Hi guys, I upgraded to the RC4 of Spark (streaming) 1.6.0 to (re)test the new mapWithState API, after previously reporting issue SPARK-11932 ( https://issues.apache.org/jira/browse/SPARK-11932).
My Spark streaming job involves reading data from a Kafka topic (using KafkaUtils.createDirectStream), stateful processing (using checkpointing & mapWithState) & publishing the results back to Kafka. I'm now facing the NullPointerException below when restoring from a checkpoint in the following scenario: 1/ run job (with local[2]), process data from Kafka while creating & keeping state 2/ stop the job 3/ generate some extra message on the input Kafka topic 4/ start the job again (and restore offsets & state from the checkpoints) The problem is caused by (or at least related to) step 3, i.e. publishing data to the input topic while the job is stopped. The above scenario has been tested successfully when: - step 3 is excluded, so restoring state from a checkpoint is successful when no messages are added when the job is stopped - after step 2, the checkpoints are deleted Any clues? Am I doing something wrong here, or is there still a problem with the mapWithState impl? Thanx, Jan 15/12/29 11:56:12 ERROR executor.Executor: Exception in task 0.0 in stage 3.0 (TID 24) java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) 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) 15/12/29 11:56:12 INFO storage.BlockManagerInfo: Added rdd_25_1 in memory on localhost:10003 (size: 1024.0 B, free: 511.1 MB) 15/12/29 11:56:12 INFO storage.ShuffleBlockFetcherIterator: Getting 0 non-empty blocks out of 8 blocks 15/12/29 11:56:12 INFO storage.ShuffleBlockFetcherIterator: Started 0 remote fetches in 0 ms 15/12/29 11:56:12 INFO storage.MemoryStore: Block rdd_29_1 stored as values in memory (estimated size 1824.0 B, free 488.0 KB) 15/12/29 11:56:12 INFO storage.BlockManagerInfo: Added rdd_29_1 in memory on localhost:10003 (size: 1824.0 B, free: 511.1 MB) 15/12/29 11:56:12 INFO storage.ShuffleBlockFetcherIterator: Getting 0 non-empty blocks out of 8 blocks 15/12/29 11:56:12 INFO storage.ShuffleBlockFetcherIterator: Started 0 remote fetches in 0 ms 15/12/29 11:56:12 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 3.0 (TID 24, localhost): java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) 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) 15/12/29 11:56:12 INFO storage.MemoryStore: Block rdd_33_1 stored as values in memory (estimated size 2.6 KB, free 490.6 KB) 15/12/29 11:56:12 INFO storage.BlockManagerInfo: Added rdd_33_1 in memory on localhost:10003 (size: 2.6 KB, free: 511.1 MB) 15/12/29 11:56:12 ERROR scheduler.TaskSetManager: Task 0 in stage 3.0 failed 1 times; aborting job 15/12/29 11:56:12 INFO scheduler.TaskSchedulerImpl: Cancelling stage 3 15/12/29 11:56:12 INFO executor.Executor: Executor is trying to kill task 1.0 in stage 3.0 (TID 25) 15/12/29 11:56:12 INFO scheduler.TaskSchedulerImpl: Stage 3 was cancelled 15/12/29 11:56:12 INFO scheduler.DAGScheduler: ShuffleMapStage 3 (map at Visitize.scala:91) failed in 0.126 s 15/12/29 11:56:12 INFO scheduler.DAGScheduler: Job 0 failed: foreachPartition at Visitize.scala:96, took 2.222262 s 15/12/29 11:56:12 INFO scheduler.JobScheduler: Finished job streaming job 1451386550000 ms.0 from job set of time 1451386550000 ms 15/12/29 11:56:12 INFO scheduler.JobScheduler: Total delay: 22.738 s for time 1451386550000 ms (execution: 2.308 s) 15/12/29 11:56:12 INFO spark.SparkContext: Starting job: foreachPartition at Visitize.scala:96 15/12/29 11:56:12 INFO scheduler.JobScheduler: Starting job streaming job 1451386560000 ms.0 from job set of time 1451386560000 ms 15/12/29 11:56:12 ERROR scheduler.JobScheduler: Error running job streaming job 1451386550000 ms.0 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 24, localhost): java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) 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) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:920) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:918) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:918) at tts.job.Visitize$$anonfun$createContext$8.apply(Visitize.scala:96) at tts.job.Visitize$$anonfun$createContext$8.apply(Visitize.scala:94) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:426) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:49) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:224) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:223) 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) Caused by: java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) ... 3 more 15/12/29 11:56:12 INFO scheduler.JobGenerator: Checkpointing graph for time 1451386550000 ms 15/12/29 11:56:12 INFO spark.MapOutputTrackerMaster: Size of output statuses for shuffle 3 is 158 bytes Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 24, localhost): java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) 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) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:920) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:918) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:918) at tts.job.Visitize$$anonfun$createContext$8.apply(Visitize.scala:96) at tts.job.Visitize$$anonfun$createContext$8.apply(Visitize.scala:94) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:426) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:49) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:224) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:223) 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) Caused by: java.lang.NullPointerException at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:103) at org.apache.spark.streaming.util.OpenHashMapBasedStateMap.get(StateMap.scala:111) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:56) at org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$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$.updateRecordWithData(MapWithStateRDD.scala:55) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:154) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:148) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) at org.apache.spark.rdd.RDD.iterator(RDD.scala:268) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) ... 3 more 15/12/29 11:56:12 INFO streaming.DStreamGraph: Updating checkpoint data for time 1451386550000 ms 15/12/29 11:56:12 INFO executor.Executor: Executor killed task 1.0 in stage 3.0 (TID 25) 15/12/29 11:56:12 INFO spark.MapOutputTrackerMaster: Size of output statuses for shuffle 2 is 153 bytes 15/12/29 11:56:12 INFO spark.MapOutputTrackerMaster: Size of output statuses for shuffle 1 is 153 bytes -- Jan Uyttenhove Streaming data & digital solutions architect @ Insidin bvba j...@insidin.com https://twitter.com/xorto https://www.linkedin.com/in/januyttenhove This e-mail and any files transmitted with it are intended solely for the use of the individual or entity to whom they are addressed. It may contain privileged and confidential information. If you are not the intended recipient please notify the sender immediately and destroy this e-mail. Any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication of this e-mail message is strictly prohibited. Whilst all efforts are made to safeguard e-mails, the sender cannot guarantee that attachments are virus free or compatible with your systems and does not accept liability in respect of viruses or computer problems experienced.
