
|
||||
Next, use TDengine CLI to insert a new row.
|
||||
|
||||
```
|
||||
# taos
|
||||
taos> use power;
|
||||
taos> insert into d1001 values(now, 12.4, 220, 1);
|
||||
```
|
||||
|
||||
Because the current in the inserted row exceeds 10A, it will be consumed by the example program.
|
||||
|
||||
```
|
||||
ts: 1651146662805 current: 12.4 voltage: 220 phase: 1 location: California.SanFrancisco groupid: 2
|
||||
```
|
||||
|
|
@ -102,7 +102,7 @@ Replace `aggfn` with the name of your function.
|
|||
|
||||
## Interface Functions
|
||||
|
||||
There are strict naming conventions for interface functions. The names of the start, finish, init, and destroy interfaces must be <udf-name>_start, <udf-name>_finish, <udf-name>_init, and <udf-name>_destroy, respectively. Replace `scalarfn`, `aggfn`, and `udf` with the name of your user-defined function.
|
||||
There are strict naming conventions for interface functions. The names of the start, finish, init, and destroy interfaces must be <udf-name\>_start, <udf-name\>_finish, <udf-name\>_init, and <udf-name\>_destroy, respectively. Replace `scalarfn`, `aggfn`, and `udf` with the name of your user-defined function.
|
||||
|
||||
Interface functions return a value that indicates whether the operation was successful. If an operation fails, the interface function returns an error code. Otherwise, it returns TSDB_CODE_SUCCESS. The error codes are defined in `taoserror.h` and in the common API error codes in `taos.h`. For example, TSDB_CODE_UDF_INVALID_INPUT indicates invalid input. TSDB_CODE_OUT_OF_MEMORY indicates insufficient memory.
|
||||
|
||||
|
|
|
|||
|
|
@ -1,126 +0,0 @@
|
|||
---
|
||||
title: Deployment
|
||||
---
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### Step 1
|
||||
|
||||
The FQDN of all hosts must be setup properly. All FQDNs need to be configured in the /etc/hosts file on each host. You must confirm that each FQDN can be accessed from any other host, you can do this by using the `ping` command.
|
||||
|
||||
The command `hostname -f` can be executed to get the hostname on any host. `ping <FQDN>` command can be executed on each host to check whether any other host is accessible from it. If any host is not accessible, the network configuration, like /etc/hosts or DNS configuration, needs to be checked and revised, to make any two hosts accessible to each other.
|
||||
|
||||
:::note
|
||||
|
||||
- The host where the client program runs also needs to be configured properly for FQDN, to make sure all hosts for client or server can be accessed from any other. In other words, the hosts where the client is running are also considered as a part of the cluster.
|
||||
|
||||
- Please ensure that your firewall rules do not block TCP/UDP on ports 6030-6042 on all hosts in the cluster.
|
||||
|
||||
:::
|
||||
|
||||
### Step 2
|
||||
|
||||
If any previous version of TDengine has been installed and configured on any host, the installation needs to be removed and the data needs to be cleaned up. For details about uninstalling please refer to [Install and Uninstall](/operation/pkg-install). To clean up the data, please use `rm -rf /var/lib/taos/\*` assuming the `dataDir` is configured as `/var/lib/taos`.
|
||||
|
||||
:::note
|
||||
|
||||
As a best practice, before cleaning up any data files or directories, please ensure that your data has been backed up correctly, if required by your data integrity, backup, security, or other standard operating protocols (SOP).
|
||||
|
||||
:::
|
||||
|
||||
### Step 3
|
||||
|
||||
Now it's time to install TDengine on all hosts but without starting `taosd`. Note that the versions on all hosts should be same. If you are prompted to input the existing TDengine cluster, simply press carriage return to ignore the prompt. `install.sh -e no` can also be used to disable this prompt. For details please refer to [Install and Uninstall](/operation/pkg-install).
|
||||
|
||||
### Step 4
|
||||
|
||||
Now each physical node (referred to, hereinafter, as `dnode` which is an abbreviation for "data node") of TDengine needs to be configured properly. Please note that one dnode doesn't stand for one host. Multiple TDengine dnodes can be started on a single host as long as they are configured properly without conflicting. More specifically each instance of the configuration file `taos.cfg` stands for a dnode. Assuming the first dnode of TDengine cluster is "h1.taosdata.com:6030", its `taos.cfg` is configured as following.
|
||||
|
||||
```c
|
||||
// firstEp is the end point to connect to when any dnode starts
|
||||
firstEp h1.taosdata.com:6030
|
||||
|
||||
// must be configured to the FQDN of the host where the dnode is launched
|
||||
fqdn h1.taosdata.com
|
||||
|
||||
// the port used by the dnode, default is 6030
|
||||
serverPort 6030
|
||||
|
||||
// only necessary when replica is configured to an even number
|
||||
#arbitrator ha.taosdata.com:6042
|
||||
```
|
||||
|
||||
`firstEp` and `fqdn` must be configured properly. In `taos.cfg` of all dnodes in TDengine cluster, `firstEp` must be configured to point to same address, i.e. the first dnode of the cluster. `fqdn` and `serverPort` compose the address of each node itself. If you want to start multiple TDengine dnodes on a single host, please make sure all other configurations like `dataDir`, `logDir`, and other resources related parameters are not conflicting.
|
||||
|
||||
For all the dnodes in a TDengine cluster, the below parameters must be configured exactly the same, any node whose configuration is different from dnodes already in the cluster can't join the cluster.
|
||||
|
||||
| **#** | **Parameter** | **Definition** |
|
||||
| ----- | -------------- | ------------------------------------------------------------- |
|
||||
| 1 | statusInterval | The time interval for which dnode reports its status to mnode |
|
||||
| 2 | timezone | Time Zone where the server is located |
|
||||
| 3 | locale | Location code of the system |
|
||||
| 4 | charset | Character set of the system |
|
||||
|
||||
## Start Cluster
|
||||
|
||||
In the following example we assume that first dnode has FQDN h1.taosdata.com and the second dnode has FQDN h2.taosdata.com.
|
||||
|
||||
### Start The First DNODE
|
||||
|
||||
Start the first dnode following the instructions in [Get Started](/get-started/). Then launch TDengine CLI `taos` and execute command `show dnodes`, the output is as following for example:
|
||||
|
||||
```
|
||||
Welcome to the TDengine shell from Linux, Client Version:3.0.0.0
|
||||
Copyright (c) 2022 by TAOS Data, Inc. All rights reserved.
|
||||
|
||||
Server is Enterprise trial Edition, ver:3.0.0.0 and will never expire.
|
||||
|
||||
taos> show dnodes;
|
||||
id | endpoint | vnodes | support_vnodes | status | create_time | note |
|
||||
============================================================================================================================================
|
||||
1 | h1.taosdata.com:6030 | 0 | 1024 | ready | 2022-07-16 10:50:42.673 | |
|
||||
Query OK, 1 rows affected (0.007984s)
|
||||
|
||||
taos>
|
||||
```
|
||||
|
||||
From the above output, it is shown that the end point of the started dnode is "h1.taosdata.com:6030", which is the `firstEp` of the cluster.
|
||||
|
||||
### Start Other DNODEs
|
||||
|
||||
There are a few steps necessary to add other dnodes in the cluster.
|
||||
|
||||
Let's assume we are starting the second dnode with FQDN, h2.taosdata.com. Firstly we make sure the configuration is correct.
|
||||
|
||||
```c
|
||||
// firstEp is the end point to connect to when any dnode starts
|
||||
firstEp h1.taosdata.com:6030
|
||||
|
||||
// must be configured to the FQDN of the host where the dnode is launched
|
||||
fqdn h2.taosdata.com
|
||||
|
||||
// the port used by the dnode, default is 6030
|
||||
serverPort 6030
|
||||
|
||||
```
|
||||
|
||||
Secondly, we can start `taosd` as instructed in [Get Started](/get-started/).
|
||||
|
||||
Then, on the first dnode i.e. h1.taosdata.com in our example, use TDengine CLI `taos` to execute the following command to add the end point of the dnode in the cluster. In the command "fqdn:port" should be quoted using double quotes.
|
||||
|
||||
```sql
|
||||
CREATE DNODE "h2.taos.com:6030";
|
||||
```
|
||||
|
||||
Then on the first dnode h1.taosdata.com, execute `show dnodes` in `taos` to show whether the second dnode has been added in the cluster successfully or not.
|
||||
|
||||
```sql
|
||||
SHOW DNODES;
|
||||
```
|
||||
|
||||
If the status of the newly added dnode is offline, please check:
|
||||
|
||||
- Whether the `taosd` process is running properly or not
|
||||
- In the log file `taosdlog.0` to see whether the fqdn and port are correct
|
||||
|
||||
The above process can be repeated to add more dnodes in the cluster.
|
||||
|
|
@ -1,138 +0,0 @@
|
|||
---
|
||||
sidebar_label: Operation
|
||||
title: Manage DNODEs
|
||||
---
|
||||
|
||||
The previous section, [Deployment],(/cluster/deploy) showed you how to deploy and start a cluster from scratch. Once a cluster is ready, the status of dnode(s) in the cluster can be shown at any time. Dnodes can be managed from the TDengine CLI. New dnode(s) can be added to scale out the cluster, an existing dnode can be removed and you can even perform load balancing manually, if necessary.
|
||||
|
||||
:::note
|
||||
All the commands introduced in this chapter must be run in the TDengine CLI - `taos`. Note that sometimes it is necessary to use root privilege.
|
||||
|
||||
:::
|
||||
|
||||
## Show DNODEs
|
||||
|
||||
The below command can be executed in TDengine CLI `taos` to list all dnodes in the cluster, including ID, end point (fqdn:port), status (ready, offline), number of vnodes, number of free vnodes and so on. We recommend executing this command after adding or removing a dnode.
|
||||
|
||||
```sql
|
||||
SHOW DNODES;
|
||||
```
|
||||
|
||||
Below is the example output of this command.
|
||||
|
||||
```
|
||||
taos> show dnodes;
|
||||
id | end_point | vnodes | cores | status | role | create_time | offline reason |
|
||||
======================================================================================================================================
|
||||
1 | localhost:6030 | 9 | 8 | ready | any | 2022-04-15 08:27:09.359 | |
|
||||
Query OK, 1 row(s) in set (0.008298s)
|
||||
```
|
||||
|
||||
## Show VGROUPs
|
||||
|
||||
To utilize system resources efficiently and provide scalability, data sharding is required. The data of each database is divided into multiple shards and stored in multiple vnodes. These vnodes may be located on different dnodes. One way of scaling out is to add more vnodes on dnodes. Each vnode can only be used for a single DB, but one DB can have multiple vnodes. The allocation of vnode is scheduled automatically by mnode based on system resources of the dnodes.
|
||||
|
||||
Launch TDengine CLI `taos` and execute below command:
|
||||
|
||||
```sql
|
||||
USE SOME_DATABASE;
|
||||
SHOW VGROUPS;
|
||||
```
|
||||
|
||||
The output is like below:
|
||||
|
||||
taos> use db;
|
||||
Database changed.
|
||||
|
||||
taos> show vgroups;
|
||||
vgId | tables | status | onlines | v1_dnode | v1_status | compacting |
|
||||
==========================================================================================
|
||||
14 | 38000 | ready | 1 | 1 | leader | 0 |
|
||||
15 | 38000 | ready | 1 | 1 | leader | 0 |
|
||||
16 | 38000 | ready | 1 | 1 | leader | 0 |
|
||||
17 | 38000 | ready | 1 | 1 | leader | 0 |
|
||||
18 | 37001 | ready | 1 | 1 | leader | 0 |
|
||||
19 | 37000 | ready | 1 | 1 | leader | 0 |
|
||||
20 | 37000 | ready | 1 | 1 | leader | 0 |
|
||||
21 | 37000 | ready | 1 | 1 | leader | 0 |
|
||||
Query OK, 8 row(s) in set (0.001154s)
|
||||
|
||||
````
|
||||
|
||||
## Add DNODE
|
||||
|
||||
Launch TDengine CLI `taos` and execute the command below to add the end point of a new dnode into the EPI (end point) list of the cluster. "fqdn:port" must be quoted using double quotes.
|
||||
|
||||
```sql
|
||||
CREATE DNODE "fqdn:port";
|
||||
````
|
||||
|
||||
The example output is as below:
|
||||
|
||||
```
|
||||
taos> create dnode "localhost:7030";
|
||||
Query OK, 0 of 0 row(s) in database (0.008203s)
|
||||
|
||||
taos> show dnodes;
|
||||
id | end_point | vnodes | cores | status | role | create_time | offline reason |
|
||||
======================================================================================================================================
|
||||
1 | localhost:6030 | 9 | 8 | ready | any | 2022-04-15 08:27:09.359 | |
|
||||
2 | localhost:7030 | 0 | 0 | offline | any | 2022-04-19 08:11:42.158 | status not received |
|
||||
Query OK, 2 row(s) in set (0.001017s)
|
||||
```
|
||||
|
||||
It can be seen that the status of the new dnode is "offline". Once the dnode is started and connects to the firstEp of the cluster, you can execute the command again and get the example output below. As can be seen, both dnodes are in "ready" status.
|
||||
|
||||
```
|
||||
taos> show dnodes;
|
||||
id | end_point | vnodes | cores | status | role | create_time | offline reason |
|
||||
======================================================================================================================================
|
||||
1 | localhost:6030 | 3 | 8 | ready | any | 2022-04-15 08:27:09.359 | |
|
||||
2 | localhost:7030 | 6 | 8 | ready | any | 2022-04-19 08:14:59.165 | |
|
||||
Query OK, 2 row(s) in set (0.001316s)
|
||||
```
|
||||
|
||||
## Drop DNODE
|
||||
|
||||
Launch TDengine CLI `taos` and execute the command below to drop or remove a dnode from the cluster. In the command, you can get `dnodeId` from `show dnodes`.
|
||||
|
||||
```sql
|
||||
DROP DNODE "fqdn:port";
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
```sql
|
||||
DROP DNODE dnodeId;
|
||||
```
|
||||
|
||||
The example output is below：
|
||||
|
||||
```
|
||||
taos> show dnodes;
|
||||
id | end_point | vnodes | cores | status | role | create_time | offline reason |
|
||||
======================================================================================================================================
|
||||
1 | localhost:6030 | 9 | 8 | ready | any | 2022-04-15 08:27:09.359 | |
|
||||
2 | localhost:7030 | 0 | 0 | offline | any | 2022-04-19 08:11:42.158 | status not received |
|
||||
Query OK, 2 row(s) in set (0.001017s)
|
||||
|
||||
taos> drop dnode 2;
|
||||
Query OK, 0 of 0 row(s) in database (0.000518s)
|
||||
|
||||
taos> show dnodes;
|
||||
id | end_point | vnodes | cores | status | role | create_time | offline reason |
|
||||
======================================================================================================================================
|
||||
1 | localhost:6030 | 9 | 8 | ready | any | 2022-04-15 08:27:09.359 | |
|
||||
Query OK, 1 row(s) in set (0.001137s)
|
||||
```
|
||||
|
||||
In the above example, when `show dnodes` is executed the first time, two dnodes are shown. After `drop dnode 2` is executed, you can execute `show dnodes` again and it can be seen that only the dnode with ID 1 is still in the cluster.
|
||||
|
||||
:::note
|
||||
|
||||
- Once a dnode is dropped, it can't rejoin the cluster. To rejoin, the dnode needs to deployed again after cleaning up the data directory. Before dropping a dnode, the data belonging to the dnode MUST be migrated/backed up according to your data retention, data security or other SOPs.
|
||||
- Please note that `drop dnode` is different from stopping `taosd` process. `drop dnode` just removes the dnode out of TDengine cluster. Only after a dnode is dropped, can the corresponding `taosd` process be stopped.
|
||||
- Once a dnode is dropped, other dnodes in the cluster will be notified of the drop and will not accept the request from the dropped dnode.
|
||||
- dnodeID is allocated automatically and can't be manually modified. dnodeID is generated in ascending order without duplication.
|
||||
|
||||
:::
|
||||
|
|
@ -1 +0,0 @@
|
|||
label: Cluster
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
---
|
||||
title: Cluster
|
||||
keywords: ["cluster", "high availability", "load balance", "scale out"]
|
||||
---
|
||||
|
||||
TDengine has a native distributed design and provides the ability to scale out. A few nodes can form a TDengine cluster. If you need higher processing power, you just need to add more nodes into the cluster. TDengine uses virtual node technology to virtualize a node into multiple virtual nodes to achieve load balancing. At the same time, TDengine can group virtual nodes on different nodes into virtual node groups, and use the replication mechanism to ensure the high availability of the system. The cluster feature of TDengine is completely open source.
|
||||
|
||||
This chapter mainly introduces cluster deployment, maintenance, and how to achieve high availability and load balancing.
|
||||
|
||||
```mdx-code-block
|
||||
import DocCardList from '@theme/DocCardList';
|
||||
import {useCurrentSidebarCategory} from '@docusaurus/theme-common';
|
||||
|
||||
<DocCardList items={useCurrentSidebarCategory().items}/>
|
||||
```
|
||||
|
|
@ -171,8 +171,8 @@ The \_QSTART and \_QEND pseudocolumns contain the beginning and end of the time
|
|||
|
||||
The \_QSTART and \_QEND pseudocolumns cannot be used in a WHERE clause.
|
||||
|
||||
**\_WSTART, \_WEND, and \_DURATION**
|
||||
\_WSTART, \_WEND, and \_WDURATION pseudocolumns
|
||||
**\_WSTART, \_WEND, and \_WDURATION**
|
||||
|
||||
The \_WSTART, \_WEND, and \_WDURATION pseudocolumns indicate the beginning, end, and duration of a window.
|
||||
|
||||
These pseudocolumns can be used only in time window-based aggregations and must occur after the aggregation clause.
|
||||
|
|
|
|||
|
|
@ -1232,7 +1232,7 @@ SELECT SERVER_VERSION();
|
|||
### SERVER_STATUS
|
||||
|
||||
```sql
|
||||
SELECT SERVER_VERSION();
|
||||
SELECT SERVER_STATUS();
|
||||
```
|
||||
|
||||
**Description**: The server status.
|
||||
|
|
|
|||
|
|
@ -58,6 +58,15 @@ The following restrictions apply:
|
|||
- The window clause cannot be used with a GROUP BY clause.
|
||||
- `WHERE` clause can be used to specify the starting and ending time and other filter conditions
|
||||
|
||||
|
||||
### Window Pseudocolumns
|
||||
|
||||
**\_WSTART, \_WEND, and \_WDURATION**
|
||||
|
||||
The \_WSTART, \_WEND, and \_WDURATION pseudocolumns indicate the beginning, end, and duration of a window.
|
||||
|
||||
These pseudocolumns occur after the aggregation clause.
|
||||
|
||||
### FILL Clause
|
||||
|
||||
`FILL` clause is used to specify how to fill when there is data missing in any window, including:
|
||||
|
|
|
|||
|
|
@ -15,11 +15,6 @@ title: Escape Characters
|
|||
| `\%` | % see below for details |
|
||||
| `\_` | \_ see below for details |
|
||||
|
||||
:::note
|
||||
Escape characters are available from version 2.4.0.4 .
|
||||
|
||||
:::
|
||||
|
||||
## Restrictions
|
||||
|
||||
1. If there are escape characters in identifiers (database name, table name, column name)
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ title: TDengine SQL
|
|||
description: "The syntax supported by TDengine SQL "
|
||||
---
|
||||
|
||||
This section explains the syntax of SQL to perform operations on databases, tables and STables, insert data, select data and use functions. We also provide some tips that can be used in TDengine SQL. If you have previous experience with SQL this section will be fairly easy to understand. If you do not have previous experience with SQL, you'll come to appreciate the simplicity and power of SQL. TDengine SQL has been enhanced in version 3.0, and the query engine has been rearchitected. For information about how TDengine SQL has changed, see [Changes in TDengine 3.0](/taos-sql/changes).
|
||||
This section explains the syntax of SQL to perform operations on databases, tables and STables, insert data, select data and use functions. We also provide some tips that can be used in TDengine SQL. If you have previous experience with SQL this section will be fairly easy to understand. If you do not have previous experience with SQL, you'll come to appreciate the simplicity and power of SQL. TDengine SQL has been enhanced in version 3.0, and the query engine has been rearchitected. For information about how TDengine SQL has changed, see [Changes in TDengine 3.0](../taos-sql/changes).
|
||||
|
||||
TDengine SQL is the major interface for users to write data into or query from TDengine. It uses standard SQL syntax and includes extensions and optimizations for time-series data and services. The maximum length of a TDengine SQL statement is 1 MB. Note that keyword abbreviations are not supported. For example, DELETE cannot be entered as DEL.
|
||||
|
||||
|
|
|
|||
|
|
@ -10,131 +10,7 @@ TDengine community version provides deb and rpm packages for users to choose fro
|
|||
|
||||
## Install
|
||||
|
||||
<Tabs>
|
||||
<TabItem label="Install Deb" value="debinst">
|
||||
|
||||
1. Download deb package from official website, for example TDengine-server-2.4.0.7-Linux-x64.deb
|
||||
2. In the directory where the package is located, execute the command below
|
||||
|
||||
```bash
|
||||
$ sudo dpkg -i TDengine-server-2.4.0.7-Linux-x64.deb
|
||||
(Reading database ... 137504 files and directories currently installed.)
|
||||
Preparing to unpack TDengine-server-2.4.0.7-Linux-x64.deb ...
|
||||
TDengine is removed successfully!
|
||||
Unpacking tdengine (2.4.0.7) over (2.4.0.7) ...
|
||||
Setting up tdengine (2.4.0.7) ...
|
||||
Start to install TDengine...
|
||||
|
||||
System hostname is: ubuntu-1804
|
||||
|
||||
Enter FQDN:port (like h1.taosdata.com:6030) of an existing TDengine cluster node to join
|
||||
OR leave it blank to build one:
|
||||
|
||||
Enter your email address for priority support or enter empty to skip:
|
||||
Created symlink /etc/systemd/system/multi-user.target.wants/taosd.service → /etc/systemd/system/taosd.service.
|
||||
|
||||
To configure TDengine : edit /etc/taos/taos.cfg
|
||||
To start TDengine : sudo systemctl start taosd
|
||||
To access TDengine : taos -h ubuntu-1804 to login into TDengine server
|
||||
|
||||
|
||||
TDengine is installed successfully!
