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Posted to issues@spark.apache.org by "Yang Jie (Jira)" <ji...@apache.org> on 2023/08/16 06:33:00 UTC

[jira] [Commented] (SPARK-44825) flaky pyspark tests

    [ https://issues.apache.org/jira/browse/SPARK-44825?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17754894#comment-17754894 ] 

Yang Jie commented on SPARK-44825:
----------------------------------

[https://github.com/apache/spark/pull/42385#issuecomment-1678266553]  Yesterday, I reported a similar failure(retry passed).
 
but I encountered this failure again today, so make a ticket to document this. cc [~ueshin] 

> flaky pyspark tests
> -------------------
>
>                 Key: SPARK-44825
>                 URL: https://issues.apache.org/jira/browse/SPARK-44825
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 4.0.0
>            Reporter: Yang Jie
>            Priority: Major
>
> [https://github.com/apache/spark/actions/runs/5872185188/job/15923301107]
>  
> {code:java}
>   test_vectorized_udf_exception (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... malloc(): unsorted double linked list corrupted
> ----------------------------------------
> Exception occurred during processing of request from ('127.0.0.1', 56342)
> Traceback (most recent call last):
>   File "/usr/lib/python3.9/socketserver.py", line 316, in _handle_request_noblock
>     self.process_request(request, client_address)
>   File "/usr/lib/python3.9/socketserver.py", line 347, in process_request
>     self.finish_request(request, client_address)
>   File "/usr/lib/python3.9/socketserver.py", line 360, in finish_request
>     self.RequestHandlerClass(request, client_address, self)
>   File "/usr/lib/python3.9/socketserver.py", line 747, in __init__
>     self.handle()
>   File "/__w/spark/spark/python/pyspark/accumulators.py", line 295, in handle
>     poll(accum_updates)
>   File "/__w/spark/spark/python/pyspark/accumulators.py", line 267, in poll
>     if self.rfile in r and func():
>   File "/__w/spark/spark/python/pyspark/accumulators.py", line 271, in accum_updates
>     num_updates = read_int(self.rfile)
>   File "/__w/spark/spark/python/pyspark/serializers.py", line 596, in read_int
>     raise EOFError
> EOFError
> ----------------------------------------
> ERROR:root:Exception while sending command.
> Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/errors/exceptions/captured.py", line 179, in deco
>     return f(*a, **kw)
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 326, in get_return_value
>     raise Py4JJavaError(
> py4j.protocol.Py4JJavaError: <unprintable Py4JJavaError object>During handling of the above exception, another exception occurred:Traceback (most recent call last):
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 516, in send_command
>     raise Py4JNetworkError("Answer from Java side is empty")
> py4j.protocol.Py4JNetworkError: Answer from Java side is emptyDuring handling of the above exception, another exception occurred:Traceback (most recent call last):
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1038, in send_command
>     response = connection.send_command(command)
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 539, in send_command
>     raise Py4JNetworkError(
> py4j.protocol.Py4JNetworkError: Error while sending or receiving
> ERROR (0.529s)
>   test_vectorized_udf_invalid_length (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_map_type (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.002s)
>   test_vectorized_udf_nested_struct (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_array (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_binary (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_boolean (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_byte (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_decimal (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_double (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_float (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_int (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_long (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_short (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_null_string (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_return_scalar (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.000s)
>   test_vectorized_udf_return_timestamp_tz (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_string_in_udf (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_struct_complex (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_struct_empty (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_struct_type (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.002s)
>   test_vectorized_udf_struct_with_empty_partition (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_timestamps (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.003s)
>   test_vectorized_udf_timestamps_respect_session_timezone (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.002s)
>   test_vectorized_udf_varargs (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.001s)
>   test_vectorized_udf_wrong_return_type (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests) ... ERROR (0.000s)======================================================================
> ERROR [0.529s]: test_vectorized_udf_exception (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/errors/exceptions/captured.py", line 179, in deco
>     return f(*a, **kw)
