Question

我有一个基于Yarn的Spark群集运行良好的应用程序，当我用这样的spark-submit提交它时：

~/spark-1.4.0-bin-hadoop2.4$ bin/spark-submit --class MyClass --master yarn-cluster --queue testing myApp.jar hdfs://nameservice1/user/XXX/README.md_count

但是，我想避免每次都上传spark-assembly.jar文件，所以我设置了spark.yarn.jar配置参数：

~/spark-1.4.0-bin-hadoop2.4$ bin/spark-submit --class MyClass --master yarn-cluster --queue testing --conf "spark.yarn.jar=hdfs://nameservice1/user/spark/share/lib/spark-assembly.jar" myApp.jar hdfs://nameservice1/user/XXX/README.md_count

这开始似乎很好：

15/07/08 13:57:17 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/07/08 13:57:18 INFO yarn.Client: Requesting a new application from cluster with 24 NodeManagers
15/07/08 13:57:18 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
15/07/08 13:57:18 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
15/07/08 13:57:18 INFO yarn.Client: Setting up container launch context for our AM
15/07/08 13:57:18 INFO yarn.Client: Preparing resources for our AM container
15/07/08 13:57:18 INFO yarn.Client: Source and destination file systems are the same. Not copying hdfs://nameservice1/user/spark/share/lib/spark-assembly.jar
[...]

然而，最终失败了：

15/07/08 13:57:18 INFO yarn.Client: Submitting application 670 to ResourceManager
15/07/08 13:57:18 INFO impl.YarnClientImpl: Submitted application application_1434986503384_0670
15/07/08 13:57:19 INFO yarn.Client: Application report for application_1434986503384_0670 (state: ACCEPTED)
15/07/08 13:57:19 INFO yarn.Client: 
 client token: N/A
 diagnostics: N/A
 ApplicationMaster host: N/A
 ApplicationMaster RPC port: -1
 queue: testing
 start time: 1436356638869
 final status: UNDEFINED
 tracking URL: http://node-00a/cluster/app/application_1434986503384_0670
 user: XXX
15/07/08 13:57:20 INFO yarn.Client: Application report for application_1434986503384_0670 (state: ACCEPTED)
15/07/08 13:57:21 INFO yarn.Client: Application report for application_1434986503384_0670 (state: ACCEPTED)
15/07/08 13:57:23 INFO yarn.Client: Application report for application_1434986503384_0670 (state: FAILED)
15/07/08 13:57:23 INFO yarn.Client: 
 client token: N/A
 diagnostics: Application application_1434986503384_0670 failed 2 times due to AM Container for appattempt_1434986503384_0670_000002 exited with  exitCode: 1 due to: Exception from container-launch.
Container id: container_1434986503384_0670_02_000001
Exit code: 1
[...]

在Yarn日志中，我发现以下错误消息表明参数使用错误：

Container: container_1434986503384_0670_01_000001 on node-01b_8041
===================================================================================================
LogType:stderr
Log Upload Time:Mi Jul 08 13:57:22 +0200 2015
LogLength:764
Log Contents:
    Unknown/unsupported param List(--arg, hdfs://nameservice1/user/XXX/README.md_count, --executor-memory, 1024m, --executor-cores, 1, --num-executors, 2)
    Usage: org.apache.spark.deploy.yarn.ApplicationMaster [options] 
Options:
  --jar JAR_PATH       Path to your application's JAR file (required)
  --class CLASS_NAME   Name of your application's main class (required)
  --args ARGS          Arguments to be passed to your application's main class.
                       Mutliple invocations are possible, each will be passed in order.
  --num-executors NUM    Number of executors to start (Default: 2)
  --executor-cores NUM   Number of cores for the executors (Default: 1)
  --executor-memory MEM  Memory per executor (e.g. 1000M, 2G) (Default: 1G)

End of LogType:stderr

由于在提交时上传本地程序集文件时运行相同的应用程序，它似乎归结为程序集文件。群集上的那个可能是错误的/不同的版本吗？我该如何验证？原因还有什么其他原因？警告WARN util.NativeCodeLoader: ...是否可能相关？

当我设置（已弃用）环境变量SPARK_JAR而不是设置spark.yarn.jar时，会发生同样的情况。

Answer 1

在这里提出一个显而易见的问题：您确定HDFS上的spark-assembly.jar与您在本地的相同吗？如果没有，您可以尝试将本地spark程序集上传到HDFS上的主目录，然后重试吗？

Spark：设置conf.yarn.jar时出现未知/不支持的参数错误

1 个答案: