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Posted to dev@flink.apache.org by "Dian Fu (Jira)" <ji...@apache.org> on 2020/05/26 14:43:00 UTC
[jira] [Created] (FLINK-17946) The config option "pipeline.jars"
doesn't work if the job was executed via TableEnvironment.execute_sql and
StatementSet.execute
Dian Fu created FLINK-17946:
-------------------------------
Summary: 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
Reporter: Dian Fu
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 this issue also exists in TableEnvironment.execute_sql
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