Hi,
I have done a loyalty system with drools 4 (now they are in version 5) for a
retail company in France 3 years that calculates your discount given your
points, history, etc..
You have to put a lot of data in memory cache (ehcache for example) as the
database is the the weak point in concurrent mode.
As for drools, it was running on a simple bi-core server with 4 GB of ram
and it could handle 10 concurrent calculations without problems. The total
calculation time all inclusive (network connection, database, etc) does
never exceed 2 seconds with about 10000 loyalty rules for 800000 products.
The biggerst shop they have has more than a 100 cash machines that can be
all open on a saturday afternoon.
With a modern server (4-core hyperthreaded=8 cores) and all the rest and
even with more ram (= place for data caching) you can even do much better.
Hope it helps
Regards
Nicolas Héron
2011/4/27 Michael Anstis <michael.anstis(a)gmail.com>
If you use a stateless session per transaction you should generally
be OK.
How much lag you're likely to encounter is a much harder question to
answer: how well does your database retrieval scale, would this present an
issue before the rules engine?
The rules engine is "just a POJO library" the overall scalability would IMO
depend upon your application's architecture.
On 27 April 2011 11:27, Sumeet Karawal <sumeet.karawal(a)tcs.com> wrote:
>
> Hi,
>
> I have an Application where I have to give the discount to user according
> to their profile points.
>
> i.e. when the user logs in, his profile points are fetched from the
> database, and respectively he is given the required discount.
>
> My concern is how many concurrent users will be supported by the rules
> engine, will there a performance lag if the concurrent number of users
> exceed a certain limit. Please help me on this as I have no idea regarding
> this.
>
> Thanks and Reagrds,
> Sumeet Karawal
>
> Mailto: sumeet.karawal(a)tcs.com
>
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