JDBC PostgreSql Sink Connector

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

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
• cdc

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

Database Dependency

Please download the support list corresponding to ‘Maven’ and copy it to the ‘$SEATNUNNEL_HOME/plugins/jdbc/lib/‘ working directory
For example PostgreSQL datasource: cp postgresql-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/
If you want to manipulate the GEOMETRY type in PostgreSQL, add postgresql-xxx.jar and postgis-jdbc-xxx.jar to $SEATNUNNEL_HOME/plugins/jdbc/lib/

Data Type Mapping

Options

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.

for example:

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

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

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.

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 PostgreSQL. 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 {
  FakeSource {
    parallelism = 1
    result_table_name = "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/category/source-v2
}
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 {
       # if you would use json or jsonb type insert please add jdbc url stringtype=unspecified option
        url = "jdbc:postgresql://localhost:5432/test"
        driver = "org.postgresql.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/category/sink-v2
}

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 {
        # if you would use json or jsonb type insert please add jdbc url stringtype=unspecified option
        url = "jdbc:postgresql://localhost:5432/test"
        driver = org.postgresql.Driver
        user = root
        password = 123456
        generate_sink_sql = true
        database = test
        table = "public.test_table"
    }
}

Exactly-once :

For accurate write scene we guarantee accurate once

sink {
    jdbc {
       # if you would use json or jsonb type insert please add jdbc url stringtype=unspecified option
        url = "jdbc:postgresql://localhost:5432/test"
        driver = "org.postgresql.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 = "org.postgresql.xa.PGXADataSource"
    }
}

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 {
        # if you would use json or jsonb type insert please add jdbc url stringtype=unspecified option
        url = "jdbc:postgresql://localhost:5432/test"
        driver = "org.postgresql.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
    }
}

Save mode function

sink {
    Jdbc {
        # if you would use json or jsonb type insert please add jdbc url stringtype=unspecified option
        url = "jdbc:postgresql://localhost:5432/test"
        driver = org.postgresql.Driver
        user = root
        password = 123456
        generate_sink_sql = true
        database = test
        table = "public.test_table"
        schema_save_mode = "CREATE_SCHEMA_WHEN_NOT_EXIST"
        data_save_mode="APPEND_DATA"
    }
}