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From Akhilesh Pathodia <pathodia.akhil...@gmail.com>
Subject Failed to get broadcast_1_piece0 of broadcast_1
Date Mon, 04 Apr 2016 13:07:00 GMT
Hi,

I am running spark jobs on yarn in cluster mode. The job get the messages
from kafka direct stream. I am using broadcast variables and checkpointing
every 30 seconds. When I start the job first time it runs fine without any
issue. If I kill the job and restart it throws below exception in executor
upon receiving a message from kafka:

java.io.IOException: org.apache.spark.SparkException: Failed to get
broadcast_1_piece0 of broadcast_1
	at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1178)
	at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
	at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
	at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
	at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
	at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
	at net.juniper.spark.stream.LogDataStreamProcessor$2.call(LogDataStreamProcessor.java:177)
	at net.juniper.spark.stream.LogDataStreamProcessor$2.call(LogDataStreamProcessor.java:1)
	at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:172)
	at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:172)
	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
	at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
	at scala.collection.AbstractIterator.to(Iterator.scala:1157)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
	at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1298)
	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1298)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:88)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	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:745)

Does anyone have idea how to resolve this error?

Spark version: 1.5.0
CDH 5.5.1

Thanks,
AKhilesh

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