Good to know.

Thanks Nik.  Nice work and forward plans, Team !

Thad
+ThadGuidry <https://www.google.com/+ThadGuidry>

On Thu, Mar 5, 2015 at 6:13 PM, Nikolas Everett <[email protected]>
wrote:

>
>
> On Thu, Mar 5, 2015 at 6:47 PM, Thad Guidry <[email protected]> wrote:
>
>> Nik,
>>
>> Will you be incorporating MapGraph, as well, with GPU hardware as part of
>> the scope of the Wikidata Query Service ?  Or is that out of scope until
>> you know what the load limits will be and just use BlazeGraph as is with
>> CPU-bound memory ?
>>
>> MapGraph isn't open source so we won't be using it.
>
>
>> What are the scalability plans for also using MapGraph with GPU's and
>> their memory in the future, in case the need for faster graph traversal
>> arises ?
>>
>>
> So MapGraph is out but otherwise scalability plans are pretty standard
> stuff:
> 1.  Instrument for slow stuff
> 2.  Fix bugs that make it slow
> 3.  Buy more servers to scale out when #2 gets too slow to keep up
>
> These servers would just be replicas.  This fails when the working set
> grows too large and that is something we'll be watching out for.
> BlazeGraph has some horizontal scaling features that we'll invoke if we get
> there.
>
>
> Furthermore this'll all be easonably easy to run outside of the cluster so
> if folks need to take it locally and do things with it that we can't (like
> MapGraph) then it should work well.
>
> I'm certainly weary of Java.  I've worked in Java for years and I'm really
> familiar with all of its baggage.  BlazeGraph does a very reasonable job
> with it.  It feels like half of the graph databases are written in Java and
> I've always wondered why.  Locking down the SPARQL endpoint so its
> "impossible" to overwhelm the system is high on our list of things to do
> and Java makes that harder.  BlazeGraph's analytic query mode should help
> there.  Ultimately I see the JVM as a risk to mitigate in this case.
>
> Nik
>
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