【spark exception】org.apache.spark.SparkException java.lang.ArrayIndexOutOfBoundsException 造成数组越界

忘是亡心i 2021-12-20 13:33 472阅读 0赞

**【spark exception】org.apache.spark.SparkException  java.lang.ArrayIndexOutOfBoundsException 造成数组越界**

**当执行以下spark-sql是时候**

> insert overwrite table hive\_user\_income\_detail\_daily partition (pday='20190620',is\_data\_return='1')
> 
> **select** rr.user\_id,rr.src,rr.app\_id,rr.type,rr.create\_time,rr.product\_code
> 
> from tmp\_hive\_user\_income\_table rr

**原因分析及解决办法：**

insert overwrite table的 hive\_user\_income\_detail\_daily 这个表的建表字段数目必须和tmp\_hive\_user\_income\_table的字段数目保持一致

经过确认，hive\_user\_income\_detail\_daily有7个字段（除两个分区字段外），而select 语句中只给出了6个字段，所以将缺少的那个字段手动添加上默认值就可以正常运行啦

**详细报错信息如下：**

> 19/06/28 16:03:14 ERROR LzoCodec: Failed to load/initialize native-lzo library  
> \[Stage 19:======>                                              (52 + 121) / 401\]19/06/28 16:04:31 ERROR TaskSetManager: Task 53 in stage 19.0 failed 4 times; aborting job  
> 19/06/28 16:04:31 ERROR SparkHiveShell: Failed: Error   
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 53 in stage 19.0 failed 4 times, most recent failure: Lost task 53.3 in stage 19.0 (TID 3424, 10.160.147.93): java.lang.ArrayIndexOutOfBoundsException: 11  
>     at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.genericGet(rows.scala:254)  
>     at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getAs(rows.scala:35)  
>     at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.isNullAt(rows.scala:36)  
>     at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.isNullAt(rows.scala:248)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$writeToFile$1$1.apply(SaveAsHiveFile.scala:113)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$writeToFile$1$1.apply(SaveAsHiveFile.scala:110)  
>     at scala.collection.Iterator$class.foreach(Iterator.scala:727)  
>     at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$class.writeToFile$1(SaveAsHiveFile.scala:110)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$saveAsHiveFile$5.apply(SaveAsHiveFile.scala:91)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$saveAsHiveFile$5.apply(SaveAsHiveFile.scala:91)  
>     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)  
>     at org.apache.spark.scheduler.Task.run(Task.scala:89)  
>     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)  
>     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)  
>     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)  
>     at java.lang.Thread.run(Thread.java:724)  
> Driver stacktrace:  
>     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1475)  
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1463)  
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1462)  
>     at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)  
>     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)  
>     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1462)  
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:843)  
>     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:843)  
>     at scala.Option.foreach(Option.scala:236)  
>     at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:843)  
>     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1684)  
>     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1643)  
>     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1632)  
>     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)  
>     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:664)  
>     at org.apache.spark.SparkContext.runJob(SparkContext.scala:1844)  
>     at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)  
>     at org.apache.spark.SparkContext.runJob(SparkContext.scala:1933)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$class.saveAsHiveFile(SaveAsHiveFile.scala:91)  
>     at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.saveAsHiveFile(InsertIntoHiveTable.scala:50)  
>     at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult$lzycompute(InsertIntoHiveTable.scala:204)  
>     at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult(InsertIntoHiveTable.scala:129)  
>     at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.doExecute(InsertIntoHiveTable.scala:294)  
>     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:135)  
>     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:133)  
>     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)  
>     at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:133)  
>     at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)  
>     at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)  
>     at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)  
>     at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)  
>     at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)  
>     at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$$anonfun$org$apache$spark$sql$hive$xitong$shell$SparkHiveShell$$run$1$1.apply(SparkHiveShell.scala:172)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$$anonfun$org$apache$spark$sql$hive$xitong$shell$SparkHiveShell$$run$1$1.apply(SparkHiveShell.scala:108)  
>     at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)  
>     at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$.org$apache$spark$sql$hive$xitong$shell$SparkHiveShell$$run$1(SparkHiveShell.scala:108)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$.process$1(SparkHiveShell.scala:212)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$.org$apache$spark$sql$hive$xitong$shell$SparkHiveShell$$loop$1(SparkHiveShell.scala:250)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$$anonfun$main$2.apply(SparkHiveShell.scala:58)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$$anonfun$main$2.apply(SparkHiveShell.scala:42)  
>     at scala.Option.map(Option.scala:145)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell$.main(SparkHiveShell.scala:42)  
>     at org.apache.spark.sql.hive.xitong.shell.SparkHiveShell.main(SparkHiveShell.scala)  
>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)  
>     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)  
>     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)  
>     at java.lang.reflect.Method.invoke(Method.java:601)  
>     at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:733)  
>     at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)  
>     at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)  
>     at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)  
>     at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)  
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 11  
>     at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.genericGet(rows.scala:254)  
>     at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getAs(rows.scala:35)  
>     at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.isNullAt(rows.scala:36)  
>     at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.isNullAt(rows.scala:248)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$writeToFile$1$1.apply(SaveAsHiveFile.scala:113)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$writeToFile$1$1.apply(SaveAsHiveFile.scala:110)  
>     at scala.collection.Iterator$class.foreach(Iterator.scala:727)  
>     at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$class.writeToFile$1(SaveAsHiveFile.scala:110)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$saveAsHiveFile$5.apply(SaveAsHiveFile.scala:91)  
>     at org.apache.spark.sql.hive.SaveAsHiveFile$$anonfun$saveAsHiveFile$5.apply(SaveAsHiveFile.scala:91)  
>     at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)  
>     at org.apache.spark.scheduler.Task.run(Task.scala:89)  
>     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)  
>     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)  
>     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)  
>     at java.lang.Thread.run(Thread.java:724)  
> \[Stage 19:======>                                              (52 + 122) / 401\]Moved to trash: /home/spark/cache/hdp-jinke-data/.sparkStaging/application\_1556532226104\_2105277  
> 19/06/28 16:04:34 ERROR YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!