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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_r103197726 --- Diff: flink-yarn/src/main/java/org/apache/flink/yarn/AbstractYarnClusterDescriptor.java --- @@ -131,6 +134,8 @@ /** Lazily initialized list of files to ship */ protected List<File> shipFiles = new LinkedList<>(); + private List<URI> archives = new LinkedList<>(); --- End diff -- `LinkedLists` are not so fast. Better to use an `ArrayList` and initialize it with an initial capacity. > 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)