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https://issues.apache.org/jira/browse/SPARK-15487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15599856#comment-15599856
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Cédric Hernalsteens commented on SPARK-15487:
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I'm glad to see that the PR went through.
However I'm not sure how this is supposed to work.
The Master webui gives me this :
worker-20161023152840-172.28.0.8-42846 linking to the internal docker IP.
So I tried to access the worker UI from
http://spark-master-public-ip/worker-20161023152840-172.28.0.8-42846
http://spark-master-public-ip/target/worker-20161023152840-172.28.0.8-42846
http://spark-master-public-ip/target/20161023152840-172.28.0.8-42846
(from what I read in the discussion the last one should have been correct)
However I'm stuck at the master's webui.
I'm running 2.1.0 latest nightly build
http://people.apache.org/~pwendell/spark-nightly/spark-master-bin/latest/
> Spark Master UI to reverse proxy Application and Workers UI
> -----------------------------------------------------------
>
> Key: SPARK-15487
> URL: https://issues.apache.org/jira/browse/SPARK-15487
> Project: Spark
> Issue Type: Improvement
> Components: Web UI
> Affects Versions: 1.6.0, 1.6.1
> Reporter: Gurvinder
> Assignee: Gurvinder
> Priority: Minor
> Fix For: 2.1.0
>
>
> Currently when running in Standalone mode, Spark UI's link to workers and
> application drivers are pointing to internal/protected network endpoints. So
> to access workers/application UI user's machine has to connect to VPN or need
> to have access to internal network directly.
> Therefore the proposal is to make Spark master UI reverse proxy this
> information back to the user. So only Spark master UI needs to be opened up
> to internet.
> The minimal changes can be done by adding another route e.g.
> http://spark-master.com/target/<endpoint>/ so when request goes to target,
> ProxyServlet kicks in and takes the <endpoint> and forwards the request to it
> and send response back to user.
> More information about discussions for this features can be found on this
> mailing list thread
> http://apache-spark-developers-list.1001551.n3.nabble.com/spark-on-kubernetes-tc17599.html
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