Re: [spray-routing] Performance Issue

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jo...@gecemmo.com

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Mar 4, 2013, 2:16:27 PM3/4/13
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Hi,
Interesting, I currently work with spray but haven't seen this behavior. By the way, the graph is not visible just a bunch of base64 characters in the post :)

On Monday, March 4, 2013 6:28:57 PM UTC+1, James Kavanagh wrote:
Hi there,

Firstly let me say I'm really impressed with spray-routing and its DSL which makes things very simple when putting together http based services. Thanks for the hard work!

I've been asked to write a prototype RESTful service that performs a simple addition of a supplied number with 42 and performance test this comparing the results with other languages/frameworks. To be clear, the service http call will be http://hostname:port/add42/[number] where number is an integer.
With spray-routing the implementation is fairly simple:

class HttpResfulAdderRoutingActor extends Actor with HttpServiceActor {

  def receive = runRoute {
    path("add42" / IntNumber) {
      num : Int =>
        get {
          complete {
            (42+num).toString
          }
        }
    }
  }

}

My test is performed on an 4 core (8 with hyperthreading) machine and I've allocated 512Mb of heap space.
I'm running the test using JMeter. The test spawns 50 threads and calls the service with random numbers recording response times and TPS.

Now here's the problem; What I notice is that initially the application copes well with the load but shortly afterward the CPU utilisation drops and requests are not being processed.
This state seems to last between 5-10 seconds before resuming again but recurs soon afterwards.
After performing a thread dump at the point where the CPU use has dipped and response times increased I see that all the akka dispatchers are in the following state:

com-cisco-clif-services-HttpBootstrap-akka.actor.default-dispatcher-10 [WAITING] CPU time: 0:06
sun.misc.Unsafe.park(boolean, long)
akka.jsr166y.ForkJoinPool.scan(ForkJoinPool$WorkQueue)
akka.jsr166y.ForkJoinPool.runWorker(ForkJoinPool$WorkQueue)
akka.jsr166y.ForkJoinWorkerThread.run()

I initially thought the problem might be due to GC but after checking activity, pauses are minimal. Heap consumption is also minimal peaking at around 150Mb.
Below is a graph that illustrates the transactions per second during the test.

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...

Mathias

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Mar 5, 2013, 3:46:42 AM3/5/13
to spray...@googlegroups.com
James,

this sounds interesting and probably warrant further analysis.
If your example is that small: would you be able to put it into a gist or a github project so we can play around with it?

Cheers,
Mathias

---
mat...@spray.io
http://spray.io

On 04.03.2013, at 18:28, James Kavanagh <james.k...@gmail.com> wrote:

> Hi there,
>
> Firstly let me say I'm really impressed with spray-routing and its DSL which makes things very simple when putting together http based services. Thanks for the hard work!
>
> I've been asked to write a prototype RESTful service that performs a simple addition of a supplied number with 42 and performance test this comparing the results with other languages/frameworks. To be clear, the service http call will be http://hostname:port/add42/[number] where number is an integer.
> With spray-routing the implementation is fairly simple:
>
> class HttpResfulAdderRoutingActor extends Actor with HttpServiceActor {
>
> def receive = runRoute {
> path("add42" / IntNumber) {
> num : Int =>
> get {
> complete {
> (42+num).toString
> }
> }
> }
> }
>
> }
>
> My test is performed on an 4 core (8 with hyperthreading) machine and I've allocated 512Mb of heap space.
> I'm running the test using JMeter. The test spawns 50 threads and calls the service with random numbers recording response times and TPS.
>
> Now here's the problem; What I notice is that initially the application copes well with the load but shortly afterward the CPU utilisation drops and requests are not being processed.
> This state seems to last between 5-10 seconds before resuming again but recurs soon afterwards.
> After performing a thread dump at the point where the CPU use has dipped and response times increased I see that all the akka dispatchers are in the following state:
>
> com-cisco-clif-services-HttpBootstrap-akka.actor.default-dispatcher-10 [WAITING] CPU time: 0:06
> sun.misc.Unsafe.park(boolean, long)
> akka.jsr166y.ForkJoinPool.scan(ForkJoinPool$WorkQueue)
> akka.jsr166y.ForkJoinPool.runWorker(ForkJoinPool$WorkQueue)
> akka.jsr166y.ForkJoinWorkerThread.run()
>
> I initially thought the problem might be due to GC but after checking activity, pauses are minimal. Heap consumption is also minimal peaking at around 150Mb.
> Below is a graph that illustrates the transactions per second during the test.
>
>
>
>
> There are no specific configuration settings other than those provided defaults which come with Akka and spray.
> I'm using Scala 2.9.1 and my dependencies are as follows:
> "io.spray" % "spray-can" % "1.0-M7",
> "io.spray" % "spray-routing" % "1.0-M7",
> "com.typesafe.akka" % "akka-actor" % "2.0.4"
> It's all running on Java 1.7.0_13 (64 bit) under Ubuntu.
>
> I've also written another prototype in Netty which performs the same function but the response times and tps are consistent throughout the test.
>
> I appreciate there may not be enough detail here to give a comprehensive answer but is there something simple that I may be missing i.e. application switch or configuration setting that might resolve the problem?
> I will continue to dig further but if anyone has any ideas I'd be very grateful!
>
> Cheers,
> James
>
>
>
> --
> You received this message because you are subscribed to the Google Groups "spray-user" group.
> To unsubscribe from this group and stop receiving emails from it, send an email to spray-user+...@googlegroups.com.
> For more options, visit https://groups.google.com/groups/opt_out.
>
>

