I have a simple Rails app deployed on a 500 MB Slicehost VPN. I'm the only one who uses the app. When I run it on my laptop, it's fast enough. But the deployed version is insanely slow. It take 6 to 10 seconds to load the login screen.
I would like to find out why it's so slow. Is it my code? (Don't think so because it's much faster locally, but maybe.) Is it Slicehost's server being overloaded? Is it the Internet?
Can someone suggest a technique or set of steps I can take to help narrow down the cause of this problem?
Update:
Sorry forgot to mention. I'm running it under CentOS 5 using Phusion Passenger (AKA mod_rails or mod_rack).
If it is just slow on the first time you load it is probably because of passenger killing the process due to inactivity. I don't remember all the details but I do recall reading people who used cron jobs to keep at least one process alive to avoid this lag that can occur with passenger needed to reload the environment.
Edit: more details here
Specifically - pool idle time defaults to 2 minutes which means after two minutes of idling passenger would have to reload the environment to serve the next request.
First, find out if there's a particularly slow response from the server. Use Firefox and the Firebug plugin to see how long each component (including JavaScript and graphics) takes to download. Assuming the main page itself is what is taking all the time, you can start profiling the application. You'll need to find a good profiler, and as I don't actually work in Ruby on Rails, I can't suggest any: google "profile ruby on rails" for some options.
As YenTheFirst points out, the server software and config you're using may contribute to a slowdown, but A) slicehost doesn't choose that, you do, as Slicehost just provides very raw server "slices" that you can treat as dedicated machines. B) you're unlikely to see a script that runs instantly suddenly take 6 seconds just because it's running as CGI. Something else must be going on. Check how much RAM you're using: have you gone into swap? Is the login slow only the first time it's hit indicating some startup issue, or is it always that slow? Is static content served slow? That'd tend to mean some network issue (either on the Slicehost side, or your local network) is slowing things down, assuming you're not in swap.
When you say "fast enough" you're being vague: does the laptop version take 1 second to the Slicehost 6? That wouldn't be entirely surprising, if the laptop is decent: after all, the reason slices are cheap is because they're a fraction of a full server. You're using probably 1/32 of an 8 core machine at Slicehost, as opposed to both cores of a modern laptop. The Slicehost cores are quick, but your laptop could be a screamer compared to 1/4 of core. :)
Try to pint point where the slowness lies
1/ application is slow, or infrastructure (network + web server)
put a static file on your web server, and access it through your browser
2/ If it is fast, it is probable a problem with application + server configuration.
database access is slow
try a page with a simpel loop: is it slow?
3/ If it slow, it is probably your infrastructure. You can check:
bad network connection: do a packet capture (with Wireshark for example) and look for retransmissions, duplicate packets, etc.
DNS resolution is slow?
server is misconfigured?
etc.
What is Slicehost using to serve it?
Fast options are things like: Mongrel, or apache's mod_rails (also called passenger phusion or
something like that)
These are dedicated servers (or plugins to servers) which run an instance of your rails app.
If your host isn't using that, then it's probably defaulting to CGI. Rails comes with a simple CGI script that will serve the page, but it reloads the app for every page.
(edit: I suspect that this is the most likely case, that your app is running off of the CGI in /webapp_directory/public/dispatch.cgi, which would explain the slowness. This tends to be a default deployment on many hosts, since it doesn't require extra configuration on their part, but it doesn't give good performance)
If your host supports "Fast CGI", rails supports that too. Fast CGI will open a CGI session, and keep it open for multiple pages, so you get much better performance, but it's not nearly as good as Mongrel or mod_rails.
Secondly, is it in 'production' or 'development' mode? The easy way to tell is to go to a page in your app that gives an error. If it shows you a stack trace, it's in development mode, which is slower than production mode. Mongrel and mod_rails have startup options to determine whether to run the app in production or development mode.
Finally, if your database is slow for whatever reason, that will be a big bottleneck as well. If you do have a good deployment (Mongrel/mod_rails/etc.) in production mode, try looking into that.
Do you have a lot of data in your DB? I would double check that you have indexed all the appropriate columns- because this can make a huge difference. On your local dev system, you probably have a lot more memory than on your 500 mb slice, which would result in the DB running a lot slower if you have big, un indexed tables. You can also run the slow queries logger in MySql to pinpoint columns without indexes.
Other than that, yes- passenger will need to spool up a process for you if you have not been using the site recently. If this is the case, you should see a significant speed increase on second, and especially third and later page loads.
You might want to run a local virtual machine with 500 MB. Are you doing a lot of client-server interaction? Delays over the WAN are significant
You might want to check out RPM (there's a free "lite" version too) and/or New Relic's Tune Up.
Your CPU time is guaranteed by Slicehost using the Xen virtualization system, so it's not that. Don't have the other answers for you, sorry! Might try 'top' on a console while you're trying to access the page.
If you are using FireFox and doing localhost testing (or maybe even on LAN) you may want to try editing the network.dns.disableIPv6 setting.
