[jira] [Created] (SPARK-10251) Some internal spark classes are not registered with kryo

["Soren Macbeth (JIRA)" <ji...@apache.org>]

Soren Macbeth created SPARK-10251:
-------------------------------------

             Summary: Some internal spark classes are not registered with kryo
                 Key: SPARK-10251
                 URL: https://issues.apache.org/jira/browse/SPARK-10251
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.4.1
            Reporter: Soren Macbeth


When running a job using kryo serialization and setting `spark.kryo.registrationRequired=true` some internal classes are not registered, causing the job to die. This is still a problem when this setting is false (which is the default) because it makes the space required to store serialized objects in memory or disk much much more expensive in terms of runtime and storage space.

```
15/08/25 20:28:21 WARN spark.scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, a.b.c.d): java.lang.IllegalArgumentException: Class is not registered: scala.Tuple2[]
Note: To register this class use: kryo.register(scala.Tuple2[].class);
        at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:442)
        at com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:79)
        at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:472)
        at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:565)
        at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:250)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:236)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
```



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