PostgreSQL

JDBC PostgreSQL Source Connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Key Features

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

supports query SQL and can achieve projection effect.

Description

Read external data source data through JDBC.

Supported DataSource Info

Datasource	Supported versions	Driver	Url	Maven
PostgreSQL	Different dependency version has different driver class.	org.postgresql.Driver	jdbc:postgresql://localhost:5432/test	Download
PostgreSQL	If you want to manipulate the GEOMETRY type in PostgreSQL.	org.postgresql.Driver	jdbc:postgresql://localhost:5432/test	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 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

PostgreSQL Data type	SeaTunnel Data type
BOOL	BOOLEAN
_BOOL	ARRAY<BOOLEAN>
BYTEA	BYTES
_BYTEA	ARRAY<TINYINT>
INT2 SMALLSERIAL INT4 SERIAL	INT
_INT2 _INT4	ARRAY<INT>
INT8 BIGSERIAL	BIGINT
_INT8	ARRAY<BIGINT>
FLOAT4	FLOAT
_FLOAT4	ARRAY<FLOAT>
FLOAT8	DOUBLE
_FLOAT8	ARRAY<DOUBLE>
NUMERIC(Get the designated column's specified column size>0)	DECIMAL(Get the designated column's specified column size,Gets the number of digits in the specified column to the right of the decimal point)
NUMERIC(Get the designated column's specified column size<0)	DECIMAL(38, 18)
BPCHAR CHARACTER VARCHAR TEXT GEOMETRY GEOGRAPHY JSON JSONB	STRING
_BPCHAR _CHARACTER _VARCHAR _TEXT	ARRAY<STRING>
TIMESTAMP	TIMESTAMP
TIME	TIME
DATE	DATE
OTHER DATA TYPES	NOT SUPPORTED YET

Options

Name	Type	Required	Default	Description
url	String	Yes	-	The URL of the JDBC connection. Refer to a case: jdbc:postgresql://localhost:5432/test
driver	String	Yes	-	The jdbc class name used to connect to the remote data source, if you use PostgreSQL the value is org.postgresql.Driver.
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.
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 {
  # You can set flink configuration here
  execution.parallelism = 2
  job.mode = "BATCH"
}

source{
    Jdbc {
        url = "jdbc:postgresql://localhost:5432/test"
        driver = "org.postgresql.Driver"
        user = "root"
        password = "test"
        query = "select * from source limit 16"
    }
}

transform {
    # 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:postgresql://localhost:5432/test"
        driver = "org.postgresql.Driver"
        user = "root"
        password = "test"
        query = "select * from source"
        partition_column= "id"
        partition_num = 5
    }
}

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:postgresql://localhost:5432/test"
        driver = "org.postgresql.Driver"
        user = "root"
        password = "test"
        query = "select * from source"
        partition_column= "id"
        
        # The name of the table returned
        result_table_name = "jdbc"
        partition_lower_bound = 1
        partition_upper_bound = 50
        partition_num = 5
    }
}