[jira] [Created] (SPARK-30745) Spark streaming, kafka broker error, "Failed to get records for spark-executor- .... after polling for 512"

["Harneet K (Jira)" <ji...@apache.org>]

Harneet K created SPARK-30745:
---------------------------------

             Summary: Spark streaming, kafka broker error, "Failed to get records for spark-executor- .... after polling for 512"
                 Key: SPARK-30745
                 URL: https://issues.apache.org/jira/browse/SPARK-30745
             Project: Spark
          Issue Type: Bug
          Components: Build, Deploy, DStreams, Kubernetes
    Affects Versions: 2.0.2
         Environment: Spark 2.0.2, Kafka 0.10
            Reporter: Harneet K


We have a spark streaming application reading data from kafka.
Data size: 15 Million



Below errors were seen:
java.lang.AssertionError: assertion failed: Failed to get records for spark-executor- .... after polling for 512 at scala.Predef$.assert(Predef.scala:170)

There were more errors seen pertaining to CachedKafkaConsumer
at org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:74)
at org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:227)
at org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:193) 
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:214)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:935)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:926)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:866)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:926) 
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:670) 
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:281)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) 
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
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)

 

The spark.streaming.kafka.consumer.poll.ms is set to default 512ms and other kafka stream timeout settings are default.
"request.timeout.ms" 
 "heartbeat.interval.ms" 
 "session.timeout.ms" 
 "max.poll.interval.ms" 

Also, the kafka is being recently updated to 0.10 from 0.8. In 0.8, this behavior was not seen. There is no resource issue seen.

 



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