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  • spark在yarn-cluster上面执行报错

    在单机模式下执行成功的spark程序,在yarn上面就报错。异常信息如下:

     1 14/08/14 02:05:42 INFO DAGScheduler: Completed ResultTask(2, 0)
     2 14/08/14 02:05:42 INFO DAGScheduler: Stage 2 (saveAsTextFile at FileUtil.scala:114) finished in 0.179 s
     3 14/08/14 02:05:42 INFO SparkContext: Job finished: saveAsTextFile at FileUtil.scala:114, took 0.331739293 s
     4 14/08/14 02:05:42 INFO TaskSetManager: Finished TID 2 in 184 ms on localhost (progress: 1/1)
     5 14/08/14 02:05:42 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool 
     6 14/08/14 02:05:42 INFO ApplicationMaster: finishApplicationMaster with SUCCEEDED
     7 Exception in thread "main" java.lang.AssertionError: assertion failed
     8     at scala.Predef$.assert(Predef.scala:165)
     9     at org.apache.spark.deploy.yarn.ApplicationMaster.waitForSparkContextInitialized(ApplicationMaster.scala:222)
    10     at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:111)
    11     at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:469)
    12     at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:53)
    13     at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:52)
    14     at java.security.AccessController.doPrivileged(Native Method)
    15     at javax.security.auth.Subject.doAs(Subject.java:415)
    16     at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
    17     at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:52)
    18     at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:468)
    19     at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
    20 14/08/14 02:05:44 INFO ApplicationMaster: AppMaster received a signal.
    21 14/08/14 02:05:44 INFO ApplicationMaster: Deleting staging directory .sparkStaging/application_1408004797389_0007

    从日志上面分析,job执行成功了。但貌似是没有获取到yarn返回的结果信息。

    debug后发现是下面的问题:

    spark-submit --class org.andy.hadoop.ETL --master yarn-cluster  ../lib/rdbms-0.0.1-SNAPSHOT-jar-with-dependencies.jar /dest/ETL2

    job以yarn-cluster形式执行,但代码中初始化的为:

    1  var conf = new SparkConf().setAppName("testFilter").setMaster("local")
    2  var sc = new SparkContext(conf)

    以local的形式初始化的。所以接收不到yarn的返回结果。修改后:

    1     var conf = new SparkConf().setAppName("testFilter").setMaster("yarn-cluster")
    2     var sc = new SparkContext(conf)

    执行成功!

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  • 原文地址:https://www.cnblogs.com/vikings-blog/p/3913039.html
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