On 22 September 2015 at 14:40, Oliver Keyes <[email protected]> wrote:

> On 22 September 2015 at 05:10, Marko Obrovac <[email protected]>
> wrote:
> > Hello,
> >
> > Just a small note which I don't think has been voiced thus far. There
> will
> > actually be two APIs - one exposed by the Analytics' RESTBase instance,
> > which will be accessible only from inside of WMF's infrastructure, and
> > another, public-facing one (exposed by the Services' RESTBase instance).
> >
> > Now, these may be identical (both in layout and functionality) or may
> > (slightly) differ. Which way to go? The big pro of them being identical
> is
> > that the client wouldn't need to care which RESTBase instance it is
> actually
> > contacting. That would also ease API maintenance. On the down side, that
> > increases the overhead for Analytics to keep their domain list in sync.
> >
> > Having a more specialised API for the Analytics instance, on the other
> hand,
> > would allow us to tailor it more for real internal use cases instead of
> > focusing on the overall API coherence (which we need to do for the
> > public-facing API). I'd honestly vote for that option.
> >
>
> Can you give an example of internal-facing use cases you don't see a
> broader population of consumers being interested in?
>

In my mail I was mostly hinting to the fact that the public-facing API is
divided by domains, whilst the notion of projects is better suited for
Analytics. So the internal API could be organised around projects while
still supporting domains but in a looser format than the public one.

We plan to support arbitrary projects (such as en-all, all-wiktionary, etc)
on the public side as well, but because of the current layout, the
analytics' (public) API will be fragmented. There is no need to do such a
thing with the internal API too.

To concretely answer the question, I am not aware of any specific use case.
Just pointing out that internal users can, if they need/want, rely on
projects rather than on domains.

Cheers,
Marko


>
> > On 16 September 2015 at 16:06, Toby Negrin <[email protected]>
> wrote:
> >>
> >> Hadoop was originally built for indexing the web by processing the web
> map
> >> and exporting indexes to serving systems. I think integration with
> Elastic
> >> Search would work well.
> >
> >
> > Right, both are indexing systems (so to speak), but the former is for
> > offline use, while the latter targets online use. Ideally, we should make
> > them cooperate to get the best out of both worlds.
> >
> > Cheers,
> > Marko
> >
> >>
> >>
> >> -Toby
> >>
> >> On Wed, Sep 16, 2015 at 7:03 AM, Joseph Allemandou
> >> <[email protected]> wrote:
> >>>
> >>> @Erik:
> >>> Reading this thread makes me think that it might be interesting to
> have a
> >>> chat around using hadoop for indexing
> >>> (https://github.com/elastic/elasticsearch-hadoop).
> >>> I have no idea how you currently index, but I'd love to learn :)
> >>> Please let me know if you think it could be useful !
> >>> Joseph
> >>>
> >>> On Wed, Sep 16, 2015 at 5:15 AM, Erik Bernhardson
> >>> <[email protected]> wrote:
> >>>>
> >>>> makes sense. We will indeed be doing a batch process once a week to
> >>>> build the completion indices which ideally will run through all the
> wiki's
> >>>> in a day. We are going to do some analysis into how up to date our
> page view
> >>>> data really needs to be for scoring purposes though, if we can get
> good
> >>>> scoring results while only updating page view info when a page is
> edited we
> >>>> might be able to spread out the load across time that way and just
> hit the
> >>>> page view api once for each edit. Otherwise i'm sure we can do as
> suggested
> >>>> earlier and pull the data from hive directly and stuff into a
> temporary
> >>>> structure we can query while building the completion indices.
> >>>>
> >>>> On Tue, Sep 15, 2015 at 7:16 PM, Dan Andreescu
> >>>> <[email protected]> wrote:
> >>>>>
> >>>>> On Tue, Sep 15, 2015 at 6:56 PM, Marko Obrovac <
> [email protected]>
> >>>>> wrote:
> >>>>>>
> >>>>>> On 15 September 2015 at 19:37, Dan Andreescu
> >>>>>> <[email protected]> wrote:
> >>>>>>>>
> >>>>>>>> I worry a little bit about the performance without having a batch
> >>>>>>>> api, but we can certainly try it out and see what happens.
> Basically we will
> >>>>>>>> be requesting the page view information for every NS_MAIN article
> in every
> >>>>>>>> wiki once a week.  A quick sum against our search  cluster
> suggests this is
> >>>>>>>> ~96 million api requests.
> >>>>>>
> >>>>>>
> >>>>>> 96m equals approx 160 req/s which is more than sustainable for
> >>>>>> RESTBase.
> >>>>>
> >>>>>
> >>>>> True, if we distributed the load over the whole week, but I think
> Erik
> >>>>> needs the results to be available weekly, as in, probably within a
> day or so
> >>>>> of issuing the request.  Of course, if we were to serve this kind of
> request
> >>>>> from the API, we would make a better batch-query endpoint for his
> use case.
> >>>>> But I think it might be hard to make that useful generally.  I think
> for
> >>>>> now, let's just collect these one-off pageview querying use cases
> and slowly
> >>>>> build them into the API when we can generalize two or more of them
> into one
> >>>>> endpoint.
> >>>>>
> >>>>> _______________________________________________
> >>>>> Analytics mailing list
> >>>>> [email protected]
> >>>>> https://lists.wikimedia.org/mailman/listinfo/analytics
> >>>>>
> >>>>
> >>>>
> >>>> _______________________________________________
> >>>> Analytics mailing list
> >>>> [email protected]
> >>>> https://lists.wikimedia.org/mailman/listinfo/analytics
> >>>>
> >>>
> >>>
> >>>
> >>> --
> >>> Joseph Allemandou
> >>> Data Engineer @ Wikimedia Foundation
> >>> IRC: joal
> >>>
> >>> _______________________________________________
> >>> Analytics mailing list
> >>> [email protected]
> >>> https://lists.wikimedia.org/mailman/listinfo/analytics
> >>>
> >>
> >>
> >> _______________________________________________
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> >> [email protected]
> >> https://lists.wikimedia.org/mailman/listinfo/analytics
> >>
> >
> >
> >
> > --
> > Marko Obrovac, PhD
> > Senior Services Engineer
> > Wikimedia Foundation
> >
> > _______________________________________________
> > Analytics mailing list
> > [email protected]
> > https://lists.wikimedia.org/mailman/listinfo/analytics
> >
>
>
>
> --
> Oliver Keyes
> Count Logula
> Wikimedia Foundation
>
> _______________________________________________
> Analytics mailing list
> [email protected]
> https://lists.wikimedia.org/mailman/listinfo/analytics
>



-- 
Marko Obrovac, PhD
Senior Services Engineer
Wikimedia Foundation
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