JDBC

JDBC sink connector

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

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

For SeaTunnel Zeta Engine

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

Key Features

• exactly-once

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.

• cdc
• support multiple table write

Options

Name	Type	Required	Default
url	String	Yes	-
driver	String	Yes	-
user	String	No	-
password	String	No	-
query	String	No	-
compatible_mode	String	No	-
database	String	No	-
table	String	No	-
primary_keys	Array	No	-
support_upsert_by_query_primary_key_exist	Boolean	No	false
connection_check_timeout_sec	Int	No	30
max_retries	Int	No	0
batch_size	Int	No	1000
is_exactly_once	Boolean	No	false
generate_sink_sql	Boolean	No	false
xa_data_source_class_name	String	No	-
max_commit_attempts	Int	No	3
transaction_timeout_sec	Int	No	-1
auto_commit	Boolean	No	true
field_ide	String	No	-
properties	Map	No	-
common-options		No	-
schema_save_mode	Enum	No	CREATE_SCHEMA_WHEN_NOT_EXIST
data_save_mode	Enum	No	APPEND_DATA
custom_sql	String	No	-
enable_upsert	Boolean	No	true
use_copy_statement	Boolean	No	false
create_index	Boolean	No	true

driver [string]

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]

userName

password [string]

password

url [string]

The URL of the JDBC connection. Refer to a case: jdbc:postgresql://localhost/test

query [string]

Use this sql write upstream input datas to database. e.g INSERT ...

compatible_mode [string]

The compatible mode of database, required when the database supports multiple compatible modes.

For example, when using OceanBase database, you need to set it to 'mysql' or 'oracle'. when using StarRocks, you need set it to starrocks.

Postgres 9.5 version or below,please set it to postgresLow to support cdc

database [string]

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]

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.

The table parameter can fill in the name of an unwilling table, which will eventually be used as the table name of the creation table, and supports variables (${table_name}, ${schema_name}). Replacement rules: ${schema_name} will replace the SCHEMA name passed to the target side, and ${table_name} will replace the name of the table passed to the table at the target side.

mysql sink for example:

1. test${schema_name}${table_name}_test
2. sink_sinktable
3. ss_${table_name}

pgsql (Oracle Sqlserver ...) Sink for example:

1. ${schema_name}.${table_name} _test
2. dbo.tt_${table_name} _sink
3. public.sink_table

Tip: If the target database has the concept of SCHEMA, the table parameter must be written as xxx.xxx

primary_keys [array]

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]

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 unsupported upsert syntax. Note: that this method has low performance

connection_check_timeout_sec [int]

The time in seconds to wait for the database operation used to validate the connection to complete.

max_retries[int]

The number of retries to submit failed (executeBatch)

batch_size[int]

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]

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]

Generate sql statements based on the database table you want to write to

xa_data_source_class_name[string]

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]

The number of retries for transaction commit failures

transaction_timeout_sec[int]

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]

Automatic transaction commit is enabled by default

field_ide [String]

The field "field_ide" is used to identify whether the field needs to be converted to uppercase or lowercase when synchronizing from the source to the sink. "ORIGINAL" indicates no conversion is needed, "UPPERCASE" indicates conversion to uppercase, and "LOWERCASE" indicates conversion to lowercase.

properties

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

Sink plugin common parameters, please refer to Sink Common Options for details

schema_save_mode [Enum]

Before the synchronous task is turned on, different treatment schemes are selected for the existing surface structure of the target side.
Option introduction：
RECREATE_SCHEMA ：Will create when the table does not exist, delete and rebuild when the table is saved
CREATE_SCHEMA_WHEN_NOT_EXIST ：Will Created when the table does not exist, skipped when the table is saved
ERROR_WHEN_SCHEMA_NOT_EXIST ：Error will be reported when the table does not exist
IGNORE ：Ignore the treatment of the table

data_save_mode [Enum]

Before the synchronous task is turned on, different processing schemes are selected for data existing data on the target side.
Option introduction：
DROP_DATA： Preserve database structure and delete data
APPEND_DATA：Preserve database structure, preserve data
CUSTOM_PROCESSING：User defined processing
ERROR_WHEN_DATA_EXISTS：When there is data, an error is reported

custom_sql [String]

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]

Enable upsert by primary_keys exist, If the task has no key duplicate data, setting this parameter to false can speed up data import

use_copy_statement [boolean]

Use COPY ${table} FROM STDIN statement to import data. Only drivers with getCopyAPI() method connections are supported. e.g.: Postgresql driver org.postgresql.Driver.

NOTICE: MAP, ARRAY, ROW types are not supported.

create_index [boolean]

Create the index(contains primary key and any other indexes) or not when auto-create table. You can use this option to improve the performance of jdbc writes when migrating large tables.

