fix:conflicts

This commit is contained in:
wangmm0220 2023-06-14 12:05:10 +08:00
commit 864236a8dc
176 changed files with 6670 additions and 3764 deletions

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@ -2,7 +2,7 @@
IF (DEFINED VERNUMBER)
SET(TD_VER_NUMBER ${VERNUMBER})
ELSE ()
SET(TD_VER_NUMBER "3.0.4.3")
SET(TD_VER_NUMBER "3.0.5.0")
ENDIF ()
IF (DEFINED VERCOMPATIBLE)

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@ -274,7 +274,7 @@ if(${BUILD_WITH_ROCKSDB})
option(WITH_TOOLS "" OFF)
option(WITH_LIBURING "" OFF)
IF (TD_LINUX)
option(ROCKSDB_BUILD_SHARED "Build shared versions of the RocksDB libraries" ON)
option(ROCKSDB_BUILD_SHARED "Build shared versions of the RocksDB libraries" OFF)
ELSE()
option(ROCKSDB_BUILD_SHARED "Build shared versions of the RocksDB libraries" OFF)
ENDIF()

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@ -105,6 +105,12 @@ class Consumer:
def poll(self, timeout: float = 1.0):
pass
def assignment(self):
pass
def poll(self, timeout: float = 1.0):
pass
def close(self):
pass

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@ -45,7 +45,7 @@ In TDengine, the data types below can be used when specifying a column or tag.
:::note
- Only ASCII visible characters are suggested to be used in a column or tag of BINARY type. Multi-byte characters must be stored in NCHAR type.
- The length of BINARY can be up to 16,374 bytes. The string value must be quoted with single quotes. You must specify a length in bytes for a BINARY value, for example binary(20) for up to twenty single-byte characters. If the data exceeds the specified length, an error will occur. The literal single quote inside the string must be preceded with back slash like `\'`
- The length of BINARY can be up to 16,374(data column is 65,517 and tag column is 16,382 since version 3.0.5.0) bytes. The string value must be quoted with single quotes. You must specify a length in bytes for a BINARY value, for example binary(20) for up to twenty single-byte characters. If the data exceeds the specified length, an error will occur. The literal single quote inside the string must be preceded with back slash like `\'`
- Numeric values in SQL statements will be determined as integer or float type according to whether there is decimal point or whether scientific notation is used, so attention must be paid to avoid overflow. For example, 9999999999999999999 will be considered as overflow because it exceeds the upper limit of long integer, but 9999999999999999999.0 will be considered as a legal float number.
:::

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@ -45,7 +45,7 @@ table_option: {
1. The first column of a table MUST be of type TIMESTAMP. It is automatically set as the primary key.
2. The maximum length of the table name is 192 bytes.
3. The maximum length of each row is 48k bytes, please note that the extra 2 bytes used by each BINARY/NCHAR column are also counted.
3. The maximum length of each row is 48k(64k since version 3.0.5.0) bytes, please note that the extra 2 bytes used by each BINARY/NCHAR column are also counted.
4. The name of the subtable can only consist of characters from the English alphabet, digits and underscore. Table names can't start with a digit. Table names are case insensitive.
5. The maximum length in bytes must be specified when using BINARY or NCHAR types.
6. Escape character "\`" can be used to avoid the conflict between table names and reserved keywords, above rules will be bypassed when using escape character on table names, but the upper limit for the name length is still valid. The table names specified using escape character are case sensitive.

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@ -55,7 +55,7 @@ window_clause: {
| INTERVAL(interval_val [, interval_offset]) [SLIDING (sliding_val)] [WATERMARK(watermark_val)] [FILL(fill_mod_and_val)]
interp_clause:
RANGE(ts_val, ts_val) EVERY(every_val) FILL(fill_mod_and_val)
RANGE(ts_val [, ts_val]) EVERY(every_val) FILL(fill_mod_and_val)
partition_by_clause:
PARTITION BY expr [, expr] ...

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@ -889,9 +889,10 @@ ignore_null_values: {
- `INTERP` is used to get the value that matches the specified time slice from a column. If no such value exists an interpolation value will be returned based on `FILL` parameter.
- The input data of `INTERP` is the value of the specified column and a `where` clause can be used to filter the original data. If no `where` condition is specified then all original data is the input.
- `INTERP` must be used along with `RANGE`, `EVERY`, `FILL` keywords.
- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1 <= timestamp2. timestamp1 is the starting point of the output time range and must be specified. timestamp2 is the ending point of the output time range and must be specified.
- The output time range of `INTERP` is specified by `RANGE(timestamp1,timestamp2)` parameter, with timestamp1 <= timestamp2. timestamp1 is the starting point of the output time range. timestamp2 is the ending point of the output time range.
- The number of rows in the result set of `INTERP` is determined by the parameter `EVERY(time_unit)`. Starting from timestamp1, one interpolation is performed for every time interval specified `time_unit` parameter. The parameter `time_unit` must be an integer, with no quotes, with a time unit of: a(millisecond)), s(second), m(minute), h(hour), d(day), or w(week). For example, `EVERY(500a)` will interpolate every 500 milliseconds.
- Interpolation is performed based on `FILL` parameter. For more information about FILL clause, see [FILL Clause](../distinguished/#fill-clause).
- When only one timestamp value is specified in `RANGE` clause, `INTERP` is used to generate interpolation at this point in time. In this case, `EVERY` clause can be omitted. For example, SELECT INTERP(col) FROM tb RANGE('2023-01-01 00:00:00') FILL(linear).
- `INTERP` can be applied to supertable by interpolating primary key sorted data of all its childtables. It can also be used with `partition by tbname` when applied to supertable to generate interpolation on each single timeline.
- Pseudocolumn `_irowts` can be used along with `INTERP` to return the timestamps associated with interpolation points(support after version 3.0.2.0).
- Pseudocolumn `_isfilled` can be used along with `INTERP` to indicate whether the results are original records or data points generated by interpolation algorithm(support after version 3.0.3.0).

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@ -26,7 +26,7 @@ The following characters cannot occur in a password: single quotation marks ('),
- Maximum length of database name is 64 bytes
- Maximum length of table name is 192 bytes, excluding the database name prefix and the separator.
- Maximum length of each data row is 48K bytes. Note that the upper limit includes the extra 2 bytes consumed by each column of BINARY/NCHAR type.
- Maximum length of each data row is 48K(64K since version 3.0.5.0) bytes. Note that the upper limit includes the extra 2 bytes consumed by each column of BINARY/NCHAR type.
- The maximum length of a column name is 64 bytes.
- Maximum number of columns is 4096. There must be at least 2 columns, and the first column must be timestamp.
- The maximum length of a tag name is 64 bytes

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@ -32,25 +32,22 @@ TDengine's JDBC driver implementation is as consistent as possible with the rela
Native connections are supported on the same platforms as the TDengine client driver.
REST connection supports all platforms that can run Java.
## Version support
Please refer to [version support list](/reference/connector#version-support)
## Recent update logs
| taos-jdbcdriver version | major changes |
| :---------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------: |
| 3.2.1 | JDBC REST connection supports schemaless/prepareStatement over WebSocket |
| 3.2.0 | This version has been deprecated |
| 3.1.0 | JDBC REST connection supports subscription over WebSocket |
| 3.0.1 - 3.0.4 | fix the resultSet data is parsed incorrectly sometimes. 3.0.1 is compiled on JDK 11, you are advised to use other version in the JDK 8 environment |
| 3.0.0 | Support for TDengine 3.0 |
| 2.0.42 | fix wasNull interface return value in WebSocket connection |
| 2.0.41 | fix decode method of username and password in REST connection |
| 2.0.39 - 2.0.40 | Add REST connection/request timeout parameters |
| 2.0.38 | JDBC REST connections add bulk pull function |
| 2.0.37 | Support json tags |
| 2.0.36 | Support schemaless writing |
| taos-jdbcdriver version | major changes | TDengine version |
| :---------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------: | :--------------: |
| 3.2.1 | subscription add seek function | 3.0.5.0 or later |
| 3.2.1 | JDBC REST connection supports schemaless/prepareStatement over WebSocket | 3.0.3.0 or later |
| 3.2.0 | This version has been deprecated | - |
| 3.1.0 | JDBC REST connection supports subscription over WebSocket | - |
| 3.0.1 - 3.0.4 | fix the resultSet data is parsed incorrectly sometimes. 3.0.1 is compiled on JDK 11, you are advised to use other version in the JDK 8 environment | - |
| 3.0.0 | Support for TDengine 3.0 | 3.0.0.0 or later |
| 2.0.42 | fix wasNull interface return value in WebSocket connection | - |
| 2.0.41 | fix decode method of username and password in REST connection | - |
| 2.0.39 - 2.0.40 | Add REST connection/request timeout parameters | - |
| 2.0.38 | JDBC REST connections add bulk pull function | - |
| 2.0.37 | Support json tags | - |
| 2.0.36 | Support schemaless writing | - |
**Note**: adding `batchfetch` to the REST connection and setting it to true will enable the WebSocket connection.
@ -102,6 +99,8 @@ For specific error codes, please refer to.
| 0x2319 | user is required | The user name information is missing when creating the connection |
| 0x231a | password is required | Password information is missing when creating a connection |
| 0x231c | httpEntity is null, sql: | Execution exception occurred during the REST connection |
| 0x231d | can't create connection with server within | Increase the connection time by adding the httpConnectTimeout parameter, or check the connection to the taos adapter. |
| 0x231e | failed to complete the task within the specified time | Increase the execution time by adding the messageWaitTimeout parameter, or check the connection to the taos adapter. |
| 0x2350 | unknown error | Unknown exception, please return to the developer on github. |
| 0x2352 | Unsupported encoding | An unsupported character encoding set is specified under the native Connection. |
| 0x2353 | internal error of database, please see taoslog for more details | An error occurs when the prepare statement is executed on the native connection. Check the taos log to locate the fault. |
@ -117,8 +116,8 @@ For specific error codes, please refer to.
| 0x2376 | failed to set consumer topic, topic name is empty | During data subscription creation, the subscription topic name is empty. Check that the specified topic name is correct. |
| 0x2377 | consumer reference has been destroyed | The subscription data transfer channel has been closed. Please check the connection to TDengine. |
| 0x2378 | consumer create error | Failed to create a data subscription. Check the taos log according to the error message to locate the fault. |
| - | can't create connection with server within | Increase the connection time by adding the httpConnectTimeout parameter, or check the connection to the taos adapter. |
| - | failed to complete the task within the specified time | Increase the execution time by adding the messageWaitTimeout parameter, or check the connection to the taos adapter. |
| 0x2379 | seek offset must not be a negative number | The seek interface parameter cannot be negative. Use the correct parameter |
| 0x237a | vGroup not found in result set | subscription is not bound to the VGroup due to the rebalance mechanism |
- [TDengine Java Connector](https://github.com/taosdata/taos-connector-jdbc/blob/main/src/main/java/com/taosdata/jdbc/TSDBErrorNumbers.java)
<!-- - [TDengine_ERROR_CODE](../error-code) -->
@ -169,7 +168,7 @@ Add following dependency in the `pom.xml` file of your Maven project:
<dependency>
<groupId>com.taosdata.jdbc</groupId>
<artifactId>taos-jdbcdriver</artifactId>
<version>3.2.1</version>
<version>3.2.2</version>
</dependency>
```
@ -913,14 +912,15 @@ public class SchemalessWsTest {
public static void main(String[] args) throws SQLException {
final String url = "jdbc:TAOS-RS://" + host + ":6041/?user=root&password=taosdata&batchfetch=true";
Connection connection = DriverManager.getConnection(url);
try(Connection connection = DriverManager.getConnection(url)){
init(connection);
SchemalessWriter writer = new SchemalessWriter(connection, "test_ws_schemaless");
try(SchemalessWriter writer = new SchemalessWriter(connection, "test_ws_schemaless")){
writer.write(lineDemo, SchemalessProtocolType.LINE, SchemalessTimestampType.NANO_SECONDS);
writer.write(telnetDemo, SchemalessProtocolType.TELNET, SchemalessTimestampType.MILLI_SECONDS);
writer.write(jsonDemo, SchemalessProtocolType.JSON, SchemalessTimestampType.SECONDS);
System.exit(0);
}
}
}
private static void init(Connection connection) throws SQLException {
@ -991,6 +991,17 @@ while(true) {
`poll` obtains one message each time it is run.
#### Assignment subscription Offset
```
long position(TopicPartition partition) throws SQLException;
Map<TopicPartition, Long> position(String topic) throws SQLException;
Map<TopicPartition, Long> beginningOffsets(String topic) throws SQLException;
Map<TopicPartition, Long> endOffsets(String topic) throws SQLException;
void seek(TopicPartition partition, long offset) throws SQLException;
```
#### Close subscriptions
```java
@ -1256,6 +1267,7 @@ The source code of the sample application is under `TDengine/examples/JDBC`:
- connectionPools: using taos-jdbcdriver in connection pools such as HikariCP, Druid, dbcp, c3p0, etc.
- SpringJdbcTemplate: using taos-jdbcdriver in Spring JdbcTemplate.
- mybatisplus-demo: using taos-jdbcdriver in Springboot + Mybatis.
- consumer-demo: consumer TDengine data example, the consumption rate can be controlled by parameters.
[JDBC example](https://github.com/taosdata/TDengine/tree/3.0/examples/JDBC)

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@ -29,7 +29,7 @@ REST connections are supported on all platforms that can run Go.
## Version support
Please refer to [version support list](/reference/connector#version-support)
Please refer to [version support list](https://github.com/taosdata/driver-go#remind)
## Supported features
@ -379,6 +379,15 @@ Note: `tmq.TopicPartition` is reserved for compatibility purpose
Commit information.
* `func (c *Consumer) Assignment() (partitions []tmq.TopicPartition, err error)`
Get Assignment(TDengine >= 3.0.5.0 and driver-go >= v3.5.0 are required).
* `func (c *Consumer) Seek(partition tmq.TopicPartition, ignoredTimeoutMs int) error`
Note: `ignoredTimeoutMs` is reserved for compatibility purpose
Seek offset(TDengine >= 3.0.5.0 and driver-go >= v3.5.0 are required).
* `func (c *Consumer) Unsubscribe() error`
Unsubscribe.
@ -468,6 +477,15 @@ Note: `tmq.TopicPartition` is reserved for compatibility purpose
Commit information.
* `func (c *Consumer) Assignment() (partitions []tmq.TopicPartition, err error)`
Get Assignment(TDengine >= 3.0.5.0 and driver-go >= v3.5.0 are required).
* `func (c *Consumer) Seek(partition tmq.TopicPartition, ignoredTimeoutMs int) error`
Note: `ignoredTimeoutMs` is reserved for compatibility purpose
Seek offset(TDengine >= 3.0.5.0 and driver-go >= v3.5.0 are required).
* `func (c *Consumer) Unsubscribe() error`
Unsubscribe.
@ -476,7 +494,7 @@ Unsubscribe.
Close consumer.
For a complete example see [GitHub sample file](https://github.com/taosdata/driver-go/blob/3.0/examples/tmqoverws/main.go)
For a complete example see [GitHub sample file](https://github.com/taosdata/driver-go/blob/main/examples/tmqoverws/main.go)
### parameter binding via WebSocket
@ -524,7 +542,7 @@ For a complete example see [GitHub sample file](https://github.com/taosdata/driv
Closes the parameter binding.
For a complete example see [GitHub sample file](https://github.com/taosdata/driver-go/blob/3.0/examples/stmtoverws/main.go)
For a complete example see [GitHub sample file](https://github.com/taosdata/driver-go/blob/main/examples/stmtoverws/main.go)
## API Reference

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@ -27,9 +27,14 @@ The source code for the Rust connectors is located on [GitHub](https://github.co
Native connections are supported on the same platforms as the TDengine client driver.
Websocket connections are supported on all platforms that can run Go.
## Version support
## Version history
Please refer to [version support list](/reference/connector#version-support)
| connector-rust version | TDengine version | major features |
| :----------------: | :--------------: | :--------------------------------------------------: |
| v0.8.10 | 3.0.5.0 or later | TMQ: Get consuming progress and seek offset to consume. |
| v0.8.0 | 3.0.4.0 | Support schemaless insert. |
| v0.7.6 | 3.0.3.0 | Support req_id in query. |
| v0.6.0 | 3.0.0.0 | Base features. |
The Rust Connector is still under rapid development and is not guaranteed to be backward compatible before 1.0. We recommend using TDengine version 3.0 or higher to avoid known issues.
@ -499,6 +504,22 @@ The TMQ is of [futures::Stream](https://docs.rs/futures/latest/futures/stream/in
}
```
Get assignments
Version requirements connector-rust >= v0.8.8, TDengine >= 3.0.5.0
```rust
let assignments = consumer.assignments().await.unwrap();
```
Seek offset
Version requirements connector-rust >= v0.8.8, TDengine >= 3.0.5.0
```rust
consumer.offset_seek(topic, vgroup_id, offset).await;
```
Unsubscribe:
```rust
@ -513,7 +534,7 @@ The following parameters can be configured for the TMQ DSN. Only `group.id` is m
- `enable.auto.commit`: Automatically commits. This can be enabled when data consistency is not essential.
- `auto.commit.interval.ms`: Interval for automatic commits.
For more information, see [GitHub sample file](https://github.com/taosdata/taos-connector-rust/blob/main/examples/subscribe.rs).
For more information, see [GitHub sample file](https://github.com/taosdata/TDengine/blob/3.0/docs/examples/rust/nativeexample/examples/subscribe_demo.rs).
For information about other structure APIs, see the [Rust documentation](https://docs.rs/taos).

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@ -453,6 +453,170 @@ As the way to connect introduced above but add `req_id` argument.
</TabItem>
</Tabs>
### Subscription
Connector support data subscription. For more information about subscroption, please refer to [Data Subscription](../../../develop/tmq/).
<Tabs defaultValue="native">
<TabItem value="native" label="native connection">
The `consumer` in the connector contains the subscription api.
#### Create Consumer
The syntax for creating a consumer is `consumer = Consumer(configs)`. For more subscription api parameters, please refer to [Data Subscription](../../../develop/tmq/).
```python
from taos.tmq import Consumer
consumer = Consumer({"group.id": "local", "td.connect.ip": "127.0.0.1"})
```
#### Subscribe topics
The `subscribe` function is used to subscribe to a list of topics.
```python
consumer.subscribe(['topic1', 'topic2'])
```
#### Consume
The `poll` function is used to consume data in tmq. The parameter of the `poll` function is a value of type float representing the timeout in seconds. It returns a `Message` before timing out, or `None` on timing out. You have to handle error messages in response data.
```python
while True:
res = consumer.poll(1)
if not res:
continue
err = res.error()
if err is not None:
raise err
val = res.value()
for block in val:
print(block.fetchall())
```
#### assignment
The `assignment` function is used to get the assignment of the topic.
```python
assignments = consumer.assignment()
```
#### Seek
The `seek` function is used to reset the assignment of the topic.
```python
tp = TopicPartition(topic='topic1', partition=0, offset=0)
consumer.seek(tp)
```
#### After consuming data
You should unsubscribe to the topics and close the consumer after consuming.
```python
consumer.unsubscribe()
consumer.close()
```
#### Tmq subscription example
```python
{{#include docs/examples/python/tmq_example.py}}
```
#### assignment and seek example
```python
{{#include docs/examples/python/tmq_assignment_example.py:taos_get_assignment_and_seek_demo}}
```
</TabItem>
<TabItem value="websocket" label="WebSocket connection">
In addition to native connections, the connector also supports subscriptions via websockets.
#### Create Consumer
The syntax for creating a consumer is "consumer = consumer = Consumer(conf=configs)". You need to specify that the `td.connect.websocket.scheme` parameter is set to "ws" in the configuration. For more subscription api parameters, please refer to [Data Subscription](../../../develop/tmq/#create-a-consumer).
```python
import taosws
consumer = taosws.(conf={"group.id": "local", "td.connect.websocket.scheme": "ws"})
```
#### subscribe topics
The `subscribe` function is used to subscribe to a list of topics.
```python
consumer.subscribe(['topic1', 'topic2'])
```
#### Consume
The `poll` function is used to consume data in tmq. The parameter of the `poll` function is a value of type float representing the timeout in seconds. It returns a `Message` before timing out, or `None` on timing out. You have to handle error messages in response data.
```python
while True:
res = consumer.poll(timeout=1.0)
if not res:
continue
err = res.error()
if err is not None:
raise err
for block in message:
for row in block:
print(row)
```
#### assignment
The `assignment` function is used to get the assignment of the topic.
```python
assignments = consumer.assignment()
```
#### Seek
The `seek` function is used to reset the assignment of the topic.
```python
consumer.seek(topic='topic1', partition=0, offset=0)
```
#### After consuming data
You should unsubscribe to the topics and close the consumer after consuming.
```python
consumer.unsubscribe()
consumer.close()
```
#### Subscription example
```python
{{#include docs/examples/python/tmq_websocket_example.py}}
```
#### Assignment and seek example
```python
{{#include docs/examples/python/tmq_websocket_assgnment_example.py:taosws_get_assignment_and_seek_demo}}
```
</TabItem>
</Tabs>
### Schemaless Insert
Connector support schemaless insert.
@ -507,7 +671,8 @@ Insert with req_id argument
| Example program links | Example program content |
| ------------------------------------------------------------------------------------------------------------- | ------------------- ---- |
| [bind_multi.py](https://github.com/taosdata/taos-connector-python/blob/main/examples/bind-multi.py) | parameter binding, bind multiple rows at once |
| [bind_multi.py](https://github.com/taosdata/taos-connector-python/blob/main/examples/bind-multi.py) | parameter binding,
bind multiple rows at once |
| [bind_row.py](https://github.com/taosdata/taos-connector-python/blob/main/examples/bind-row.py) | bind_row.py
| [insert_lines.py](https://github.com/taosdata/taos-connector-python/blob/main/examples/insert-lines.py) | InfluxDB line protocol writing |
| [json_tag.py](https://github.com/taosdata/taos-connector-python/blob/main/examples/json-tag.py) | Use JSON type tags |

