[jira] [Created] (SPARK-4121) Master build failures after shading commons-math3

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

Xiangrui Meng created SPARK-4121:
------------------------------------

             Summary: 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: 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 later:

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 with local sbt build. So it 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.



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