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POOptimize MySQL query
 

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  1. POOptimize MySQL query
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    <p>I have a database that stores products. The two biggest tables are my products table and images table. Products: ~19.000 rows</p> <p>Images: ~34.000 rows</p> <p>Categories: ~60 rows</p> <p>Raw categories: ~1200 rows</p> <p>Brands: 700 rows</p> <p>(The other tables are only a couple of rows)</p> <p>I also have a table with brands, raw categories, static categories (the raw categories are mapped to a static category).</p> <p>I have created a Product VIEW to gather the data I need, like this:</p> <pre><code>CREATE OR REPLACE VIEW `jos_clothes_view_products` AS SELECT tbl.*, r.name AS reseller, b.name AS brand, rcat.raw_name AS cats_raw, cats1.name AS cat1, cats1.slug AS catslug1, cats2.name AS cat2, cats2.slug AS catslug2 FROM `jos_clothes_products` AS tbl LEFT JOIN `jos_clothes_brands` AS b ON b.clothes_brand_id = tbl.clothes_brand_id LEFT JOIN `jos_clothes_resellers` AS r ON r.clothes_reseller_id = tbl.clothes_reseller_id LEFT JOIN `jos_clothes_catraws` AS rcat ON rcat.clothes_catraw_id = tbl.clothes_catraw_id LEFT JOIN `jos_clothes_categories` AS cats2 ON cats2.clothes_category_id = rcat.clothes_category_id LEFT JOIN `jos_clothes_categories` AS cats1 ON cats1.clothes_category_id = cats2.parent_id </code></pre> <p>Then when running a query like this from PHP:</p> <pre><code>SELECT `tbl`.* FROM `jos_clothes_view_products` AS `tbl` WHERE `tbl`.`cat1` != 'NULL' AND `tbl`.`enabled` = '1' ORDER BY `created_on` DESC , `ordering` ASC LIMIT 0 , 20; </code></pre> <p>The query is often very slow! Not always though (probably because of caching?). I have also noticed that it creates a tmp-table at about 200MB in size. Sometimes it gets even bigger and fails with "Invalid key for file....".</p> <p>Any ideas how I can optimize the query? Or the VIEW actually, I guess it's the bottleneck here. Correct?</p> <p>Product table structure:</p> <pre><code>CREATE TABLE IF NOT EXISTS `jos_clothes_products` ( `clothes_product_id` bigint(20) unsigned NOT NULL auto_increment, `clothes_reseller_id` bigint(20) unsigned NOT NULL, `aff_prod_id` varchar(50) NOT NULL, `title` varchar(255) NOT NULL, `description` text NOT NULL, `gender` varchar(20) NOT NULL, `clothes_brand_id` bigint(20) unsigned NOT NULL, `color` varchar(255) NOT NULL, `size` varchar(50) NOT NULL, `clothes_catraw_id` bigint(20) unsigned NOT NULL, `price` decimal(10,2) NOT NULL default '0.00', `shipping_cost` varchar(20) NOT NULL default '0.00', `currency` varchar(10) NOT NULL, `availibility` tinyint(1) NOT NULL, `product_url` varchar(350) NOT NULL, `real_url` varchar(300) NOT NULL, `slug` varchar(255) NOT NULL, `hits` int(11) NOT NULL, `enabled` tinyint(1) NOT NULL default '0', `access` int(11) NOT NULL default '0', `ordering` bigint(20) unsigned NOT NULL, `created_on` datetime NOT NULL default '0000-00-00 00:00:00', `created_by` int(11) NOT NULL default '0', `modified_on` datetime NOT NULL default '0000-00-00 00:00:00', `modified_by` int(11) NOT NULL default '0', `locked_on` datetime NOT NULL default '0000-00-00 00:00:00', `locked_by` int(11) NOT NULL default '0', PRIMARY KEY (`clothes_product_id`), KEY `clothes_brand_id` (`clothes_brand_id`), KEY `clothes_catraw_id` (`clothes_catraw_id`), KEY `created_on` (`created_on`), KEY `clothes_reseller_id` (`clothes_reseller_id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=18962 ; </code></pre> <p>Any ideas?</p> <p>Best Regards</p> <p>EDIT: Structure of jos_clothes_catraws</p> <pre><code>-- -- Struktur för tabell `jos_clothes_catraws` -- CREATE TABLE IF NOT EXISTS `jos_clothes_catraws` ( `clothes_catraw_id` int(11) unsigned NOT NULL auto_increment, `clothes_category_id` int(11) unsigned NOT NULL default '0', `clothes_reseller_id` int(11) unsigned NOT NULL, `raw_name` varchar(255) NOT NULL, PRIMARY KEY (`clothes_catraw_id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=1289 ; </code></pre>
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    1. COHave you tried an EXPLAIN on the statement? http://dev.mysql.com/doc/refman/5.5/en/explain.html Also check the related questions for this as these sort of questions have been answered a lot of times. I would also suggest using MERGE tables for massive tables.
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      1. USRasika
    2. COHave you indexed all the *_id columns?
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      1. POOptimize MySQL query
      1. USPaul Schreiber
    3. CO19,000 product rows currently, and yet you have choosen to use a bigint for the auto-inc key (and your other FK keys) ?
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      1. POOptimize MySQL query
      1. USMitch Wheat
 

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