Description
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/110735/testReport/
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