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Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2016/11/21 22:02:58 UTC
[jira] [Commented] (SPARK-18512) FileNotFoundException on
_temporary directory with Spark Streaming 2.0.1 and S3A
[ https://issues.apache.org/jira/browse/SPARK-18512?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15684863#comment-15684863 ]
Shixiong Zhu commented on SPARK-18512:
--------------------------------------
Did you enable speculation?
> FileNotFoundException on _temporary directory with Spark Streaming 2.0.1 and S3A
> --------------------------------------------------------------------------------
>
> Key: SPARK-18512
> URL: https://issues.apache.org/jira/browse/SPARK-18512
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.0.1
> Environment: AWS EMR 5.0.1
> Spark 2.0.1
> S3 EU-West-1 (S3A with read-after-write consistency)
> Reporter: Giuseppe Bonaccorso
>
> After a few hours of streaming processing and data saving in Parquet format, I got always this exception:
> {code:java}
> java.io.FileNotFoundException: No such file or directory: s3a://xxx/_temporary/0/task_xxxx
> at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus(S3AFileSystem.java:1004)
> at org.apache.hadoop.fs.s3a.S3AFileSystem.listStatus(S3AFileSystem.java:745)
> at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:426)
> at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:362)
> 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$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at org.apache.spark.sql.execution.SparkPlan$$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:510)
> 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)
> {code}
> I've tried also s3:// and s3n:// but it always happens after a 3-5 hours.
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