[ https://issues.apache.org/jira/browse/SPARK-4121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell resolved SPARK-4121. ------------------------------------ Resolution: Fixed Okay I merged this. Let's see how it goes. > 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 > Assignee: 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