在 Spark Streaming 作业中获取 broadcast_1 的 broadcast_1_piece0 失败

Question

我在集群模式下在 yarn 上运行 spark 作业。该作业从 kafka 直接流中获取消息。我每 30 秒使用一次广播变量和检查点。当我第一次开始工作时，它运行良好，没有任何问题。如果我终止作业并重新启动，它会在收到来自 kafka 的消息时在执行程序中引发以下异常：

java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_1_piece0 of broadcast_1
    at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1178)
    at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
    at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
    at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
    at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
    at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
    at net.juniper.spark.stream.LogDataStreamProcessor$2.call(LogDataStreamProcessor.java:177)
    at net.juniper.spark.stream.LogDataStreamProcessor$2.call(LogDataStreamProcessor.java:1)
    at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:172)
    at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:172)
    at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
    at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
    at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
    at scala.collection.Iterator$class.foreach(Iterator.scala:727)
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
    at scala.collection.AbstractIterator.to(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
    at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
    at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
    at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1298)
    at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1298)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:88)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

有人知道如何解决这个错误吗？

Spark 版本：1.5.0

CDH 5.5.1

Answer 1

遇到只有第一次运行有效的问题时，总是会导致检查点数据出现问题。而且，检查点的使用只有在有要检查的东西时才会发生，这是来自 kafka 的第一条消息。 我建议你检查一下你的工作是否真的死了，也就是说，也许这个进程还在执行它的机器上运行。 尝试运行一个简单的ps -fe，看看是否有什么东西还在运行。如果有 2 个进程试图使用同一个检查点文件夹，它总是会失败。 希望这会有所帮助