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September 21, 2010 We spend quite a lot of time at 10gen supporting MongoDB users. The questions we receive are truly legion but, as you might guess, they tend to overlap. We get frequent queries on sharding, replica sets, and the idiosyncrasies of JavaScript, but the one subject that never fails to appear each day on our mailing list is indexing. Now, to be clear, I’m not talking about how to cre
December 12, 2009 If you’re accustomed to working with relational databases, the thought of specifying aggregations with map-reduce may be a bit intimidating. Here, in the third in a series of articles on MongoDB aggregation, I explain map-reduce. After reading this, and with a little practice, you’ll be able to apply the map-reduce paradigm to a huge number of aggregation problems. A comments exa
April 30, 2010 There are still a number of misconceptions regarding MongoDB’s suitability for e-commerce sites. I refer, in particular, to this stackoverflow posting. The hesitant reaction there expressed is understandable, as most of the databases falling under the NoSQL umbrella would fare poorly in an e-commerce setting. But this is not the case with MongoDB. Indeed, with its support for rich d
November 22, 2009 MongoDB provides some powerful aggregation functions. This is the first in a series of articles detailing the syntax, patterns, and use cases for these functions. Here, as an introduction, we cover the basics of count(), distinct(), and group(). count() simply returns the number of documents in a collection. Suppose we have a collection where each document represents a pageview.
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