dev@grizzly.java.net

Re: High CPU usage when using Grizzly NIO engine

From: Fay Zheng <fzheng1998_at_gmail.com>
Date: Fri, 17 Aug 2007 16:02:45 -0700

Disable TcpNoDelay does not seem to help. We still receive tons of
fragmented packets on single read.

Has anyone had similar experience before?

thanks,
Fay


On 8/17/07, charlie hunt <charlie.hunt_at_sun.com> wrote:
>
> Hi Fay,
>
> You could try it. It may help.
>
> If it does indeed improve things for you, let us know.
>
> charlie ...
>
> Fay Zheng wrote:
> > Thank you for your help. I also noticed that there are some TCP
> > specific behaviors. Looks like tcp connection is sending 1 byte
> > (partial data) on one read, then the rest of the request content on
> > next read. So we have to assembling the request. This happens quiet
> > often during our load test. Should I enable " tcpNoDelay"? Will it
> > help to turn off the behavior?
> >
> > thanks,
> > Fay
> >
> >
> > On 8/14/07, *charlie hunt* <charlie.hunt_at_sun.com
> > <mailto:charlie.hunt_at_sun.com>> wrote:
> >
> > There's a couple places in the grizzly source code you would need to
> > explicitly modify from that I looked at yesterday.
> >
> > Here's what I identified:
> >
> > 1.) In Controller.java, doSelect() method. Remove this logic
> towards
> > the end of the method:
> > iterator = readyKeys.iterator();
> > long currentTime = System.currentTimeMillis();
> > while (iterator.hasNext() && selectorHandler.isOpen()) {
> > key = iterator.next();
> > selectionKeyHandler.expire(key,currentTime);
> > }
> > *Note: In the trunk, Alexy just moved this logic to the
> > DefaultSelectionKeyHandler.
> >
> > 2.) If you are using the TCPSelectorHandler, in onReadOps(), you
> don't
> > need the currentTime to initialized, you can just set it to 0, or
> > remove
> > the currentTime and replace currentTime with 0L in the
> > selectionKeyHandler.register(key, currentTime) call. Same thing
> > applies
> > to onWriteOps(). In onAcceptInterest(), you can replace the call to
> > System.currentTimeMillis () with 0L.
> >
> > 3.) In DefaultSelectionKeyHandler.expire(), just make the entire
> > method
> > a no-op. Just tell it to return as soon as it is entered.
> >
> > I think that is it. That is all I could find.
> >
> > charlie ...
> >
> > Fay Zheng wrote:
> > > Thank you! We've already override the expire method in the
> > > DefaultSelectionKeyHandler to do nothing for our application:
> > >
> > > DefaultSelectionKeyHandler keyHandler =
> > >
> > > *new* DefaultSelectionKeyHandler() { *public* *void*
> > > expire(SelectionKey key) { *return*;
> > >
> > > }
> > >
> > > };
> > >
> > > However this approach looks quiet expensive in the profiling
> > data. For
> > > now I have to customize the grizzly source code to remove the
> > expiring
> > > of key part.
> > >
> > > thanks,
> > > Fay
> > >
> > >
> > > On 8/13/07, *charlie hunt* < charlie.hunt_at_sun.com
> > <mailto:charlie.hunt_at_sun.com>
> > > <mailto:charlie.hunt_at_sun.com <mailto:charlie.hunt_at_sun.com>>>
> wrote:
> > >
> > > Hi Fay,
> > >
> > > At the moment, there is not a way to turn off expiring of a
> > key.
> > >
> > > But, it is functionality we should have and I know of
> > another project
> > > which will want this functionality disabled as well.
> > >
> > > I will file an enhancement issue to add this functionality.
> > >
> > > charlie ...
> > >
> > > Fay Zheng wrote:
> > > > Is there a way to turn off expire of key, since it is not
> > > applicable
> > > > to persistent connections:
> > > >
> > > > iterator = readyKeys.iterator();
> > > >
> > > > while (iterator.hasNext() && selectorHandler.isOpen()) {
> > > >
> > > > key = iterator.next();
> > > >
> > > > selectionKeyHandler.expire(key);
> > > >
> > > >
> > > >
> > > > thanks,
> > > >
> > > > Fay
> > > >
> > > >
> > > >
> > > >
> > > > On 8/10/07, *Fay Zheng* <fzheng1998_at_gmail.com
> > <mailto:fzheng1998_at_gmail.com>
> > > <mailto:fzheng1998_at_gmail.com <mailto:fzheng1998_at_gmail.com>>
> > > > <mailto: fzheng1998_at_gmail.com
> > <mailto:fzheng1998_at_gmail.com> <mailto:fzheng1998_at_gmail.com
> > <mailto:fzheng1998_at_gmail.com>>>> wrote:
> > > >
> > > > Here's the command to run the application:
> > > >
> > > > java -server -verbose:gc -XX:+PrintGC
> > > > Details -XX:+PrintGCTimeStamps -
> > > > Dcom.pg.env=/props/env/dev/pg/trx.properties
> > > > -Dcom.sun.management.jmxremote
> > > > -Dcom.sun.management.jmxremote.port=9991
> > > > -Dcom.sun.management.jmxremote.authenticate=false
> > > > -Dcom.sun.management.jmxremote.ssl=false
