nterprise" word, there), has been helpful with a recent
security audit.
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to one or more separate IOWA processes,
with session affinity.
Is there any set of standard sorts of things that have been devised to
test the other handlers that I could apply to my new handlers?
Thanks,
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On 7/19/06, Zed Shaw <[EMAIL PROTECTED]> wrote:
> On Wed, 2006-07-19 at 12:00 -0600, Kirk Haines wrote:
>
> Kirk! You're awake! Awesome, since I'm actually writing the "Mongrel
> HTTP Compliance Test Suite" using RFuzz right now. If you want I can
> get
application is doing something that is itself very RAM intensive. I
don't have enough experience with substantial Rails apps, though, to
know whether to lay that at the feet of Rails or not.
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(/([^ a-zA-Z0-9_.-]+)/n) do
'%' + $1.unpack('H2' * $1.size).join('%').upcase
end.tr(' ', '+')
end
Camping simply stole from cgi.rb, too, so Camping's escape() can't be
any faster than CGI's, and the comment in mongrel.rb sh
readed, but Zed has a strongly worded warning against
doing that in the code.
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ats them one at a time.
If Rails could safely multithread, then the guard mutex and it's
synchronization (which you can turn off already if you really want to)
wouldn't be required, and overall performance on a single Mongrel, for
Rails, should be better.
Kirk Haines
Every minute or five minutes or whatever ask a
master cache shared via drb if it has changed, and if it has, update
the local cache from it.
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ery so often to sync the local cache to the remote one.
If the config object in the drb server has a reload() method or
something like that, any of the clients could trigger a config reload
by just calling it on the DRb object.
Very, very easy to implement. Works well, and is standard in Ru
4 Linux kernel), I can fork a little over 200 7Mb
processes a second in a simple test.
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ve suggests that in 1.8.5 it is taking longer to get around
to cleaning up objects. It seems to be faster when it does, as my
overall throughput is about 10% faster on 1.8.5, but I don't think I'm
liking the tradeoff that I am seeing with memory consumption
an do to cache your database transactions in order to minimize
them. If that is the bottleneck, everything else is a meager drop in
the bucket.
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but I have a process/threadsafe to-disk persistence
library that I will bundle and release separately from IOWA. It
provides relatively fast persistence and could be used to store
sessions like people use PStore. I'll try to finally get that done
today if anyone wants to try it out as
On 9/3/06, Kirk Haines <[EMAIL PROTECTED]> wrote:
> I still doubt that Mutex itself is the problem here. Sync uses the
> same algorithm for exclusive locking, and I can run _millions_ of
> threads through IOWA, which operates similarly to Mutex with regard to
which runs simil
that for some users simply swapping Sync
in place of Mutex appears to clear a problem. I'm just arguing with
your conclusion that this is because Mutex is broken or because Ruby
is leaking memory when it is used.
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ing a memory leak in Ruby. It
was a stupid error in Hash causing some memory to never be freed. I
would not be all surprised if there are other similar errors hiding in
Ruby.
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ect, deterministic behavior on both Linux and Win XP.
array.c's behavior is what needs to be examined in greater detail, here.
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nchronizes Rails calls so that only one runs at a time. Thus,
to handle simultaneous Rails requests with Mongrel one needs more than
one Mongrel process.
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s is setup to not process concurrent requests,
though, to avoid Rails badness.
Other Mongrel handlers may be (and probably are, in general) fully
capable of operating concurrently.
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still substantially
faster in your benchmarks?
Thanks,
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On 9/5/06, Luis Lavena <[EMAIL PROTECTED]> wrote:
> Anyway, the use of thread.critical isn't a viable locking method, as
> said by ruby-core by matz a few years back (1.6 version I think).
Thread.critical alone makes it easy to get oneself into trouble, but
both Sync and Mutex are built on top of
ad at all!
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the state of this? I'd love to expand on my rudimentary
tests for the IOWA+Mongrel integration and see if there's anything
that I broke that shouldn't be broken.
Thanks,
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the same mongrel cluster, and you don't have to do anything at all at
the Mongrel level, right? You leave it to your app to be multidomain
aware?
What am I missing?
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http:/
't answer your question, but a hanging server seems
like it falls into the category of things that just should not happen,
and that it'd be worthwhile to get to the bottom of why it is
happening before working around the fact that it is happening.
