[
https://issues.apache.org/jira/browse/SPARK-3333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14119177#comment-14119177
]
Nicholas Chammas commented on SPARK-3333:
-----------------------------------------
So I've repeated the tests with the exact same setup described in my previous
comment, except this time the instances are {{r3.xlarge}}.
Here are my results:
|| 1.0.2 || 1.1.0-rc3 ||
| 74s | 66s |
| 69s | 67s |
| 72s | 67s |
So this agrees with Josh's earlier results and suggests this may be something
specific to {{m3}} PV instances. Josh is exploring that in more detail in
[SPARK-3358].
In conclusion, once you control the number of reducers, there should be no
performance degradation (with the m3/PV caveats Josh is investigating).
Perhaps for this JIRA issue all we need is some documentation of the change in
the default number of reducers in PySpark from 1.0 to 1.1 and we're good to go?
> 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
> Priority: Blocker
> Attachments: nick-1.0.2.driver.log.zip,
> nick-1.1.0-rc3.driver.log.zip, spark-3333-logs.zip
>
>
> 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 (at least > 45 min) 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
