Spark-shell运行命令出现：java.lang.OutOfMemoryError: Java heap space

[sinat_22224149]

下面是标准输出：请问应该如何解决？
14/12/03 10:46:53 ERROR executor.Executor: Exception in task ID 1
java.lang.OutOfMemoryError: Java heap space
at java.io.ObjectInputStream$HandleTable.grow(ObjectInputStream.java:3437)
at java.io.ObjectInputStream$HandleTable.assign(ObjectInputStream.java:3244)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1762)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1964)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1888)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:369)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:63)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$DiskMapIterator.readNextItem(ExternalAppendOnlyMap.scala:384)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$DiskMapIterator.hasNext(ExternalAppendOnlyMap.scala:402)
at scala.collection.Iterator$$anon$1.hasNext(Iterator.scala:847)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator.org$apache$spark$util$collection$ExternalAppendOnlyMap$ExternalIterator$$getMorePairs(ExternalAppendOnlyMap.scala:256)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator$$anonfun$next$1.apply(ExternalAppendOnlyMap.scala:312)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator$$anonfun$next$1.apply(ExternalAppendOnlyMap.scala:310)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator.next(ExternalAppendOnlyMap.scala:310)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator.next(ExternalAppendOnlyMap.scala:226)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.util.collection.ExternalAppendOnlyMap$ExternalIterator.foreach(ExternalAppendOnlyMap.scala:226)
at org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:57)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:147)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:97)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)

[人生偌只如初见]

试试修改spark-env.xml中SPARK_DAEMON_JAVA_OPTS选项里面的值 比如 -Xmx16g -Xms16g -Xmn256m -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:ParallelGCThreads=10 -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -Xloggc:/home/hadoop/software/spark/spark-1.1.0-bin-hadoop2.4/logs