flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-5815) Add resource files configuration for Yarn Mode
Date Fri, 21 Apr 2017 18:13:04 GMT

    [ https://issues.apache.org/jira/browse/FLINK-5815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15979160#comment-15979160
] 

ASF GitHub Bot commented on FLINK-5815:
---------------------------------------

Github user EronWright commented on the issue:

    https://github.com/apache/flink/pull/3388
  
    Just a note: For Mesos, inevitably we'll add support for arbitrary URLs to be downloaded
by the container.   The Mesos fetcher deals with HTTP URLs primarily but actually supports
HDFS URLs too (if configured; seems rarely used).
    
    Stepping back, we need the clustering layer to converge because supporting these features
in a one-off way is becoming unsustainable.


> 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)

Mime
View raw message