Caution

The Tuple2SerializationSchema class serializes the second element of the tuple as a String. It cannot be used for other purposes.

1. Build Project:

   1. Please adjust the versions of flink-core and flink-streaming-java in the pom.xml to match the Flink version used in your PyFlink project.

2. Add the JAR File to PyFlink Environment:

   1. Place the built JAR file in the directory of the PyFlink project.

   2. Add the JAR file to the PyFlink environment using the add_jars method of the StreamExecutionEnvironment class.

      from pyflink.common import Configuration
      from pyflink.datastream import StreamExecutionEnvironment
      from pyflink.table import StreamTableEnvironment
      
      env = StreamExecutionEnvironment.get_execution_environment()
      env.add_jars("path/to/your/jar_file.jar")
      t_env = StreamTableEnvironment.create(env)
      

3. Use the Java UDF in PyFlink:

   By retrieving an instance of the Java class, you can utilize its methods and integrate it into your PyFlink job.

   from pyflink.java_gateway import get_gateway
   
   gateway = get_gateway()
   java_udf_instance = gateway.jvm.org.serialization.Tuple2SerializationSchema()