Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGSchedul

最新推荐文章于 2022-03-24 10:50:48 发布
最新推荐文章于 2022-03-24 10:50:48 发布
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文章标签： 大数据 scala
原文链接：http://www.cnblogs.com/chenligeng/p/9434050.html
本文记录了一个Spark程序在处理数据过程中遇到的问题及原因分析。作者在处理仅一万条数据时遇到了程序中断的情况，通过堆栈跟踪发现是由于数据量过大导致的。

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在写Spark程序是遇到问题

Driver stacktrace:

      at org.apache.spark.scheduler.DAGScheduler.orgapacheapachesparkschedulerschedulerDAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)

 

这个原因是因为数据过大,而中断(我的天,坑死我了,只有一万条数据啊)

转载于:https://www.cnblogs.com/chenligeng/p/9434050.html

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Diagnostics: 3010b5205.cloud.b7.am301 Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1599) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) ~[scala-library-2.11.8.jar:?] at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) ~[scala-library-2.11.8.jar:?] at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at scala.Option.foreach(Option.scala:257) ~[scala-library-2.11.8.jar:?] at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067) ~[spark-core_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:368) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3272) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3253) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3252) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.head(Dataset.scala:2484) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.take(Dataset.scala:2698) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.showString(Dataset.scala:254) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.show(Dataset.scala:725) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at org.apache.spark.sql.Dataset.show(Dataset.scala:702) ~[spark-sql_2.11-2.3.0-odps0.30.0.jar:?] at com.bmsoft.operate.VsZConductorOverlimiteventPeriod.ConductorconductorOverlimiteventInfo(VsZConductorOverlimiteventPeriod.scala:181) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.operate.VsZConductorOverlimiteventPeriod.conductorOverlimiteventInfo(VsZConductorOverlimiteventPeriod.scala:46) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$.func(VsZConductorOverlimiteventPeriodTask.scala:29) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$$anonfun$main$1.apply(VsZConductorOverlimiteventPeriodTask.scala:33) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$$anonfun$main$1.apply(VsZConductorOverlimiteventPeriodTask.scala:33) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply$mcVJ$sp(LeoUtils.scala:453) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply(LeoUtils.scala:431) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply(LeoUtils.scala:431) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at scala.collection.immutable.NumericRange.foreach(NumericRange.scala:73) ~[scala-library-2.11.8.jar:?] at com.bmsoft.scala.utils.LeoUtils.package$.taskEntry_odps(LeoUtils.scala:431) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$.main(VsZConductorOverlimiteventPeriodTask.scala:33) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask.main(VsZConductorOverlimiteventPeriodTask.scala) ~[_ed7dd58644e462c4a5e1b90cb86197da.jar:?] at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[?:1.8.0_65-AliJVM] at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[?:1.8.0_65-AliJVM] at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:1.8.0_65-AliJVM] at java.lang.reflect.Method.invoke(Method.java:497) ~[?:1.8.0_65-AliJVM] at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$4.run(ApplicationMaster.scala:708) [spark-yarn_2.11-2.3.0-odps0.30.0.jar:?] 2025-08-04 08:55:31,908 INFO org.apache.spark.deploy.yarn.ApplicationMaster - Final app status: FAILED, exitCode: 15, (reason: User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 25.0 failed 4 times, most recent failure: Lost task 0.3 in stage 25.0 (TID 2364, 3010b5205.cloud.b7.am301, executor 11): ExecutorLostFailure (executor 11 exited caused by one of the running tasks) Reason: Container marked as failed: container_1754267297905_2080247398_01_000011 on host: 3010b5205.cloud.b7.am301. Exit status: 137. Diagnostics: 3010b5205.cloud.b7.am301 Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1599) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:368) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3272) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484) at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3253) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3252) at org.apache.spark.sql.Dataset.head(Dataset.scala:2484) at org.apache.spark.sql.Dataset.take(Dataset.scala:2698) at org.apache.spark.sql.Dataset.showString(Dataset.scala:254) at org.apache.spark.sql.Dataset.show(Dataset.scala:725) at org.apache.spark.sql.Dataset.show(Dataset.scala:702) at com.bmsoft.operate.VsZConductorOverlimiteventPeriod.ConductorconductorOverlimiteventInfo(VsZConductorOverlimiteventPeriod.scala:181) at com.bmsoft.operate.VsZConductorOverlimiteventPeriod.conductorOverlimiteventInfo(VsZConductorOverlimiteventPeriod.scala:46) at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$.func(VsZConductorOverlimiteventPeriodTask.scala:29) at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$$anonfun$main$1.apply(VsZConductorOverlimiteventPeriodTask.scala:33) at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$$anonfun$main$1.apply(VsZConductorOverlimiteventPeriodTask.scala:33) at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply$mcVJ$sp(LeoUtils.scala:453) at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply(LeoUtils.scala:431) at com.bmsoft.scala.utils.LeoUtils.package$$anonfun$taskEntry_odps$1.apply(LeoUtils.scala:431) at scala.collection.immutable.NumericRange.foreach(NumericRange.scala:73) at com.bmsoft.scala.utils.LeoUtils.package$.taskEntry_odps(LeoUtils.scala:431) at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask$.main(VsZConductorOverlimiteventPeriodTask.scala:33) at com.bmsoft.task.VsZConductorOverlimiteventPeriodTask.main(VsZConductorOverlimiteventPeriodTask.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$4.run(ApplicationMaster.scala:708) ) 表中当日一共有1个亿的数据
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