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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2019/05/07 21:50:00 UTC
[jira] [Resolved] (SPARK-27548) PySpark toLocalIterator does not
raise errors from worker
[ https://issues.apache.org/jira/browse/SPARK-27548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bryan Cutler resolved SPARK-27548.
----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24070
[https://github.com/apache/spark/pull/24070]
> PySpark toLocalIterator does not raise errors from worker
> ---------------------------------------------------------
>
> Key: SPARK-27548
> URL: https://issues.apache.org/jira/browse/SPARK-27548
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.1
> Reporter: Bryan Cutler
> Assignee: Bryan Cutler
> Priority: Major
> Fix For: 3.0.0
>
>
> When using a PySpark RDD local iterator and an error occurs on the worker, it is not picked up by Py4J and raised in the Python driver process. So unless looking at logs, there is no way for the application to know the worker had an error. This is a test that should pass if the error is raised in the driver:
> {code}
> def test_to_local_iterator_error(self):
> def fail(_):
> raise RuntimeError("local iterator error")
> rdd = self.sc.parallelize(range(10)).map(fail)
> with self.assertRaisesRegexp(Exception, "local iterator error"):
> for _ in rdd.toLocalIterator():
> pass{code}
> but it does not raise an exception:
> {noformat}
> Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
> File "/home/bryan/git/spark/python/lib/pyspark.zip/pyspark/worker.py", line 428, in main
> process()
> File "/home/bryan/git/spark/python/lib/pyspark.zip/pyspark/worker.py", line 423, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File "/home/bryan/git/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 505, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "/home/bryan/git/spark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
> return f(*args, **kwargs)
> File "/home/bryan/git/spark/python/pyspark/tests/test_rdd.py", line 742, in fail
> raise RuntimeError("local iterator error")
> RuntimeError: local iterator error
> at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:453)
> ...
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> FAIL
> ======================================================================
> FAIL: test_to_local_iterator_error (pyspark.tests.test_rdd.RDDTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/home/bryan/git/spark/python/pyspark/tests/test_rdd.py", line 748, in test_to_local_iterator_error
> pass
> AssertionError: Exception not raised{noformat}
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