GitHub user tdas opened a pull request:

    https://github.com/apache/spark/pull/9958

    [SPARK-11979][Streaming] Empty TrackStateRDD cannot be checkpointed and 
recovered from checkpoint file

    This solves the following exception caused when empty state RDD is 
checkpointed and recovered. The root cause is that an empty 
OpenHashMapBasedStateMap cannot be deserialized as the initialCapacity is set 
to zero.
    ```
    Job aborted due to stage failure: Task 0 in stage 6.0 failed 1 times, most 
recent failure: Lost task 0.0 in stage 6.0 (TID 20, localhost): 
java.lang.IllegalArgumentException: requirement failed: Invalid initial capacity
        at scala.Predef$.require(Predef.scala:233)
        at 
org.apache.spark.streaming.util.OpenHashMapBasedStateMap.<init>(StateMap.scala:96)
        at 
org.apache.spark.streaming.util.OpenHashMapBasedStateMap.<init>(StateMap.scala:86)
        at 
org.apache.spark.streaming.util.OpenHashMapBasedStateMap.readObject(StateMap.scala:291)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at 
java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
        at 
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
        at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
        at 
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
        at 
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
        at 
org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:181)
        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
        at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at 
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
        at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
        at scala.collection.AbstractIterator.to(Iterator.scala:1157)
        at 
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
        at 
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
        at 
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:921)
        at 
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:921)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:88)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:744)
    ```


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/tdas/spark SPARK-11979

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/9958.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #9958
    
----
commit 2cdec72e1d1b89fbf0a26c70c259e077d5ef25b7
Author: Tathagata Das <[email protected]>
Date:   2015-11-25T05:17:48Z

    Fixed state map deser bug

----


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