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
|
||||
<TabItem label="Install RPM" value="rpminst">
|
||||
|
||||
1. Download rpm package from official website, for example TDengine-server-2.4.0.7-Linux-x64.rpm；
|
||||
2. In the directory where the package is located, execute the command below
|
||||
|
||||
```
|
||||
$ sudo rpm -ivh TDengine-server-2.4.0.7-Linux-x64.rpm
|
||||
Preparing... ################################# [100%]
|
||||
Updating / installing...
|
||||
1:tdengine-2.4.0.7-3 ################################# [100%]
|
||||
Start to install TDengine...
|
||||
|
||||
System hostname is: centos7
|
||||
|
||||
Enter FQDN:port (like h1.taosdata.com:6030) of an existing TDengine cluster node to join
|
||||
OR leave it blank to build one:
|
||||
|
||||
Enter your email address for priority support or enter empty to skip:
|
||||
|
||||
Created symlink from /etc/systemd/system/multi-user.target.wants/taosd.service to /etc/systemd/system/taosd.service.
|
||||
|
||||
To configure TDengine : edit /etc/taos/taos.cfg
|
||||
To start TDengine : sudo systemctl start taosd
|
||||
To access TDengine : taos -h centos7 to login into TDengine server
|
||||
|
||||
|
||||
TDengine is installed successfully!
|
||||
```
|
||||
|
||||
</TabItem>
|
||||
|
||||
<TabItem label="Install tar.gz" value="tarinst">
|
||||
|
||||
1. Download the tar.gz package, for example TDengine-server-2.4.0.7-Linux-x64.tar.gz；
|
||||
2. In the directory where the package is located, first decompress the file, then switch to the sub-directory generated in decompressing, i.e. "TDengine-enterprise-server-2.4.0.7/" in this example, and execute the `install.sh` script.
|
||||
|
||||
```bash
|
||||
$ tar xvzf TDengine-enterprise-server-2.4.0.7-Linux-x64.tar.gz
|
||||
TDengine-enterprise-server-2.4.0.7/
|
||||
TDengine-enterprise-server-2.4.0.7/driver/
|
||||
TDengine-enterprise-server-2.4.0.7/driver/vercomp.txt
|
||||
TDengine-enterprise-server-2.4.0.7/driver/libtaos.so.2.4.0.7
|
||||
TDengine-enterprise-server-2.4.0.7/install.sh
|
||||
TDengine-enterprise-server-2.4.0.7/examples/
|
||||
...
|
||||
|
||||
$ ll
|
||||
total 43816
|
||||
drwxrwxr-x 3 ubuntu ubuntu 4096 Feb 22 09:31 ./
|
||||
drwxr-xr-x 20 ubuntu ubuntu 4096 Feb 22 09:30 ../
|
||||
drwxrwxr-x 4 ubuntu ubuntu 4096 Feb 22 09:30 TDengine-enterprise-server-2.4.0.7/
|
||||
-rw-rw-r-- 1 ubuntu ubuntu 44852544 Feb 22 09:31 TDengine-enterprise-server-2.4.0.7-Linux-x64.tar.gz
|
||||
|
||||
$ cd TDengine-enterprise-server-2.4.0.7/
|
||||
|
||||
$ ll
|
||||
total 40784
|
||||
drwxrwxr-x 4 ubuntu ubuntu 4096 Feb 22 09:30 ./
|
||||
drwxrwxr-x 3 ubuntu ubuntu 4096 Feb 22 09:31 ../
|
||||
drwxrwxr-x 2 ubuntu ubuntu 4096 Feb 22 09:30 driver/
|
||||
drwxrwxr-x 10 ubuntu ubuntu 4096 Feb 22 09:30 examples/
|
||||
-rwxrwxr-x 1 ubuntu ubuntu 33294 Feb 22 09:30 install.sh*
|
||||
-rw-rw-r-- 1 ubuntu ubuntu 41704288 Feb 22 09:30 taos.tar.gz
|
||||
|
||||
$ sudo ./install.sh
|
||||
|
||||
Start to update TDengine...
|
||||
Created symlink /etc/systemd/system/multi-user.target.wants/taosd.service → /etc/systemd/system/taosd.service.
|
||||
Nginx for TDengine is updated successfully!
|
||||
|
||||
To configure TDengine : edit /etc/taos/taos.cfg
|
||||
To configure Taos Adapter (if has) : edit /etc/taos/taosadapter.toml
|
||||
To start TDengine : sudo systemctl start taosd
|
||||
To access TDengine : use taos -h ubuntu-1804 in shell OR from http://127.0.0.1:6060
|
||||
|
||||
TDengine is updated successfully!
|
||||
Install taoskeeper as a standalone service
|
||||
taoskeeper is installed, enable it by `systemctl enable taoskeeper`
|
||||
```
|
||||
|
||||
:::info
|
||||
Users will be prompted to enter some configuration information when install.sh is executing. The interactive mode can be disabled by executing `./install.sh -e no`. `./install.sh -h` can show all parameters with detailed explanation.
|
||||
|
||||
:::
|
||||
|
||||
</TabItem>
|
||||
</Tabs>
|
||||
|
||||
:::note
|
||||
When installing on the first node in the cluster, at the "Enter FQDN:" prompt, nothing needs to be provided. When installing on subsequent nodes, at the "Enter FQDN:" prompt, you must enter the end point of the first dnode in the cluster if it is already up. You can also just ignore it and configure it later after installation is finished.
|
||||
|
||||
:::
|
||||
About details of installing TDenine, please refer to [Installation Guide](../../get-started/package/).
|
||||
|
||||
## Uninstall
|
||||
|
||||
|
|
@ -146,7 +22,7 @@ Deb package of TDengine can be uninstalled as below:
|
|||
```bash
|
||||
$ sudo dpkg -r tdengine
|
||||
(Reading database ... 137504 files and directories currently installed.)
|
||||
Removing tdengine (2.4.0.7) ...
|
||||
Removing tdengine (3.0.0.0) ...
|
||||
TDengine is removed successfully!
|
||||
|
||||
```
|
||||
|
|
@ -245,7 +121,7 @@ For example, if using `systemctl` , the commands to start, stop, restart and che
|
|||
|
||||
- Check server status：`systemctl status taosd`
|
||||
|
||||
From version 2.4.0.0, a new independent component named as `taosAdapter` has been included in TDengine. `taosAdapter` should be started and stopped using `systemctl`.
|
||||
Another component named as `taosAdapter` is to provide HTTP service for TDengine, it should be started and stopped using `systemctl`.
|
||||
|
||||
If the server process is OK, the output of `systemctl status` is like below:
|
||||
|
||||
|
|
|
|||
|
|
@ -1,50 +0,0 @@
|
|||
---
|
||||
title: User Management
|
||||
---
|
||||
|
||||
A system operator can use TDengine CLI `taos` to create or remove users or change passwords. The SQL commands are documented below:
|
||||
|
||||
## Create User
|
||||
|
||||
```sql
|
||||
CREATE USER <user_name> PASS <'password'>;
|
||||
```
|
||||
|
||||
When creating a user and specifying the user name and password, the password needs to be quoted using single quotes.
|
||||
|
||||
## Drop User
|
||||
|
||||
```sql
|
||||
DROP USER <user_name>;
|
||||
```
|
||||
|
||||
Dropping a user can only be performed by root.
|
||||
|
||||
## Change Password
|
||||
|
||||
```sql
|
||||
ALTER USER <user_name> PASS <'password'>;
|
||||
```
|
||||
|
||||
To keep the case of the password when changing password, the password needs to be quoted using single quotes.
|
||||
|
||||
## Change Privilege
|
||||
|
||||
```sql
|
||||
ALTER USER <user_name> PRIVILEGE <write|read>;
|
||||
```
|
||||
|
||||
The privileges that can be changed to are `read` or `write` without single quotes.
|
||||
|
||||
Note：there is another privilege `super`, which is not allowed to be authorized to any user.
|
||||
|
||||
## Show Users
|
||||
|
||||
```sql
|
||||
SHOW USERS;
|
||||
```
|
||||
|
||||
:::note
|
||||
In SQL syntax, `< >` means the part that needs to be input by the user, excluding the `< >` itself.
|
||||
|
||||
:::
|
||||
|
|
@ -1,54 +0,0 @@
|
|||
---
|
||||
sidebar_label: Connections & Tasks
|
||||
title: Manage Connections and Query Tasks
|
||||
---
|
||||
|
||||
A system operator can use the TDengine CLI to show connections, ongoing queries, stream computing, and can close connections or stop ongoing query tasks or stream computing.
|
||||
|
||||
## Show Connections
|
||||
|
||||
```sql
|
||||
SHOW CONNECTIONS;
|
||||
```
|
||||
|
||||
One column of the output of the above SQL command is "ip:port", which is the end point of the client.
|
||||
|
||||
## Force Close Connections
|
||||
|
||||
```sql
|
||||
KILL CONNECTION <connection-id>;
|
||||
```
|
||||
|
||||
In the above SQL command, `connection-id` is from the first column of the output of `SHOW CONNECTIONS`.
|
||||
|
||||
## Show Ongoing Queries
|
||||
|
||||
```sql
|
||||
SHOW QUERIES;
|
||||
```
|
||||
|
||||
The first column of the output is query ID, which is composed of the corresponding connection ID and the sequence number of the current query task started on this connection. The format is "connection-id:query-no".
|
||||
|
||||
## Force Close Queries
|
||||
|
||||
```sql
|
||||
KILL QUERY <query-id>;
|
||||
```
|
||||
|
||||
In the above SQL command, `query-id` is from the first column of the output of `SHOW QUERIES `.
|
||||
|
||||
## Show Continuous Query
|
||||
|
||||
```sql
|
||||
SHOW STREAMS;
|
||||
```
|
||||
|
||||
The first column of the output is stream ID, which is composed of the connection ID and the sequence number of the current stream started on this connection. The format is "connection-id:stream-no".
|
||||
|
||||
## Force Close Continuous Query
|
||||
|
||||
```sql
|
||||
KILL STREAM <stream-id>;
|
||||
```
|
||||
|
||||
The above SQL command, `stream-id` is from the first column of the output of `SHOW STREAMS`.
|
||||
|
|
@ -61,7 +61,7 @@ phpize && ./configure && make -j && make install
|
|||
**Specify TDengine location：**
|
||||
|
||||
```shell
|
||||
phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/2.4.0.0 && make -j && make install
|
||||
phpize && ./configure --with-tdengine-dir=/usr/local/Cellar/tdengine/3.0.0.0 && make -j && make install
|
||||
```
|
||||
|
||||
> `--with-tdengine-dir=` is followed by TDengine location.
|
||||
|
|
|
|||
|
|
@ -30,7 +30,7 @@ taosAdapter provides the following features.
|
|||
|
||||
### Install taosAdapter
|
||||
|
||||
taosAdapter has been part of TDengine server software since TDengine v2.4.0.0. If you use the TDengine server, you don't need additional steps to install taosAdapter. You can download taosAdapter from [TDengine official website](https://tdengine.com/all-downloads/) to download the TDengine server installation package (taosAdapter is included in v2.4.0.0 and later version). If you need to deploy taosAdapter separately on another server other than the TDengine server, you should install the full TDengine server package on that server to install taosAdapter. If you need to build taosAdapter from source code, you can refer to the [Building taosAdapter]( https://github.com/taosdata/taosadapter/blob/3.0/BUILD.md) documentation.
|
||||
If you use the TDengine server, you don't need additional steps to install taosAdapter. You can download taosAdapter from [TDengine 3.0 released versions](../../releases) to download the TDengine server installation package. If you need to deploy taosAdapter separately on another server other than the TDengine server, you should install the full TDengine server package on that server to install taosAdapter. If you need to build taosAdapter from source code, you can refer to the [Building taosAdapter]( https://github.com/taosdata/taosadapter/blob/3.0/BUILD.md) documentation.
|
||||
|
||||
### Start/Stop taosAdapter
|
||||
|
||||
|
|
|
|||
|
|
@ -75,7 +75,6 @@ taos --dump-config
|
|||
| Applicable | Server Only |
|
||||
| Meaning | The port for external access after `taosd` is started |
|
||||
| Default Value | 6030 |
|
||||
| Note | REST service is provided by `taosd` before 2.4.0.0 but by `taosAdapter` after 2.4.0.0, the default port of REST service is 6041 |
|
||||
|
||||
:::note
|
||||
TDengine uses 13 continuous ports, both TCP and UDP, starting with the port specified by `serverPort`. You should ensure, in your firewall rules, that these ports are kept open. Below table describes the ports used by TDengine in details.
|
||||
|
|
@ -87,11 +86,11 @@ TDengine uses 13 continuous ports, both TCP and UDP, starting with the port spec
|
|||
| TCP | 6030 | Communication between client and server | serverPort |
|
||||
| TCP | 6035 | Communication among server nodes in cluster | serverPort+5 |
|
||||
| TCP | 6040 | Data syncup among server nodes in cluster | serverPort+10 |
|
||||
| TCP | 6041 | REST connection between client and server | Prior to 2.4.0.0: serverPort+11; After 2.4.0.0 refer to [taosAdapter](/reference/taosadapter/) |
|
||||
| TCP | 6041 | REST connection between client and server | Please refer to [taosAdapter](../taosadapter/) |
|
||||
| TCP | 6042 | Service Port of Arbitrator | The parameter of Arbitrator |
|
||||
| TCP | 6043 | Service Port of TaosKeeper | The parameter of TaosKeeper |
|
||||
| TCP | 6044 | Data access port for StatsD | refer to [taosAdapter](/reference/taosadapter/) |
|
||||
| UDP | 6045 | Data access for statsd | refer to [taosAdapter](/reference/taosadapter/) |
|
||||
| TCP | 6044 | Data access port for StatsD | refer to [taosAdapter](../taosadapter/) |
|
||||
| UDP | 6045 | Data access for statsd | refer to [taosAdapter](../taosadapter/) |
|
||||
| TCP | 6060 | Port of Monitoring Service in Enterprise version | |
|
||||
| UDP | 6030-6034 | Communication between client and server | serverPort |
|
||||
| UDP | 6035-6039 | Communication among server nodes in cluster | serverPort |
|
||||
|
|
@ -777,12 +776,6 @@ To prevent system resource from being exhausted by multiple concurrent streams,
|
|||
|
||||
## HTTP Parameters
|
||||
|
||||
:::note
|
||||
HTTP service was provided by `taosd` prior to version 2.4.0.0 and is provided by `taosAdapter` after version 2.4.0.0.
|
||||
The parameters described in this section are only application in versions prior to 2.4.0.0. If you are using any version from 2.4.0.0, please refer to [taosAdapter](/reference/taosadapter/).
|
||||
|
||||
:::
|
||||
|
||||
### http
|
||||
|
||||
| Attribute | Description |
|
||||
|
|
@ -980,16 +973,7 @@ The parameters described in this section are only application in versions prior
|
|||
| Applicable | Server and Client |
|
||||
| Meaning | Log level of common module |
|
||||
| Value Range | Same as debugFlag |
|
||||
| Default Value | |
|
||||
|
||||
### httpDebugFlag
|
||||
|
||||
| Attribute | Description |
|
||||
| ------------- | ------------------------------------------- |
|
||||
| Applicable | Server Only |
|
||||
| Meaning | Log level of http module (prior to 2.4.0.0) |
|
||||
| Value Range | Same as debugFlag |
|
||||
| Default Value | |
|
||||
| Default Value | | |
|
||||
|
||||
### mqttDebugFlag
|
||||
|
||||
|
|
|
|||
|
|
@ -29,11 +29,6 @@ All executable files of TDengine are in the _/usr/local/taos/bin_ directory by d
|
|||
- _set_core.sh_: script for setting up the system to generate core dump files for easy debugging
|
||||
- _taosd-dump-cfg.gdb_: script to facilitate debugging of taosd's gdb execution.
|
||||
|
||||
:::note
|
||||
taosdump after version 2.4.0.0 require taosTools as a standalone installation. A new version of taosBenchmark is include in taosTools too.
|
||||
|
||||
:::
|
||||
|
||||
:::tip
|
||||
You can configure different data directories and log directories by modifying the system configuration file `taos.cfg`.
|
||||
|
||||
|
|
|
|||
|
|
@ -419,11 +419,11 @@ Note that once the installation is complete, do not immediately start the `taosd
|
|||
|
||||
To ensure that the system can obtain the necessary information for regular operation. Please set the following vital parameters correctly on the server:
|
||||
|
||||
FQDN, firstEp, secondEP, dataDir, logDir, tmpDir, serverPort. For the specific meaning and setting requirements of each parameter, please refer to the document "[TDengine Cluster Installation and Management](/cluster/)"
|
||||
FQDN, firstEp, secondEP, dataDir, logDir, tmpDir, serverPort. For the specific meaning and setting requirements of each parameter, please refer to the document "[TDengine Cluster Deployment](../../deployment)"
|
||||
|
||||
Follow the same steps to set parameters on the other nodes, start the taosd service, and then add Dnodes to the cluster.
|
||||
|
||||
Finally, start `taos` and execute the `show dnodes` command. If you can see all the nodes that have joined the cluster, the cluster building process was successfully completed. For specific operation procedures and precautions, please refer to the document "[TDengine Cluster Installation and Management](/cluster/)".
|
||||
Finally, start `taos` and execute the `show dnodes` command. If you can see all the nodes that have joined the cluster, the cluster building process was successfully completed. For specific operation procedures and precautions, please refer to the document "[TDengine Cluster Deployment](../../deployment)".
|
||||
|
||||
## Appendix 4: Super Table Names
|
||||
|
||||
|
|
@ -431,5 +431,5 @@ Since OpenTSDB's metric name has a dot (".") in it, for example, a metric with a
|
|||
|
||||
## Appendix 5: Reference Articles
|
||||
|
||||
1. [Using TDengine + collectd/StatsD + Grafana to quickly build an IT operation and maintenance monitoring system](/application/collectd/)
|
||||
2. [Write collected data directly to TDengine through collectd](/third-party/collectd/)
|
||||
1. [Using TDengine + collectd/StatsD + Grafana to quickly build an IT operation and maintenance monitoring system](../collectd/)
|
||||
2. [Write collected data directly to TDengine through collectd](../collectd/)
|
||||
|
|
|
|||
|
|
@ -1,285 +0,0 @@
|
|||
---
|
||||
sidebar_label: TDengine in Docker
|
||||
title: Deploy TDengine in Docker
|
||||
---
|
||||
|
||||
We do not recommend deploying TDengine using Docker in a production system. However, Docker is still very useful in a development environment, especially when your host is not Linux. From version 2.0.14.0, the official image of TDengine can support X86-64, X86, arm64, and rm32 .
|
||||
|
||||
In this chapter we introduce a simple step by step guide to use TDengine in Docker.
|
||||
|
||||
## Install Docker
|
||||
|
||||
To install Docker please refer to [Get Docker](https://docs.docker.com/get-docker/).
|
||||
|
||||
After Docker is installed, you can check whether Docker is installed properly by displaying Docker version.
|
||||
|
||||
```bash
|
||||
$ docker -v
|
||||
Docker version 20.10.3, build 48d30b5
|
||||
```
|
||||
|
||||
## Launch TDengine in Docker
|
||||
|
||||
### Launch TDengine Server
|
||||
|
||||
```bash
|
||||
$ docker run -d -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp tdengine/tdengine
|
||||
526aa188da767ae94b244226a2b2eec2b5f17dd8eff592893d9ec0cd0f3a1ccd
|
||||
```
|
||||
|
||||
In the above command, a docker container is started to run TDengine server, the port range 6030-6049 of the container is mapped to host port range 6030-6049. If port range 6030-6049 has been occupied on the host, please change to an available host port range. For port requirements on the host, please refer to [Port Configuration](/reference/config/#serverport).
|
||||
|
||||
- **docker run**: Launch a docker container
|
||||
- **-d**: the container will run in background mode
|
||||
- **-p**: port mapping
|
||||
- **tdengine/tdengine**: The image from which to launch the container
|
||||
- **526aa188da767ae94b244226a2b2eec2b5f17dd8eff592893d9ec0cd0f3a1ccd**: the container ID if successfully launched.
|
||||
|
||||
Furthermore, `--name` can be used with `docker run` to specify name for the container, `--hostname` can be used to specify hostname for the container, `-v` can be used to mount local volumes to the container so that the data generated inside the container can be persisted to disk on the host.
|
||||
|
||||
```bash
|
||||
docker run -d --name tdengine --hostname="tdengine-server" -v ~/work/taos/log:/var/log/taos -v ~/work/taos/data:/var/lib/taos -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp tdengine/tdengine
|
||||
```
|
||||
|
||||
- **--name tdengine**: specify the name of the container, the name can be used to specify the container later
|
||||
- **--hostname=tdengine-server**: specify the hostname inside the container, the hostname can be used inside the container without worrying the container IP may vary
|
||||
- **-v**: volume mapping between host and container
|
||||
|
||||
### Check the container
|
||||
|
||||
```bash
|
||||
docker ps
|
||||
```
|
||||
|
||||
The output is like below:
|
||||
|
||||
```
|
||||
CONTAINER ID IMAGE COMMAND CREATED STATUS ···
|
||||
c452519b0f9b tdengine/tdengine "taosd" 14 minutes ago Up 14 minutes ···
|
||||
```
|
||||
|
||||
- **docker ps**: List all the containers
|
||||
- **CONTAINER ID**: Container ID
|
||||
- **IMAGE**: The image used for the container
|
||||
- **COMMAND**: The command used when launching the container
|
||||
- **CREATED**: When the container was created
|
||||
- **STATUS**: Status of the container
|
||||
|
||||
### Access TDengine inside container
|
||||
|
||||
```bash
|
||||
$ docker exec -it tdengine /bin/bash
|
||||
root@tdengine-server:~/TDengine-server-2.4.0.4#
|
||||
```
|
||||
|
||||
- **docker exec**: Attach to the container
|
||||
- **-i**: Interactive mode
|
||||
- **-t**: Use terminal
|
||||
- **tdengine**: Container name, up to the output of `docker ps`
|
||||
- **/bin/bash**: The command to execute once the container is attached
|
||||
|
||||
Inside the container, start TDengine CLI `taos`
|
||||
|
||||
```bash
|
||||
root@tdengine-server:~/TDengine-server-2.4.0.4# taos
|
||||
|
||||
Welcome to the TDengine shell from Linux, Client Version:2.4.0.4
|
||||
Copyright (c) 2020 by TAOS Data, Inc. All rights reserved.
|
||||
|
||||
taos>
|
||||
```
|
||||
|
||||
The above example is for a successful connection. If `taos` fails to connect to the server side, error information would be shown.
|
||||
|
||||
In TDengine CLI, SQL commands can be executed to create/drop databases, tables, STables, and insert or query data. For details please refer to [TAOS SQL](/taos-sql/).
|
||||
|
||||
### Access TDengine from host
|
||||
|
||||
If option `-p` used to map ports properly between host and container, it's also able to access TDengine in container from the host as long as `firstEp` is configured correctly for the client on host.
|
||||
|
||||
```
|
||||
$ taos
|
||||
|
||||
Welcome to the TDengine shell from Linux, Client Version:2.4.0.4
|
||||
Copyright (c) 2020 by TAOS Data, Inc. All rights reserved.
|
||||
|
||||
taos>
|
||||
```
|
||||
|
||||
It's also able to access the REST interface provided by TDengine in container from the host.
|
||||
|
||||
```
|
||||
curl -L -u root:taosdata -d "show databases" 127.0.0.1:6041/rest/sql
|
||||
```
|
||||
|
||||
Output is like below:
|
||||
|
||||
```
|
||||
{"status":"succ","head":["name","created_time","ntables","vgroups","replica","quorum","days","keep0,keep1,keep(D)","cache(MB)","blocks","minrows","maxrows","wallevel","fsync","comp","cachelast","precision","update","status"],"column_meta":[["name",8,32],["created_time",9,8],["ntables",4,4],["vgroups",4,4],["replica",3,2],["quorum",3,2],["days",3,2],["keep0,keep1,keep(D)",8,24],["cache(MB)",4,4],["blocks",4,4],["minrows",4,4],["maxrows",4,4],["wallevel",2,1],["fsync",4,4],["comp",2,1],["cachelast",2,1],["precision",8,3],["update",2,1],["status",8,10]],"data":[["test","2021-08-18 06:01:11.021",10000,4,1,1,10,"3650,3650,3650",16,6,100,4096,1,3000,2,0,"ms",0,"ready"],["log","2021-08-18 05:51:51.065",4,1,1,1,10,"30,30,30",1,3,100,4096,1,3000,2,0,"us",0,"ready"]],"rows":2}
|
||||
```
|
||||
|
||||
For details of REST API please refer to [REST API](/reference/rest-api/).
|
||||
|
||||
### Run TDengine server and taosAdapter inside container
|
||||
|
||||
From version 2.4.0.0, in the TDengine Docker image, `taosAdapter` is enabled by default, but can be disabled using environment variable `TAOS_DISABLE_ADAPTER=true` . `taosAdapter` can also be run alone without `taosd` when launching a container.
|
||||
|
||||
For the port mapping of `taosAdapter`, please refer to [taosAdapter](/reference/taosadapter/).
