This topic is covered in Berin's TOC ([Docs] Installation and Configuration):
C) Tuning Cocoon
1) Pool controlling attributes (min/max/etc)
2) Finding optimal Cache settings
Could you write this chapter? ;)
Vadim
> -----Original Message-----
> From: Morrison, John [mailto:[EMAIL PROTECTED]]
> Sent: Wednesday, August 22, 2001 10:12 AM
> To: '[EMAIL PROTECTED]'
> Subject: RE: LoadTest
>
>
> I think that there's a need in the documentation as to what caches can be
> configured, how and how to work out 'reasonable' values before
> 'tweaking'...?
>
> > -----Original Message-----
> > From: Vadim Gritsenko [mailto:[EMAIL PROTECTED]]
> > Sent: Wednesday, 22 August 2001 2:45 pm
> > To: [EMAIL PROTECTED]
> > Subject: RE: LoadTest
> >
> >
> > > -----Original Message-----
> > > From: Matthew Langham [mailto:[EMAIL PROTECTED]]
> > > Sent: Wednesday, August 22, 2001 6:09 AM
> > > To: [EMAIL PROTECTED]
> > > Subject: AW: LoadTest
> > >
> > >
> > > Berin (and others),
> > >
> > > >>
> > > the Components. Cocoon.xconf provides attributes to allow you to
> > > manipulate
> > > the size of Component pools for Poolable Components:
> > >
> > > pool-min // Minimum number of Components in the pool
> > > pool-max // Maximum number of Components maintained in the pool
> > > pool-grow // Number of Components to add to the pool
> > each time we run
> > > out.
> > > <<
> > >
> > > Where have you been successful in adding / changing these
> > attributes to
> > > increase performance (i.e. which components lend themselves
> > to needing
> > > higher values)?
> >
> > Pipelines - at least <Number of simultaneous users> * <depth
> > of content aggregation>,
> > Generators/Transformers/Serializers - at least <amount
> > required to process one request> * <Number of simultaneous users>
> > Connectors (if any) - <count of pipeline components to
> > process one request> * <Number of simultaneous users>
> >
> > This increases performance A LOT if you have >8 simultaneous
> > users (threads) and stock sitemap.
> >
> > Vadim
> >
> >
> > >
> > > Matthew
> > >
> > > --
> > > Open Source Group sunShine - Lighting up e:Business
> > > =================================================================
> > > Matthew Langham, S&N AG, Klingenderstrasse 5, D-33100 Paderborn
> > > Tel: +49-5251-1581-30 [[EMAIL PROTECTED] - http://www.sundn.de]
> > > =================================================================
> > >
> > > the Components. Cocoon.xconf provides attributes to allow you to
> > > manipulate
> > > the size of Component pools for Poolable Components:
> > >
> > > pool-min // Minimum number of Components in the pool
> > > pool-max // Maximum number of Components maintained in the pool
> > > pool-grow // Number of Components to add to the pool
> > each time we run
> > > out.
> > >
> > > The Pool will basically turn into a Factory when the number of
> > > Components in
> > > the pool exceed pool-max. This is a performance drain.
> > >
> > > We should probably ensure their use in Sitemap Components
> > (any takers on
> > > this?)
> > >
> > > > Memory leaks ? I'm not sure if a memory leak
> > would cause a drop in
> > > > performance, unless excessive garbage collection
> > was being done
> > > (but
> > > > we have 2gig of RAM, of which 800 meg is not even touched)
> > >
> > > Increase your pool sizes and cache sizes. If your JVM is
> > not set to use
> > > all 2 gig
> > > of RAM, then it will perform garbage collection more often.
> > >
> > > > Runaway threads ? Could cause such a problem, but
> > they wouldn't
> > > allow
> > > > the system to regain itself - or should I not
> > assume this ?
> > >
> > > I don't think this is a problem. You would see your CPU maxed out.
> > >
> > > > Synchronization problems ? Could there be some
> > synchronization
> > > issues
> > > > there which force the jvm to queue threads up for
> > entry to a
> > > > particular method/code block which is considered
> > to be a critical
> > > > area ?
> > >
> > > The ComponentManagement framework uses Mutexes to control
> > access--which
> > > is critical
> > > for Cocoon's stability. However, if you can sustain 100
> > users for 20
> > > minutes before
> > > the slow down occurs, I doubt that synchronization is the culprit.
> > >
> > > > Threading issues ? We've also seen cases in the
> > log files under
> > > load
> > > > where a single (same) request is handled by 4
> > separate threads,
> > > all
> > > > starting in the same second - quite vexing.
> > >
> > > That _might_ be your Servlet Engine. The last time I ran my tests I
> > > used Caucho's
> > > Resin. It is pretty decent, although it has some
> > synchronization issues
> > > of its own
> > > regarding archived files (i.e. jar files). They are so
> > severe that the
> > > entire JVM
> > > crashes.
> > >
> > > Try another vendor's Servlet Engine--it _could_ be that
> > Tomcat is the
> > > problem if
> > > 4 threads are handling the SAME request.
> > >
> > > > Our environment is a on a Sun Enterprise 250
> > (2x450mhz UltraII,
> > > 2gig
> > > > ram), with Tomcat 3.2.3, CVS Cocoon2, and our reporting
> > > application
> > > > (generates various html tables and pdf reports).
> > >
> > > That sounds very impressive. Can I have one? ;P
> > >
> > > > If you have any comments, or questions regarding
> > what we've seen,
> > > > please feel free to respond.
> > >
> > > Try the tips I laid out. Recapping:
> > >
> > > 1) Make sure your JVM is set to use all 2gig of RAM (or
> > however close
> > > you want to be)
> > > 2) Play with the pool parameters until you have something that works
> > > 3) Try another Servlet Engine (If your problems persist
> > then the issue
> > > is very likely
> > > with Cocoon)
> > >
> > >
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