Spark 作业容器以 exitCode 退出:-1000

问题描述

我一直在努力在纱线集群模式下使用 spark 2.0.0 运行示例作业，作业存在退出代码:-1000 没有任何其他线索.相同的作业在本地模式下正常运行.

I have been struggling to run sample job with spark 2.0.0 in yarn cluster mode, job exists with exitCode: -1000 without any other clues. Same job runs properly in local mode.

Spark 命令:

spark-submit \
--conf "spark.yarn.stagingDir=/xyz/warehouse/spark" \
--queue xyz \
--class com.xyz.TestJob \
--master yarn \
--deploy-mode cluster \
--conf "spark.local.dir=/xyz/warehouse/tmp" \
/xyzpath/java-test-1.0-SNAPSHOT.jar $@

TestJob 类:

public class TestJob {
    public static void main(String[] args) throws InterruptedException {
        SparkConf conf = new SparkConf();
        JavaSparkContext jsc = new JavaSparkContext(conf);
        System.out.println(
                "TOtal count:"+
                        jsc.parallelize(Arrays.asList(new Integer[]{1,2,3,4})).count());
        jsc.stop();
    }
}

错误日志:

17/10/04 22:26:52 INFO Client: Application report for application_1506717704791_130756 (state: ACCEPTED)
17/10/04 22:26:52 INFO Client:
         client token: N/A
         diagnostics: N/A
         ApplicationMaster host: N/A
         ApplicationMaster RPC port: -1
         queue: root.xyz
         start time: 1507181210893
         final status: UNDEFINED
         tracking URL: http://xyzserver:8088/proxy/application_1506717704791_130756/
         user: xyz
17/10/04 22:26:53 INFO Client: Application report for application_1506717704791_130756 (state: ACCEPTED)
17/10/04 22:26:54 INFO Client: Application report for application_1506717704791_130756 (state: ACCEPTED)
17/10/04 22:26:55 INFO Client: Application report for application_1506717704791_130756 (state: ACCEPTED)
17/10/04 22:26:56 INFO Client: Application report for application_1506717704791_130756 (state: FAILED)
17/10/04 22:26:56 INFO Client:
         client token: N/A
         diagnostics: Application application_1506717704791_130756 failed 5 times due to AM Container for appattempt_1506717704791_130756_000005 exited with  exitCode: -1000
For more detailed output, check application tracking page:http://xyzserver:8088/cluster/app/application_1506717704791_130756Then, click on links to logs of each attempt.
Diagnostics: Failing this attempt. Failing the application.
         ApplicationMaster host: N/A
         ApplicationMaster RPC port: -1
         queue: root.xyz
         start time: 1507181210893
         final status: FAILED
         tracking URL: http://xyzserver:8088/cluster/app/application_1506717704791_130756
         user: xyz
17/10/04 22:26:56 INFO Client: Deleted staging directory /xyz/spark/.sparkStaging/application_1506717704791_130756
Exception in thread "main" org.apache.spark.SparkException: Application application_1506717704791_130756 finished with failed status
        at org.apache.spark.deploy.yarn.Client.run(Client.scala:1167)
        at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1213)

当我浏览页面时 http://xyzserver:8088/cluster/app/application_1506717704791_130756 它不存在.

When I browse the page http://xyzserver:8088/cluster/app/application_1506717704791_130756 it doesn't exists.

未找到 Yarn 应用程序日志-

$yarn logs -applicationId application_1506717704791_130756
/apps/yarn/logs/xyz/logs/application_1506717704791_130756 does not have any log files.

此错误的可能根本原因是什么以及如何获取详细的错误日志?

What could be the possibly rootcause of this error and how to get detailed error logs?

推荐答案

在花了将近一整天的时间后，我找到了根本原因.当我删除 spark.yarn.stagingDir 它开始工作时，我仍然不确定为什么 spark 抱怨它-

After spending nearly one whole day I found the rootcause. When I remove spark.yarn.stagingDir it starts working and I am still not sure why spark is complaining about it-

上一个 Spark 提交-

spark-submit \
--conf "spark.yarn.stagingDir=/xyz/warehouse/spark" \
--queue xyz \
--class com.xyz.TestJob \
--master yarn \
--deploy-mode cluster \
--conf "spark.local.dir=/xyz/warehouse/tmp" \
/xyzpath/java-test-1.0-SNAPSHOT.jar $@

新-

spark-submit \
--queue xyz \
--class com.xyz.TestJob \
--master yarn \
--deploy-mode cluster \
--conf "spark.local.dir=/xyz/warehouse/tmp" \
/xyzpath/java-test-1.0-SNAPSHOT.jar $@

这篇关于Spark 作业容器以 exitCode 退出:-1000的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！