I'm trying to do a relatively large join (0.5TB shuffle read/write) and just
calling a count (or show) on the dataframe fails to complete, getting to the
last task before failing:

Py4JJavaError: An error occurred while calling o133.count.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 5
in stage 11.0 failed 4 times, most recent failure: Lost task 5.3 in stage
11.0 (TID 7836, xxxx.com): java.io.IOException: failed to uncompress the
chunk: PARSING_ERROR(2)

(full stack trace below)

I'm not sure why this would happen, any ideas about whether our
configuration is off or how to fix this?

Nicolas



Py4JJavaError: An error occurred while calling o133.count.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 5
in stage 11.0 failed 4 times, most recent failure: Lost task 5.3 in stage
11.0 (TID 7836, xxxx.com): java.io.IOException: failed to uncompress the
chunk: PARSING_ERROR(2)
        at
org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:361)
        at 
org.xerial.snappy.SnappyInputStream.rawRead(SnappyInputStream.java:158)
        at org.xerial.snappy.SnappyInputStream.read(SnappyInputStream.java:142)
        at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
        at java.io.BufferedInputStream.read1(BufferedInputStream.java:286)
        at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
        at java.io.DataInputStream.read(DataInputStream.java:149)
        at org.spark-project.guava.io.ByteStreams.read(ByteStreams.java:899)
        at 
org.spark-project.guava.io.ByteStreams.readFully(ByteStreams.java:733)
        at
org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:119)
        at
org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:102)
        at scala.collection.Iterator$$anon$12.next(Iterator.scala:397)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at
org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
        at
org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:168)
        at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:90)
        at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:64)
        at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
        at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:96)
        at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:95)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:396)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:369)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:369)
        at
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:163)
        at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
        at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
        at scala.Option.foreach(Option.scala:257)
        at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
        at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
        at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
        at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at 
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
        at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
        at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
        at
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:166)
        at
org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
        at
org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
        at
org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
        at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
        at 
org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
        at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
        at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1505)
        at
org.apache.spark.sql.DataFrame$$anonfun$count$1.apply(DataFrame.scala:1515)
        at
org.apache.spark.sql.DataFrame$$anonfun$count$1.apply(DataFrame.scala:1514)
        at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
        at org.apache.spark.sql.DataFrame.count(DataFrame.scala:1514)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
        at py4j.Gateway.invoke(Gateway.java:259)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:209)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: failed to uncompress the chunk:
PARSING_ERROR(2)
        at
org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:361)
        at 
org.xerial.snappy.SnappyInputStream.rawRead(SnappyInputStream.java:158)
        at org.xerial.snappy.SnappyInputStream.read(SnappyInputStream.java:142)
        at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
        at java.io.BufferedInputStream.read1(BufferedInputStream.java:286)
        at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
        at java.io.DataInputStream.read(DataInputStream.java:149)
        at org.spark-project.guava.io.ByteStreams.read(ByteStreams.java:899)
        at 
org.spark-project.guava.io.ByteStreams.readFully(ByteStreams.java:733)
        at
org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:119)
        at
org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:102)
        at scala.collection.Iterator$$anon$12.next(Iterator.scala:397)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at
org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
        at
org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:168)
        at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:90)
        at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:64)
        at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
        at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:96)
        at
org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:95)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:396)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:369)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:369)
        at
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:163)
        at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        ... 1 more



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