I'm implementing a Leaderboard into my django web app and don't know the best way to do it. Currently, I'm just using SQL to order my users and, from that, make a Leaderboard, however, this creates two main problems:
Performance is shocking. I've only tried scaling it to a few hundred users but I can tell calculating ranking is slow and excessive caching is annoying since I need users to see their ranking after they are added to the Leaderboard.
It's near-impossible to tell a user what position they are without performing the whole Leaderboard calculation again.
I haven't deployed but I estimate about 5% updates to Leaderboard vs 95% reading (probably more, actually) the Leaderboard. So my latest idea is to calculate a Leaderboard again each time a user is added, with a position field I can easily sort by, and no need to re-calculate to display a user's ranking.
However, could this be a problem if multiple users are committing at the same time, will locking be enough or will rankings stuff up? Additionally, I plan to put this on a separate database solely for these leaderboards, which is the best? I hear good things about redis...
Any better ways to solve this problem? (anyone know how SO makes their leaderboards?)
I've written a number of leaderboards libraries that would help you out there. The one that would be of immediate use is python-leaderboard, which is based on the reference implementation leaderboard ruby gem. Using Redis sorted sets, your leaderboard will be ranked in real-time and there is a specific section on the leaderboard page with respect to performance metrics for inserting a large number of members in a leaderboard at once. You can expect to rank 1 million members in around 30 seconds if you're pipelining writes.
If you're worried about the data changing too often in real-time, you could operate Redis in a master-slave configuration and have the leaderboards pull data from the slave, which would only poll periodically from the master.
Hope this helps!
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With