Nicholas Chammas created SPARK-3333:
---------------------------------------

             Summary: Large number of partitions causes OOM
                 Key: SPARK-3333
                 URL: https://issues.apache.org/jira/browse/SPARK-3333
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 1.1.0
         Environment: EC2; 1 master; 1 slave; {{m3.xlarge}} instances
            Reporter: Nicholas Chammas


Here’s a repro for PySpark:

{code}
a = sc.parallelize(["Nick", "John", "Bob"])
a = a.repartition(24000)
a.keyBy(lambda x: len(x)).reduceByKey(lambda x,y: x + y).take(1)
{code}

This code runs fine on 1.0.2. It returns the following result in just over a 
minute:

{code}
[(4, 'NickJohn')]
{code}

However, when I try this with 1.1.0-rc3 on an identically-sized cluster, it 
runs for a very, very long time and then fails with 
{{java.lang.OutOfMemoryError: Java heap space}}.

Here is a stack trace taken from a run on 1.1.0-rc2:

{code}
>>> a = sc.parallelize(["Nick", "John", "Bob"])
>>> a = a.repartition(24000)
>>> a.keyBy(lambda x: len(x)).reduceByKey(lambda x,y: x + y).take(1)
14/08/29 21:53:40 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(0, ip-10-138-29-167.ec2.internal, 46252, 0) with no recent heart 
beats: 175143ms exceeds 45000ms
14/08/29 21:53:50 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(10, ip-10-138-18-106.ec2.internal, 33711, 0) with no recent 
heart beats: 175359ms exceeds 45000ms
14/08/29 21:54:02 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(19, ip-10-139-36-207.ec2.internal, 52208, 0) with no recent 
heart beats: 173061ms exceeds 45000ms
14/08/29 21:54:13 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(5, ip-10-73-142-70.ec2.internal, 56162, 0) with no recent heart 
beats: 176816ms exceeds 45000ms
14/08/29 21:54:22 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(7, ip-10-236-145-200.ec2.internal, 40959, 0) with no recent 
heart beats: 182241ms exceeds 45000ms
14/08/29 21:54:40 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(4, ip-10-139-1-195.ec2.internal, 49221, 0) with no recent heart 
beats: 178406ms exceeds 45000ms
14/08/29 21:54:41 ERROR Utils: Uncaught exception in thread Result resolver 
thread-3
java.lang.OutOfMemoryError: Java heap space
    at com.esotericsoftware.kryo.io.Input.readBytes(Input.java:296)
    at 
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:35)
    at 
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:18)
    at com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:699)
    at 
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:611)
    at 
com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221)
    at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
    at 
org.apache.spark.serializer.KryoSerializerInstance.deserialize(KryoSerializer.scala:162)
    at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:79)
    at 
org.apache.spark.scheduler.TaskSetManager.handleSuccessfulTask(TaskSetManager.scala:514)
    at 
org.apache.spark.scheduler.TaskSchedulerImpl.handleSuccessfulTask(TaskSchedulerImpl.scala:355)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:68)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2.run(TaskResultGetter.scala:46)
    at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)
Exception in thread "Result resolver thread-3" 14/08/29 21:56:26 ERROR 
SendingConnection: Exception while reading SendingConnection to 
ConnectionManagerId(ip-10-73-142-223.ec2.internal,54014)
java.nio.channels.ClosedChannelException
    at sun.nio.ch.SocketChannelImpl.ensureReadOpen(SocketChannelImpl.java:252)
    at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:295)
    at org.apache.spark.network.SendingConnection.read(Connection.scala:390)
    at 
org.apache.spark.network.ConnectionManager$$anon$7.run(ConnectionManager.scala:199)
    at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)
java.lang.OutOfMemoryError: Java heap space
    at com.esotericsoftware.kryo.io.Input.readBytes(Input.java:296)
    at 
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:35)
    at 
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.read(DefaultArraySerializers.java:18)
    at com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:699)
    at 
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:611)
    at 
com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221)
    at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
    at 
org.apache.spark.serializer.KryoSerializerInstance.deserialize(KryoSerializer.scala:162)
    at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:79)
    at 
org.apache.spark.scheduler.TaskSetManager.handleSuccessfulTask(TaskSetManager.scala:514)
    at 
org.apache.spark.scheduler.TaskSchedulerImpl.handleSuccessfulTask(TaskSchedulerImpl.scala:355)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:68)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
    at 
org.apache.spark.scheduler.TaskResultGetter$$anon$2.run(TaskResultGetter.scala:46)
    at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)
14/08/29 21:54:43 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(6, ip-10-137-1-139.ec2.internal, 42539, 0) with no recent heart 
beats: 183978ms exceeds 45000ms
14/08/29 21:57:42 ERROR ConnectionManager: Corresponding SendingConnection to 
ConnectionManagerId(ip-10-138-9-33.ec2.internal,41924) not found
14/08/29 21:57:51 WARN BlockManagerMasterActor: Removing BlockManager 
BlockManagerId(11, ip-10-236-181-116.ec2.internal, 46847, 0) with no recent 
heart beats: 178629ms exceeds 45000ms
14/08/29 21:57:43 ERROR ConnectionManager: Corresponding SendingConnection to 
ConnectionManagerId(ip-10-137-1-139.ec2.internal,42539) not found
14/08/29 21:57:54 ERROR SendingConnection: Exception while reading 
SendingConnection to ConnectionManagerId(ip-10-141-136-168.ec2.internal,42960)
java.nio.channels.ClosedChannelException
    at sun.nio.ch.SocketChannelImpl.ensureReadOpen(SocketChannelImpl.java:252)
    at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:295)
    at org.apache.spark.network.SendingConnection.read(Connection.scala:390)
    at 
org.apache.spark.network.ConnectionManager$$anon$7.run(ConnectionManager.scala:199)
    at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)
{code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to