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Posted to common-issues@hadoop.apache.org by "$iddhe$h Divekar (JIRA)" <ji...@apache.org> on 2016/07/21 19:04:20 UTC
[jira] [Comment Edited] (HADOOP-11487) FileNotFound on distcp to
s3n/s3a due to creation inconsistency
[ https://issues.apache.org/jira/browse/HADOOP-11487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15388227#comment-15388227 ]
$iddhe$h Divekar edited comment on HADOOP-11487 at 7/21/16 7:03 PM:
--------------------------------------------------------------------
Hi,
We are processing data on US west and still seeing consistency issue.
As per forums US west should not be having consistency issue but we
are doing update of a table. Not sure if 'read-after-write' consistency
will take care of 'read-after-update' consistency also.
Will 9565 help us here.
Below is the back trace of the issue we are seeing when we
write some tables in parquet format from Apache Spark to S3n.
org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:154)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$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$$anonfun$execute$5.apply(SparkPlan.scala:130)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
at org.apache.spark.sql.DataFrameWriter.insertInto(DataFrameWriter.scala:189)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:239)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:221)
at com.foo.vAnalytics.xyz_load$.main(xyz_load.scala:130)
at com.foo.vAnalytics.xyz_load.main(xyz_load.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
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$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
at org.apache.oozie.action.hadoop.SparkMain.runSpark(SparkMain.java:104)
at org.apache.oozie.action.hadoop.SparkMain.run(SparkMain.java:95)
at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:47)
at org.apache.oozie.action.hadoop.SparkMain.main(SparkMain.java:38)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:236)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
at org.apache.hadoop.mapred.LocalContainerLauncher$SubtaskRunner.runSubtask(LocalContainerLauncher.java:317)
at org.apache.hadoop.mapred.LocalContainerLauncher$SubtaskRunner.run(LocalContainerLauncher.java:232)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.FileNotFoundException: File s3n://foo-hive/warehouse/fooabcxyz0719/_temporary/0/task_201607210010_0005_m_000041 does not exist.
at org.apache.hadoop.fs.s3native.NativeS3FileSystem.listStatus(NativeS3FileSystem.java:506)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:360)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:310)
at org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:46)
at org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:230)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:149)
... 42 more
2016-07-21 00:22:54,370 WARN ParameterVerifier:523 - SERVER[ip-10-0-0-136.us-west-2.compute.internal] USER[root] GROUP[-] TOKEN[] APP[spark-coord] JOB[0000096-160719225831887-oozie-root-C] ACTION[0000096-1607192\
25831887-oozie-root-C@3] The application does not define formal parameters in its XML definition
was (Author: $iddhe$h):
Hi,
We are processing data on US west and still seeing consistency issue.
As per forums US west should not be having consistency issue but we
are doing update of a table. Not sure if 'read-after-write' consistency
will take care of 'read-after-update' consistency also.
Will 9565 help us here.
Below is the back trace of the issue we are seeing.
org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:154)
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$lzycompute(QueryExecution.scala:55)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
at org.apache.spark.sql.DataFrameWriter.insertInto(DataFrameWriter.scala:189)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:239)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:221)
at com.foo.vAnalytics.xyz_load$.main(xyz_load.scala:130)
at com.foo.vAnalytics.xyz_load.main(xyz_load.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:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
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)
at org.apache.oozie.action.hadoop.SparkMain.runSpark(SparkMain.java:104)
at org.apache.oozie.action.hadoop.SparkMain.run(SparkMain.java:95)
at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:47)
at org.apache.oozie.action.hadoop.SparkMain.main(SparkMain.java:38)
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:606)
at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:236)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:430)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342)
at org.apache.hadoop.mapred.LocalContainerLauncher$SubtaskRunner.runSubtask(LocalContainerLauncher.java:317)
at org.apache.hadoop.mapred.LocalContainerLauncher$SubtaskRunner.run(LocalContainerLauncher.java:232)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.FileNotFoundException: File s3n://foo-hive/warehouse/fooabcxyz0719/_temporary/0/task_201607210010_0005_m_000041 does not exist.
at org.apache.hadoop.fs.s3native.NativeS3FileSystem.listStatus(NativeS3FileSystem.java:506)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:360)
at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:310)
at org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:46)
at org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:230)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:149)
... 42 more
2016-07-21 00:22:54,370 WARN ParameterVerifier:523 - SERVER[ip-10-0-0-136.us-west-2.compute.internal] USER[root] GROUP[-] TOKEN[] APP[spark-coord] JOB[0000096-160719225831887-oozie-root-C] ACTION[0000096-1607192\
25831887-oozie-root-C@3] The application does not define formal parameters in its XML definition
> FileNotFound on distcp to s3n/s3a due to creation inconsistency
> ----------------------------------------------------------------
>
> Key: HADOOP-11487
> URL: https://issues.apache.org/jira/browse/HADOOP-11487
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs, fs/s3
> Affects Versions: 2.7.2
> Reporter: Paulo Motta
>
> I'm trying to copy a large amount of files from HDFS to S3 via distcp and I'm getting the following exception:
> {code:java}
> 2015-01-16 20:53:18,187 ERROR [main] org.apache.hadoop.tools.mapred.CopyMapper: Failure in copying hdfs://10.165.35.216/hdfsFolder/file.gz to s3n://s3-bucket/file.gz
> java.io.FileNotFoundException: No such file or directory 's3n://s3-bucket/file.gz'
> at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:445)
> at org.apache.hadoop.tools.util.DistCpUtils.preserve(DistCpUtils.java:187)
> at org.apache.hadoop.tools.mapred.CopyMapper.map(CopyMapper.java:233)
> at org.apache.hadoop.tools.mapred.CopyMapper.map(CopyMapper.java:45)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
> at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)
> 2015-01-16 20:53:18,276 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : java.io.FileNotFoundException: No such file or directory 's3n://s3-bucket/file.gz'
> at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:445)
> at org.apache.hadoop.tools.util.DistCpUtils.preserve(DistCpUtils.java:187)
> at org.apache.hadoop.tools.mapred.CopyMapper.map(CopyMapper.java:233)
> at org.apache.hadoop.tools.mapred.CopyMapper.map(CopyMapper.java:45)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
> at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:167)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
> at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:162)
> {code}
> However, when I try hadoop fs -ls s3n://s3-bucket/file.gz the file is there. So probably due to Amazon's S3 eventual consistency the job failure.
> In my opinion, in order to fix this problem NativeS3FileSystem.getFileStatus must use fs.s3.maxRetries property in order to avoid failures like this.
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