<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>Simon Willison's Weblog: increment</title><link href="http://simonwillison.net/" rel="alternate"/><link href="http://simonwillison.net/tags/increment.atom" rel="self"/><id>http://simonwillison.net/</id><updated>2009-06-30T19:28:43+00:00</updated><author><name>Simon Willison</name></author><entry><title>Using Mongo for Real-Time Analytics</title><link href="https://simonwillison.net/2009/Jun/30/analytics/#atom-tag" rel="alternate"/><published>2009-06-30T19:28:43+00:00</published><updated>2009-06-30T19:28:43+00:00</updated><id>https://simonwillison.net/2009/Jun/30/analytics/#atom-tag</id><summary type="html">
    
&lt;p&gt;&lt;strong&gt;&lt;a href="http://www.10gen.com/blog/2009/3/using-mongo-for-real-time-analytics"&gt;Using Mongo for Real-Time Analytics&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
MongoDB supports an “upsert” query, which when combined with the $inc operator can cause counter fields to be incremented if they exist and created otherwise. This makes it a great fit for real-time analytics applications (one increment per page view), something that regular relational databases aren’t particularly good at.


    &lt;p&gt;Tags: &lt;a href="https://simonwillison.net/tags/counters"&gt;counters&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/databases"&gt;databases&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/increment"&gt;increment&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/mongodb"&gt;mongodb&lt;/a&gt;, &lt;a href="https://simonwillison.net/tags/upsert"&gt;upsert&lt;/a&gt;&lt;/p&gt;



</summary><category term="counters"/><category term="databases"/><category term="increment"/><category term="mongodb"/><category term="upsert"/></entry></feed>