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On 9/8/06, Zed Shaw <[EMAIL PROTECTED]> wrote:
> On Fri, 2006-09-08 at 13:13 -0700, Joe Ruby wrote:
> > Yeah, that was the first thought I had about the JRuby
> > news -- here come the enterprisey people. :(
>
> Nah, the JRuby guys are cool, if anything evil happens it'll be due to
> something outs
e and the
amount of it that is generated via code.
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not tie it to the .js file suffix. I
think this is an oversight and have emailed Austin about it, but if
you use mime/types for anythng, be aware of this.
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this by using some tool to see what HTTP headers are
being sent when fckeditor.js is retreived.
wget -S http://servername.com/editorpath/fckeditor.js
is one way.
Make sure that the headers, and especially the content type look right.
Kirk Haines
__
the stock
one runs into with regard to Array. It is otherwise identical to the
stock thread.rb. I am curious if you replace your thread.rb with this
one, and flip Mongrel back to using Mutex, if you can still get this
same failure mode to happen?
Kirk Haines
thread.rb
Description: applic
e_map = {})
@files = Mongrel::DirHandler.new(dir,false)
@guard = Sync.new
That last line, comment it out and add:
@guard = Mutex.new
Then try your test again and see if you can reproduce that mode of failure.
Kirk Haines
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Mo
On 9/16/06, Zed Shaw <[EMAIL PROTECTED]> wrote:
> Now if Matz could just be bothered to fix those memory leaks and help
> get rid of the 1024 file limit I think I'd be one happy fellow. :-)
He asked that the patch for the Hash related leak that I found be
committed, so I think that one is taken c
r Mongrel users out
of the picture.
> What does the dog want to grow up to be?
Good question.
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few
in the distribtution, or just plug in something custom to do what one
needs).
Performance is comparable to using apache2 with the mod_ruby handler
for communication, and is close to fcgi performance, but configuration
and testing is much simpler, so it is a definite win for me.
Kirk Haines
re completely
compatible so long as you don't expect a Mutex synchronize block and a
Sync synchronize block to have any effect on the other.
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real issue. not
> bad indeed.
Is your application _really_ computation intensive? It boggles my
mind that something running 3 web servers (single processor boxes?)
with a separate db cluster (2 servers?) and 30 processes to handle it
all could be having intermittent speed issue
s = timeout(@open_timeout) { TCPSocket.open(conn_address(), conn_port()) }
Which is curious. I don't know where, in your version of Mongrel,
that would be called. I've crawled all through the Mongrel source,
and the only places that I see Net::H
Sync, which is ugly enough to make the
baby Jesus cry.
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table with Mongrel,
Zed. Thanks for your continued work.
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On 10/4/06, Zed A. Shaw <[EMAIL PROTECTED]> wrote:
> What modification did you make to the parser? I think you covered this
> once before but can't find the message where you detailed them.
They are very modest. I simplified http_field so that it doesn't
change dashes to underscores.
I separat
e can figure this out.
What sort of loads are you calling high loads? High levels of
concurrency? How high?
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er of threads, so in this
specific case I continue to use a Mutex, but have patched around the
problemlematic Array usage by creating my own copy of the Mutex class
that uses Array in a way that doesn't suffer from the bug.
Kirk Haines
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also was very tired to check the code in deep.
>
> I'll contact mentalguy, but I guess the answer will be 'what, windows?' :-P
I've been testing it with IOWA, too, and so far, so good. I do think
it should be fine on W
elHandler with Mongrel. It then
starts the Mongrel event loop via:
@mongrel.run
@mongrel_thread = @mongrel.acceptor
@mongrel_thread.join
It's very similar to the way Nitro works with Mongrel, as well.
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is my
simplest option for deploying new sites and applications.
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is said will reduce down to something like this:
"Provide a patch that retains the ability to selectively require
certain versions or version ranges, yet provides the version
specification freedom that you think should exist, and we'll consider
it."
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a show stopper.
After all, is a version like 1.0-rc9 really any more informative than 0.3.13.4?
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their backend. I don't
use Rails, though, so your mileage will probably vary quite a lot from
that if you do.
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se to what I have seen in my direct-to-mongrel tests,
though I get speeds that are a little bit higher. In the 800+
req/second range. I don't think anything is wrong with your tests.
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Mongrels right now.
No, it isn't a must for Mongrel. It may be a must for Rails, but it
isn't a must for Mongrel. There is a difference. It's often blurred
in both questions and responses, but Mongrel is far more than just a
Rails platform.
