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.
--
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
