[rules-users] Why does Drools' RuleBase.addPackage() Behave ThisWay?

Jin, Ming Ming.Jin at travelocity.com
Thu Aug 2 15:40:32 EDT 2007


Mark,
 
Thanks for the prompt response.  I will certainly create a simplified
program to demonstrate this problem and open a JIRA.
 
As for the "non-optimized test rule set", I meant that I did not even
using the new syntax in 4.0GA, such as "in" and "not in", when
converting IRL to DRL.  I converted all the in conditions to
concatenated or's or "!=" for negations.  All the rules also created
without one condition that has been showing greatly improved performance
in JRules.  But Drools seems not needing it.  The data set is exactly
the same.
 
By the way, I also like DRL a lot.
 
-Ming
 


________________________________

	From: rules-users-bounces at lists.jboss.org
[mailto:rules-users-bounces at lists.jboss.org] On Behalf Of Mark Proctor
	Sent: Thursday, August 02, 2007 2:06 PM
	To: Rules Users List
	Cc: Shtarkman, Daniel
	Subject: Re: [rules-users] Why does Drools'
RuleBase.addPackage() Behave ThisWay?
	
	
	Thanks for the feedback, glad it's working out faster for you.
Btw have you tried our sequentail mode, thats even faster, especially
for large data sets and where as JRule's sequential/fastpath modes limit
the rule langauge available to you, we still allow you access to the
full language. Also notice how we don't need to pool rule contexts like
JRules, our single rulebase can be shared amount working memory
sessions, making the management of sessions very light weight which
simplifies your over all infrastructure.
	
	On the increasing times, that doesn't look good. Probably a bad
loop or cache somewhere. Could you make a self contained project showing
this behaviour and upload it as a jira, and we will track and hopefully
move the bottlebeck. Hopefully JProfiler can shed some light.
	
	Btw what do you mean by "non-optimized test rule set and data" -
just trying to understand so I can compare apples to apples.
	
	Mark
	Jin, Ming wrote: 

		I am benchmarking Drools 4.0 and received excellent
results in rule execution.  With our non-optimized test rule set and
data, Drools out performed ILOG/JRules by quite a bit.  Congratulations
to Drools' team for a job well done.
		 
		I encountered a strange behavior when trying to test the
performance of rule registration, meaning to add Package's to a new
instance of RuleBase.  I ran the same test 5 times in a sequence, and
the RuleBase instance was discarded right away.  The test ran with
different different number of packages, 20, 50, 100, and 200.  The
results are as the followings:
		 
		Added 20 packages to rulebase in 0:00:0.15
		Added 20 packages to rulebase in 0:00:0.21
		Added 20 packages to rulebase in 0:00:0.21
		Added 20 packages to rulebase in 0:00:0.301
		Added 20 packages to rulebase in 0:00:0.18
		Added 20 packages to rulebase 5 times in 0:00:1.051
		 
		Added 50 packages to rulebase in 0:00:0.17
		Added 50 packages to rulebase in 0:00:1.422
		Added 50 packages to rulebase in 0:00:1.252
		Added 50 packages to rulebase in 0:00:1.322
		Added 50 packages to rulebase in 0:00:1.331
		Added 50 packages to rulebase 5 times in 0:00:5.497
		 
		Added 100 packages to rulebase in 0:00:0.19
		Added 100 packages to rulebase in 0:00:5.278
		Added 100 packages to rulebase in 0:00:5.297
		Added 100 packages to rulebase in 0:00:5.228
		Added 100 packages to rulebase in 0:00:5.327
		Added 100 packages to rulebase 5 times in 0:00:21.32
		 
		Added 200 packages to rulebase in 0:00:0.22
		Added 200 packages to rulebase in 0:00:21.691
		Added 200 packages to rulebase in 0:00:21.481
		Added 200 packages to rulebase in 0:00:21.642
		Added 200 packages to rulebase in 0:00:21.341
		Added 200 packages to rulebase 5 times in 0:01:26.385
		 
		As you can see, the timing of creating first RuleBase
instance is always good, while the subsequent one's were very bad.  Is
there an attribute I could adjust in configuration to improve the
performance for this scenario?  Please advise if there is other
alternatives.  I would be glad to provide details if needed.
		 
		Your help is greatly appreciated!
		-Ming
		
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