Notice: Note that this will sacrifice read performance, so you'll need to manually create indexes after the table migration to improve read performance

tips

In the case of is_exactly_once = "true", Xa transactions are used. This requires database support, and some databases require some setup : 1 postgres needs to set max_prepared_transactions > 1 such as ALTER SYSTEM set max_prepared_transactions to 10. 2 mysql version need >= 8.0.29 and Non-root users need to grant XA_RECOVER_ADMIN permissions. such as grant XA_RECOVER_ADMIN on test_db.* to 'user1'@'%'. 3 mysql can try to add rewriteBatchedStatements=true parameter in url for better performance.

appendix

there are some reference value for params above.

datasource	driver	url	xa_data_source_class_name	maven
MySQL	com.mysql.cj.jdbc.Driver	jdbc:mysql://localhost:3306/test	com.mysql.cj.jdbc.MysqlXADataSource	https://mvnrepository.com/artifact/mysql/mysql-connector-java
PostgreSQL	org.postgresql.Driver	jdbc:postgresql://localhost:5432/postgres	org.postgresql.xa.PGXADataSource	https://mvnrepository.com/artifact/org.postgresql/postgresql
DM	dm.jdbc.driver.DmDriver	jdbc:dm://localhost:5236	dm.jdbc.driver.DmdbXADataSource	https://mvnrepository.com/artifact/com.dameng/DmJdbcDriver18
Phoenix	org.apache.phoenix.queryserver.client.Driver	jdbc:phoenix:thin:url=http://localhost:8765;serialization=PROTOBUF	/	https://mvnrepository.com/artifact/com.aliyun.phoenix/ali-phoenix-shaded-thin-client
SQL Server	com.microsoft.sqlserver.jdbc.SQLServerDriver	jdbc:sqlserver://localhost:1433	com.microsoft.sqlserver.jdbc.SQLServerXADataSource	https://mvnrepository.com/artifact/com.microsoft.sqlserver/mssql-jdbc
Oracle	oracle.jdbc.OracleDriver	jdbc:oracle:thin:@localhost:1521/xepdb1	oracle.jdbc.xa.OracleXADataSource	https://mvnrepository.com/artifact/com.oracle.database.jdbc/ojdbc8
sqlite	org.sqlite.JDBC	jdbc:sqlite:test.db	/	https://mvnrepository.com/artifact/org.xerial/sqlite-jdbc
GBase8a	com.gbase.jdbc.Driver	jdbc:gbase://e2e_gbase8aDb:5258/test	/	https://cdn.gbase.cn/products/30/p5CiVwXBKQYIUGN8ecHvk/gbase-connector-java-9.5.0.7-build1-bin.jar
StarRocks	com.mysql.cj.jdbc.Driver	jdbc:mysql://localhost:3306/test	/	https://mvnrepository.com/artifact/mysql/mysql-connector-java
db2	com.ibm.db2.jcc.DB2Driver	jdbc:db2://localhost:50000/testdb	com.ibm.db2.jcc.DB2XADataSource	https://mvnrepository.com/artifact/com.ibm.db2.jcc/db2jcc/db2jcc4
saphana	com.sap.db.jdbc.Driver	jdbc:sap://localhost:39015	/	https://mvnrepository.com/artifact/com.sap.cloud.db.jdbc/ngdbc
Doris	com.mysql.cj.jdbc.Driver	jdbc:mysql://localhost:3306/test	/	https://mvnrepository.com/artifact/mysql/mysql-connector-java
teradata	com.teradata.jdbc.TeraDriver	jdbc:teradata://localhost/DBS_PORT=1025,DATABASE=test	/	https://mvnrepository.com/artifact/com.teradata.jdbc/terajdbc
Redshift	com.amazon.redshift.jdbc42.Driver	jdbc:redshift://localhost:5439/testdb	com.amazon.redshift.xa.RedshiftXADataSource	https://mvnrepository.com/artifact/com.amazon.redshift/redshift-jdbc42
Snowflake	net.snowflake.client.jdbc.SnowflakeDriver	jdbc:snowflake://<account_name>.snowflakecomputing.com	/	https://mvnrepository.com/artifact/net.snowflake/snowflake-jdbc
Vertica	com.vertica.jdbc.Driver	jdbc:vertica://localhost:5433	/	https://repo1.maven.org/maven2/com/vertica/jdbc/vertica-jdbc/12.0.3-0/vertica-jdbc-12.0.3-0.jar
Kingbase	com.kingbase8.Driver	jdbc:kingbase8://localhost:54321/db_test	/	https://repo1.maven.org/maven2/cn/com/kingbase/kingbase8/8.6.0/kingbase8-8.6.0.jar
OceanBase	com.oceanbase.jdbc.Driver	jdbc:oceanbase://localhost:2881	/	https://repo1.maven.org/maven2/com/oceanbase/oceanbase-client/2.4.11/oceanbase-client-2.4.11.jar
xugu	com.xugu.cloudjdbc.Driver	jdbc:xugu://localhost:5138	/	https://repo1.maven.org/maven2/com/xugudb/xugu-jdbc/12.2.0/xugu-jdbc-12.2.0.jar
InterSystems IRIS	com.intersystems.jdbc.IRISDriver	jdbc:IRIS://localhost:1972/%SYS	/	https://raw.githubusercontent.com/intersystems-community/iris-driver-distribution/main/JDBC/JDK18/intersystems-jdbc-3.8.4.jar

