On a recent multi person project, we’ve used a subversion client to directly pull the latest project files into the web directory. We do so because its a complicated environment that we have not yet created individual sandboxes for. To test a change, the code must be committed to subversion and then we execute “svn export” on the webserver to pull the latest files from our subversion repository directly to the web directory. The only downside seemed like we were going to have a crazy number of revisions. But we’ve also run into one other problem: APC.
For those of us who took an intro database class, the topic of database normalization was covered ad homonym as an absolute necessity in any database design. So, it takes a little bit of effort to pull yourself away from such a time tested concept. But, sometimes its absolutely necessary. (For those who are not familiar with the term, database normalization basically means “don’t repeat any information ever”).
Let’s say you have a social network site with a huge table of private messages between users with each row representing an individual message between two users. Each time a user logs in you want to query the number of unread messages to the user with a query like:
select count(*) from privatemessages where unread = 1 and userid = $userid
However, you find that because your private messages table is 6gb’s large and that some users have thousands of messages that the query is taking an unacceptably long time to run. So what do you do?
You could use a cache such as Memcached to store the number of unread messages for each user in memory, which would yield a significant improvement. However, Memcached still needs to occasionally run the query. To speed up the query, you break database normalization. Why not create another table called privatemessagescount which could store the number of unread messages per user (with columns “userid” and “numunread”). Each time the user receives a new message or reads a new message there will be an additional write to the DB, but it will be a simple write. And more importantly, your reads will be much faster because you will be looking up on a primary key (“userid”). Now the query simply becomes
select numunread from privatemessagescount where userid = $userid
So for performance sakes you’ve broken database normalization and added additional overhead to your application. But, I’d rather have a fast site than a normalized site that is too slow to be used.
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Hey all, I’m Sameer Parwani a 24 year old web developer from Massachusetts. I aim to use this blog to contribute to the tech community with my own thoughts, tips, insights, and so on. Hopefully, I’ll soon get to making the blog more customized, but for now I’m using this simple nice theme from the guys over at Blog2life.
I am the owner and creator of RateDesi.com and RateHispanic.com which are 2003 era social networks from the time when the word “social network” did not exist. I’ve also lately been working on Funki.jp as well as some other projects I can’t mention here. I’ll try to add a portfolio or resume to the site soon.