Kirk Haines
about the same numbers, and they are around 900,
give or take 50. I just ran a few hundered thousand requests to pull
some solid current timings, and some 10 second bursts were as high as
1000 requests/second or as low as 800/second, but most were c
tuations where clustering multiple backends is necessary,
for sure, but it's possible to handle an exceptional amount of
dynamic, db-interactive traffic in a single ruby process.
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7Mb of RAM, perhaps
> a "blank" Mongrel is not much more (haven't checked yet). Wonder if this
> makes sense, or am I just crazy.
This sounds like a way to implement something similar to what I described above.
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; morning :)
No. That is probably happening because of the file descriptor limit
in Ruby. Your Mongrel has accepted as many connections as Ruby can
handle; it is out of descriptors.
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ility to process
the requests.
Consider the last httperf command that he gave:
httperf --server 192.168.1.1 --port 3000 --rate 80 --uri /my_test
--num-call 1 --num-conn 1
1 connections is plenty enough to run out of file descriptors if
he's only managing to process, say, 70 requests
version of Mongrel? Or are you doing anything that creates an
array and then shifts values off of it?
shift() has a dumb assed (made moreso by the fact that, at least as of
1.8.5 it still exists) bug in it that will mess with your RAM usage
badly, especially if you have large thi
On 3/14/07, Michel R Vaillancourt <[EMAIL PROTECTED]> wrote:
>
>Thanks to everyone for your suggestions. I'll go do some more
> reading. :)
If you want a thin, easy layer on Mongrel for writing an app, take a
look at Rack.
rack.rubyfor
vironment.rb).
Just another useless data point, but I never have had a problem with
Mongrel on Ruby 1.8.5.
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gt; give you a better explanation. I'd recommend using the logging
> features and just keeping an active tail -f on the log.
It's a shameless plug, but you might look at
http://analogger.swiftcore.org to help with logging. It should be
simple to use it from Rails, though nobody has given
le backend
processes, without worrying about resource contention. It's that, or
I have N log files, one for each backend process for my app.
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undle in the next release to
make Rails or Mongrel logging integration simpler.
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transparent to any
Mongrel handlers, so the Rails or Camping or Merb or Ramaze or
whatever handlers just work.
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On 5/21/07, Zed A. Shaw <[EMAIL PROTECTED]> wrote:
> There's was quite a few announced "mongrel needs some help" kind of
> proxies:
>
> * Swiftiply by Kirk Haines (as he mentioned)
> http://swiftiply.swiftcore.org/index.html
Really, when I started writing th
th Francis Cianfrocca about making sure that an
update is done, ASAP, which clears the issue up.
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ifferent log files,
depending on the hostname and port it is running on, though, if it's
mongrel logs that you are asking about.
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On 5/22/07, Miles Egan <[EMAIL PROTECTED]> wrote:
> On May 22, 2007, at 3:50 PM, Kirk Haines wrote:
> > You could try my asynchronous logger, Analogger --
> > http://analogger.swiftcore.org
>
> I can just see myself explaining that name to my boss now...
Pour &
get
released this weekend as planned because I found a couple bugs that I
need to address first).
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annies in the mongrel source and with it's behavior in the wild ;)
I'm also willing to help. I have quite a bit of familiarity with the
guts of Mongrel, as well.
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http://
t efficient way of dealing with these sorts of things, from a
throughput perspective, is to avoid the overhead of threads completely
and just pound them through, one at a time, with 100% of the process
resources working on that single request at a time.
This doesn't change if you have one proces
hen one does a DB query that is going through a C extension,
all of the other green threads are blocked, so that latency can't be
captured.
If it could be, then yes, there would be some benefit from some number
of green threads per process for typical web apps.
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e take a look at using Swiftiply+swiftiplied_mongrel
evented_mongrel instead of the threaded mongrel and look again. I
think that in many cases a person can run a lot fewer processes than
they are, and still get the same, or maybe even better throughput.
Once your CPUs are at max utilization, more proces
in a multithreaded context, when one thread goes to sleep, the others
just get the execution cycles. It's artificial, though. Read Ruby
web apps don't tend to have latencies like that. When they are
waiting, they are waiting inside of things that block the entire Ruby
process, and not ju
g multithreaded.
It's not very difficult, actually, to do it. Just make a copy of the
rails.rb mongrel handler for Rails. Remove the bit that wraps the
call to Dispatcher.dispatch() in a @guard.synchronize block.
Whether all of Rails is actually threadsafe, an
go any way to help
> this, assuming the adapter is re-entrant?
With Rubinius (or JRuby) it is not the same issue because they are
using OS level threads.
