SparkStreaming消费Kafka数据异常

异常情况

19/07/04 03:29:10 INFO scheduler.JobScheduler: Added jobs for time 1562182150000 ms
19/07/04 03:29:51 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 8950.0 (TID 445844, 10.101.130.217, executor 2): java.lang.IllegalArgumentException: requirement failed: Failed to get records for spark-execut
or-bigdate bdp.test-1 39599896 after polling for 120000 at scala.Predef$.require(Predef.scala:224)
    at org.apache.spark.streaming.kafka010.InternalKafkaConsumer.get(KafkaDataConsumer.scala:135)
    at org.apache.spark.streaming.kafka010.KafkaDataConsumer$class.get(KafkaDataConsumer.scala:36)
    at org.apache.spark.streaming.kafka010.KafkaDataConsumer$NonCachedKafkaDataConsumer.get(KafkaDataConsumer.scala:218)
    at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:261)
    at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:229)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

查看了一下KafkaDataConsumer的源码，是读缓存区的数据时发生异常，Kafka出现异常了。

    if (!buffer.hasNext()) {
      poll(timeout)
    }
    require(buffer.hasNext(),
      s"Failed to get records for $groupId $topicPartition $offset after polling for $timeout")
    var record = buffer.next()

读取缓冲区的时候出异常了。
最后发现是Kafka挂了。至于为啥Kafka挂了会导致异常，还需要进一步跟进。