rdd save to orc file happened problems

["446463844@qq.com" <44...@qq.com>]

Hi:
 when I run mine program on spark tody,I meet a error and there is no error before this.
I pick the stack snippet below
``````````````````````````````````````````````````````````````````````` 
17/02/08 17:24:14 ERROR InsertIntoHadoopFsRelation: Aborting job.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 4.0 failed 4 times, most recent failure: Lost task 3.3 in stage 4.0 (TID 10, datanode04): ExecutorLostFailure (executor 5 exited caused by one of the running tasks) Reason: Container marked as failed: container_1486386197704_13580_02_357430 on host: datanode04. Exit status: 143. Diagnostics: Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
Killed by external signal
Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1922)
	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:148)
	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106)
	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
	at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:106)
	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58)
	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56)
	at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)
	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
	at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:256)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139)
	at com.snqu.sndo.dmp.hbasesparktest.UserTagSmoothMake.saveRdd(UserTagSmoothMake.scala:203)
	at com.snqu.sndo.dmp.hbasesparktest.UserTagSmoothMake.doAction(UserTagSmoothMake.scala:40)
	at com.snqu.sndo.dmp.hbasesparktest.LabelSmooth$.main(LabelSmooth.scala:54)
	at com.snqu.sndo.dmp.hbasesparktest.LabelSmooth.main(LabelSmooth.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:558)``````````````````````````````````````````````````````````````````````````````````````````````I found at com.snqu.sndo.dmp.hbasesparktest.UserTagSmoothMake.saveRdd(UserTagSmoothMake.scala:203)and I check the code and found```result.toDF().write.mode(SaveMode.Overwrite).format("orc").save("/user/hive/warehouse/kylinlabel.db/user_tag")```result is a rdd.it seems the spark rdd convert to df error?


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