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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org