|
||||
|
||||
- Run both `taosd` and `taosAdapter` (by default) in docker container:
|
||||
|
||||
```bash
|
||||
docker run -d --name tdengine-all -p 6030-6049:6030-6049 -p 6030-6049:6030-6049/udp tdengine/tdengine:2.4.0.4
|
||||
```
|
||||
|
||||
- Run `taosAdapter` only in docker container, `TAOS_FIRST_EP` environment variable needs to be used to specify the container name in which `taosd` is running:
|
||||
|
||||
```bash
|
||||
docker run -d --name tdengine-taosa -p 6041-6049:6041-6049 -p 6041-6049:6041-6049/udp -e TAOS_FIRST_EP=tdengine-all tdengine/tdengine:2.4.0.4 taosadapter
|
||||
```
|
||||
|
||||
- Run `taosd` only in docker container:
|
||||
|
||||
```bash
|
||||
docker run -d --name tdengine-taosd -p 6030-6042:6030-6042 -p 6030-6042:6030-6042/udp -e TAOS_DISABLE_ADAPTER=true tdengine/tdengine:2.4.0.4
|
||||
```
|
||||
|
||||
- Verify the REST interface:
|
||||
|
||||
```bash
|
||||
curl -L -H "Authorization: Basic cm9vdDp0YW9zZGF0YQ==" -d "show databases;" 127.0.0.1:6041/rest/sql
|
||||
```
|
||||
|
||||
Below is an example output:
|
||||
|
||||
```
|
||||
{"status":"succ","head":["name","created_time","ntables","vgroups","replica","quorum","days","keep","cache(MB)","blocks","minrows","maxrows","wallevel","fsync","comp","cachelast","precision","update","status"],"column_meta":[["name",8,32],["created_time",9,8],["ntables",4,4],["vgroups",4,4],["replica",3,2],["quorum",3,2],["days",3,2],["keep",8,24],["cache(MB)",4,4],["blocks",4,4],["minrows",4,4],["maxrows",4,4],["wallevel",2,1],["fsync",4,4],["comp",2,1],["cachelast",2,1],["precision",8,3],["update",2,1],["status",8,10]],"data":[["log","2021-12-28 09:18:55.765",10,1,1,1,10,"30",1,3,100,4096,1,3000,2,0,"us",0,"ready"]],"rows":1}
|
||||
```
|
||||
|
||||
### Use taosBenchmark on host to access TDengine server in container
|
||||
|
||||
1. Run `taosBenchmark`, named as `taosdemo` previously, on the host:
|
||||
|
||||
```bash
|
||||
$ taosBenchmark
|
||||
|
||||
taosBenchmark is simulating data generated by power equipments monitoring...
|
||||
|
||||
host: 127.0.0.1:6030
|
||||
user: root
|
||||
password: taosdata
|
||||
configDir:
|
||||
resultFile: ./output.txt
|
||||
thread num of insert data: 10
|
||||
thread num of create table: 10
|
||||
top insert interval: 0
|
||||
number of records per req: 30000
|
||||
max sql length: 1048576
|
||||
database count: 1
|
||||
database[0]:
|
||||
database[0] name: test
|
||||
drop: yes
|
||||
replica: 1
|
||||
precision: ms
|
||||
super table count: 1
|
||||
super table[0]:
|
||||
stbName: meters
|
||||
autoCreateTable: no
|
||||
childTblExists: no
|
||||
childTblCount: 10000
|
||||
childTblPrefix: d
|
||||
dataSource: rand
|
||||
iface: taosc
|
||||
insertRows: 10000
|
||||
interlaceRows: 0
|
||||
disorderRange: 1000
|
||||
disorderRatio: 0
|
||||
maxSqlLen: 1048576
|
||||
timeStampStep: 1
|
||||
startTimestamp: 2017-07-14 10:40:00.000
|
||||
sampleFormat:
|
||||
sampleFile:
|
||||
tagsFile:
|
||||
columnCount: 3
|
||||
column[0]:FLOAT column[1]:INT column[2]:FLOAT
|
||||
tagCount: 2
|
||||
tag[0]:INT tag[1]:BINARY(16)
|
||||
|
||||
Press enter key to continue or Ctrl-C to stop
|
||||
```
|
||||
|
||||
Once the execution is finished, a database `test` is created, a STable `meters` is created in database `test`, 10,000 sub tables are created using `meters` as template, named as "d0" to "d9999", while 10,000 rows are inserted into each table, so totally 100,000,000 rows are inserted.
|
||||
|
||||
2. Check the data
|
||||
|
||||
- **Check database**
|
||||
|
||||
```bash
|
||||
$ taos> show databases;
|
||||
name | created_time | ntables | vgroups | ···
|
||||
test | 2021-08-18 06:01:11.021 | 10000 | 6 | ···
|
||||
log | 2021-08-18 05:51:51.065 | 4 | 1 | ···
|
||||
|
||||
```
|
||||
|
||||
- **Check STable**
|
||||
|
||||
```bash
|
||||
$ taos> use test;
|
||||
Database changed.
|
||||
|
||||
$ taos> show stables;
|
||||
name | created_time | columns | tags | tables |
|
||||
============================================================================================
|
||||
meters | 2021-08-18 06:01:11.116 | 4 | 2 | 10000 |
|
||||
Query OK, 1 row(s) in set (0.003259s)
|
||||
|
||||
```
|
||||
|
||||
- **Check Tables**
|
||||
|
||||
```bash
|
||||
$ taos> select * from test.t0 limit 10;
|
||||
|
||||
DB error: Table does not exist (0.002857s)
|
||||
taos> select * from test.d0 limit 10;
|
||||
ts | current | voltage | phase |
|
||||
======================================================================================
|
||||
2017-07-14 10:40:00.000 | 10.12072 | 223 | 0.34167 |
|
||||
2017-07-14 10:40:00.001 | 10.16103 | 224 | 0.34445 |
|
||||
2017-07-14 10:40:00.002 | 10.00204 | 220 | 0.33334 |
|
||||
2017-07-14 10:40:00.003 | 10.00030 | 220 | 0.33333 |
|
||||
2017-07-14 10:40:00.004 | 9.84029 | 216 | 0.32222 |
|
||||
2017-07-14 10:40:00.005 | 9.88028 | 217 | 0.32500 |
|
||||
2017-07-14 10:40:00.006 | 9.88110 | 217 | 0.32500 |
|
||||
2017-07-14 10:40:00.007 | 10.08137 | 222 | 0.33889 |
|
||||
2017-07-14 10:40:00.008 | 10.12063 | 223 | 0.34167 |
|
||||
2017-07-14 10:40:00.009 | 10.16086 | 224 | 0.34445 |
|
||||
Query OK, 10 row(s) in set (0.016791s)
|
||||
|
||||
```
|
||||
|
||||
- **Check tag values of table d0**
|
||||
|
||||
```bash
|
||||
$ taos> select groupid, location from test.d0;
|
||||
groupid | location |
|
||||
=================================
|
||||
0 | California.SanDiego |
|
||||
Query OK, 1 row(s) in set (0.003490s)
|
||||
```
|
||||
|
||||
### Access TDengine from 3rd party tools
|
||||
|
||||
A lot of 3rd party tools can be used to write data into TDengine through `taosAdapter`, for details please refer to [3rd party tools](/third-party/).
|
||||
|
||||
There is nothing different from the 3rd party side to access TDengine server inside a container, as long as the end point is specified correctly, the end point should be the FQDN and the mapped port of the host.
|
||||
|
||||
## Stop TDengine inside container
|
||||
|
||||
```bash
|
||||
docker stop tdengine
|
||||
```
|
||||
|
||||
- **docker stop**: stop a container
|
||||
- **tdengine**: container name
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
---
|
||||
sidebar_label: Releases
|
||||
title: Released Versions
|
||||
---
|
||||
|
||||
import Release from "/components/ReleaseV3";
|
||||
|
||||
|
||||
<Release versionPrefix="3.0" />
|
||||
|
|
@ -1,38 +0,0 @@
|
|||
"""
|
||||
Python asynchronous subscribe demo.
|
||||
run on Linux system with: python3 subscribe_demo.py
|
||||
"""
|
||||
|
||||
from ctypes import c_void_p
|
||||
|
||||
import taos
|
||||
import time
|
||||
|
||||
|
||||
def query_callback(p_sub, p_result, p_param, code):
|
||||
"""
|
||||
:param p_sub: pointer returned by native API -- taos_subscribe
|
||||
:param p_result: pointer to native TAOS_RES
|
||||
:param p_param: None
|
||||
:param code: error code
|
||||
:return: None
|
||||
"""
|
||||
print("in callback")
|
||||
result = taos.TaosResult(c_void_p(p_result))
|
||||
# raise exception if error occur
|
||||
result.check_error(code)
|
||||
for row in result.rows_iter():
|
||||
print(row)
|
||||
print(f"{result.row_count} rows consumed.")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
conn = taos.connect()
|
||||
restart = True
|
||||
topic = "topic-meter-current-bg"
|
||||
sql = "select * from power.meters where current > 10" # Error sql
|
||||
interval = 2000 # consumption interval in microseconds.
|
||||
_ = conn.subscribe(restart, topic, sql, interval, query_callback)
|
||||
# Note: we received the return value as _ above, to avoid the TaosSubscription object to be deleted by gc.
|
||||
while True:
|
||||
time.sleep(10) # use Ctrl + C to interrupt
|
||||
|
|
@ -72,6 +72,9 @@ install.sh 安装脚本在执行过程中，会通过命令行交互界面询问
|
|||
1. 从列表中下载获得 exe 安装程序；
|
||||
<PkgListV3 type={3}/>
|
||||
2. 运行可执行程序来安装 TDengine。
|
||||
:::info
|
||||
目前 TDengine 在 Windows 平台上只支持 Windows server 2016/2019 和 Windows 10/11 系统版本。
|
||||
:::
|
||||
|
||||
</TabItem>
|
||||
<TabItem value="apt-get" label="apt-get">
|
||||
|
|
|
|||
|
|
@ -187,7 +187,7 @@ TDengine 中时间戳的时区总是由客户端进行处理，而与服务端
|
|||
|
||||
### 17. 为什么 RESTful 接口无响应、Grafana 无法添加 TDengine 为数据源、TDengineGUI 选了 6041 端口还是无法连接成功？
|
||||
|
||||
taosAdapter 从 TDengine 2.4.0.0 版本开始成为 TDengine 服务端软件的组成部分，是 TDengine 集群和应用程序之间的桥梁和适配器。在此之前 RESTful 接口等功能是由 taosd 内置的 HTTP 服务提供的，而如今要实现上述功能需要执行：```systemctl start taosadapter``` 命令来启动 taosAdapter 服务。
|
||||
这个现象可能是因为 taosAdapter 没有被正确启动引起的，需要执行：```systemctl start taosadapter``` 命令来启动 taosAdapter 服务。
|
||||
|
||||
需要说明的是，taosAdapter 的日志路径 path 需要单独配置，默认路径是 /var/log/taos ；日志等级 logLevel 有 8 个等级，默认等级是 info ，配置成 panic 可关闭日志输出。请注意操作系统 / 目录的空间大小，可通过命令行参数、环境变量或配置文件来修改配置，默认配置文件是 /etc/taos/taosadapter.toml 。
|
||||
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.34</version>
|
||||
<version>3.0.0</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
|
|
|
|||
|
|
@ -47,7 +47,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.18</version>
|
||||
<version>3.0.0</version>
|
||||
</dependency>
|
||||
|
||||
</dependencies>
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@
|
|||
```xml
|
||||
<bean id="dataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource">
|
||||
<property name="driverClassName" value="com.taosdata.jdbc.TSDBDriver"></property>
|
||||
<property name="url" value="jdbc:TAOS://127.0.0.1:6030/log"></property>
|
||||
<property name="url" value="jdbc:TAOS://127.0.0.1:6030/test"></property>
|
||||
<property name="username" value="root"></property>
|
||||
<property name="password" value="taosdata"></property>
|
||||
</bean>
|
||||
|
|
@ -28,5 +28,5 @@ mvn clean package
|
|||
```
|
||||
打包成功之后，进入 `target/` 目录下，执行以下命令就可运行测试：
|
||||
```shell
|
||||
java -jar SpringJdbcTemplate-1.0-SNAPSHOT-jar-with-dependencies.jar
|
||||
java -jar target/SpringJdbcTemplate-1.0-SNAPSHOT-jar-with-dependencies.jar
|
||||
```
|
||||
|
|
@ -28,7 +28,7 @@ public class App {
|
|||
//use database
|
||||
executor.doExecute("use test");
|
||||
// create table
|
||||
executor.doExecute("create table if not exists test.weather (ts timestamp, temperature int, humidity float)");
|
||||
executor.doExecute("create table if not exists test.weather (ts timestamp, temperature float, humidity int)");
|
||||
|
||||
WeatherDao weatherDao = ctx.getBean(WeatherDao.class);
|
||||
Weather weather = new Weather(new Timestamp(new Date().getTime()), random.nextFloat() * 50.0f, random.nextInt(100));
|
||||
|
|
|
|||
|
|
@ -41,7 +41,7 @@ public class BatcherInsertTest {
|
|||
//use database
|
||||
executor.doExecute("use test");
|
||||
// create table
|
||||
executor.doExecute("create table if not exists test.weather (ts timestamp, temperature int, humidity float)");
|
||||
executor.doExecute("create table if not exists test.weather (ts timestamp, temperature float, humidity int)");
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
|
|||
|
|
@ -13,13 +13,13 @@ ConnectionPoolDemo的程序逻辑：
|
|||
### 如何运行这个例子：
|
||||
|
||||
```shell script
|
||||
mvn clean package assembly:single
|
||||
java -jar target/connectionPools-1.0-SNAPSHOT-jar-with-dependencies.jar -host 127.0.0.1
|
||||
mvn clean package
|
||||
java -jar target/ConnectionPoolDemo-jar-with-dependencies.jar -host 127.0.0.1
|
||||
```
|
||||
使用mvn运行ConnectionPoolDemo的main方法，可以指定参数
|
||||
```shell script
|
||||
Usage:
|
||||
java -jar target/connectionPools-1.0-SNAPSHOT-jar-with-dependencies.jar
|
||||
java -jar target/ConnectionPoolDemo-jar-with-dependencies.jar
|
||||
-host : hostname
|
||||
-poolType <c3p0| dbcp| druid| hikari>
|
||||
-poolSize <poolSize>
|
||||
|
|
|
|||
|
|
@ -18,7 +18,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.18</version>
|
||||
<version>3.0.0</version>
|
||||
</dependency>
|
||||
<!-- druid -->
|
||||
<dependency>
|
||||
|
|
|
|||
|
|
@ -47,7 +47,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.18</version>
|
||||
<version>3.0.0</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
|
|
|
|||
|
|
@ -0,0 +1,14 @@
|
|||
# 使用说明
|
||||
|
||||
## 创建使用db
|
||||
```shell
|
||||
$ taos
|
||||
|
||||
> create database mp_test
|
||||
```
|
||||
|
||||
## 执行测试用例
|
||||
|
||||
```shell
|
||||
$ mvn clean test
|
||||
```
|
||||
|
|
@ -2,7 +2,17 @@ package com.taosdata.example.mybatisplusdemo.mapper;
|
|||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.taosdata.example.mybatisplusdemo.domain.Weather;
|
||||
import org.apache.ibatis.annotations.Insert;
|
||||
import org.apache.ibatis.annotations.Update;
|
||||
|
||||
public interface WeatherMapper extends BaseMapper<Weather> {
|
||||
|
||||
@Update("CREATE TABLE if not exists weather(ts timestamp, temperature float, humidity int, location nchar(100))")
|
||||
int createTable();
|
||||
|
||||
@Insert("insert into weather (ts, temperature, humidity, location) values(#{ts}, #{temperature}, #{humidity}, #{location})")
|
||||
int insertOne(Weather one);
|
||||
|
||||
@Update("drop table if exists weather")
|
||||
void dropTable();
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ spring:
|
|||
datasource:
|
||||
driver-class-name: com.taosdata.jdbc.TSDBDriver
|
||||
url: jdbc:TAOS://localhost:6030/mp_test?charset=UTF-8&locale=en_US.UTF-8&timezone=UTC-8
|
||||
user: root
|
||||
username: root
|
||||
password: taosdata
|
||||
|
||||
druid:
|
||||
|
|
|
|||
|
|
@ -82,27 +82,15 @@ public class TemperatureMapperTest {
|
|||
Assert.assertEquals(1, affectRows);
|
||||
}
|
||||
|
||||
/***
|
||||
* test SelectOne
|
||||
* **/
|
||||
@Test
|
||||
public void testSelectOne() {
|
||||
QueryWrapper<Temperature> wrapper = new QueryWrapper<>();
|
||||
wrapper.eq("location", "beijing");
|
||||
Temperature one = mapper.selectOne(wrapper);
|
||||
System.out.println(one);
|
||||
Assert.assertNotNull(one);
|
||||
}
|
||||
|
||||
/***
|
||||
* test select By map
|
||||
* ***/
|
||||
@Test
|
||||
public void testSelectByMap() {
|
||||
Map<String, Object> map = new HashMap<>();
|
||||
map.put("location", "beijing");
|
||||
map.put("location", "北京");
|
||||
List<Temperature> temperatures = mapper.selectByMap(map);
|
||||
Assert.assertEquals(1, temperatures.size());
|
||||
Assert.assertTrue(temperatures.size() > 1);
|
||||
}
|
||||
|
||||
/***
|
||||
|
|
@ -120,7 +108,7 @@ public class TemperatureMapperTest {
|
|||
@Test
|
||||
public void testSelectCount() {
|
||||
int count = mapper.selectCount(null);
|
||||
Assert.assertEquals(5, count);
|
||||
Assert.assertEquals(10, count);
|
||||
}
|
||||
|
||||
/****
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@ import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
|||
import com.taosdata.example.mybatisplusdemo.domain.Weather;
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
import org.junit.Before;
|
||||
import org.junit.runner.RunWith;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.boot.test.context.SpringBootTest;
|
||||
|
|
@ -26,6 +27,18 @@ public class WeatherMapperTest {
|
|||
@Autowired
|
||||
private WeatherMapper mapper;
|
||||
|
||||
@Before
|
||||
public void createTable(){
|
||||
mapper.dropTable();
|
||||
mapper.createTable();
|
||||
Weather one = new Weather();
|
||||
one.setTs(new Timestamp(1605024000000l));
|
||||
one.setTemperature(12.22f);
|
||||
one.setLocation("望京");
|
||||
one.setHumidity(100);
|
||||
mapper.insertOne(one);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testSelectList() {
|
||||
List<Weather> weathers = mapper.selectList(null);
|
||||
|
|
@ -46,20 +59,20 @@ public class WeatherMapperTest {
|
|||
@Test
|
||||
public void testSelectOne() {
|
||||
QueryWrapper<Weather> wrapper = new QueryWrapper<>();
|
||||
wrapper.eq("location", "beijing");
|
||||
wrapper.eq("location", "望京");
|
||||
Weather one = mapper.selectOne(wrapper);
|
||||
System.out.println(one);
|
||||
Assert.assertEquals(12.22f, one.getTemperature(), 0.00f);
|
||||
Assert.assertEquals("beijing", one.getLocation());
|
||||
Assert.assertEquals("望京", one.getLocation());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testSelectByMap() {
|
||||
Map<String, Object> map = new HashMap<>();
|
||||
map.put("location", "beijing");
|
||||
List<Weather> weathers = mapper.selectByMap(map);
|
||||
Assert.assertEquals(1, weathers.size());
|
||||
}
|
||||
// @Test
|
||||
// public void testSelectByMap() {
|
||||
// Map<String, Object> map = new HashMap<>();
|
||||
// map.put("location", "beijing");
|
||||
// List<Weather> weathers = mapper.selectByMap(map);
|
||||
// Assert.assertEquals(1, weathers.size());
|
||||
// }
|
||||
|
||||
@Test
|
||||
public void testSelectObjs() {
|
||||
|
|
|
|||
|
|
@ -10,4 +10,4 @@
|
|||
| 6 | taosdemo | This is an internal tool for testing Our JDBC-JNI, JDBC-RESTful, RESTful interfaces |
|
||||
|
||||
|
||||
more detail: https://www.taosdata.com/cn//documentation20/connector-java/
|
||||
more detail: https://docs.taosdata.com/reference/connector/java/
|
||||
|
|
@ -68,7 +68,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.34</version>
|
||||
<version>3.0.0</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
|
|
|
|||
|
|
@ -1,10 +1,11 @@
|
|||
## TDengine SpringBoot + Mybatis Demo
|
||||
|
||||
## 需要提前创建 test 数据库
|
||||
### 配置 application.properties
|
||||
```properties
|
||||
# datasource config
|
||||
spring.datasource.driver-class-name=com.taosdata.jdbc.TSDBDriver
|
||||
spring.datasource.url=jdbc:TAOS://127.0.0.1:6030/log
|
||||
spring.datasource.url=jdbc:TAOS://127.0.0.1:6030/test
|
||||
spring.datasource.username=root
|
||||
spring.datasource.password=taosdata
|
||||
|
||||
|
|
|
|||
|
|
@ -6,7 +6,6 @@ import org.springframework.beans.factory.annotation.Autowired;
|
|||
import org.springframework.web.bind.annotation.*;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
@RequestMapping("/weather")
|
||||
@RestController
|
||||
|
|
|
|||
|
|
@ -10,8 +10,7 @@
|
|||
</resultMap>
|
||||
|
||||
<select id="lastOne" resultType="java.util.Map">
|
||||
select last_row(*), location, groupid
|
||||
from test.weather
|
||||
select last_row(ts) as ts, last_row(temperature) as temperature, last_row(humidity) as humidity, last_row(note) as note,last_row(location) as location , last_row(groupid) as groupid from test.weather;
|
||||
</select>
|
||||
|
||||
<update id="dropDB">
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@
|
|||
#spring.datasource.password=taosdata
|
||||
# datasource config - JDBC-RESTful
|
||||
spring.datasource.driver-class-name=com.taosdata.jdbc.rs.RestfulDriver
|
||||
spring.datasource.url=jdbc:TAOS-RS://localhsot:6041/test?timezone=UTC-8&charset=UTF-8&locale=en_US.UTF-8
|
||||
spring.datasource.url=jdbc:TAOS-RS://localhost:6041/test?timezone=UTC-8&charset=UTF-8&locale=en_US.UTF-8
|
||||
spring.datasource.username=root
|
||||
spring.datasource.password=taosdata
|
||||
spring.datasource.druid.initial-size=5
|
||||
|
|
|
|||
|
|
@ -67,7 +67,7 @@
|
|||
<dependency>
|
||||
<groupId>com.taosdata.jdbc</groupId>
|
||||
<artifactId>taos-jdbcdriver</artifactId>
|
||||
<version>2.0.20</version>
|
||||
<version>3.0.0</version>
|
||||
<!-- <scope>system</scope>-->
|
||||
<!-- <systemPath>${project.basedir}/src/main/resources/lib/taos-jdbcdriver-2.0.15-dist.jar</systemPath>-->
|
||||
</dependency>
|
||||
|
|
|
|||
|
|
@ -2,9 +2,9 @@
|
|||
cd tests/examples/JDBC/taosdemo
|
||||
mvn clean package -Dmaven.test.skip=true
|
||||
# 先建表，再插入的
|
||||
java -jar target/taosdemo-2.0-jar-with-dependencies.jar -host [hostname] -database [database] -doCreateTable true -superTableSQL "create table weather(ts timestamp, f1 int) tags(t1 nchar(4))" -numOfTables 1000 -numOfRowsPerTable 100000000 -numOfThreadsForInsert 10 -numOfTablesPerSQL 10 -numOfValuesPerSQL 100
|
||||
