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https://issues.apache.org/jira/browse/ATLAS-2012?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16128853#comment-16128853
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Nigel Jones commented on ATLAS-2012:
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Having considered the switch to berkeley, can I suggest we stick with hbase
*for now* and consider switching in a further jira. WHilst berkeley is more
lightweight and independent of other hadoop components, it brings with it an
additional license concern (gpl). So I propose to leave as hbase.
I'll also note that though I'll change to run the unit tests, currently the
return code from the build isn't checked.. but I still think it's valuable to
get this in as a sample and then iterate?
> Docker - image & hub - for Atlas
> --------------------------------
>
> Key: ATLAS-2012
> URL: https://issues.apache.org/jira/browse/ATLAS-2012
> Project: Atlas
> Issue Type: New Feature
> Reporter: Nigel Jones
> Assignee: Nigel Jones
> Attachments: atlas_docker1.patch, atlas_docker_2.patch,
> atlas_docker.patch
>
>
> Docker is increasingly become a standard way of easily running components in
> a flexible manner, whether for development, production, or test
> I feel there are a few things we can do with docker that will aid Atlas's
> appeal
> 1. We could provide a simple example of how to create a docker image from the
> Atlas build. This could be published on the wiki & it would make it easier
> for developers to use Atlas within a docker environment - mostly by
> addressing how to configure & start up
> 2. We could automatically generate a docker image as part of the build
> process. This builds on #1 by automating the creation of the image & making
> it "just part of the build"
> 3. We could publish the docker image from #2, for releases, to dockerhub,
> making it near trivial for any developer to easily pull down and experiment
> with Atlas. Full source of course would be provided/documented so that a user
> could customize as needed for their environment plus of course improve what
> is provided with the core project
> 4. We could work with other teams especially ranger, to allow similar efforts
> in other teams to easily work together & be orchestrated
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