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From umanga <bistauma...@gmail.com>
Subject scala.NotImplementedError: put() should not be called on an EmptyStateMap while doing stateful computation on spark streaming
Date Tue, 21 Jun 2016 06:16:41 GMT
I am getting following warning while running stateful computation. The state
consists of BloomFilter (stream-lib) as Value and Integer as key.

The program runs smoothly for few minutes and after that, i am getting this
warning, and streaming app becomes unstable (processing time increases
exponentially), and ultimately job fails.


WARN TaskSetManager: Lost task 0.0 in stage 144.0 (TID 326, mesos-slave-02):
scala.NotImplementedError: put() should not be called on an EmptyStateMap
	at org.apache.spark.streaming.util.EmptyStateMap.put(StateMap.scala:73)
	at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:62)
	at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:55)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at
org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
	at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$.updateRecordWithData(MapWithStateRDD.scala:55)
	at
org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:155)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:89)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	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)

I am using kryo serialization. From somewhere in internet, I am getting hint
that this may be due to kryo serialization error for
OpenHashMapBasedStateMap. But, I have no idea how to fix this.



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