[
https://issues.apache.org/jira/browse/FLINK-5815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15891876#comment-15891876
]
ASF GitHub Bot commented on FLINK-5815:
---------------------------------------
Github user wenlong88 commented on a diff in the pull request:
https://github.com/apache/flink/pull/3388#discussion_r103878685
--- Diff:
flink-yarn/src/main/java/org/apache/flink/yarn/AbstractYarnClusterDescriptor.java
---
@@ -742,6 +755,24 @@ public FileVisitResult
preVisitDirectory(java.nio.file.Path dir, BasicFileAttrib
}
}
+ for (URI originURI : archives) {
+ Path remoteParent =
Utils.getRemoteResourceRoot(appId.toString(), new Path(originURI.getPath()),
fs.getHomeDirectory());
+ String fragment = originURI.getFragment();
+ Path target = new Path(
+ FileUtils.localizeRemoteFiles(new
org.apache.flink.core.fs.Path(remoteParent.toUri()), originURI).toUri());
+ URI targetURI = target.toUri();
+ if (targetURI.getFragment() == null && fragment !=
null) {
+ targetURI = new URI(target.toUri().toString() +
"#" + fragment);
+ }
+ LocalResource archive =
Records.newRecord(LocalResource.class);
+ FileStatus state = fs.getFileStatus(target);
+ Utils.registerLocalResource(targetURI, state.getLen(),
state.getModificationTime(), archive);
+ localResources.put(fragment, archive);
--- End diff --
fixed.
> Add resource files configuration for Yarn Mode
> ----------------------------------------------
>
> Key: FLINK-5815
> URL: https://issues.apache.org/jira/browse/FLINK-5815
> Project: Flink
> Issue Type: Improvement
> Components: Client, YARN
> Affects Versions: 1.3.0
> Reporter: Wenlong Lyu
> Assignee: Wenlong Lyu
>
> Currently in flink, when we want to setup a resource file to distributed
> cache, we need to make the file accessible remotely by a url, which is often
> difficult to maintain a service like that. What's more, when we want do add
> some extra jar files to job classpath, we need to copy the jar files to blob
> server when submitting the jobgraph. In yarn, especially in flip-6, the blob
> server is not running yet when we try to start a flink job.
> Yarn has a efficient distributed cache implementation for application running
> on it, what's more we can be easily share the files stored in hdfs in
> different application by distributed cache without extra IO operations.
> I suggest to introduce -yfiles, -ylibjars -yarchives options to FlinkYarnCLI
> to enable yarn user setup their job resource files by yarn distributed cache.
> The options is compatible with what is used in mapreduce, which make it easy
> to use for yarn user who generally has experience on using mapreduce.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
