Percona's MySQL & InnoDB performance and scalability blog
This is part 2 in a 3 part series. In part 1, we took a quick look at some initial configuration of InnoDB full-text search and discovered a little bit of quirky behavior; here, we are going to run some queries and compare the result sets. Our hope is that the one of two things [...]
I’ve never been a very big fan of MyISAM; I would argue that in most situations, any possible advantages to using MyISAM are far outweighed by the potential disadvantages and the strengths of InnoDB. However, up until MySQL 5.6, MyISAM was the only storage engine with support for full-text search (FTS). And I’ve encountered many [...]
I recently worked on a customer case where at seemingly random times, inserts would fail with Innodb error 139. This is a rather simple problem, but due to it’s nature, it may only affect you after you already have a system running in production for a while.
New features of InnoDB – compression format and fast index creation sound so promising so I spent some time to research time and sizes on data we have on our production. The schema of one of shards is
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | CREATE TABLE `article87` ( `id` bigint(20) unsigned NOT NULL, `ext_key` varchar(32) NOT NULL, `site_id` int(10) unsigned NOT NULL, `forum_id` int(10) unsigned NOT NULL, `thread_id` varchar(255) CHARACTER SET latin1 NOT NULL, `published` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `crawled` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `subject` varchar(255) NOT NULL, `title` varchar(255) NOT NULL, `url` varchar(255) NOT NULL, `num_links` smallint(6) NOT NULL, `links_in` int(10) unsigned NOT NULL, `cache_author` varchar(255) NOT NULL, `cache_site` varchar(255) DEFAULT NULL, `anchor` varchar(255) NOT NULL, `isthread` tinyint(3) unsigned NOT NULL, `author_id` int(10) unsigned NOT NULL, `inserted` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `fromfile` varchar(255) NOT NULL, `language_id` tinyint(3) unsigned NOT NULL, `encoding` varchar(255) NOT NULL, `warning` mediumtext NOT NULL, `is_thread_start` tinyint(3) unsigned NOT NULL, `source` mediumint(8) unsigned NOT NULL, `hash` char(32) NOT NULL, `mod_is` tinyint(3) unsigned NOT NULL DEFAULT '0', `is_adult` tinyint(3) unsigned NOT NULL DEFAULT '0', `bodyuc` mediumtext NOT NULL, PRIMARY KEY (`id`), KEY `ext_key` (`ext_key`), KEY `forum_id` (`forum_id`,`thread_id`,`published`), KEY `site_id` (`site_id`,`published`), KEY `hash` (`hash`), KEY `forum_id_2` (`forum_id`,`is_thread_start`,`published`), KEY `published` (`published`), KEY `inserted` (`inserted`), KEY `forum_id_3` (`forum_id`,`thread_id`,`is_thread_start`), KEY `site_id_2` (`site_id`,`author_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; |
Looking for documentation for read_rnd_buffer_size you would find descriptions such as “The read_rnd_buffer_size is used after a sort, when reading rows in sorted order. If you use many queries with ORDER BY, upping this can improve performance” which is cool but it does not really tell you how exactly read_rnd_buffer_size works as well as which [...]
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