apache-spark - 为什么Spark作业失败并显示“退出代码:52”

Question

我的Spark作业失败了，出现这样的痕迹：

./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Container id: container_1455622885057_0016_01_000008
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Exit code: 52
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr:Stack trace: ExitCodeException exitCode=52: 
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.util.Shell.run(Shell.java:456)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at java.util.concurrent.FutureTask.run(FutureTask.java:262)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-      at java.lang.Thread.run(Thread.java:745)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Container exited with a non-zero exit code 52

我花了一段时间才弄清楚“退出代码52”的含义，因此我将其放在此处以使可能正在搜索的其他人受益

Answer 1

退出代码52来自org.apache.spark.util.SparkExitCode，它是val OOM=52-即OutOfMemoryError。这很有意义，因为我也在容器日志中找到了这一点：

16/02/16 17:09:59 ERROR executor.Executor: Managed memory leak detected; size = 4823704883 bytes, TID = 3226
16/02/16 17:09:59 ERROR executor.Executor: Exception in task 26.0 in stage 2.0 (TID 3226)
java.lang.OutOfMemoryError: Unable to acquire 1248 bytes of memory, got 0
        at org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:120)
        at org.apache.spark.shuffle.sort.ShuffleExternalSorter.acquireNewPageIfNecessary(ShuffleExternalSorter.java:354)
        at org.apache.spark.shuffle.sort.ShuffleExternalSorter.insertRecord(ShuffleExternalSorter.java:375)
        at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.insertRecordIntoSorter(UnsafeShuffleWriter.java:237)
        at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:164)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)

（请注意，我目前还不确定问题是否出在我的代码中还是由于钨内存泄漏引起的，但这是另一个问题）