[
https://issues.apache.org/jira/browse/SPARK-4121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14190708#comment-14190708
]
Sean Owen commented on SPARK-4121:
----------------------------------
Sorry I have been traveling without internet. When I tried revising the shading
last night, tests hung. Probably due to network weirdness.
My concern was that by shading just 2 modules you have to watch for other
modules that accidentally start using Math3.
I think a less drastic solution like modulating the version with hadoop profile
sounds fine in principle. I'd have to look up what version goes with what. I
think we are not using any very new methods.
Sorry about that and please proceed as you see fit though I will have another
look tonight.
> Master build failures after shading commons-math3
> -------------------------------------------------
>
> Key: SPARK-4121
> URL: https://issues.apache.org/jira/browse/SPARK-4121
> Project: Spark
> Issue Type: Bug
> Components: Build, MLlib, Spark Core
> Affects Versions: 1.2.0
> Reporter: Xiangrui Meng
> Priority: Blocker
>
> The Spark master Maven build kept failing after we replace colt with
> commons-math3 and shade the latter:
> https://amplab.cs.berkeley.edu/jenkins/job/Spark-Master-Maven-with-YARN/
> The error message is:
> {code}
> KMeansClusterSuite:
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> Spark assembly has been built with Hive, including Datanucleus jars on
> classpath
> - task size should be small in both training and prediction *** FAILED ***
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 1
> in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in stage 1.0
> (TID 9, localhost): java.io.InvalidClassException:
> org.apache.spark.util.random.PoissonSampler; local class incompatible: stream
> classdesc serialVersionUID = -795011761847245121, local class
> serialVersionUID = 4249244967777318419
> java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:617)
>
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1622)
> java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
>
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
>
> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:57)
> org.apache.spark.scheduler.Task.run(Task.scala:56)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:186)
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:745)
> {code}
> This test passed in local sbt build. So the issue should be caused by
> shading. Maybe there are two versions of commons-math3 (hadoop depends on
> it), or MLlib doesn't use the shaded version at compile.
> [~srowen] Could you take a look? Thanks!
--
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
