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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2016/09/01 21:15:20 UTC
[jira] [Resolved] (SPARK-11138) Flaky pyspark test:
test_add_py_file
[ https://issues.apache.org/jira/browse/SPARK-11138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-11138.
------------------------------------
Resolution: Cannot Reproduce
Haven't seen this in a long while, let's close it for now.
> Flaky pyspark test: test_add_py_file
> ------------------------------------
>
> Key: SPARK-11138
> URL: https://issues.apache.org/jira/browse/SPARK-11138
> Project: Spark
> Issue Type: Bug
> Components: Tests
> Affects Versions: 1.6.0
> Reporter: Marcelo Vanzin
> Labels: flaky-test
>
> This test fails pretty often when running PR tests. For example:
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/43800/console
> {noformat}
> ======================================================================
> ERROR: test_add_py_file (__main__.AddFileTests)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/tests.py", line 396, in test_add_py_file
> res = self.sc.parallelize(range(2)).map(func).first()
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 1315, in first
> rs = self.take(1)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 1297, in take
> res = self.context.runJob(self, takeUpToNumLeft, p)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/context.py", line 923, in runJob
> port = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
> self.target_id, self.name)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
> format(target_id, '.', name), value)
> Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 3.0 failed 1 times, most recent failure: Lost task 2.0 in stage 3.0 (TID 7, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
> process()
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft
> yield next(iterator)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/tests.py", line 388, in func
> from userlibrary import UserClass
> ImportError: cannot import name UserClass
> at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
> at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
> at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1427)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1415)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1414)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1414)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:793)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:793)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:793)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1639)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1598)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1587)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:614)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1830)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1843)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1856)
> at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:393)
> at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main
> process()
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft
> yield next(iterator)
> File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/tests.py", line 388, in func
> from userlibrary import UserClass
> ImportError: cannot import name UserClass
> at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
> at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
> at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> ... 1 more
> ----------------------------------------------------------------------
> {noformat}
> /cc [~davies] in case you have some ideas.
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