[rules-users] Drools Performance

[Nicolas Héron]

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 at 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 at 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 at tcs.com
>>
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