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a rather impressive traffic load on a single process, depending
on your framework. And second, running the same code in an event
based pipeline versus a multithreaded pipeline invariably gives me
better peformance in my apps.
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e way, so you just need to bring all the resources available
to the process to bear on one problem at a time.
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2.6.x platforms), instead of select. I've been saying for two
weeks, now, "This week" but...hopefully this week I get to the
light at the end of the tunnel. ;)
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eries are very slow, then there
may be room to use some of those wasted cycles by using a
multithreaded deployment. It's something that one would really have
to benchmark to know for sure for any given use case.
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mongrel could have many more than 1024
concurrent connections without any problem.
If you read the archives, the subject of keep-alive is somewhat
controversial, though we (the current admin/developer crew on mongrel)
have discussed it at least once. I think it
40k requests/hour on your single server may or may not be a problem.
It all depends on the application. That's only about 11
requests/second, which isn't really a lot.
That's about all that can be said without more information and analysis.
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thing completely obvious.
Tracking down memory leaks in Ruby is a labor intensive process. Good luck.
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C++ extension level, you can also use a tool
like valgrind to analyze running code and see if you can pinpoint
anything that is actualy a problem.
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d to run all of my IOWA apps via unix sockets. I don't do that
anymore, though. There are situations where it can arguably be
useful, but most of the time it just doesn't matter. Any differences
between 127.0.0.1:1 and /path/to/a/unix/socket are lost in the
noise of the rest of the per
t self adjusts to the load it is receiving, with real time
reporting of cluster status.
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nse and
sends it back to the browser.
Mongrel doesn't do anything with databases. That is the purview of
your application. Check with an appropriate Rails forum to see if
anyone knows how to use Seagull with a Rails app.
Kirk Haines
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On 11/1/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> I'm curious to know why the URL classifier was moved from C code to
> Ruby code. I am under the impression that Ruby code is often much
> slower than C extensions. I'm also under the impression that the URL
> classifier is somewhere that sp
implification
represented by switching to a pure ruby solution there was a
beneficial tradeoff, since most people do not have more than a dozen
handlers registered with a mongrel instance, so for most people there
will be no performance loss.
Kirk Haines
_
en its done thing).
It's part of the Swiftiply 0.7.0 feature set. I'm already late on
when I wanted to release it, but realistically, it's probably another
month or so away.
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collector.
Memory usage like that is probably not a Mongrel issue (unless you are
generating _very_ large responses in your application). It's likely
an issue with your code. What version of Ruby are you using? Are you
using any extensions?
Kirk Haines
___
are certain actions which cause the memory
growth. That would help you pinpoint where the likely problems are.
Just use ab or httperf to send a large number of requests to specific
urls in your app, and see how ram usage changes as you do that.
Kirk Haines
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;ll keep
> an eye out for this.
If this bites you, you can migrate to the most recent 1.8.6, or you
can change your code to not use shift. Generally when shift is used,
push is being used to stick things on one end of the array while shift
pulls them off the front.
t try using
evented_mongrel out of the Swiftiply package.
http://swiftiply.swiftcore.org
Just run it in a test environment and see if it helps. For some apps,
it makes a big difference in that thread related RAM creep.
Kirk Haines
P.S. Yes, I WILL have the patch to fix it for Mongrel > 1.
was fixed, but not until 1.8.6. I know it is fixed as of at
least the last couple of patch releases. I am unsure if it was fixed
in the original 1.8.6 release, however.
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try evented_mongrel, you don't need to worry about num_procs.
It's irrelevant for the evented_mongrel.
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27;s no big deal, but if you start pushing
large files around, it will have an impact on your RAM usage. Pushing
huge files via send_file necessarily implies huge RAM usage.
Don't do that. x_send_file is one way to avoid doing that.
Kirk Haines
_
the perspective of the
application (or whatever is running inside a mongrel handler).
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ements in memory carrying around Qnils, but most of the time
that's good enough.
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Just a quick announcement that an update to swiftiplied_mongrel and
evented_mongrel which fixes the incompatibility with Mongrels > 1.0.1
has been released.
http://swiftiply.swiftcore.org
Let me know if you have any problems.
Kirk Haines
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re out there?
My old servers are 32 bit machines, but my new ones are all 64 bit machines.
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ays passed
around when talking about extending the timeout period. Maybe there
is some db issue with a _really_ long timeout like 1209600?
> Which 64-bit OS are you running?
Right now I have Ubuntu and CentOS 64 bit machines.
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