java -jar target/taosdemo-2.0.1-jar-with-dependencies.jar -host [hostname] -database [database] -doCreateTable true -superTableSQL "create table weather(ts timestamp, f1 int) tags(t1 nchar(4))" -numOfTables 1000 -numOfRowsPerTable 100000000 -numOfThreadsForInsert 10 -numOfTablesPerSQL 10 -numOfValuesPerSQL 100
|
||||
# 不建表，直接插入的
|
||||
java -jar target/taosdemo-2.0-jar-with-dependencies.jar -host [hostname] -database [database] -doCreateTable false -superTableSQL "create table weather(ts timestamp, f1 int) tags(t1 nchar(4))" -numOfTables 1000 -numOfRowsPerTable 100000000 -numOfThreadsForInsert 10 -numOfTablesPerSQL 10 -numOfValuesPerSQL 100
|
||||
java -jar target/taosdemo-2.0.1-jar-with-dependencies.jar -host [hostname] -database [database] -doCreateTable false -superTableSQL "create table weather(ts timestamp, f1 int) tags(t1 nchar(4))" -numOfTables 1000 -numOfRowsPerTable 100000000 -numOfThreadsForInsert 10 -numOfTablesPerSQL 10 -numOfValuesPerSQL 100
|
||||
```
|
||||
|
||||
需求：
|
||||
|
|
|
|||
|
|
@ -32,8 +32,10 @@ public class TaosDemoApplication {
|
|||
System.exit(0);
|
||||
}
|
||||
// 初始化
|
||||
final DataSource dataSource = DataSourceFactory.getInstance(config.host, config.port, config.user, config.password);
|
||||
if (config.executeSql != null && !config.executeSql.isEmpty() && !config.executeSql.replaceAll("\\s", "").isEmpty()) {
|
||||
final DataSource dataSource = DataSourceFactory.getInstance(config.host, config.port, config.user,
|
||||
config.password);
|
||||
if (config.executeSql != null && !config.executeSql.isEmpty()
|
||||
&& !config.executeSql.replaceAll("\\s", "").isEmpty()) {
|
||||
Thread task = new Thread(new SqlExecuteTask(dataSource, config.executeSql));
|
||||
task.start();
|
||||
try {
|
||||
|
|
@ -55,7 +57,7 @@ public class TaosDemoApplication {
|
|||
databaseParam.put("keep", Integer.toString(config.keep));
|
||||
databaseParam.put("days", Integer.toString(config.days));
|
||||
databaseParam.put("replica", Integer.toString(config.replica));
|
||||
//TODO: other database parameters
|
||||
// TODO: other database parameters
|
||||
databaseService.createDatabase(databaseParam);
|
||||
databaseService.useDatabase(config.database);
|
||||
long end = System.currentTimeMillis();
|
||||
|
|
@ -70,11 +72,13 @@ public class TaosDemoApplication {
|
|||
if (config.database != null && !config.database.isEmpty())
|
||||
superTableMeta.setDatabase(config.database);
|
||||
} else if (config.numOfFields == 0) {
|
||||
String sql = "create table " + config.database + "." + config.superTable + " (ts timestamp, temperature float, humidity int) tags(location nchar(64), groupId int)";
|
||||
String sql = "create table " + config.database + "." + config.superTable
|
||||
+ " (ts timestamp, temperature float, humidity int) tags(location nchar(64), groupId int)";
|
||||
superTableMeta = SuperTableMetaGenerator.generate(sql);
|
||||
} else {
|
||||
// create super table with specified field size and tag size
|
||||
superTableMeta = SuperTableMetaGenerator.generate(config.database, config.superTable, config.numOfFields, config.prefixOfFields, config.numOfTags, config.prefixOfTags);
|
||||
superTableMeta = SuperTableMetaGenerator.generate(config.database, config.superTable, config.numOfFields,
|
||||
config.prefixOfFields, config.numOfTags, config.prefixOfTags);
|
||||
}
|
||||
/**********************************************************************************/
|
||||
// 建表
|
||||
|
|
@ -84,7 +88,8 @@ public class TaosDemoApplication {
|
|||
superTableService.create(superTableMeta);
|
||||
if (!config.autoCreateTable) {
|
||||
// 批量建子表
|
||||
subTableService.createSubTable(superTableMeta, config.numOfTables, config.prefixOfTable, config.numOfThreadsForCreate);
|
||||
subTableService.createSubTable(superTableMeta, config.numOfTables, config.prefixOfTable,
|
||||
config.numOfThreadsForCreate);
|
||||
}
|
||||
}
|
||||
end = System.currentTimeMillis();
|
||||
|
|
@ -93,7 +98,7 @@ public class TaosDemoApplication {
|
|||
// 插入
|
||||
long tableSize = config.numOfTables;
|
||||
int threadSize = config.numOfThreadsForInsert;
|
||||
long startTime = getProperStartTime(config.startTime, config.keep);
|
||||
long startTime = getProperStartTime(config.startTime, config.days);
|
||||
|
||||
if (tableSize < threadSize)
|
||||
threadSize = (int) tableSize;
|
||||
|
|
@ -101,13 +106,13 @@ public class TaosDemoApplication {
|
|||
|
||||
start = System.currentTimeMillis();
|
||||
// multi threads to insert
|
||||
int affectedRows = subTableService.insertMultiThreads(superTableMeta, threadSize, tableSize, startTime, gap, config);
|
||||
int affectedRows = subTableService.insertMultiThreads(superTableMeta, threadSize, tableSize, startTime, gap,
|
||||
config);
|
||||
end = System.currentTimeMillis();
|
||||
logger.info("insert " + affectedRows + " rows, time cost: " + (end - start) + " ms");
|
||||
/**********************************************************************************/
|
||||
// 查询
|
||||
|
||||
|
||||
/**********************************************************************************/
|
||||
// 删除表
|
||||
if (config.dropTable) {
|
||||
|
|
|
|||
|
|
@ -1,7 +1,5 @@
|
|||
package com.taosdata.taosdemo.service;
|
||||
|
||||
import com.taosdata.jdbc.utils.SqlSyntaxValidator;
|
||||
|
||||
import javax.sql.DataSource;
|
||||
import java.sql.*;
|
||||
import java.util.ArrayList;
|
||||
|
|
@ -23,10 +21,6 @@ public class QueryService {
|
|||
Boolean[] ret = new Boolean[sqls.length];
|
||||
for (int i = 0; i < sqls.length; i++) {
|
||||
ret[i] = true;
|
||||
if (!SqlSyntaxValidator.isValidForExecuteQuery(sqls[i])) {
|
||||
ret[i] = false;
|
||||
continue;
|
||||
}
|
||||
try (Connection conn = dataSource.getConnection(); Statement stmt = conn.createStatement()) {
|
||||
stmt.executeQuery(sqls[i]);
|
||||
} catch (SQLException e) {
|
||||
|
|
|
|||
|
|
@ -15,9 +15,12 @@ public class SqlSpeller {
|
|||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("create database if not exists ").append(map.get("database")).append(" ");
|
||||
if (map.containsKey("keep"))
|
||||
sb.append("keep ").append(map.get("keep")).append(" ");
|
||||
if (map.containsKey("days"))
|
||||
sb.append("days ").append(map.get("days")).append(" ");
|
||||
sb.append("keep ");
|
||||
if (map.containsKey("days")) {
|
||||
sb.append(map.get("days")).append("d ");
|
||||
} else {
|
||||
sb.append(" ");
|
||||
}
|
||||
if (map.containsKey("replica"))
|
||||
sb.append("replica ").append(map.get("replica")).append(" ");
|
||||
if (map.containsKey("cache"))
|
||||
|
|
@ -29,7 +32,7 @@ public class SqlSpeller {
|
|||
if (map.containsKey("maxrows"))
|
||||
sb.append("maxrows ").append(map.get("maxrows")).append(" ");
|
||||
if (map.containsKey("precision"))
|
||||
sb.append("precision ").append(map.get("precision")).append(" ");
|
||||
sb.append("precision '").append(map.get("precision")).append("' ");
|
||||
if (map.containsKey("comp"))
|
||||
sb.append("comp ").append(map.get("comp")).append(" ");
|
||||
if (map.containsKey("walLevel"))
|
||||
|
|
@ -46,11 +49,13 @@ public class SqlSpeller {
|
|||
// create table if not exists xx.xx using xx.xx tags(x,x,x)
|
||||
public static String createTableUsingSuperTable(SubTableMeta subTableMeta) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("create table if not exists ").append(subTableMeta.getDatabase()).append(".").append(subTableMeta.getName()).append(" ");
|
||||
sb.append("using ").append(subTableMeta.getDatabase()).append(".").append(subTableMeta.getSupertable()).append(" ");
|
||||
// String tagStr = subTableMeta.getTags().stream().filter(Objects::nonNull)
|
||||
// .map(tagValue -> tagValue.getName() + " '" + tagValue.getValue() + "' ")
|
||||
// .collect(Collectors.joining(",", "(", ")"));
|
||||
sb.append("create table if not exists ").append(subTableMeta.getDatabase()).append(".")
|
||||
.append(subTableMeta.getName()).append(" ");
|
||||
sb.append("using ").append(subTableMeta.getDatabase()).append(".").append(subTableMeta.getSupertable())
|
||||
.append(" ");
|
||||
// String tagStr = subTableMeta.getTags().stream().filter(Objects::nonNull)
|
||||
// .map(tagValue -> tagValue.getName() + " '" + tagValue.getValue() + "' ")
|
||||
// .collect(Collectors.joining(",", "(", ")"));
|
||||
sb.append("tags ").append(tagValues(subTableMeta.getTags()));
|
||||
return sb.toString();
|
||||
}
|
||||
|
|
@ -63,7 +68,7 @@ public class SqlSpeller {
|
|||
return sb.toString();
|
||||
}
|
||||
|
||||
//f1, f2, f3
|
||||
// f1, f2, f3
|
||||
private static String fieldValues(List<FieldValue> fields) {
|
||||
return IntStream.range(0, fields.size()).mapToObj(i -> {
|
||||
if (i == 0) {
|
||||
|
|
@ -73,13 +78,13 @@ public class SqlSpeller {
|
|||
}
|
||||
}).collect(Collectors.joining(",", "(", ")"));
|
||||
|
||||
// return fields.stream()
|
||||
// .filter(Objects::nonNull)
|
||||
// .map(fieldValue -> "'" + fieldValue.getValue() + "'")
|
||||
// .collect(Collectors.joining(",", "(", ")"));
|
||||
// return fields.stream()
|
||||
// .filter(Objects::nonNull)
|
||||
// .map(fieldValue -> "'" + fieldValue.getValue() + "'")
|
||||
// .collect(Collectors.joining(",", "(", ")"));
|
||||
}
|
||||
|
||||
//(f1, f2, f3),(f1, f2, f3)
|
||||
// (f1, f2, f3),(f1, f2, f3)
|
||||
private static String rowValues(List<RowValue> rowValues) {
|
||||
return rowValues.stream().filter(Objects::nonNull)
|
||||
.map(rowValue -> fieldValues(rowValue.getFields()))
|
||||
|
|
@ -89,8 +94,10 @@ public class SqlSpeller {
|
|||
// insert into xx.xxx using xx.xx tags(x,x,x) values(x,x,x),(x,x,x)...
|
||||
public static String insertOneTableMultiValuesUsingSuperTable(SubTableValue subTableValue) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("insert into ").append(subTableValue.getDatabase()).append(".").append(subTableValue.getName()).append(" ");
|
||||
sb.append("using ").append(subTableValue.getDatabase()).append(".").append(subTableValue.getSupertable()).append(" ");
|
||||
sb.append("insert into ").append(subTableValue.getDatabase()).append(".").append(subTableValue.getName())
|
||||
.append(" ");
|
||||
sb.append("using ").append(subTableValue.getDatabase()).append(".").append(subTableValue.getSupertable())
|
||||
.append(" ");
|
||||
sb.append("tags ").append(tagValues(subTableValue.getTags()) + " ");
|
||||
sb.append("values ").append(rowValues(subTableValue.getValues()));
|
||||
return sb.toString();
|
||||
|
|
@ -126,7 +133,8 @@ public class SqlSpeller {
|
|||
// create table if not exists xx.xx (f1 xx,f2 xx...) tags(t1 xx, t2 xx...)
|
||||
public static String createSuperTable(SuperTableMeta tableMetadata) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("create table if not exists ").append(tableMetadata.getDatabase()).append(".").append(tableMetadata.getName());
|
||||
sb.append("create table if not exists ").append(tableMetadata.getDatabase()).append(".")
|
||||
.append(tableMetadata.getName());
|
||||
String fields = tableMetadata.getFields().stream()
|
||||
.filter(Objects::nonNull).map(field -> field.getName() + " " + field.getType() + " ")
|
||||
.collect(Collectors.joining(",", "(", ")"));
|
||||
|
|
@ -139,10 +147,10 @@ public class SqlSpeller {
|
|||
return sb.toString();
|
||||
}
|
||||
|
||||
|
||||
public static String createTable(TableMeta tableMeta) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("create table if not exists ").append(tableMeta.getDatabase()).append(".").append(tableMeta.getName()).append(" ");
|
||||
sb.append("create table if not exists ").append(tableMeta.getDatabase()).append(".").append(tableMeta.getName())
|
||||
.append(" ");
|
||||
String fields = tableMeta.getFields().stream()
|
||||
.filter(Objects::nonNull).map(field -> field.getName() + " " + field.getType() + " ")
|
||||
.collect(Collectors.joining(",", "(", ")"));
|
||||
|
|
@ -179,16 +187,17 @@ public class SqlSpeller {
|
|||
public static String insertMultiTableMultiValuesWithColumns(List<TableValue> tables) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("insert into ").append(tables.stream().filter(Objects::nonNull)
|
||||
.map(table -> table.getDatabase() + "." + table.getName() + " " + columnNames(table.getColumns()) + " values " + rowValues(table.getValues()))
|
||||
.map(table -> table.getDatabase() + "." + table.getName() + " " + columnNames(table.getColumns())
|
||||
+ " values " + rowValues(table.getValues()))
|
||||
.collect(Collectors.joining(" ")));
|
||||
return sb.toString();
|
||||
}
|
||||
|
||||
public static String insertMultiTableMultiValues(List<TableValue> tables) {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("insert into ").append(tables.stream().filter(Objects::nonNull).map(table ->
|
||||
table.getDatabase() + "." + table.getName() + " values " + rowValues(table.getValues())
|
||||
).collect(Collectors.joining(" ")));
|
||||
sb.append("insert into ").append(tables.stream().filter(Objects::nonNull)
|
||||
.map(table -> table.getDatabase() + "." + table.getName() + " values " + rowValues(table.getValues()))
|
||||
.collect(Collectors.joining(" ")));
|
||||
return sb.toString();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
jdbc.driver=com.taosdata.jdbc.rs.RestfulDriver
|
||||
#jdbc.driver=com.taosdata.jdbc.TSDBDriver
|
||||
# jdbc.driver=com.taosdata.jdbc.rs.RestfulDriver
|
||||
jdbc.driver=com.taosdata.jdbc.TSDBDriver
|
||||
hikari.maximum-pool-size=20
|
||||
hikari.minimum-idle=20
|
||||
hikari.max-lifetime=0
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
package com.taosdata.taosdemo.service;
|
||||
|
||||
import com.taosdata.taosdemo.domain.TableMeta;
|
||||
import org.junit.Before;
|
||||
import org.junit.Test;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
public class TableServiceTest {
|
||||
private TableService tableService;
|
||||
|
||||
private List<TableMeta> tables;
|
||||
|
||||
@Before
|
||||
public void before() {
|
||||
tables = new ArrayList<>();
|
||||
for (int i = 0; i < 1; i++) {
|
||||
TableMeta tableMeta = new TableMeta();
|
||||
tableMeta.setDatabase("test");
|
||||
tableMeta.setName("weather" + (i + 1));
|
||||
tables.add(tableMeta);
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testCreate() {
|
||||
tableService.create(tables);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -142,6 +142,7 @@ typedef struct SqlFunctionCtx {
|
|||
struct SSDataBlock *pDstBlock; // used by indifinite rows function to set selectivity
|
||||
int32_t curBufPage;
|
||||
bool increase;
|
||||
bool isStream;
|
||||
|
||||
char udfName[TSDB_FUNC_NAME_LEN];
|
||||
} SqlFunctionCtx;
|
||||
|
|
|
|||
|
|
@ -276,6 +276,7 @@ typedef struct SSelectStmt {
|
|||
bool hasLastRowFunc;
|
||||
bool hasTimeLineFunc;
|
||||
bool hasUdaf;
|
||||
bool hasStateKey;
|
||||
bool onlyHasKeepOrderFunc;
|
||||
bool groupSort;
|
||||
} SSelectStmt;
|
||||
|
|
|
|||
|
|
@ -386,7 +386,7 @@ typedef enum ELogicConditionType {
|
|||
|
||||
#define TSDB_DEFAULT_EXPLAIN_VERBOSE false
|
||||
|
||||
#define TSDB_EXPLAIN_RESULT_ROW_SIZE 512
|
||||
#define TSDB_EXPLAIN_RESULT_ROW_SIZE (16*1024)
|
||||
#define TSDB_EXPLAIN_RESULT_COLUMN_NAME "QUERY_PLAN"
|
||||
|
||||
#define TSDB_MAX_FIELD_LEN 16384
|
||||
|
|
|
|||
|
|
@ -238,6 +238,9 @@ int32_t parseSql(SRequestObj* pRequest, bool topicQuery, SQuery** pQuery, SStmtC
|
|||
TSWAP(pRequest->targetTableList, (*pQuery)->pTargetTableList);
|
||||
}
|
||||
|
||||
taosArrayDestroy(cxt.pTableMetaPos);
|
||||
taosArrayDestroy(cxt.pTableVgroupPos);
|
||||
|
||||
return code;
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -674,6 +674,8 @@ static void destorySqlParseWrapper(SqlParseWrapper *pWrapper) {
|
|||
taosArrayDestroy(pWrapper->catalogReq.pIndex);
|
||||
taosArrayDestroy(pWrapper->catalogReq.pUser);
|
||||
taosArrayDestroy(pWrapper->catalogReq.pTableIndex);
|
||||
taosArrayDestroy(pWrapper->pCtx->pTableMetaPos);
|
||||
taosArrayDestroy(pWrapper->pCtx->pTableVgroupPos);
|
||||
taosMemoryFree(pWrapper->pCtx);
|
||||
taosMemoryFree(pWrapper);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -422,6 +422,8 @@ typedef struct {
|
|||
STsdb *pTsdb; // [input]
|
||||
SBlockIdx *pBlockIdxExp; // [input]
|
||||
STSchema *pTSchema; // [input]
|
||||
tb_uid_t suid;
|
||||
tb_uid_t uid;
|
||||
int32_t nFileSet;
|
||||
int32_t iFileSet;
|
||||
SArray *aDFileSet;
|
||||
|
|
@ -494,6 +496,8 @@ static int32_t getNextRowFromFSLast(void *iter, TSDBROW **ppRow) {
|
|||
|
||||
if (!state->pBlockDataL) {
|
||||
state->pBlockDataL = &state->blockDataL;
|
||||
|
||||
tBlockDataCreate(state->pBlockDataL);
|
||||
}
|
||||
code = tBlockDataInit(state->pBlockDataL, suid, suid ? 0 : uid, state->pTSchema);
|
||||
if (code) goto _err;
|
||||
|
|
@ -593,6 +597,9 @@ typedef struct SFSNextRowIter {
|
|||
SFSNEXTROWSTATES state; // [input]
|
||||
STsdb *pTsdb; // [input]
|
||||
SBlockIdx *pBlockIdxExp; // [input]
|
||||
STSchema *pTSchema; // [input]
|
||||
tb_uid_t suid;
|
||||
tb_uid_t uid;
|
||||
int32_t nFileSet;
|
||||
int32_t iFileSet;
|
||||
SArray *aDFileSet;
|
||||
|
|
@ -685,6 +692,10 @@ static int32_t getNextRowFromFS(void *iter, TSDBROW **ppRow) {
|
|||
|
||||
tMapDataGetItemByIdx(&state->blockMap, state->iBlock, &block, tGetBlock);
|
||||
/* code = tsdbReadBlockData(state->pDataFReader, &state->blockIdx, &block, &state->blockData, NULL, NULL); */
|
||||
tBlockDataReset(state->pBlockData);
|
||||
code = tBlockDataInit(state->pBlockData, state->suid, state->uid, state->pTSchema);
|
||||
if (code) goto _err;
|
||||
|
||||
code = tsdbReadDataBlock(state->pDataFReader, &block, state->pBlockData);
|
||||
if (code) goto _err;
|
||||
|
||||
|
|
@ -958,16 +969,21 @@ static int32_t nextRowIterOpen(CacheNextRowIter *pIter, tb_uid_t uid, STsdb *pTs
|
|||
|
||||
pIter->idx = (SBlockIdx){.suid = suid, .uid = uid};
|
||||
|
||||
pIter->fsLastState.state = (SFSLASTNEXTROWSTATES) SFSNEXTROW_FS;
|
||||
pIter->fsLastState.state = (SFSLASTNEXTROWSTATES)SFSNEXTROW_FS;
|
||||
pIter->fsLastState.pTsdb = pTsdb;
|
||||
pIter->fsLastState.aDFileSet = pIter->pReadSnap->fs.aDFileSet;
|
||||
pIter->fsLastState.pBlockIdxExp = &pIter->idx;
|
||||
pIter->fsLastState.pTSchema = pTSchema;
|
||||
pIter->fsLastState.suid = suid;
|
||||
pIter->fsLastState.uid = uid;
|
||||
|
||||
pIter->fsState.state = SFSNEXTROW_FS;
|
||||
pIter->fsState.pTsdb = pTsdb;
|
||||
pIter->fsState.aDFileSet = pIter->pReadSnap->fs.aDFileSet;
|
||||
pIter->fsState.pBlockIdxExp = &pIter->idx;
|
||||
pIter->fsState.pTSchema = pTSchema;
|
||||
pIter->fsState.suid = suid;
|
||||
pIter->fsState.uid = uid;
|
||||
|
||||
pIter->input[0] = (TsdbNextRowState){&pIter->memRow, true, false, &pIter->memState, getNextRowFromMem, NULL};
|
||||
pIter->input[1] = (TsdbNextRowState){&pIter->imemRow, true, false, &pIter->imemState, getNextRowFromMem, NULL};
|
||||
|
|
|
|||
|
|
@ -69,8 +69,10 @@ typedef struct SIOCostSummary {
|
|||
double buildmemBlock;
|
||||
int64_t headFileLoad;
|
||||
double headFileLoadTime;
|
||||
int64_t smaData;
|
||||
int64_t smaDataLoad;
|
||||
double smaLoadTime;
|
||||
int64_t lastBlockLoad;
|
||||
double lastBlockLoadTime;
|
||||
} SIOCostSummary;
|
||||
|
||||
typedef struct SBlockLoadSuppInfo {
|
||||
|
|
@ -98,10 +100,10 @@ typedef struct SLastBlockReader {
|
|||
} SLastBlockReader;
|
||||
|
||||
typedef struct SFilesetIter {
|
||||
int32_t numOfFiles; // number of total files
|
||||
int32_t index; // current accessed index in the list
|
||||
SArray* pFileList; // data file list
|
||||
int32_t order;
|
||||
int32_t numOfFiles; // number of total files
|
||||
int32_t index; // current accessed index in the list
|
||||
SArray* pFileList; // data file list
|
||||
int32_t order;
|
||||
SLastBlockReader* pLastBlockReader; // last file block reader
|
||||
} SFilesetIter;
|
||||
|
||||
|
|