Example

Simple

jdbc {
    url = "jdbc:mysql://localhost:3306/test"
    driver = "com.mysql.cj.jdbc.Driver"
    user = "root"
    password = "123456"
    query = "insert into test_table(name,age) values(?,?)"
}

Exactly-once

Turn on exact one-time semantics by setting is_exactly_once

jdbc {

    url = "jdbc:mysql://localhost:3306/test"
    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

jdbc receive CDC example

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        
        database = "sink_database"
        table = "sink_table"
        primary_keys = ["key1", "key2", ...]
    }
}

Add saveMode function

To facilitate the creation of tables when they do not already exist, set the schema_save_mode to CREATE_SCHEMA_WHEN_NOT_EXIST.

sink {
    jdbc {
        url = "jdbc:mysql://localhost:3306"
        driver = "com.mysql.cj.jdbc.Driver"
        user = "root"
        password = "123456"
        generate_sink_sql = "true"
        database = "sink_database"
        table = "sink_table"
        primary_keys = ["key1", "key2", ...]
        schema_save_mode = "CREATE_SCHEMA_WHEN_NOT_EXIST"
        data_save_mode="APPEND_DATA"
    }
}

Postgresql 9.5 version below support CDC(Change data capture) event

For PostgreSQL versions 9.5 and below, setting compatible_mode to postgresLow to enable support for PostgreSQL Change Data Capture (CDC) operations.

sink {
    jdbc {
        url = "jdbc:postgresql://localhost:5432"
        driver = "org.postgresql.Driver"
        user = "root"
        password = "123456"
        compatible_mode="postgresLow"
        database = "sink_database"
        table = "sink_table"
        support_upsert_by_query_primary_key_exist = true
        generate_sink_sql = true
        primary_keys = ["key1", "key2", ...]
    }
}

Multiple table

example1

env {
  parallelism = 1
  job.mode = "STREAMING"
  checkpoint.interval = 5000
}

source {
  Mysql-CDC {
    base-url = "jdbc:mysql://127.0.0.1:3306/seatunnel"
    username = "root"
    password = "******"
    
    table-names = ["seatunnel.role","seatunnel.user","galileo.Bucket"]
  }
}

transform {
}

sink {
  jdbc {
    url = "jdbc:mysql://localhost:3306"
    driver = "com.mysql.cj.jdbc.Driver"
    user = "root"
    password = "123456"
    generate_sink_sql = true
    
    database = "${database_name}_test"
    table = "${table_name}_test"
    primary_keys = ["${primary_key}"]
  }
}

example2

env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  Jdbc {
    driver = oracle.jdbc.driver.OracleDriver
    url = "jdbc:oracle:thin:@localhost:1521/XE"
    user = testUser
    password = testPassword

    table_list = [
      {
        table_path = "TESTSCHEMA.TABLE_1"
      },
      {
        table_path = "TESTSCHEMA.TABLE_2"
      }
    ]
  }
}

transform {
}

sink {
  jdbc {
    url = "jdbc:mysql://localhost:3306"
    driver = "com.mysql.cj.jdbc.Driver"
    user = "root"
    password = "123456"
    generate_sink_sql = true

    database = "${schema_name}_test"
    table = "${table_name}_test"
    primary_keys = ["${primary_key}"]
  }
}

Changelog

2.2.0-beta 2022-09-26

• Add Console Sink Connector

2.3.0-beta 2022-10-20

• [BugFix] Fix JDBC split exception (2904)
• [Feature] Support Phoenix JDBC Sink (2499)
• [Feature] Support SQL Server JDBC Sink (2646)
• [Feature] Support Oracle JDBC Sink (2550)
• [Feature] Support StarRocks JDBC Sink (3060)
• [Feature] Support DB2 JDBC Sink (2410)

next version

• [Feature] Support CDC write DELETE/UPDATE/INSERT events (3378)
• [Feature] Support Teradata JDBC　Sink (3362)
• [Feature] Support Sqlite JDBC Sink (3089)
• [Feature] Support CDC write DELETE/UPDATE/INSERT events (3378)
• [Feature] Support Doris JDBC Sink
• [Feature] Support Redshift JDBC Sink(#3615)
• [Improve] Add config item enable upsert by query(#3708)
• [Improve] Add database field to sink config(#4199)
• [Improve] Add Vertica connector(#4303)