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https://issues.apache.org/jira/browse/SPARK-3630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14161900#comment-14161900
]
DB Tsai edited comment on SPARK-3630 at 10/7/14 2:07 PM:
---------------------------------------------------------
We also see similar issue when we perform map -> reduceByKey, and then take(10)
with fairly large dataset (around 600 parquet files) with the spark built
against master on Oct 2.
{noformat}
Job aborted due to stage failure: Task 0 in stage 6.0 failed 4 times, most
recent failure: Lost task 0.3 in stage 6.0 (TID 8312, ams03-002.ff):
java.io.IOException: PARSING_ERROR(2)
org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
org.xerial.snappy.SnappyNative.uncompressedLength(Native Method)
org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594)
org.xerial.snappy.SnappyInputStream.readFully(SnappyInputStream.java:125)
org.xerial.snappy.SnappyInputStream.readHeader(SnappyInputStream.java:88)
org.xerial.snappy.SnappyInputStream.<init>(SnappyInputStream.java:58)
org.apache.spark.io.SnappyCompressionCodec.compressedInputStream(CompressionCodec.scala:128)
org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1004)
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:116)
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:115)
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:243)
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52)
scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:89)
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
org.apache.spark.scheduler.Task.run(Task.scala:56)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
Driver stacktrace:
{noformat}
was (Author: dbtsai):
We also see similar issue when we perform map -> reduceByKey, and then take(10)
with fairly large dataset (around 600 parquet files) with the spark built
against master on Oct 2.
{noformat}
Job aborted due to stage failure: Task 0 in stage 6.0 failed 4 times, most
recent failure: Lost task 0.3 in stage 6.0 (TID 8312, ams03-002.ff.avast.com):
java.io.IOException: PARSING_ERROR(2)
org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84)
org.xerial.snappy.SnappyNative.uncompressedLength(Native Method)
org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594)
org.xerial.snappy.SnappyInputStream.readFully(SnappyInputStream.java:125)
org.xerial.snappy.SnappyInputStream.readHeader(SnappyInputStream.java:88)
org.xerial.snappy.SnappyInputStream.<init>(SnappyInputStream.java:58)
org.apache.spark.io.SnappyCompressionCodec.compressedInputStream(CompressionCodec.scala:128)
org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1004)
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:116)
org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:115)
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:243)
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52)
scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:89)
org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
org.apache.spark.scheduler.Task.run(Task.scala:56)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
Driver stacktrace:
{noformat}
> Identify cause of Kryo+Snappy PARSING_ERROR
> -------------------------------------------
>
> Key: SPARK-3630
> URL: https://issues.apache.org/jira/browse/SPARK-3630
> Project: Spark
> Issue Type: Task
> Components: Spark Core
> Affects Versions: 1.1.0
> Reporter: Andrew Ash
> Assignee: Ankur Dave
>
> A recent GraphX commit caused non-deterministic exceptions in unit tests so
> it was reverted (see SPARK-3400).
> Separately, [~aash] observed the same exception stacktrace in an
> application-specific Kryo registrator:
> {noformat}
> com.esotericsoftware.kryo.KryoException: java.io.IOException: failed to
> uncompress the chunk: PARSING_ERROR(2)
> com.esotericsoftware.kryo.io.Input.fill(Input.java:142)
> com.esotericsoftware.kryo.io.Input.require(Input.java:169)
> com.esotericsoftware.kryo.io.Input.readInt(Input.java:325)
> com.esotericsoftware.kryo.io.Input.readFloat(Input.java:624)
> com.esotericsoftware.kryo.serializers.DefaultSerializers$FloatSerializer.read(DefaultSerializers.java:127)
>
> com.esotericsoftware.kryo.serializers.DefaultSerializers$FloatSerializer.read(DefaultSerializers.java:117)
>
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:109)
>
> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:18)
>
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> ...
> {noformat}
> This ticket is to identify the cause of the exception in the GraphX commit so
> the faulty commit can be fixed and merged back into master.
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