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Posted to issues@spark.apache.org by "Albert Chu (JIRA)" <ji...@apache.org> on 2017/07/29 15:42:00 UTC

[jira] [Comment Edited] (SPARK-21570) File __spark_libs__XXX.zip does not exist on networked file system w/ yarn

    [ https://issues.apache.org/jira/browse/SPARK-21570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16106157#comment-16106157 ] 

Albert Chu edited comment on SPARK-21570 at 7/29/17 3:41 PM:
-------------------------------------------------------------

The file was confirmed to show up, although at the time I did not confirm permissions.  Ran a test today and confirmed permissions were valid (assuming "-rw-r--r--" is valid).

Fair enough if yarn w/ non-HDFS is not supported.  FWIW this test has passed since Spark 2.0.


was (Author: chu11):
The file was confirmed to show up, although at the time I did not confirm permissions.  Ran a test today and confirmed permissions were valid (assuming -rw-r--r-- is valid).

Fair enough if yarn w/ non-HDFS is not supported.  FWIW this test has passed since Spark 2.0.

> File __spark_libs__XXX.zip does not exist on networked file system w/ yarn
> --------------------------------------------------------------------------
>
>                 Key: SPARK-21570
>                 URL: https://issues.apache.org/jira/browse/SPARK-21570
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 2.2.0
>            Reporter: Albert Chu
>
> I have a set of scripts that run Spark with data in a networked file system.  One of my unit tests to make sure things don't break between Spark releases is to simply run a word count (via org.apache.spark.examples.JavaWordCount) on a file in the networked file system.  This test broke with Spark 2.2.0 when I use yarn to launch the job (using the spark standalone scheduler things still work).  I'm currently using Hadoop 2.7.0.  I get the following error:
> {noformat}
> Diagnostics: File file:/p/lcratery/achu/testing/rawnetworkfs/test/1181015/node-0/spark/node-0/spark-292938be-7ae3-460f-aca7-294083ebb790/__spark_libs__695301535722158702.zip does not exist
> java.io.FileNotFoundException: File file:/p/lcratery/achu/testing/rawnetworkfs/test/1181015/node-0/spark/node-0/spark-292938be-7ae3-460f-aca7-294083ebb790/__spark_libs__695301535722158702.zip does not exist
> 	at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:606)
> 	at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:819)
> 	at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:596)
> 	at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
> 	at org.apache.hadoop.yarn.util.FSDownload.copy(FSDownload.java:253)
> 	at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:63)
> 	at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:361)
> 	at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:359)
> 	at java.security.AccessController.doPrivileged(Native Method)
> 	at javax.security.auth.Subject.doAs(Subject.java:422)
> 	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> 	at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:358)
> 	at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:62)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> 	at java.lang.Thread.run(Thread.java:748)
> {noformat}
> While debugging, I sat and watched the directory and did see that /p/lcratery/achu/testing/rawnetworkfs/test/1181015/node-0/spark/node-0/spark-292938be-7ae3-460f-aca7-294083ebb790/__spark_libs__695301535722158702.zip does show up at some point.
> Wondering if it's possible something racy was introduced.  Nothing in the Spark 2.2.0 release notes suggests any type of configuration change that needs to be done.
> Thanks



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