Yeah I'd be curious to see how the Docker setup instructions (from scratch)
would compare to the current ones.

On Wed, May 4, 2016 at 11:05 AM, Arthur Wiedmer <[email protected]>
wrote:

> +1, but it feels like just piling on.
>
> One thing we could consider is which part we would like to fix.
>
> - If it is the seriousness/production ready db, but that is still a local
> db/client, we could try something like firebird.
> Relatively small footprint and can do multithreading, it is supported by
> SQLAlchemy, though it is not as easy to install as sqlite on most *nixes.
> We could spend some cycles baking this into containers as well.
>
> - As far as ease of use, while docker is definitely getting more popular,
> it is hard to beat the current pip install flow for people not quite up to
> date on how to setup docker. It seems like one more hurdle if you just want
> to get started.
>
> Best,
> Arthur
>
>
> On Wed, May 4, 2016 at 9:35 AM, Maxime Beauchemin <
> [email protected]> wrote:
>
> > Making it frictionless for people to get their feet wet is extremely
> > important. It's been a requirement since the early prototypes and I feel
> > strongly about keeping it that way. It's hard to test this hypothesis,
> but
> > it could be a defining factor in the success of this project (to-date and
> > future).
> >
> > Docker may allow for more batteries to be included and offer even less
> > friction than the `pip install` path for folks who are familiar with it.
> > I'd have to look to see if the community contributed Docker images are up
> > to date. We may want to make that "the way to go" and change the
> tutorial /
> > quick start instructions to reflect that if it makes sense. That may
> > require integrating the burning of images as part of the build and/or
> > release process.
> >
> > Max
> >
> > On Wed, May 4, 2016 at 6:33 AM, Jeremiah Lowin <[email protected]>
> wrote:
> >
> > > +1, shipping Airflow "batteries included" is very important in my
> > opinion.
> > > There is a lot to grok and the easiest way to learn is by letting folks
> > > spin up a working installation right away. Unfortunately I don't think
> > > there's a viable alternative to SQLite that is also supported by
> > > SQLAlchemy.
> > >
> > > On Wed, May 4, 2016 at 2:57 AM Prateek Rungta <[email protected]>
> > wrote:
> > >
> > > > It's documented pretty well that it's only for people to get their
> feet
> > > wet
> > > > with. From the quickstart
> > > > <http://pythonhosted.org/airflow/start.html?highlight=sqlite>:
> > > >
> > > > Out of the box, Airflow uses a sqlite database, which you should
> > outgrow
> > > > fairly quickly since no parallelization is possible using this
> database
> > > > backend. It works in conjunction with the SequentialExecutor which
> will
> > > > only run task instances sequentially. While this is very limiting, it
> > > > allows you to get up and running quickly and take a tour of the UI
> and
> > > the
> > > > command line utilities.
> > > >
> > > > FWIW, I'm now on day 2 of using Airflow. And while I wouldn't dream
> of
> > > > deploying Airflow using SQLite beyond my laptop, I quite appreciated
> > > being
> > > > able to mess with Airflow without any of the infrastructural
> > constraints.
> > > >
> > > >
> > > >
> > > > On Tue, May 3, 2016 at 11:18 PM, Siddharth Anand <[email protected]>
> > > > wrote:
> > > >
> > > > > From time to time, we run into bugs with the SQLite dialect in
> > > SQLAlchemy
> > > > > and close the bugs as "wont-fix" because we don't want to be in the
> > > > > business of fixing such bug. We deem SQLite as a "non-serious"
> > database
> > > > > that no one [in his/her right mind] would run in his/her staging,
> qa,
> > > or
> > > > > production environments. However, we rely on the SequentialExecutor
> > and
> > > > one
> > > > > the SQLite DB for our tests.
> > > > > What should we do with SQLite? Should we lift up the hood and fix
> it
> > > for
> > > > > our needs or find either a different ORM or a different option for
> DB
> > > > > backend?
> > > > > Example of bugs we encounter and close as won't fix : 1. Deleting a
> > > task
> > > > > instance : https://github.com/airbnb/airflow/issues/9552. Weird
> > pickle
> > > > > issue : https://issues.apache.org/jira/browse/AIRFLOW-46
> > > > >
> > > > >
> > > > >
> > > > >
> > > >
> > >
> >
>

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