@ -728,7 +730,7 @@ static int32_t doLoadFileBlock(STsdbReader* pReader, SArray* pIndexList, SArray*
|
|||
|
||||
double el = (taosGetTimestampUs() - st) / 1000.0;
|
||||
tsdbDebug("load block of %d tables completed, blocks:%d in %d tables, lastBlock:%d, size:%.2f Kb, elapsed time:%.2f ms %s",
|
||||
numOfTables, total, numOfQTable, pBlockNum->numOfLastBlocks, sizeInDisk
|
||||
numOfTables, pBlockNum->numOfBlocks, numOfQTable, pBlockNum->numOfLastBlocks, sizeInDisk
|
||||
/ 1000.0, el, pReader->idStr);
|
||||
|
||||
pReader->cost.numOfBlocks += total;
|
||||
|
|
@ -857,7 +859,7 @@ static int32_t copyBlockDataToSDataBlock(STsdbReader* pReader, STableBlockScanIn
|
|||
|
||||
static int32_t doLoadFileBlockData(STsdbReader* pReader, SDataBlockIter* pBlockIter, SBlockData* pBlockData) {
|
||||
int64_t st = taosGetTimestampUs();
|
||||
double elapsedTime = 0;
|
||||
double elapsedTime = 0;
|
||||
int32_t code = 0;
|
||||
|
||||
SFileDataBlockInfo* pBlockInfo = getCurrentBlockInfo(pBlockIter);
|
||||
|
|
@ -1303,9 +1305,23 @@ static bool fileBlockShouldLoad(STsdbReader* pReader, SFileDataBlockInfo* pFBloc
|
|||
overlapWithlastBlock = !(pBlock->maxKey.ts < pBlockL->minKey || pBlock->minKey.ts > pBlockL->maxKey);
|
||||
}
|
||||
|
||||
return (overlapWithNeighbor || hasDup || dataBlockPartiallyRequired(&pReader->window, &pReader->verRange, pBlock) ||
|
||||
keyOverlapFileBlock(key, pBlock, &pReader->verRange) || (pBlock->nRow > pReader->capacity) ||
|
||||
overlapWithDel || overlapWithlastBlock);
|
||||
bool moreThanOutputCapacity = pBlock->nRow > pReader->capacity;
|
||||
bool partiallyRequired = dataBlockPartiallyRequired(&pReader->window, &pReader->verRange, pBlock);
|
||||
bool overlapWithKey = keyOverlapFileBlock(key, pBlock, &pReader->verRange);
|
||||
|
||||
bool loadDataBlock = (overlapWithNeighbor || hasDup || partiallyRequired || overlapWithKey ||
|
||||
moreThanOutputCapacity || overlapWithDel || overlapWithlastBlock);
|
||||
|
||||
// log the reason why load the datablock for profile
|
||||
if (loadDataBlock) {
|
||||
tsdbDebug("%p uid:%" PRIu64
|
||||
" need to load the datablock, overlapwithneighborblock:%d, hasDup:%d, partiallyRequired:%d, "
|
||||
"overlapWithKey:%d, greaterThanBuf:%d, overlapWithDel:%d, overlapWithlastBlock:%d, %s",
|
||||
pReader, pFBlock->uid, overlapWithNeighbor, hasDup, partiallyRequired, overlapWithKey,
|
||||
moreThanOutputCapacity, overlapWithDel, overlapWithlastBlock, pReader->idStr);
|
||||
}
|
||||
|
||||
return loadDataBlock;
|
||||
}
|
||||
|
||||
static int32_t buildDataBlockFromBuf(STsdbReader* pReader, STableBlockScanInfo* pBlockScanInfo, int64_t endKey) {
|
||||
|
|
@ -1386,7 +1402,7 @@ static int32_t doMergeBufAndFileRows_Rv(STsdbReader* pReader, STableBlockScanInf
|
|||
SFileBlockDumpInfo* pDumpInfo = &pReader->status.fBlockDumpInfo;
|
||||
|
||||
int64_t tsLast = INT64_MIN;
|
||||
if (pLastBlockReader->lastBlockData.nRow > 0) {
|
||||
if ((pLastBlockReader->lastBlockData.nRow > 0) && hasDataInLastBlock(pLastBlockReader)) {
|
||||
tsLast = getCurrentKeyInLastBlock(pLastBlockReader);
|
||||
}
|
||||
|
||||
|
|
@ -1579,7 +1595,10 @@ static int32_t doMergeMultiLevelRowsRv(STsdbReader* pReader, STableBlockScanInfo
|
|||
ASSERT(pRow != NULL && piRow != NULL);
|
||||
|
||||
SBlockData* pLastBlockData = &pLastBlockReader->lastBlockData;
|
||||
int64_t tsLast = getCurrentKeyInLastBlock(pLastBlockReader);
|
||||
int64_t tsLast = INT64_MIN;
|
||||
if (hasDataInLastBlock(pLastBlockReader)) {
|
||||
tsLast = getCurrentKeyInLastBlock(pLastBlockReader);
|
||||
}
|
||||
|
||||
int64_t key = pBlockData->aTSKEY[pDumpInfo->rowIndex];
|
||||
|
||||
|
|
@ -1601,7 +1620,7 @@ static int32_t doMergeMultiLevelRowsRv(STsdbReader* pReader, STableBlockScanInfo
|
|||
minKey = key;
|
||||
}
|
||||
|
||||
if (minKey > tsLast && pLastBlockData->nRow > 0) {
|
||||
if (minKey > tsLast && hasDataInLastBlock(pLastBlockReader)) {
|
||||
minKey = tsLast;
|
||||
}
|
||||
} else {
|
||||
|
|
@ -1618,7 +1637,7 @@ static int32_t doMergeMultiLevelRowsRv(STsdbReader* pReader, STableBlockScanInfo
|
|||
minKey = key;
|
||||
}
|
||||
|
||||
if (minKey < tsLast && pLastBlockData->nRow > 0) {
|
||||
if (minKey < tsLast && hasDataInLastBlock(pLastBlockReader)) {
|
||||
minKey = tsLast;
|
||||
}
|
||||
}
|
||||
|
|
@ -1991,8 +2010,8 @@ static int32_t buildComposedDataBlockImpl(STsdbReader* pReader, STableBlockScanI
|
|||
if (pBlockData->nRow > 0) {
|
||||
TSDBROW fRow = tsdbRowFromBlockData(pBlockData, pDumpInfo->rowIndex);
|
||||
|
||||
// no last block
|
||||
if (pLastBlockReader->lastBlockData.nRow == 0) {
|
||||
// no last block available, only data block exists
|
||||
if (pLastBlockReader->lastBlockData.nRow == 0 || (!hasDataInLastBlock(pLastBlockReader))) {
|
||||
if (tryCopyDistinctRowFromFileBlock(pReader, pBlockData, key, pDumpInfo)) {
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else {
|
||||
|
|
@ -2012,54 +2031,63 @@ static int32_t buildComposedDataBlockImpl(STsdbReader* pReader, STableBlockScanI
|
|||
|
||||
// row in last file block
|
||||
int64_t ts = getCurrentKeyInLastBlock(pLastBlockReader);
|
||||
if (ts < key) { // save rows in last block
|
||||
SBlockData* pLastBlockData = &pLastBlockReader->lastBlockData;
|
||||
ASSERT(ts >= key);
|
||||
|
||||
STSRow* pTSRow = NULL;
|
||||
SRowMerger merge = {0};
|
||||
if (ASCENDING_TRAVERSE(pReader->order)) {
|
||||
if (key < ts) {
|
||||
// imem & mem are all empty, only file exist
|
||||
if (tryCopyDistinctRowFromFileBlock(pReader, pBlockData, key, pDumpInfo)) {
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else {
|
||||
STSRow* pTSRow = NULL;
|
||||
SRowMerger merge = {0};
|
||||
|
||||
TSDBROW fRow1 = tsdbRowFromBlockData(pLastBlockData, *pLastBlockReader->rowIndex);
|
||||
tRowMergerInit(&merge, &fRow, pReader->pSchema);
|
||||
doMergeRowsInFileBlocks(pBlockData, pBlockScanInfo, pReader, &merge);
|
||||
tRowMergerGetRow(&merge, &pTSRow);
|
||||
doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, pBlockScanInfo->uid);
|
||||
|
||||
tRowMergerInit(&merge, &fRow1, pReader->pSchema);
|
||||
doMergeRowsInLastBlock(pLastBlockReader, pBlockScanInfo, ts, &merge);
|
||||
tRowMergerGetRow(&merge, &pTSRow);
|
||||
|
||||
doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, pBlockScanInfo->uid);
|
||||
|
||||
taosMemoryFree(pTSRow);
|
||||
tRowMergerClear(&merge);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else if (ts == key) {
|
||||
STSRow* pTSRow = NULL;
|
||||
SRowMerger merge = {0};
|
||||
|
||||
tRowMergerInit(&merge, &fRow, pReader->pSchema);
|
||||
doMergeRowsInFileBlocks(pBlockData, pBlockScanInfo, pReader, &merge);
|
||||
doMergeRowsInLastBlock(pLastBlockReader, pBlockScanInfo, ts, &merge);
|
||||
|
||||
tRowMergerGetRow(&merge, &pTSRow);
|
||||
doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, pBlockScanInfo->uid);
|
||||
|
||||
taosMemoryFree(pTSRow);
|
||||
tRowMergerClear(&merge);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else { // ts > key, asc; todo handle desc
|
||||
// imem & mem are all empty, only file exist
|
||||
if (tryCopyDistinctRowFromFileBlock(pReader, pBlockData, key, pDumpInfo)) {
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else {
|
||||
taosMemoryFree(pTSRow);
|
||||
tRowMergerClear(&merge);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
} else if (key == ts) {
|
||||
STSRow* pTSRow = NULL;
|
||||
SRowMerger merge = {0};
|
||||
|
||||
tRowMergerInit(&merge, &fRow, pReader->pSchema);
|
||||
doMergeRowsInFileBlocks(pBlockData, pBlockScanInfo, pReader, &merge);
|
||||
doMergeRowsInLastBlock(pLastBlockReader, pBlockScanInfo, ts, &merge);
|
||||
|
||||
tRowMergerGetRow(&merge, &pTSRow);
|
||||
doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, pBlockScanInfo->uid);
|
||||
|
||||
taosMemoryFree(pTSRow);
|
||||
tRowMergerClear(&merge);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
} else {
|
||||
ASSERT(0);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
} else { // desc order
|
||||
SBlockData* pLastBlockData = &pLastBlockReader->lastBlockData;
|
||||
TSDBROW fRow1 = tsdbRowFromBlockData(pLastBlockData, *pLastBlockReader->rowIndex);
|
||||
|
||||
STSRow* pTSRow = NULL;
|
||||
SRowMerger merge = {0};
|
||||
tRowMergerInit(&merge, &fRow1, pReader->pSchema);
|
||||
doMergeRowsInLastBlock(pLastBlockReader, pBlockScanInfo, ts, &merge);
|
||||
|
||||
if (ts == key) {
|
||||
doMergeRowsInFileBlocks(pBlockData, pBlockScanInfo, pReader, &merge);
|
||||
}
|
||||
|
||||
tRowMergerGetRow(&merge, &pTSRow);
|
||||
doAppendRowFromTSRow(pReader->pResBlock, pReader, pTSRow, pBlockScanInfo->uid);
|
||||
|
||||
taosMemoryFree(pTSRow);
|
||||
tRowMergerClear(&merge);
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
} else { // only last block exists
|
||||
SBlockData* pLastBlockData = &pLastBlockReader->lastBlockData;
|
||||
|
|
@ -2383,7 +2411,6 @@ static int32_t moveToNextFile(STsdbReader* pReader, SBlockNumber* pBlockNum) {
|
|||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
|
||||
// todo add elapsed time results
|
||||
static int32_t doLoadRelatedLastBlock(SLastBlockReader* pLastBlockReader, STableBlockScanInfo *pBlockScanInfo, STsdbReader* pReader) {
|
||||
SArray* pBlocks = pLastBlockReader->pBlockL;
|
||||
SBlockL* pBlock = NULL;
|
||||
|
|
@ -2415,6 +2442,7 @@ static int32_t doLoadRelatedLastBlock(SLastBlockReader* pLastBlockReader, STable
|
|||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
|
||||
int64_t st = taosGetTimestampUs();
|
||||
int32_t code = tBlockDataInit(&pLastBlockReader->lastBlockData, pReader->suid, pReader->suid ? 0 : uid, pReader->pSchema);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
tsdbError("%p init block data failed, code:%s %s", pReader, tstrerror(code), pReader->idStr);
|
||||
|
|
@ -2422,17 +2450,23 @@ static int32_t doLoadRelatedLastBlock(SLastBlockReader* pLastBlockReader, STable
|
|||
}
|
||||
|
||||
code = tsdbReadLastBlock(pReader->pFileReader, pBlock, &pLastBlockReader->lastBlockData);
|
||||
|
||||
double el = (taosGetTimestampUs() - st) / 1000.0;
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
tsdbError("%p error occurs in loading last block into buffer, last block index:%d, total:%d code:%s %s", pReader,
|
||||
pLastBlockReader->currentBlockIndex, totalLastBlocks, tstrerror(code), pReader->idStr);
|
||||
} else {
|
||||
tsdbDebug("%p load last block completed, uid:%" PRIu64
|
||||
" last block index:%d, total:%d rows:%d, minVer:%d, maxVer:%d, brange:%" PRId64 " - %" PRId64 " %s",
|
||||
pReader, uid, pLastBlockReader->currentBlockIndex, totalLastBlocks, pBlock->nRow, pBlock->minVer,
|
||||
pBlock->maxVer, pBlock->minKey, pBlock->maxKey, pReader->idStr);
|
||||
" last block index:%d, total:%d rows:%d, minVer:%d, maxVer:%d, brange:%" PRId64 "-%" PRId64
|
||||
" elapsed time:%.2f ms, %s",
|
||||
pReader, uid, index, totalLastBlocks, pBlock->nRow, pBlock->minVer, pBlock->maxVer, pBlock->minKey,
|
||||
pBlock->maxKey, el, pReader->idStr);
|
||||
}
|
||||
|
||||
pLastBlockReader->currentBlockIndex = index;
|
||||
pReader->cost.lastBlockLoad += 1;
|
||||
pReader->cost.lastBlockLoadTime += el;
|
||||
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
|
||||
|
|
@ -2495,13 +2529,12 @@ static int32_t doLoadLastBlockSequentially(STsdbReader* pReader) {
|
|||
}
|
||||
|
||||
static int32_t doBuildDataBlock(STsdbReader* pReader) {
|
||||
int32_t code = TSDB_CODE_SUCCESS;
|
||||
|
||||
SReaderStatus* pStatus = &pReader->status;
|
||||
SDataBlockIter* pBlockIter = &pStatus->blockIter;
|
||||
|
||||
TSDBKEY key = {0};
|
||||
int32_t code = TSDB_CODE_SUCCESS;
|
||||
SBlock* pBlock = NULL;
|
||||
|
||||
SReaderStatus* pStatus = &pReader->status;
|
||||
SDataBlockIter* pBlockIter = &pStatus->blockIter;
|
||||
STableBlockScanInfo* pScanInfo = NULL;
|
||||
SFileDataBlockInfo* pBlockInfo = getCurrentBlockInfo(pBlockIter);
|
||||
SLastBlockReader* pLastBlockReader = pReader->status.fileIter.pLastBlockReader;
|
||||
|
|
@ -2554,13 +2587,22 @@ static int32_t doBuildDataBlock(STsdbReader* pReader) {
|
|||
// todo rows in buffer should be less than the file block in asc, greater than file block in desc
|
||||
int64_t endKey = (ASCENDING_TRAVERSE(pReader->order)) ? pBlock->minKey.ts : pBlock->maxKey.ts;
|
||||
code = buildDataBlockFromBuf(pReader, pScanInfo, endKey);
|
||||
} else { // whole block is required, return it directly
|
||||
SDataBlockInfo* pInfo = &pReader->pResBlock->info;
|
||||
pInfo->rows = pBlock->nRow;
|
||||
pInfo->uid = pScanInfo->uid;
|
||||
pInfo->window = (STimeWindow){.skey = pBlock->minKey.ts, .ekey = pBlock->maxKey.ts};
|
||||
setComposedBlockFlag(pReader, false);
|
||||
setBlockAllDumped(&pStatus->fBlockDumpInfo, pBlock->maxKey.ts, pReader->order);
|
||||
} else {
|
||||
if (hasDataInLastBlock(pLastBlockReader) && !ASCENDING_TRAVERSE(pReader->order)) {
|
||||
// only return the rows in last block
|
||||
int64_t tsLast = getCurrentKeyInLastBlock(pLastBlockReader);
|
||||
ASSERT (tsLast >= pBlock->maxKey.ts);
|
||||
tBlockDataReset(&pReader->status.fileBlockData);
|
||||
|
||||
code = buildComposedDataBlock(pReader);
|
||||
} else { // whole block is required, return it directly
|
||||
SDataBlockInfo* pInfo = &pReader->pResBlock->info;
|
||||
pInfo->rows = pBlock->nRow;
|
||||
pInfo->uid = pScanInfo->uid;
|
||||
pInfo->window = (STimeWindow){.skey = pBlock->minKey.ts, .ekey = pBlock->maxKey.ts};
|
||||
setComposedBlockFlag(pReader, false);
|
||||
setBlockAllDumped(&pStatus->fBlockDumpInfo, pBlock->maxKey.ts, pReader->order);
|
||||
}
|
||||
}
|
||||
|
||||
return code;
|
||||
|
|
@ -2628,7 +2670,7 @@ static int32_t initForFirstBlockInFile(STsdbReader* pReader, SDataBlockIter* pBl
|
|||
// initialize the block iterator for a new fileset
|
||||
if (num.numOfBlocks > 0) {
|
||||
code = initBlockIterator(pReader, pBlockIter, num.numOfBlocks);
|
||||
} else {
|
||||
} else { // no block data, only last block exists
|
||||
tBlockDataReset(&pReader->status.fileBlockData);
|
||||
resetDataBlockIterator(pBlockIter, pReader->order, pReader->status.pTableMap);
|
||||
}
|
||||
|
|
@ -2701,7 +2743,6 @@ static int32_t buildBlockFromFiles(STsdbReader* pReader) {
|
|||
if (hasNext) { // check for the next block in the block accessed order list
|
||||
initBlockDumpInfo(pReader, pBlockIter);
|
||||
} else if (taosArrayGetSize(pReader->status.fileIter.pLastBlockReader->pBlockL) > 0) { // data blocks in current file are exhausted, let's try the next file now
|
||||
// todo dump all data in last block if exists.
|
||||
tBlockDataReset(&pReader->status.fileBlockData);
|
||||
resetDataBlockIterator(pBlockIter, pReader->order, pReader->status.pTableMap);
|
||||
goto _begin;
|
||||
|
|
@ -3005,7 +3046,12 @@ static int32_t checkForNeighborFileBlock(STsdbReader* pReader, STableBlockScanIn
|
|||
|
||||
// 3. load the neighbor block, and set it to be the currently accessed file data block
|
||||
tBlockDataReset(&pStatus->fileBlockData);
|
||||
int32_t code = doLoadFileBlockData(pReader, pBlockIter, &pStatus->fileBlockData);
|
||||
int32_t code = tBlockDataInit(&pStatus->fileBlockData, pReader->suid, pFBlock->uid, pReader->pSchema);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
return code;
|
||||
}
|
||||
|
||||
code = doLoadFileBlockData(pReader, pBlockIter, &pStatus->fileBlockData);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
return code;
|
||||
}
|
||||
|
|
@ -3498,10 +3544,11 @@ void tsdbReaderClose(STsdbReader* pReader) {
|
|||
tsdbDebug("%p :io-cost summary: head-file:%" PRIu64 ", head-file time:%.2f ms, SMA:%" PRId64
|
||||
" SMA-time:%.2f ms, fileBlocks:%" PRId64
|
||||
", fileBlocks-time:%.2f ms, "
|
||||
"build in-memory-block-time:%.2f ms, STableBlockScanInfo size:%.2f Kb %s",
|
||||
pReader, pCost->headFileLoad, pCost->headFileLoadTime, pCost->smaData, pCost->smaLoadTime,
|
||||
pCost->numOfBlocks, pCost->blockLoadTime, pCost->buildmemBlock,
|
||||
numOfTables * sizeof(STableBlockScanInfo) / 1000.0, pReader->idStr);
|
||||
"build in-memory-block-time:%.2f ms, lastBlocks:%" PRId64
|
||||
", lastBlocks-time:%.2f ms, STableBlockScanInfo size:%.2f Kb %s",
|
||||
pReader, pCost->headFileLoad, pCost->headFileLoadTime, pCost->smaDataLoad, pCost->smaLoadTime,
|
||||
pCost->numOfBlocks, pCost->blockLoadTime, pCost->buildmemBlock, pCost->lastBlockLoad,
|
||||
pCost->lastBlockLoadTime, numOfTables * sizeof(STableBlockScanInfo) / 1000.0, pReader->idStr);
|
||||
|
||||
taosMemoryFree(pReader->idStr);
|
||||
taosMemoryFree(pReader->pSchema);
|
||||
|
|
@ -3663,7 +3710,7 @@ int32_t tsdbRetrieveDatablockSMA(STsdbReader* pReader, SColumnDataAgg*** pBlockS
|
|||
|
||||
double elapsed = (taosGetTimestampUs() - stime) / 1000.0;
|
||||
pReader->cost.smaLoadTime += elapsed;
|
||||
pReader->cost.smaData += 1;
|
||||
pReader->cost.smaDataLoad += 1;
|
||||
|
||||
*pBlockStatis = pSup->plist;
|
||||
|
||||
|
|
|
|||
|
|
@ -893,7 +893,7 @@ int32_t catalogChkTbMetaVersion(SCatalog* pCtg, SRequestConnInfo *pConn, SArray*
|
|||
CTG_API_LEAVE(TSDB_CODE_CTG_INVALID_INPUT);
|
||||
}
|
||||
|
||||
SName name;
|
||||
SName name = {0};
|
||||
int32_t sver = 0;
|
||||
int32_t tver = 0;
|
||||
int32_t tbNum = taosArrayGetSize(pTables);
|
||||
|
|
|
|||
|
|
@ -100,7 +100,6 @@ extern "C" {
|
|||
typedef struct SExplainGroup {
|
||||
int32_t nodeNum;
|
||||
int32_t physiPlanExecNum;
|
||||
int32_t physiPlanNum;
|
||||
int32_t physiPlanExecIdx;
|
||||
SRWLatch lock;
|
||||
SSubplan *plan;
|
||||
|
|
|
|||
|
|
@ -296,8 +296,6 @@ int32_t qExplainGenerateResNode(SPhysiNode *pNode, SExplainGroup *group, SExplai
|
|||
|
||||
QRY_ERR_JRET(qExplainGenerateResChildren(pNode, group, &resNode->pChildren));
|
||||
|
||||
++group->physiPlanNum;
|
||||
|
||||
*pResNode = resNode;
|
||||
|
||||
return TSDB_CODE_SUCCESS;
|
||||
|
|
@ -1548,12 +1546,6 @@ int32_t qExplainAppendGroupResRows(void *pCtx, int32_t groupId, int32_t level) {
|
|||
|
||||
QRY_ERR_RET(qExplainGenerateResNode(group->plan->pNode, group, &node));
|
||||
|
||||
if ((EXPLAIN_MODE_ANALYZE == ctx->mode) && (group->physiPlanNum != group->physiPlanExecNum)) {
|
||||
qError("physiPlanNum %d mismatch with physiExecNum %d in group %d", group->physiPlanNum, group->physiPlanExecNum,
|
||||
groupId);
|
||||
QRY_ERR_JRET(TSDB_CODE_QRY_APP_ERROR);
|
||||
}
|
||||
|
||||
QRY_ERR_JRET(qExplainResNodeToRows(node, ctx, level));
|
||||
|
||||
_return:
|
||||
|
|
|
|||
|
|
@ -115,6 +115,7 @@ SSDataBlock* createResDataBlock(SDataBlockDescNode* pNode);
|
|||
EDealRes doTranslateTagExpr(SNode** pNode, void* pContext);
|
||||
int32_t getTableList(void* metaHandle, void* pVnode, SScanPhysiNode* pScanNode, SNode* pTagCond, SNode* pTagIndexCond, STableListInfo* pListInfo);
|
||||
int32_t getGroupIdFromTagsVal(void* pMeta, uint64_t uid, SNodeList* pGroupNode, char* keyBuf, uint64_t* pGroupId);
|
||||
int32_t getColInfoResultForGroupby(void* metaHandle, SNodeList* group, STableListInfo* pTableListInfo);
|
||||
size_t getTableTagsBufLen(const SNodeList* pGroups);
|
||||
|
||||
SArray* createSortInfo(SNodeList* pNodeList);
|
||||
|
|
|
|||
|
|
@ -860,8 +860,8 @@ int32_t handleLimitOffset(SOperatorInfo *pOperator, SLimitInfo* pLimitInfo, SSDa
|
|||
bool hasLimitOffsetInfo(SLimitInfo* pLimitInfo);
|
||||
void initLimitInfo(const SNode* pLimit, const SNode* pSLimit, SLimitInfo* pLimitInfo);
|
||||
|
||||
void doApplyFunctions(SExecTaskInfo* taskInfo, SqlFunctionCtx* pCtx, STimeWindow* pWin, SColumnInfoData* pTimeWindowData, int32_t offset,
|
||||
int32_t forwardStep, TSKEY* tsCol, int32_t numOfTotal, int32_t numOfOutput, int32_t order);
|
||||
void doApplyFunctions(SExecTaskInfo* taskInfo, SqlFunctionCtx* pCtx, SColumnInfoData* pTimeWindowData, int32_t offset,
|
||||
int32_t forwardStep, int32_t numOfTotal, int32_t numOfOutput);
