[KYLIN-4812] Create Dimension Dictionary With Spark Failed

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Not A Bug
• Affects Version/s: v3.1.1
• Component/s: Spark Engine
• Assignee: Unassigned
• Reporter: vincent zeng
• Created: 09/Nov/20 07:07
• Updated: 14/Nov/20 04:41
• Resolved: 14/Nov/20 04:41

Description

Hi, team. When set `kylin.engine.spark-dimension-dictionary=true`, step `Build Dimension Dictionary with Spark` failed. 

Error Log:

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)