Re: Re: Spark program thows OutOfMemoryError
Hi, Andre, thanks a lot for you reply, but i still get the same exception, the
complete exception message is as below：
Exception in thread main org.apache.spark.SparkException: Job aborted: Task
1.0:9 failed 4 times (most recent failure: Exception failure:
java.lang.OutOfMemoryError: Java heap space)at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1018)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at scala.Option.foreach(Option.scala:236) at
org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604) at
org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:190)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at
akka.actor.ActorCell.invoke(ActorCell.scala:456) at
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at
akka.dispatch.Mailbox.run(Mailbox.scala:219) at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
according to your hints，i add SPARK_DRIVER_MEMORY to my spark-env.sh： export
SPARK_MASTER_IP=192.168.2.184 export SPARK_MASTER_PORT=7077 export
SPARK_LOCAL_IP=192.168.2.183 export SPARK_DRIVER_MEMORY=10G export
SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
and i modified my code, now i do not call method collect any more, here is my
code: def main(args: Array[String]) {
val sc = new SparkContext(spark://192.168.2.184:7077, Score Calcu
Total, /usr/local/spark-0.9.1-bin-hadoop2, Seq(/home/deployer/myjar.jar))
val mongoRDD = sc.textFile(/home/deployer/uris.dat, 200)
val jsonRDD = mongoRDD.map(arg = new JSONObject(arg))
val newRDD = jsonRDD.map(arg = { var score = 0.5
arg.put(score, score) arg })
val resourceScoresRDD = newRDD.map(arg = (arg.get(rid).toString.toLong,
(arg.get(zid).toString,
arg.get(score).asInstanceOf[Number].doubleValue))).groupByKey()
val simRDD = resourceScoresRDD.cartesian(resourceScoresRDD).filter(arg =
arg._1._1 arg._2._1).map(arg = (arg._1._1, arg._2._1, 0.8))
simRDD.saveAsTextFile(/home/deployer/sim)}
I ran the program through java -jar myjar.jar, it crashed quickly, but it
succeed when the size of the data file is small.
Thanks for your help!
qinwei
From: Andre Bois-Crettez [via Apache Spark User List]Date: 2014-04-16 17:50To:
Qin WeiSubject: Re: Spark program thows OutOfMemoryError
Seem you have not enough memory on the spark driver. Hints below :
On 2014-04-15 12:10, Qin Wei wrote:
val resourcesRDD = jsonRDD.map(arg =
arg.get(rid).toString.toLong).distinct
// the program crashes at this line of code
val bcResources = sc.broadcast(resourcesRDD.collect.toList)
what is returned by resources.RDD.count() ?
The data file “/home/deployer/uris.dat” is 2G with lines like this : {
id : 1, a : { 0 : 1 }, rid : 5487628, zid : 10550869 }
And here is my spark-env.sh
export SCALA_HOME=/usr/local/scala-2.10.3
export SPARK_MASTER_IP=192.168.2.184
export SPARK_MASTER_PORT=7077
export SPARK_LOCAL_IP=192.168.2.182
export SPARK_WORKER_MEMORY=20g
export SPARK_MEM=10g
export SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
-XX:-UseGCOverheadLimit
/try setting SPARK_DRIVER_MEMORY to a bigger value, as default 512m is
probably too small for the resourcesRDD.collect()/
By the way, are you really sure you need to collect all that ?
/André Bois-Crettez
Software Architect
Big Data Developer
http://www.kelkoo.com/
/
Kelkoo SAS
Société par Actions Simplifiée
Au capital de € 4.168.964,30
Siège social : 8, rue du Sentier 75002 Paris
425 093 069 RCS Paris
Ce message et les pièces jointes sont confidentiels et établis à l'attention
exclusive de leurs destinataires. Si vous n'êtes pas le destinataire de ce
message, merci de le détruire et d'en avertir l'expéditeur
Re: Spark program thows OutOfMemoryError
how many tasks are there in your job?
