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From "holdenk (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-11138) Flaky pyspark test: test_add_py_file
Date Fri, 30 Oct 2015 08:16:27 GMT

    [ https://issues.apache.org/jira/browse/SPARK-11138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14982103#comment-14982103
] 

holdenk commented on SPARK-11138:
---------------------------------

So with a non logged in view I don't see it on https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/43800/
(for example), I remember there being build artifacts at one point - but I'm not sure if they
aren't public anymore or I just don't remember where to look for them.

> 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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