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https://issues.apache.org/jira/browse/SPARK-22012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-22012.
-------------------------------
Resolution: Invalid
> CLONE - Spark Streaming, Kafka receiver, "Failed to get records for ... after
> polling for 512"
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-22012
> URL: https://issues.apache.org/jira/browse/SPARK-22012
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.0.0
> Environment: Apache Spark 2.1.0.2.6.0.3-8, Kafka 0.10 for Java 8
> Reporter: Karan Singh
> Priority: Blocker
>
> 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)
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