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https://issues.apache.org/jira/browse/FLINK-2357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14680710#comment-14680710
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ASF GitHub Bot commented on FLINK-2357:
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GitHub user ebautistabar opened a pull request:
https://github.com/apache/flink/pull/1006
[FLINK-2357] Update Node installation instructions
I had some trouble installing Node while following the README. Apparently,
from now on they are going to use a different PPA. Maybe it would be best to
update the instructions and just point to
https://github.com/joyent/node/wiki/installing-node.js-via-package-manager
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ebautistabar/flink update_node_instructions
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/1006.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1006
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commit 7da80d1b130f273f21085614226b036284640e8b
Author: Enrique Bautista <[email protected]>
Date: 2015-08-10T20:19:39Z
[FLINK-2357] Update Node installation instructions
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> New JobManager Runtime Web Frontend
> -----------------------------------
>
> Key: FLINK-2357
> URL: https://issues.apache.org/jira/browse/FLINK-2357
> Project: Flink
> Issue Type: New Feature
> Components: Webfrontend
> Affects Versions: 0.10
> Reporter: Stephan Ewen
> Attachments: Webfrontend Mockup.pdf
>
>
> We need to improve rework the Job Manager Web Frontend.
> The current web frontend is limited and has a lot of design issues
> - It does not display and progress while operators are running. This is
> especially problematic for streaming jobs
> - It has no graph representation of the data flows
> - it does not allow to look into execution attempts
> - it has no hook to deal with the upcoming live accumulators
> - The architecture is not very modular/extensible
> I propose to add a new JobManager web frontend:
> - Based on Netty HTTP (very lightweight)
> - Using rest-style URLs for jobs and vertices
> - integrating the D3 graph renderer of the previews with the runtime monitor
> - with details on execution attempts
> - first class visualization of records processed and bytes processed
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