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ASF GitHub Bot commented on FLINK-5815: --------------------------------------- Github user tillrohrmann commented on a diff in the pull request: https://github.com/apache/flink/pull/3388#discussion_r103197159 --- Diff: flink-yarn/src/main/java/org/apache/flink/yarn/Utils.java --- @@ -136,21 +137,36 @@ public static Path setupLocalResource( Path homedir) throws IOException { // copy resource to HDFS - String suffix = ".flink/" + appId + "/" + localRsrcPath.getName(); - - Path dst = new Path(homedir, suffix); + Path dst = getRemoteResourceRoot(appId, localRsrcPath, homedir); LOG.info("Copying from " + localRsrcPath + " to " + dst); fs.copyFromLocalFile(localRsrcPath, dst); registerLocalResource(fs, dst, appMasterJar); return dst; } + public static Path getRemoteResourceRoot( --- End diff -- Maybe it's better called `getRemoteResourcePath` > 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)