James Kavanagh

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Mar 5, 2013, 6:53:37 AM3/5/13
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Hi Mathias,

Thanks for your response and apologies for the inline base64 :) I've attached the image to this post now to illustrate the issue.
As requested I've committed the code to github with a README which explains how to build and run the app:
https://github.com/jamezk/spray-routing-add42/
Let me know if you need any more info.

Cheers,
James
jmeter-test-result.png

Johannes Rudolph

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Mar 5, 2013, 10:02:03 AM3/5/13
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Hi James,

it seems the problem is the jmeter process. When I run the test I can reproduce the problem you are seeing. It seems the jmeter process is taking full cpu load after a while spinning in the kernel. Can you check if this is what you are seeing? Are you using Linux?

Johannes
--
Johannes

-----------------------------------------------
Johannes Rudolph
http://virtual-void.net

James Kavanagh

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Mar 5, 2013, 10:28:29 AM3/5/13
to spray...@googlegroups.com, johannes...@googlemail.com
Hi Johannes,

Yes I'm using Linux, Ubuntu 12.04.
To be clear with what you're asking:
1) Are you running JMeter and the application on the same machine?
2) If so are you suggesting that JMeter is consuming CPU thereby starving the application or just that JMeter is not doing anything during the observed dip i.e. not sending requests?

James

Johannes Rudolph

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Mar 5, 2013, 10:33:08 AM3/5/13
to James Kavanagh, spray...@googlegroups.com
On Tue, Mar 5, 2013 at 4:28 PM, James Kavanagh <james.k...@gmail.com> wrote:
> Yes I'm using Linux, Ubuntu 12.04.
> To be clear with what you're asking:
> 1) Are you running JMeter and the application on the same machine?

Yes.

> 2) If so are you suggesting that JMeter is consuming CPU thereby starving
> the application or just that JMeter is not doing anything during the
> observed dip i.e. not sending requests?

Yes. Actually, on my machine it seems the linux kernel spins while
trying to create connect in the test in jmeter. So it's not only
possibly starving the server but in the first place isn't able to
connect at all.

Can you try if

sysctl net.ipv4.tcp_tw_reuse=1

solves the issue?

I think I found an issue [1] which might be connected.

--
Johannes

[1] https://bugs.launchpad.net/percona-playback/+bug/1059330

James Kavanagh

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Mar 5, 2013, 11:45:15 AM3/5/13
to spray...@googlegroups.com, James Kavanagh, johannes...@googlemail.com
Ok I see.

As previously mentioned in my original post (addmittedly at the end of all that base64 encoding :)), I have written a functionally identical service using Netty.
If I run that locally I don't see any dips at all, the test runs with consistent response times and TPS.
I've comitted that code here so you can try that out too:
https://github.com/jamezk/netty-add42
It contains a readme which explains how to get it running but let me know if you have any problems.

You'll notice when you run the test that the TPS is around 2x that of the spray server which I guess is sort of expected but I didn't think there would be such a dramatic difference. Note you'll need to modify the test thread group increasing the number of loops because otherwise the test finishes before you see a comparative timeline.

In terms JMeter starving the server I tested the application connecting to a remote machine and observed identical results so logic says that's not the problem but I will try what you suggest anyway and let you know if that makes a difference.

James
Message has been deleted

James Kavanagh

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Mar 6, 2013, 12:01:24 PM3/6/13
to spray...@googlegroups.com, James Kavanagh, johannes...@googlemail.com
Hey again Johannes,

So I modified the reuse settings as suggested. This now seems to have alleviated the issue somewhat.
After doing some more analysis I found that the spray implementation was creating a connection for each incoming request. This connection was then staying in a TIME_WAIT state for a long time after the request was complete. After about a minute into the test the number of connections in that state would reach ~28k. Subsequent attempts to create connections were failing due to resource limits and that's what was causing the problem, hence the dip in TPS.
After setting the reuse flag using sysctl the number of connections in TIME_WAIT levels out at ~3100 which means the client does not get blocked when attempting to obtain new connections.

Not sure how the Akka side of things compares with Netty but after performing similar analysis on the Netty implementation no connections are ever left in a TIME_WAIT state. After debugging I found that server sockets created by Netty had the ServerSocket.getReuseAddress() set to true when created regardless of whether the flag was set using sysctl. Whether this has a bearing on the time wait state I have to say I'm not sure.

Also I found that setting the following instead of the reuse flag you suggested keeps the number of connections in TIME_WAIT state down to around 350max.
sysctl -w net.ipv4.tcp_tw_recycle=1

I've attached a script to this post that displays the number of open connections that the server has when you supply the address its listening on and the port.

Hopefully all this is useful info.

James
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