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From Ted Yu <yuzhih...@gmail.com>
Subject Re: scala.NotImplementedError: put() should not be called on an EmptyStateMap while doing stateful computation on spark streaming
Date Tue, 21 Jun 2016 09:58:15 GMT
Are you using 1.6.1 ?

If not, does the problem persist when you use 1.6.1 ?

Thanks

> On Jun 20, 2016, at 11:16 PM, umanga <bistaumanga@gmail.com> wrote:
> 
> 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.
> 
> 
> 
> --
> View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/scala-NotImplementedError-put-should-not-be-called-on-an-EmptyStateMap-while-doing-stateful-computatg-tp27200.html
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> 
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