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Tools for analysing Rails and Apache logs for performance

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README.textile

Rails Log Analysis

During some performance analysis for a client of a client (LVS) I needed some tools to analyse Rails and Apache log files. The utilities in this repository are simply the current state of those tools, shared in case anyone finds them of interest.

Rails Log Analyser

This is one of the best utilities! A Rails log often gets lines from different requests interleaved within each other, making it difficult to see what a particular request logged. This utility sorts this out. There are two ways of using this:

./rails_log_analyser production.log -l

Which will output for each request: an id, the Controller/Action, the time taken and the status code. You can then view the log output for one or more of these requests with:

./rails_log_analyser production.log -s 243 1012

Where the numbers are the ids are the ids given in the -l output.

Passenger DTrace script

This dtrace script prints out a summary of times spent in each method, sorted by total time with a file and count. The way I use it is to do the following (from a Rails application):

touch tmp/restart.txt
curl http://my-local-domain/controller/action
sudo passenger-status
# (find out passenger pid)
sudo dtrace -s rb_linetime.d -p $pid > log

Then in another window do:

curl http://my-local-domain/controller/action

Then Ctrl-C the dtrace window when it finishes. Up until now I’ve been “grep -v”ing Ruby.framework, vendor/rails, (eval), gems to just try to get to the main code. I know there will be bits where we call a standard Ruby method far too many times, or likely the same in the Rails framework, but for now I’m concentrating on the big hitters so this serves me well.

Access Log Request Sizer

This utility is simply run with the name of an Apache log file (in common format) after it and it will print out the top 20 URLs based on the size of the request:

./access_log_request_sizer access.log_20090825

Access Log Grapher

Using a log format like the following:

LogFormat "%v:%p %h %{X-Forward-For}i %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\" %T/%D \"%{X-Runtime}o\"" passenger_combined

This utility will produce a graph of Response times, using the Gruff library, and open it using the ‘open’ command on your (Mac OS X) system.

./access_log_grapher access.log_20090825

Caching Visualiser

At LVS we have some Rails Middleware (not sure if I’m allowed to release that code or not as it’s kinda core, so I won’t) that does full page caching in memcached. I tweaked it while doing the performance analysis to log output using a prefix of CACHING_MIDDLEWARE. This utility analyses a Rails log and prints a constantly updating page of Passenger process IDs and what they are doing with the cache, reading, getting a lock to generate a cached page, generating the page and saving it to the cache. It goes lightning fast unless you alter the case statement within the display method to slow down certain line ranges.

It works best if you fly through it and note where things start going crazy, then edit the script and slow down that region.

./caching_visualiser production.log

Passenger Sampler Analyser

This is really only an internal use tool (for the LVSers that visit this page). We have a script called sample.rb that we run in a sleeping while loop to sample things like Passenger children usage, load average, etc. This tool takes those stats and graphs them nicely, opening the result as per Access Log Grapher.

./passenger_mon_grapher data.csv
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