发自我的 iPhone
在 2014-4-17，16:24，Qin Wei wei@dewmobile.net 写道：
Hi, Andre, thanks a lot for you reply, but i still get the same exception,
the complete exception message is as below：
Exception in thread main org.apache.spark.SparkException: Job aborted: Task
1.0:9 failed 4 times (most recent failure: Exception failure:
java.lang.OutOfMemoryError: Java heap space)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1018)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:190)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
according to your hints，i add SPARK_DRIVER_MEMORY to my spark-env.sh：
export SPARK_MASTER_IP=192.168.2.184
export SPARK_MASTER_PORT=7077
export SPARK_LOCAL_IP=192.168.2.183
export SPARK_DRIVER_MEMORY=10G
export SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
and i modified my code, now i do not call method collect any more, here is my
code:
def main(args: Array[String]) {
val sc = new SparkContext(spark://192.168.2.184:7077, Score Calcu
Total, /usr/local/spark-0.9.1-bin-hadoop2,
Seq(/home/deployer/myjar.jar))
val mongoRDD = sc.textFile(/home/deployer/uris.dat, 200)
val jsonRDD = mongoRDD.map(arg = new JSONObject(arg))
val newRDD = jsonRDD.map(arg = {
var score = 0.5
arg.put(score, score)
arg
})
val resourceScoresRDD = newRDD.map(arg =
(arg.get(rid).toString.toLong, (arg.get(zid).toString,
arg.get(score).asInstanceOf[Number].doubleValue))).groupByKey()
val simRDD = resourceScoresRDD.cartesian(resourceScoresRDD).filter(arg =
arg._1._1 arg._2._1).map(arg = (arg._1._1, arg._2._1, 0.8))
simRDD.saveAsTextFile(/home/deployer/sim)
}
I ran the program through java -jar myjar.jar, it crashed quickly, but it
succeed when the size of the data file is small.
Thanks for your help!
qinwei
From: [hidden email]
Date: 2014-04-16 17:50
To: [hidden email]
Subject: Re: Spark program thows OutOfMemoryError
Seem you have not enough memory on the spark driver. Hints below :
On 2014-04-15 12:10, Qin Wei wrote:
val resourcesRDD = jsonRDD.map(arg =
arg.get(rid).toString.toLong).distinct
// the program crashes at this line of code
val bcResources = sc.broadcast(resourcesRDD.collect.toList)
what is returned by resources.RDD.count() ?
The data file “/home/deployer/uris.dat” is 2G with lines like this : {
id : 1, a : { 0 : 1 }, rid : 5487628, zid : 10550869 }
And here is my spark-env.sh
export SCALA_HOME=/usr/local/scala-2.10.3
export SPARK_MASTER_IP=192.168.2.184
export SPARK_MASTER_PORT=7077
export SPARK_LOCAL_IP=192.168.2.182
export SPARK_WORKER_MEMORY=20g
export SPARK_MEM=10g
export SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
-XX:-UseGCOverheadLimit
/try setting SPARK_DRIVER_MEMORY to a bigger value, as default 512m is
probably too small for the resourcesRDD.collect()/
By the way, are you really sure you need to collect all that ?
/André Bois-Crettez
Software Architect
Big Data Developer
http://www.kelkoo.com/
/
Kelkoo SAS
Société par Actions Simplifiée
Au capital de � 4.168.964,30
Siège social : 8, rue du Sentier 75002 Paris
425 093 069 RCS Paris
Ce message et les pièces
Re: Spark program thows OutOfMemoryError
Seem you have not enough memory on the spark driver. Hints below :
On 2014-04-15 12:10, Qin Wei wrote:
val resourcesRDD = jsonRDD.map(arg =
arg.get(rid).toString.toLong).distinct
// the program crashes at this line of code
val bcResources = sc.broadcast(resourcesRDD.collect.toList)
what is returned by resources.RDD.count() ?
The data file “/home/deployer/uris.dat” is 2G with lines like this : {
id : 1, a : { 0 : 1 }, rid : 5487628, zid : 10550869 }
And here is my spark-env.sh
export SCALA_HOME=/usr/local/scala-2.10.3
export SPARK_MASTER_IP=192.168.2.184
export SPARK_MASTER_PORT=7077
export SPARK_LOCAL_IP=192.168.2.182
export SPARK_WORKER_MEMORY=20g
export SPARK_MEM=10g
export SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
-XX:-UseGCOverheadLimit
/try setting SPARK_DRIVER_MEMORY to a bigger value, as default 512m is
probably too small for the resourcesRDD.collect()/
By the way, are you really sure you need to collect all that ?
/André Bois-Crettez
Software Architect
Big Data Developer
http://www.kelkoo.com/
/
Kelkoo SAS
Société par Actions Simplifiée
Au capital de € 4.168.964,30
Siège social : 8, rue du Sentier 75002 Paris
425 093 069 RCS Paris
Ce message et les pièces jointes sont confidentiels et établis à l'attention
exclusive de leurs destinataires. Si vous n'êtes pas le destinataire de ce
message, merci de le détruire et d'en avertir l'expéditeur.