|
||||
|
||||
int32_t extractDataBlockFromFetchRsp(SSDataBlock* pRes, char* pData, int32_t numOfOutput, SArray* pColList, char** pNextStart);
|
||||
void updateLoadRemoteInfo(SLoadRemoteDataInfo *pInfo, int32_t numOfRows, int32_t dataLen, int64_t startTs,
|
||||
|
|
|
|||
|
|
@ -408,6 +408,7 @@ static SColumnInfoData* getColInfoResult(void* metaHandle, uint64_t suid, SArray
|
|||
tags = taosHashInit(32, taosGetDefaultHashFunction(TSDB_DATA_TYPE_BIGINT), false, HASH_NO_LOCK);
|
||||
code = metaGetTableTags(metaHandle, suid, uidList, tags);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
qError("failed to get table tags from meta, reason:%s, suid:%" PRIu64, tstrerror(code), suid);
|
||||
terrno = code;
|
||||
goto end;
|
||||
}
|
||||
|
|
@ -428,10 +429,6 @@ static SColumnInfoData* getColInfoResult(void* metaHandle, uint64_t suid, SArray
|
|||
// int64_t st = taosGetTimestampUs();
|
||||
for (int32_t i = 0; i < rows; i++) {
|
||||
int64_t* uid = taosArrayGet(uidList, i);
|
||||
void* tag = taosHashGet(tags, uid, sizeof(int64_t));
|
||||
if (suid != 0) {
|
||||
ASSERT(tag);
|
||||
}
|
||||
for(int32_t j = 0; j < taosArrayGetSize(pResBlock->pDataBlock); j++){
|
||||
SColumnInfoData* pColInfo = (SColumnInfoData*)taosArrayGet(pResBlock->pDataBlock, j);
|
||||
|
||||
|
|
@ -443,6 +440,8 @@ static SColumnInfoData* getColInfoResult(void* metaHandle, uint64_t suid, SArray
|
|||
qDebug("tagfilter uid:%ld, tbname:%s", *uid, str+2);
|
||||
#endif
|
||||
}else{
|
||||
void* tag = taosHashGet(tags, uid, sizeof(int64_t));
|
||||
ASSERT(tag);
|
||||
STagVal tagVal = {0};
|
||||
tagVal.cid = pColInfo->info.colId;
|
||||
const char* p = metaGetTableTagVal(tag, pColInfo->info.type, &tagVal);
|
||||
|
|
@ -484,11 +483,13 @@ static SColumnInfoData* getColInfoResult(void* metaHandle, uint64_t suid, SArray
|
|||
SDataType type = {.type = TSDB_DATA_TYPE_BOOL, .bytes = sizeof(bool)};
|
||||
code = createResultData(&type, rows, &output);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
qError("failed to create result, reason:%s", tstrerror(code));
|
||||
goto end;
|
||||
}
|
||||
|
||||
code = scalarCalculate(pTagCond, pBlockList, &output);
|
||||
if(code != TSDB_CODE_SUCCESS){
|
||||
qError("failed to calculate scalar, reason:%s", tstrerror(code));
|
||||
terrno = code;
|
||||
}
|
||||
// int64_t st2 = taosGetTimestampUs();
|
||||
|
|
@ -503,6 +504,241 @@ end:
|
|||
return output.columnData;
|
||||
}
|
||||
|
||||
static void releaseColInfoData(void* pCol) {
|
||||
if(pCol){
|
||||
SColumnInfoData* col = (SColumnInfoData*) pCol;
|
||||
colDataDestroy(col);
|
||||
taosMemoryFree(col);
|
||||
}
|
||||
}
|
||||
|
||||
int32_t getColInfoResultForGroupby(void* metaHandle, SNodeList* group, STableListInfo* pTableListInfo){
|
||||
int32_t code = TSDB_CODE_SUCCESS;
|
||||
SArray *pBlockList = NULL;
|
||||
SSDataBlock *pResBlock = NULL;
|
||||
SHashObj *tags = NULL;
|
||||
SArray *uidList = NULL;
|
||||
void *keyBuf = NULL;
|
||||
SArray *groupData = NULL;
|
||||
|
||||
int32_t rows = taosArrayGetSize(pTableListInfo->pTableList);
|
||||
if(rows == 0){
|
||||
return TDB_CODE_SUCCESS;
|
||||
}
|
||||
|
||||
tagFilterAssist ctx = {0};
|
||||
ctx.colHash = taosHashInit(4, taosGetDefaultHashFunction(TSDB_DATA_TYPE_SMALLINT), false, HASH_NO_LOCK);
|
||||
if(ctx.colHash == NULL){
|
||||
code = TSDB_CODE_OUT_OF_MEMORY;
|
||||
goto end;
|
||||
}
|
||||
ctx.index = 0;
|
||||
ctx.cInfoList = taosArrayInit(4, sizeof(SColumnInfo));
|
||||
if(ctx.cInfoList == NULL){
|
||||
code = TSDB_CODE_OUT_OF_MEMORY;
|
||||
goto end;
|
||||
}
|
||||
|
||||
SNode* pNode = NULL;
|
||||
FOREACH(pNode, group) {
|
||||
nodesRewriteExprPostOrder(&pNode, getColumn, (void *)&ctx);
|
||||
REPLACE_NODE(pNode);
|
||||
}
|
||||
|
||||
pResBlock = createDataBlock();
|
||||
if (pResBlock == NULL) {
|
||||
code = TSDB_CODE_OUT_OF_MEMORY;
|
||||
goto end;
|
||||
}
|
||||
|
||||
for (int32_t i = 0; i < taosArrayGetSize(ctx.cInfoList); ++i) {
|
||||
SColumnInfoData colInfo = {{0}, 0};
|
||||
colInfo.info = *(SColumnInfo*)taosArrayGet(ctx.cInfoList, i);
|
||||
blockDataAppendColInfo(pResBlock, &colInfo);
|
||||
}
|
||||
|
||||
uidList = taosArrayInit(rows, sizeof(uint64_t));
|
||||
for (int32_t i = 0; i < rows; ++i) {
|
||||
STableKeyInfo* pkeyInfo = taosArrayGet(pTableListInfo->pTableList, i);
|
||||
taosArrayPush(uidList, &pkeyInfo->uid);
|
||||
}
|
||||
|
||||
// int64_t stt = taosGetTimestampUs();
|
||||
tags = taosHashInit(32, taosGetDefaultHashFunction(TSDB_DATA_TYPE_BIGINT), false, HASH_NO_LOCK);
|
||||
code = metaGetTableTags(metaHandle, pTableListInfo->suid, uidList, tags);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
goto end;
|
||||
}
|
||||
|
||||
// int64_t stt1 = taosGetTimestampUs();
|
||||
// qDebug("generate tag meta rows:%d, cost:%ld us", rows, stt1-stt);
|
||||
|
||||
code = blockDataEnsureCapacity(pResBlock, rows);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
goto end;
|
||||
}
|
||||
|
||||
// int64_t st = taosGetTimestampUs();
|
||||
for (int32_t i = 0; i < rows; i++) {
|
||||
int64_t* uid = taosArrayGet(uidList, i);
|
||||
for(int32_t j = 0; j < taosArrayGetSize(pResBlock->pDataBlock); j++){
|
||||
SColumnInfoData* pColInfo = (SColumnInfoData*)taosArrayGet(pResBlock->pDataBlock, j);
|
||||
|
||||
if(pColInfo->info.colId == -1){ // tbname
|
||||
char str[TSDB_TABLE_FNAME_LEN + VARSTR_HEADER_SIZE] = {0};
|
||||
metaGetTableNameByUid(metaHandle, *uid, str);
|
||||
colDataAppend(pColInfo, i, str, false);
|
||||
#if TAG_FILTER_DEBUG
|
||||
qDebug("tagfilter uid:%ld, tbname:%s", *uid, str+2);
|
||||
#endif
|
||||
}else{
|
||||
void* tag = taosHashGet(tags, uid, sizeof(int64_t));
|
||||
ASSERT(tag);
|
||||
STagVal tagVal = {0};
|
||||
tagVal.cid = pColInfo->info.colId;
|
||||
const char* p = metaGetTableTagVal(tag, pColInfo->info.type, &tagVal);
|
||||
|
||||
if (p == NULL || (pColInfo->info.type == TSDB_DATA_TYPE_JSON && ((STag*)p)->nTag == 0)){
|
||||
colDataAppend(pColInfo, i, p, true);
|
||||
} else if (pColInfo->info.type == TSDB_DATA_TYPE_JSON) {
|
||||
colDataAppend(pColInfo, i, p, false);
|
||||
} else if (IS_VAR_DATA_TYPE(pColInfo->info.type)) {
|
||||
char *tmp = taosMemoryCalloc(tagVal.nData + VARSTR_HEADER_SIZE + 1, 1);
|
||||
varDataSetLen(tmp, tagVal.nData);
|
||||
memcpy(tmp + VARSTR_HEADER_SIZE, tagVal.pData, tagVal.nData);
|
||||
colDataAppend(pColInfo, i, tmp, false);
|
||||
#if TAG_FILTER_DEBUG
|
||||
qDebug("tagfilter varch:%s", tmp+2);
|
||||
#endif
|
||||
taosMemoryFree(tmp);
|
||||
} else {
|
||||
colDataAppend(pColInfo, i, (const char*)&tagVal.i64, false);
|
||||
#if TAG_FILTER_DEBUG
|
||||
if(pColInfo->info.type == TSDB_DATA_TYPE_INT){
|
||||
qDebug("tagfilter int:%d", *(int*)(&tagVal.i64));
|
||||
}else if(pColInfo->info.type == TSDB_DATA_TYPE_DOUBLE){
|
||||
qDebug("tagfilter double:%f", *(double *)(&tagVal.i64));
|
||||
}
|
||||
#endif
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
pResBlock->info.rows = rows;
|
||||
|
||||
// int64_t st1 = taosGetTimestampUs();
|
||||
// qDebug("generate tag block rows:%d, cost:%ld us", rows, st1-st);
|
||||
|
||||
pBlockList = taosArrayInit(2, POINTER_BYTES);
|
||||
taosArrayPush(pBlockList, &pResBlock);
|
||||
|
||||
groupData = taosArrayInit(2, POINTER_BYTES);
|
||||
FOREACH(pNode, group) {
|
||||
SScalarParam output = {0};
|
||||
|
||||
switch (nodeType(pNode)) {
|
||||
case QUERY_NODE_VALUE:
|
||||
break;
|
||||
case QUERY_NODE_COLUMN:
|
||||
case QUERY_NODE_OPERATOR:
|
||||
case QUERY_NODE_FUNCTION:{
|
||||
SExprNode* expNode = (SExprNode*)pNode;
|
||||
code = createResultData(&expNode->resType, rows, &output);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
goto end;
|
||||
}
|
||||
break;
|
||||
}
|
||||
default:
|
||||
code = TSDB_CODE_OPS_NOT_SUPPORT;
|
||||
goto end;
|
||||
}
|
||||
if(nodeType(pNode) == QUERY_NODE_COLUMN){
|
||||
SColumnNode* pSColumnNode = (SColumnNode*)pNode;
|
||||
SColumnInfoData* pColInfo = (SColumnInfoData*)taosArrayGet(pResBlock->pDataBlock, pSColumnNode->slotId);
|
||||
code = colDataAssign(output.columnData, pColInfo, rows, NULL);
|
||||
}else if(nodeType(pNode) == QUERY_NODE_VALUE){
|
||||
continue;
|
||||
}else{
|
||||
code = scalarCalculate(pNode, pBlockList, &output);
|
||||
}
|
||||
if(code != TSDB_CODE_SUCCESS){
|
||||
releaseColInfoData(output.columnData);
|
||||
goto end;
|
||||
}
|
||||
taosArrayPush(groupData, &output.columnData);
|
||||
}
|
||||
|
||||
int32_t keyLen = 0;
|
||||
SNode* node;
|
||||
FOREACH(node, group) {
|
||||
SExprNode* pExpr = (SExprNode*)node;
|
||||
keyLen += pExpr->resType.bytes;
|
||||
}
|
||||
|
||||
int32_t nullFlagSize = sizeof(int8_t) * LIST_LENGTH(group);
|
||||
keyLen += nullFlagSize;
|
||||
|
||||
keyBuf = taosMemoryCalloc(1, keyLen);
|
||||
if (keyBuf == NULL) {
|
||||
code = TSDB_CODE_OUT_OF_MEMORY;
|
||||
goto end;
|
||||
}
|
||||
for(int i = 0; i < rows; i++){
|
||||
STableKeyInfo* info = taosArrayGet(pTableListInfo->pTableList, i);
|
||||
|
||||
char* isNull = (char*)keyBuf;
|
||||
char* pStart = (char*)keyBuf + sizeof(int8_t) * LIST_LENGTH(group);
|
||||
for(int j = 0; j < taosArrayGetSize(groupData); j++){
|
||||
SColumnInfoData* pValue = (SColumnInfoData*)taosArrayGetP(groupData, j);
|
||||
|
||||
if (colDataIsNull_s(pValue, i)) {
|
||||
isNull[j] = 1;
|
||||
} else {
|
||||
isNull[j] = 0;
|
||||
char* data = colDataGetData(pValue, i);
|
||||
if (pValue->info.type == TSDB_DATA_TYPE_JSON) {
|
||||
if (tTagIsJson(data)) {
|
||||
code = TSDB_CODE_QRY_JSON_IN_GROUP_ERROR;
|
||||
goto end;
|
||||
}
|
||||
if(tTagIsJsonNull(data)){
|
||||
isNull[j] = 1;
|
||||
continue;
|
||||
}
|
||||
int32_t len = getJsonValueLen(data);
|
||||
memcpy(pStart, data, len);
|
||||
pStart += len;
|
||||
} else if (IS_VAR_DATA_TYPE(pValue->info.type)) {
|
||||
memcpy(pStart, data, varDataTLen(data));
|
||||
pStart += varDataTLen(data);
|
||||
} else {
|
||||
memcpy(pStart, data, pValue->info.bytes);
|
||||
pStart += pValue->info.bytes;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
int32_t len = (int32_t)(pStart - (char*)keyBuf);
|
||||
info->groupId = calcGroupId(keyBuf, len);
|
||||
taosHashPut(pTableListInfo->map, &(info->uid), sizeof(uint64_t), &info->groupId, sizeof(uint64_t));
|
||||
}
|
||||
|
||||
// int64_t st2 = taosGetTimestampUs();
|
||||
// qDebug("calculate tag block rows:%d, cost:%ld us", rows, st2-st1);
|
||||
|
||||
end:
|
||||
taosMemoryFreeClear(keyBuf);
|
||||
taosHashCleanup(tags);
|
||||
taosHashCleanup(ctx.colHash);
|
||||
taosArrayDestroy(ctx.cInfoList);
|
||||
blockDataDestroy(pResBlock);
|
||||
taosArrayDestroy(pBlockList);
|
||||
taosArrayDestroy(uidList);
|
||||
taosArrayDestroyP(groupData, releaseColInfoData);
|
||||
return code;
|
||||
}
|
||||
|
||||
int32_t getTableList(void* metaHandle, void* pVnode, SScanPhysiNode* pScanNode, SNode* pTagCond, SNode* pTagIndexCond,
|
||||
STableListInfo* pListInfo) {
|
||||
int32_t code = TSDB_CODE_SUCCESS;
|
||||
|
|
@ -987,6 +1223,7 @@ SqlFunctionCtx* createSqlFunctionCtx(SExprInfo* pExprInfo, int32_t numOfOutput,
|
|||
pCtx->end.key = INT64_MIN;
|
||||
pCtx->numOfParams = pExpr->base.numOfParams;
|
||||
pCtx->increase = false;
|
||||
pCtx->isStream = false;
|
||||
|
||||
pCtx->param = pFunct->pParam;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -378,15 +378,30 @@ void initExecTimeWindowInfo(SColumnInfoData* pColData, STimeWindow* pQueryWindow
|
|||
|
||||
void cleanupExecTimeWindowInfo(SColumnInfoData* pColData) { colDataDestroy(pColData); }
|
||||
|
||||
void doApplyFunctions(SExecTaskInfo* taskInfo, SqlFunctionCtx* pCtx, STimeWindow* pWin,
|
||||
SColumnInfoData* pTimeWindowData, int32_t offset, int32_t forwardStep, TSKEY* tsCol,
|
||||
int32_t numOfTotal, int32_t numOfOutput, int32_t order) {
|
||||
typedef struct {
|
||||
bool hasAgg;
|
||||
int32_t numOfRows;
|
||||
int32_t startOffset;
|
||||
} SFunctionCtxStatus;
|
||||
|
||||
static void functionCtxSave(SqlFunctionCtx* pCtx, SFunctionCtxStatus* pStatus) {
|
||||
pStatus->hasAgg = pCtx->input.colDataAggIsSet;
|
||||
pStatus->numOfRows = pCtx->input.numOfRows;
|
||||
pStatus->startOffset = pCtx->input.startRowIndex;
|
||||
}
|
||||
|
||||
static void functionCtxRestore(SqlFunctionCtx* pCtx, SFunctionCtxStatus* pStatus) {
|
||||
pCtx->input.colDataAggIsSet = pStatus->hasAgg;
|
||||
pCtx->input.numOfRows = pStatus->numOfRows;
|
||||
pCtx->input.startRowIndex = pStatus->startOffset;
|
||||
}
|
||||
|
||||
void doApplyFunctions(SExecTaskInfo* taskInfo, SqlFunctionCtx* pCtx, SColumnInfoData* pTimeWindowData, int32_t offset,
|
||||
int32_t forwardStep, int32_t numOfTotal, int32_t numOfOutput) {
|
||||
for (int32_t k = 0; k < numOfOutput; ++k) {
|
||||
// keep it temporarily
|
||||
// todo no need this??
|
||||
bool hasAgg = pCtx[k].input.colDataAggIsSet;
|
||||
int32_t numOfRows = pCtx[k].input.numOfRows;
|
||||
int32_t startOffset = pCtx[k].input.startRowIndex;
|
||||
SFunctionCtxStatus status = {0};
|
||||
functionCtxSave(&pCtx[k], &status);
|
||||
|
||||
pCtx[k].input.startRowIndex = offset;
|
||||
pCtx[k].input.numOfRows = forwardStep;
|
||||
|
|
@ -424,9 +439,7 @@ void doApplyFunctions(SExecTaskInfo* taskInfo, SqlFunctionCtx* pCtx, STimeWindow
|
|||
}
|
||||
|
||||
// restore it
|
||||
pCtx[k].input.colDataAggIsSet = hasAgg;
|
||||
pCtx[k].input.startRowIndex = startOffset;
|
||||
pCtx[k].input.numOfRows = numOfRows;
|
||||
functionCtxRestore(&pCtx[k], &status);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -3329,7 +3342,11 @@ static SSDataBlock* doFillImpl(SOperatorInfo* pOperator) {
|
|||
pInfo->curGroupId = pInfo->pRes->info.groupId; // the first data block
|
||||
pInfo->totalInputRows += pInfo->pRes->info.rows;
|
||||
|
||||
taosFillSetStartInfo(pInfo->pFillInfo, pInfo->pRes->info.rows, pBlock->info.window.ekey);
|
||||
if (order == pInfo->pFillInfo->order) {
|
||||
taosFillSetStartInfo(pInfo->pFillInfo, pInfo->pRes->info.rows, pBlock->info.window.ekey);
|
||||
} else {
|
||||
taosFillSetStartInfo(pInfo->pFillInfo, pInfo->pRes->info.rows, pBlock->info.window.skey);
|
||||
}
|
||||
taosFillSetInputDataBlock(pInfo->pFillInfo, pInfo->pRes);
|
||||
} else if (pInfo->curGroupId != pBlock->info.groupId) { // the new group data block
|
||||
pInfo->existNewGroupBlock = pBlock;
|
||||
|
|
@ -3698,13 +3715,20 @@ static int32_t initFillInfo(SFillOperatorInfo* pInfo, SExprInfo* pExpr, int32_t
|
|||
const char* id, SInterval* pInterval, int32_t fillType, int32_t order) {
|
||||
SFillColInfo* pColInfo = createFillColInfo(pExpr, numOfCols, pNotFillExpr, numOfNotFillCols, pValNode);
|
||||
|
||||
STimeWindow w = getAlignQueryTimeWindow(pInterval, pInterval->precision, win.skey);
|
||||
w = getFirstQualifiedTimeWindow(win.skey, &w, pInterval, TSDB_ORDER_ASC);
|
||||
int64_t startKey = (order == TSDB_ORDER_ASC) ? win.skey : win.ekey;
|
||||
STimeWindow w = getAlignQueryTimeWindow(pInterval, pInterval->precision, startKey);
|
||||
w = getFirstQualifiedTimeWindow(startKey, &w, pInterval, order);
|
||||
|
||||
pInfo->pFillInfo = taosCreateFillInfo(w.skey, numOfCols, numOfNotFillCols, capacity, pInterval, fillType, pColInfo,
|
||||
pInfo->primaryTsCol, order, id);
|
||||
|
||||
pInfo->win = win;
|
||||
if (order == TSDB_ORDER_ASC) {
|
||||
pInfo->win.skey = win.skey;
|
||||
pInfo->win.ekey = win.ekey;
|
||||
} else {
|
||||
pInfo->win.skey = win.ekey;
|
||||
pInfo->win.ekey = win.skey;
|
||||
}
|
||||
pInfo->p = taosMemoryCalloc(numOfCols, POINTER_BYTES);
|
||||
|
||||
if (pInfo->pFillInfo == NULL || pInfo->p == NULL) {
|
||||
|
|
@ -3881,9 +3905,9 @@ static void cleanupTableSchemaInfo(SSchemaInfo* pSchemaInfo) {
|
|||
tDeleteSSchemaWrapper(pSchemaInfo->qsw);
|
||||
}
|
||||
|
||||
static int32_t sortTableGroup(STableListInfo* pTableListInfo, int32_t groupNum) {
|
||||
static int32_t sortTableGroup(STableListInfo* pTableListInfo) {
|
||||
taosArrayClear(pTableListInfo->pGroupList);
|
||||
SArray* sortSupport = taosArrayInit(groupNum, sizeof(uint64_t));
|
||||
SArray* sortSupport = taosArrayInit(16, sizeof(uint64_t));
|
||||
if (sortSupport == NULL) return TSDB_CODE_OUT_OF_MEMORY;
|
||||
for (int32_t i = 0; i < taosArrayGetSize(pTableListInfo->pTableList); i++) {
|
||||
STableKeyInfo* info = taosArrayGet(pTableListInfo->pTableList, i);
|
||||
|
|
@ -3961,48 +3985,26 @@ int32_t generateGroupIdMap(STableListInfo* pTableListInfo, SReadHandle* pHandle,
|
|||
if (pTableListInfo->map == NULL) {
|
||||
return TSDB_CODE_OUT_OF_MEMORY;
|
||||
}
|
||||
int32_t keyLen = 0;
|
||||
void* keyBuf = NULL;
|
||||
|
||||
SNode* node;
|
||||
FOREACH(node, group) {
|
||||
SExprNode* pExpr = (SExprNode*)node;
|
||||
keyLen += pExpr->resType.bytes;
|
||||
}
|
||||
|
||||
int32_t nullFlagSize = sizeof(int8_t) * LIST_LENGTH(group);
|
||||
keyLen += nullFlagSize;
|
||||
|
||||
keyBuf = taosMemoryCalloc(1, keyLen);
|
||||
if (keyBuf == NULL) {
|
||||
return TSDB_CODE_OUT_OF_MEMORY;
|
||||
}
|
||||
|
||||
bool assignUid = groupbyTbname(group);
|
||||
|
||||
int32_t groupNum = 0;
|
||||
size_t numOfTables = taosArrayGetSize(pTableListInfo->pTableList);
|
||||
|
||||
for (int32_t i = 0; i < numOfTables; i++) {
|
||||
STableKeyInfo* info = taosArrayGet(pTableListInfo->pTableList, i);
|
||||
|
||||
if (assignUid) {
|
||||
if(assignUid){
|
||||
for (int32_t i = 0; i < numOfTables; i++) {
|
||||
STableKeyInfo* info = taosArrayGet(pTableListInfo->pTableList, i);
|
||||
info->groupId = info->uid;
|
||||
} else {
|
||||
int32_t code = getGroupIdFromTagsVal(pHandle->meta, info->uid, group, keyBuf, &info->groupId);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
return code;
|
||||
}
|
||||
taosHashPut(pTableListInfo->map, &(info->uid), sizeof(uint64_t), &info->groupId, sizeof(uint64_t));
|
||||
}
|
||||
}else{
|
||||
int32_t code = getColInfoResultForGroupby(pHandle->meta, group, pTableListInfo);
|
||||
if (code != TSDB_CODE_SUCCESS) {
|
||||
return code;
|
||||
}
|
||||
|
||||
taosHashPut(pTableListInfo->map, &(info->uid), sizeof(uint64_t), &info->groupId, sizeof(uint64_t));
|
||||
groupNum++;
|
||||
}
|
||||
|
||||
taosMemoryFree(keyBuf);
|
||||
|
||||
if (pTableListInfo->needSortTableByGroupId) {
|
||||
return sortTableGroup(pTableListInfo, groupNum);
|
||||
return sortTableGroup(pTableListInfo);
|
||||
}
|
||||
|
||||
return TDB_CODE_SUCCESS;
|
||||
|
|
|
|||
|
|
@ -277,7 +277,7 @@ static void doHashGroupbyAgg(SOperatorInfo* pOperator, SSDataBlock* pBlock) {
|
|||
}
|
||||
|
||||
int32_t rowIndex = j - num;
|
||||
doApplyFunctions(pTaskInfo, pCtx, &w, NULL, rowIndex, num, NULL, pBlock->info.rows, pOperator->exprSupp.numOfExprs, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pCtx, NULL, rowIndex, num, pBlock->info.rows, pOperator->exprSupp.numOfExprs);
|
||||
|
||||
// assign the group keys or user input constant values if required
|
||||
doAssignGroupKeys(pCtx, pOperator->exprSupp.numOfExprs, pBlock->info.rows, rowIndex);
|
||||
|
|
@ -295,7 +295,7 @@ static void doHashGroupbyAgg(SOperatorInfo* pOperator, SSDataBlock* pBlock) {
|
|||
}
|
||||
|
||||
int32_t rowIndex = pBlock->info.rows - num;
|
||||
doApplyFunctions(pTaskInfo, pCtx, &w, NULL, rowIndex, num, NULL, pBlock->info.rows, pOperator->exprSupp.numOfExprs, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pCtx, NULL, rowIndex, num, pBlock->info.rows, pOperator->exprSupp.numOfExprs);
|
||||
doAssignGroupKeys(pCtx, pOperator->exprSupp.numOfExprs, pBlock->info.rows, rowIndex);
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -540,7 +540,7 @@ int64_t getNumOfResultsAfterFillGap(SFillInfo* pFillInfo, TSKEY ekey, int32_t ma
|
|||
|
||||
int64_t numOfRes = -1;
|
||||
if (numOfRows > 0) { // still fill gap within current data block, not generating data after the result set.
