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https://issues.apache.org/jira/browse/FLINK-17946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dian Fu updated FLINK-17946:
----------------------------
Affects Version/s: 1.11.0
> The config option "pipeline.jars" doesn't work if the job was executed via
> TableEnvironment.execute_sql and StatementSet.execute
> --------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-17946
> URL: https://issues.apache.org/jira/browse/FLINK-17946
> Project: Flink
> Issue Type: Bug
> Components: API / Python
> Affects Versions: 1.11.0
> Reporter: Dian Fu
> Priority: Major
> Fix For: 1.11.0
>
>
> For the following job:
> {code}
> 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()
> {code}
> It will throw exceptions as following:
> {code}
> 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
> {code}
> 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
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