[SPARK-18883] FileNotFoundException on _temporary directory

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Won't Fix
• Affects Version/s: 2.0.2
• Component/s: Spark Core

Environment

We're on a CDH 5.7, Hadoop 2.6.

• Assignee: Unassigned
• Reporter: Mathieu DESPRIEE
• Created: 15/Dec/16 14:59
• Updated: 08/Jan/18 14:26
• Resolved: 08/Jan/18 14:26

Description

I'm experiencing the following exception, usually after some time with heavy load :

16/12/15 11:25:18 ERROR InsertIntoHadoopFsRelationCommand: Aborting job.
java.io.FileNotFoundException: File hdfs://nameservice1/user/xdstore/rfs/rfsDB/_temporary/0 does not exist.
        at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:795)
        at org.apache.hadoop.hdfs.DistributedFileSystem.access$700(DistributedFileSystem.java:106)
        at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:853)
        at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:849)
        at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
        at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:860)
        at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517)
        at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557)
        at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.getAllCommittedTaskPaths(FileOutputCommitter.java:291)
        at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:361)
        at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:334)
        at org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:46)
        at org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:222)
        at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelationCommand.scala:144)
        at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
        at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
        at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
        at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
        at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
        at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
        at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:525)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194)
        at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:488)
        at com.bluedme.woda.ng.indexer.RfsRepository.append(RfsRepository.scala:36)
        at com.bluedme.woda.ng.indexer.RfsRepository.insert(RfsRepository.scala:23)
        at com.bluedme.woda.cmd.ShareDatasetImpl.runImmediate(ShareDatasetImpl.scala:33)
        at com.bluedme.woda.cmd.ShareDatasetImpl.runImmediate(ShareDatasetImpl.scala:13)
        at com.bluedme.woda.cmd.ImmediateCommandImpl$$anonfun$run$1.apply(CommandImpl.scala:21)
        at com.bluedme.woda.cmd.ImmediateCommandImpl$$anonfun$run$1.apply(CommandImpl.scala:21)
        at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
        at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
        at scala.concurrent.impl.ExecutionContextImpl$AdaptedForkJoinTask.exec(ExecutionContextImpl.scala:121)
        at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
        at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
        at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
        at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

Looks similar to SPARK-18512 although it's not the same environment : no streaming, no S3 here. Final path in stack different.

Issue Links

• relates to: SPARK-18512 FileNotFoundException on _temporary directory with Spark Streaming 2.0.1 and S3A
• relates to: HADOOP-13345 S3Guard: Improved Consistency for S3A
• relates to: HADOOP-13786 Add S3A committers for zero-rename commits to S3 endpoints