[ 
https://issues.apache.org/jira/browse/KYLIN-3537?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shaofeng SHI reassigned KYLIN-3537:
-----------------------------------

    Assignee:     (was: Lijun Cao)

> Use Spark to build Cube on Yarn faild at Setp8 on HDP3.0
> --------------------------------------------------------
>
>                 Key: KYLIN-3537
>                 URL: https://issues.apache.org/jira/browse/KYLIN-3537
>             Project: Kylin
>          Issue Type: Bug
>         Environment: HDP3.0
>            Reporter: Lijun Cao
>            Priority: Major
>             Fix For: v2.6.1
>
>         Attachments: KYLIN-3537.master.001.patch
>
>
> *The log on Yarn:*
> 18/09/05 03:34:00 INFO scheduler.DAGScheduler: Job 0 failed: 
> saveAsNewAPIHadoopDataset at SparkCubeHFile.java:227, took 13.734642 s
> 18/09/05 03:34:00 ERROR yarn.ApplicationMaster: User class threw exception: 
> java.lang.RuntimeException: error execute 
> org.apache.kylin.storage.hbase.steps.SparkCubeHFile
> java.lang.RuntimeException: error execute 
> org.apache.kylin.storage.hbase.steps.SparkCubeHFile
>       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$$anon$2.run(ApplicationMaster.scala:636)
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: 
> Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in 
> stage 1.0 (TID 14, ignite02.com, executor 2): java.lang.NoClassDefFoundError: 
> org/apache/hadoop/hbase/io/hfile/HFileWriterImpl
>       at 
> org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2.createRecordWriter(HFileOutputFormat2.java:209)
>       at 
> org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2.getRecordWriter(HFileOutputFormat2.java:181)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1119)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1102)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
>       at org.apache.spark.scheduler.Task.run(Task.scala:99)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>       at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
>       at 
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
>       at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>       at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>       at 
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
>       at scala.Option.foreach(Option.scala:257)
>       at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
>       at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>       at 
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
>       at org.apache.spark.SparkContext.runJob(SparkContext.scala:1928)
>       at org.apache.spark.SparkContext.runJob(SparkContext.scala:1941)
>       at org.apache.spark.SparkContext.runJob(SparkContext.scala:1961)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1158)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1085)
>       at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>       at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>       at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
>       at 
> org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1085)
>       at 
> org.apache.spark.api.java.JavaPairRDD.saveAsNewAPIHadoopDataset(JavaPairRDD.scala:831)
>       at 
> org.apache.kylin.storage.hbase.steps.SparkCubeHFile.execute(SparkCubeHFile.java:227)
>       at 
> org.apache.kylin.common.util.AbstractApplication.execute(AbstractApplication.java:37)
>       ... 6 more
> Caused by: java.lang.NoClassDefFoundError: 
> org/apache/hadoop/hbase/io/hfile/HFileWriterImpl
>       at 
> org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2.createRecordWriter(HFileOutputFormat2.java:209)
>       at 
> org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2.getRecordWriter(HFileOutputFormat2.java:181)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1119)
>       at 
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1102)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
>       at org.apache.spark.scheduler.Task.run(Task.scala:99)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>       at java.lang.Thread.run(Thread.java:745)
> *The Spark submission command is:*
> export HADOOP_CONF_DIR=/usr/hdp/3.0.0.0-1634/hadoop/conf && 
> /root/apache-kylin-2.5.0-SNAPSHOT-bin/spark/bin/spark-submit 
> --class org.apache.kylin.common.util.SparkEntry  
> --conf spark.executor.instances=40  
> --conf spark.yarn.queue=default  
> --conf spark.yarn.am.extraJavaOptions=-Dhdp.version=current  
> --conf spark.history.fs.logDirectory=hdfs:///kylin/spark-history  
> --conf spark.driver.extraJavaOptions=-Dhdp.version=current  
> --conf spark.master=yarn  
> --conf spark.executor.extraJavaOptions=-Dhdp.version=current  
> --conf spark.hadoop.yarn.timeline-service.enabled=false  
> --conf spark.executor.memory=4G  
> --conf spark.eventLog.enabled=true  
> --conf spark.eventLog.dir=hdfs:///kylin/spark-history  
> --conf spark.yarn.executor.memoryOverhead=1024  
> --conf spark.driver.memory=2G  
> --conf spark.submit.deployMode=cluster  
> --conf spark.shuffle.service.enabled=true 
> --jars 
> /usr/hdp/3.0.0.0-1634/hbase/lib/hbase-common-2.0.0.3.0.0.0-1634.jar,/usr/hdp/3.0.0.0-1634/hbase/lib/hbase-mapreduce-2.0.0.3.0.0.0-1634.jar,/usr/hdp/3.0.0.0-1634/hbase/lib/hbase-client-2.0.0.3.0.0.0-1634.jar,/usr/hdp/3.0.0.0-1634/hbase/lib/hbase-protocol-2.0.0.3.0.0.0-1634.jar,/usr/hdp/3.0.0.0-1634/hbase/lib/hbase-hadoop-compat-2.0.0.3.0.0.0-1634.jar,/usr/hdp/3.0.0.0-1634/hbase/lib/htrace-core-3.2.0-incubating.jar,
>  /root/apache-kylin-2.5.0-SNAPSHOT-bin/lib/kylin-job-2.5.0-SNAPSHOT.jar 
> -className org.apache.kylin.storage.hbase.steps.SparkCubeHFile 
> -output 
> hdfs://ignite01.com:8020/kylin/kylin_metadata/kylin-2fd7b157-a6af-72fa-5a25-350e92056b20/kylin_sales_cube_clone_spark/hfile
>  
> -partitions 
> hdfs://ignite01.com:8020/kylin/kylin_metadata/kylin-2fd7b157-a6af-72fa-5a25-350e92056b20/kylin_sales_cube_clone_spark/rowkey_stats/part-r-00000_hfile
>  
> -input 
> hdfs://ignite01.com:8020/kylin/kylin_metadata/kylin-2fd7b157-a6af-72fa-5a25-350e92056b20/kylin_sales_cube_clone_spark/cuboid/
>  
> -segmentId 8588caa3-df7f-5176-aeda-2ef6642b9698 
> -metaUrl 
> kylin_metadata@hdfs,path=hdfs://ignite01.com:8020/kylin/kylin_metadata/kylin-2fd7b157-a6af-72fa-5a25-350e92056b20/kylin_sales_cube_clone_spark/metadata
>  
> -cubename kylin_sales_cube_clone_spark -hbaseConfPath 
> hdfs://ignite01.com:8020/kylin/kylin_metadata/kylin-2fd7b157-a6af-72fa-5a25-350e92056b20/hbase-conf.xml



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to