在 Oozie-Spark 动作中添加多个罐子

Posted 2023-02-16

【中文标题】在 Oozie-Spark 动作中添加多个罐子

【英文标题】：adding multiple jars in Oozie-Spark action

【发布时间】：2017-07-20 08:44:00

【问题描述】：

我正在使用 HDP2.6。 oozie 4.2 安装在哪里。和 Spark2。

在我在此站点上跟踪 Hortonworks 指南后：https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.1/bk_spark-component-guide/content/ch_oozie-spark-action.html 用于在 4.2 中为 Spark2 添加库。 Oozie 的版本。

在我使用此插件提交作业后：

oozie.action.sharelib.for.spark=spark2

我得到的错误是：

   2017-07-19 12:36:53,271  WARN SparkActionExecutor:523 - SERVER[] USER[admin] GROUP[-] TOKEN[] APP[Workflow2] JOB[0000012-170717153234639-oozie-oozi-W] ACTION[0000012-170717153234639-oozie-oozi-W@spark_1] Launcher ERROR, reason: Main class [org.apache.oozie.action.hadoop.SparkMain], main() threw exception, Attempt to add (hdfs://:8020/user/oozie/share/lib/lib_20170613110051/oozie/aws-java-sdk-core-1.10.6.jar) multiple times to the distributed cache.
    2017-07-19 12:36:53,275  WARN SparkActionExecutor:523 - SERVER[] USER[admin] GROUP[-] TOKEN[] APP[Workflow2] JOB[0000012-170717153234639-oozie-oozi-W] ACTION[0000012-170717153234639-oozie-oozi-W@spark_1] Launcher exception: Attempt to add (hdfs://:8020/user/oozie/share/lib/lib_20170613110051/oozie/aws-java-sdk-core-1.10.6.jar) multiple times to the distributed cache.
    java.lang.IllegalArgumentException: Attempt to add (hdfs://:8020/user/oozie/share/lib/lib_20170613110051/oozie/aws-java-sdk-core-1.10.6.jar) multiple times to the distributed cache.
        at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$13$$anonfun$apply$8.apply(Client.scala:629)
        at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$13$$anonfun$apply$8.apply(Client.scala:620)
        at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:74)
        at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$13.apply(Client.scala:620)
        at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$13.apply(Client.scala:619)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:619)
        at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:892)
        at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:171)
        at org.apache.spark.deploy.yarn.Client.run(Client.scala:1228)
        at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1287)
        at org.apache.spark.deploy.yarn.Client.main(Client.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:745)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
        at org.apache.oozie.action.hadoop.SparkMain.runSpark(SparkMain.java:311)
        at org.apache.oozie.action.hadoop.SparkMain.run(SparkMain.java:232)
        at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:58)
        at org.apache.oozie.action.hadoop.SparkMain.main(SparkMain.java:62)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:239)
        at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:453)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
        at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:170)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
        at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:164)

我了解到，由于 Spark 处理分布式缓存中的多个文件的方式发生了变化，因此新的 Spark2 将无法与 Spark 2.1（无论如何通过 oozie）一起使用，如下所述：see here

请记住，我使用的是 Ambari 和 HDP2.6。我该如何处理？

【参考方案1】：

您需要将oozie 目录和spark2 目录的内容检查到Oozie 共享库中。如果两者中都有任何罐子，只需将它们从一个地方取出并重试。另外，请执行 oozie admin sharelub update 命令来更新它。

希望这会对你有所帮助。

【讨论】：

我尝试从其中一个文件夹中删除所有 jar，这些 jar 存在于两个文件夹 oozie 和 spark2 中，但没有成功。但是我没有做的一件事是在我删除它们并直接去测试它之后更新sharelib。我会在你有目的之后尝试更新 sharelib，然后告诉你是如何完成的 :) 谢谢顺便说一句 :)

假期过后，我终于尝试了你所说的，是的，它现在可以工作了。非常感谢oyu :)