|
||||
TSKEY lastKey = (TSDB_ORDER_ASC == pFillInfo->order ? tsList[pFillInfo->numOfRows - 1] : tsList[0]);
|
||||
TSKEY lastKey = tsList[pFillInfo->numOfRows - 1];
|
||||
numOfRes = taosTimeCountInterval(lastKey, pFillInfo->currentKey, pFillInfo->interval.sliding,
|
||||
pFillInfo->interval.slidingUnit, pFillInfo->interval.precision);
|
||||
numOfRes += 1;
|
||||
|
|
|
|||
|
|
@ -641,8 +641,7 @@ static void doInterpUnclosedTimeWindow(SOperatorInfo* pOperatorInfo, int32_t num
|
|||
setResultRowInterpo(pResult, RESULT_ROW_END_INTERP);
|
||||
setNotInterpoWindowKey(pSup->pCtx, numOfExprs, RESULT_ROW_START_INTERP);
|
||||
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &w, &pInfo->twAggSup.timeWindowData, startPos, 0, tsCols, pBlock->info.rows,
|
||||
numOfExprs, pInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, startPos, 0, pBlock->info.rows, numOfExprs);
|
||||
|
||||
if (isResultRowInterpolated(pResult, RESULT_ROW_END_INTERP)) {
|
||||
closeResultRow(pr);
|
||||
|
|
@ -986,8 +985,8 @@ static void hashIntervalAgg(SOperatorInfo* pOperatorInfo, SResultRowInfo* pResul
|
|||
if ((!pInfo->ignoreExpiredData || !isCloseWindow(&win, &pInfo->twAggSup)) &&
|
||||
inSlidingWindow(&pInfo->interval, &win, &pBlock->info)) {
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &win, true);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &win, &pInfo->twAggSup.timeWindowData, startPos, forwardRows, tsCols,
|
||||
pBlock->info.rows, numOfOutput, pInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
}
|
||||
|
||||
doCloseWindow(pResultRowInfo, pInfo, pResult);
|
||||
|
|
@ -1026,8 +1025,8 @@ static void hashIntervalAgg(SOperatorInfo* pOperatorInfo, SResultRowInfo* pResul
|
|||
doWindowBorderInterpolation(pInfo, pBlock, pResult, &nextWin, startPos, forwardRows, pSup);
|
||||
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &nextWin, true);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &nextWin, &pInfo->twAggSup.timeWindowData, startPos, forwardRows, tsCols,
|
||||
pBlock->info.rows, numOfOutput, pInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
doCloseWindow(pResultRowInfo, pInfo, pResult);
|
||||
}
|
||||
|
||||
|
|
@ -1190,8 +1189,8 @@ static void doStateWindowAggImpl(SOperatorInfo* pOperator, SStateWindowOperatorI
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &window, false);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &window, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, NULL, pBlock->info.rows, numOfOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, pBlock->info.rows, numOfOutput);
|
||||
|
||||
// here we start a new session window
|
||||
doKeepNewWindowStartInfo(pRowSup, tsList, j, gid);
|
||||
|
|
@ -1215,8 +1214,8 @@ static void doStateWindowAggImpl(SOperatorInfo* pOperator, SStateWindowOperatorI
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &pRowSup->win, false);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pRowSup->win, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, NULL, pBlock->info.rows, numOfOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, pBlock->info.rows, numOfOutput);
|
||||
}
|
||||
|
||||
static SSDataBlock* doStateWindowAgg(SOperatorInfo* pOperator) {
|
||||
|
|
@ -1794,6 +1793,12 @@ void initIntervalDownStream(SOperatorInfo* downstream, uint16_t type, SAggSuppor
|
|||
pScanInfo->sessionSup.pIntervalAggSup = pSup;
|
||||
}
|
||||
|
||||
void initStreamFunciton(SqlFunctionCtx* pCtx, int32_t numOfExpr) {
|
||||
for (int32_t i = 0; i < numOfExpr; i++) {
|
||||
pCtx[i].isStream = true;
|
||||
}
|
||||
}
|
||||
|
||||
SOperatorInfo* createIntervalOperatorInfo(SOperatorInfo* downstream, SExprInfo* pExprInfo, int32_t numOfCols,
|
||||
SSDataBlock* pResBlock, SInterval* pInterval, int32_t primaryTsSlotId,
|
||||
STimeWindowAggSupp* pTwAggSupp, SIntervalPhysiNode* pPhyNode,
|
||||
|
|
@ -1836,6 +1841,7 @@ SOperatorInfo* createIntervalOperatorInfo(SOperatorInfo* downstream, SExprInfo*
|
|||
if (isStream) {
|
||||
ASSERT(numOfCols > 0);
|
||||
increaseTs(pSup->pCtx);
|
||||
initStreamFunciton(pSup->pCtx, pSup->numOfExprs);
|
||||
}
|
||||
|
||||
initExecTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &pInfo->win);
|
||||
|
|
@ -1934,8 +1940,8 @@ static void doSessionWindowAggImpl(SOperatorInfo* pOperator, SSessionAggOperator
|
|||
|
||||
// pInfo->numOfRows data belong to the current session window
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &window, false);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &window, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, NULL, pBlock->info.rows, numOfOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, pBlock->info.rows, numOfOutput);
|
||||
|
||||
// here we start a new session window
|
||||
doKeepNewWindowStartInfo(pRowSup, tsList, j, gid);
|
||||
|
|
@ -1952,8 +1958,8 @@ static void doSessionWindowAggImpl(SOperatorInfo* pOperator, SSessionAggOperator
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &pRowSup->win, false);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pRowSup->win, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, NULL, pBlock->info.rows, numOfOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, pRowSup->startRowIndex,
|
||||
pRowSup->numOfRows, pBlock->info.rows, numOfOutput);
|
||||
}
|
||||
|
||||
static SSDataBlock* doSessionWindowAgg(SOperatorInfo* pOperator) {
|
||||
|
|
@ -2952,8 +2958,8 @@ static void doHashInterval(SOperatorInfo* pOperatorInfo, SSDataBlock* pSDataBloc
|
|||
setResultBufPageDirty(pInfo->aggSup.pResultBuf, &pResultRowInfo->cur);
|
||||
}
|
||||
updateTimeWindowInfo(&pInfo->twAggSup.timeWindowData, &nextWin, true);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &nextWin, &pInfo->twAggSup.timeWindowData, startPos, forwardRows, tsCols,
|
||||
pSDataBlock->info.rows, numOfOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
pSDataBlock->info.rows, numOfOutput);
|
||||
int32_t prevEndPos = (forwardRows - 1) * step + startPos;
|
||||
ASSERT(pSDataBlock->info.window.skey > 0 && pSDataBlock->info.window.ekey > 0);
|
||||
startPos = getNextQualifiedWindow(&pInfo->interval, &nextWin, &pSDataBlock->info, tsCols, prevEndPos, pInfo->order);
|
||||
|
|
@ -3330,6 +3336,7 @@ SOperatorInfo* createStreamFinalIntervalOperatorInfo(SOperatorInfo* downstream,
|
|||
SSDataBlock* pResBlock = createResDataBlock(pPhyNode->pOutputDataBlockDesc);
|
||||
|
||||
int32_t code = initAggInfo(&pOperator->exprSupp, &pInfo->aggSup, pExprInfo, numOfCols, keyBufSize, pTaskInfo->id.str);
|
||||
initStreamFunciton(pOperator->exprSupp.pCtx, pOperator->exprSupp.numOfExprs);
|
||||
initBasicInfo(&pInfo->binfo, pResBlock);
|
||||
|
||||
ASSERT(numOfCols > 0);
|
||||
|
|
@ -3471,6 +3478,7 @@ int32_t initBasicInfoEx(SOptrBasicInfo* pBasicInfo, SExprSupp* pSup, SExprInfo*
|
|||
if (code != TSDB_CODE_SUCCESS) {
|
||||
return code;
|
||||
}
|
||||
initStreamFunciton(pSup->pCtx, pSup->numOfExprs);
|
||||
|
||||
initBasicInfo(pBasicInfo, pResultBlock);
|
||||
|
||||
|
|
@ -3776,8 +3784,7 @@ static int32_t doOneWindowAggImpl(int32_t tsColId, SOptrBasicInfo* pBinfo, SStre
|
|||
return TSDB_CODE_QRY_OUT_OF_MEMORY;
|
||||
}
|
||||
updateTimeWindowInfo(pTimeWindowData, &pCurWin->win, false);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &pCurWin->win, pTimeWindowData, startIndex, winRows, tsCols,
|
||||
pSDataBlock->info.rows, numOutput, TSDB_ORDER_ASC);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, pTimeWindowData, startIndex, winRows, pSDataBlock->info.rows, numOutput);
|
||||
SFilePage* bufPage = getBufPage(pAggSup->pResultBuf, pCurWin->pos.pageId);
|
||||
setBufPageDirty(bufPage, true);
|
||||
releaseBufPage(pAggSup->pResultBuf, bufPage);
|
||||
|
|
@ -4571,8 +4578,8 @@ SStateWindowInfo* getStateWindow(SStreamAggSupporter* pAggSup, TSKEY ts, uint64_
|
|||
return insertNewStateWindow(pWinInfos, ts, pKeyData, index + 1, pCol);
|
||||
}
|
||||
|
||||
int32_t updateStateWindowInfo(SArray* pWinInfos, int32_t winIndex, TSKEY* pTs, SColumnInfoData* pKeyCol, int32_t rows,
|
||||
int32_t start, bool* allEqual, SHashObj* pSeDelete) {
|
||||
int32_t updateStateWindowInfo(SArray* pWinInfos, int32_t winIndex, TSKEY* pTs, uint64_t groupId,
|
||||
SColumnInfoData* pKeyCol, int32_t rows, int32_t start, bool* allEqual, SHashObj* pSeDeleted) {
|
||||
*allEqual = true;
|
||||
SStateWindowInfo* pWinInfo = taosArrayGet(pWinInfos, winIndex);
|
||||
for (int32_t i = start; i < rows; ++i) {
|
||||
|
|
@ -4592,9 +4599,10 @@ int32_t updateStateWindowInfo(SArray* pWinInfos, int32_t winIndex, TSKEY* pTs, S
|
|||
}
|
||||
}
|
||||
if (pWinInfo->winInfo.win.skey > pTs[i]) {
|
||||
if (pSeDelete && pWinInfo->winInfo.isOutput) {
|
||||
taosHashPut(pSeDelete, &pWinInfo->winInfo.pos, sizeof(SResultRowPosition), &pWinInfo->winInfo.win.skey,
|
||||
sizeof(TSKEY));
|
||||
if (pSeDeleted && pWinInfo->winInfo.isOutput) {
|
||||
SWinRes res = {.ts = pWinInfo->winInfo.win.skey, .groupId = groupId};
|
||||
taosHashPut(pSeDeleted, &pWinInfo->winInfo.pos, sizeof(SResultRowPosition), &res,
|
||||
sizeof(SWinRes));
|
||||
pWinInfo->winInfo.isOutput = false;
|
||||
}
|
||||
pWinInfo->winInfo.win.skey = pTs[i];
|
||||
|
|
@ -4607,22 +4615,23 @@ int32_t updateStateWindowInfo(SArray* pWinInfos, int32_t winIndex, TSKEY* pTs, S
|
|||
return rows - start;
|
||||
}
|
||||
|
||||
static void doClearStateWindows(SStreamAggSupporter* pAggSup, SSDataBlock* pBlock, int32_t tsIndex, SColumn* pCol,
|
||||
int32_t keyIndex, SHashObj* pSeUpdated, SHashObj* pSeDeleted) {
|
||||
static void doClearStateWindows(SStreamAggSupporter* pAggSup, SSDataBlock* pBlock,
|
||||
int32_t tsIndex, SColumn* pCol, int32_t keyIndex, SHashObj* pSeUpdated, SHashObj* pSeDeleted) {
|
||||
SColumnInfoData* pTsColInfo = taosArrayGet(pBlock->pDataBlock, tsIndex);
|
||||
SColumnInfoData* pKeyColInfo = taosArrayGet(pBlock->pDataBlock, keyIndex);
|
||||
TSKEY* tsCol = (TSKEY*)pTsColInfo->pData;
|
||||
bool allEqual = false;
|
||||
int32_t step = 1;
|
||||
uint64_t groupId = pBlock->info.groupId;
|
||||
for (int32_t i = 0; i < pBlock->info.rows; i += step) {
|
||||
char* pKeyData = colDataGetData(pKeyColInfo, i);
|
||||
int32_t winIndex = 0;
|
||||
SStateWindowInfo* pCurWin = getStateWindowByTs(pAggSup, tsCol[i], pBlock->info.groupId, &winIndex);
|
||||
SStateWindowInfo* pCurWin = getStateWindowByTs(pAggSup, tsCol[i], groupId, &winIndex);
|
||||
if (!pCurWin) {
|
||||
continue;
|
||||
}
|
||||
step = updateStateWindowInfo(pAggSup->pCurWins, winIndex, tsCol, pKeyColInfo, pBlock->info.rows, i, &allEqual,
|
||||
pSeDeleted);
|
||||
step = updateStateWindowInfo(pAggSup->pCurWins, winIndex, tsCol, groupId, pKeyColInfo,
|
||||
pBlock->info.rows, i, &allEqual, pSeDeleted);
|
||||
ASSERT(isTsInWindow(pCurWin, tsCol[i]) || isEqualStateKey(pCurWin, pKeyData));
|
||||
taosHashRemove(pSeUpdated, &pCurWin->winInfo.pos, sizeof(SResultRowPosition));
|
||||
deleteWindow(pAggSup->pCurWins, winIndex, destroyStateWinInfo);
|
||||
|
|
@ -4661,12 +4670,12 @@ static void doStreamStateAggImpl(SOperatorInfo* pOperator, SSDataBlock* pSDataBl
|
|||
int32_t winIndex = 0;
|
||||
bool allEqual = true;
|
||||
SStateWindowInfo* pCurWin =
|
||||
getStateWindow(pAggSup, tsCols[i], pSDataBlock->info.groupId, pKeyData, &pInfo->stateCol, &winIndex);
|
||||
winRows = updateStateWindowInfo(pAggSup->pCurWins, winIndex, tsCols, pKeyColInfo, pSDataBlock->info.rows, i,
|
||||
&allEqual, pInfo->pSeDeleted);
|
||||
getStateWindow(pAggSup, tsCols[i], groupId, pKeyData, &pInfo->stateCol, &winIndex);
|
||||
winRows = updateStateWindowInfo(pAggSup->pCurWins, winIndex, tsCols, groupId, pKeyColInfo,
|
||||
pSDataBlock->info.rows, i, &allEqual, pStDeleted);
|
||||
if (!allEqual) {
|
||||
appendOneRow(pAggSup->pScanBlock, &pCurWin->winInfo.win.skey, &pCurWin->winInfo.win.ekey,
|
||||
&pSDataBlock->info.groupId);
|
||||
&groupId);
|
||||
taosHashRemove(pSeUpdated, &pCurWin->winInfo.pos, sizeof(SResultRowPosition));
|
||||
deleteWindow(pAggSup->pCurWins, winIndex, destroyStateWinInfo);
|
||||
continue;
|
||||
|
|
@ -4830,9 +4839,7 @@ SOperatorInfo* createStreamStateAggOperatorInfo(SOperatorInfo* downstream, SPhys
|
|||
_hash_fn_t hashFn = taosGetDefaultHashFunction(TSDB_DATA_TYPE_BINARY);
|
||||
pInfo->pSeDeleted = taosHashInit(64, hashFn, true, HASH_NO_LOCK);
|
||||
pInfo->pDelIterator = NULL;
|
||||
// pInfo->pDelRes = createSpecialDataBlock(STREAM_DELETE_RESULT);
|
||||
pInfo->pDelRes = createOneDataBlock(pInfo->binfo.pRes, false); // todo(liuyao) for delete
|
||||
pInfo->pDelRes->info.type = STREAM_DELETE_RESULT; // todo(liuyao) for delete
|
||||
pInfo->pDelRes = createSpecialDataBlock(STREAM_DELETE_RESULT);
|
||||
pInfo->pChildren = NULL;
|
||||
pInfo->ignoreExpiredData = pStateNode->window.igExpired;
|
||||
|
||||
|
|
@ -4938,8 +4945,8 @@ static void doMergeAlignedIntervalAggImpl(SOperatorInfo* pOperatorInfo, SResultR
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&iaInfo->twAggSup.timeWindowData, &currWin, true);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &currWin, &iaInfo->twAggSup.timeWindowData, startPos, currPos - startPos,
|
||||
tsCols, pBlock->info.rows, numOfOutput, iaInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &iaInfo->twAggSup.timeWindowData, startPos, currPos - startPos,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
|
||||
outputMergeAlignedIntervalResult(pOperatorInfo, tableGroupId, pResultBlock, miaInfo->curTs);
|
||||
miaInfo->curTs = tsCols[currPos];
|
||||
|
|
@ -4960,8 +4967,8 @@ static void doMergeAlignedIntervalAggImpl(SOperatorInfo* pOperatorInfo, SResultR
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&iaInfo->twAggSup.timeWindowData, &currWin, true);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &currWin, &iaInfo->twAggSup.timeWindowData, startPos, currPos - startPos,
|
||||
tsCols, pBlock->info.rows, numOfOutput, iaInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pSup->pCtx, &iaInfo->twAggSup.timeWindowData, startPos, currPos - startPos,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
}
|
||||
|
||||
static void doMergeAlignedIntervalAgg(SOperatorInfo* pOperator) {
|
||||
|
|
@ -5253,8 +5260,8 @@ static void doMergeIntervalAggImpl(SOperatorInfo* pOperatorInfo, SResultRowInfo*
|
|||
}
|
||||
|
||||
updateTimeWindowInfo(&iaInfo->twAggSup.timeWindowData, &win, true);
|
||||
doApplyFunctions(pTaskInfo, pExprSup->pCtx, &win, &iaInfo->twAggSup.timeWindowData, startPos, forwardRows, tsCols,
|
||||
pBlock->info.rows, numOfOutput, iaInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pExprSup->pCtx, &iaInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
doCloseWindow(pResultRowInfo, iaInfo, pResult);
|
||||
|
||||
// output previous interval results after this interval (&win) is closed
|
||||
|
|
@ -5285,8 +5292,8 @@ static void doMergeIntervalAggImpl(SOperatorInfo* pOperatorInfo, SResultRowInfo*
|
|||
doWindowBorderInterpolation(iaInfo, pBlock, pResult, &nextWin, startPos, forwardRows, pExprSup);
|
||||
|
||||
updateTimeWindowInfo(&iaInfo->twAggSup.timeWindowData, &nextWin, true);
|
||||
doApplyFunctions(pTaskInfo, pExprSup->pCtx, &nextWin, &iaInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
tsCols, pBlock->info.rows, numOfOutput, iaInfo->inputOrder);
|
||||
doApplyFunctions(pTaskInfo, pExprSup->pCtx, &iaInfo->twAggSup.timeWindowData, startPos, forwardRows,
|
||||
pBlock->info.rows, numOfOutput);
|
||||
doCloseWindow(pResultRowInfo, iaInfo, pResult);
|
||||
|
||||
// output previous interval results after this interval (&nextWin) is closed
|
||||
|
|
|
|||
|
|
@ -468,7 +468,7 @@ int32_t functionFinalize(SqlFunctionCtx* pCtx, SSDataBlock* pBlock) {
|
|||
SColumnInfoData* pCol = taosArrayGet(pBlock->pDataBlock, slotId);
|
||||
|
||||
SResultRowEntryInfo* pResInfo = GET_RES_INFO(pCtx);
|
||||
pResInfo->isNullRes = (pResInfo->isNullRes == 1) ? 1 : (pResInfo->numOfRes == 0);
|
||||
pResInfo->isNullRes = (pResInfo->numOfRes == 0) ? 1 : 0;
|
||||
|
||||
char* in = GET_ROWCELL_INTERBUF(pResInfo);
|
||||
colDataAppend(pCol, pBlock->info.rows, in, pResInfo->isNullRes);
|
||||
|
|
@ -498,7 +498,7 @@ int32_t functionFinalizeWithResultBuf(SqlFunctionCtx* pCtx, SSDataBlock* pBlock,
|
|||
SColumnInfoData* pCol = taosArrayGet(pBlock->pDataBlock, slotId);
|
||||
|
||||
SResultRowEntryInfo* pResInfo = GET_RES_INFO(pCtx);
|
||||
pResInfo->isNullRes = (pResInfo->isNullRes == 1) ? 1 : (pResInfo->numOfRes == 0);;
|
||||
pResInfo->isNullRes = (pResInfo->numOfRes == 0) ? 1 : 0;
|
||||
|
||||
char* in = finalResult;
|
||||
colDataAppend(pCol, pBlock->info.rows, in, pResInfo->isNullRes);
|
||||
|
|
@ -663,8 +663,7 @@ int32_t sumFunction(SqlFunctionCtx* pCtx) {
|
|||
|
||||
// check for overflow
|
||||
if (IS_FLOAT_TYPE(type) && (isinf(pSumRes->dsum) || isnan(pSumRes->dsum))) {
|
||||
GET_RES_INFO(pCtx)->isNullRes = 1;
|
||||
numOfElem = 1;
|
||||
numOfElem = 0;
|
||||
}
|
||||
|
||||
_sum_over:
|
||||
|
|
@ -791,8 +790,7 @@ int32_t avgFunction(SqlFunctionCtx* pCtx) {
