DB2

JDBC DB2 Source Connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Description

Read external data source data through JDBC.

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

• batch
• stream
• exactly-once
• column projection
• parallelism
• support user-defined split

supports query SQL and can achieve projection effect.

Supported DataSource Info

Datasource	Supported versions	Driver	Url	Maven
DB2	Different dependency version has different driver class.	com.ibm.db2.jdbc.app.DB2Driver	jdbc:db2://127.0.0.1:50000/dbname	Download

Database Dependency

Please download the support list corresponding to 'Maven' and copy it to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory
For example DB2 datasource: cp db2-connector-java-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/

Data Type Mapping

DB2 Data Type	SeaTunnel Data Type
BOOLEAN	BOOLEAN
SMALLINT	SHORT
INT INTEGER	INTEGER
BIGINT	LONG
DECIMAL DEC NUMERIC NUM	DECIMAL(38,18)
REAL	FLOAT
FLOAT DOUBLE DOUBLE PRECISION DECFLOAT	DOUBLE
CHAR VARCHAR LONG VARCHAR CLOB GRAPHIC VARGRAPHIC LONG VARGRAPHIC DBCLOB	STRING
BLOB	BYTES
DATE	DATE
TIME	TIME
TIMESTAMP	TIMESTAMP
ROWID XML	Not supported yet

Source Options

Name	Type	Required	Default	Description
url	String	Yes	-	The URL of the JDBC connection. Refer to a case: jdbc:db2://127.0.0.1:50000/dbname
driver	String	Yes	-	The jdbc class name used to connect to the remote data source, if you use db2 the value is com.ibm.db2.jdbc.app.DB2Driver.
user	String	No	-	Connection instance user name
password	String	No	-	Connection instance password
query	String	Yes	-	Query statement
connection_check_timeout_sec	Int	No	30	The time in seconds to wait for the database operation used to validate the connection to complete
partition_column	String	No	-	The column name for parallelism's partition, only support numeric type,Only support numeric type primary key, and only can config one column.
partition_lower_bound	BigDecimal	No	-	The partition_column min value for scan, if not set SeaTunnel will query database get min value.
partition_upper_bound	BigDecimal	No	-	The partition_column max value for scan, if not set SeaTunnel will query database get max value.
partition_num	Int	No	job parallelism	The number of partition count, only support positive integer. default value is job parallelism
fetch_size	Int	No	0	For queries that return a large number of objects,you can configure the row fetch size used in the query toimprove performance by reducing the number database hits required to satisfy the selection criteria. Zero means use jdbc default value.
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	-	Source plugin common parameters, please refer to Source Common Options for details

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 queries type_bin 'table' 16 data in your test "database" in single parallel and queries all of its fields. You can also specify which fields to query for final output to the console.

# Defining the runtime environment
env {
  parallelism = 2
  job.mode = "BATCH"
}
source{
    Jdbc {
        url = "jdbc:db2://127.0.0.1:50000/dbname"
        driver = "com.ibm.db2.jdbc.app.DB2Driver"
        connection_check_timeout_sec = 100
        user = "root"
        password = "123456"
        query = "select * from table_xxx"
    }
}

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/transform-v2/sql
}

sink {
    Console {}
}

Parallel:

Read your query table in parallel with the shard field you configured and the shard data You can do this if you want to read the whole table

source {
    Jdbc {
        url = "jdbc:db2://127.0.0.1:50000/dbname"
        driver = "com.ibm.db2.jdbc.app.DB2Driver"
        connection_check_timeout_sec = 100
        user = "root"
        password = "123456"
        # Define query logic as required
        query = "select * from type_bin"
        # Parallel sharding reads fields
        partition_column = "id"
        # Number of fragments
        partition_num = 10
    }
}

Parallel Boundary:

It is more efficient to specify the data within the upper and lower bounds of the query It is more efficient to read your data source according to the upper and lower boundaries you configured

source {
    Jdbc {
        url = "jdbc:db2://127.0.0.1:50000/dbname"
        driver = "com.ibm.db2.jdbc.app.DB2Driver"
        connection_check_timeout_sec = 100
        user = "root"
        password = "123456"
        # Define query logic as required
        query = "select * from type_bin"
        partition_column = "id"
        # Read start boundary
        partition_lower_bound = 1
        # Read end boundary
        partition_upper_bound = 500
        partition_num = 10
    }
}