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Posted to issues@kylin.apache.org by "ASF subversion and git services (Jira)" <ji...@apache.org> on 2019/12/09 09:47:00 UTC
[jira] [Commented] (KYLIN-3537) Use Spark to build Cube on Yarn
faild at Setp8 on HDP3.0
[ https://issues.apache.org/jira/browse/KYLIN-3537?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16991429#comment-16991429 ]
ASF subversion and git services commented on KYLIN-3537:
--------------------------------------------------------
Commit 6d48885c1fa6783cd86748f3b8f9da48505e0dd0 in kylin's branch refs/heads/master-hadoop3.1 from alexandr.sidorchuk
[ https://gitbox.apache.org/repos/asf?p=kylin.git;h=6d48885 ]
KYLIN-3537
Use Spark to build Cube on Yarn faild at Setp8 on HDP3.0
add HBase dependicies to avoid java.lang.NoClassDefFoundError
Signed-off-by: shaofengshi <sh...@apache.org>
> 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
> Assignee: Alexander
> 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
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