[ https://issues.apache.org/jira/browse/SPARK-20911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-20911. ------------------------------- Resolution: Duplicate > Unable to do windowing operation on Spark 2.1.1 and kafka 0.10.2.0 > ------------------------------------------------------------------ > > Key: SPARK-20911 > URL: https://issues.apache.org/jira/browse/SPARK-20911 > Project: Spark > Issue Type: Bug > Components: DStreams > Affects Versions: 2.1.1 > Reporter: Mustak > > Hi .. I'm unable to do windowing operation by using spark 2.1.1 and kafka > 0.10.2.0. I'm getting the following error message in spark.. > 17/05/29 12:03:33 ERROR JobScheduler: Error running job streaming job > 1496039609000 ms.0 > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in > stage 16.0 failed 1 times, most recent failure: Lost task 0.0 in stage 16.0 > (TID 9, localhost, executor driver): > java.util.ConcurrentModificationException: KafkaConsumer is not safe for > multi-threaded access > at > org.apache.kafka.clients.consumer.KafkaConsumer.acquire(KafkaConsumer.java:1431) > at > org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1132) > at > org.apache.spark.streaming.kafka010.CachedKafkaConsumer.seek(CachedKafkaConsumer.scala:95) > at > org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:69) > at > org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:228) > at > org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:194) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:364) > at > org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1021) > at > org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:996) > at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:936) > at > org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:996) > at > org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:700) > at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:334) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:285) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) > 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:748) > I'm able to run the same program with saprk 1.6.2 and kafka 0.8 versions. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org