Spark program thows OutOfMemoryError
Hi, all
My spark program always gives me the error java.lang.OutOfMemoryError: Java
heap space in my standalone cluster, here is my code:
object SimCalcuTotal {
def main(args: Array[String]) {
val sc = new SparkContext(spark://192.168.2.184:7077, Sim Calcu
Total, /usr/local/spark-0.9.0-incubating-bin-hadoop2,
Seq(/home/deployer/score-calcu-assembly-1.0.jar))
// val sc = new SparkContext(local, Score Calcu Total)
val mongoRDD = sc.textFile(/home/deployer/uris.dat, 200)
val jsonRDD = mongoRDD.map(arg = new JSONObject(arg))
val newRDD = jsonRDD.map(arg = {
// 0.5 for test
var score = 0.5
arg.put(score, score)
arg
})
val resourcesRDD = jsonRDD.map(arg =
arg.get(rid).toString.toLong).distinct
// the program crashes at this line of code
val bcResources = sc.broadcast(resourcesRDD.collect.toList)
val resourceScoresRDD = newRDD.map(arg =
(arg.get(rid).toString.toLong, (arg.get(zid).toString,
arg.get(score).asInstanceOf[Number].doubleValue))).groupByKey()
val resouceScores = sc.broadcast(resourceScoresRDD.collect.toMap)
def calSim(item1 : Long, item2 : Long) = {
val iv1 = resouceScores.value(item1)
val iv2 = resouceScores.value(item2)
// 0.5 for test
var distance = 0.5
if(distance 0.05){
var json = new JSONObject()
json.put(_id, item1.toString + item2.toString)
json.put(rid1, item1)
json.put(rid2, item2)
json.put(sim, distance)
json
}
else null
}
//val saveRDD = newRDD.map(arg = arg.toString)
//newRDD.saveAsTextFile(args(1).toString)
val similarityRDD = resourcesRDD.flatMap(resource = { for(other -
bcResources.value if resource other) yield calSim(resource,
other)}).filter(arg = arg != null)
similarityRDD.saveAsTextFile(/home/deployer/sim)
}
}
The data file “/home/deployer/uris.dat” is 2G with lines like this : {
id : 1, a : { 0 : 1 }, rid : 5487628, zid : 10550869 }
And here is my spark-env.sh
export SCALA_HOME=/usr/local/scala-2.10.3
export SPARK_MASTER_IP=192.168.2.184
export SPARK_MASTER_PORT=7077
export SPARK_LOCAL_IP=192.168.2.182
export SPARK_WORKER_MEMORY=20g
export SPARK_MEM=10g
export SPARK_JAVA_OPTS=-Xms4g -Xmx40g -XX:MaxPermSize=10g
-XX:-UseGCOverheadLimit
There are two processes on my server when the spark program is
running(before it crashes):
java -cp
:/usr/local/spark-0.9.0-incubating-bin-hadoop2/conf:/usr/local/spark-0.9.0-incubating-bin-hadoop2/assembly/target/scala-2.10/spark-assembly_2.10-0.9.0-incubating-hadoop2.2.0.jar
-Xms4g -Xmx40g -XX:MaxPermSize=10g -XX:-UseGCOverheadLimit -Xms4g -Xmx40g
-XX:MaxPermSize=10g -XX:-UseGCOverheadLimit -Xms512M -Xmx512M
org.apache.spark.executor.CoarseGrainedExecutorBackend
akka.tcp://spark@192.168.2.183:51339/user/CoarseGrainedScheduler 0
192.168.2.182 16 akka.tcp://sparkWorker@192.168.2.182:45588/user/Worker
app-20140415172433-0001
java -cp
:/usr/local/spark-0.9.0-incubating-bin-hadoop2/conf:/usr/local/spark-0.9.0-incubating-bin-hadoop2/assembly/target/scala-2.10/spark-assembly_2.10-0.9.0-incubating-hadoop2.2.0.jar
-Dspark.akka.logLifecycleEvents=true -Djava.library.path= -Xms512m -Xmx512m
org.apache.spark.deploy.worker.Worker spark://192.168.2.184:7077
Is there anybody who can help me? Thanks very much!!
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-program-thows-OutOfMemoryError-tp4268.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
