Percona's MySQL & InnoDB performance and scalability blog
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 [...]
A few day ago, a customer came to Percona needing to recover data. Basically, while doing a transfer from one SAN to another, something went wrong and they lost the ibdata1 file, where all the table meta-data is stored. Fortunately, they were running with innodb_file_per_table so the data itself was available. What they could provide [...]
Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very expensive process unless the work can be done in parallel. Shard-Query introduces set based processing, which on the surface appears [...]
Our customers or prospective customers often ask us how we do a performance audit (it’s our most popular service). I thought I should write a blog post that will both answer their question, so I can just reply “read all about it at this URL” and share our methodology with readers a little bit. This [...]
Do you have skip_name_resolve set in your /etc/my.cnf? If not, consider it. DNS works fine, until it doesn’t. Don’t let it catch you off guard. Do you really need to restrict MySQL users based on hostnames? If you don’t, you should probably disable this feature of MySQL’s authentication system. You never know when your hosting [...]
Have you ever seen index which refused to be used even if there is every reason for it to work (from the glance view):
1 2 3 4 5 6 7 | mysql> explain select * from article where article_id=10; +----+-------------+---------+------+---------------+------+---------+------+-------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+---------+------+---------------+------+---------+------+-------+-------------+ | 1 | SIMPLE | article | ALL | PRIMARY | NULL | NULL | NULL | 93490 | Using where | +----+-------------+---------+------+---------------+------+---------+------+-------+-------------+ 1 row in set (0.00 sec) |
Why on the earth index would not be used you would think, even if MySQL is mentioning it in “possible keys” ? Should you try to force it ?
Suboptimal ORDER BY implementation, especially together with LIMIT is often the cause of MySQL Performance problems. Here is what you need to know about ORDER BY … LIMIT optimization to avoid these problems ORDER BY with LIMIT is most common use of ORDER BY in interactive applications with large data sets being sorted. On many [...]
Sometime it is needed to handle a lot of rows on client side. Usual way is send query via mysql_query and than handle the result in loop mysql_fetch_array (here I use PHP functions but they are common or similar for all APIs, including C). Consider table:
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 41 42 43 44 45 | CREATE TABLE `longf` ( `f1` int(11) NOT NULL auto_increment, `f2` date default NULL, `f3` date default NULL, `f4` varchar(14) default NULL, `f5` varchar(6) default NULL, `f6` date default NULL, `f7` smallint(6) default NULL, `f8` smallint(6) default NULL, `f9` varchar(13) default NULL, `f10` varchar(39) default NULL, `f11` int(11) default NULL, `f12` float default NULL, `f13` int(11) default NULL, `f14` smallint(6) default NULL, `f15` varchar(39) default NULL, `f16` date default NULL, `f17` smallint(6) default NULL, `f18` int(11) NOT NULL, `f19` date default NULL, `f20` date default NULL, `f21` varchar(14) default NULL, `f22` varchar(6) default NULL, `f23` date default NULL, `f24` smallint(6) default NULL, `f25` smallint(6) default NULL, `f26` varchar(13) default NULL, `f27` varchar(39) default NULL, `f28` int(11) default NULL, `f29` float default NULL, `f30` int(11) default NULL, `f31` smallint(6) default NULL, `f32` varchar(39) default NULL, `f33` date default NULL, `f34` smallint(6) default NULL, `f35` int(11) NOT NULL, PRIMARY KEY (`f1`) ); select count(*) from longf; +----------+ | count(*) | +----------+ | 5242880 | +----------+ |
MyISAM storage engine has key compression which makes its indexes much smaller, allowing better fit in caches and so improving performance dramatically. Actually packed indexes not a bit longer rows is frequent reason of MyISAM performing better than Innodb. In this article I’ll get in a bit more details about packed keys and performance implications [...]
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