Jungtaek Lim created SPARK-29135:
------------------------------------
Summary: Flaky Test:
o.a.s.streaming.StreamingContextSuite.SPARK-18560 Receiver data should be
deserialized properly
Key: SPARK-29135
URL: https://issues.apache.org/jira/browse/SPARK-29135
Project: Spark
Issue Type: Bug
Components: DStreams, Tests
Affects Versions: 3.0.0
Reporter: Jungtaek Lim
[https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/110735/testReport/]
{code:java}
org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in
stage 85.0 failed 4 times, most recent failure: Lost task 2.3 in stage 85.0
(TID 205, amp-jenkins-worker-04.amp, executor 0): java.lang.Exception: Could
not compute split, block input-0-1568696121600 of RDD 250 not found at
org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:50) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:291) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:291) at
org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:291) at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:94)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:127) at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:449)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:452) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) Driver stacktrace: Stack
Tracesbt.ForkMain$ForkError: org.apache.spark.SparkException: Job aborted due
to stage failure: Task 2 in stage 85.0 failed 4 times, most recent failure:
Lost task 2.3 in stage 85.0 (TID 205, amp-jenkins-worker-04.amp, executor 0):
java.lang.Exception: Could not compute split, block input-0-1568696121600 of
RDD 250 not found
at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:50)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:94)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:449)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:452)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:1958)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1946)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1945)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1945)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:945)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:945)
at scala.Option.foreach(Option.scala:274)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:945)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2175)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2124)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2113)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:747)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2079)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2119)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2144)
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:982)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:366)
at org.apache.spark.rdd.RDD.collect(RDD.scala:981)
at
org.apache.spark.streaming.StreamingContextSuite.$anonfun$new$133(StreamingContextSuite.scala:841)
at
org.apache.spark.streaming.StreamingContextSuite.$anonfun$new$133$adapted(StreamingContextSuite.scala:839)
at
org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:628)
at
org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:628)
at
org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.Try$.apply(Try.scala:213)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: sbt.ForkMain$ForkError: java.lang.Exception: Could not compute
split, block input-0-1568696121600 of RDD 250 not found
at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:50)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:291)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:94)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:449)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:452)
... 3 more {code}
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