Harneet K created SPARK-30745:
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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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