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POmysql optimization
 

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    <p>I am building a site with lots and lots of filters. Every time you click/narrow down your search, all counters get recalculated for all filters. I've realized that I have created somewhat of a problem here because on every click, I am recounting all filters by doing about ~50 count queries. This will create quite a significant database load when there are many users using the site at once..</p> <p>The filter counters look like this in case you want more context: <a href="http://screencast.com/t/3bxrWTAtm" rel="nofollow">http://screencast.com/t/3bxrWTAtm</a></p> <p>What is the best way to optimize these counts? I could use memcache but that would have to be cached for about 15-30 mins max as new listings could show up. </p> <p>Here is an example of one of the COUNT queries: </p> <pre><code>SELECT COUNT(id) AS numOfRows FROM (SELECT `id`, `theLatitude`, `theLongitude`, ( 3959 * acos( cos( radians(45.5086699) ) * cos( radians( theLatitude ) ) * cos( radians( theLongitude ) - radians(-73.5539925) ) + sin( radians(45.5086699) ) * sin( radians( theLatitude ) ) ) ) AS distance FROM `housing` WHERE (`elevator` = '1') AND ( `property-type` = 'loft' ) HAVING distance &lt; 75) AS `newid` </code></pre> <p>Housing table looks like this:</p> <pre><code>CREATE TABLE IF NOT EXISTS `housing` ( `id` varchar(10) NOT NULL, `date` datetime NOT NULL, `user` varchar(20) NOT NULL, `email` varchar(50) NOT NULL, `title` varchar(60) NOT NULL, `address` varchar(120) DEFAULT NULL, `formatted_address` varchar(120) NOT NULL, `theLatitude` double DEFAULT NULL, `theLongitude` double DEFAULT NULL, `property-type` varchar(20) NOT NULL, `square-feet` int(9) DEFAULT NULL, `bathrooms` double NOT NULL DEFAULT '0', `bedrooms` int(2) NOT NULL DEFAULT '0', `price` int(10) DEFAULT NULL, `priceUSD` int(10) NOT NULL, `currency` varchar(3) DEFAULT NULL, `period` varchar(5) DEFAULT NULL, `lease-terms` varchar(20) NOT NULL, `available-from` date NOT NULL, `contactName` varchar(30) NOT NULL, `contactPhone1` varchar(30) NOT NULL, `contactPhone2` varchar(30) NOT NULL, `description` text NOT NULL, `cats` tinyint(1) NOT NULL DEFAULT '0', `small-dogs` tinyint(1) NOT NULL DEFAULT '0', `small-pets` tinyint(1) NOT NULL DEFAULT '0', `big-dogs` tinyint(1) NOT NULL DEFAULT '0', `alarm-system` tinyint(1) NOT NULL DEFAULT '0', `air-conditioning` tinyint(1) NOT NULL DEFAULT '0', `balcony` tinyint(1) NOT NULL DEFAULT '0', `carpet-floors` tinyint(1) NOT NULL DEFAULT '0', `dishwasher` tinyint(1) NOT NULL DEFAULT '0', `electricity` tinyint(1) NOT NULL DEFAULT '0', `fireplace` tinyint(1) NOT NULL DEFAULT '0', `furniture` tinyint(1) NOT NULL DEFAULT '0', `heating` tinyint(1) NOT NULL DEFAULT '0', `high-ceilings` tinyint(1) NOT NULL DEFAULT '0', `hot-water` tinyint(1) NOT NULL DEFAULT '0', `natural-gas` tinyint(1) NOT NULL DEFAULT '0', `spa-hot-tub` tinyint(1) NOT NULL DEFAULT '0', `refrigerator` tinyint(1) NOT NULL DEFAULT '0', `stove` tinyint(1) NOT NULL DEFAULT '0', `storage-space` tinyint(1) NOT NULL DEFAULT '0', `walk-in-closets` tinyint(1) NOT NULL DEFAULT '0', `washer-dryer` tinyint(1) NOT NULL DEFAULT '0', `doorman` tinyint(1) NOT NULL DEFAULT '0', `elevator` tinyint(1) NOT NULL DEFAULT '0', `health-facilities` tinyint(1) NOT NULL DEFAULT '0', `inside-parking` tinyint(1) NOT NULL DEFAULT '0', `laundry-facilities` tinyint(1) NOT NULL DEFAULT '0', `outside-parking` tinyint(1) NOT NULL DEFAULT '0', `pool-sauna` tinyint(1) NOT NULL DEFAULT '0', `wheelchair-access` tinyint(1) NOT NULL DEFAULT '0', `authnumber` varchar(15) NOT NULL, `validated` tinyint(1) NOT NULL DEFAULT '0', </code></pre> <p>PRIMARY KEY (<code>id</code>) ) ENGINE=MyISAM DEFAULT CHARSET=latin1;</p> <p>There are 50+ fields that a user can filter by.</p> <p>Anything to point me in the right direction would be greatly appreciated.</p>
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    1. COWhat `indexes` do you have on your `housing` table?
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    2. COI just started optimizing but I intend to put indexes on id, date, user, email, theLatitude and theLongitude. I'm not sure adding indexes to all the other fields would help.. although I am ok with indexing everything is that helps, even if it takes more space or slows down inserts/updates (those don't happen that often).
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    3. COif anybody is looking for a pretty good slideshare about mysql EXPLAIN -> http://www.slideshare.net/phpcodemonkey/mysql-explain-explained
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