Update: This article is a bit dated, to get the newest and latest Google Analytics Speed Tips, check out the 3 part update about Hosting, Cookie Domains, and JavaScript Loading and Failproofs
Ever notice that sometimes your sites take a while to load all the way because google's urchin.js file is taking forever? You may recognize this problem when you see something similar to this in your browsers status bar "Transferring data from google-analytics.com..."
#!/bin/sh rm /web/user/websites/askapache.com/z/j/urchin.js cd /web/user/websites/askapache.com/z/j/ wget http://www.google-analytics.com/urchin.js chmod 644 /web/user/websites/askapache.com/z/j/urchin.js cd ${OLDPWD} exit 0;
I realized right away that a more modular shell script would be needed.. I admin like 50+ web-sites and it would be stupid to have to type the same block of code 50 times, wget the same file 50 times, etc.. So this version downloads the urchin.js file into a temporary directory, then it copies it OVER the old file for each directory. So 1 GET request for unlimited sites.. The below is just for 2 sites.
#!/bin/sh # SETTINGS export TMP=${HOME}/sites/tmp/ export SH=${HOME}/sites/ export SJ=/public_html/z/j/ export UA="Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.3) Gecko/20070309 Firefox/2.0.0.3" # SITES export S1=htaccesselite.com export S2=askapache.com # RESOURCE URLS L1=http://www.google-analytics.com/urchin.js # SETS CORRECT PERMS AND COPIES TO EACH SITES DOC_ROOT setit(){ chmod 644 *.js cp *.js $SH$1$SJ } cd $TMP curl --header "Pragma:" -A "${UA}" --retry 200 --retry-delay 15 -O ${L1} setit $S1 setit $S2 cd ${OLDPWD} exit 0;
crontab -e
11 12 * * * /web/user/websites/urch.sh >/dev/null 2>&1Or to just check once a week do
0 2 * * 6 /web/user/websites/urch.sh >/dev/null 2>&1Finished! Read on for more in-depth overkill. In the past year urchin.js has only been updated once, yet the Last-Modified header reflects an updated date every request.. not even in a linear fashion I might add! The problem happens when requests for the urchin.js file on google-analytics.com spike, even with load-balancing technologies which are obviously in place. When this happens your browser makes the request for the urchin.js file, but instead of an immediate connection and transfer of the file you get a lagging transfer. One reason is because the server that the urchin.js file is served from does not allow persistant connections.
This object will be fresh for 1 week. It has a validator present, but when a conditional request was made with it, the same object was sent anyway. It doesn't have a Content-Length header present, so it can't be used in a HTTP/1.0 persistent connection.Another big big reason is that even though Cache-Control headers are correctly set by google-analytics when serving urchin.js, Instead of responding to an If-Modified-Since header correctly with a 304 Not Modified header, indicating the file has not been modified, google-analytics instead returns the entire urchin.js file again, thus rendering the cache-control void. You can see this problem with a wireshark capture from an exchange.
GET /urchin.js HTTP/1.1 Accept: */* Referer: https://www.askapache.com Accept-Language: en-us UA-CPU: x86 Accept-Encoding: gzip, deflate If-Modified-Since: Tue, 20 Mar 2007 22:49:11 GMT User-Agent: Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; SU 2.011; .NET CLR 1.1.4322; .NET CLR 2.0.50727; Alexa Toolbar; .NET CLR 3.0.04506.30) Host: www.google-analytics.com Connection: Keep-Alive
HTTP/1.1 200 OK Cache-Control: max-age=604800, public Content-Type: text/javascript Last-Modified: Tue, 20 Mar 2007 22:54:02 GMT Content-Encoding: gzip Server: ucfe Content-Length: 5675 Date: Sat, 24 Mar 2007 18:23:12 GMTOf course you should implement your own caching scheme for best results.
To truly speed up your site, you will want to implement a server-side caching technique. Or you can read more about caching and web cache.
This document supplements the mod_cache, mod_disk_cache, mod_mem_cache, mod_file_cache and htcacheclean reference documentation.
It describes how to use Apache's caching features to accelerate web and proxy serving, while avoiding common problems and misconfigurations.