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@ -5,7 +5,7 @@ description: This document describes the configuration parameters for the TDengi
## Configuration File on Server Side
On the server side, the actual service of TDengine is provided by an executable `taosd` whose parameters can be configured in file `taos.cfg` to meet the requirements of different use cases. The default location of `taos.cfg` is `/etc/taos`, but can be changed by using `-c` parameter on the CLI of `taosd`. For example, the configuration file can be put under `/home/user` and used like below
On the server side, the actual service of TDengine is provided by an executable `taosd` whose parameters can be configured in file `taos.cfg` to meet the requirements of different use cases. The default location of `taos.cfg` is `/etc/taos` on Linux system, it's located under `C:\TDengine` on Windows system. The location of configuration file can be specified by using `-c` parameter on the CLI of `taosd`. For example, on Linux system the configuration file can be put under `/home/user` and used like below
```
taosd -c /home/user

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@ -90,7 +90,7 @@ You can configure smlChildTableName in taos.cfg to specify table names, for exam
Note: TDengine 3.0.3.0 and later automatically detect whether order is consistent. This parameter is no longer used.
:::tip
All processing logic of schemaless will still follow TDengine's underlying restrictions on data structures, such as the total length of each row of data cannot exceed 48 KB and the total length of a tag value cannot exceed 16 KB. See [TDengine SQL Boundary Limits](/taos-sql/limit) for specific constraints in this area.
All processing logic of schemaless will still follow TDengine's underlying restrictions on data structures, such as the total length of each row of data cannot exceed 48 KB(64 KB since version 3.0.5.0) and the total length of a tag value cannot exceed 16 KB. See [TDengine SQL Boundary Limits](/taos-sql/limit) for specific constraints in this area.
:::
## Time resolution recognition

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@ -16,165 +16,79 @@ TDengine Source Connector is used to read data from TDengine in real-time and se
![TDengine Database Kafka Connector -- streaming integration with kafka connect](kafka/streaming-integration-with-kafka-connect.webp)
## What is Confluent?
[Confluent](https://www.confluent.io/) adds many extensions to Kafka. include:
1. Schema Registry
2. REST Proxy
3. Non-Java Clients
4. Many packaged Kafka Connect plugins
5. GUI for managing and monitoring Kafka - Confluent Control Center
Some of these extensions are available in the community version of Confluent. Some are only available in the enterprise version.
![TDengine Database Kafka Connector -- Confluent platform](kafka/confluentPlatform.webp)
Confluent Enterprise Edition provides the `confluent` command-line tool to manage various components.
## Prerequisites
1. Linux operating system
2. Java 8 and Maven installed
3. Git is installed
3. Git/curl/vi is installed
4. TDengine is installed and started. If not, please refer to [Installation and Uninstallation](/operation/pkg-install)
## Install Confluent
Confluent provides two installation methods: Docker and binary packages. This article only introduces binary package installation.
## Install Kafka
Execute in any directory:
````
curl -O http://packages.confluent.io/archive/7.1/confluent-7.1.1.tar.gz
tar xzf confluent-7.1.1.tar.gz -C /opt/
````
```shell
curl -O https://downloads.apache.org/kafka/3.4.0/kafka_2.13-3.4.0.tgz
tar xzf kafka_2.13-3.4.0.tgz -C /opt/
ln -s /opt/kafka_2.13-3.4.0 /opt/kafka
```
Then you need to add the `$CONFLUENT_HOME/bin` directory to the PATH.
Then you need to add the `$KAFKA_HOME/bin` directory to the PATH.
```title=".profile"
export CONFLUENT_HOME=/opt/confluent-7.1.1
export PATH=$CONFLUENT_HOME/bin:$PATH
export KAFKA_HOME=/opt/kafka
export PATH=$PATH:$KAFKA_HOME/bin
```
Users can append the above script to the current user's profile file (~/.profile or ~/.bash_profile)
After the installation is complete, you can enter `confluent version` for simple verification:
```
# confluent version
confluent - Confluent CLI
Version: v2.6.1
Git Ref: 6d920590
Build Date: 2022-02-18T06:14:21Z
Go Version: go1.17.6 (linux/amd64)
Development: false
```
## Install TDengine Connector plugin
### Install from source code
```
```shell
git clone --branch 3.0 https://github.com/taosdata/kafka-connect-tdengine.git
cd kafka-connect-tdengine
mvn clean package
unzip -d $CONFLUENT_HOME/share/java/ target/components/packages/taosdata-kafka-connect-tdengine-*.zip
mvn clean package -Dmaven.test.skip=true
unzip -d $KAFKA_HOME/components/ target/components/packages/taosdata-kafka-connect-tdengine-*.zip
```
The above script first clones the project source code and then compiles and packages it with Maven. After the package is complete, the zip package of the plugin is generated in the `target/components/packages/` directory. Unzip this zip package to plugin path. We used `$CONFLUENT_HOME/share/java/` above because it's a build in plugin path.
The above script first clones the project source code and then compiles and packages it with Maven. After the package is complete, the zip package of the plugin is generated in the `target/components/packages/` directory. Unzip this zip package to plugin path. We used `$KAFKA_HOME/components/` above because it's a build in plugin path.
### Install with confluent-hub
### Add configuration file
[Confluent Hub](https://www.confluent.io/hub) provides a service to download Kafka Connect plugins. After TDengine Kafka Connector is published to Confluent Hub, it can be installed using the command tool `confluent-hub`.
**TDengine Kafka Connector is currently not officially released and cannot be installed in this way**.
add kafka-connect-tdengine plugin path to `plugin.path` in `$KAFKA_HOME/config/connect-distributed.properties`.
## Start Confluent
```
confluent local services start
```properties
plugin.path=/usr/share/java,/opt/kafka/components
```
:::note
Be sure to install the plugin before starting Confluent. Otherwise, Kafka Connect will fail to discover the plugins.
:::
## Start Kafka Services
:::tip
If a component fails to start, try clearing the data and restarting. The data directory will be printed to the console at startup, e.g.:
Use command bellow to start all services:
```title="Console output log" {1}
Using CONFLUENT_CURRENT: /tmp/confluent.106668
Starting ZooKeeper
ZooKeeper is [UP]
Starting Kafka
Kafka is [UP]
Starting Schema Registry
Schema Registry is [UP]
Starting Kafka REST
Kafka REST is [UP]
Starting Connect
Connect is [UP]
Starting ksqlDB Server
ksqlDB Server is [UP]
Starting Control Center
Control Center is [UP]
```
```shell
zookeeper-server-start.sh -daemon $KAFKA_HOME/config/zookeeper.properties
To clear data, execute `rm -rf /tmp/confluent.106668`.
:::
kafka-server-start.sh -daemon $KAFKA_HOME/config/server.properties
### Check Confluent Services Status
connect-distributed.sh -daemon $KAFKA_HOME/config/connect-distributed.properties
Use command bellow to check the status of all service:
```
confluent local services status
```
The expected output is:
```
Connect is [UP]
Control Center is [UP]
Kafka is [UP]
Kafka REST is [UP]
ksqlDB Server is [UP]
Schema Registry is [UP]
ZooKeeper is [UP]
```
### Check Successfully Loaded Plugin
After Kafka Connect was completely started, you can use bellow command to check if our plugins are installed successfully:
```
confluent local services connect plugin list
```shell
curl http://localhost:8083/connectors
```
The output should contains `TDengineSinkConnector` and `TDengineSourceConnector` as bellow:
The output as bellow:
```txt
[]
```
Available Connect Plugins:
[
{
"class": "com.taosdata.kafka.connect.sink.TDengineSinkConnector",
"type": "sink",
"version": "1.0.0"
},
{
"class": "com.taosdata.kafka.connect.source.TDengineSourceConnector",
"type": "source",
"version": "1.0.0"
},
......
```
If not, please check the log file of Kafka Connect. To view the log file path, please execute:
```
echo `cat /tmp/confluent.current`/connect/connect.stdout
```
It should produce a path like:`/tmp/confluent.104086/connect/connect.stdout`
Besides log file `connect.stdout` there is a file named `connect.properties`. At the end of this file you can see the effective `plugin.path` which is a series of paths joined by comma. If Kafka Connect not found our plugins, it's probably because the installed path is not included in `plugin.path`.
## The use of TDengine Sink Connector
@ -184,40 +98,47 @@ TDengine Sink Connector internally uses TDengine [modeless write interface](/ref
The following example synchronizes the data of the topic meters to the target database power. The data format is the InfluxDB Line protocol format.
### Add configuration file
### Add Sink Connector configuration file
```
```shell
mkdir ~/test
cd ~/test
vi sink-demo.properties
vi sink-demo.json
```
sink-demo.properties' content is following:
sink-demo.json' content is following:
```ini title="sink-demo.properties"
name=TDengineSinkConnector
connector.class=com.taosdata.kafka.connect.sink.TDengineSinkConnector
tasks.max=1
topics=meters
connection.url=jdbc:TAOS://127.0.0.1:6030
connection.user=root
connection.password=taosdata
connection.database=power
db.schemaless=line
data.precision=ns
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=org.apache.kafka.connect.storage.StringConverter
```json title="sink-demo.json"
{
"name": "TDengineSinkConnector",
"config": {
"connector.class":"com.taosdata.kafka.connect.sink.TDengineSinkConnector",
"tasks.max": "1",
"topics": "meters",
"connection.url": "jdbc:TAOS://127.0.0.1:6030",
"connection.user": "root",
"connection.password": "taosdata",
"connection.database": "power",
"db.schemaless": "line",
"data.precision": "ns",
"key.converter": "org.apache.kafka.connect.storage.StringConverter",
"value.converter": "org.apache.kafka.connect.storage.StringConverter",
"errors.tolerance": "all",
"errors.deadletterqueue.topic.name": "dead_letter_topic",
"errors.deadletterqueue.topic.replication.factor": 1
}
}
```
Key configuration instructions:
1. `topics=meters` and `connection.database=power` means to subscribe to the data of the topic meters and write to the database power.
2. `db.schemaless=line` means the data in the InfluxDB Line protocol format.
1. `"topics": "meters"` and `"connection.database": "power"` means to subscribe to the data of the topic meters and write to the database power.
2. `"db.schemaless": "line"` means the data in the InfluxDB Line protocol format.
### Create Connector instance
### Create Sink Connector instance
````
confluent local services connect connector load TDengineSinkConnector --config ./sink-demo.properties
````shell
curl -X POST -d @sink-demo.json http://localhost:8083/connectors -H "Content-Type: application/json"
````
If the above command is executed successfully, the output is as follows:
@ -237,7 +158,10 @@ If the above command is executed successfully, the output is as follows:
"tasks.max": "1",
"topics": "meters",
"value.converter": "org.apache.kafka.connect.storage.StringConverter",
"name": "TDengineSinkConnector"
"name": "TDengineSinkConnector",
"errors.tolerance": "all",
"errors.deadletterqueue.topic.name": "dead_letter_topic",
"errors.deadletterqueue.topic.replication.factor": "1",
},
"tasks": [],
"type": "sink"
@ -257,8 +181,8 @@ meters,location=California.LoSangeles,groupid=3 current=11.3,voltage=221,phase=0
Use kafka-console-producer to write test data to the topic `meters`.
```
cat test-data.txt | kafka-console-producer --broker-list localhost:9092 --topic meters
```shell
cat test-data.txt | kafka-console-producer.sh --broker-list localhost:9092 --topic meters
```
:::note
@ -269,12 +193,12 @@ TDengine Sink Connector will automatically create the database if the target dat
Use the TDengine CLI to verify that the sync was successful.
```
```sql
taos> use power;
Database changed.
taos> select * from meters;
ts | current | voltage | phase | groupid | location |
_ts | current | voltage | phase | groupid | location |
===============================================================================================================================================================
2022-03-28 09:56:51.249000000 | 11.800000000 | 221.000000000 | 0.280000000 | 2 | California.LosAngeles |
2022-03-28 09:56:51.250000000 | 13.400000000 | 223.000000000 | 0.290000000 | 2 | California.LosAngeles |
@ -291,31 +215,39 @@ The role of the TDengine Source Connector is to push all the data of a specific
TDengine Source Connector will convert the data in TDengine data table into [InfluxDB Line protocol format](/develop/insert-data/influxdb-line/) or [OpenTSDB JSON protocol format](/develop/insert-data/opentsdb-json ) and then write to Kafka.
The following sample program synchronizes the data in the database test to the topic tdengine-source-test.
The following sample program synchronizes the data in the database test to the topic tdengine-test-meters.
### Add configuration file
### Add Source Connector configuration file
```
vi source-demo.properties
```shell
vi source-demo.json
```
Input following content:
```ini title="source-demo.properties"
name=TDengineSourceConnector
connector.class=com.taosdata.kafka.connect.source.TDengineSourceConnector
tasks.max=1
connection.url=jdbc:TAOS://127.0.0.1:6030
connection.username=root
connection.password=taosdata
connection.database=test
connection.attempts=3
connection.backoff.ms=5000
topic.prefix=tdengine-source-
poll.interval.ms=1000
fetch.max.rows=100
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=org.apache.kafka.connect.storage.StringConverter
```json title="source-demo.json"
{
"name":"TDengineSourceConnector",
"config":{
"connector.class": "com.taosdata.kafka.connect.source.TDengineSourceConnector",
"tasks.max": 1,
"connection.url": "jdbc:TAOS://127.0.0.1:6030",
"connection.username": "root",
"connection.password": "taosdata",
"connection.database": "test",
"connection.attempts": 3,
"connection.backoff.ms": 5000,
"topic.prefix": "tdengine",
"topic.delimiter": "-",
"poll.interval.ms": 1000,
"fetch.max.rows": 100,
"topic.per.stable": true,
"topic.ignore.db": false,
"out.format": "line",
"key.converter": "org.apache.kafka.connect.storage.StringConverter",
"value.converter": "org.apache.kafka.connect.storage.StringConverter"
}
}
```
### Prepare test data
@ -340,40 +272,40 @@ INSERT INTO d1001 USING meters TAGS('California.SanFrancisco', 2) VALUES('2018-1
Use TDengine CLI to execute SQL script
```
```shell
taos -f prepare-source-data.sql
```
### Create Connector instance
````
confluent local services connect connector load TDengineSourceConnector --config source-demo.properties
````
```shell
curl -X POST -d @source-demo.json http://localhost:8083/connectors -H "Content-Type: application/json"
```
### View topic data
Use the kafka-console-consumer command-line tool to monitor data in the topic tdengine-source-test. In the beginning, all historical data will be output. After inserting two new data into TDengine, kafka-console-consumer immediately outputs the two new data. The output is in InfluxDB line protocol format.
Use the kafka-console-consumer command-line tool to monitor data in the topic tdengine-test-meters. In the beginning, all historical data will be output. After inserting two new data into TDengine, kafka-console-consumer immediately outputs the two new data. The output is in InfluxDB line protocol format.
````
kafka-console-consumer --bootstrap-server localhost:9092 --from-beginning --topic tdengine-source-test
````shell
kafka-console-consumer.sh --bootstrap-server localhost:9092 --from-beginning --topic tdengine-test-meters
````
output:
````
```txt
......
meters,location="California.SanFrancisco",groupid=2i32 current=10.3f32,voltage=219i32,phase=0.31f32 1538548685000000000
meters,location="California.SanFrancisco",groupid=2i32 current=12.6f32,voltage=218i32,phase=0.33f32 1538548695000000000
......
````
```
All historical data is displayed. Switch to the TDengine CLI and insert two new pieces of data:
````
```sql
USE test;
INSERT INTO d1001 VALUES (now, 13.3, 229, 0.38);
INSERT INTO d1002 VALUES (now, 16.3, 233, 0.22);
````
```
Switch back to kafka-console-consumer, and the command line window has printed out the two pieces of data just inserted.
@ -383,16 +315,16 @@ After testing, use the unload command to stop the loaded connector.
View currently active connectors:
````
confluent local services connect connector status
````
```shell
curl http://localhost:8083/connectors
```
You should now have two active connectors if you followed the previous steps. Use the following command to unload:
````
confluent local services connect connector unload TDengineSinkConnector
confluent local services connect connector unload TDengineSourceConnector
````
```shell
curl -X DELETE http://localhost:8083/connectors/TDengineSinkConnector
curl -X DELETE http://localhost:8083/connectors/TDengineSourceConnector
```
## Configuration reference
@ -427,22 +359,20 @@ The following configuration items apply to TDengine Sink Connector and TDengine
3. `timestamp.initial`: Data synchronization start time. The format is 'yyyy-MM-dd HH:mm:ss'. If it is not set, the data importing to Kafka will be started from the first/oldest row in the database.
4. `poll.interval.ms`: The time interval for checking newly created tables or removed tables, default value is 1000.
5. `fetch.max.rows`: The maximum number of rows retrieved when retrieving the database, default is 100.
6. `query.interval.ms`: The time range of reading data from TDengine each time, its unit is millisecond. It should be adjusted according to the data flow in rate, the default value is 1000.
7. `topic.per.stable`: If it's set to true, it means one super table in TDengine corresponds to a topic in Kafka, the topic naming rule is `<topic.prefix>-<connection.database>-<stable.name>`; if it's set to false, it means the whole DB corresponds to a topic in Kafka, the topic naming rule is `<topic.prefix>-<connection.database>`.
6. `query.interval.ms`: The time range of reading data from TDengine each time, its unit is millisecond. It should be adjusted according to the data flow in rate, the default value is 0, this means to get all the data to the latest time.
7. `out.format`: Result output format. `line` indicates that the output format is InfluxDB line protocol format, `json` indicates that the output format is json. The default is line.
8. `topic.per.stable`: If it's set to true, it means one super table in TDengine corresponds to a topic in Kafka, the topic naming rule is `<topic.prefix><topic.delimiter><connection.database><topic.delimiter><stable.name>`; if it's set to false, it means the whole DB corresponds to a topic in Kafka, the topic naming rule is `<topic.prefix><topic.delimiter><connection.database>`.
9. `topic.ignore.db`: Whether the topic naming rule contains the database name: true indicates that the rule is `<topic.prefix><topic.delimiter><stable.name>`, false indicates that the rule is `<topic.prefix><topic.delimiter><connection.database><topic.delimiter><stable.name>`, and the default is false. Does not take effect when `topic.per.stable` is set to false.
10. `topic.delimiter`: topic name delimiterdefault is `-`
## Other notes
1. To install plugin to a customized location, refer to https://docs.confluent.io/home/connect/self-managed/install.html#install-connector-manually.
2. To use Kafka Connect without confluent, refer to https://kafka.apache.org/documentation/#connect.
1. To use Kafka Connect, refer to <https://kafka.apache.org/documentation/#connect>.
## Feedback
https://github.com/taosdata/kafka-connect-tdengine/issues
<https://github.com/taosdata/kafka-connect-tdengine/issues>
## Reference
1. https://www.confluent.io/what-is-apache-kafka
2. https://developer.confluent.io/learn-kafka/kafka-connect/intro
3. https://docs.confluent.io/platform/current/platform.html
1. For more information, see <https://kafka.apache.org/documentation/>

View File

@ -10,6 +10,10 @@ For TDengine 2.x installation packages by version, please visit [here](https://w
import Release from "/components/ReleaseV3";
## 3.0.5.0
<Release type="tdengine" version="3.0.5.0" />
## 3.0.4.2
<Release type="tdengine" version="3.0.4.2" />

View File

@ -10,6 +10,10 @@ For other historical version installers, please visit [here](https://www.taosdat
import Release from "/components/ReleaseV3";
## 2.5.1
<Release type="tools" version="2.5.1" />
## 2.5.0
<Release type="tools" version="2.5.0" />

View File

@ -0,0 +1,58 @@
import taos
from taos.tmq import Consumer
import taosws
def prepare():
conn = taos.connect()
conn.execute("drop topic if exists tmq_assignment_demo_topic")
conn.execute("drop database if exists tmq_assignment_demo_db")
conn.execute("create database if not exists tmq_assignment_demo_db wal_retention_period 3600")
conn.select_db("tmq_assignment_demo_db")
conn.execute(
"create table if not exists tmq_assignment_demo_table (ts timestamp, c1 int, c2 float, c3 binary(10)) tags(t1 int)")
conn.execute(
"create topic if not exists tmq_assignment_demo_topic as select ts, c1, c2, c3 from tmq_assignment_demo_table")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now-2s, 1, 1.0, 'tmq test')")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now-1s, 2, 2.0, 'tmq test')")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now, 3, 3.0, 'tmq test')")
def taos_get_assignment_and_seek_demo():
prepare()
consumer = Consumer(
{
"group.id": "0",
# should disable snapshot,
# otherwise it will cause invalid params error
"experimental.snapshot.enable": "false",
}
)
consumer.subscribe(["tmq_assignment_demo_topic"])
# get topic assignment
assignments = consumer.assignment()
for assignment in assignments:
print(assignment)
# poll
consumer.poll(1)
consumer.poll(1)
# get topic assignment again
after_pool_assignments = consumer.assignment()
for assignment in after_pool_assignments:
print(assignment)
# seek to the beginning
for assignment in assignments:
consumer.seek(assignment)
# now the assignment should be the same as before poll
assignments = consumer.assignment()
for assignment in assignments:
print(assignment)
if __name__ == '__main__':
taosws_get_assignment_and_seek_demo()

View File

@ -0,0 +1,57 @@
import taos
import taosws
def prepare():
conn = taos.connect()
conn.execute("drop topic if exists tmq_assignment_demo_topic")
conn.execute("drop database if exists tmq_assignment_demo_db")
conn.execute("create database if not exists tmq_assignment_demo_db wal_retention_period 3600")
conn.select_db("tmq_assignment_demo_db")
conn.execute(
"create table if not exists tmq_assignment_demo_table (ts timestamp, c1 int, c2 float, c3 binary(10)) tags(t1 int)")
conn.execute(
"create topic if not exists tmq_assignment_demo_topic as select ts, c1, c2, c3 from tmq_assignment_demo_table")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now-2s, 1, 1.0, 'tmq test')")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now-1s, 2, 2.0, 'tmq test')")
conn.execute("insert into d0 using tmq_assignment_demo_table tags (0) values (now, 3, 3.0, 'tmq test')")
def taosws_get_assignment_and_seek_demo():
prepare()
consumer = taosws.Consumer(conf={
"td.connect.websocket.scheme": "ws",
# should disable snapshot,
# otherwise it will cause invalid params error
"experimental.snapshot.enable": "false",
"group.id": "0",
})
consumer.subscribe(["tmq_assignment_demo_topic"])
# get topic assignment
assignments = consumer.assignment()
for assignment in assignments:
print(assignment.to_string())
# poll
consumer.poll(1)
consumer.poll(1)
# get topic assignment again
after_poll_assignments = consumer.assignment()
for assignment in after_poll_assignments:
print(assignment.to_string())
# seek to the beginning
for assignment in assignments:
for a in assignment.assignments():
consumer.seek(assignment.topic(), a.vg_id(), a.offset())
# now the assignment should be the same as before poll
assignments = consumer.assignment()
for assignment in assignments:
print(assignment.to_string())
if __name__ == '__main__':
taosws_get_assignment_and_seek_demo()

View File

@ -105,6 +105,12 @@ class Consumer:
def poll(self, timeout: float = 1.0):
pass
def assignment(self):
pass
def seek(self, partition):
pass
def close(self):
pass

View File

@ -32,25 +32,22 @@ TDengine 的 JDBC 驱动实现尽可能与关系型数据库驱动保持一致
原生连接支持的平台和 TDengine 客户端驱动支持的平台一致。
REST 连接支持所有能运行 Java 的平台。
## 版本支持
## 版本历史
请参考[版本支持列表](../#版本支持)
## 最近更新记录
| taos-jdbcdriver 版本 | 主要变化 |
| :------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------: |
| 3.2.1 | 新增功能WebSocket 连接支持 schemaless 与 prepareStatement 写入。变更consumer poll 返回结果集为 ConsumerRecord可通过 value() 获取指定结果集数据。 |
| 3.2.0 | 存在连接问题,不推荐使用 |
| 3.1.0 | WebSocket 连接支持订阅功能 |
| 3.0.1 - 3.0.4 | 修复一些情况下结果集数据解析错误的问题。3.0.1 在 JDK 11 环境编译JDK 8 环境下建议使用其他版本 |
| 3.0.0 | 支持 TDengine 3.0 |
| 2.0.42 | 修在 WebSocket 连接中 wasNull 接口返回值 |
| 2.0.41 | 修正 REST 连接中用户名和密码转码方式 |
| 2.0.39 - 2.0.40 | 增加 REST 连接/请求 超时设置 |
| 2.0.38 | JDBC REST 连接增加批量拉取功能 |
| 2.0.37 | 增加对 json tag 支持 |
| 2.0.36 | 增加对 schemaless 写入支持 |
| taos-jdbcdriver 版本 | 主要变化 | TDengine 版本 |
| :------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------: |
| 3.2.2 | 新增功能:数据订阅支持 seek 功能。 | 3.0.5.0 及更高版本 |
| 3.2.1 | 新增功能WebSocket 连接支持 schemaless 与 prepareStatement 写入。变更consumer poll 返回结果集为 ConsumerRecord可通过 value() 获取指定结果集数据。 | 3.0.3.0 及更高版本 |
| 3.2.0 | 存在连接问题,不推荐使用 | - |
| 3.1.0 | WebSocket 连接支持订阅功能 | - |
| 3.0.1 - 3.0.4 | 修复一些情况下结果集数据解析错误的问题。3.0.1 在 JDK 11 环境编译JDK 8 环境下建议使用其他版本 | - |
| 3.0.0 | 支持 TDengine 3.0 | 3.0.0.0 及更高版本 |
| 2.0.42 | 修在 WebSocket 连接中 wasNull 接口返回值 | - |
| 2.0.41 | 修正 REST 连接中用户名和密码转码方式 | - |
| 2.0.39 - 2.0.40 | 增加 REST 连接/请求 超时设置 | - |
| 2.0.38 | JDBC REST 连接增加批量拉取功能 | - |
| 2.0.37 | 增加对 json tag 支持 | - |
| 2.0.36 | 增加对 schemaless 写入支持 | - |
**注**REST 连接中增加 `batchfetch` 参数并设置为 true将开启 WebSocket 连接。
@ -81,7 +78,7 @@ JDBC 连接器可能报错的错误码包括 4 种:
具体的错误码请参考:
| Error Code | Description | Suggested Actions |
| ---------- | --------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| ---------- | --------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| 0x2301 | connection already closed | 连接已经关闭,检查连接情况,或重新创建连接去执行相关指令。 |
| 0x2302 | this operation is NOT supported currently! | 当前使用接口不支持,可以更换其他连接方式。 |
| 0x2303 | invalid variables | 参数不合法,请检查相应接口规范,调整参数类型及大小。 |
@ -102,6 +99,8 @@ JDBC 连接器可能报错的错误码包括 4 种:
| 0x2319 | user is required | 创建连接时缺少用户名信息 |
| 0x231a | password is required | 创建连接时缺少密码信息 |
| 0x231c | httpEntity is null, sql: | REST 连接中执行出现异常 |
| 0x231d | can't create connection with server within | 通过增加参数 httpConnectTimeout 增加连接耗时,或是请检查与 taosAdapter 之间的连接情况。 |
| 0x231e | failed to complete the task within the specified time | 通过增加参数 messageWaitTimeout 增加执行耗时,或是请检查与 taosAdapter 之间的连接情况。 |
| 0x2350 | unknown error | 未知异常,请在 github 反馈给开发人员。 |
| 0x2352 | Unsupported encoding | 本地连接下指定了不支持的字符编码集 |
| 0x2353 | internal error of database, please see taoslog for more details | 本地连接执行 prepareStatement 时出现错误,请检查 taos log 进行问题定位。 |
@ -117,8 +116,8 @@ JDBC 连接器可能报错的错误码包括 4 种:
| 0x2376 | failed to set consumer topic, topic name is empty | 创建数据订阅过程中,订阅 topic 名称为空。请检查指定的 topic 名称是否填写正确。 |
| 0x2377 | consumer reference has been destroyed | 订阅数据传输通道已经关闭,请检查与 TDengine 的连接情况。 |
| 0x2378 | consumer create error | 创建数据订阅失败,请根据错误信息检查 taos log 进行问题定位。 |
| - | can't create connection with server within | 通过增加参数 httpConnectTimeout 增加连接耗时,或是请检查与 taosAdapter 之间的连接情况。 |
| - | failed to complete the task within the specified time | 通过增加参数 messageWaitTimeout 增加执行耗时,或是请检查与 taosAdapter 之间的连接情况。 |
| 0x2379 | seek offset must not be a negative number | seek 接口参数不能为负值,请使用正确的参数 |
| 0x237a | vGroup not found in result set | VGroup 没有分配给当前 consumer由于 Rebalance 机制导致 Consumer 与 VGroup 不是绑定的关系 |
- [TDengine Java Connector](https://github.com/taosdata/taos-connector-jdbc/blob/main/src/main/java/com/taosdata/jdbc/TSDBErrorNumbers.java)
<!-- - [TDengine_ERROR_CODE](../error-code) -->
@ -169,7 +168,7 @@ Maven 项目中,在 pom.xml 中添加以下依赖:
<dependency>
<groupId>com.taosdata.jdbc</groupId>
<artifactId>taos-jdbcdriver</artifactId>
<version>3.2.1</version>
<version>3.2.2</version>
</dependency>
```
@ -916,14 +915,15 @@ public class SchemalessWsTest {
public static void main(String[] args) throws SQLException {
final String url = "jdbc:TAOS-RS://" + host + ":6041/?user=root&password=taosdata&batchfetch=true";
Connection connection = DriverManager.getConnection(url);
try(Connection connection = DriverManager.getConnection(url)){
init(connection);
SchemalessWriter writer = new SchemalessWriter(connection, "test_ws_schemaless");
try(SchemalessWriter writer = new SchemalessWriter(connection, "test_ws_schemaless")){
writer.write(lineDemo, SchemalessProtocolType.LINE, SchemalessTimestampType.NANO_SECONDS);
writer.write(telnetDemo, SchemalessProtocolType.TELNET, SchemalessTimestampType.MILLI_SECONDS);
writer.write(jsonDemo, SchemalessProtocolType.JSON, SchemalessTimestampType.SECONDS);
System.exit(0);
}
}
}
private static void init(Connection connection) throws SQLException {
@ -994,6 +994,17 @@ while(true) {
`poll` 每次调用获取一个消息。
#### 指定订阅 Offset
```
long position(TopicPartition partition) throws SQLException;
Map<TopicPartition, Long> position(String topic) throws SQLException;
Map<TopicPartition, Long> beginningOffsets(String topic) throws SQLException;
Map<TopicPartition, Long> endOffsets(String topic) throws SQLException;
void seek(TopicPartition partition, long offset) throws SQLException;
```
#### 关闭订阅
```java
@ -1258,6 +1269,7 @@ public static void main(String[] args) throws Exception {
- connectionPoolsHikariCP, Druid, dbcp, c3p0 等连接池中使用 taos-jdbcdriver。
- SpringJdbcTemplateSpring JdbcTemplate 中使用 taos-jdbcdriver。
- mybatisplus-demoSpringboot + Mybatis 中使用 taos-jdbcdriver。
- consumer-demoConsumer 消费 TDengine 数据示例,可通过参数控制消费速度。
请参考:[JDBC example](https://github.com/taosdata/TDengine/tree/3.0/examples/JDBC)

