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https://issues.apache.org/jira/browse/SPARK-31741?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-31741:
---------------------------------
Component/s: Tests
> Flaky test: pyspark.sql.dataframe.DataFrame.intersectAll
> --------------------------------------------------------
>
> Key: SPARK-31741
> URL: https://issues.apache.org/jira/browse/SPARK-31741
> Project: Spark
> Issue Type: Test
> Components: PySpark, Tests
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Priority: Major
>
> https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7-hive-2.3/695/console
> https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7-hive-2.3/693/console
> {code}
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/dataframe.py",
> line 1600, in pyspark.sql.dataframe.DataFrame.intersectAll
> Failed example:
> df1.intersectAll(df2).sort("C1", "C2").show()
> Exception raised:
> Traceback (most recent call last):
> File "/usr/lib64/pypy-2.5.1/lib-python/2.7/doctest.py", line 1315, in
> __run
> compileflags, 1) in test.globs
> File "<doctest pyspark.sql.dataframe.DataFrame.intersectAll[2]>", line
> 1, in <module>
> df1.intersectAll(df2).sort("C1", "C2").show()
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/dataframe.py",
> line 1182, in sort
> jdf = self._jdf.sort(self._sort_cols(cols, kwargs))
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/dataframe.py",
> line 1221, in _sort_cols
> return self._jseq(jcols)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/dataframe.py",
> line 1189, in _jseq
> return _to_seq(self.sql_ctx._sc, cols, converter)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/column.py",
> line 69, in _to_seq
> return sc._jvm.PythonUtils.toSeq(cols)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1305, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/pyspark/sql/utils.py",
> line 98, in deco
> return f(*a, **kw)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py",
> line 342, in get_return_value
> return OUTPUT_CONVERTER[type](answer[2:], gateway_client)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 2525, in <lambda>
> lambda target_id, gateway_client: JavaObject(target_id,
> gateway_client))
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py",
> line 1343, in __init__
> ThreadSafeFinalizer.add_finalizer(key, value)
> File
> "/home/jenkins/workspace/spark-master-test-sbt-hadoop-2.7-hive-2.3/python/lib/py4j-0.10.9-src.zip/py4j/finalizer.py",
> line 43, in add_finalizer
> cls.finalizers[id] = weak_ref
> File "/usr/lib64/pypy-2.5.1/lib-python/2.7/threading.py", line 216, in
> __exit__
> self.release()
> File "/usr/lib64/pypy-2.5.1/lib-python/2.7/threading.py", line 204, in
> release
> raise RuntimeError("cannot release un-acquired lock")
> RuntimeError: cannot release un-acquired lock
> **********************************************************************
> 1 of 3 in pyspark.sql.dataframe.DataFrame.intersectAll
> ***Test Failed*** 1 failures.
> {code}
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