Databases
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    <p>I've switched a small subproject from MySQL to CouchDB, to be able to handle the load. The result was amazing.</p> <p>About 2 years ago, we've released a self written software on <a href="http://www.ubuntuusers.de/" rel="noreferrer">http://www.ubuntuusers.de/</a> (which is probably the biggest German Linux community website). The site is written in Python and we've added a WSGI middleware which was able to catch all exceptions and send them to another small MySQL powered website. This small website used a hash to determine different bugs and stored the number of occurrences and the last occurrence as well.</p> <p>Unfortunately, shortly after the release, the traceback-logger website wasn't responding anymore. We had some locking issues with the production db of our main site which was throwing exceptions nearly every request, as well as several other bugs, which we haven't explored during the testing stage. The server cluster of our main site, called the traceback-logger submit page several k times per second. And that was a way too much for the small server which hosted the traceback logger (it was already an old server, which was only used for development purposes).</p> <p>At this time CouchDB was rather popular, and so I decided to try it out and write a small traceback-logger with it. The new logger only consisted of a single python file, which provided a bug list with sorting and filter options and a submit page. And in the background I've started a CouchDB process. The new software responded extremely quickly to all requests and we were able to view the massive amount of automatic bug reports.</p> <p>One interesting thing is, that the solution before, was running on an old dedicated server, where the new CouchDB based site on the other hand was only running on a shared xen instance with very limited resources. And I haven't even used the strength of key-values stores to scale horizontally. The ability of CouchDB / Erlang OTP to handle concurrent requests without locking anything was already enough to serve the needs.</p> <p>Now, the quickly written CouchDB-traceback logger is still running and is a helpful way to explore bugs on the main website. Anyway, about once a month the database becomes too big and the CouchDB process gets killed. But then, the compact-db command of CouchDB reduces the size from several GBs to some KBs again and the database is up and running again (maybe i should consider adding a cronjob there... 0o).</p> <p>In a summary, CouchDB was surely the best choice (or at least a better choice than MySQL) for this subproject and it does its job well.</p>
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    1. POWhat scalability problems have you encountered using a NoSQL data store?
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    1. USJim Ferrans
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    1. POWhat scalability problems have you encountered using a NoSQL data store?
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    1. COI think I read somewhere that you could make couchdb do the compression automatically when the uncompressed data reached a certain level...
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