程序执行期间Apache-Spark中的超时异常

Question

我在MAC中运行Bash脚本.此脚本调用以Scala语言编写的spark方法很多次.我目前正在尝试使用for循环调用此spark方法100,000次.

在运行少量迭代(大约3000次迭代)之后,代码以以下异常退出.

org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [10 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
    at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
    at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
    at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
    at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
    at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
    at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
    at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1877)
    at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
    at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)

Exception in thread "dag-scheduler-event-loop" 16/11/22 13:37:32 WARN NioEventLoop: Unexpected exception in the selector loop.
java.lang.OutOfMemoryError: Java heap space
    at io.netty.util.internal.MpscLinkedQueue.offer(MpscLinkedQueue.java:126)
    at io.netty.util.internal.MpscLinkedQueue.add(MpscLinkedQueue.java:221)
    at io.netty.util.concurrent.SingleThreadEventExecutor.fetchFromScheduledTaskQueue(SingleThreadEventExecutor.java:259)
    at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:346)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
    at java.lang.Thread.run(Thread.java:745)
java.lang.OutOfMemoryError: Java heap space
    at java.util.regex.Pattern.compile(Pattern.java:1047)
    at java.lang.String.replace(String.java:2180)
    at org.apache.spark.util.Utils$.getFormattedClassName(Utils.scala:1728)
    at org.apache.spark.storage.RDDInfo$$anonfun$1.apply(RDDInfo.scala:57)
    at org.apache.spark.storage.RDDInfo$$anonfun$1.apply(RDDInfo.scala:57)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.storage.RDDInfo$.fromRdd(RDDInfo.scala:57)
    at org.apache.spark.scheduler.StageInfo$$anonfun$1.apply(StageInfo.scala:87)

有人可以帮忙吗,这个错误是由于大量调用spark方法引起的吗？

Answer 1

它的RpcTimeoutException.. so spark.network.timeout(spark.rpc.askTimeout)可以使用大于默认值来调整,以便处理复杂的工作负载.您可以从这些值开始,并根据您的工作负载进行相应调整.请看最新的

spark.network.timeout 120s所有网络交互的默认超时.此配置将用于代替spark.core.connection.ack.wait.timeout,spark.storage.blockManagerSlaveTimeoutMs,spark.shuffle.io.connectionTimeout,spark.rpc.askTimeout或spark.rpc.lookupTimeout(如果未配置) .

还要考虑增加执行程序内存,即spark.executor.memory最重要的是查看代码,检查是否可以进一步优化.

解决方案:值600基于要求

set by SparkConf: conf.set("spark.network.timeout", "600s")
set by spark-defaults.conf: spark.network.timeout 600s
set when calling spark-submit: --conf spark.network.timeout=600s

Answer 2

上面的堆栈跟踪还显示了 Java 堆空间的 OOM 错误，因此一旦尝试增加内存并运行它，以及关于超时其 rpc 超时，您就可以spark.network.timeout根据需要设置超时值...