Type about:config in the address bar and filter for network.dns.disableIPv6 and double-click to set to true.
This bug has been reported mainly from Vista OS's, but some others as well.
You could try running 'top' when you SSH in to see which process is heavy. If you also have problems logging you, perhaps you may try getting Statistics in the Slicehost manager.
If you discover it is MySQL's fault, consider decreasing the number of servers it can spawn.
512 seems decent for Rails application, you might have to check if you misconfigured too.
Related
We are running 2 rails application on server with 4GB of ram. Both servers use rails 3.2.1 and when run in either development or production mode, the servers eat away ram at incredible speed consuming up-to 1.07GB ram each day. Keeping the server running for just 4 days triggered all memory alarms in monitoring and we had just 98MB ram free.
We tried active-record optimization related to bloating but still no effect. Please help us figure out how can we trace the issue that which of the controller is at fault.
Using mysql database and webrick server.
Thanks!
This is incredibly hard to answer, without looking into the project details itself. Though I am quite sure you won't be using Webrick in your target production build(right?), so check if it behaves the same under Passenger or whatever is your choice.
Also without knowing the details of the project I would suggest looking at features like generating pdfs, csv parsing, etc. Seen a case, where generating pdf files have been eating resources in a similar fashion, leaving like 5mb of not garbage collected memory for each run.
Good luck.
Recently our ruby on rails application was upgraded to 2.3.8. We also replaced Mongrel/Mongrel cluster with Phusion Passenger during upgrade.
Whenever we try to deploy our application, it seems to be responding faster initially but response time gradually increases. We also noticed that cpu usage on the database box spiking to 400% and lot of requests waiting in global queue. This seems to be happening only in our production environment.
Can anyone let me know how I should go about debugging this issue?
Is there anyway we can restrict the number of connections between passenger and DB?
Also is there a way we can setup connection pooling in passenger?
Thanks,
Sivakumar.
I don't think the issue is with Passenger. If you are having a large spike on your DB box CPU, your issue probably lies there. Without more information about your database it's hard to give you specifics, but here are a few things you could try:
Run top and check how much of your total memory the mysqld or other database process is consuming. If this amount is not high then you probably need to tune MySQL settings to take advantage of the RAM on your DB box.
Analyze your running database queries with the mytop command. You might have some queries that are hogging all of your system resources or causing lots of swapping.
Look through your MySQL slow log and see if you have queries that are taking over 1 second to run.
Check your database engines. Are you using MYISAM and/or InnoDB? You might need to tune your database differently so that it can allocate the proper amount of memory and resources to each engine.
Consult a DBA. They'll be able to take a look at your usage and application and tell you more definitively if the issue lies with your database or application.
P.S: I would recommend upgrading to Passenger 3, it performs better than Passenter 2.
I have been working to deploy a relatively large Rails app (Rails 2.3.5) and recently doing some load testing we discovered that the throughput for the site is way below the expected level of traffic.
We were running on a standard 32bit server, 3GB of RAM with Centos, and we were running Ruby Enterprise Edition (latest build), Passenger (Latest build) and Nginx (Latest build) - when there is only one or two users the site runs fine (as you would expect) however when we try to ramp up the load to ~50 concurrent requests it completely dies. (Apache Bench report ~2.3 req/sec, which is terrible)
We are running RPM and trying to determine where the load issue is, but it's pretty evenly distributed across Rails, SQL and Memcached, so we're more or less going through and optimizing the codebase.
Out of sheer desperation we spun up a large EC2 instance (Ubuntu 9.10, 7.5GB RAM, 2 Compute Units/Cores) and setup the same configuration as the original server, and while there are more resources we were still seeing pathetic results.
So, after spending too much time trying to optimize, playing with caching configuration etc I decided to test the throughput of some mongrels, and ta-da, they are performing much much better then Passenger.
Currently the configuration is 15x Mongrels being proxied via Nginx, and we seem to be meeting our load requirements just but it's not quite enough to make me comfortable with going live... What I was wondering is if anyone knows of some possible causes for this...?
My configuration for passenger/nginx was:
Nginx workers: tried between 1 and 10, usually three though.
Passenger max pool size: 10 - 30 (yes, these numbers are quite high)
Passenger global queueing: tried both on and off.
NGinx GZip on: yes
It might pay to note that we had increased the nginx max client body size to 200m to allow for large file uploads.
Anyway suggestions would be really appreciated, while the mongrels are working fine it changes how we do things a lot and I would really prefer to use Passenger - besides, wasn't it supposed to make this easier and perform better?
Maybe your sql pool size is too small? This essentially limits the parallelism of database workloads in your application which in turn builds up to much increased load as soon as you put work on your app stack...
As a first step I would deploy a minimal "Hello World" type Rails application to your environment and see what throughput you get with that. Doing that will at least tell you if your problem is with the environment or somewhere in your application.