View File

@ -30,7 +30,7 @@ REST 连接支持所有能运行 Go 的平台。
## 版本支持
请参考[版本支持列表](../#版本支持)
请参考[版本支持列表](https://github.com/taosdata/driver-go#remind)
## 支持的功能特性
@ -383,6 +383,15 @@ func main() {
提交消息。
* `func (c *Consumer) Assignment() (partitions []tmq.TopicPartition, err error)`
获取消费进度。(需要 TDengine >= 3.0.5.0 driver-go >= v3.5.0)
* `func (c *Consumer) Seek(partition tmq.TopicPartition, ignoredTimeoutMs int) error`
注意:出于兼容目的保留 `ignoredTimeoutMs` 参数,当前未使用
按照指定的进度消费。(需要 TDengine >= 3.0.5.0 driver-go >= v3.5.0)
* `func (c *Consumer) Close() error`
关闭连接。
@ -468,11 +477,20 @@ func main() {
提交消息。
* `func (c *Consumer) Assignment() (partitions []tmq.TopicPartition, err error)`
获取消费进度。(需要 TDengine >= 3.0.5.0 driver-go >= v3.5.0)
* `func (c *Consumer) Seek(partition tmq.TopicPartition, ignoredTimeoutMs int) error`
注意:出于兼容目的保留 `ignoredTimeoutMs` 参数,当前未使用
按照指定的进度消费。(需要 TDengine >= 3.0.5.0 driver-go >= v3.5.0)
* `func (c *Consumer) Close() error`
关闭连接。
完整订阅示例参见 [GitHub 示例文件](https://github.com/taosdata/driver-go/blob/3.0/examples/tmqoverws/main.go)
完整订阅示例参见 [GitHub 示例文件](https://github.com/taosdata/driver-go/blob/main/examples/tmqoverws/main.go)
### 通过 WebSocket 进行参数绑定
@ -520,7 +538,7 @@ func main() {
结束参数绑定。
完整参数绑定示例参见 [GitHub 示例文件](https://github.com/taosdata/driver-go/blob/3.0/examples/stmtoverws/main.go)
完整参数绑定示例参见 [GitHub 示例文件](https://github.com/taosdata/driver-go/blob/main/examples/stmtoverws/main.go)
## API 参考

View File

@ -26,9 +26,14 @@ import RustQuery from "../07-develop/04-query-data/_rust.mdx"
原生连接支持的平台和 TDengine 客户端驱动支持的平台一致。
Websocket 连接支持所有能运行 Rust 的平台。
## 版本支持
## 版本历史
请参考[版本支持列表](../#版本支持)
| Rust 连接器版本 | TDengine 版本 | 主要功能 |
| :----------------: | :--------------: | :--------------------------------------------------: |
| v0.8.10 | 3.0.5.0 or later | 消息订阅:获取消费进度及按照指定进度开始消费。 |
| v0.8.0 | 3.0.4.0 | 支持无模式写入。 |
| v0.7.6 | 3.0.3.0 | 支持在请求中使用 req_id。 |
| v0.6.0 | 3.0.0.0 | 基础功能。 |
Rust 连接器仍然在快速开发中1.0 之前无法保证其向后兼容。建议使用 3.0 版本以上的 TDengine以避免已知问题。
@ -502,6 +507,22 @@ TMQ 消息队列是一个 [futures::Stream](https://docs.rs/futures/latest/futur
}
```
获取消费进度:
版本要求 connector-rust >= v0.8.8 TDengine >= 3.0.5.0
```rust
let assignments = consumer.assignments().await.unwrap();
```
按照指定的进度消费:
版本要求 connector-rust >= v0.8.8 TDengine >= 3.0.5.0
```rust
consumer.offset_seek(topic, vgroup_id, offset).await;
```
停止订阅:
```rust
@ -516,7 +537,7 @@ consumer.unsubscribe().await;
- `enable.auto.commit`: 当设置为 `true` 时,将启用自动标记模式,当对数据一致性不敏感时,可以启用此方式。
- `auto.commit.interval.ms`: 自动标记的时间间隔。
完整订阅示例参见 [GitHub 示例文件](https://github.com/taosdata/taos-connector-rust/blob/main/examples/subscribe.rs).
完整订阅示例参见 [GitHub 示例文件](https://github.com/taosdata/TDengine/blob/3.0/docs/examples/rust/nativeexample/examples/subscribe_demo.rs).
其他相关结构体 API 使用说明请移步 Rust 文档托管网页:<https://docs.rs/taos>。

View File

@ -456,27 +456,169 @@ TaosCursor 类使用原生连接进行写入、查询操作。在客户端多线
### 数据订阅
连接器支持数据订阅功能,数据订阅功能请参考 [数据订阅](../../develop/tmq/)。
连接器支持数据订阅功能,数据订阅功能请参考 [数据订阅文档](../../develop/tmq/)。
<Tabs defaultValue="native">
<TabItem value="native" label="原生连接">
`Consumer` 提供了 Python 连接器订阅 TMQ 数据的 API相关 API 定义请参考 [数据订阅文档](../../develop/tmq/#%E4%B8%BB%E8%A6%81%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E5%92%8C-api)。
`Consumer` 提供了 Python 连接器订阅 TMQ 数据的 API。
#### 创建 Consumer
创建 Consumer 语法为 `consumer = Consumer(configs)`,参数定义请参考 [数据订阅文档](../../develop/tmq/#%E5%88%9B%E5%BB%BA%E6%B6%88%E8%B4%B9%E8%80%85-consumer)。
```python
from taos.tmq import Consumer
consumer = Consumer({"group.id": "local", "td.connect.ip": "127.0.0.1"})
```
#### 订阅 topics
Comsumer API 的 `subscribe` 方法用于订阅 topicsconsumer 支持同时订阅多个 topic。
```python
consumer.subscribe(['topic1', 'topic2'])
```
#### 消费数据
Consumer API 的 `poll` 方法用于消费数据,`poll` 方法接收一个 float 类型的超时时间超时时间单位为秒s`poll` 方法在超时之前返回一条 Message 类型的数据或超时返回 `None`。消费者必须通过 Message 的 `error()` 方法校验返回数据的 error 信息。
```python
while True:
res = consumer.poll(1)
if not res:
continue
err = res.error()
if err is not None:
raise err
val = res.value()
for block in val:
print(block.fetchall())
```
#### 获取消费进度
Consumer API 的 `assignment` 方法用于获取 Consumer 订阅的所有 topic 的消费进度,返回结果类型为 TopicPartition 列表。
```python
assignments = consumer.assignment()
```
#### 重置消费进度
Consumer API 的 `seek` 方法用于重置 Consumer 的消费进度到指定位置,方法参数类型为 TopicPartition。
```python
tp = TopicPartition(topic='topic1', partition=0, offset=0)
consumer.seek(tp)
```
#### 结束消费
消费结束后,应当取消订阅,并关闭 Consumer。
```python
consumer.unsubscribe()
consumer.close()
```
#### tmq 订阅示例代码
```python
{{#include docs/examples/python/tmq_example.py}}
```
#### 获取和重置消费进度示例代码
```python
{{#include docs/examples/python/tmq_assignment_example.py:taos_get_assignment_and_seek_demo}}
```
</TabItem>
<TabItem value="websocket" label="WebSocket 连接">
除了原生的连接方式Python 连接器还支持通过 websocket 订阅 TMQ 数据。
除了原生的连接方式Python 连接器还支持通过 websocket 订阅 TMQ 数据,使用 websocket 方式订阅 TMQ 数据需要安装 `taos-ws-py`。
taosws `Consumer` API 提供了基于 Websocket 订阅 TMQ 数据的 API。
#### 创建 Consumer
创建 Consumer 语法为 `consumer = Consumer(conf=configs)`,使用时需要指定 `td.connect.websocket.scheme` 参数值为 "ws",参数定义请参考 [数据订阅文档](../../develop/tmq/#%E5%88%9B%E5%BB%BA%E6%B6%88%E8%B4%B9%E8%80%85-consumer)。
```python
import taosws
consumer = taosws.(conf={"group.id": "local", "td.connect.websocket.scheme": "ws"})
```
#### 订阅 topics
Comsumer API 的 `subscribe` 方法用于订阅 topicsconsumer 支持同时订阅多个 topic。
```python
consumer.subscribe(['topic1', 'topic2'])
```
#### 消费数据
Consumer API 的 `poll` 方法用于消费数据,`poll` 方法接收一个 float 类型的超时时间超时时间单位为秒s`poll` 方法在超时之前返回一条 Message 类型的数据或超时返回 `None`。消费者必须通过 Message 的 `error()` 方法校验返回数据的 error 信息。
```python
while True:
res = consumer.poll(timeout=1.0)
if not res:
continue
err = res.error()
if err is not None:
raise err
for block in message:
for row in block:
print(row)
```
#### 获取消费进度
Consumer API 的 `assignment` 方法用于获取 Consumer 订阅的所有 topic 的消费进度,返回结果类型为 TopicPartition 列表。
```python
assignments = consumer.assignment()
```
#### 重置消费进度
Consumer API 的 `seek` 方法用于重置 Consumer 的消费进度到指定位置。
```python
consumer.seek(topic='topic1', partition=0, offset=0)
```
#### 结束消费
消费结束后,应当取消订阅,并关闭 Consumer。
```python
consumer.unsubscribe()
consumer.close()
```
#### tmq 订阅示例代码
```python
{{#include docs/examples/python/tmq_websocket_example.py}}
```
连接器提供了 `assignment` 接口,用于获取 topic assignment 的功能,可以查询订阅的 topic 的消费进度,并提供 `seek` 接口,用于重置 topic 的消费进度。
#### 获取和重置消费进度示例代码
```python
{{#include docs/examples/python/tmq_websocket_assgnment_example.py:taosws_get_assignment_and_seek_demo}}
```
</TabItem>
</Tabs>

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@ -45,9 +45,9 @@ CREATE DATABASE db_name PRECISION 'ns';
:::note
- 表的每行长度不能超过 48KB注意每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)。
- 表的每行长度不能超过 48KB从 3.0.5.0 版本开始为 64KB注意:每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)。
- 虽然 BINARY 类型在底层存储上支持字节型的二进制字符,但不同编程语言对二进制数据的处理方式并不保证一致,因此建议在 BINARY 类型中只存储 ASCII 可见字符,而避免存储不可见字符。多字节的数据,例如中文字符,则需要使用 NCHAR 类型进行保存。如果强行使用 BINARY 类型保存中文字符,虽然有时也能正常读写,但并不带有字符集信息,很容易出现数据乱码甚至数据损坏等情况。
- BINARY 类型理论上最长可以有 16,374 字节。BINARY 仅支持字符串输入,字符串两端需使用单引号引用。使用时须指定大小,如 BINARY(20) 定义了最长为 20 个单字节字符的字符串,每个字符占 1 字节的存储空间,总共固定占用 20 字节的空间,此时如果用户字符串超出 20 字节将会报错。对于字符串内的单引号,可以用转义字符反斜线加单引号来表示,即 `\'`
- BINARY 类型理论上最长可以有 16,374(从 3.0.5.0 版本开始,数据列为 65,517标签列为 16,382 字节。BINARY 仅支持字符串输入,字符串两端需使用单引号引用。使用时须指定大小,如 BINARY(20) 定义了最长为 20 个单字节字符的字符串,每个字符占 1 字节的存储空间,总共固定占用 20 字节的空间,此时如果用户字符串超出 20 字节将会报错。对于字符串内的单引号,可以用转义字符反斜线加单引号来表示,即 `\'`
- SQL 语句中的数值类型将依据是否存在小数点或使用科学计数法表示来判断数值类型是否为整型或者浮点型因此在使用时要注意相应类型越界的情况。例如9999999999999999999 会认为超过长整型的上边界而溢出,而 9999999999999999999.0 会被认为是有效的浮点数。
:::

View File

@ -43,7 +43,7 @@ table_option: {
1. 表的第一个字段必须是 TIMESTAMP并且系统自动将其设为主键
2. 表名最大长度为 192
3. 表的每行长度不能超过 48KB;(注意:每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)
3. 表的每行长度不能超过 48KB(从 3.0.5.0 版本开始为 64KB;(注意:每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)
4. 子表名只能由字母、数字和下划线组成,且不能以数字开头,不区分大小写
5. 使用数据类型 binary 或 nchar需指定其最长的字节数如 binary(20),表示 20 字节;
6. 为了兼容支持更多形式的表名TDengine 引入新的转义符 "\`",可以让表名与关键词不冲突,同时不受限于上述表名称合法性约束检查。但是同样具有长度限制要求。使用转义字符以后,不再对转义字符中的内容进行大小写统一。

View File

@ -55,7 +55,7 @@ window_clause: {
| INTERVAL(interval_val [, interval_offset]) [SLIDING (sliding_val)] [WATERMARK(watermark_val)] [FILL(fill_mod_and_val)]
interp_clause:
RANGE(ts_val, ts_val) EVERY(every_val) FILL(fill_mod_and_val)
RANGE(ts_val [, ts_val]) EVERY(every_val) FILL(fill_mod_and_val)
partition_by_clause:
PARTITION BY expr [, expr] ...

View File

@ -890,9 +890,10 @@ ignore_null_values: {
- INTERP 用于在指定时间断面获取指定列的记录值,如果该时间断面不存在符合条件的行数据,那么会根据 FILL 参数的设定进行插值。
- INTERP 的输入数据为指定列的数据可以通过条件语句where 子句)来对原始列数据进行过滤,如果没有指定过滤条件则输入为全部数据。
- INTERP 需要同时与 RANGEEVERY 和 FILL 关键字一起使用。
- INTERP 的输出时间范围根据 RANGE(timestamp1,timestamp2)字段来指定,需满足 timestamp1 <= timestamp2。其中 timestamp1(必选值)为输出时间范围的起始值,即如果 timestamp1 时刻符合插值条件则 timestamp1 为输出的第一条记录timestamp2(必选值)为输出时间范围的结束值,即输出的最后一条记录的 timestamp 不能大于 timestamp2。
- INTERP 的输出时间范围根据 RANGE(timestamp1, timestamp2)字段来指定,需满足 timestamp1 <= timestamp2。其中 timestamp1 为输出时间范围的起始值,即如果 timestamp1 时刻符合插值条件则 timestamp1 为输出的第一条记录timestamp2 为输出时间范围的结束值,即输出的最后一条记录的 timestamp 不能大于 timestamp2。
- INTERP 根据 EVERY(time_unit) 字段来确定输出时间范围内的结果条数,即从 timestamp1 开始每隔固定长度的时间time_unit 值进行插值time_unit 可取值时间单位1a(毫秒)1s(秒)1m(分)1h(小时)1d(天)1w(周)。例如 EVERY(500a) 将对于指定数据每500毫秒间隔进行一次插值.
- INTERP 根据 FILL 字段来决定在每个符合输出条件的时刻如何进行插值。关于 FILL 子句如何使用请参考 [FILL 子句](../distinguished/#fill-子句)
- INTERP 可以在 RANGE 字段中只指定唯一的时间戳对单个时间点进行插值在这种情况下EVERY 字段可以省略。例如SELECT INTERP(col) FROM tb RANGE('2023-01-01 00:00:00') FILL(linear).
- INTERP 作用于超级表时, 会将该超级表下的所有子表数据按照主键列排序后进行插值计算,也可以搭配 PARTITION BY tbname 使用,将结果强制规约到单个时间线。
- INTERP 可以与伪列 _irowts 一起使用,返回插值点所对应的时间戳(3.0.2.0版本以后支持)。
- INTERP 可以与伪列 _isfilled 一起使用,显示返回结果是否为原始记录或插值算法产生的数据(3.0.3.0版本以后支持)。

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@ -26,7 +26,7 @@ description: 合法字符集和命名中的限制规则
- 数据库名最大长度为 64 字节
- 表名最大长度为 192 字节,不包括数据库名前缀和分隔符
- 每行数据最大长度 48KB (注意:数据行内每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)
- 每行数据最大长度 48KB(从 3.0.5.0 版本开始为 64KB (注意:数据行内每个 BINARY/NCHAR 类型的列还会额外占用 2 个字节的存储位置)
- 列名最大长度为 64 字节
- 最多允许 4096 列,最少需要 2 列,第一列必须是时间戳。
- 标签名最大长度为 64 字节

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@ -5,7 +5,7 @@ description: "TDengine 客户端和服务配置列表"
## 为服务端指定配置文件
TDengine 系统后台服务由 taosd 提供,可以在配置文件 taos.cfg 里修改配置参数,以满足不同场景的需求。配置文件的缺省位置在/etc/taos 目录,可以通过 taosd 命令行执行参数 -c 指定配置文件目录。比如,指定配置文件位于`/home/user` 这个目录:
TDengine 系统后台服务由 taosd 提供,可以在配置文件 taos.cfg 里修改配置参数,以满足不同场景的需求。在 Linux 系统上,配置文件的缺省位置在 `/etc/taos` 目录,在 Windows 系统上缺省位置在 `C:\TDengine`可以通过 taosd 命令行执行参数 -c 指定配置文件所在目录。比如,在 Linux 系统上可以指定配置文件位于 `/home/user` 这个目录:
```
taosd -c /home/user

View File

@ -87,7 +87,7 @@ st,t1=3,t2=4,t3=t3 c1=3i64,c3="passit",c2=false,c4=4f64 1626006833639000000
:::tip
无模式所有的处理逻辑,仍会遵循 TDengine 对数据结构的底层限制,例如每行数据的总长度不能超过
48KB标签值的总长度不超过16KB。这方面的具体限制约束请参见 [TDengine SQL 边界限制](/taos-sql/limit)
48KB(从 3.0.5.0 版本开始为 64KB标签值的总长度不超过16KB。这方面的具体限制约束请参见 [TDengine SQL 边界限制](/taos-sql/limit)
:::

View File

@ -16,169 +16,78 @@ TDengine Source Connector 用于把数据实时地从 TDengine 读出来发送
![TDengine Database Kafka Connector -- streaming integration with kafka connect](kafka/streaming-integration-with-kafka-connect.webp)
## 什么是 Confluent
[Confluent](https://www.confluent.io/) 在 Kafka 的基础上增加很多扩展功能。包括:
1. Schema Registry
2. REST 代理
3. 非 Java 客户端
4. 很多打包好的 Kafka Connect 插件
5. 管理和监控 Kafka 的 GUI —— Confluent 控制中心
这些扩展功能有的包含在社区版本的 Confluent 中,有的只有企业版能用。
![TDengine Database Kafka Connector -- Confluent introduction](kafka/confluentPlatform.webp)
Confluent 企业版提供了 `confluent` 命令行工具管理各个组件。
## 前置条件
运行本教程中示例的前提条件。
1. Linux 操作系统
2. 已安装 Java 8 和 Maven
3. 已安装 Git
3. 已安装 Git、curl、vi
4. 已安装并启动 TDengine。如果还没有可参考[安装和卸载](/operation/pkg-install)
## 安装 Confluent
Confluent 提供了 Docker 和二进制包两种安装方式。本文仅介绍二进制包方式安装。
## 安装 Kafka
在任意目录下执行:
```
curl -O http://packages.confluent.io/archive/7.1/confluent-7.1.1.tar.gz
tar xzf confluent-7.1.1.tar.gz -C /opt/
```shell
curl -O https://downloads.apache.org/kafka/3.4.0/kafka_2.13-3.4.0.tgz
tar xzf kafka_2.13-3.4.0.tgz -C /opt/
ln -s /opt/kafka_2.13-3.4.0 /opt/kafka
```
然后需要把 `$CONFLUENT_HOME/bin` 目录加入 PATH。
然后需要把 `$KAFKA_HOME/bin` 目录加入 PATH。
```title=".profile"
export CONFLUENT_HOME=/opt/confluent-7.1.1
export PATH=$CONFLUENT_HOME/bin:$PATH
export KAFKA_HOME=/opt/kafka
export PATH=$PATH:$KAFKA_HOME/bin
```
以上脚本可以追加到当前用户的 profile 文件(~/.profile 或 ~/.bash_profile
安装完成之后,可以输入`confluent version`做简单验证:
```
# confluent version
confluent - Confluent CLI
Version: v2.6.1
Git Ref: 6d920590
Build Date: 2022-02-18T06:14:21Z
Go Version: go1.17.6 (linux/amd64)
Development: false
```
## 安装 TDengine Connector 插件
### 从源码安装
### 编译插件
```
```shell
git clone --branch 3.0 https://github.com/taosdata/kafka-connect-tdengine.git
cd kafka-connect-tdengine
mvn clean package
unzip -d $CONFLUENT_HOME/share/java/ target/components/packages/taosdata-kafka-connect-tdengine-*.zip
mvn clean package -Dmaven.test.skip=true
unzip -d $KAFKA_HOME/components/ target/components/packages/taosdata-kafka-connect-tdengine-*.zip
```
以上脚本先 clone 项目源码,然后用 Maven 编译打包。打包完成后在 `target/components/packages/` 目录生成了插件的 zip 包。把这个 zip 包解压到安装插件的路径即可。上面的示例中使用了内置的插件安装路径: `$CONFLUENT_HOME/share/java/`。
以上脚本先 clone 项目源码,然后用 Maven 编译打包。打包完成后在 `target/components/packages/` 目录生成了插件的 zip 包。把这个 zip 包解压到安装插件的路径即可。上面的示例中使用了内置的插件安装路径: `$KAFKA_HOME/components/`
### 用 confluent-hub 安装
### 配置插件
[Confluent Hub](https://www.confluent.io/hub) 提供下载 Kafka Connect 插件的服务。在 TDengine Kafka Connector 发布到 Confluent Hub 后可以使用命令工具 `confluent-hub` 安装。
**TDengine Kafka Connector 目前没有正式发布,不能用这种方式安装**。
将 kafka-connect-tdengine 插件加入 `$KAFKA_HOME/config/connect-distributed.properties` 配置文件 plugin.path 中
## 启动 Confluent
```
confluent local services start
```properties
plugin.path=/usr/share/java,/opt/kafka/components
```
:::note
一定要先安装插件再启动 Confluent, 否则加载插件会失败。
:::
## 启动 Kafka
:::tip
若某组件启动失败,可尝试清空数据,重新启动。数据目录在启动时将被打印到控制台,比如
```shell
zookeeper-server-start.sh -daemon $KAFKA_HOME/config/zookeeper.properties
```title="控制台输出日志" {1}
Using CONFLUENT_CURRENT: /tmp/confluent.106668
Starting ZooKeeper
ZooKeeper is [UP]
Starting Kafka
Kafka is [UP]
Starting Schema Registry
Schema Registry is [UP]
Starting Kafka REST
Kafka REST is [UP]
Starting Connect
Connect is [UP]
Starting ksqlDB Server
ksqlDB Server is [UP]
Starting Control Center
Control Center is [UP]
kafka-server-start.sh -daemon $KAFKA_HOME/config/server.properties
connect-distributed.sh -daemon $KAFKA_HOME/config/connect-distributed.properties
```
清空数据可执行 `rm -rf /tmp/confluent.106668`
:::
### 验证各个组件是否启动成功
### 验证 kafka Connect 是否启动成功
输入命令:
```
confluent local services status
```shell
curl http://localhost:8083/connectors
```
如果各组件都启动成功,会得到如下输出:
```txt
[]
```
Connect is [UP]
Control Center is [UP]
Kafka is [UP]
Kafka REST is [UP]
ksqlDB Server is [UP]
Schema Registry is [UP]
ZooKeeper is [UP]
```
### 验证插件是否安装成功
在 Kafka Connect 组件完全启动后,可用以下命令列出成功加载的插件:
```
confluent local services connect plugin list
```
如果成功安装,会输出如下:
```txt {4,9}
Available Connect Plugins:
[
{
"class": "com.taosdata.kafka.connect.sink.TDengineSinkConnector",
"type": "sink",
"version": "1.0.0"
},
{
"class": "com.taosdata.kafka.connect.source.TDengineSourceConnector",
"type": "source",
"version": "1.0.0"
},
......
```
如果插件安装失败,请检查 Kafka Connect 的启动日志是否有异常信息,用以下命令输出日志路径:
```
echo `cat /tmp/confluent.current`/connect/connect.stdout
```
该命令的输出类似: `/tmp/confluent.104086/connect/connect.stdout`
与日志文件 `connect.stdout` 同一目录,还有一个文件名为: `connect.properties`。在这个文件的末尾,可以看到最终生效的 `plugin.path` 它是一系列用逗号分割的路径。如果插件安装失败,很可能是因为实际的安装路径不包含在 `plugin.path` 中。
## TDengine Sink Connector 的使用
@ -188,40 +97,47 @@ TDengine Sink Connector 内部使用 TDengine [无模式写入接口](../../conn
下面的示例将主题 meters 的数据,同步到目标数据库 power。数据格式为 InfluxDB Line 协议格式。
### 添加配置文件
### 添加 Sink Connector 配置文件
```
```shell
mkdir ~/test
cd ~/test
vi sink-demo.properties
vi sink-demo.json
```
sink-demo.properties 内容如下:
sink-demo.json 内容如下:
```ini title="sink-demo.properties"
name=TDengineSinkConnector
connector.class=com.taosdata.kafka.connect.sink.TDengineSinkConnector
tasks.max=1
topics=meters
connection.url=jdbc:TAOS://127.0.0.1:6030
connection.user=root
connection.password=taosdata
connection.database=power
db.schemaless=line
data.precision=ns
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=org.apache.kafka.connect.storage.StringConverter
```json title="sink-demo.json"
{
"name": "TDengineSinkConnector",
"config": {
"connector.class":"com.taosdata.kafka.connect.sink.TDengineSinkConnector",
"tasks.max": "1",
"topics": "meters",
"connection.url": "jdbc:TAOS://127.0.0.1:6030",
"connection.user": "root",
"connection.password": "taosdata",
"connection.database": "power",
"db.schemaless": "line",
"data.precision": "ns",
"key.converter": "org.apache.kafka.connect.storage.StringConverter",
"value.converter": "org.apache.kafka.connect.storage.StringConverter",
"errors.tolerance": "all",
"errors.deadletterqueue.topic.name": "dead_letter_topic",
"errors.deadletterqueue.topic.replication.factor": 1
}
}
```
关键配置说明:
1. `topics=meters``connection.database=power`, 表示订阅主题 meters 的数据,并写入数据库 power。
2. `db.schemaless=line`, 表示使用 InfluxDB Line 协议格式的数据。
1. `"topics": "meters"` 和 `"connection.database": "power"`, 表示订阅主题 meters 的数据,并写入数据库 power。
2. `"db.schemaless": "line"`, 表示使用 InfluxDB Line 协议格式的数据。
### 创建 Connector 实例
### 创建 Sink Connector 实例
```
confluent local services connect connector load TDengineSinkConnector --config ./sink-demo.properties
```shell
curl -X POST -d @sink-demo.json http://localhost:8083/connectors -H "Content-Type: application/json"
```
若以上命令执行成功,则有如下输出:
@ -241,7 +157,10 @@ confluent local services connect connector load TDengineSinkConnector --config .
"tasks.max": "1",
"topics": "meters",
"value.converter": "org.apache.kafka.connect.storage.StringConverter",
"name": "TDengineSinkConnector"
"name": "TDengineSinkConnector",
"errors.tolerance": "all",
"errors.deadletterqueue.topic.name": "dead_letter_topic",
"errors.deadletterqueue.topic.replication.factor": "1",
},
"tasks": [],
"type": "sink"
@ -261,8 +180,8 @@ meters,location=California.LosAngeles,groupid=3 current=11.3,voltage=221,phase=0
使用 kafka-console-producer 向主题 meters 添加测试数据。
```
cat test-data.txt | kafka-console-producer --broker-list localhost:9092 --topic meters
```shell
cat test-data.txt | kafka-console-producer.sh --broker-list localhost:9092 --topic meters
```
:::note
@ -273,12 +192,12 @@ cat test-data.txt | kafka-console-producer --broker-list localhost:9092 --topic
使用 TDengine CLI 验证同步是否成功。
```
```sql
taos> use power;
Database changed.
taos> select * from meters;
ts | current | voltage | phase | groupid | location |
_ts | current | voltage | phase | groupid | location |
===============================================================================================================================================================
2022-03-28 09:56:51.249000000 | 11.800000000 | 221.000000000 | 0.280000000 | 2 | California.LosAngeles |
2022-03-28 09:56:51.250000000 | 13.400000000 | 223.000000000 | 0.290000000 | 2 | California.LosAngeles |
@ -295,31 +214,39 @@ TDengine Source Connector 的作用是将 TDengine 某个数据库某一时刻
TDengine Source Connector 会将 TDengine 数据表中的数据转换成 [InfluxDB Line 协议格式](/develop/insert-data/influxdb-line/) 或 [OpenTSDB JSON 协议格式](/develop/insert-data/opentsdb-json) 然后写入 Kafka。
下面的示例程序同步数据库 test 中的数据到主题 tdengine-source-test
下面的示例程序同步数据库 test 中的数据到主题 tdengine-test-meters
### 添加配置文件
### 添加 Source Connector 配置文件
```
vi source-demo.properties
```shell
vi source-demo.json
```
输入以下内容:
```ini title="source-demo.properties"
name=TDengineSourceConnector
connector.class=com.taosdata.kafka.connect.source.TDengineSourceConnector
tasks.max=1
connection.url=jdbc:TAOS://127.0.0.1:6030
connection.username=root
connection.password=taosdata
connection.database=test
connection.attempts=3
connection.backoff.ms=5000
topic.prefix=tdengine-source-
poll.interval.ms=1000
fetch.max.rows=100
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=org.apache.kafka.connect.storage.StringConverter
```json title="source-demo.json"
{
"name":"TDengineSourceConnector",
"config":{
"connector.class": "com.taosdata.kafka.connect.source.TDengineSourceConnector",
"tasks.max": 1,
"connection.url": "jdbc:TAOS://127.0.0.1:6030",
"connection.username": "root",
"connection.password": "taosdata",
"connection.database": "test",
"connection.attempts": 3,
"connection.backoff.ms": 5000,
"topic.prefix": "tdengine",
"topic.delimiter": "-",
"poll.interval.ms": 1000,
"fetch.max.rows": 100,
"topic.per.stable": true,
"topic.ignore.db": false,
"out.format": "line",
"key.converter": "org.apache.kafka.connect.storage.StringConverter",
"value.converter": "org.apache.kafka.connect.storage.StringConverter"
}
}
```
### 准备测试数据
@ -344,27 +271,27 @@ INSERT INTO d1001 USING meters TAGS('California.SanFrancisco', 2) VALUES('2018-1
使用 TDengine CLI, 执行 SQL 文件。
```
```shell
taos -f prepare-source-data.sql
```
### 创建 Connector 实例
### 创建 Source Connector 实例
```
confluent local services connect connector load TDengineSourceConnector --config source-demo.properties
```shell
curl -X POST -d @source-demo.json http://localhost:8083/connectors -H "Content-Type: application/json"
```
### 查看 topic 数据
使用 kafka-console-consumer 命令行工具监控主题 tdengine-source-test 中的数据。一开始会输出所有历史数据, 往 TDengine 插入两条新的数据之后kafka-console-consumer 也立即输出了新增的两条数据。 输出数据 InfluxDB line protocol 的格式。
使用 kafka-console-consumer 命令行工具监控主题 tdengine-test-meters 中的数据。一开始会输出所有历史数据, 往 TDengine 插入两条新的数据之后kafka-console-consumer 也立即输出了新增的两条数据。 输出数据 InfluxDB line protocol 的格式。
```
kafka-console-consumer --bootstrap-server localhost:9092 --from-beginning --topic tdengine-source-test
```shell
kafka-console-consumer.sh --bootstrap-server localhost:9092 --from-beginning --topic tdengine-test-meters
```
输出:
```
```txt
......
meters,location="California.SanFrancisco",groupid=2i32 current=10.3f32,voltage=219i32,phase=0.31f32 1538548685000000000
meters,location="California.SanFrancisco",groupid=2i32 current=12.6f32,voltage=218i32,phase=0.33f32 1538548695000000000
@ -373,7 +300,7 @@ meters,location="California.SanFrancisco",groupid=2i32 current=12.6f32,voltage=2
此时会显示所有历史数据。切换到 TDengine CLI 插入两条新的数据:
```
```sql
USE test;
INSERT INTO d1001 VALUES (now, 13.3, 229, 0.38);
INSERT INTO d1002 VALUES (now, 16.3, 233, 0.22);
@ -387,15 +314,15 @@ INSERT INTO d1002 VALUES (now, 16.3, 233, 0.22);
查看当前活跃的 connector
```
confluent local services connect connector status
```shell
curl http://localhost:8083/connectors
```
如果按照前述操作,此时应有两个活跃的 connector。使用下面的命令 unload
```
confluent local services connect connector unload TDengineSinkConnector
confluent local services connect connector unload TDengineSourceConnector
```shell
curl -X DELETE http://localhost:8083/connectors/TDengineSinkConnector
curl -X DELETE http://localhost:8083/connectors/TDengineSourceConnector
```
## 配置参考
@ -437,20 +364,20 @@ confluent local services connect connector unload TDengineSourceConnector
3. `timestamp.initial`: 数据同步起始时间。格式为'yyyy-MM-dd HH:mm:ss',若未指定则从指定 DB 中最早的一条记录开始。
4. `poll.interval.ms`: 检查是否有新建或删除的表的时间间隔,单位为 ms。默认为 1000。
5. `fetch.max.rows` : 检索数据库时最大检索条数。 默认为 100。
6. `query.interval.ms`: 从 TDengine 一次读取数据的时间跨度,需要根据表中的数据特征合理配置,避免一次查询的数据量过大或过小;在具体的环境中建议通过测试设置一个较优值,默认值为 1000.
7. `topic.per.stable`: 如果设置为true表示一个超级表对应一个 Kafka topictopic的命名规则 `<topic.prefix>-<connection.database>-<stable.name>`;如果设置为 false则指定的 DB 中的所有数据进入一个 Kafka topictopic 的命名规则为 `<topic.prefix>-<connection.database>`
6. `query.interval.ms`: 从 TDengine 一次读取数据的时间跨度,需要根据表中的数据特征合理配置,避免一次查询的数据量过大或过小;在具体的环境中建议通过测试设置一个较优值,默认值为 0即获取到当前最新时间的所有数据。
7. `out.format` : 结果集输出格式。`line` 表示输出格式为 InfluxDB Line 协议格式,`json` 表示输出格式是 json。默认为 line。
8. `topic.per.stable`: 如果设置为 true表示一个超级表对应一个 Kafka topictopic的命名规则 `<topic.prefix><topic.delimiter><connection.database><topic.delimiter><stable.name>`;如果设置为 false则指定的 DB 中的所有数据进入一个 Kafka topictopic 的命名规则为 `<topic.prefix><topic.delimiter><connection.database>`
9. `topic.ignore.db`: topic 命名规则是否包含 database 名称true 表示规则为 `<topic.prefix><topic.delimiter><stable.name>`false 表示规则为 `<topic.prefix><topic.delimiter><connection.database><topic.delimiter><stable.name>`,默认 false。此配置项在 `topic.per.stable` 设置为 false 时不生效。
10. `topic.delimiter`: topic 名称分割符,默认为 `-`
## 其他说明
1. 插件的安装位置可以自定义请参考官方文档https://docs.confluent.io/home/connect/self-managed/install.html#install-connector-manually。
2. 本教程的示例程序使用了 Confluent 平台,但是 TDengine Kafka Connector 本身同样适用于独立安装的 Kafka, 且配置方法相同。关于如何在独立安装的 Kafka 环境使用 Kafka Connect 插件, 请参考官方文档: https://kafka.apache.org/documentation/#connect。
1. 关于如何在独立安装的 Kafka 环境使用 Kafka Connect 插件, 请参考官方文档:<https://kafka.apache.org/documentation/#connect>
## 问题反馈
无论遇到任何问题,都欢迎在本项目的 Github 仓库反馈: https://github.com/taosdata/kafka-connect-tdengine/issues
无论遇到任何问题,都欢迎在本项目的 Github 仓库反馈:<https://github.com/taosdata/kafka-connect-tdengine/issues>
## 参考
1. https://www.confluent.io/what-is-apache-kafka
2. https://developer.confluent.io/learn-kafka/kafka-connect/intro
3. https://docs.confluent.io/platform/current/platform.html
1. <https://kafka.apache.org/documentation/>

