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