[jira] [Closed] (KYLIN-4812) Create Dimension Dictionary With Spark Failed

["vincent zeng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/KYLIN-4812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

vincent zeng closed KYLIN-4812.
-------------------------------
    Resolution: Not A Bug

> Create Dimension Dictionary With Spark Failed
> ---------------------------------------------
>
>                 Key: KYLIN-4812
>                 URL: https://issues.apache.org/jira/browse/KYLIN-4812
>             Project: Kylin
>          Issue Type: Bug
>          Components: Spark Engine
>    Affects Versions: v3.1.1
>            Reporter: vincent zeng
>            Priority: Major
>
> Hi, team. When set `kylin.engine.spark-dimension-dictionary=true`, step `Build Dimension Dictionary with Spark` failed. 
> Error Log:
> {code:java}
> Driver stacktrace:
> 	at org.apache.kylin.common.util.AbstractApplication.execute(AbstractApplication.java:42)
> 	at org.apache.kylin.common.util.SparkEntry.main(SparkEntry.java:44)
> 	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:498)
> 	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:684)
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 4 times, most recent failure: Lost task 2.3 in stage 0.0 (TID 8, emr-worker-2.cluster-46685, executor 3): java.lang.NullPointerException
> 	at org.apache.kylin.common.KylinConfig.getManager(KylinConfig.java:462)
> 	at org.apache.kylin.cube.CubeManager.getInstance(CubeManager.java:106)
> 	at org.apache.kylin.engine.spark.SparkBuildDictionary$DimensionDictsBuildFunction.init(SparkBuildDictionary.java:246)
> 	at org.apache.kylin.engine.spark.SparkBuildDictionary$DimensionDictsBuildFunction.call(SparkBuildDictionary.java:257)
> 	at org.apache.kylin.engine.spark.SparkBuildDictionary$DimensionDictsBuildFunction.call(SparkBuildDictionary.java:219)
> 	at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
> 	at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1043)
> 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> 	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> 	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> 	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> 	at scala.collection.AbstractIterator.to(Iterator.scala:1334)
> 	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> 	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334)
> 	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> 	at scala.collection.AbstractIterator.toArray(Iterator.scala:1334)
> 	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)
> 	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)
> 	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> 	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:121)
> 	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> 	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)
> {code}



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