View File

@ -10,6 +10,10 @@ TDengine 2.x 各版本安装包请访问[这里](https://www.taosdata.com/all-do
import Release from "/components/ReleaseV3";
## 3.0.5.0
<Release type="tdengine" version="3.0.5.0" />
## 3.0.4.2
<Release type="tdengine" version="3.0.4.2" />

View File

@ -10,6 +10,10 @@ taosTools 各版本安装包下载链接如下:
import Release from "/components/ReleaseV3";
## 2.5.1
<Release type="tools" version="2.5.1" />
## 2.5.0
<Release type="tools" version="2.5.0" />

View File

@ -0,0 +1,70 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.taosdata</groupId>
<artifactId>consumer</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>com.taosdata.jdbc</groupId>
<artifactId>taos-jdbcdriver</artifactId>
<version>3.2.1</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>30.1.1-jre</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.3.0</version>
<executions>
<execution>
<id>ConsumerDemo</id>
<configuration>
<finalName>ConsumerDemo</finalName>
<archive>
<manifest>
<mainClass>com.taosdata.ConsumerDemo</mainClass>
</manifest>
</archive>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>8</source>
<target>8</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
</plugins>
</build>
</project>

View File

@ -0,0 +1,52 @@
# How to Run the Consumer Demo Code On Linux OS
TDengine's Consumer demo project is organized in a Maven way so that users can easily compile, package and run the project. If you don't have Maven on your server, you may install it using
```
sudo apt-get install maven
```
## Install TDengine Client and TaosAdapter
Make sure you have already installed a tdengine client on your current develop environment.
Download the tdengine package on our website: ``https://www.taosdata.com/cn/all-downloads/`` and install the client.
## Run Consumer Demo using mvn plugin
run command:
```
mvn clean compile exec:java -Dexec.mainClass="com.taosdata.ConsumerDemo"
```
## Custom configuration
```shell
# the host of TDengine server
export TAOS_HOST="127.0.0.1"
# the port of TDengine server
export TAOS_PORT="6041"
# the consumer type, can be "ws" or "jni"
export TAOS_TYPE="ws"
# the number of consumers
export TAOS_JDBC_CONSUMER_NUM="1"
# the number of processors to consume
export TAOS_JDBC_PROCESSOR_NUM="2"
# the number of records to be consumed per processor per second
export TAOS_JDBC_RATE_PER_PROCESSOR="1000"
# poll wait time in ms
export TAOS_JDBC_POLL_SLEEP="100"
```
## Run Consumer Demo using jar
To compile the demo project, go to the source directory ``TDengine/tests/examples/JDBC/consumer-demo`` and execute
```
mvn clean package assembly:single
```
To run ConsumerDemo.jar, go to ``TDengine/tests/examples/JDBC/consumer-demo`` and execute
```
java -jar target/ConsumerDemo-jar-with-dependencies.jar
```

View File

@ -0,0 +1,43 @@
package com.taosdata;
import java.sql.Timestamp;
public class Bean {
private Timestamp ts;
private Integer c1;
private String c2;
public Timestamp getTs() {
return ts;
}
public void setTs(Timestamp ts) {
this.ts = ts;
}
public Integer getC1() {
return c1;
}
public void setC1(Integer c1) {
this.c1 = c1;
}
public String getC2() {
return c2;
}
public void setC2(String c2) {
this.c2 = c2;
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder("Bean {");
sb.append("ts=").append(ts);
sb.append(", c1=").append(c1);
sb.append(", c2='").append(c2).append('\'');
sb.append('}');
return sb.toString();
}
}

View File

@ -0,0 +1,6 @@
package com.taosdata;
import com.taosdata.jdbc.tmq.ReferenceDeserializer;
public class BeanDeserializer extends ReferenceDeserializer<Bean> {
}

View File

@ -0,0 +1,78 @@
package com.taosdata;
public class Config {
public static final String TOPIC = "test_consumer";
public static final String TAOS_HOST = "127.0.0.1";
public static final String TAOS_PORT = "6041";
public static final String TAOS_TYPE = "ws";
public static final int TAOS_JDBC_CONSUMER_NUM = 1;
public static final int TAOS_JDBC_PROCESSOR_NUM = 2;
public static final int TAOS_JDBC_RATE_PER_PROCESSOR = 1000;
public static final int TAOS_JDBC_POLL_SLEEP = 100;
private final int consumerNum;
private final int processCapacity;
private final int rate;
private final int pollSleep;
private final String type;
private final String host;
private final String port;
public Config(String type, String host, String port, int consumerNum, int processCapacity, int rate, int pollSleep) {
this.type = type;
this.consumerNum = consumerNum;
this.processCapacity = processCapacity;
this.rate = rate;
this.pollSleep = pollSleep;
this.host = host;
this.port = port;
}
public int getConsumerNum() {
return consumerNum;
}
public int getProcessCapacity() {
return processCapacity;
}
public int getRate() {
return rate;
}
public int getPollSleep() {
return pollSleep;
}
public String getHost() {
return host;
}
public String getPort() {
return port;
}
public String getType() {
return type;
}
public static Config getFromENV() {
String host = System.getenv("TAOS_HOST") != null ? System.getenv("TAOS_HOST") : TAOS_HOST;
String port = System.getenv("TAOS_PORT") != null ? System.getenv("TAOS_PORT") : TAOS_PORT;
String type = System.getenv("TAOS_TYPE") != null ? System.getenv("TAOS_TYPE") : TAOS_TYPE;
String c = System.getenv("TAOS_JDBC_CONSUMER_NUM");
int num = c != null ? Integer.parseInt(c) : TAOS_JDBC_CONSUMER_NUM;
String p = System.getenv("TAOS_JDBC_PROCESSOR_NUM");
int capacity = p != null ? Integer.parseInt(p) : TAOS_JDBC_PROCESSOR_NUM;
String r = System.getenv("TAOS_JDBC_RATE_PER_PROCESSOR");
int rate = r != null ? Integer.parseInt(r) : TAOS_JDBC_RATE_PER_PROCESSOR;
String s = System.getenv("TAOS_JDBC_POLL_SLEEP");
int sleep = s != null ? Integer.parseInt(s) : TAOS_JDBC_POLL_SLEEP;
return new Config(type, host, port, num, capacity, rate, sleep);
}
}

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@ -0,0 +1,65 @@
package com.taosdata;
import com.taosdata.jdbc.tmq.TMQConstants;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.Properties;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import static com.taosdata.Config.*;
public class ConsumerDemo {
public static void main(String[] args) throws SQLException {
// Config
Config config = Config.getFromENV();
// Generated data
mockData();
Properties prop = new Properties();
prop.setProperty(TMQConstants.CONNECT_TYPE, config.getType());
prop.setProperty(TMQConstants.BOOTSTRAP_SERVERS, config.getHost() + ":" + config.getPort());
prop.setProperty(TMQConstants.CONNECT_USER, "root");
prop.setProperty(TMQConstants.CONNECT_PASS, "taosdata");
prop.setProperty(TMQConstants.MSG_WITH_TABLE_NAME, "true");
prop.setProperty(TMQConstants.ENABLE_AUTO_COMMIT, "true");
prop.setProperty(TMQConstants.GROUP_ID, "gId");
prop.setProperty(TMQConstants.VALUE_DESERIALIZER, "com.taosdata.BeanDeserializer");
for (int i = 0; i < config.getConsumerNum() - 1; i++) {
new Thread(new Worker(prop, config)).start();
}
new Worker(prop, config).run();
}
public static void mockData() throws SQLException {
String dbName = "test_consumer";
String tableName = "st";
String url = "jdbc:TAOS-RS://" + TAOS_HOST + ":" + TAOS_PORT + "/?user=root&password=taosdata&batchfetch=true";
Connection connection = DriverManager.getConnection(url);
Statement statement = connection.createStatement();
statement.executeUpdate("create database if not exists " + dbName + " WAL_RETENTION_PERIOD 3650");
statement.executeUpdate("use " + dbName);
statement.executeUpdate("create table if not exists " + tableName + " (ts timestamp, c1 int, c2 nchar(100)) ");
statement.executeUpdate("create topic if not exists " + TOPIC + " as select ts, c1, c2 from " + tableName);
ScheduledExecutorService scheduledExecutorService = Executors.newSingleThreadScheduledExecutor(r -> {
Thread t = new Thread(r);
t.setName("mock-data-thread-" + t.getId());
return t;
});
AtomicInteger atomic = new AtomicInteger();
scheduledExecutorService.scheduleWithFixedDelay(() -> {
int i = atomic.getAndIncrement();
try {
statement.executeUpdate("insert into " + tableName + " values(now, " + i + ",'" + i + "')");
} catch (SQLException e) {
// ignore
}
}, 0, 10, TimeUnit.MILLISECONDS);
}
}

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@ -0,0 +1,60 @@
package com.taosdata;
import com.google.common.util.concurrent.RateLimiter;
import com.taosdata.jdbc.tmq.ConsumerRecord;
import com.taosdata.jdbc.tmq.ConsumerRecords;
import com.taosdata.jdbc.tmq.TaosConsumer;
import java.sql.SQLException;
import java.time.Duration;
import java.time.LocalDateTime;
import java.util.Collections;
import java.util.Properties;
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.Semaphore;
public class Worker implements Runnable {
int sleepTime;
int rate;
ForkJoinPool pool = new ForkJoinPool();
Semaphore semaphore;
TaosConsumer<Bean> consumer;
public Worker(Properties prop, Config config) throws SQLException {
consumer = new TaosConsumer<>(prop);
consumer.subscribe(Collections.singletonList(Config.TOPIC));
semaphore = new Semaphore(config.getProcessCapacity());
sleepTime = config.getPollSleep();
rate = config.getRate();
}
@Override
public void run() {
while (!Thread.interrupted()) {
try {
// 控制请求频率
if (semaphore.tryAcquire()) {
ConsumerRecords<Bean> records = consumer.poll(Duration.ofMillis(sleepTime));
pool.submit(() -> {
RateLimiter limiter = RateLimiter.create(rate);
try {
for (ConsumerRecord<Bean> record : records) {
// 流量控制
limiter.acquire();
// 业务处理数据
System.out.println("[" + LocalDateTime.now() + "] Thread id:" + Thread.currentThread().getId() + " -> " + record.value());
}
} finally {
semaphore.release();
}
});
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}
}

View File

@ -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://localhost:6041/test?timezone=UTC-8&charset=UTF-8&locale=en_US.UTF-8
spring.datasource.url=jdbc:TAOS-RS://localhost:6041/test
spring.datasource.username=root
spring.datasource.password=taosdata
spring.datasource.druid.initial-size=5

View File

@ -42,27 +42,27 @@ IF (TD_LINUX)
)
target_link_libraries(tmq
taos_static
taos
)
target_link_libraries(stream_demo
taos_static
taos
)
target_link_libraries(schemaless
taos_static
taos
)
target_link_libraries(prepare
taos_static
taos
)
target_link_libraries(demo
taos_static
taos
)
target_link_libraries(asyncdemo
taos_static
taos
)
SET_TARGET_PROPERTIES(tmq PROPERTIES OUTPUT_NAME tmq)

View File

@ -231,6 +231,7 @@ typedef struct SColumnInfoData {
};
SColumnInfo info; // column info
bool hasNull; // if current column data has null value.
bool reassigned; // if current column data is reassigned.
} SColumnInfoData;
typedef struct SQueryTableDataCond {

View File

@ -178,6 +178,7 @@ int32_t getJsonValueLen(const char* data);
int32_t colDataSetVal(SColumnInfoData* pColumnInfoData, uint32_t rowIndex, const char* pData, bool isNull);
int32_t colDataAppend(SColumnInfoData* pColumnInfoData, uint32_t rowIndex, const char* pData, bool isNull);
int32_t colDataReassignVal(SColumnInfoData* pColumnInfoData, uint32_t dstRowIdx, uint32_t srcRowIdx, const char* pData);
int32_t colDataSetNItems(SColumnInfoData* pColumnInfoData, uint32_t rowIndex, const char* pData, uint32_t numOfRows, bool trimValue);
int32_t colDataMergeCol(SColumnInfoData* pColumnInfoData, int32_t numOfRow1, int32_t* capacity,
const SColumnInfoData* pSource, int32_t numOfRow2);
@ -247,6 +248,7 @@ int32_t buildSubmitReqFromDataBlock(SSubmitReq2** pReq, const SSDataBlock* pData
tb_uid_t suid);
char* buildCtbNameByGroupId(const char* stbName, uint64_t groupId);
int32_t buildCtbNameByGroupIdImpl(const char* stbName, uint64_t groupId, char* pBuf);
static FORCE_INLINE int32_t blockGetEncodeSize(const SSDataBlock* pBlock) {
return blockDataGetSerialMetaSize(taosArrayGetSize(pBlock->pDataBlock)) + blockDataGetSize(pBlock);

View File

@ -82,6 +82,7 @@ extern int64_t tsVndCommitMaxIntervalMs;
// mnode
extern int64_t tsMndSdbWriteDelta;
extern int64_t tsMndLogRetention;
extern bool tsMndSkipGrant;
// monitor
extern bool tsEnableMonitor;

View File

@ -1975,6 +1975,7 @@ typedef struct {
SArray* fillNullCols; // array of SColLocation
int64_t deleteMark;
int8_t igUpdate;
int64_t lastTs;
} SCMCreateStreamReq;
typedef struct {
@ -2494,6 +2495,7 @@ typedef struct {
int64_t stime; // timestamp precision ms
int64_t reqRid;
bool stableQuery;
bool isSubQuery;
char fqdn[TSDB_FQDN_LEN];
int32_t subPlanNum;
SArray* subDesc; // SArray<SQuerySubDesc>

View File

@ -150,7 +150,7 @@ enum {
TD_DEF_MSG_TYPE(TDMT_MND_TMQ_HB, "consumer-hb", NULL, NULL)
TD_DEF_MSG_TYPE(TDMT_MND_TMQ_DO_REBALANCE, "do-rebalance", SMqDoRebalanceMsg, NULL)
TD_DEF_MSG_TYPE(TDMT_MND_TMQ_DROP_CGROUP, "drop-cgroup", SMqDropCGroupReq, SMqDropCGroupRsp)
TD_DEF_MSG_TYPE(TDMT_MND_UNUSED2, "unused2", NULL, NULL)
TD_DEF_MSG_TYPE(TDMT_MND_CREATE_VG, "create-vg", NULL, NULL)
TD_DEF_MSG_TYPE(TDMT_MND_TMQ_TIMER, "tmq-tmr", SMTimerReq, NULL)
TD_DEF_MSG_TYPE(TDMT_MND_TELEM_TIMER, "telem-tmr", SMTimerReq, SMTimerReq)
TD_DEF_MSG_TYPE(TDMT_MND_TRANS_TIMER, "trans-tmr", NULL, NULL)

View File

@ -87,6 +87,7 @@ typedef struct SCatalogReq {
bool dNodeRequired; // valid dnode
bool svrVerRequired;
bool forceUpdate;
bool cloned;
} SCatalogReq;
typedef struct SMetaRes {

