scala - 程序执行期间Apache-Spark出现超时异常

Question

我正在 MAC 中运行 Bash 脚本。该脚本多次调用用Scala语言编写的spark方法。我目前正在尝试使用 for 循环调用此 Spark 方法 100,000 次。

运行少量迭代(大约 3000 次迭代)后，代码会退出并出现以下异常。

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，这个错误是因为大量调用spark方法引起的吗？

Answer 1

它的RpcTimeoutException ..因此spark.network.timeout (spark.rpc.askTimeout)可以调整为大于默认值值以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。请参阅latest

spark.network.timeout 120s Default timeout for all network interactions. This config will be used in place of spark.core.connection.ack.wait.timeout, spark.storage.blockManagerSlaveTimeoutMs, spark.shuffle.io.connectionTimeout, spark.rpc.askTimeout or spark.rpc.lookupTimeout if they are not configured.

还要考虑增加执行程序内存，即 spark.executor.memory，最重要的是检查您的代码，以检查它是否适合进一步优化。

解决方案:值 600 根据要求

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