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Posted to issues@flink.apache.org by "Dian Fu (Jira)" <ji...@apache.org> on 2022/01/07 07:19:00 UTC
[jira] [Closed] (FLINK-24962) The root cause of a failed job was hidden in certain cases
[ https://issues.apache.org/jira/browse/FLINK-24962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dian Fu closed FLINK-24962.
---------------------------
Fix Version/s: (was: 1.14.3)
Resolution: Cannot Reproduce
Just close it for now as I cannot reproduce this problem. We can revisit it if it's reproduced.
> The root cause of a failed job was hidden in certain cases
> ----------------------------------------------------------
>
> Key: FLINK-24962
> URL: https://issues.apache.org/jira/browse/FLINK-24962
> Project: Flink
> Issue Type: Improvement
> Components: API / Python
> Affects Versions: 1.14.0
> Reporter: Dian Fu
> Priority: Major
>
> For the following job:
> {code:java}
> from pyflink.common.typeinfo import Types
> from pyflink.datastream import StreamExecutionEnvironment, DataStream
> from pyflink.table import StreamTableEnvironment
> def state_access_demo():
> env = StreamExecutionEnvironment.get_execution_environment()
> t_env = StreamTableEnvironment.create(stream_execution_environment=env)
> sql = """CREATE TABLE kafka_source (
> id int,
> name string
> ) WITH (
> 'connector' = 'kafka',
> 'topic' = 'test',
> 'properties.bootstrap.servers' = '***',
> 'properties.group.id' = '***',
> 'scan.startup.mode' = 'latest-offset',
> 'format' = 'json',
> 'json.fail-on-missing-field' = 'false',
> 'json.ignore-parse-errors' = 'true'
> )"""
> t_env.execute_sql(sql)
> table = t_env.from_path("kafka_source")
> ds: DataStream = t_env.to_append_stream(table, type_info=Types.ROW([Types.INT(), Types.STRING()]))
> ds.map(lambda a: print(a))
> env.execute('state_access_demo')
> if __name__ == '__main__':
> state_access_demo()
> {code}
> It failed with the following exception which doesn't contain any useful information (the root cause is that it should return a value in the map function):
> {code:java}
> Caused by: java.lang.RuntimeException: Failed to create stage bundle factory! INFO:root:Initializing Python harness: D:\soft\anaconda\lib\site-packages\pyflink\fn_execution\beam\beam_boot.py --id=2-1 --provision_endpoint=localhost:57201
> INFO:root:Starting up Python harness in loopback mode.
> at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.createStageBundleFactory(BeamPythonFunctionRunner.java:566)
> at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.open(BeamPythonFunctionRunner.java:255)
> at org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.open(AbstractPythonFunctionOperator.java:131)
> at org.apache.flink.streaming.api.operators.python.AbstractOneInputPythonFunctionOperator.open(AbstractOneInputPythonFunctionOperator.java:116)
> at org.apache.flink.streaming.api.operators.python.PythonProcessOperator.open(PythonProcessOperator.java:59)
> at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.initializeStateAndOpenOperators(RegularOperatorChain.java:110)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:711)
> at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.call(StreamTaskActionExecutor.java:55)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreInternal(StreamTask.java:687)
> at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:654)
> at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
> at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:927)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.UncheckedExecutionException: java.lang.IllegalStateException: Process died with exit code 0
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2050)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4964)
> at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:451)
> at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:436)
> at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory.forStage(DefaultJobBundleFactory.java:303)
> at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.createStageBundleFactory(BeamPythonFunctionRunner.java:564)
> ... 14 more
> Caused by: java.lang.IllegalStateException: Process died with exit code 0
> at org.apache.beam.runners.fnexecution.environment.ProcessManager$RunningProcess.isAliveOrThrow(ProcessManager.java:75)
> at org.apache.beam.runners.fnexecution.environment.ProcessEnvironmentFactory.createEnvironment(ProcessEnvironmentFactory.java:112)
> at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:252)
> at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:231)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3528)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2277)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
> at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
> {code}
> It's very difficult for users to figure out why the job failed and we should improve this.
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