View File

@ -16,13 +16,13 @@
#ifndef TDENGINE_STORAGEAPI_H
#define TDENGINE_STORAGEAPI_H
#include "tsimplehash.h"
#include "tscalablebf.h"
#include "taosdef.h"
#include "tmsg.h"
#include "tcommon.h"
#include "index.h"
#include "function.h"
#include "index.h"
#include "taosdef.h"
#include "tcommon.h"
#include "tmsg.h"
#include "tscalablebf.h"
#include "tsimplehash.h"
#ifdef __cplusplus
extern "C" {
@ -88,12 +88,14 @@ typedef struct SMetaReader {
} SMetaReader;
typedef struct SMTbCursor {
void* pMeta;
void* pDbc;
void* pKey;
void* pVal;
int32_t kLen;
int32_t vLen;
SMetaReader mr;
int8_t paused;
} SMTbCursor;
typedef struct SRowBuffPos {
@ -139,10 +141,9 @@ typedef struct {
// int32_t tqReaderSeek(STqReader *pReader, int64_t ver, const char *id);
// bool tqNextBlockInWal(STqReader* pReader, const char* idstr);
// bool tqNextBlockImpl(STqReader *pReader, const char* idstr);
// int32_t getTableInfoFromSnapshot(SSnapContext *ctx, void **pBuf, int32_t *contLen, int16_t *type, int64_t *uid);
// SMetaTableInfo getMetaTableInfoFromSnapshot(SSnapContext *ctx);
// int32_t setForSnapShot(SSnapContext *ctx, int64_t uid);
// int32_t destroySnapContext(SSnapContext *ctx);
// int32_t getTableInfoFromSnapshot(SSnapContext *ctx, void **pBuf, int32_t *contLen, int16_t *type, int64_t
// *uid); SMetaTableInfo getMetaTableInfoFromSnapshot(SSnapContext *ctx); int32_t setForSnapShot(SSnapContext
// *ctx, int64_t uid); int32_t destroySnapContext(SSnapContext *ctx);
// clang-format off
/*-------------------------------------------------new api format---------------------------------------------------*/
@ -252,12 +253,15 @@ int32_t metaUidFilterCachePut(SMeta *pMeta, uint64_t suid, const void *pKey, in
int32_t payloadLen, double selectivityRatio);
tb_uid_t metaGetTableEntryUidByName(SMeta *pMeta, const char *name);
int32_t metaGetCachedTbGroup(SMeta* pMeta, tb_uid_t suid, const uint8_t* pKey, int32_t keyLen, SArray** pList);
int32_t metaPutTbGroupToCache(SMeta* pMeta, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload, int32_t payloadLen);
int32_t metaPutTbGroupToCache(SMeta* pMeta, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload, int32_t
payloadLen);
*/
typedef struct SStoreMeta {
SMTbCursor* (*openTableMetaCursor)(void* pVnode); // metaOpenTbCursor
void (*closeTableMetaCursor)(SMTbCursor* pTbCur); // metaCloseTbCursor
void (*pauseTableMetaCursor)(SMTbCursor* pTbCur); // metaPauseTbCursor
void (*resumeTableMetaCursor)(SMTbCursor* pTbCur, int8_t first); // metaResumeTbCursor
int32_t (*cursorNext)(SMTbCursor* pTbCur, ETableType jumpTableType); // metaTbCursorNext
int32_t (*cursorPrev)(SMTbCursor* pTbCur, ETableType jumpTableType); // metaTbCursorPrev
@ -271,14 +275,19 @@ typedef struct SStoreMeta {
bool (*isTableExisted)(void* pVnode, tb_uid_t uid);
int32_t (*metaGetCachedTbGroup)(void* pVnode, tb_uid_t suid, const uint8_t* pKey, int32_t keyLen, SArray** pList);
int32_t (*metaPutTbGroupToCache)(void* pVnode, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload, int32_t payloadLen);
int32_t (*metaPutTbGroupToCache)(void* pVnode, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload,
int32_t payloadLen);
int32_t (*getCachedTableList)(void* pVnode, tb_uid_t suid, const uint8_t* pKey, int32_t keyLen, SArray* pList1, bool* acquireRes);
int32_t (*putCachedTableList)(void* pVnode, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload, int32_t payloadLen, double selectivityRatio);
int32_t (*getCachedTableList)(void* pVnode, tb_uid_t suid, const uint8_t* pKey, int32_t keyLen, SArray* pList1,
bool* acquireRes);
int32_t (*putCachedTableList)(void* pVnode, uint64_t suid, const void* pKey, int32_t keyLen, void* pPayload,
int32_t payloadLen, double selectivityRatio);
void* (*storeGetIndexInfo)();
void* (*getInvertIndex)(void* pVnode);
int32_t (*getChildTableList)(void *pVnode, int64_t suid, SArray *list); // support filter and non-filter cases. [vnodeGetCtbIdList & vnodeGetCtbIdListByFilter]
int32_t (*getChildTableList)(
void* pVnode, int64_t suid,
SArray* list); // support filter and non-filter cases. [vnodeGetCtbIdList & vnodeGetCtbIdListByFilter]
int32_t (*storeGetTableList)(void* pVnode, int8_t type, SArray* pList); // vnodeGetStbIdList & vnodeGetAllTableList
void* storeGetVersionRange;
void* storeGetLastTimestamp;
@ -286,8 +295,12 @@ typedef struct SStoreMeta {
int32_t (*getTableSchema)(void* pVnode, int64_t uid, STSchema** pSchema, int64_t* suid); // tsdbGetTableSchema
// db name, vgId, numOfTables, numOfSTables
int32_t (*getNumOfChildTables)(void* pVnode, int64_t uid, int64_t* numOfTables); // int32_t metaGetStbStats(SMeta *pMeta, int64_t uid, SMetaStbStats *pInfo);
void (*getBasicInfo)(void *pVnode, const char **dbname, int32_t *vgId, int64_t* numOfTables, int64_t* numOfNormalTables);// vnodeGetInfo(void *pVnode, const char **dbname, int32_t *vgId) & metaGetTbNum(SMeta *pMeta) & metaGetNtbNum(SMeta *pMeta);
int32_t (*getNumOfChildTables)(
void* pVnode, int64_t uid,
int64_t* numOfTables); // int32_t metaGetStbStats(SMeta *pMeta, int64_t uid, SMetaStbStats *pInfo);
void (*getBasicInfo)(void* pVnode, const char** dbname, int32_t* vgId, int64_t* numOfTables,
int64_t* numOfNormalTables); // vnodeGetInfo(void *pVnode, const char **dbname, int32_t *vgId) &
// metaGetTbNum(SMeta *pMeta) & metaGetNtbNum(SMeta *pMeta);
int64_t (*getNumOfRowsInMem)(void* pVnode);
/**
@ -362,7 +375,8 @@ typedef struct SStateStore {
int32_t (*streamStateGetGroupKVByCur)(SStreamStateCur* pCur, SWinKey* pKey, const void** pVal, int32_t* pVLen);
int32_t (*streamStateGetKVByCur)(SStreamStateCur* pCur, SWinKey* pKey, const void** pVal, int32_t* pVLen);
int32_t (*streamStateSessionAddIfNotExist)(SStreamState* pState, SSessionKey* key, TSKEY gap, void** pVal, int32_t* pVLen);
int32_t (*streamStateSessionAddIfNotExist)(SStreamState* pState, SSessionKey* key, TSKEY gap, void** pVal,
int32_t* pVLen);
int32_t (*streamStateSessionPut)(SStreamState* pState, const SSessionKey* key, const void* value, int32_t vLen);
int32_t (*streamStateSessionGet)(SStreamState* pState, SSessionKey* key, void** pVal, int32_t* pVLen);
int32_t (*streamStateSessionDel)(SStreamState* pState, const SSessionKey* key);

View File

@ -163,6 +163,7 @@ typedef struct {
int64_t checkPointId;
int32_t taskId;
int64_t streamId;
int64_t streamBackendRid;
} SStreamState;
typedef struct SFunctionStateStore {

View File

@ -233,6 +233,7 @@ bool fmIsGroupKeyFunc(int32_t funcId);
bool fmIsBlockDistFunc(int32_t funcId);
void getLastCacheDataType(SDataType* pType);
SFunctionNode* createFunction(const char* pName, SNodeList* pParameterList);
int32_t fmGetDistMethod(const SFunctionNode* pFunc, SFunctionNode** pPartialFunc, SFunctionNode** pMergeFunc);

View File

@ -432,9 +432,11 @@ typedef struct SCreateStreamStmt {
bool ignoreExists;
SStreamOptions* pOptions;
SNode* pQuery;
SNode* pPrevQuery;
SNodeList* pTags;
SNode* pSubtable;
SNodeList* pCols;
SCMCreateStreamReq* pReq;
} SCreateStreamStmt;
typedef struct SDropStreamStmt {

View File

@ -328,6 +328,8 @@ void nodesListInsertList(SNodeList* pTarget, SListCell* pPos, SNodeList* p
SNode* nodesListGetNode(SNodeList* pList, int32_t index);
SListCell* nodesListGetCell(SNodeList* pList, int32_t index);
void nodesDestroyList(SNodeList* pList);
bool nodesListMatch(const SNodeList* pList, const SNodeList* pSubList);
// Only clear the linked list structure, without releasing the elements inside
void nodesClearList(SNodeList* pList);
@ -346,6 +348,7 @@ void nodesRewriteExprPostOrder(SNode** pNode, FNodeRewriter rewriter, void* pCon
void nodesRewriteExprsPostOrder(SNodeList* pList, FNodeRewriter rewriter, void* pContext);
bool nodesEqualNode(const SNode* a, const SNode* b);
bool nodesMatchNode(const SNode* pSub, const SNode* pNode);
SNode* nodesCloneNode(const SNode* pNode);
SNodeList* nodesCloneList(const SNodeList* pList);

View File

@ -617,6 +617,7 @@ typedef struct SQueryPlan {
int32_t numOfSubplans;
SNodeList* pSubplans; // Element is SNodeListNode. The execution level of subplan, starting from 0.
SExplainInfo explainInfo;
void* pPostPlan;
} SQueryPlan;
const char* dataOrderStr(EDataOrderLevel order);

View File

@ -241,6 +241,12 @@ typedef enum EFillMode {
FILL_MODE_NEXT
} EFillMode;
typedef enum ETimeLineMode {
TIME_LINE_NONE = 1,
TIME_LINE_MULTI,
TIME_LINE_GLOBAL,
} ETimeLineMode;
typedef struct SFillNode {
ENodeType type; // QUERY_NODE_FILL
EFillMode mode;
@ -285,8 +291,8 @@ typedef struct SSelectStmt {
uint8_t precision;
int32_t selectFuncNum;
int32_t returnRows; // EFuncReturnRows
ETimeLineMode timeLineResMode;
bool isEmptyResult;
bool isTimeLineResult;
bool isSubquery;
bool hasAggFuncs;
bool hasRepeatScanFuncs;
@ -321,6 +327,7 @@ typedef struct SSetOperator {
SNode* pLimit;
char stmtName[TSDB_TABLE_NAME_LEN];
uint8_t precision;
ETimeLineMode timeLineResMode;
} SSetOperator;
typedef enum ESqlClause {
@ -434,7 +441,9 @@ typedef struct SQuery {
EQueryExecStage execStage;
EQueryExecMode execMode;
bool haveResultSet;
SNode* pPrevRoot;
SNode* pRoot;
SNode* pPostRoot;
int32_t numOfResCols;
SSchema* pResSchema;
int8_t precision;

View File

@ -74,6 +74,7 @@ int32_t qAnalyseSqlSemantic(SParseContext* pCxt, const struct SCatalogReq* pCata
const struct SMetaData* pMetaData, SQuery* pQuery);
int32_t qContinueParseSql(SParseContext* pCxt, struct SCatalogReq* pCatalogReq, const struct SMetaData* pMetaData,
SQuery* pQuery);
int32_t qContinueParsePostQuery(SParseContext* pCxt, SQuery* pQuery, void** pResRow);
void qDestroyParseContext(SParseContext* pCxt);

View File

@ -52,6 +52,7 @@ int32_t qCreateQueryPlan(SPlanContext* pCxt, SQueryPlan** pPlan, SArray* pExecNo
// @groupId id of a group of datasource subplans of this @pSubplan
// @pSource one execution location of this group of datasource subplans
int32_t qSetSubplanExecutionNode(SSubplan* pSubplan, int32_t groupId, SDownstreamSourceNode* pSource);
int32_t qContinuePlanPostQuery(void *pPostPlan);
void qClearSubplanExecutionNode(SSubplan* pSubplan);

View File

@ -327,6 +327,7 @@ struct SStreamTask {
int64_t checkpointingId;
int32_t checkpointAlignCnt;
struct SStreamMeta* pMeta;
SSHashObj* pNameMap;
};
// meta
@ -344,7 +345,6 @@ typedef struct SStreamMeta {
SRWLatch lock;
int32_t walScanCounter;
void* streamBackend;
int32_t streamBackendId;
int64_t streamBackendRid;
SHashObj* pTaskBackendUnique;
} SStreamMeta;

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@ -154,14 +154,14 @@ typedef struct SSnapshotMeta {
typedef struct SSyncFSM {
void* data;
int32_t (*FpCommitCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, const SFsmCbMeta* pMeta);
int32_t (*FpCommitCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, SFsmCbMeta* pMeta);
SyncIndex (*FpAppliedIndexCb)(const struct SSyncFSM* pFsm);
int32_t (*FpPreCommitCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, const SFsmCbMeta* pMeta);
void (*FpRollBackCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, const SFsmCbMeta* pMeta);
int32_t (*FpPreCommitCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, SFsmCbMeta* pMeta);
void (*FpRollBackCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, SFsmCbMeta* pMeta);
void (*FpRestoreFinishCb)(const struct SSyncFSM* pFsm, const SyncIndex commitIdx);
void (*FpReConfigCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, const SReConfigCbMeta* pMeta);
void (*FpLeaderTransferCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, const SFsmCbMeta* pMeta);
void (*FpReConfigCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, SReConfigCbMeta* pMeta);
void (*FpLeaderTransferCb)(const struct SSyncFSM* pFsm, SRpcMsg* pMsg, SFsmCbMeta* pMeta);
bool (*FpApplyQueueEmptyCb)(const struct SSyncFSM* pFsm);
int32_t (*FpApplyQueueItems)(const struct SSyncFSM* pFsm);

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@ -214,7 +214,7 @@ int32_t walSkipFetchBody(SWalReader *pRead, const SWalCkHead *pHead);
void walRefFirstVer(SWal *, SWalRef *);
void walRefLastVer(SWal *, SWalRef *);
SWalRef *walRefCommittedVer(SWal *);
void walRefCommitVer(SWal *, SWalRef *);
SWalRef *walOpenRef(SWal *);
void walCloseRef(SWal *pWal, int64_t refId);

View File

@ -22,21 +22,20 @@ extern "C" {
// If the error is in a third-party library, place this header file under the third-party library header file.
// When you want to use this feature, you should find or add the same function in the following sectio
// #if !defined(WINDOWS)
#if !defined(WINDOWS)
// #ifndef ALLOW_FORBID_FUNC
// #define malloc MALLOC_FUNC_TAOS_FORBID
// #define calloc CALLOC_FUNC_TAOS_FORBID
// #define realloc REALLOC_FUNC_TAOS_FORBID
// #define free FREE_FUNC_TAOS_FORBID
// #ifdef strdup
// #undef strdup
// #define strdup STRDUP_FUNC_TAOS_FORBID
// #endif
// #endif // ifndef ALLOW_FORBID_FUNC
// #endif // if !defined(WINDOWS)
#ifndef ALLOW_FORBID_FUNC
#define malloc MALLOC_FUNC_TAOS_FORBID
#define calloc CALLOC_FUNC_TAOS_FORBID
#define realloc REALLOC_FUNC_TAOS_FORBID
#define free FREE_FUNC_TAOS_FORBID
#ifdef strdup
#undef strdup
#define strdup STRDUP_FUNC_TAOS_FORBID
#endif
#endif // ifndef ALLOW_FORBID_FUNC
#endif // if !defined(WINDOWS)
// // #define taosMemoryFree malloc
// #define taosMemoryMalloc malloc
// #define taosMemoryCalloc calloc
// #define taosMemoryRealloc realloc

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@ -31,7 +31,7 @@ typedef void *(*__array_item_dup_fn_t)(void *);
typedef void (*FDelete)(void *);
typedef int32_t (*FEncode)(void **buf, const void *dst);
typedef void *(*FDecode)(const void *buf, void *dst);
typedef void *(*FDecode)(const void *buf, void *dst, int8_t sver);
#define TD_EQ 0x1
#define TD_GT 0x2

View File

@ -345,7 +345,7 @@ int32_t* taosGetErrno();
#define TSDB_CODE_MND_TRANS_CLOG_IS_NULL TAOS_DEF_ERROR_CODE(0, 0x03D4)
#define TSDB_CODE_MND_TRANS_NETWORK_UNAVAILL TAOS_DEF_ERROR_CODE(0, 0x03D5)
#define TSDB_CODE_MND_LAST_TRANS_NOT_FINISHED TAOS_DEF_ERROR_CODE(0, 0x03D6) //internal
#define TSDB_CODE_MND_TRNAS_SYNC_TIMEOUT TAOS_DEF_ERROR_CODE(0, 0x03D7)
#define TSDB_CODE_MND_TRANS_SYNC_TIMEOUT TAOS_DEF_ERROR_CODE(0, 0x03D7)
#define TSDB_CODE_MND_TRANS_UNKNOW_ERROR TAOS_DEF_ERROR_CODE(0, 0x03DF)
// mnode-mq

View File

@ -244,7 +244,7 @@ int32_t taosArraySearchIdx(const SArray* pArray, const void* key, __compar_fn_t
void taosArraySortPWithExt(SArray* pArray, __ext_compar_fn_t fn, const void* param);
int32_t taosEncodeArray(void** buf, const SArray* pArray, FEncode encode);
void* taosDecodeArray(const void* buf, SArray** pArray, FDecode decode, int32_t dataSz);
void* taosDecodeArray(const void* buf, SArray** pArray, FDecode decode, int32_t dataSz, int8_t sver);
#ifdef __cplusplus
}

View File

@ -32,7 +32,7 @@ extern "C" {
#define TD_VER_MAX UINT64_MAX // TODO: use the real max version from query handle
// Bytes for each type.
extern const int32_t TYPE_BYTES[17];
extern const int32_t TYPE_BYTES[21];
// TODO: replace and remove code below
#define CHAR_BYTES sizeof(char)

View File

@ -80,5 +80,4 @@ fi
# there can not libtaos.so*, otherwise ln -s error
${csudo}rm -f ${install_main_dir}/driver/libtaos.* || :
[ -f ${install_main_dir}/driver/librocksdb.* ] && ${csudo}rm -f ${install_main_dir}/driver/librocksdb.* || :
[ -f ${install_main_dir}/driver/libtaosws.so ] && ${csudo}rm -f ${install_main_dir}/driver/libtaosws.so || :

View File

@ -40,7 +40,6 @@ else
${csudo}rm -f ${inc_link_dir}/taosudf.h || :
[ -f ${inc_link_dir}/taosws.h ] && ${csudo}rm -f ${inc_link_dir}/taosws.h || :
${csudo}rm -f ${lib_link_dir}/libtaos.* || :
[ -f ${lib_link_dir}/librocksdb.* ] && ${csudo}rm -f ${lib_link_dir}/librocksdb.* || :
[ -f ${lib_link_dir}/libtaosws.so ] && ${csudo}rm -f ${lib_link_dir}/libtaosws.so || :
${csudo}rm -f ${log_link_dir} || :

View File

@ -31,7 +31,6 @@ cd ${pkg_dir}
libfile="libtaos.so.${tdengine_ver}"
wslibfile="libtaosws.so"
rocksdblib="librocksdb.so.8"
# create install dir
install_home_path="/usr/local/taos"
@ -95,7 +94,6 @@ fi
cp ${compile_dir}/build/bin/taos ${pkg_dir}${install_home_path}/bin
cp ${compile_dir}/build/lib/${libfile} ${pkg_dir}${install_home_path}/driver
[ -f ${compile_dir}/build/lib/${rocksdblib} ] && cp ${compile_dir}/build/lib/${rocksdblib} ${pkg_dir}${install_home_path}/driver ||:
[ -f ${compile_dir}/build/lib/${wslibfile} ] && cp ${compile_dir}/build/lib/${wslibfile} ${pkg_dir}${install_home_path}/driver ||:
cp ${compile_dir}/../include/client/taos.h ${pkg_dir}${install_home_path}/include
cp ${compile_dir}/../include/common/taosdef.h ${pkg_dir}${install_home_path}/include

View File

@ -45,7 +45,6 @@ echo buildroot: %{buildroot}
libfile="libtaos.so.%{_version}"
wslibfile="libtaosws.so"
rocksdblib="librocksdb.so.8"
# create install path, and cp file
mkdir -p %{buildroot}%{homepath}/bin
@ -93,7 +92,6 @@ if [ -f %{_compiledir}/build/bin/taosadapter ]; then
fi
cp %{_compiledir}/build/lib/${libfile} %{buildroot}%{homepath}/driver
[ -f %{_compiledir}/build/lib/${wslibfile} ] && cp %{_compiledir}/build/lib/${wslibfile} %{buildroot}%{homepath}/driver ||:
[ -f %{_compiledir}/build/lib/${rocksdblib} ] && cp %{_compiledir}/build/lib/${rocksdblib} %{buildroot}%{homepath}/driver ||:
cp %{_compiledir}/../include/client/taos.h %{buildroot}%{homepath}/include
cp %{_compiledir}/../include/common/taosdef.h %{buildroot}%{homepath}/include
cp %{_compiledir}/../include/util/taoserror.h %{buildroot}%{homepath}/include
@ -176,7 +174,6 @@ fi
# there can not libtaos.so*, otherwise ln -s error
${csudo}rm -f %{homepath}/driver/libtaos* || :
${csudo}rm -f %{homepath}/driver/librocksdb* || :
#Scripts executed after installation
%post
@ -222,7 +219,6 @@ if [ $1 -eq 0 ];then
${csudo}rm -f ${inc_link_dir}/taoserror.h || :
${csudo}rm -f ${inc_link_dir}/taosudf.h || :
${csudo}rm -f ${lib_link_dir}/libtaos.* || :
${csudo}rm -f ${lib_link_dir}/librocksdb.* || :
${csudo}rm -f ${log_link_dir} || :
${csudo}rm -f ${data_link_dir} || :

View File

@ -250,30 +250,18 @@ function install_lib() {
# Remove links
${csudo}rm -f ${lib_link_dir}/libtaos.* || :
${csudo}rm -f ${lib64_link_dir}/libtaos.* || :
${csudo}rm -f ${lib_link_dir}/librocksdb.* || :
${csudo}rm -f ${lib64_link_dir}/librocksdb.* || :
#${csudo}rm -rf ${v15_java_app_dir} || :
${csudo}cp -rf ${script_dir}/driver/* ${install_main_dir}/driver && ${csudo}chmod 777 ${install_main_dir}/driver/*
${csudo}ln -sf ${install_main_dir}/driver/libtaos.* ${lib_link_dir}/libtaos.so.1
${csudo}ln -sf ${lib_link_dir}/libtaos.so.1 ${lib_link_dir}/libtaos.so
${csudo}ln -sf ${install_main_dir}/driver/librocksdb.* ${lib_link_dir}/librocksdb.so.8
${csudo}ln -sf ${lib_link_dir}/librocksdb.so.8 ${lib_link_dir}/librocksdb.so
${csudo}ln -sf ${install_main_dir}/driver/librocksdb.* ${lib_link_dir}/librocksdb.so.8
${csudo}ln -sf ${lib_link_dir}/librocksdb.so.8 ${lib_link_dir}/librocksdb.so
[ -f ${install_main_dir}/driver/libtaosws.so ] && ${csudo}ln -sf ${install_main_dir}/driver/libtaosws.so ${lib_link_dir}/libtaosws.so || :
if [[ -d ${lib64_link_dir} && ! -e ${lib64_link_dir}/libtaos.so ]]; then
${csudo}ln -sf ${install_main_dir}/driver/libtaos.* ${lib64_link_dir}/libtaos.so.1 || :
${csudo}ln -sf ${lib64_link_dir}/libtaos.so.1 ${lib64_link_dir}/libtaos.so || :
${csudo}ln -sf ${install_main_dir}/driver/librocksdb.* ${lib64_link_dir}/librocksdb.so.8 || :
${csudo}ln -sf ${lib64_link_dir}/librocksdb.so.8 ${lib64_link_dir}/librocksdb.so || :
[ -f ${install_main_dir}/libtaosws.so ] && ${csudo}ln -sf ${install_main_dir}/libtaosws.so ${lib64_link_dir}/libtaosws.so || :
fi

View File

@ -111,11 +111,9 @@ fi
if [ "$osType" == "Darwin" ]; then
lib_files="${build_dir}/lib/libtaos.${version}.dylib"
wslib_files="${build_dir}/lib/libtaosws.dylib"
rocksdb_lib_files="${build_dir}/lib/librocksdb.dylib.8.1.1"
else
lib_files="${build_dir}/lib/libtaos.so.${version}"
wslib_files="${build_dir}/lib/libtaosws.so"
rocksdb_lib_files="${build_dir}/lib/librocksdb.so.8.1.1"
fi
header_files="${code_dir}/include/client/taos.h ${code_dir}/include/common/taosdef.h ${code_dir}/include/util/taoserror.h ${code_dir}/include/libs/function/taosudf.h"
@ -338,7 +336,6 @@ fi
# Copy driver
mkdir -p ${install_dir}/driver && cp ${lib_files} ${install_dir}/driver && echo "${versionComp}" >${install_dir}/driver/vercomp.txt
[ -f ${wslib_files} ] && cp ${wslib_files} ${install_dir}/driver || :
[ -f ${rocksdb_lib_files} ] && cp ${rocksdb_lib_files} ${install_dir}/driver || :
# Copy connector
if [ "$verMode" == "cluster" ]; then

View File

@ -203,18 +203,9 @@ function install_lib() {
${csudo}rm -f ${lib_link_dir}/libtaos* || :
${csudo}rm -f ${lib64_link_dir}/libtaos* || :
#rocksdb
[ -f ${lib_link_dir}/librocksdb* ] && ${csudo}rm -f ${lib_link_dir}/librocksdb* || :
[ -f ${lib64_link_dir}/librocksdb* ] && ${csudo}rm -f ${lib64_link_dir}/librocksdb* || :
#rocksdb
[ -f ${lib_link_dir}/librocksdb* ] && ${csudo}rm -f ${lib_link_dir}/librocksdb* || :
[ -f ${lib64_link_dir}/librocksdb* ] && ${csudo}rm -f ${lib64_link_dir}/librocksdb* || :
[ -f ${lib_link_dir}/libtaosws.${lib_file_ext} ] && ${csudo}rm -f ${lib_link_dir}/libtaosws.${lib_file_ext} || :
[ -f ${lib64_link_dir}/libtaosws.${lib_file_ext} ] && ${csudo}rm -f ${lib64_link_dir}/libtaosws.${lib_file_ext} || :
${csudo}ln -s ${lib_dir}/librocksdb.* ${lib_link_dir}/librocksdb.${lib_file_ext_1} 2>>${install_log_path} || return 1
${csudo}ln -s ${lib_dir}/libtaos.* ${lib_link_dir}/libtaos.${lib_file_ext_1} 2>>${install_log_path} || return 1
${csudo}ln -s ${lib_link_dir}/libtaos.${lib_file_ext_1} ${lib_link_dir}/libtaos.${lib_file_ext} 2>>${install_log_path} || return 1
@ -223,7 +214,6 @@ function install_lib() {
if [[ -d ${lib64_link_dir} && ! -e ${lib64_link_dir}/libtaos.${lib_file_ext} ]]; then
${csudo}ln -s ${lib_dir}/libtaos.* ${lib64_link_dir}/libtaos.${lib_file_ext_1} 2>>${install_log_path} || return 1
${csudo}ln -s ${lib64_link_dir}/libtaos.${lib_file_ext_1} ${lib64_link_dir}/libtaos.${lib_file_ext} 2>>${install_log_path} || return 1
${csudo}ln -s ${lib_dir}/librocksdb.* ${lib64_link_dir}/librocksdb.${lib_file_ext_1} 2>>${install_log_path} || return 1
[ -f ${lib_dir}/libtaosws.${lib_file_ext} ] && ${csudo}ln -sf ${lib_dir}/libtaosws.${lib_file_ext} ${lib64_link_dir}/libtaosws.${lib_file_ext} 2>>${install_log_path}
fi

View File

@ -142,11 +142,9 @@ function clean_local_bin() {
function clean_lib() {
# Remove link
${csudo}rm -f ${lib_link_dir}/libtaos.* || :
${csudo}rm -f ${lib_link_dir}/librocksdb.* || :
[ -f ${lib_link_dir}/libtaosws.* ] && ${csudo}rm -f ${lib_link_dir}/libtaosws.* || :
${csudo}rm -f ${lib64_link_dir}/libtaos.* || :
${csudo}rm -f ${lib64_link_dir}/librocksdb.* || :
[ -f ${lib64_link_dir}/libtaosws.* ] && ${csudo}rm -f ${lib64_link_dir}/libtaosws.* || :
#${csudo}rm -rf ${v15_java_app_dir} || :

