Version: Next

MySQL

JDBC Mysql Sink Connector

Support Mysql Version

5.5/5.6/5.7/8.0/8.1/8.2/8.3/8.4

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Description

Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing, support exactly-once semantics (using XA transaction guarantee).

Using Dependency

For Spark/Flink Engine

You need to ensure that the jdbc driver jar package has been placed in directory ${SEATUNNEL_HOME}/plugins/.

For SeaTunnel Zeta Engine

You need to ensure that the jdbc driver jar package has been placed in directory ${SEATUNNEL_HOME}/lib/.

Key Features

Use Xa transactions to ensure exactly-once. So only support exactly-once for the database which is support Xa transactions. You can set is_exactly_once=true to enable it.

Supported DataSource Info

Datasource	Supported Versions	Driver	Url	Maven
Mysql	Different dependency version has different driver class.	com.mysql.cj.jdbc.Driver	jdbc:mysql://localhost:3306:3306/test	Download

Data Type Mapping

Mysql Data Type	SeaTunnel Data Type
BIT(1) INT UNSIGNED	BOOLEAN
TINYINT TINYINT UNSIGNED SMALLINT SMALLINT UNSIGNED MEDIUMINT MEDIUMINT UNSIGNED INT INTEGER YEAR	INT
INT UNSIGNED INTEGER UNSIGNED BIGINT	BIGINT
BIGINT UNSIGNED	DECIMAL(20,0)
DECIMAL(x,y)(Get the designated column's specified column size.<38)	DECIMAL(x,y)
DECIMAL(x,y)(Get the designated column's specified column size.>38)	DECIMAL(38,18)
DECIMAL UNSIGNED	DECIMAL((Get the designated column's specified column size)+1, (Gets the designated column's number of digits to right of the decimal point.)))
FLOAT FLOAT UNSIGNED	FLOAT
DOUBLE DOUBLE UNSIGNED	DOUBLE
CHAR VARCHAR TINYTEXT MEDIUMTEXT TEXT LONGTEXT JSON	STRING
DATE	DATE
TIME	TIME
DATETIME TIMESTAMP	TIMESTAMP
TINYBLOB MEDIUMBLOB BLOB LONGBLOB BINARY VARBINAR BIT(n)	BYTES
GEOMETRY UNKNOWN	Not supported yet

Sink Options

Name	Type	Required	Default	Description
url	String	Yes	-	The URL of the JDBC connection. Refer to a case: jdbc:mysql://localhost:3306:3306/test
driver	String	Yes	-	The jdbc class name used to connect to the remote data source, if you use MySQL the value is `com.mysql.cj.jdbc.Driver`.
user	String	No	-	Connection instance user name
password	String	No	-	Connection instance password
query	String	No	-	Use this sql write upstream input datas to database. e.g `INSERT ...`,`query` have the higher priority
database	String	No	-	Use this `database` and `table-name` auto-generate sql and receive upstream input datas write to database. This option is mutually exclusive with `query` and has a higher priority.
table	String	No	-	Use database and this table-name auto-generate sql and receive upstream input datas write to database. This option is mutually exclusive with `query` and has a higher priority.
primary_keys	Array	No	-	This option is used to support operations such as `insert`, `delete`, and `update` when automatically generate sql.
support_upsert_by_query_primary_key_exist	Boolean	No	false	Choose to use INSERT sql, UPDATE sql to process update events(INSERT, UPDATE_AFTER) based on query primary key exists. This configuration is only used when database unsupport upsert syntax. Note: that this method has low performance
connection_check_timeout_sec	Int	No	30	The time in seconds to wait for the database operation used to validate the connection to complete.
max_retries	Int	No	0	The number of retries to submit failed (executeBatch)
batch_size	Int	No	1000	For batch writing, when the number of buffered records reaches the number of `batch_size` or the time reaches `checkpoint.interval` , the data will be flushed into the database
is_exactly_once	Boolean	No	false	Whether to enable exactly-once semantics, which will use Xa transactions. If on, you need to set `xa_data_source_class_name`.
generate_sink_sql	Boolean	No	false	Generate sql statements based on the database table you want to write to
xa_data_source_class_name	String	No	-	The xa data source class name of the database Driver, for example, mysql is `com.mysql.cj.jdbc.MysqlXADataSource`, and please refer to appendix for other data sources
max_commit_attempts	Int	No	3	The number of retries for transaction commit failures
transaction_timeout_sec	Int	No	-1	The timeout after the transaction is opened, the default is -1 (never timeout). Note that setting the timeout may affect exactly-once semantics
auto_commit	Boolean	No	true	Automatic transaction commit is enabled by default
field_ide	String	No	-	Identify whether the field needs to be converted when synchronizing from the source to the sink. `ORIGINAL` indicates no conversion is needed;`UPPERCASE` indicates conversion to uppercase;`LOWERCASE` indicates conversion to lowercase.
properties	Map	No	-	Additional connection configuration parameters,when properties and URL have the same parameters, the priority is determined by the specific implementation of the driver. For example, in MySQL, properties take precedence over the URL.
common-options		No	-	Sink plugin common parameters, please refer to Sink Common Options for details
schema_save_mode	Enum	No	CREATE_SCHEMA_WHEN_NOT_EXIST	Before the synchronous task is turned on, different treatment schemes are selected for the existing surface structure of the target side.
data_save_mode	Enum	No	APPEND_DATA	Before the synchronous task is turned on, different processing schemes are selected for data existing data on the target side.
custom_sql	String	No	-	When data_save_mode selects CUSTOM_PROCESSING, you should fill in the CUSTOM_SQL parameter. This parameter usually fills in a SQL that can be executed. SQL will be executed before synchronization tasks.
enable_upsert	Boolean	No	true	Enable upsert by primary_keys exist, If the task only has `insert`, setting this parameter to `false` can speed up data import

