Hi Team,
I am encountering the below error while running a spark job.here i am
mentioning spark submit command for reference. I request you to suggest me
to avoid the below error and to let the program to run with out errors.
CDH version: 5.6.0
Spark version: 1.5.0
spark-submit --deploy-mode client --master yarn --executor-memory 35G
--num-executors 24 --executor-cores 4 --driver-memory 5g
An error occurred while calling o57.sql.
: org.apache.spark.SparkException: Job aborted due to stage failure:
ShuffleMapStage 11 (sql at NativeMethodAccessorImpl.java:-2) has failed the
maximum allowable number of times: 4. Most recent failure reason:
org.apache.spark.shuffle.FetchFailedException: Adjusted frame length
exceeds 2147483647: 2222367317 - discarded
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:321)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:306)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:51)
at
scala.collection.Iterator18663anon1.next(Iterator.scala:328)
at
scala.collection.Iterator18663anon3.hasNext(Iterator.scala:371)
at
scala.collection.Iterator18663anon1.hasNext(Iterator.scala:327)
at
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at
scala.collection.Iterator18663anon1.hasNext(Iterator.scala:327)
at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:173)
at
org.apache.spark.sql.execution.TungstenSort.org18663executePartition(sort.scala:160)
at
org.apache.spark.sql.execution.TungstenSort18663anonfun.apply(sort.scala:169)
at
org.apache.spark.sql.execution.TungstenSort18663anonfun.apply(sort.scala:169)
at
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:99)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
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:88)
at
org.apache.spark.executor.Executor.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: io.netty.handler.codec.TooLongFrameException: Adjusted frame
length exceeds 2147483647: 2222367317 - discarded
at
io.netty.handler.codec.LengthFieldBasedFrameDecoder.fail(LengthFieldBasedFrameDecoder.java:499)
at
io.netty.handler.codec.LengthFieldBasedFrameDecoder.failIfNecessary(LengthFieldBasedFrameDecoder.java:477)
at
io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:403)
at
io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:343)
at
io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:327)
at
io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:230)
at
io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at
io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at
io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:846)
--
Thanks&Regards
K.Trinadh
Ph-7348826118
