[ https://issues.apache.org/jira/browse/KYLIN-4360?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
kylin closed KYLIN-4360. ------------------------ Resolution: Fixed 修改cdh的dfs.client.datanode-restart.timeout 为30 ,重启集群,分发配置文件,重启服务酒可以,非常感谢! > 使用spark引擎构建cube失败 > ----------------- > > Key: KYLIN-4360 > URL: https://issues.apache.org/jira/browse/KYLIN-4360 > Project: Kylin > Issue Type: Bug > Environment: 我使用得是CDH 6.3.2 得hadoop 集群 kylin > 版本使用得是apache-kylin-3.0.0-bin-cdh60 > Reporter: kylin > Priority: Major > > 我使用得是CDH 6.3.2 得hadoop 集群 kylin 版本使用得是apache-kylin-3.0.0-bin-cdh60 > 使用mr引擎构建cube成功,选择spark引擎失败,报错如下:#8 Step Name: Convert Cuboid Data to HFile > Duration: 0.59 mins Waiting: 0 seconds > client token: N/A > diagnostics: User class threw exception: java.lang.RuntimeException: error > execute org.apache.kylin.storage.hbase.steps.SparkCubeHFile. Root cause: Job > aborted. > 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$$anon$4.run(ApplicationMaster.scala:721) > Caused by: org.apache.spark.SparkException: Job aborted. > at > org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:100) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1083) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1081) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1081) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) > at > org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1081) > at > org.apache.spark.api.java.JavaPairRDD.saveAsNewAPIHadoopDataset(JavaPairRDD.scala:831) > at > org.apache.kylin.storage.hbase.steps.SparkCubeHFile.execute(SparkCubeHFile.java:238) > at > org.apache.kylin.common.util.AbstractApplication.execute(AbstractApplication.java:37) > ... 6 more > Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: > Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in > stage 1.0 (TID 7, prod-bigdata-server-02, executor 1): > java.lang.NumberFormatException: For input string: "30s" > at > java.lang.NumberFormatException.forInputString(NumberFormatException.java:65) > at java.lang.Long.parseLong(Long.java:589) > at java.lang.Long.parseLong(Long.java:631) > at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:1311) > at org.apache.hadoop.hdfs.DFSClient$Conf.<init>(DFSClient.java:502) > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:638) > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:619) > at > org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:149) > at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669) > at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) > at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.<init>(FileOutputCommitter.java:113) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.<init>(FileOutputCommitter.java:88) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.getOutputCommitter(FileOutputFormat.java:309) > at > org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupCommitter(HadoopMapReduceCommitProtocol.scala:100) > at > org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupTask(HadoopMapReduceCommitProtocol.scala:217) > at > org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:117) > at > org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:83) > at > org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1651) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1639) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1638) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1638) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1872) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1821) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1810) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2087) > at > org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:78) > ... 16 more > Caused by: java.lang.NumberFormatException: For input string: "30s" > at > java.lang.NumberFormatException.forInputString(NumberFormatException.java:65) > at java.lang.Long.parseLong(Long.java:589) > at java.lang.Long.parseLong(Long.java:631) > at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:1311) > at org.apache.hadoop.hdfs.DFSClient$Conf.<init>(DFSClient.java:502) > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:638) > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:619) > at > org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:149) > at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669) > at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) > at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.<init>(FileOutputCommitter.java:113) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.<init>(FileOutputCommitter.java:88) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.getOutputCommitter(FileOutputFormat.java:309) > at > org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupCommitter(HadoopMapReduceCommitProtocol.scala:100) > at > org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupTask(HadoopMapReduceCommitProtocol.scala:217) > at > org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:117) > at > org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:83) > at > org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > ApplicationMaster host: 10.3.13.2 > ApplicationMaster RPC port: 0 > queue: root.users.kylin > start time: 1579771783420 > final status: FAILED > tracking URL: > http://prod-bigdata-server-01:8088/proxy/application_1579520750792_0230/ > user: kylin > Exception in thread "main" org.apache.spark.SparkException: Application > application_1579520750792_0230 finished with failed status > at org.apache.spark.deploy.yarn.Client.run(Client.scala:1165) > at > org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1520) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:894) > at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > 2020-01-23 17:30:09 INFO ShutdownHookManager:54 - Shutdown hook called > 2020-01-23 17:30:09 INFO ShutdownHookManager:54 - Deleting directory > /tmp/spark-4cae4b51-6197-4cac-8fed-d82a8744f00d > 2020-01-23 17:30:09 INFO ShutdownHookManager:54 - Deleting directory > /tmp/spark-6142de85-bba3-43e7-8a0d-5ea198636f94 > The command is: > export HADOOP_CONF_DIR=/data/kylin/hadoop_conf && > /data/kylin/spark/bin/spark-submit --class > org.apache.kylin.common.util.SparkEntry --name "Convert Cuboid Data to HFile" > --conf spark.executor.cores=2 --conf > spark.hadoop.yarn.timeline-service.enabled=false --conf > spark.hadoop.mapreduce.output.fileoutputformat.compress.codec=org.apache.hadoop.io.compress.DefaultCodec > --conf spark.master=yarn --conf > spark.hadoop.mapreduce.output.fileoutputformat.compress=true --conf > spark.executor. -- This message was sent by Atlassian Jira (v8.3.4#803005)