[ 
https://issues.apache.org/jira/browse/SPARK-19275?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16166112#comment-16166112
 ] 

Karan Singh edited comment on SPARK-19275 at 9/15/17 1:02 PM:
--------------------------------------------------------------

Hi Team , 
My Spark Streaming duration is 5 seconds (5000) and kafka is all at its default 
properties , i am still facing this issue , Can anyone tell me how to resolve 
it what i am doing wrong ?
                        JavaStreamingContext ssc = new JavaStreamingContext(sc, 
new Duration(5000));


Exception in Spark Streamings
Job aborted due to stage failure: Task 6 in stage 289.0 failed 4 times, most 
recent failure: Lost task 6.3 in stage 289.0 (xxxxxx, executor 2): 
java.lang.AssertionError: assertion failed: Failed to get records for 
spark-executor-xxx pulse 1 163684030 after polling for 512
        at scala.Predef$.assert(Predef.scala:170)
        at 
org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:74)
        at 
org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:227)
        at 
org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:193)
        at 
scala.collection.convert.Wrappers$IteratorWrapper.next(Wrappers.scala:31)
        at 
com.xxx.analytics.engine.EngineManager$1$1.call(EngineManager.java:165)
        at 
com.xxx.analytics.engine.EngineManager$1$1.call(EngineManager.java:132)
        at 
org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:219)
        at 
org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:219)
        at 
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
        at 
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$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:745)


was (Author: karansinghkjs346):
Hi Team , 
My Spark Streaming duration is 5 seconds (5000) and kafka is all at its default 
properties , i am still facing this issue , Can anyone tell me how to resolve 
it what i am doing wrong ?
                        JavaStreamingContext ssc = new JavaStreamingContext(sc, 
new Duration(5000));


Exception in Spark Streamings
Job aborted due to stage failure: Task 6 in stage 289.0 failed 4 times, most 
recent failure: Lost task 6.3 in stage 289.0 (xxxxxx, executor 2): 
java.lang.AssertionError: assertion failed: Failed to get records for 
spark-executor-xxx pulse 1 163684030 after polling for 512
        at scala.Predef$.assert(Predef.scala:170)
        at 
org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:74)
        at 
org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:227)
        at 
org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:193)
        at 
scala.collection.convert.Wrappers$IteratorWrapper.next(Wrappers.scala:31)
        at 
com.olacabs.analytics.engine.EngineManager$1$1.call(EngineManager.java:165)
        at 
com.olacabs.analytics.engine.EngineManager$1$1.call(EngineManager.java:132)
        at 
org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:219)
        at 
org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:219)
        at 
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
        at 
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at 
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1951)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$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:745)

> Spark Streaming, Kafka receiver, "Failed to get records for ... after polling 
> for 512"
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-19275
>                 URL: https://issues.apache.org/jira/browse/SPARK-19275
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 2.0.0
>         Environment: Apache Spark 2.0.0, Kafka 0.10 for Scala 2.11
>            Reporter: Dmitry Ochnev
>
> We have a Spark Streaming application reading records from Kafka 0.10.
> Some tasks are failed because of the following error:
> "java.lang.AssertionError: assertion failed: Failed to get records for (...) 
> after polling for 512"
> The first attempt fails and the second attempt (retry) completes 
> successfully, - this is the pattern that we see for many tasks in our logs. 
> These fails and retries consume resources.
> A similar case with a stack trace are described here:
> https://www.mail-archive.com/user@spark.apache.org/msg56564.html
> https://gist.github.com/SrikanthTati/c2e95c4ac689cd49aab817e24ec42767
> Here is the line from the stack trace where the error is raised:
> org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:74)
> We tried several values for "spark.streaming.kafka.consumer.poll.ms", - 2, 5, 
> 10, 30 and 60 seconds, but the error appeared in all the cases except the 
> last one. Moreover, increasing the threshold led to increasing total Spark 
> stage duration.
> In other words, increasing "spark.streaming.kafka.consumer.poll.ms" led to 
> fewer task failures but with cost of total stage duration. So, it is bad for 
> performance when processing data streams.
> We have a suspicion that there is a bug in CachedKafkaConsumer (and/or other 
> related classes) which inhibits the reading process.



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