I have recently installed Nginx + Thin on my deployment server, but i am not sure how this will perform in last requests & responses situation. lets say 1000/req per sec.
so the speed on thin is good with 10-100 req /per sec
I wanted to know on higher volumes of data being processed on the request/response cluster.
Guide me on this :-)
Multiple thin processes and nginx are capable of providing lots of speed, depending on what your application is doing. So, the problem will be your application code, the speed of your application server, and your database server.
Scaling Rails has been recently covered in depth by the Scaling Rails Screencasts. I recommend you start there. My 5 step program to scaling Rails would be:
First step is to have the tools to look at what is slow in your application. Do not spend time optimizing everything in your application when you don't know what the problem is.
The easiest way to be able to handle lots of requests/second is with page caching.
If you can't do that, cache everything possible (fragment caching, use memcached to cache data, etc), to speed up your application.
After that, optimize your application as best as possible, make SQL queries fast, index everything, etc.
If you still need more speed, throw more hardware at the problem. Get a big, powerful database server, a bunch of app servers, and proxy your requests across them. You can start here, too, but it will only delay the optimization process.
If you have a single server I think that the main key is, apart from everything already mentioned, is don't skimp on the specs of it. Trying to get too much to run on too little is just a recipe for disaster.
It is also a good idea to get monit or God monitoring your thin instances, I started out with God, but it leaked memory pretty bad on Ruby 1.8.6 so I stop using it in favour of monit. Monit is written in C I believe and has a tiny memory footprint so I'd recommend that one.
If all that seems like a bit much to keep nginx and thin playing nicely you may want to look into an all in one solution like Passenger or LiteSpeed. I have very little experience with these so can offer no substancial advice for them.
I'm running into a problem in a Rails application.
After some hours, the application seems to start hanging, and I wasn't able to find where the problem was. There was nothing relevant in the log files, but when I tried to get the url from a browser nothing happened (like mongrel accept the request but wasn't able to respond).
What do you think I can test to understand where the problem is?
I might get voted down for dodging the question, but I recently moved from nginx + mongrel to mod_rails and have been really impressed. Moving to a much simpler setup will undoubtedly save me headaches in the future.
It was a really easy transition, I'd highly recommend it.
Are you sure the problem is caused by Mongrel? Have you tried running your application under WEBrick?
There are a few things you can check, but since you say there's nothing in the logs to indicate error, it sounds like you might be running into a bug when using the log rotation feature of the Logger class. It causes mongrel to lock up. Instead of relying on Logger to rotate your logs, consider using logrotate or some other external log rotation service.
Does this happen at a set number of hours/days every time? How much RAM do you have?
I had this same problem. The couple options I had narrowed it down to were MySQL adapter related. I was running on Red Hat Enterprise Linux 4 (or 5) and the app would hang after a given amount of idle time.
One suggested solution was to compile native MySQL bindings, I had been using the pure Ruby one.
The other was to set the timeout on the MySQL adapter higher than what the connection would idle out on. (I don't have the specific configuration recorded, but as I recall it was in environment.rb and it was some class variable in the mysql adapter.)
I don't recall if either of those solutions fixed it, we moved to Ubuntu shortly after that and hadn't had a problem since.
Check the Mongrel FAQ:
http://mongrel.rubyforge.org/wiki/FAQ
From my experience, mongrel hangs when:
the log file got too big (hundreds of megabytes in size). you have to setup log rotation.
the MySQL driver times out
you have to change the timeout settings of your MySQL driver by adding this to your environment.rb:
ActiveRecord::Base.verification_timeout = 14400
(this is further explained in the deployment section of the FAQ)
Unfortunately, Rails (and thereby Mongrel) using up too much memory over time and crashing is a known problem (50K+ Google entries for "Ruby, rails, crashing, memory"). The current ruby interpreter has the property that it sometimes simply fails entirely to give memory back to the system - it may reuse the memory it has but it won't give it up.
There are numerous schemes for monitoring, killing and restarting Mongrel instances in a production environment - for example: (choosing at random) rails monitor . Until the problem is fixed more decisively, one of these may be your best bet.
We have experienced this same issue. First off, install the mongrel_proctitle gem
http://github.com/rtomayko/mongrel_proctitle/tree/master
This gem/plugin will allow you to view the mongrel processes via "ps" and you can see if a Mongrel is hung. An issue we have seen with Mongrel is that it will happily accept connections and enqueue them, then wedge itself. This plugin will help you see when a Mongrel has been wedged but then you must use another monitoring app to actually restart a a wedged Mongrel, something like Monit or God
You might also want to consider putting a more balanced reverse proxy in front of your Mongrels, something HAproxy, instead of nginx, Apache or Lighttpd. With a setting of "maxconn 1" in HAproxy you can assure that the queue is being maintained by HAproxy versus Mongrel. The other reverse proxies (nginx, Apache, Lighttpd) only do round-robin which means that they can load up your Mongrel queue, inadvertently.
My personal choice is God as it is much more flexible.
tl;dr Install this gem plugin and keep an eye on your Mongrels. Try Apache+Phusion Passenger.