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https://issues.apache.org/jira/browse/SPARK-25282?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16599310#comment-16599310
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Yinan Li commented on SPARK-25282:
----------------------------------
I'm not sure this is a bug and how this should be enforced systematically. When
you use the client mode and run the driver outside a cluster on a host, you are
using the Spark distribution on the host, which may or may not have the same
version as that of the Spark jars in the image. I guess this is not even a
unique problem to Spark on Kubernetes.
> Fix support for spark-shell with K8s
> ------------------------------------
>
> Key: SPARK-25282
> URL: https://issues.apache.org/jira/browse/SPARK-25282
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 2.4.0
> Reporter: Prashant Sharma
> Priority: Major
>
> Spark shell when run with kubernetes master, gives following errors.
> {noformat}
> java.io.InvalidClassException: org.apache.spark.storage.BlockManagerId; local
> class incompatible: stream classdesc serialVersionUID = -3720498261147521051,
> local class serialVersionUID = -6655865447853211720
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
> at
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1630)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1521)
> at
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1781)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
> at
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
> {noformat}
> Special care was taken to ensure, the same compiled jar was used both in
> images and the host system. or system running the driver.
> This issue affects, pyspark and R interface as well.
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