View File

@ -227,6 +227,12 @@ typedef struct {
STaosxRsp rsp;
} SMqTaosxRspObj;
typedef struct SReqRelInfo {
uint64_t userRefId;
uint64_t prevRefId;
uint64_t nextRefId;
} SReqRelInfo;
typedef struct SRequestObj {
int8_t resType; // query or tmq
uint64_t requestId;
@ -250,10 +256,14 @@ typedef struct SRequestObj {
bool validateOnly; // todo refactor
bool killed;
bool inRetry;
bool isSubReq;
uint32_t prevCode; // previous error code: todo refactor, add update flag for catalog
uint32_t retry;
int64_t allocatorRefId;
SQuery* pQuery;
void* pPostPlan;
SReqRelInfo relation;
void* pWrapper;
} SRequestObj;
typedef struct SSyncQueryParam {
@ -279,6 +289,7 @@ TAOS_RES* taosQueryImplWithReqid(TAOS* taos, const char* sql, bool validateOnly,
void taosAsyncQueryImpl(uint64_t connId, const char* sql, __taos_async_fn_t fp, void* param, bool validateOnly);
void taosAsyncQueryImplWithReqid(uint64_t connId, const char* sql, __taos_async_fn_t fp, void* param, bool validateOnly,
int64_t reqid);
void taosAsyncFetchImpl(SRequestObj *pRequest, __taos_async_fn_t fp, void *param);
int32_t getVersion1BlockMetaSize(const char* p, int32_t numOfCols);
@ -368,6 +379,7 @@ typedef struct SSqlCallbackWrapper {
SParseContext* pParseCtx;
SCatalogReq* pCatalogReq;
SRequestObj* pRequest;
void* pPlanInfo;
} SSqlCallbackWrapper;
SRequestObj* launchQueryImpl(SRequestObj* pRequest, SQuery* pQuery, bool keepQuery, void** res);
@ -382,6 +394,12 @@ int32_t handleCreateTbExecRes(void* res, SCatalog* pCatalog);
bool qnodeRequired(SRequestObj* pRequest);
void continueInsertFromCsv(SSqlCallbackWrapper* pWrapper, SRequestObj* pRequest);
void destorySqlCallbackWrapper(SSqlCallbackWrapper* pWrapper);
void handleQueryAnslyseRes(SSqlCallbackWrapper *pWrapper, SMetaData *pResultMeta, int32_t code);
void restartAsyncQuery(SRequestObj *pRequest, int32_t code);
int32_t buildPreviousRequest(SRequestObj *pRequest, const char* sql, SRequestObj** pNewRequest);
int32_t prepareAndParseSqlSyntax(SSqlCallbackWrapper **ppWrapper, SRequestObj *pRequest, bool updateMetaForce);
void returnToUser(SRequestObj* pRequest);
void stopAllQueries(SRequestObj *pRequest);
#ifdef __cplusplus
}

View File

@ -358,6 +358,49 @@ int32_t releaseRequest(int64_t rid) { return taosReleaseRef(clientReqRefPool, ri
int32_t removeRequest(int64_t rid) { return taosRemoveRef(clientReqRefPool, rid); }
void destroySubRequests(SRequestObj *pRequest) {
int32_t reqIdx = -1;
SRequestObj *pReqList[16] = {NULL};
uint64_t tmpRefId = 0;
if (pRequest->relation.userRefId && pRequest->relation.userRefId != pRequest->self) {
return;
}
SRequestObj* pTmp = pRequest;
while (pTmp->relation.prevRefId) {
tmpRefId = pTmp->relation.prevRefId;
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
pReqList[++reqIdx] = pTmp;
releaseRequest(tmpRefId);
} else {
tscError("0x%" PRIx64 ", prev req ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pTmp->self,
tmpRefId, pTmp->requestId);
break;
}
}
for (int32_t i = reqIdx; i >= 0; i--) {
removeRequest(pReqList[i]->self);
}
tmpRefId = pRequest->relation.nextRefId;
while (tmpRefId) {
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
tmpRefId = pTmp->relation.nextRefId;
removeRequest(pTmp->self);
releaseRequest(pTmp->self);
} else {
tscError("0x%" PRIx64 " is not there", tmpRefId);
break;
}
}
}
void doDestroyRequest(void *p) {
if (NULL == p) {
return;
@ -368,10 +411,14 @@ void doDestroyRequest(void *p) {
uint64_t reqId = pRequest->requestId;
tscTrace("begin to destroy request %" PRIx64 " p:%p", reqId, pRequest);
destroySubRequests(pRequest);
taosHashRemove(pRequest->pTscObj->pRequests, &pRequest->self, sizeof(pRequest->self));
schedulerFreeJob(&pRequest->body.queryJob, 0);
destorySqlCallbackWrapper(pRequest->pWrapper);
taosMemoryFreeClear(pRequest->msgBuf);
taosMemoryFreeClear(pRequest->pDb);
@ -412,6 +459,63 @@ void destroyRequest(SRequestObj *pRequest) {
removeRequest(pRequest->self);
}
void taosStopQueryImpl(SRequestObj *pRequest) {
pRequest->killed = true;
// It is not a query, no need to stop.
if (NULL == pRequest->pQuery || QUERY_EXEC_MODE_SCHEDULE != pRequest->pQuery->execMode) {
tscDebug("request 0x%" PRIx64 " no need to be killed since not query", pRequest->requestId);
return;
}
schedulerFreeJob(&pRequest->body.queryJob, TSDB_CODE_TSC_QUERY_KILLED);
tscDebug("request %" PRIx64 " killed", pRequest->requestId);
}
void stopAllQueries(SRequestObj *pRequest) {
int32_t reqIdx = -1;
SRequestObj *pReqList[16] = {NULL};
uint64_t tmpRefId = 0;
if (pRequest->relation.userRefId && pRequest->relation.userRefId != pRequest->self) {
return;
}
SRequestObj* pTmp = pRequest;
while (pTmp->relation.prevRefId) {
tmpRefId = pTmp->relation.prevRefId;
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
pReqList[++reqIdx] = pTmp;
releaseRequest(tmpRefId);
} else {
tscError("0x%" PRIx64 ", prev req ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pTmp->self,
tmpRefId, pTmp->requestId);
break;
}
}
for (int32_t i = reqIdx; i >= 0; i--) {
taosStopQueryImpl(pReqList[i]);
}
taosStopQueryImpl(pRequest);
tmpRefId = pRequest->relation.nextRefId;
while (tmpRefId) {
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
tmpRefId = pTmp->relation.nextRefId;
taosStopQueryImpl(pTmp);
releaseRequest(pTmp->self);
} else {
tscError("0x%" PRIx64 " is not there", tmpRefId);
break;
}
}
}
void crashReportThreadFuncUnexpectedStopped(void) { atomic_store_32(&clientStop, -1); }
static void *tscCrashReportThreadFp(void *param) {

View File

@ -464,6 +464,7 @@ int32_t hbBuildQueryDesc(SQueryHbReqBasic *hbBasic, STscObj *pObj) {
desc.useconds = now - pRequest->metric.start;
desc.reqRid = pRequest->self;
desc.stableQuery = pRequest->stableQuery;
desc.isSubQuery = pRequest->isSubReq;
taosGetFqdn(desc.fqdn);
desc.subPlanNum = pRequest->body.subplanNum;

View File

@ -237,6 +237,17 @@ int32_t buildRequest(uint64_t connId, const char* sql, int sqlLen, void* param,
return TSDB_CODE_SUCCESS;
}
int32_t buildPreviousRequest(SRequestObj *pRequest, const char* sql, SRequestObj** pNewRequest) {
int32_t code = buildRequest(pRequest->pTscObj->id, sql, strlen(sql), pRequest, pRequest->validateOnly, pNewRequest, 0);
if (TSDB_CODE_SUCCESS == code) {
pRequest->relation.prevRefId = (*pNewRequest)->self;
(*pNewRequest)->relation.nextRefId = pRequest->self;
(*pNewRequest)->relation.userRefId = pRequest->self;
(*pNewRequest)->isSubReq = true;
}
return code;
}
int32_t parseSql(SRequestObj* pRequest, bool topicQuery, SQuery** pQuery, SStmtCallback* pStmtCb) {
STscObj* pTscObj = pRequest->pTscObj;
@ -878,6 +889,81 @@ static bool incompletaFileParsing(SNode* pStmt) {
return QUERY_NODE_VNODE_MODIFY_STMT != nodeType(pStmt) ? false : ((SVnodeModifyOpStmt*)pStmt)->fileProcessing;
}
void continuePostSubQuery(SRequestObj* pRequest, TAOS_ROW row) {
SSqlCallbackWrapper* pWrapper = pRequest->pWrapper;
int32_t code = nodesAcquireAllocator(pWrapper->pParseCtx->allocatorId);
if (TSDB_CODE_SUCCESS == code) {
int64_t analyseStart = taosGetTimestampUs();
code = qContinueParsePostQuery(pWrapper->pParseCtx, pRequest->pQuery, (void**)row);
pRequest->metric.analyseCostUs += taosGetTimestampUs() - analyseStart;
}
if (TSDB_CODE_SUCCESS == code) {
code = qContinuePlanPostQuery(pRequest->pPostPlan);
}
nodesReleaseAllocator(pWrapper->pParseCtx->allocatorId);
handleQueryAnslyseRes(pWrapper, NULL, code);
}
void returnToUser(SRequestObj* pRequest) {
if (pRequest->relation.userRefId == pRequest->self || 0 == pRequest->relation.userRefId) {
// return to client
pRequest->body.queryFp(pRequest->body.param, pRequest, pRequest->code);
return;
}
SRequestObj* pUserReq = acquireRequest(pRequest->relation.userRefId);
if (pUserReq) {
pUserReq->code = pRequest->code;
// return to client
pUserReq->body.queryFp(pUserReq->body.param, pUserReq, pUserReq->code);
releaseRequest(pRequest->relation.userRefId);
return;
} else {
tscError("0x%" PRIx64 ", user ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pRequest->self,
pRequest->relation.userRefId, pRequest->requestId);
}
}
void postSubQueryFetchCb(void* param, TAOS_RES* res, int32_t rowNum) {
SRequestObj* pRequest = (SRequestObj*)res;
if (pRequest->code) {
returnToUser(pRequest);
return;
}
TAOS_ROW row = NULL;
if (rowNum > 0) {
row = taos_fetch_row(res); // for single row only now
}
SRequestObj* pNextReq = acquireRequest(pRequest->relation.nextRefId);
if (pNextReq) {
continuePostSubQuery(pNextReq, row);
releaseRequest(pRequest->relation.nextRefId);
} else {
tscError("0x%" PRIx64 ", next req ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pRequest->self,
pRequest->relation.nextRefId, pRequest->requestId);
}
}
void handlePostSubQuery(SSqlCallbackWrapper* pWrapper) {
SRequestObj* pRequest = pWrapper->pRequest;
if (TD_RES_QUERY(pRequest)) {
taosAsyncFetchImpl(pRequest, postSubQueryFetchCb, pWrapper);
return;
}
SRequestObj* pNextReq = acquireRequest(pRequest->relation.nextRefId);
if (pNextReq) {
continuePostSubQuery(pNextReq, NULL);
releaseRequest(pRequest->relation.nextRefId);
} else {
tscError("0x%" PRIx64 ", next req ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pRequest->self,
pRequest->relation.nextRefId, pRequest->requestId);
}
}
// todo refacto the error code mgmt
void schedulerExecCb(SExecResult* pResult, void* param, int32_t code) {
SSqlCallbackWrapper* pWrapper = param;
@ -912,12 +998,7 @@ void schedulerExecCb(SExecResult* pResult, void* param, int32_t code) {
if (code != TSDB_CODE_SUCCESS && NEED_CLIENT_HANDLE_ERROR(code) && pRequest->sqlstr != NULL) {
tscDebug("0x%" PRIx64 " client retry to handle the error, code:%s, tryCount:%d, reqId:0x%" PRIx64, pRequest->self,
tstrerror(code), pRequest->retry, pRequest->requestId);
pRequest->prevCode = code;
schedulerFreeJob(&pRequest->body.queryJob, 0);
qDestroyQuery(pRequest->pQuery);
pRequest->pQuery = NULL;
destorySqlCallbackWrapper(pWrapper);
doAsyncQuery(pRequest, true);
restartAsyncQuery(pRequest, code);
return;
}
@ -938,11 +1019,16 @@ void schedulerExecCb(SExecResult* pResult, void* param, int32_t code) {
return;
}
if (pRequest->relation.nextRefId) {
handlePostSubQuery(pWrapper);
} else {
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
// return to client
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
}
}
SRequestObj* launchQueryImpl(SRequestObj* pRequest, SQuery* pQuery, bool keepQuery, void** res) {
int32_t code = 0;
@ -1049,6 +1135,7 @@ static int32_t asyncExecSchQuery(SRequestObj* pRequest, SQuery* pQuery, SMetaDat
pRequest->requestId);
} else {
pRequest->body.subplanNum = pDag->numOfSubplans;
TSWAP(pRequest->pPostPlan, pDag->pPostPlan);
}
pRequest->metric.execStart = taosGetTimestampUs();
@ -1084,6 +1171,7 @@ static int32_t asyncExecSchQuery(SRequestObj* pRequest, SQuery* pQuery, SMetaDat
tscDebug("0x%" PRIx64 " plan not executed, code:%s 0x%" PRIx64, pRequest->self, tstrerror(code),
pRequest->requestId);
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
if (TSDB_CODE_SUCCESS != code) {
pRequest->code = terrno;
}
@ -1103,6 +1191,7 @@ void launchAsyncQuery(SRequestObj* pRequest, SQuery* pQuery, SMetaData* pResultM
pRequest->body.execMode = pQuery->execMode;
if (QUERY_EXEC_MODE_SCHEDULE != pRequest->body.execMode) {
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
}
if (pQuery->pRoot && !pRequest->inRetry) {
@ -2402,3 +2491,90 @@ TAOS_RES* taosQueryImplWithReqid(TAOS* taos, const char* sql, bool validateOnly,
return pRequest;
}
static void fetchCallback(void *pResult, void *param, int32_t code) {
SRequestObj *pRequest = (SRequestObj *)param;
SReqResultInfo *pResultInfo = &pRequest->body.resInfo;
tscDebug("0x%" PRIx64 " enter scheduler fetch cb, code:%d - %s, reqId:0x%" PRIx64, pRequest->self, code,
tstrerror(code), pRequest->requestId);
pResultInfo->pData = pResult;
pResultInfo->numOfRows = 0;
if (code != TSDB_CODE_SUCCESS) {
pRequest->code = code;
taosMemoryFreeClear(pResultInfo->pData);
pRequest->body.fetchFp(pRequest->body.param, pRequest, 0);
return;
}
if (pRequest->code != TSDB_CODE_SUCCESS) {
taosMemoryFreeClear(pResultInfo->pData);
pRequest->body.fetchFp(pRequest->body.param, pRequest, 0);
return;
}
pRequest->code =
setQueryResultFromRsp(pResultInfo, (const SRetrieveTableRsp *)pResultInfo->pData, pResultInfo->convertUcs4, true);
if (pRequest->code != TSDB_CODE_SUCCESS) {
pResultInfo->numOfRows = 0;
pRequest->code = code;
tscError("0x%" PRIx64 " fetch results failed, code:%s, reqId:0x%" PRIx64, pRequest->self, tstrerror(code),
pRequest->requestId);
} else {
tscDebug("0x%" PRIx64 " fetch results, numOfRows:%" PRId64 " total Rows:%" PRId64 ", complete:%d, reqId:0x%" PRIx64,
pRequest->self, pResultInfo->numOfRows, pResultInfo->totalRows, pResultInfo->completed,
pRequest->requestId);
STscObj *pTscObj = pRequest->pTscObj;
SAppClusterSummary *pActivity = &pTscObj->pAppInfo->summary;
atomic_add_fetch_64((int64_t *)&pActivity->fetchBytes, pRequest->body.resInfo.payloadLen);
}
pRequest->body.fetchFp(pRequest->body.param, pRequest, pResultInfo->numOfRows);
}
void taosAsyncFetchImpl(SRequestObj *pRequest, __taos_async_fn_t fp, void *param) {
pRequest->body.fetchFp = fp;
pRequest->body.param = param;
SReqResultInfo *pResultInfo = &pRequest->body.resInfo;
// this query has no results or error exists, return directly
if (taos_num_fields(pRequest) == 0 || pRequest->code != TSDB_CODE_SUCCESS) {
pResultInfo->numOfRows = 0;
pRequest->body.fetchFp(param, pRequest, pResultInfo->numOfRows);
return;
}
// all data has returned to App already, no need to try again
if (pResultInfo->completed) {
// it is a local executed query, no need to do async fetch
if (QUERY_EXEC_MODE_SCHEDULE != pRequest->body.execMode) {
if (pResultInfo->localResultFetched) {
pResultInfo->numOfRows = 0;
pResultInfo->current = 0;
} else {
pResultInfo->localResultFetched = true;
}
} else {
pResultInfo->numOfRows = 0;
}
pRequest->body.fetchFp(param, pRequest, pResultInfo->numOfRows);
return;
}
SSchedulerReq req = {
.syncReq = false,
.fetchFp = fetchCallback,
.cbParam = pRequest,
};
schedulerFetchRows(pRequest->body.queryJob, &req);
}

View File

@ -563,22 +563,13 @@ int taos_select_db(TAOS *taos, const char *db) {
return code;
}
void taos_stop_query(TAOS_RES *res) {
if (res == NULL || TD_RES_TMQ(res) || TD_RES_TMQ_META(res) || TD_RES_TMQ_METADATA(res)) {
return;
}
SRequestObj *pRequest = (SRequestObj *)res;
pRequest->killed = true;
// It is not a query, no need to stop.
if (NULL == pRequest->pQuery || QUERY_EXEC_MODE_SCHEDULE != pRequest->pQuery->execMode) {
tscDebug("request 0x%" PRIx64 " no need to be killed since not query", pRequest->requestId);
return;
}
schedulerFreeJob(&pRequest->body.queryJob, TSDB_CODE_TSC_QUERY_KILLED);
tscDebug("request %" PRIx64 " killed", pRequest->requestId);
stopAllQueries((SRequestObj*)res);
}
bool taos_is_null(TAOS_RES *res, int32_t row, int32_t col) {
@ -774,8 +765,13 @@ static void destoryCatalogReq(SCatalogReq *pCatalogReq) {
taosArrayDestroy(pCatalogReq->pDbVgroup);
taosArrayDestroy(pCatalogReq->pDbCfg);
taosArrayDestroy(pCatalogReq->pDbInfo);
if (pCatalogReq->cloned) {
taosArrayDestroy(pCatalogReq->pTableMeta);
taosArrayDestroy(pCatalogReq->pTableHash);
} else {
taosArrayDestroyEx(pCatalogReq->pTableMeta, destoryTablesReq);
taosArrayDestroyEx(pCatalogReq->pTableHash, destoryTablesReq);
}
taosArrayDestroy(pCatalogReq->pUdf);
taosArrayDestroy(pCatalogReq->pIndex);
taosArrayDestroy(pCatalogReq->pUser);
@ -794,26 +790,108 @@ void destorySqlCallbackWrapper(SSqlCallbackWrapper *pWrapper) {
taosMemoryFree(pWrapper);
}
void destroyCtxInRequest(SRequestObj* pRequest) {
schedulerFreeJob(&pRequest->body.queryJob, 0);
qDestroyQuery(pRequest->pQuery);
pRequest->pQuery = NULL;
destorySqlCallbackWrapper(pRequest->pWrapper);
pRequest->pWrapper = NULL;
}
static void doAsyncQueryFromAnalyse(SMetaData *pResultMeta, void *param, int32_t code) {
SSqlCallbackWrapper *pWrapper = (SSqlCallbackWrapper *)param;
SRequestObj *pRequest = pWrapper->pRequest;
SQuery *pQuery = pRequest->pQuery;
int64_t analyseStart = taosGetTimestampUs();
pRequest->metric.ctgCostUs = analyseStart - pRequest->metric.ctgStart;
qDebug("0x%" PRIx64 " start to semantic analysis, reqId:0x%" PRIx64, pRequest->self, pRequest->requestId);
if (code == TSDB_CODE_SUCCESS) {
int64_t analyseStart = taosGetTimestampUs();
pRequest->metric.ctgCostUs = analyseStart - pRequest->metric.ctgStart;
if (TSDB_CODE_SUCCESS == code) {
code = qAnalyseSqlSemantic(pWrapper->pParseCtx, pWrapper->pCatalogReq, pResultMeta, pQuery);
}
pRequest->metric.analyseCostUs += taosGetTimestampUs() - analyseStart;
handleQueryAnslyseRes(pWrapper, pResultMeta, code);
}
int32_t cloneCatalogReq(SCatalogReq* * ppTarget, SCatalogReq* pSrc) {
int32_t code = TSDB_CODE_SUCCESS;
SCatalogReq* pTarget = taosMemoryCalloc(1, sizeof(SCatalogReq));
if (pTarget == NULL) {
code = TSDB_CODE_OUT_OF_MEMORY;
} else {
pTarget->pDbVgroup = taosArrayDup(pSrc->pDbVgroup, NULL);
pTarget->pDbCfg = taosArrayDup(pSrc->pDbCfg, NULL);
pTarget->pDbInfo = taosArrayDup(pSrc->pDbInfo, NULL);
pTarget->pTableMeta = taosArrayDup(pSrc->pTableMeta, NULL);
pTarget->pTableHash = taosArrayDup(pSrc->pTableHash, NULL);
pTarget->pUdf = taosArrayDup(pSrc->pUdf, NULL);
pTarget->pIndex = taosArrayDup(pSrc->pIndex, NULL);
pTarget->pUser = taosArrayDup(pSrc->pUser, NULL);
pTarget->pTableIndex = taosArrayDup(pSrc->pTableIndex, NULL);
pTarget->pTableCfg = taosArrayDup(pSrc->pTableCfg, NULL);
pTarget->pTableTag = taosArrayDup(pSrc->pTableTag, NULL);
pTarget->qNodeRequired = pSrc->qNodeRequired;
pTarget->dNodeRequired = pSrc->dNodeRequired;
pTarget->svrVerRequired = pSrc->svrVerRequired;
pTarget->forceUpdate = pSrc->forceUpdate;
pTarget->cloned = true;
*ppTarget = pTarget;
}
return code;
}
void handleSubQueryFromAnalyse(SSqlCallbackWrapper *pWrapper, SMetaData *pResultMeta, SNode* pRoot) {
SRequestObj* pNewRequest = NULL;
SSqlCallbackWrapper* pNewWrapper = NULL;
int32_t code = buildPreviousRequest(pWrapper->pRequest, pWrapper->pRequest->sqlstr, &pNewRequest);
if (code) {
handleQueryAnslyseRes(pWrapper, pResultMeta, code);
return;
}
pNewRequest->pQuery = (SQuery*)nodesMakeNode(QUERY_NODE_QUERY);
if (NULL == pNewRequest->pQuery) {
code = TSDB_CODE_OUT_OF_MEMORY;
} else {
pNewRequest->pQuery->pRoot = pRoot;
pRoot = NULL;
pNewRequest->pQuery->execStage = QUERY_EXEC_STAGE_ANALYSE;
}
if (TSDB_CODE_SUCCESS == code) {
code = prepareAndParseSqlSyntax(&pNewWrapper, pNewRequest, false);
}
if (TSDB_CODE_SUCCESS == code) {
code = cloneCatalogReq(&pNewWrapper->pCatalogReq, pWrapper->pCatalogReq);
}
doAsyncQueryFromAnalyse(pResultMeta, pNewWrapper, code);
nodesDestroyNode(pRoot);
}
void handleQueryAnslyseRes(SSqlCallbackWrapper *pWrapper, SMetaData *pResultMeta, int32_t code) {
SRequestObj *pRequest = pWrapper->pRequest;
SQuery *pQuery = pRequest->pQuery;
if (code == TSDB_CODE_SUCCESS && pQuery->pPrevRoot) {
SNode* prevRoot = pQuery->pPrevRoot;
pQuery->pPrevRoot = NULL;
handleSubQueryFromAnalyse(pWrapper, pResultMeta, prevRoot);
return;
}
if (code == TSDB_CODE_SUCCESS) {
pRequest->stableQuery = pQuery->stableQuery;
if (pQuery->pRoot) {
pRequest->stmtType = pQuery->pRoot->type;
}
}
pRequest->metric.analyseCostUs = taosGetTimestampUs() - analyseStart;
if (code == TSDB_CODE_SUCCESS) {
if (pQuery->haveResultSet) {
setResSchemaInfo(&pRequest->body.resInfo, pQuery->pResSchema, pQuery->numOfResCols);
setResPrecision(&pRequest->body.resInfo, pQuery->precision);
@ -826,14 +904,14 @@ static void doAsyncQueryFromAnalyse(SMetaData *pResultMeta, void *param, int32_t
launchAsyncQuery(pRequest, pQuery, pResultMeta, pWrapper);
} else {
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
qDestroyQuery(pRequest->pQuery);
pRequest->pQuery = NULL;
if (NEED_CLIENT_HANDLE_ERROR(code)) {
tscDebug("0x%" PRIx64 " client retry to handle the error, code:%d - %s, tryCount:%d, reqId:0x%" PRIx64,
pRequest->self, code, tstrerror(code), pRequest->retry, pRequest->requestId);
pRequest->prevCode = code;
doAsyncQuery(pRequest, true);
restartAsyncQuery(pRequest, code);
return;
}
@ -841,7 +919,7 @@ static void doAsyncQueryFromAnalyse(SMetaData *pResultMeta, void *param, int32_t
tscError("0x%" PRIx64 " error occurs, code:%s, return to user app, reqId:0x%" PRIx64, pRequest->self,
tstrerror(code), pRequest->requestId);
pRequest->code = code;
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
returnToUser(pRequest);
}
}
@ -904,6 +982,7 @@ static void doAsyncQueryFromParse(SMetaData *pResultMeta, void *param, int32_t c
tscError("0x%" PRIx64 " error happens, code:%d - %s, reqId:0x%" PRIx64, pWrapper->pRequest->self, code,
tstrerror(code), pWrapper->pRequest->requestId);
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
terrno = code;
pRequest->code = code;
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
@ -920,6 +999,7 @@ void continueInsertFromCsv(SSqlCallbackWrapper *pWrapper, SRequestObj *pRequest)
tscError("0x%" PRIx64 " error happens, code:%d - %s, reqId:0x%" PRIx64, pWrapper->pRequest->self, code,
tstrerror(code), pWrapper->pRequest->requestId);
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
terrno = code;
pRequest->code = code;
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
@ -967,27 +1047,16 @@ int32_t createParseContext(const SRequestObj *pRequest, SParseContext **pCxt) {
return TSDB_CODE_SUCCESS;
}
void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
STscObj *pTscObj = pRequest->pTscObj;
SSqlCallbackWrapper *pWrapper = NULL;
int32_t prepareAndParseSqlSyntax(SSqlCallbackWrapper **ppWrapper, SRequestObj *pRequest, bool updateMetaForce) {
int32_t code = TSDB_CODE_SUCCESS;
if (pRequest->retry++ > REQUEST_TOTAL_EXEC_TIMES) {
code = pRequest->prevCode;
terrno = code;
pRequest->code = code;
tscDebug("call sync query cb with code: %s", tstrerror(code));
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
return;
}
if (TSDB_CODE_SUCCESS == code) {
pWrapper = taosMemoryCalloc(1, sizeof(SSqlCallbackWrapper));
STscObj *pTscObj = pRequest->pTscObj;
SSqlCallbackWrapper *pWrapper = taosMemoryCalloc(1, sizeof(SSqlCallbackWrapper));
if (pWrapper == NULL) {
code = TSDB_CODE_OUT_OF_MEMORY;
} else {
pWrapper->pRequest = pRequest;
}
pRequest->pWrapper = pWrapper;
*ppWrapper = pWrapper;
}
if (TSDB_CODE_SUCCESS == code) {
@ -999,7 +1068,7 @@ void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
code = catalogGetHandle(pTscObj->pAppInfo->clusterId, &pWrapper->pParseCtx->pCatalog);
}
if (TSDB_CODE_SUCCESS == code) {
if (TSDB_CODE_SUCCESS == code && NULL == pRequest->pQuery) {
int64_t syntaxStart = taosGetTimestampUs();
pWrapper->pCatalogReq = taosMemoryCalloc(1, sizeof(SCatalogReq));
@ -1014,6 +1083,27 @@ void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
pRequest->metric.parseCostUs += taosGetTimestampUs() - syntaxStart;
}
return code;
}
void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
SSqlCallbackWrapper *pWrapper = NULL;
int32_t code = TSDB_CODE_SUCCESS;
if (pRequest->retry++ > REQUEST_TOTAL_EXEC_TIMES) {
code = pRequest->prevCode;
terrno = code;
pRequest->code = code;
tscDebug("call sync query cb with code: %s", tstrerror(code));
pRequest->body.queryFp(pRequest->body.param, pRequest, code);
return;
}
if (TSDB_CODE_SUCCESS == code) {
code = prepareAndParseSqlSyntax(&pWrapper, pRequest, updateMetaForce);
}
if (TSDB_CODE_SUCCESS == code) {
pRequest->stmtType = pRequest->pQuery->pRoot->type;
code = phaseAsyncQuery(pWrapper);
@ -1023,6 +1113,7 @@ void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
tscError("0x%" PRIx64 " error happens, code:%d - %s, reqId:0x%" PRIx64, pRequest->self, code, tstrerror(code),
pRequest->requestId);
destorySqlCallbackWrapper(pWrapper);
pRequest->pWrapper = NULL;
qDestroyQuery(pRequest->pQuery);
pRequest->pQuery = NULL;
@ -1040,48 +1131,57 @@ void doAsyncQuery(SRequestObj *pRequest, bool updateMetaForce) {
}
}
static void fetchCallback(void *pResult, void *param, int32_t code) {
SRequestObj *pRequest = (SRequestObj *)param;
SReqResultInfo *pResultInfo = &pRequest->body.resInfo;
tscDebug("0x%" PRIx64 " enter scheduler fetch cb, code:%d - %s, reqId:0x%" PRIx64, pRequest->self, code,
tstrerror(code), pRequest->requestId);
pResultInfo->pData = pResult;
pResultInfo->numOfRows = 0;
if (code != TSDB_CODE_SUCCESS) {
pRequest->code = code;
taosMemoryFreeClear(pResultInfo->pData);
pRequest->body.fetchFp(pRequest->body.param, pRequest, 0);
return;
}
if (pRequest->code != TSDB_CODE_SUCCESS) {
taosMemoryFreeClear(pResultInfo->pData);
pRequest->body.fetchFp(pRequest->body.param, pRequest, 0);
return;
}
pRequest->code =
setQueryResultFromRsp(pResultInfo, (const SRetrieveTableRsp *)pResultInfo->pData, pResultInfo->convertUcs4, true);
if (pRequest->code != TSDB_CODE_SUCCESS) {
pResultInfo->numOfRows = 0;
pRequest->code = code;
tscError("0x%" PRIx64 " fetch results failed, code:%s, reqId:0x%" PRIx64, pRequest->self, tstrerror(code),
pRequest->requestId);
void restartAsyncQuery(SRequestObj *pRequest, int32_t code) {
int32_t reqIdx = 0;
SRequestObj *pReqList[16] = {NULL};
SRequestObj *pUserReq = NULL;
pReqList[0] = pRequest;
uint64_t tmpRefId = 0;
SRequestObj* pTmp = pRequest;
while (pTmp->relation.prevRefId) {
tmpRefId = pTmp->relation.prevRefId;
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
pReqList[++reqIdx] = pTmp;
releaseRequest(tmpRefId);
} else {
tscDebug("0x%" PRIx64 " fetch results, numOfRows:%" PRId64 " total Rows:%" PRId64 ", complete:%d, reqId:0x%" PRIx64,
pRequest->self, pResultInfo->numOfRows, pResultInfo->totalRows, pResultInfo->completed,
pRequest->requestId);
STscObj *pTscObj = pRequest->pTscObj;
SAppClusterSummary *pActivity = &pTscObj->pAppInfo->summary;
atomic_add_fetch_64((int64_t *)&pActivity->fetchBytes, pRequest->body.resInfo.payloadLen);
tscError("0x%" PRIx64 ", prev req ref 0x%" PRIx64 " is not there, reqId:0x%" PRIx64, pTmp->self,
tmpRefId, pTmp->requestId);
break;
}
}
pRequest->body.fetchFp(pRequest->body.param, pRequest, pResultInfo->numOfRows);
tmpRefId = pRequest->relation.nextRefId;
while (tmpRefId) {
pTmp = acquireRequest(tmpRefId);
if (pTmp) {
tmpRefId = pTmp->relation.nextRefId;
removeRequest(pTmp->self);
releaseRequest(pTmp->self);
} else {
tscError("0x%" PRIx64 " is not there", tmpRefId);
break;
}
}
for (int32_t i = reqIdx; i >= 0; i--) {
destroyCtxInRequest(pReqList[i]);
if (pReqList[i]->relation.userRefId == pReqList[i]->self || 0 == pReqList[i]->relation.userRefId) {
pUserReq = pReqList[i];
} else {
removeRequest(pReqList[i]->self);
}
}
if (pUserReq) {
pUserReq->prevCode = code;
memset(&pUserReq->relation, 0, sizeof(pUserReq->relation));
} else {
tscError("user req is missing");
return;
}
doAsyncQuery(pUserReq, true);
}
void taos_fetch_rows_a(TAOS_RES *res, __taos_async_fn_t fp, void *param) {
@ -1095,43 +1195,8 @@ void taos_fetch_rows_a(TAOS_RES *res, __taos_async_fn_t fp, void *param) {
}
SRequestObj *pRequest = res;
pRequest->body.fetchFp = fp;
pRequest->body.param = param;
SReqResultInfo *pResultInfo = &pRequest->body.resInfo;
// this query has no results or error exists, return directly
if (taos_num_fields(pRequest) == 0 || pRequest->code != TSDB_CODE_SUCCESS) {
pResultInfo->numOfRows = 0;
pRequest->body.fetchFp(param, pRequest, pResultInfo->numOfRows);
return;
}
// all data has returned to App already, no need to try again
if (pResultInfo->completed) {
// it is a local executed query, no need to do async fetch
if (QUERY_EXEC_MODE_SCHEDULE != pRequest->body.execMode) {
if (pResultInfo->localResultFetched) {
pResultInfo->numOfRows = 0;
pResultInfo->current = 0;
} else {
pResultInfo->localResultFetched = true;
}
} else {
pResultInfo->numOfRows = 0;
}
pRequest->body.fetchFp(param, pRequest, pResultInfo->numOfRows);
return;
}
SSchedulerReq req = {
.syncReq = false,
.fetchFp = fetchCallback,
.cbParam = pRequest,
};
schedulerFetchRows(pRequest->body.queryJob, &req);
taosAsyncFetchImpl(pRequest, fp, param);
}
void taos_fetch_raw_block_a(TAOS_RES *res, __taos_async_fn_t fp, void *param) {

