SQL UDF

UDF of SQL transform plugin

Description

Use UDF SPI to extends the SQL transform functions lib.

UDF API

package org.apache.seatunnel.transform.sql.zeta;

public interface ZetaUDF {
    /**
     * Function name
     *
     * @return function name
     */
    String functionName();

    /**
     * The type of function result
     *
     * @param argsType input arguments type
     * @return result type
     */
    SeaTunnelDataType<?> resultType(List<SeaTunnelDataType<?>> argsType);

    /**
     * Evaluate
     *
     * @param args input arguments
     * @return result value
     */
    Object evaluate(List<Object> args);
}

UDF Implements Example

Add the dependency of transform-v2 and provided scope to your maven project:

<dependency>
    <groupId>org.apache.seatunnel</groupId>
    <artifactId>seatunnel-transforms-v2</artifactId>
    <version>2.3.x</version>
    <scope>provided</scope>
</dependency>

<dependency>
    <groupId>org.apache.seatunnel</groupId>
    <artifactId>seatunnel-api</artifactId>
    <version>2.3.x</version>
    <scope>provided</scope>
</dependency>

Add a Java Class implements of ZetaUDF like this:

@AutoService(ZetaUDF.class)
public class ExampleUDF implements ZetaUDF {
    @Override
    public String functionName() {
        return "EXAMPLE";
    }

    @Override
    public SeaTunnelDataType<?> resultType(List<SeaTunnelDataType<?>> argsType) {
        return BasicType.STRING_TYPE;
    }

    @Override
    public Object evaluate(List<Object> args) {
        String arg = (String) args.get(0);
        if (arg == null) return null;
        return "UDF: " + arg;
    }
}

Package the UDF project and copy the jar to the path: ${SEATUNNEL_HOME}/lib

Example

The data read from source is a table like this:

id	name	age
1	Joy Ding	20
2	May Ding	21
3	Kin Dom	24
4	Joy Dom	22

We use UDF of SQL query to transform the source data like this:

transform {
  Sql {
    source_table_name = "fake"
    result_table_name = "fake1"
    query = "select id, example(name) as name, age from fake"
  }
}

Then the data in result table fake1 will update to

id	name	age
1	UDF: Joy Ding	20
2	UDF: May Ding	21
3	UDF: Kin Dom	24
4	UDF: Joy Dom	22

Changelog

new version

• Add UDF of SQL Transform Connector