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 326, in get_return_value
>     raise Py4JJavaError(
> py4j.protocol.Py4JJavaError: <unprintable Py4JJavaError object>During handling of the above exception, another exception occurred:Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/sql/dataframe.py", line 1230, in collect
>     sock_info = self._jdf.collectToPython()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
>     return_value = get_return_value(
>   File "/__w/spark/spark/python/pyspark/errors/exceptions/captured.py", line 181, in deco
>     converted = convert_exception(e.java_exception)
>   File "/__w/spark/spark/python/pyspark/errors/exceptions/captured.py", line 129, in convert_exception
>     if is_instance_of(gw, e, "org.apache.spark.sql.catalyst.parser.ParseException"):
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 464, in is_instance_of
>     return gateway.jvm.py4j.reflection.TypeUtil.isInstanceOf(
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1725, in __getattr__
>     raise Py4JError(message)
> py4j.protocol.Py4JError: py4j does not exist in the JVMDuring handling of the above exception, another exception occurred:ConnectionRefusedError: [Errno 111] Connection refusedDuring handling of the above exception, another exception occurred:Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py", line 646, in test_vectorized_udf_exception
>     self.check_vectorized_udf_exception()
>   File "/__w/spark/spark/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py", line 659, in check_vectorized_udf_exception
>     df.select(raise_exception(col("id"))).collect()
>   File "/usr/lib/python3.9/unittest/case.py", line 239, in __exit__
>     self._raiseFailure('"{}" does not match "{}"'.format(
>   File "/usr/lib/python3.9/unittest/case.py", line 163, in _raiseFailure
>     raise self.test_case.failureException(msg)
> AssertionError: "division( or modulo)? by zero" does not match "[Errno 111] Connection refused"    numPartitions = self._sc.defaultParallelism
>   File "/__w/spark/spark/python/pyspark/context.py", line 630, in defaultParallelism
>     return self._jsc.sc().defaultParallelism()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1321, in __call__
>     answer = self.gateway_client.send_command(command)
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1036, in send_command
>     connection = self._get_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 284, in _get_connection
>     connection = self._create_new_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 291, in _create_new_connection
>     connection.connect_to_java_server()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 438, in connect_to_java_server
>     self.socket.connect((self.java_address, self.java_port))
> ConnectionRefusedError: [Errno 111] Connection refused======================================================================
> ERROR [0.000s]: test_vectorized_udf_wrong_return_type (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py", line 737, in test_vectorized_udf_wrong_return_type
>     with QuietTest(self.sc):
>   File "/__w/spark/spark/python/pyspark/testing/utils.py", line 119, in __init__
>     self.log4j = sc._jvm.org.apache.log4j
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1712, in __getattr__
>     answer = self._gateway_client.send_command(
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1036, in send_command
>     connection = self._get_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 284, in _get_connection
>     connection = self._create_new_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 291, in _create_new_connection
>     connection.connect_to_java_server()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 438, in connect_to_java_server
>     self.socket.connect((self.java_address, self.java_port))
> ConnectionRefusedError: [Errno 111] Connection refused======================================================================
> ERROR [0.000s]: tearDownClass (pyspark.sql.tests.pandas.test_pandas_udf_scalar.ScalarPandasUDFTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "/__w/spark/spark/python/pyspark/sql/tests/pandas/test_pandas_udf_scalar.py", line 1491, in tearDownClass
>     ReusedSQLTestCase.tearDownClass()
>   File "/__w/spark/spark/python/pyspark/testing/sqlutils.py", line 269, in tearDownClass
>     super(ReusedSQLTestCase, cls).tearDownClass()
>   File "/__w/spark/spark/python/pyspark/testing/utils.py", line 154, in tearDownClass
>     cls.sc.stop()
>   File "/__w/spark/spark/python/pyspark/context.py", line 654, in stop
>     self._jsc.stop()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1321, in __call__
>     answer = self.gateway_client.send_command(command)
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1036, in send_command
>     connection = self._get_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 284, in _get_connection
>     connection = self._create_new_connection()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 291, in _create_new_connection
>     connection.connect_to_java_server()
>   File "/__w/spark/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/clientserver.py", line 438, in connect_to_java_server
>     self.socket.connect((self.java_address, self.java_port))
> ConnectionRefusedError: [Errno 111] Connection refused----------------------------------------------------------------------
> Ran 56 tests in 65.816sFAILED (errors=27, skipped=1) {code}
>  



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