View File

@ -1756,9 +1756,8 @@ TAOS_RES *taos_schemaless_insert_inner(TAOS *taos, char *lines[], char *rawLine,
request->code = code;
info->cost.endTime = taosGetTimestampUs();
info->cost.code = code;
if (code == TSDB_CODE_TDB_INVALID_TABLE_SCHEMA_VER || code == TSDB_CODE_SDB_OBJ_CREATING ||
code == TSDB_CODE_PAR_VALUE_TOO_LONG || code == TSDB_CODE_MND_TRANS_CONFLICT ||
code == TSDB_CODE_PAR_TABLE_NOT_EXIST) {
if (NEED_CLIENT_HANDLE_ERROR(code) || code == TSDB_CODE_SDB_OBJ_CREATING ||
code == TSDB_CODE_PAR_VALUE_TOO_LONG || code == TSDB_CODE_MND_TRANS_CONFLICT) {
if (cnt++ >= 10) {
uInfo("SML:%" PRIx64 " retry:%d/10 end code:%d, msg:%s", info->id, cnt, code, tstrerror(code));
break;

View File

@ -384,6 +384,7 @@ static const SSysDbTableSchema querySchema[] = {
{.name = "create_time", .bytes = 8, .type = TSDB_DATA_TYPE_TIMESTAMP, .sysInfo = false},
{.name = "exec_usec", .bytes = 8, .type = TSDB_DATA_TYPE_BIGINT, .sysInfo = false},
{.name = "stable_query", .bytes = 1, .type = TSDB_DATA_TYPE_BOOL, .sysInfo = false},
{.name = "sub_query", .bytes = 1, .type = TSDB_DATA_TYPE_BOOL, .sysInfo = false},
{.name = "sub_num", .bytes = 4, .type = TSDB_DATA_TYPE_INT, .sysInfo = false},
{.name = "sub_status", .bytes = TSDB_SHOW_SUBQUERY_LEN + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR, .sysInfo = false},
{.name = "sql", .bytes = TSDB_SHOW_SQL_LEN + VARSTR_HEADER_SIZE, .type = TSDB_DATA_TYPE_VARCHAR, .sysInfo = false},

View File

@ -23,6 +23,20 @@
int32_t colDataGetLength(const SColumnInfoData* pColumnInfoData, int32_t numOfRows) {
if (IS_VAR_DATA_TYPE(pColumnInfoData->info.type)) {
if (pColumnInfoData->reassigned) {
int32_t totalSize = 0;
for (int32_t row = 0; row < numOfRows; ++row) {
char* pColData = pColumnInfoData->pData + pColumnInfoData->varmeta.offset[row];
int32_t colSize = 0;
if (pColumnInfoData->info.type == TSDB_DATA_TYPE_JSON) {
colSize = getJsonValueLen(pColData);
} else {
colSize = varDataTLen(pColData);
}
totalSize += colSize;
}
return totalSize;
}
return pColumnInfoData->varmeta.length;
} else {
if (pColumnInfoData->info.type == TSDB_DATA_TYPE_NULL) {
@ -126,6 +140,29 @@ int32_t colDataSetVal(SColumnInfoData* pColumnInfoData, uint32_t rowIndex, const
return 0;
}
int32_t colDataReassignVal(SColumnInfoData* pColumnInfoData, uint32_t dstRowIdx, uint32_t srcRowIdx, const char* pData) {
int32_t type = pColumnInfoData->info.type;
if (IS_VAR_DATA_TYPE(type)) {
int32_t dataLen = 0;
if (type == TSDB_DATA_TYPE_JSON) {
dataLen = getJsonValueLen(pData);
} else {
dataLen = varDataTLen(pData);
}
SVarColAttr* pAttr = &pColumnInfoData->varmeta;
pColumnInfoData->varmeta.offset[dstRowIdx] = pColumnInfoData->varmeta.offset[srcRowIdx];
pColumnInfoData->reassigned = true;
} else {
memcpy(pColumnInfoData->pData + pColumnInfoData->info.bytes * dstRowIdx, pData, pColumnInfoData->info.bytes);
colDataClearNull_f(pColumnInfoData->nullbitmap, dstRowIdx);
}
return 0;
}
int32_t colDataReserve(SColumnInfoData* pColumnInfoData, size_t newSize) {
if (!IS_VAR_DATA_TYPE(pColumnInfoData->info.type)) {
return TSDB_CODE_SUCCESS;
@ -580,9 +617,23 @@ int32_t blockDataToBuf(char* buf, const SSDataBlock* pBlock) {
*(int32_t*)pStart = dataSize;
pStart += sizeof(int32_t);
if (pCol->reassigned && IS_VAR_DATA_TYPE(pCol->info.type)) {
for (int32_t row = 0; row < numOfRows; ++row) {
char* pColData = pCol->pData + pCol->varmeta.offset[row];
int32_t colSize = 0;
if (pCol->info.type == TSDB_DATA_TYPE_JSON) {
colSize = getJsonValueLen(pColData);
} else {
colSize = varDataTLen(pColData);
}
memcpy(pStart, pColData, colSize);
pStart += colSize;
}
} else {
memcpy(pStart, pCol->pData, dataSize);
pStart += dataSize;
}
}
return 0;
}
@ -1741,8 +1792,21 @@ int32_t tEncodeDataBlock(void** buf, const SSDataBlock* pBlock) {
int32_t len = colDataGetLength(pColData, rows);
tlen += taosEncodeFixedI32(buf, len);
if (pColData->reassigned && IS_VAR_DATA_TYPE(pColData->info.type)) {
for (int32_t row = 0; row < rows; ++row) {
char* pData = pColData->pData + pColData->varmeta.offset[row];
int32_t colSize = 0;
if (pColData->info.type == TSDB_DATA_TYPE_JSON) {
colSize = getJsonValueLen(pData);
} else {
colSize = varDataTLen(pData);
}
tlen += taosEncodeBinary(buf, pData, colSize);
}
} else {
tlen += taosEncodeBinary(buf, pColData->pData, len);
}
}
return tlen;
}
@ -2401,19 +2465,31 @@ _end:
}
char* buildCtbNameByGroupId(const char* stbFullName, uint64_t groupId) {
if (stbFullName[0] == 0) {
char* pBuf = taosMemoryCalloc(1, TSDB_TABLE_NAME_LEN + 1);
if (!pBuf) {
return NULL;
}
int32_t code = buildCtbNameByGroupIdImpl(stbFullName, groupId, pBuf);
if (code != TSDB_CODE_SUCCESS) {
taosMemoryFree(pBuf);
return NULL;
}
return pBuf;
}
int32_t buildCtbNameByGroupIdImpl(const char* stbFullName, uint64_t groupId, char* cname) {
if (stbFullName[0] == 0) {
return TSDB_CODE_FAILED;
}
SArray* tags = taosArrayInit(0, sizeof(SSmlKv));
if (tags == NULL) {
return NULL;
return TSDB_CODE_FAILED;
}
void* cname = taosMemoryCalloc(1, TSDB_TABLE_NAME_LEN + 1);
if (cname == NULL) {
taosArrayDestroy(tags);
return NULL;
return TSDB_CODE_FAILED;
}
SSmlKv pTag = {.key = "group_id",
@ -2435,9 +2511,9 @@ char* buildCtbNameByGroupId(const char* stbFullName, uint64_t groupId) {
taosArrayDestroy(tags);
if ((rname.ctbShortName && rname.ctbShortName[0]) == 0) {
return NULL;
return TSDB_CODE_FAILED;
}
return rname.ctbShortName;
return TSDB_CODE_SUCCESS;
}
int32_t blockEncode(const SSDataBlock* pBlock, char* data, int32_t numOfCols) {
@ -2502,12 +2578,29 @@ int32_t blockEncode(const SSDataBlock* pBlock, char* data, int32_t numOfCols) {
data += metaSize;
dataLen += metaSize;
if (pColRes->reassigned && IS_VAR_DATA_TYPE(pColRes->info.type)) {
colSizes[col] = 0;
for (int32_t row = 0; row < numOfRows; ++row) {
char* pColData = pColRes->pData + pColRes->varmeta.offset[row];
int32_t colSize = 0;
if (pColRes->info.type == TSDB_DATA_TYPE_JSON) {
colSize = getJsonValueLen(pColData);
} else {
colSize = varDataTLen(pColData);
}
colSizes[col] += colSize;
dataLen += colSize;
memmove(data, pColData, colSize);
data += colSize;
}
} else {
colSizes[col] = colDataGetLength(pColRes, numOfRows);
dataLen += colSizes[col];
if (pColRes->pData != NULL) {
memmove(data, pColRes->pData, colSizes[col]);
}
data += colSizes[col];
}
colSizes[col] = htonl(colSizes[col]);
// uError("blockEncode col bytes:%d, type:%d, size:%d, htonl size:%d", pColRes->info.bytes, pColRes->info.type, htonl(colSizes[col]), colSizes[col]);

View File

@ -73,6 +73,7 @@ int64_t tsVndCommitMaxIntervalMs = 600 * 1000;
// mnode
int64_t tsMndSdbWriteDelta = 200;
int64_t tsMndLogRetention = 2000;
bool tsMndSkipGrant = false;
// monitor
bool tsEnableMonitor = true;
@ -491,6 +492,7 @@ static int32_t taosAddServerCfg(SConfig *pCfg) {
if (cfgAddInt64(pCfg, "mndSdbWriteDelta", tsMndSdbWriteDelta, 20, 10000, 0) != 0) return -1;
if (cfgAddInt64(pCfg, "mndLogRetention", tsMndLogRetention, 500, 10000, 0) != 0) return -1;
if (cfgAddBool(pCfg, "skipGrant", tsMndSkipGrant, 0) != 0) return -1;
if (cfgAddBool(pCfg, "monitor", tsEnableMonitor, 0) != 0) return -1;
if (cfgAddInt32(pCfg, "monitorInterval", tsMonitorInterval, 1, 200000, 0) != 0) return -1;
@ -890,6 +892,7 @@ static int32_t taosSetServerCfg(SConfig *pCfg) {
tsMndSdbWriteDelta = cfgGetItem(pCfg, "mndSdbWriteDelta")->i64;
tsMndLogRetention = cfgGetItem(pCfg, "mndLogRetention")->i64;
tsMndSkipGrant = cfgGetItem(pCfg, "skipGrant")->bval;
tsStartUdfd = cfgGetItem(pCfg, "udf")->bval;
tstrncpy(tsUdfdResFuncs, cfgGetItem(pCfg, "udfdResFuncs")->str, sizeof(tsUdfdResFuncs));

View File

@ -224,6 +224,7 @@ static int32_t tSerializeSClientHbReq(SEncoder *pEncoder, const SClientHbReq *pR
if (tEncodeI64(pEncoder, desc->stime) < 0) return -1;
if (tEncodeI64(pEncoder, desc->reqRid) < 0) return -1;
if (tEncodeI8(pEncoder, desc->stableQuery) < 0) return -1;
if (tEncodeI8(pEncoder, desc->isSubQuery) < 0) return -1;
if (tEncodeCStr(pEncoder, desc->fqdn) < 0) return -1;
if (tEncodeI32(pEncoder, desc->subPlanNum) < 0) return -1;
@ -291,6 +292,7 @@ static int32_t tDeserializeSClientHbReq(SDecoder *pDecoder, SClientHbReq *pReq)
if (tDecodeI64(pDecoder, &desc.stime) < 0) return -1;
if (tDecodeI64(pDecoder, &desc.reqRid) < 0) return -1;
if (tDecodeI8(pDecoder, (int8_t *)&desc.stableQuery) < 0) return -1;
if (tDecodeI8(pDecoder, (int8_t *)&desc.isSubQuery) < 0) return -1;
if (tDecodeCStrTo(pDecoder, desc.fqdn) < 0) return -1;
if (tDecodeI32(pDecoder, &desc.subPlanNum) < 0) return -1;
@ -6167,6 +6169,7 @@ int32_t tSerializeSCMCreateStreamReq(void *buf, int32_t bufLen, const SCMCreateS
}
if (tEncodeI64(&encoder, pReq->deleteMark) < 0) return -1;
if (tEncodeI8(&encoder, pReq->igUpdate) < 0) return -1;
if (tEncodeI64(&encoder, pReq->lastTs) < 0) return -1;
tEndEncode(&encoder);
@ -6252,6 +6255,7 @@ int32_t tDeserializeSCMCreateStreamReq(void *buf, int32_t bufLen, SCMCreateStrea
if (tDecodeI64(&decoder, &pReq->deleteMark) < 0) return -1;
if (tDecodeI8(&decoder, &pReq->igUpdate) < 0) return -1;
if (tDecodeI64(&decoder, &pReq->lastTs) < 0) return -1;
tEndDecode(&decoder);
@ -6318,6 +6322,9 @@ int32_t tDeserializeSMRecoverStreamReq(void *buf, int32_t bufLen, SMRecoverStrea
}
void tFreeSCMCreateStreamReq(SCMCreateStreamReq *pReq) {
if (NULL == pReq) {
return;
}
taosArrayDestroy(pReq->pTags);
taosMemoryFreeClear(pReq->sql);
taosMemoryFreeClear(pReq->ast);

View File

@ -17,7 +17,7 @@
#include "ttypes.h"
#include "tcompression.h"
const int32_t TYPE_BYTES[17] = {
const int32_t TYPE_BYTES[21] = {
-1, // TSDB_DATA_TYPE_NULL
CHAR_BYTES, // TSDB_DATA_TYPE_BOOL
CHAR_BYTES, // TSDB_DATA_TYPE_TINYINT
@ -34,6 +34,10 @@ const int32_t TYPE_BYTES[17] = {
INT_BYTES, // TSDB_DATA_TYPE_UINT
sizeof(uint64_t), // TSDB_DATA_TYPE_UBIGINT
TSDB_MAX_JSON_TAG_LEN, // TSDB_DATA_TYPE_JSON
TSDB_MAX_TAGS_LEN, // TSDB_DATA_TYPE_VARBINARY: placeholder, not implemented
TSDB_MAX_TAGS_LEN, // TSDB_DATA_TYPE_DECIMAL: placeholder, not implemented
TSDB_MAX_TAGS_LEN, // TSDB_DATA_TYPE_BLOB: placeholder, not implemented
TSDB_MAX_TAGS_LEN, // TSDB_DATA_TYPE_MEDIUMBLOB: placeholder, not implemented
sizeof(VarDataOffsetT), // TSDB_DATA_TYPE_GEOMETRY
};
@ -57,6 +61,10 @@ tDataTypeDescriptor tDataTypes[TSDB_DATA_TYPE_MAX] = {
{TSDB_DATA_TYPE_UINT, 12, INT_BYTES, "INT UNSIGNED", 0, UINT32_MAX, tsCompressInt, tsDecompressInt},
{TSDB_DATA_TYPE_UBIGINT, 15, LONG_BYTES, "BIGINT UNSIGNED", 0, UINT64_MAX, tsCompressBigint, tsDecompressBigint},
{TSDB_DATA_TYPE_JSON, 4, TSDB_MAX_JSON_TAG_LEN, "JSON", 0, 0, tsCompressString, tsDecompressString},
{TSDB_DATA_TYPE_VARBINARY, 9, 1, "VARBINARY", 0, 0, NULL, NULL}, // placeholder, not implemented
{TSDB_DATA_TYPE_DECIMAL, 7, 1, "DECIMAL", 0, 0, NULL, NULL}, // placeholder, not implemented
{TSDB_DATA_TYPE_BLOB, 4, 1, "BLOB", 0, 0, NULL, NULL}, // placeholder, not implemented
{TSDB_DATA_TYPE_MEDIUMBLOB, 10, 1, "MEDIUMBLOB", 0, 0, NULL, NULL}, // placeholder, not implemented
{TSDB_DATA_TYPE_GEOMETRY, 8, 1, "GEOMETRY", 0, 0, tsCompressString, tsDecompressString},
};

View File

@ -108,7 +108,7 @@ typedef enum {
TRN_STAGE_UNDO_ACTION = 3,
TRN_STAGE_COMMIT = 4,
TRN_STAGE_COMMIT_ACTION = 5,
TRN_STAGE_FINISHED = 6,
TRN_STAGE_FINISH = 6,
TRN_STAGE_PRE_FINISH = 7
} ETrnStage;
@ -157,6 +157,7 @@ typedef struct {
void* rpcRsp;
int32_t rpcRspLen;
int32_t redoActionPos;
SArray* prepareActions;
SArray* redoActions;
SArray* undoActions;
SArray* commitActions;
@ -564,14 +565,14 @@ void* tDecodeSMqConsumerObj(const void* buf, SMqConsumerObj* pConsumer
typedef struct {
int32_t vgId;
char* qmsg; // SubPlanToString
// char* qmsg; // SubPlanToString
SEpSet epSet;
} SMqVgEp;
SMqVgEp* tCloneSMqVgEp(const SMqVgEp* pVgEp);
void tDeleteSMqVgEp(SMqVgEp* pVgEp);
int32_t tEncodeSMqVgEp(void** buf, const SMqVgEp* pVgEp);
void* tDecodeSMqVgEp(const void* buf, SMqVgEp* pVgEp);
void* tDecodeSMqVgEp(const void* buf, SMqVgEp* pVgEp, int8_t sver);
typedef struct {
int64_t consumerId; // -1 for unassigned
@ -596,6 +597,7 @@ typedef struct {
SArray* unassignedVgs; // SArray<SMqVgEp*>
SArray* offsetRows;
char dbName[TSDB_DB_FNAME_LEN];
char* qmsg; // SubPlanToString
} SMqSubscribeObj;
SMqSubscribeObj* tNewSubscribeObj(const char key[TSDB_SUBSCRIBE_KEY_LEN]);
@ -694,12 +696,12 @@ int32_t tEncodeSStreamObj(SEncoder* pEncoder, const SStreamObj* pObj);
int32_t tDecodeSStreamObj(SDecoder* pDecoder, SStreamObj* pObj, int32_t sver);
void tFreeStreamObj(SStreamObj* pObj);
typedef struct {
char streamName[TSDB_STREAM_FNAME_LEN];
int64_t uid;
int64_t streamUid;
SArray* childInfo; // SArray<SStreamChildEpInfo>
} SStreamCheckpointObj;
//typedef struct {
// char streamName[TSDB_STREAM_FNAME_LEN];
// int64_t uid;
// int64_t streamUid;
// SArray* childInfo; // SArray<SStreamChildEpInfo>
//} SStreamCheckpointObj;
#ifdef __cplusplus
}

View File

@ -70,6 +70,7 @@ int32_t mndTransAppendRedolog(STrans *pTrans, SSdbRaw *pRaw);
int32_t mndTransAppendUndolog(STrans *pTrans, SSdbRaw *pRaw);
int32_t mndTransAppendCommitlog(STrans *pTrans, SSdbRaw *pRaw);
int32_t mndTransAppendNullLog(STrans *pTrans);
int32_t mndTransAppendPrepareAction(STrans *pTrans, STransAction *pAction);
int32_t mndTransAppendRedoAction(STrans *pTrans, STransAction *pAction);
int32_t mndTransAppendUndoAction(STrans *pTrans, STransAction *pAction);
void mndTransSetRpcRsp(STrans *pTrans, void *pCont, int32_t contLen);
@ -78,15 +79,23 @@ void mndTransSetDbName(STrans *pTrans, const char *dbname, const char *stbnam
void mndTransSetSerial(STrans *pTrans);
void mndTransSetParallel(STrans *pTrans);
void mndTransSetOper(STrans *pTrans, EOperType oper);
int32_t mndTrancCheckConflict(SMnode *pMnode, STrans *pTrans);
int32_t mndTransCheckConflict(SMnode *pMnode, STrans *pTrans);
static int32_t mndTrancCheckConflict(SMnode *pMnode, STrans *pTrans) {
return mndTransCheckConflict(pMnode, pTrans);
}
int32_t mndTransPrepare(SMnode *pMnode, STrans *pTrans);
int32_t mndTransProcessRsp(SRpcMsg *pRsp);
void mndTransPullup(SMnode *pMnode);
int32_t mndKillTrans(SMnode *pMnode, STrans *pTrans);
void mndTransExecute(SMnode *pMnode, STrans *pTrans, bool isLeader);
void mndTransExecute(SMnode *pMnode, STrans *pTrans);
void mndTransRefresh(SMnode *pMnode, STrans *pTrans);
int32_t mndSetRpcInfoForDbTrans(SMnode *pMnode, SRpcMsg *pMsg, EOperType oper, const char *dbname);
SSdbRaw *mndTransEncode(STrans *pTrans);
SSdbRow *mndTransDecode(SSdbRaw *pRaw);
void mndTransDropData(STrans *pTrans);
bool mndTransPerformPrepareStage(SMnode *pMnode, STrans *pTrans);
#ifdef __cplusplus
}
#endif

