[Review Queue] gluster, docker, and new big data (spark/zeppelin/pig/hive)

Samuel Cozannet samuel.cozannet at canonical.com
Thu Jul 2 23:37:25 UTC 2015

Congrats guys, great work! Happy to see Spark there!
On Jul 3, 2015 12:16 AM, "Kevin Monroe" <kevin.monroe at canonical.com> wrote:

> Hi folks!  Cory and I hit a couple review queue items today:
> + gluster
> https://bugs.launchpad.net/charms/+bug/1469213
> This was a real treat.  Not only have I been looking for a reason to try
> out this fancy network filesystem, but I've also been wondering what's so
> great about rust.  This charm helped me on both fronts (yup, it really has
> a rust component [1]).  I'm happy to say we didn't hit any segfaults, but
> unfortunately can't +1 it at this time.
> Though the deployment was successful, we had reservations on a missing
> config-changed hook and would like to see the readme and tests polished a
> bit more prior to hitting the store.  Overall, this is a great submission
> and I look forward to working more with Chris to see this through
> promulgation.
> + docker
> https://code.launchpad.net/~lazypower/charms/trusty/docker/trunk/+merge/260867
> This was a refresh to v0.1.3 of the docker charm.  We noted some missing
> hooks in the review, but overall deployment and amulet tests looked good.
> We were stumped by a mysterious docker_opts.py module in this ansible
> charm, but luckily had Whit to explain this was a mechanism to translate
> hook events into docker runtime options. We requested this be documented a
> bit better in the class and have some unit tests to make its utility more
> obvious [2].
> + Big 'ol Data
> I forgot to fire off a note to the list about our Q time last week.  For
> those that don't know, Amir, Cory, and I make up the Big Data charmers team
> at Canonical.  Last week we spent some time polishing our own bits and
> we're excited to shepherd these into the store:
>   - apache-spark: a fast big data processing engine
>     https://bugs.launchpad.net/charms/+bug/1463012
>   - apache-zeppelin: notebook for interactive data analytics
>     https://bugs.launchpad.net/charms/+bug/1463026
>   - apache-hive: data warehouse for query and analytics (think sql)
>     https://bugs.launchpad.net/charms/+bug/1468769
>   - apache-pig: data analysis with the high-level Pig language
>     https://bugs.launchpad.net/charms/+bug/1468768
> That's a wrap from us.  It's been a pleasure!  Find us on freenode #juju
> (asanjar, cory_fu, kwmonroe) with any questions/comments.
> Refs:
> [1]
> http://bazaar.launchpad.net/~xfactor973/charms/trusty/gluster/trunk/view/head:/src/main.rs
> [2] https://github.com/chuckbutler/docker-charm/issues/54
> Thanks!
> -Kevin Monroe
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