> > > > -Duser.region=US -Xmx700m com.pg.serv.room.Main
> > > >
> > > > The GC is almost 10% for NIO, 5% for none NIO server.
> > > >
> > > > thansk,
> > > > Fay
> > > >
> > > > On 8/8/07, *charlie hunt* < charlie.hunt_at_sun.com
> > <mailto:charlie.hunt_at_sun.com>
> > > <mailto:charlie.hunt_at_sun.com <mailto:charlie.hunt_at_sun.com>>
> > > > <mailto: charlie.hunt_at_sun.com
> > <mailto:charlie.hunt_at_sun.com> <mailto:charlie.hunt_at_sun.com
> > <mailto:charlie.hunt_at_sun.com>>>>
> > > wrote:
> > > >
> > > > In addition to "RG's" suggestion, I would:
> > > >
> > > > 1.) Set use_direct_buffer = false (Grizzly will use
> > > > HeapByteBuffer instead)
> > > > 2.) You might also reduce the number of instances
> > of the
> > > > server down to
> > > > 2 or even 1. NIO should give you much better
> > > scalability and
> > > > should
> > > > have no problems scaling to 12,000 connections.
> > > > 3.) If you can, I would also go to the latest JDK
> 6_02
> > > version.
> > > >
> > > > We might also need to do some further fine tuning
> > of the
> > > JVM too.
> > > >
> > > > Could you share with us the full java command line
> > args you
> > > > are using?
> > > > It might also be useful to see the output from
> > > > -XX:+PrintGCDetails when
> > > > you are running with NIO.
> > > >
> > > > hths,
> > > >
> > > > charlie ...
> > > >
> > > > Fay Zheng wrote:
> > > > > We add Grizzly Nio engine to one of existing
> > server,
> > > which
> > > > used to be
> > > > > one thread per connection classic model. During
> load
> > > test we
> > > > noticed
> > > > > that NIO server consumes twice CPU power than
> > the classic
> > > > model when
> > > > > serving the same amount of connections.
> > > > >
> > > > > Here's our configurations:
> > > > >
> > > > > Here are some statistics:
> > > > >
> > > > > Hardware: Dells 2950 with 16 GB RAM, total 8
> > > processors, Intel(R)
> > > > > Xeon(R) CPU E5345 @ 2.33GHz , Linux kernel 2.6
> > > > >
> > > > > Software: JDK v1.5.6
> > > > >
> > > > > There are 4 instance of the server application
> > > configured on
> > > > one box
> > > > >
> > > > > Grizzly Configs:
> > > > >
> > > > > 100 max worker threads (8K buffer size)
> > > > >
> > > > > 150 max output buffer pool size (4K buffer size)
> > > > >
> > > > > use_direct_buffer = true
> > > > >
> > > > > selector timeout = 500
> > > > >
> > > > > Keep alive is true (persistent connections)
> > > > >
> > > > >
> > > > > Tested with : 7200 client connections
> > > > >
> > > > > Total CPU usage for all 4 instances are 44.59%(with
> > > NIO engine)
> > > > >
> > > > > CPU usage is 24.76% (without Nio engine)
> > > > >
> > > > > So far as memory, NIO server uses slightly less
> > memory in
> > > > this case.
> > > > >
> > > > >
> > > > > The memory consumption could be linear because
> > we keep
> > > lots
> > > > of state
> > > > > information for each connection (user). Other than
> > > that, what
> > > > other
> > > > > parameters should I pay attention to in order to
> > scale the
> > > > server to
> > > > > serve 10,000 or more connections without burning
> > up CPU?
> > > > >
> > > > > The old server can serve 12000 connections with 4
> > > instance at
> > > > <= 50%
> > > > > CPU usage.
> > > > >
> > > > > Would it be better to run 2 instances of NIO
> server
> > > instead
> > > > of 4?
> > > > >
> > > > > Your opinion and suggestion is greatly
> appreciated.
> > > > >
> > > > >
> > > > > thanks,
> > > > > Fay
> > > >
> > > > --
> > > >
> > > > Charlie Hunt
> > > > Java Performance Engineer
> > > > 630.285.7708 x47708 (Internal)
> > > >
> > > > < http://java.sun.com/docs/performance/
> > > <http://java.sun.com/docs/performance/
> > <http://java.sun.com/docs/performance/>>
> > > > <http://java.sun.com/docs/performance/>>
> > > >
> > > >
> > > >
> > >
> >
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> > >
> > > --
> > >
> > > Charlie Hunt
> > > Java Performance Engineer
> > > 630.285.7708 x47708 (Internal)
> > >
> > > <http://java.sun.com/docs/performance/
> > > <http://java.sun.com/docs/performance/>>
> > >
> > >
> > >
> >
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> > >
> >
> > --
> >
> > Charlie Hunt
> > Java Performance Engineer
> > 630.285.7708 x47708 (Internal)
> >
> > <http://java.sun.com/docs/performance/>
> >
> >
> >
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>
> --
>
> Charlie Hunt
> Java Performance Engineer
> 630.285.7708 x47708 (Internal)
>
> <http://java.sun.com/docs/performance/>
>
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