View File

@ -40,6 +40,8 @@ int32_t mndValidateUserPassInfo(SMnode *pMnode, SUserPassVersion *pUsers, int3
int32_t mndUserRemoveDb(SMnode *pMnode, STrans *pTrans, char *db);
int32_t mndUserRemoveTopic(SMnode *pMnode, STrans *pTrans, char *topic);
int32_t mndUserDupObj(SUserObj *pUser, SUserObj *pNew);
void mndUserFreeObj(SUserObj *pUser);
#ifdef __cplusplus
}
#endif

View File

@ -27,6 +27,7 @@ void mndCleanupVgroup(SMnode *pMnode);
SVgObj *mndAcquireVgroup(SMnode *pMnode, int32_t vgId);
void mndReleaseVgroup(SMnode *pMnode, SVgObj *pVgroup);
SSdbRaw *mndVgroupActionEncode(SVgObj *pVgroup);
SSdbRow *mndVgroupActionDecode(SSdbRaw *pRaw);
SEpSet mndGetVgroupEpset(SMnode *pMnode, const SVgObj *pVgroup);
int32_t mndGetVnodesNum(SMnode *pMnode, int32_t dnodeId);
void mndSortVnodeGid(SVgObj *pVgroup);
@ -36,6 +37,7 @@ int64_t mndGetVgroupMemory(SMnode *pMnode, SDbObj *pDb, SVgObj *pVgroup);
SArray *mndBuildDnodesArray(SMnode *, int32_t exceptDnodeId);
int32_t mndAllocSmaVgroup(SMnode *, SDbObj *pDb, SVgObj *pVgroup);
int32_t mndAllocVgroup(SMnode *, SDbObj *pDb, SVgObj **ppVgroups);
int32_t mndAddPrepareNewVgAction(SMnode *, STrans *pTrans, SVgObj *pVg);
int32_t mndAddCreateVnodeAction(SMnode *, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroup, SVnodeGid *pVgid);
int32_t mndAddAlterVnodeConfirmAction(SMnode *, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroup);
int32_t mndAddAlterVnodeAction(SMnode *, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroup, tmsg_t msgType);

View File

@ -665,7 +665,7 @@ int32_t mndProcessSubscribeReq(SRpcMsg *pMsg) {
SCMSubscribeReq subscribe = {0};
tDeserializeSCMSubscribeReq(msgStr, &subscribe);
uint64_t consumerId = subscribe.consumerId;
int64_t consumerId = subscribe.consumerId;
char *cgroup = subscribe.cgroup;
SMqConsumerObj *pExistedConsumer = NULL;
SMqConsumerObj *pConsumerNew = NULL;

View File

@ -414,6 +414,13 @@ static void mndSetDefaultDbCfg(SDbCfg *pCfg) {
if (pCfg->tsdbPageSize <= 0) pCfg->tsdbPageSize = TSDB_DEFAULT_TSDB_PAGESIZE;
}
static int32_t mndSetPrepareNewVgActions(SMnode *pMnode, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroups) {
for (int32_t v = 0; v < pDb->cfg.numOfVgroups; ++v) {
if (mndAddPrepareNewVgAction(pMnode, pTrans, (pVgroups + v)) != 0) return -1;
}
return 0;
}
static int32_t mndSetCreateDbRedoLogs(SMnode *pMnode, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroups) {
SSdbRaw *pDbRaw = mndDbActionEncode(pDb);
if (pDbRaw == NULL) return -1;
@ -424,7 +431,7 @@ static int32_t mndSetCreateDbRedoLogs(SMnode *pMnode, STrans *pTrans, SDbObj *pD
SSdbRaw *pVgRaw = mndVgroupActionEncode(pVgroups + v);
if (pVgRaw == NULL) return -1;
if (mndTransAppendRedolog(pTrans, pVgRaw) != 0) return -1;
if (sdbSetRawStatus(pVgRaw, SDB_STATUS_CREATING) != 0) return -1;
if (sdbSetRawStatus(pVgRaw, SDB_STATUS_UPDATE) != 0) return -1;
}
return 0;
@ -446,7 +453,8 @@ static int32_t mndSetCreateDbUndoLogs(SMnode *pMnode, STrans *pTrans, SDbObj *pD
return 0;
}
static int32_t mndSetCreateDbCommitLogs(SMnode *pMnode, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroups) {
static int32_t mndSetCreateDbCommitLogs(SMnode *pMnode, STrans *pTrans, SDbObj *pDb, SVgObj *pVgroups,
SUserObj *pUserDuped) {
SSdbRaw *pDbRaw = mndDbActionEncode(pDb);
if (pDbRaw == NULL) return -1;
if (mndTransAppendCommitlog(pTrans, pDbRaw) != 0) return -1;
@ -459,6 +467,13 @@ static int32_t mndSetCreateDbCommitLogs(SMnode *pMnode, STrans *pTrans, SDbObj *
if (sdbSetRawStatus(pVgRaw, SDB_STATUS_READY) != 0) return -1;
}
if (pUserDuped) {
SSdbRaw *pUserRaw = mndUserActionEncode(pUserDuped);
if (pUserRaw == NULL) return -1;
if (mndTransAppendCommitlog(pTrans, pUserRaw) != 0) return -1;
if (sdbSetRawStatus(pUserRaw, SDB_STATUS_READY) != 0) return -1;
}
return 0;
}
@ -565,6 +580,15 @@ static int32_t mndCreateDb(SMnode *pMnode, SRpcMsg *pReq, SCreateDbReq *pCreate,
return -1;
}
// add database privileges for user
SUserObj newUserObj = {0}, *pNewUserDuped = NULL;
if (!pUser->superUser) {
if (mndUserDupObj(pUser, &newUserObj) != 0) goto _OVER;
taosHashPut(newUserObj.readDbs, dbObj.name, strlen(dbObj.name) + 1, dbObj.name, TSDB_FILENAME_LEN);
taosHashPut(newUserObj.writeDbs, dbObj.name, strlen(dbObj.name) + 1, dbObj.name, TSDB_FILENAME_LEN);
pNewUserDuped = &newUserObj;
}
int32_t code = -1;
STrans *pTrans = mndTransCreate(pMnode, TRN_POLICY_RETRY, TRN_CONFLICT_DB, pReq, "create-db");
if (pTrans == NULL) goto _OVER;
@ -572,12 +596,13 @@ static int32_t mndCreateDb(SMnode *pMnode, SRpcMsg *pReq, SCreateDbReq *pCreate,
mInfo("trans:%d, used to create db:%s", pTrans->id, pCreate->db);
mndTransSetDbName(pTrans, dbObj.name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
mndTransSetOper(pTrans, MND_OPER_CREATE_DB);
if (mndSetPrepareNewVgActions(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndSetCreateDbRedoLogs(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndSetCreateDbUndoLogs(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndSetCreateDbCommitLogs(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndSetCreateDbCommitLogs(pMnode, pTrans, &dbObj, pVgroups, pNewUserDuped) != 0) goto _OVER;
if (mndSetCreateDbRedoActions(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndSetCreateDbUndoActions(pMnode, pTrans, &dbObj, pVgroups) != 0) goto _OVER;
if (mndTransPrepare(pMnode, pTrans) != 0) goto _OVER;
@ -586,6 +611,7 @@ static int32_t mndCreateDb(SMnode *pMnode, SRpcMsg *pReq, SCreateDbReq *pCreate,
_OVER:
taosMemoryFree(pVgroups);
mndUserFreeObj(&newUserObj);
mndTransDrop(pTrans);
return code;
}
@ -814,7 +840,7 @@ static int32_t mndAlterDb(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pOld, SDbObj *p
int32_t code = -1;
mndTransSetDbName(pTrans, pOld->name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndSetAlterDbRedoLogs(pMnode, pTrans, pOld, pNew) != 0) goto _OVER;
if (mndSetAlterDbCommitLogs(pMnode, pTrans, pOld, pNew) != 0) goto _OVER;
@ -1111,7 +1137,7 @@ static int32_t mndDropDb(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb) {
mInfo("trans:%d start to drop db:%s", pTrans->id, pDb->name);
mndTransSetDbName(pTrans, pDb->name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
goto _OVER;
}

View File

@ -187,14 +187,14 @@ SMqVgEp *tCloneSMqVgEp(const SMqVgEp *pVgEp) {
SMqVgEp *pVgEpNew = taosMemoryMalloc(sizeof(SMqVgEp));
if (pVgEpNew == NULL) return NULL;
pVgEpNew->vgId = pVgEp->vgId;
pVgEpNew->qmsg = taosStrdup(pVgEp->qmsg);
// pVgEpNew->qmsg = taosStrdup(pVgEp->qmsg);
pVgEpNew->epSet = pVgEp->epSet;
return pVgEpNew;
}
void tDeleteSMqVgEp(SMqVgEp *pVgEp) {
if (pVgEp) {
taosMemoryFreeClear(pVgEp->qmsg);
// taosMemoryFreeClear(pVgEp->qmsg);
taosMemoryFree(pVgEp);
}
}
@ -202,14 +202,18 @@ void tDeleteSMqVgEp(SMqVgEp *pVgEp) {
int32_t tEncodeSMqVgEp(void **buf, const SMqVgEp *pVgEp) {
int32_t tlen = 0;
tlen += taosEncodeFixedI32(buf, pVgEp->vgId);
tlen += taosEncodeString(buf, pVgEp->qmsg);
// tlen += taosEncodeString(buf, pVgEp->qmsg);
tlen += taosEncodeSEpSet(buf, &pVgEp->epSet);
return tlen;
}
void *tDecodeSMqVgEp(const void *buf, SMqVgEp *pVgEp) {
void *tDecodeSMqVgEp(const void *buf, SMqVgEp *pVgEp, int8_t sver) {
buf = taosDecodeFixedI32(buf, &pVgEp->vgId);
buf = taosDecodeString(buf, &pVgEp->qmsg);
if(sver == 1){
uint64_t size = 0;
buf = taosDecodeVariantU64(buf, &size);
buf = POINTER_SHIFT(buf, size);
}
buf = taosDecodeSEpSet(buf, &pVgEp->epSet);
return (void *)buf;
}
@ -385,7 +389,6 @@ void *tDecodeSMqConsumerObj(const void *buf, SMqConsumerObj *pConsumer, int8_t s
buf = taosDecodeFixedI32(buf, &pConsumer->autoCommitInterval);
buf = taosDecodeFixedI32(buf, &pConsumer->resetOffsetCfg);
}
return (void *)buf;
}
@ -393,13 +396,13 @@ void *tDecodeSMqConsumerObj(const void *buf, SMqConsumerObj *pConsumer, int8_t s
// SMqConsumerEp *pConsumerEpNew = taosMemoryMalloc(sizeof(SMqConsumerEp));
// if (pConsumerEpNew == NULL) return NULL;
// pConsumerEpNew->consumerId = pConsumerEpOld->consumerId;
// pConsumerEpNew->vgs = taosArrayDup(pConsumerEpOld->vgs, (__array_item_dup_fn_t)tCloneSMqVgEp);
// pConsumerEpNew->vgs = taosArrayDup(pConsumerEpOld->vgs, NULL);
// return pConsumerEpNew;
//}
//
//void tDeleteSMqConsumerEp(void *data) {
// SMqConsumerEp *pConsumerEp = (SMqConsumerEp *)data;
// taosArrayDestroyP(pConsumerEp->vgs, (FDelete)tDeleteSMqVgEp);
// taosArrayDestroy(pConsumerEp->vgs);
//}
int32_t tEncodeSMqConsumerEp(void **buf, const SMqConsumerEp *pConsumerEp) {
@ -435,7 +438,7 @@ int32_t tEncodeSMqConsumerEp(void **buf, const SMqConsumerEp *pConsumerEp) {
void *tDecodeSMqConsumerEp(const void *buf, SMqConsumerEp *pConsumerEp, int8_t sver) {
buf = taosDecodeFixedI64(buf, &pConsumerEp->consumerId);
buf = taosDecodeArray(buf, &pConsumerEp->vgs, (FDecode)tDecodeSMqVgEp, sizeof(SMqVgEp));
buf = taosDecodeArray(buf, &pConsumerEp->vgs, (FDecode)tDecodeSMqVgEp, sizeof(SMqVgEp), sver);
if (sver > 1){
int32_t szVgs = 0;
buf = taosDecodeFixedI32(buf, &szVgs);
@ -519,6 +522,7 @@ SMqSubscribeObj *tCloneSubscribeObj(const SMqSubscribeObj *pSub) {
pSubNew->unassignedVgs = taosArrayDup(pSub->unassignedVgs, (__array_item_dup_fn_t)tCloneSMqVgEp);
pSubNew->offsetRows = taosArrayDup(pSub->offsetRows, NULL);
memcpy(pSubNew->dbName, pSub->dbName, TSDB_DB_FNAME_LEN);
pSubNew->qmsg = taosStrdup(pSub->qmsg);
return pSubNew;
}
@ -533,6 +537,7 @@ void tDeleteSubscribeObj(SMqSubscribeObj *pSub) {
}
taosHashCleanup(pSub->consumerHash);
taosArrayDestroyP(pSub->unassignedVgs, (FDelete)tDeleteSMqVgEp);
taosMemoryFreeClear(pSub->qmsg);
taosArrayDestroy(pSub->offsetRows);
}
@ -577,6 +582,7 @@ int32_t tEncodeSubscribeObj(void **buf, const SMqSubscribeObj *pSub) {
// do nothing
}
}
tlen += taosEncodeString(buf, pSub->qmsg);
return tlen;
}
@ -599,7 +605,7 @@ void *tDecodeSubscribeObj(const void *buf, SMqSubscribeObj *pSub, int8_t sver) {
taosHashPut(pSub->consumerHash, &consumerEp.consumerId, sizeof(int64_t), &consumerEp, sizeof(SMqConsumerEp));
}
buf = taosDecodeArray(buf, &pSub->unassignedVgs, (FDecode)tDecodeSMqVgEp, sizeof(SMqVgEp));
buf = taosDecodeArray(buf, &pSub->unassignedVgs, (FDecode)tDecodeSMqVgEp, sizeof(SMqVgEp), sver);
buf = taosDecodeStringTo(buf, pSub->dbName);
if (sver > 1){
@ -623,6 +629,7 @@ void *tDecodeSubscribeObj(const void *buf, SMqSubscribeObj *pSub, int8_t sver) {
}
}
}
buf = taosDecodeString(buf, &pSub->qmsg);
}
return (void *)buf;
}

View File

@ -632,7 +632,7 @@ static int32_t mndCreateDnode(SMnode *pMnode, SRpcMsg *pReq, SCreateDnodeReq *pC
pTrans = mndTransCreate(pMnode, TRN_POLICY_ROLLBACK, TRN_CONFLICT_GLOBAL, pReq, "create-dnode");
if (pTrans == NULL) goto _OVER;
mInfo("trans:%d, used to create dnode:%s", pTrans->id, dnodeObj.ep);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
pRaw = mndDnodeActionEncode(&dnodeObj);
if (pRaw == NULL || mndTransAppendCommitlog(pTrans, pRaw) != 0) goto _OVER;
@ -889,7 +889,7 @@ static int32_t mndDropDnode(SMnode *pMnode, SRpcMsg *pReq, SDnodeObj *pDnode, SM
if (pTrans == NULL) goto _OVER;
mndTransSetSerial(pTrans);
mInfo("trans:%d, used to drop dnode:%d, force:%d", pTrans->id, pDnode->id, force);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
pRaw = mndDnodeActionEncode(pDnode);
if (pRaw == NULL) goto _OVER;

View File

@ -645,7 +645,7 @@ int32_t mndAddIndexImpl(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb, SStbObj *pSt
// mInfo("trans:%d, used to add index to stb:%s", pTrans->id, pStb->name);
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
mndTransSetSerial(pTrans);
@ -721,7 +721,7 @@ static int32_t mndDropIdx(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb, SIdxObj *p
mInfo("trans:%d, used to drop idx:%s", pTrans->id, pIdx->name);
mndTransSetDbName(pTrans, pDb->name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
mndTransSetSerial(pTrans);
if (mndSetDropIdxRedoLogs(pMnode, pTrans, pIdx) != 0) goto _OVER;

View File

@ -578,7 +578,7 @@ static int32_t mndCreateMnode(SMnode *pMnode, SRpcMsg *pReq, SDnodeObj *pDnode,
if (pTrans == NULL) goto _OVER;
mndTransSetSerial(pTrans);
mInfo("trans:%d, used to create mnode:%d", pTrans->id, pCreate->dnodeId);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
SMnodeObj mnodeObj = {0};
mnodeObj.id = pDnode->id;
@ -732,7 +732,7 @@ static int32_t mndDropMnode(SMnode *pMnode, SRpcMsg *pReq, SMnodeObj *pObj) {
if (pTrans == NULL) goto _OVER;
mndTransSetSerial(pTrans);
mInfo("trans:%d, used to drop mnode:%d", pTrans->id, pObj->id);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndSetDropMnodeInfoToTrans(pMnode, pTrans, pObj, false) != 0) goto _OVER;
if (mndTransPrepare(pMnode, pTrans) != 0) goto _OVER;

View File

@ -245,7 +245,7 @@ static int32_t mndProcessConnectReq(SRpcMsg *pReq) {
goto _OVER;
}
if (strncmp(connReq.passwd, pUser->pass, TSDB_PASSWORD_LEN - 1) != 0) {
if (strncmp(connReq.passwd, pUser->pass, TSDB_PASSWORD_LEN - 1) != 0 && !tsMndSkipGrant) {
mGError("user:%s, failed to login from %s since invalid pass, input:%s", pReq->info.conn.user, ip, connReq.passwd);
code = TSDB_CODE_MND_AUTH_FAILURE;
goto _OVER;
@ -834,6 +834,9 @@ static int32_t mndRetrieveQueries(SRpcMsg *pReq, SShowObj *pShow, SSDataBlock *p
pColInfo = taosArrayGet(pBlock->pDataBlock, cols++);
colDataSetVal(pColInfo, numOfRows, (const char *)&pQuery->stableQuery, false);
pColInfo = taosArrayGet(pBlock->pDataBlock, cols++);
colDataSetVal(pColInfo, numOfRows, (const char *)&pQuery->isSubQuery, false);
pColInfo = taosArrayGet(pBlock->pDataBlock, cols++);
colDataSetVal(pColInfo, numOfRows, (const char *)&pQuery->subPlanNum, false);

View File

@ -570,23 +570,19 @@ int32_t mndSchedInitSubEp(SMnode* pMnode, const SMqTopicObj* pTopic, SMqSubscrib
mDebug("init subscription %s for topic:%s assign vgId:%d", pSub->key, pTopic->name, pVgEp->vgId);
sdbRelease(pSdb, pVgroup);
}
if (pSubplan) {
int32_t msgLen;
pSubplan->execNode.epSet = pVgEp->epSet;
pSubplan->execNode.nodeId = pVgEp->vgId;
if (qSubPlanToString(pSubplan, &pVgEp->qmsg, &msgLen) < 0) {
sdbRelease(pSdb, pVgroup);
if (qSubPlanToString(pSubplan, &pSub->qmsg, &msgLen) < 0) {
qDestroyQueryPlan(pPlan);
terrno = TSDB_CODE_QRY_INVALID_INPUT;
return -1;
}
} else {
pVgEp->qmsg = taosStrdup("");
}
sdbRelease(pSdb, pVgroup);
pSub->qmsg = taosStrdup("");
}
qDestroyQueryPlan(pPlan);

View File

@ -388,7 +388,7 @@ static int32_t mndSetCreateSmaVgroupRedoLogs(SMnode *pMnode, STrans *pTrans, SVg
SSdbRaw *pVgRaw = mndVgroupActionEncode(pVgroup);
if (pVgRaw == NULL) return -1;
if (mndTransAppendRedolog(pTrans, pVgRaw) != 0) return -1;
if (sdbSetRawStatus(pVgRaw, SDB_STATUS_CREATING) != 0) return -1;
if (sdbSetRawStatus(pVgRaw, SDB_STATUS_UPDATE) != 0) return -1;
return 0;
}
@ -622,11 +622,11 @@ static int32_t mndCreateSma(SMnode *pMnode, SRpcMsg *pReq, SMCreateSmaReq *pCrea
STrans *pTrans = mndTransCreate(pMnode, TRN_POLICY_RETRY, TRN_CONFLICT_DB, pReq, "create-sma");
if (pTrans == NULL) goto _OVER;
mndTransSetDbName(pTrans, pDb->name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
mndTransSetSerial(pTrans);
mInfo("trans:%d, used to create sma:%s stream:%s", pTrans->id, pCreate->name, streamObj.name);
if (mndAddPrepareNewVgAction(pMnode, pTrans, &streamObj.fixedSinkVg) != 0) goto _OVER;
if (mndSetCreateSmaRedoLogs(pMnode, pTrans, &smaObj) != 0) goto _OVER;
if (mndSetCreateSmaVgroupRedoLogs(pMnode, pTrans, &streamObj.fixedSinkVg) != 0) goto _OVER;
if (mndSetCreateSmaCommitLogs(pMnode, pTrans, &smaObj) != 0) goto _OVER;
@ -845,7 +845,7 @@ static int32_t mndDropSma(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb, SSmaObj *p
mInfo("trans:%d, used to drop sma:%s", pTrans->id, pSma->name);
mndTransSetDbName(pTrans, pDb->name, NULL);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
mndTransSetSerial(pTrans);

View File

@ -874,7 +874,7 @@ _OVER:
int32_t mndAddStbToTrans(SMnode *pMnode, STrans *pTrans, SDbObj *pDb, SStbObj *pStb) {
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) return -1;
if (mndTransCheckConflict(pMnode, pTrans) != 0) return -1;
if (mndSetCreateStbRedoLogs(pMnode, pTrans, pDb, pStb) != 0) return -1;
if (mndSetCreateStbUndoLogs(pMnode, pTrans, pDb, pStb) != 0) return -1;
if (mndSetCreateStbCommitLogs(pMnode, pTrans, pDb, pStb) != 0) return -1;
@ -1968,7 +1968,7 @@ static int32_t mndAlterStbImp(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb, SStbOb
mInfo("trans:%d, used to alter stb:%s", pTrans->id, pStb->name);
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (needRsp) {
void *pCont = NULL;
@ -1998,7 +1998,7 @@ static int32_t mndAlterStbAndUpdateTagIdxImp(SMnode *pMnode, SRpcMsg *pReq, SDbO
mInfo("trans:%d, used to alter stb:%s", pTrans->id, pStb->name);
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (needRsp) {
void *pCont = NULL;
@ -2242,7 +2242,7 @@ static int32_t mndDropStb(SMnode *pMnode, SRpcMsg *pReq, SDbObj *pDb, SStbObj *p
mInfo("trans:%d, used to drop stb:%s", pTrans->id, pStb->name);
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndSetDropStbRedoLogs(pMnode, pTrans, pStb) != 0) goto _OVER;
if (mndSetDropStbCommitLogs(pMnode, pTrans, pStb) != 0) goto _OVER;
@ -3298,7 +3298,7 @@ static int32_t mndCheckIndexReq(SCreateTagIndexReq *pReq) {
mInfo("trans:%d, used to add index to stb:%s", pTrans->id, pStb->name);
mndTransSetDbName(pTrans, pDb->name, pStb->name);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndTransCheckConflict(pMnode, pTrans) != 0) goto _OVER;
if (mndSetAlterStbRedoLogs(pMnode, pTrans, pDb, pStb) != 0) goto _OVER;
if (mndSetAlterStbCommitLogs(pMnode, pTrans, pDb, pStb) != 0) goto _OVER;

View File

@ -735,7 +735,7 @@ static int32_t mndProcessCreateStreamReq(SRpcMsg *pReq) {
mInfo("trans:%d, used to create stream:%s", pTrans->id, createStreamReq.name);
mndTransSetDbName(pTrans, createStreamReq.sourceDB, streamObj.targetDb);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
mndTransDrop(pTrans);
goto _OVER;
}
@ -890,7 +890,7 @@ static int32_t mndProcessStreamDoCheckpoint(SRpcMsg *pReq) {
STrans *pTrans = mndTransCreate(pMnode, TRN_POLICY_RETRY, TRN_CONFLICT_DB_INSIDE, pReq, "stream-checkpoint");
if (pTrans == NULL) return -1;
mndTransSetDbName(pTrans, pStream->sourceDb, pStream->targetDb);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
mndReleaseStream(pMnode, pStream);
mndTransDrop(pTrans);
return -1;
@ -1001,7 +1001,7 @@ static int32_t mndProcessDropStreamReq(SRpcMsg *pReq) {
mInfo("trans:%d, used to drop stream:%s", pTrans->id, dropReq.name);
mndTransSetDbName(pTrans, pStream->sourceDb, pStream->targetDb);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
sdbRelease(pMnode->pSdb, pStream);
mndTransDrop(pTrans);
return -1;
@ -1369,7 +1369,7 @@ static int32_t mndProcessPauseStreamReq(SRpcMsg *pReq) {
mInfo("trans:%d, used to pause stream:%s", pTrans->id, pauseReq.name);
mndTransSetDbName(pTrans, pStream->sourceDb, pStream->targetDb);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
sdbRelease(pMnode->pSdb, pStream);
mndTransDrop(pTrans);
return -1;
@ -1477,7 +1477,7 @@ static int32_t mndProcessResumeStreamReq(SRpcMsg *pReq) {
mInfo("trans:%d, used to pause stream:%s", pTrans->id, pauseReq.name);
mndTransSetDbName(pTrans, pStream->sourceDb, pStream->targetDb);
if (mndTrancCheckConflict(pMnode, pTrans) != 0) {
if (mndTransCheckConflict(pMnode, pTrans) != 0) {
sdbRelease(pMnode->pSdb, pStream);
mndTransDrop(pTrans);
return -1;

Some files were not shown because too many files have changed in this diff Show More