[FLINK-17946] The config option "pipeline.jars" doesn't work if the job was executed via TableEnvironment.execute_sql and StatementSet.execute

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.11.0
• Fix Version/s: 1.11.0
• Component/s: API / Python
• Labels: pull-request-available
• Assignee: Wei Zhong
• Reporter: Dian Fu
• Created: 26/May/20 14:42
• Updated: 29/May/20 09:53
• Resolved: 29/May/20 09:53

Description

For the following job:

import logging
import sys
import tempfile

from pyflink.table import BatchTableEnvironment, EnvironmentSettings


def word_count():
    content = "line Licensed to the Apache Software Foundation ASF under one " \
              "line or more contributor license agreements See the NOTICE file " \
              "line distributed with this work for additional information " \
              "line regarding copyright ownership The ASF licenses this file " \
              "to you under the Apache License Version the " \
              "License you may not use this file except in compliance " \
              "with the License"

    environment_settings = EnvironmentSettings.new_instance().in_batch_mode().\
        use_blink_planner().build()
    t_env = BatchTableEnvironment.create(environment_settings=environment_settings)
    t_env.get_config().get_configuration().set_string(
        "pipeline.jars",
        "file:///Users/dianfu/workspace/wordcount_python/flink-csv-1.11.0-sql-jar.jar")

    # register Results table in table environment
    tmp_dir = tempfile.gettempdir()
    result_path = tmp_dir + '/result'

    logging.info("Results directory: %s", result_path)

    sink_ddl = """
        create table Results(
            word VARCHAR,
            `count` BIGINT
        ) with (
            'connector' = 'filesystem',
            'format' = 'csv',
            'path' = '{}'
        )
        """.format(result_path)
    t_env.execute_sql(sink_ddl)

    elements = [(word, 1) for word in content.split(" ")]
    table = t_env.from_elements(elements, ["word", "count"]) \
        .group_by("word") \
        .select("word, count(1) as count")

    statement_set = t_env.create_statement_set()
    statement_set.add_insert("Results", table, overwrite=True)
    statement_set.execute()


if __name__ == '__main__':
    logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")

    word_count()

It will throw exceptions as following:

Caused by: java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.flink.table.filesystem.FileSystemOutputFormat.formatFactory of type org.apache.flink.table.filesystem.OutputFormatFactory in instance of org.apache.flink.table.filesystem.FileSystemOutputFormat
	at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
	at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2237)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
	at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
	at java.util.HashMap.readObject(HashMap.java:1404)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1058)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2122)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
	at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
	at org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:576)
	at org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:562)
	at org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:550)
	at org.apache.flink.util.InstantiationUtil.readObjectFromConfig(InstantiationUtil.java:511)
	at org.apache.flink.runtime.operators.util.TaskConfig.getStubWrapper(TaskConfig.java:288)
	at org.apache.flink.runtime.jobgraph.InputOutputFormatContainer.<init>(InputOutputFormatContainer.java:66)
	... 23 more

The reason is that the "pipeline.jars" option is not handled properly in StatementSet.execute and so it cannot find the jar specified via "pipeline.jars". This issue also exists in TableEnvironment.execute_sql

Issue Links

• links to: GitHub Pull Request #12372