Tips

If partition_column is not set, it will run in single concurrency, and if partition_column is set, it will be executed in parallel according to the concurrency of tasks.

Task Example

Simple:

This example defines a SeaTunnel synchronization task that automatically generates data through FakeSource and sends it to JDBC Sink. FakeSource generates a total of 16 rows of data (row.num=16), with each row having two fields, name (string type) and age (int type). The final target table is test_table will also be 16 rows of data in the table. Before run this job, you need create database test and table test_table in your mysql. And if you have not yet installed and deployed SeaTunnel, you need to follow the instructions in Install SeaTunnel to install and deploy SeaTunnel. And then follow the instructions in Quick Start With SeaTunnel Engine to run this job.

# Defining the runtime environment
env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  # This is a example source plugin **only for test and demonstrate the feature source plugin**
  FakeSource {
    parallelism = 1
    plugin_output = "fake"
    row.num = 16
    schema = {
      fields {
        name = "string"
        age = "int"
      }
    }
  }
  # If you would like to get more information about how to configure seatunnel and see full list of source plugins,
  # please go to https://seatunnel.apache.org/docs/connector-v2/source
}

transform {
  # If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
    # please go to https://seatunnel.apache.org/docs/category/transform-v2
}

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        query = "insert into test_table(name,age) values(?,?)"
        }
  # If you would like to get more information about how to configure seatunnel and see full list of sink plugins,
  # please go to https://seatunnel.apache.org/docs/connector-v2/sink
}

Generate Sink SQL

This example not need to write complex sql statements, you can configure the database name table name to automatically generate add statements for you

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        # Automatically generate sql statements based on database table names
        generate_sink_sql = true
        database = test
        table = test_table
    }
}

Exactly-once :

For accurate write scene we guarantee accurate once

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
        driver = "com.mysql.cj.jdbc.Driver"
    
        max_retries = 0
        user = "root"
        password = "123456"
        query = "insert into test_table(name,age) values(?,?)"
    
        is_exactly_once = "true"
    
        xa_data_source_class_name = "com.mysql.cj.jdbc.MysqlXADataSource"
    }
}

CDC(Change Data Capture) Event

CDC change data is also supported by us In this case, you need config database, table and primary_keys.

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        
        generate_sink_sql = true
        # You need to configure both database and table
        database = test
        table = sink_table
        primary_keys = ["id","name"]
        field_ide = UPPERCASE
        schema_save_mode = "CREATE_SCHEMA_WHEN_NOT_EXIST"
        data_save_mode="APPEND_DATA"
    }
}

MySQL

Support Mysql Version​

Support Those Engines​

Description​

Using Dependency​

For Spark/Flink Engine​

For SeaTunnel Zeta Engine​

Key Features​

Supported DataSource Info​

Data Type Mapping​

Sink Options​

Tips​

Task Example​

Simple:​

Generate Sink SQL​

Exactly-once :​

CDC(Change Data Capture) Event​

Support Mysql Version

Support Those Engines

Description

Using Dependency

For Spark/Flink Engine

For SeaTunnel Zeta Engine

Key Features

Supported DataSource Info

Data Type Mapping

Sink Options

Tips

Task Example

Simple:

Generate Sink SQL

Exactly-once :

CDC(Change Data Capture) Event