|
|||
int32_t numOfRows = pInput->numOfRows;
|
||||
|
||||
if (IS_NULL_TYPE(type)) {
|
||||
GET_RES_INFO(pCtx)->isNullRes = 1;
|
||||
numOfElem = 1;
|
||||
numOfElem = 0;
|
||||
goto _avg_over;
|
||||
}
|
||||
|
||||
|
|
@ -1613,7 +1611,7 @@ int32_t minmaxFunctionFinalize(SqlFunctionCtx* pCtx, SSDataBlock* pBlock) {
|
|||
int32_t currentRow = pBlock->info.rows;
|
||||
|
||||
SColumnInfoData* pCol = taosArrayGet(pBlock->pDataBlock, slotId);
|
||||
pEntryInfo->isNullRes = (pEntryInfo->isNullRes == 1) ? 1 : (pEntryInfo->numOfRes == 0);
|
||||
pEntryInfo->isNullRes = (pEntryInfo->numOfRes == 0) ? 1 : 0;
|
||||
|
||||
if (pCol->info.type == TSDB_DATA_TYPE_FLOAT) {
|
||||
float v = *(double*)&pRes->v;
|
||||
|
|
@ -1792,8 +1790,7 @@ int32_t stddevFunction(SqlFunctionCtx* pCtx) {
|
|||
int32_t numOfRows = pInput->numOfRows;
|
||||
|
||||
if (IS_NULL_TYPE(type)) {
|
||||
GET_RES_INFO(pCtx)->isNullRes = 1;
|
||||
numOfElem = 1;
|
||||
numOfElem = 0;
|
||||
goto _stddev_over;
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -817,6 +817,7 @@ void nodesDestroyNode(SNode* pNode) {
|
|||
destroyLogicNode((SLogicNode*)pLogicNode);
|
||||
nodesDestroyNode(pLogicNode->pWStartTs);
|
||||
nodesDestroyNode(pLogicNode->pValues);
|
||||
nodesDestroyList(pLogicNode->pFillExprs);
|
||||
break;
|
||||
}
|
||||
case QUERY_NODE_LOGIC_PLAN_SORT: {
|
||||
|
|
|
|||
|
|
@ -681,6 +681,11 @@ static int32_t parseBoundColumns(SInsertParseContext* pCxt, SParsedDataColInfo*
|
|||
break;
|
||||
}
|
||||
|
||||
char tmpTokenBuf[TSDB_COL_NAME_LEN + 2] = {0}; // used for deleting Escape character backstick(`)
|
||||
strncpy(tmpTokenBuf, sToken.z, sToken.n);
|
||||
sToken.z = tmpTokenBuf;
|
||||
sToken.n = strdequote(sToken.z);
|
||||
|
||||
col_id_t t = lastColIdx + 1;
|
||||
col_id_t index = findCol(&sToken, t, nCols, pSchema);
|
||||
if (index < 0 && t > 0) {
|
||||
|
|
|
|||
|
|
@ -1881,6 +1881,12 @@ static EDealRes doCheckExprForGroupBy(SNode** pNode, void* pContext) {
|
|||
return rewriteExprToGroupKeyFunc(pCxt, pNode);
|
||||
}
|
||||
}
|
||||
if (NULL != pSelect->pWindow && QUERY_NODE_STATE_WINDOW == nodeType(pSelect->pWindow)) {
|
||||
if (nodesEqualNode(((SStateWindowNode*)pSelect->pWindow)->pExpr, *pNode)) {
|
||||
pSelect->hasStateKey = true;
|
||||
return rewriteExprToGroupKeyFunc(pCxt, pNode);
|
||||
}
|
||||
}
|
||||
if (isScanPseudoColumnFunc(*pNode) || QUERY_NODE_COLUMN == nodeType(*pNode)) {
|
||||
if (pSelect->selectFuncNum > 1 || pSelect->hasOtherVectorFunc || !pSelect->hasSelectFunc) {
|
||||
return generateDealNodeErrMsg(pCxt, getGroupByErrorCode(pCxt));
|
||||
|
|
@ -1973,7 +1979,7 @@ static int32_t checkWindowFuncCoexist(STranslateContext* pCxt, SSelectStmt* pSel
|
|||
if (NULL == pSelect->pWindow) {
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
if (NULL != pSelect->pWindow && !pSelect->hasAggFuncs) {
|
||||
if (NULL != pSelect->pWindow && !pSelect->hasAggFuncs && !pSelect->hasStateKey) {
|
||||
return generateSyntaxErrMsg(&pCxt->msgBuf, TSDB_CODE_PAR_NO_VALID_FUNC_IN_WIN);
|
||||
}
|
||||
return TSDB_CODE_SUCCESS;
|
||||
|
|
@ -2825,7 +2831,7 @@ static int32_t createDefaultFillNode(STranslateContext* pCxt, SNode** pOutput) {
|
|||
static int32_t checkEvery(STranslateContext* pCxt, SValueNode* pInterval) {
|
||||
int32_t len = strlen(pInterval->literal);
|
||||
|
||||
char *unit = &pInterval->literal[len - 1];
|
||||
char* unit = &pInterval->literal[len - 1];
|
||||
if (*unit == 'n' || *unit == 'y') {
|
||||
return generateSyntaxErrMsgExt(&pCxt->msgBuf, TSDB_CODE_PAR_WRONG_VALUE_TYPE,
|
||||
"Unsupported time unit in EVERY clause");
|
||||
|
|
@ -2837,7 +2843,7 @@ static int32_t checkEvery(STranslateContext* pCxt, SValueNode* pInterval) {
|
|||
static int32_t translateInterpEvery(STranslateContext* pCxt, SNode** pEvery) {
|
||||
int32_t code = TSDB_CODE_SUCCESS;
|
||||
|
||||
code = checkEvery(pCxt, (SValueNode *)(*pEvery));
|
||||
code = checkEvery(pCxt, (SValueNode*)(*pEvery));
|
||||
if (TSDB_CODE_SUCCESS == code) {
|
||||
code = translateExpr(pCxt, pEvery);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1159,6 +1159,16 @@ void destoryParseMetaCache(SParseMetaCache* pMetaCache, bool request) {
|
|||
taosHashCleanup(pMetaCache->pTableMeta);
|
||||
taosHashCleanup(pMetaCache->pTableVgroup);
|
||||
}
|
||||
SInsertTablesMetaReq* p = taosHashIterate(pMetaCache->pInsertTables, NULL);
|
||||
while (NULL != p) {
|
||||
taosArrayDestroy(p->pTableMetaPos);
|
||||
taosArrayDestroy(p->pTableMetaReq);
|
||||
taosArrayDestroy(p->pTableVgroupPos);
|
||||
taosArrayDestroy(p->pTableVgroupReq);
|
||||
|
||||
p = taosHashIterate(pMetaCache->pInsertTables, p);
|
||||
}
|
||||
taosHashCleanup(pMetaCache->pInsertTables);
|
||||
taosHashCleanup(pMetaCache->pDbVgroup);
|
||||
taosHashCleanup(pMetaCache->pDbCfg);
|
||||
taosHashCleanup(pMetaCache->pDbInfo);
|
||||
|
|
|
|||
|
|
@ -149,13 +149,10 @@ int32_t qwExecTask(QW_FPARAMS_DEF, SQWTaskCtx *ctx, bool *queryStop) {
|
|||
}
|
||||
}
|
||||
|
||||
_return:
|
||||
|
||||
taosArrayDestroy(pResList);
|
||||
QW_RET(code);
|
||||
|
||||
_return:
|
||||
taosArrayDestroy(pResList);
|
||||
|
||||
return code;
|
||||
}
|
||||
|
||||
int32_t qwGenerateSchHbRsp(SQWorker *mgmt, SQWSchStatus *sch, SQWHbInfo *hbInfo) {
|
||||
|
|
|
|||
|
|
@ -60,8 +60,7 @@ typedef enum {
|
|||
#define SCH_DEFAULT_TASK_TIMEOUT_USEC 10000000
|
||||
#define SCH_MAX_TASK_TIMEOUT_USEC 60000000
|
||||
#define SCH_DEFAULT_MAX_RETRY_NUM 6
|
||||
|
||||
#define SCH_ASYNC_LAUNCH_TASK 0
|
||||
#define SCH_MIN_AYSNC_EXEC_NUM 3
|
||||
|
||||
typedef struct SSchDebug {
|
||||
bool lockEnable;
|
||||
|
|
|
|||
|
|
@ -871,14 +871,14 @@ _return:
|
|||
|
||||
taosMemoryFree(param);
|
||||
|
||||
#if SCH_ASYNC_LAUNCH_TASK
|
||||
if (code) {
|
||||
code = schProcessOnTaskFailure(pJob, pTask, code);
|
||||
if (pJob->taskNum >= SCH_MIN_AYSNC_EXEC_NUM) {
|
||||
if (code) {
|
||||
code = schProcessOnTaskFailure(pJob, pTask, code);
|
||||
}
|
||||
if (code) {
|
||||
code = schHandleJobFailure(pJob, code);
|
||||
}
|
||||
}
|
||||
if (code) {
|
||||
code = schHandleJobFailure(pJob, code);
|
||||
}
|
||||
#endif
|
||||
|
||||
SCH_RET(code);
|
||||
}
|
||||
|
|
@ -893,12 +893,12 @@ int32_t schAsyncLaunchTaskImpl(SSchJob *pJob, SSchTask *pTask) {
|
|||
param->pJob = pJob;
|
||||
param->pTask = pTask;
|
||||
|
||||
#if SCH_ASYNC_LAUNCH_TASK
|
||||
taosAsyncExec(schLaunchTaskImpl, param, NULL);
|
||||
#else
|
||||
SCH_ERR_RET(schLaunchTaskImpl(param));
|
||||
#endif
|
||||
|
||||
if (pJob->taskNum >= SCH_MIN_AYSNC_EXEC_NUM) {
|
||||
taosAsyncExec(schLaunchTaskImpl, param, NULL);
|
||||
} else {
|
||||
SCH_ERR_RET(schLaunchTaskImpl(param));
|
||||
}
|
||||
|
||||
return TSDB_CODE_SUCCESS;
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -28,10 +28,10 @@ extern "C" {
|
|||
#include "syncMessage.h"
|
||||
#include "taosdef.h"
|
||||
|
||||
#define SYNC_SNAPSHOT_SEQ_INVALID -1
|
||||
#define SYNC_SNAPSHOT_SEQ_INVALID -1
|
||||
#define SYNC_SNAPSHOT_SEQ_FORCE_CLOSE -2
|
||||
#define SYNC_SNAPSHOT_SEQ_BEGIN 0
|
||||
#define SYNC_SNAPSHOT_SEQ_END 0x7FFFFFFF
|
||||
#define SYNC_SNAPSHOT_SEQ_BEGIN 0
|
||||
#define SYNC_SNAPSHOT_SEQ_END 0x7FFFFFFF
|
||||
|
||||
#define SYNC_SNAPSHOT_RETRY_MS 5000
|
||||
|
||||
|
|
@ -40,14 +40,14 @@ typedef struct SSyncSnapshotSender {
|
|||
bool start;
|
||||
int32_t seq;
|
||||
int32_t ack;
|
||||
void * pReader;
|
||||
void * pCurrentBlock;
|
||||
void *pReader;
|
||||
void *pCurrentBlock;
|
||||
int32_t blockLen;
|
||||
SSnapshotParam snapshotParam;
|
||||
SSnapshot snapshot;
|
||||
SSyncCfg lastConfig;
|
||||
int64_t sendingMS;
|
||||
SSyncNode * pSyncNode;
|
||||
SSyncNode *pSyncNode;
|
||||
int32_t replicaIndex;
|
||||
SyncTerm term;
|
||||
SyncTerm privateTerm;
|
||||
|
|
@ -64,20 +64,20 @@ int32_t snapshotSend(SSyncSnapshotSender *pSender);
|
|||
int32_t snapshotReSend(SSyncSnapshotSender *pSender);
|
||||
|
||||
cJSON *snapshotSender2Json(SSyncSnapshotSender *pSender);
|
||||
char * snapshotSender2Str(SSyncSnapshotSender *pSender);
|
||||
char * snapshotSender2SimpleStr(SSyncSnapshotSender *pSender, char *event);
|
||||
char *snapshotSender2Str(SSyncSnapshotSender *pSender);
|
||||
char *snapshotSender2SimpleStr(SSyncSnapshotSender *pSender, char *event);
|
||||
|
||||
//---------------------------------------------------
|
||||
typedef struct SSyncSnapshotReceiver {
|
||||
bool start;
|
||||
int32_t ack;
|
||||
void * pWriter;
|
||||
void *pWriter;
|
||||
SyncTerm term;
|
||||
SyncTerm privateTerm;
|
||||
SSnapshotParam snapshotParam;
|
||||
SSnapshot snapshot;
|
||||
SRaftId fromId;
|
||||
SSyncNode * pSyncNode;
|
||||
SSyncNode *pSyncNode;
|
||||
|
||||
} SSyncSnapshotReceiver;
|
||||
|
||||
|
|
@ -86,10 +86,11 @@ void snapshotReceiverDestroy(SSyncSnapshotReceiver *pReceiver)
|
|||
int32_t snapshotReceiverStart(SSyncSnapshotReceiver *pReceiver, SyncSnapshotSend *pBeginMsg);
|
||||
int32_t snapshotReceiverStop(SSyncSnapshotReceiver *pReceiver);
|
||||
bool snapshotReceiverIsStart(SSyncSnapshotReceiver *pReceiver);
|
||||
void snapshotReceiverForceStop(SSyncSnapshotReceiver *pReceiver);
|
||||
|
||||
cJSON *snapshotReceiver2Json(SSyncSnapshotReceiver *pReceiver);
|
||||
char * snapshotReceiver2Str(SSyncSnapshotReceiver *pReceiver);
|
||||
char * snapshotReceiver2SimpleStr(SSyncSnapshotReceiver *pReceiver, char *event);
|
||||
char *snapshotReceiver2Str(SSyncSnapshotReceiver *pReceiver);
|
||||
char *snapshotReceiver2SimpleStr(SSyncSnapshotReceiver *pReceiver, char *event);
|
||||
|
||||
//---------------------------------------------------
|
||||
// on message
|
||||
|
|
|
|||
|
|
@ -2181,6 +2181,11 @@ void syncNodeBecomeLeader(SSyncNode* pSyncNode, const char* debugStr) {
|
|||
(pMySender->privateTerm) += 100;
|
||||
}
|
||||
|
||||
// close receiver
|
||||
if (snapshotReceiverIsStart(pSyncNode->pNewNodeReceiver)) {
|
||||
snapshotReceiverForceStop(pSyncNode->pNewNodeReceiver);
|
||||
}
|
||||
|
||||
// stop elect timer
|
||||
syncNodeStopElectTimer(pSyncNode);
|
||||
|
||||
|
|
|
|||
|
|
@ -171,7 +171,7 @@ SRaftCfg *raftCfgOpen(const char *path) {
|
|||
|
||||
taosLSeekFile(pCfg->pFile, 0, SEEK_SET);
|
||||
|
||||
char buf[1024] = {0};
|
||||
char buf[CONFIG_FILE_LEN] = {0};
|
||||
int len = taosReadFile(pCfg->pFile, buf, sizeof(buf));
|
||||
ASSERT(len > 0);
|
||||
|
||||
|
|
|
|||
|
|
@ -24,7 +24,6 @@
|
|||
//----------------------------------
|
||||
static void snapshotSenderUpdateProgress(SSyncSnapshotSender *pSender, SyncSnapshotRsp *pMsg);
|
||||
static void snapshotReceiverDoStart(SSyncSnapshotReceiver *pReceiver, SyncSnapshotSend *pBeginMsg);
|
||||
static void snapshotReceiverForceStop(SSyncSnapshotReceiver *pReceiver);
|
||||
static void snapshotReceiverGotData(SSyncSnapshotReceiver *pReceiver, SyncSnapshotSend *pMsg);
|
||||
static int32_t snapshotReceiverFinish(SSyncSnapshotReceiver *pReceiver, SyncSnapshotSend *pMsg);
|
||||
|
||||
|
|
@ -374,14 +373,14 @@ cJSON *snapshotSender2Json(SSyncSnapshotSender *pSender) {
|
|||
|
||||
char *snapshotSender2Str(SSyncSnapshotSender *pSender) {
|
||||
cJSON *pJson = snapshotSender2Json(pSender);
|
||||
char * serialized = cJSON_Print(pJson);
|
||||
char *serialized = cJSON_Print(pJson);
|
||||
cJSON_Delete(pJson);
|
||||
return serialized;
|
||||
}
|
||||
|
||||
char *snapshotSender2SimpleStr(SSyncSnapshotSender *pSender, char *event) {
|
||||
int32_t len = 256;
|
||||
char * s = taosMemoryMalloc(len);
|
||||
char *s = taosMemoryMalloc(len);
|
||||
|
||||
SRaftId destId = pSender->pSyncNode->replicasId[pSender->replicaIndex];
|
||||
char host[64];
|
||||
|
|
@ -480,7 +479,7 @@ static void snapshotReceiverDoStart(SSyncSnapshotReceiver *pReceiver, SyncSnapsh
|
|||
}
|
||||
|
||||
// force stop
|
||||
static void snapshotReceiverForceStop(SSyncSnapshotReceiver *pReceiver) {
|
||||
void snapshotReceiverForceStop(SSyncSnapshotReceiver *pReceiver) {
|
||||
// force close, abandon incomplete data
|
||||
if (pReceiver->pWriter != NULL) {
|
||||
int32_t ret = pReceiver->pSyncNode->pFsm->FpSnapshotStopWrite(pReceiver->pSyncNode->pFsm, pReceiver->pWriter, false,
|
||||
|
|
@ -653,7 +652,7 @@ cJSON *snapshotReceiver2Json(SSyncSnapshotReceiver *pReceiver) {
|
|||
cJSON_AddStringToObject(pFromId, "addr", u64buf);
|
||||
{
|
||||
uint64_t u64 = pReceiver->fromId.addr;
|
||||
cJSON * pTmp = pFromId;
|
||||
cJSON *pTmp = pFromId;
|
||||
char host[128] = {0};
|
||||
uint16_t port;
|
||||
syncUtilU642Addr(u64, host, sizeof(host), &port);
|
||||
|
|
@ -686,14 +685,14 @@ cJSON *snapshotReceiver2Json(SSyncSnapshotReceiver *pReceiver) {
|
|||
|
||||
char *snapshotReceiver2Str(SSyncSnapshotReceiver *pReceiver) {
|
||||
cJSON *pJson = snapshotReceiver2Json(pReceiver);
|
||||
char * serialized = cJSON_Print(pJson);
|
||||
char *serialized = cJSON_Print(pJson);
|
||||
cJSON_Delete(pJson);
|
||||
return serialized;
|
||||
}
|
||||
|
||||
char *snapshotReceiver2SimpleStr(SSyncSnapshotReceiver *pReceiver, char *event) {
|
||||
int32_t len = 256;
|
||||
char * s = taosMemoryMalloc(len);
|
||||
char *s = taosMemoryMalloc(len);
|
||||
|
||||
SRaftId fromId = pReceiver->fromId;
|
||||
char host[128];
|
||||
|
|
|
|||
|
|
@ -440,10 +440,10 @@ int64_t taosPReadFile(TdFilePtr pFile, void *buf, int64_t count, int64_t offset)
|
|||
#endif
|
||||
assert(pFile->fd >= 0); // Please check if you have closed the file.
|
||||
#ifdef WINDOWS
|
||||
size_t pos = _lseek(pFile->fd, 0, SEEK_CUR);
|
||||
_lseek(pFile->fd, offset, SEEK_SET);
|
||||
size_t pos = _lseeki64(pFile->fd, 0, SEEK_CUR);
|
||||
_lseeki64(pFile->fd, offset, SEEK_SET);
|
||||
int64_t ret = _read(pFile->fd, buf, count);
|
||||
_lseek(pFile->fd, pos, SEEK_SET);
|
||||
_lseeki64(pFile->fd, pos, SEEK_SET);
|
||||
#else
|
||||
int64_t ret = pread(pFile->fd, buf, count, offset);
|
||||
#endif
|
||||
|
|
@ -493,7 +493,7 @@ int64_t taosLSeekFile(TdFilePtr pFile, int64_t offset, int32_t whence) {
|
|||
#endif
|
||||
assert(pFile->fd >= 0); // Please check if you have closed the file.
|
||||
#ifdef WINDOWS
|
||||
int64_t ret = _lseek(pFile->fd, offset, whence);
|
||||
int64_t ret = _lseeki64(pFile->fd, offset, whence);
|
||||
#else
|
||||
int64_t ret = lseek(pFile->fd, offset, whence);
|
||||
#endif
|
||||
|
|
@ -637,7 +637,7 @@ int64_t taosFSendFile(TdFilePtr pFileOut, TdFilePtr pFileIn, int64_t *offset, in
|
|||
|
||||
#ifdef WINDOWS
|
||||
|
||||
_lseek(pFileIn->fd, (int32_t)(*offset), 0);
|
||||
_lseeki64(pFileIn->fd, *offset, 0);
|
||||
int64_t writeLen = 0;
|
||||
uint8_t buffer[_SEND_FILE_STEP_] = {0};
|
||||
|
||||
|
|
|
|||
|
|
@ -74,6 +74,7 @@ sql explain analyze verbose true select ts from tb1 where f1 > 0;
|
|||
sql explain analyze verbose true select f1 from st1 where f1 > 0 and ts > '2020-10-31 00:00:00' and ts < '2021-10-31 00:00:00';
|
||||
sql explain analyze verbose true select * from information_schema.ins_stables where db_name='db2';
|
||||
sql explain analyze verbose true select * from (select min(f1),count(*) a from st1 where f1 > 0) where a < 0;
|
||||
sql explain analyze verbose true select count(f1) from st1 group by tbname;
|
||||
|
||||
#not pass case
|
||||
#sql explain verbose true select count(*),sum(f1) as aa from tb1 where (f1 > 0 or f1 < -1) and ts > '2020-10-31 00:00:00' and ts < '2021-10-31 00:00:00' order by aa;
|
||||
|
|
|
|||
|
|
@ -5,15 +5,15 @@ sleep 50
|
|||
sql connect
|
||||
|
||||
print =============== create database
|
||||
sql create database test vgroups 1
|
||||
sql select * from information_schema.ins_databases
|
||||
sql create database test vgroups 1;
|
||||
sql select * from information_schema.ins_databases;
|
||||
if $rows != 3 then
|
||||
return -1
|
||||
endi
|
||||
|
||||
print $data00 $data01 $data02
|
||||
|
||||
sql use test
|
||||
sql use test;
|
||||
|
||||
sql create table t1(ts timestamp, a int, b int , c int, d double, id int);
|
||||
sql create stream streams1 trigger at_once into streamt1 as select _wstart, count(*) c1, count(d) c2 , sum(a) c3 , max(a) c4, min(c) c5, max(id) c from t1 state_window(a);
|
||||
|
|
|
|||
|
|
@ -114,8 +114,8 @@ sql select tbcol5 - tbcol3 from stb
|
|||
sql select spread( tbcol2 )/44, spread(tbcol2), 0.204545455 * 44 from stb;
|
||||
sql select min(tbcol) * max(tbcol) /4, sum(tbcol2) * apercentile(tbcol2, 20), apercentile(tbcol2, 33) + 52/9 from stb;
|
||||
sql select distinct(tbname), tgcol from stb;
|
||||
#sql select sum(tbcol) from stb partition by tbname interval(1s) slimit 1 soffset 1;
|
||||
#sql select sum(tbcol) from stb partition by tbname interval(1s) slimit 2 soffset 4 limit 10 offset 1;
|
||||
sql select sum(tbcol) from stb partition by tbname interval(1s) slimit 1 soffset 1;
|
||||
sql select sum(tbcol) from stb partition by tbname interval(1s) slimit 2 soffset 4 limit 10 offset 1;
|
||||
|
||||
print =============== step5: explain
|
||||
sql explain analyze select ts from stb where -2;
|
||||
|
|
|
|||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue