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Posted to issues@spark.apache.org by "yangping wu (JIRA)" <ji...@apache.org> on 2015/04/17 11:26:59 UTC
[jira] [Updated] (SPARK-6977) PARSING_ERROR(2) in Spark Streaming
[ https://issues.apache.org/jira/browse/SPARK-6977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
yangping wu updated SPARK-6977:
-------------------------------
Summary: PARSING_ERROR(2) in Spark Streaming (was: PARSING_ERROR(2) using HashPartitioner in Spark Streaming)
> PARSING_ERROR(2) in Spark Streaming
> ------------------------------------
>
> Key: SPARK-6977
> URL: https://issues.apache.org/jira/browse/SPARK-6977
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.3.0
> Reporter: yangping wu
>
> I am using Spark streaming to read data from kafka,Five hours later the job is falied,and I found a log of Exception as follow:
> {code}
> 2015-04-17 16:35:16,797 INFO [Driver] - Final app status: FAILED, exitCode: 15, (reason: User class threw exception: Job aborted due to stage failure: Task 1 in stage 7541923.0 failed 4 times, most recent failure: Lost task 1.3 in stage 7541923.0 (TID 105982, spark-host): java.io.IOException: PARSING_ERROR(2)
> at org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
> at org.xerial.snappy.SnappyNative.uncompressedLength(Native Method)
> at org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594)
> at org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:358)
> at org.xerial.snappy.SnappyInputStream.read(SnappyInputStream.java:387)
> at java.io.ObjectInputStream$PeekInputStream.peek(ObjectInputStream.java:2293)
> at java.io.ObjectInputStream$BlockDataInputStream.peek(ObjectInputStream.java:2586)
> at java.io.ObjectInputStream$BlockDataInputStream.peekByte(ObjectInputStream.java:2596)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1318)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
> at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133)
> at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
> at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:91)
> at org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
> at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> 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:744)
> Driver stacktrace:)
> {code}
> What is the reason, Can someone help me, Think you!
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