On July 24 at 10 a.m. PDT, I will be delivering a Webinar on Advanced MySQL Query Tuning. I will focus on optimizing the common slow queries with group by and order by. Those queries usually create temporary tables and perform a “filesort” operation. I will show how to optimize those queries so that they will be running significantly faster, which will increase the application performance and decrease MySQL load.
I presented a similar topic in April at the Percona Live MySQL Conference and Expo 2013. This webinar, however, will be more advanced and will also cover some additional topics like “loose and tight index scan”. I will also show some real world examples and solutions for MySQL query optimizations.
You can register for the Webinar here. And that same link will let you register to view the recording of this webinar.
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More info: Tuning MySQL queries and indexes can significantly increase the performance of your application and decrease response times.
Topics in this webinar include:
1. GROUP BY and ORDER BY optimization
2. MySQL temporary tables and filesort
3. Using covered indexes to optimize your queries
4. Loose and tight index scans in MySQL
WHEN: Wednesday, July 24, 2013 10:00am Pacific Daylight Time
Register now to reserve your spot.
Resources
RELATED POSTS
I’m unable to ‘attend’ the webinar, but Id love to watch your talk. Please consider offering a youtube or download after the event, thanks!
Hi Paul, all of our webinars are recorded and available for playback anytime here: https://www.percona.com/webinars
Hope that helps.
Tom, Excellent 🙂 Thanks for the reply.
Hey Alexander, will you be scheduling more of these webinars?
I have 5 tables (amazon,ebay,opencart,sears,jet) I want common records from all table on first priority then common records from any of the two ya three tables tables then uncommon records.
my tables and data are as follows:
CREATE TABLE IF NOT EXISTS `amazon` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`a_upc` varchar(50) DEFAULT NULL,
`a_sku` varchar(50) DEFAULT NULL,
`a_title` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ;
—
— Dumping data for table `amazon`
—
INSERT INTO `amazon` (`id`, `a_upc`, `a_sku`, `a_title`) VALUES
(1, ‘upc_a’, ‘sku1’, ‘title_a’),
(2, ‘upc1’, ‘sku_a’, ‘title_a_1’);
CREATE TABLE IF NOT EXISTS `jet` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`j_upc` varchar(50) DEFAULT NULL,
`j_sku` varchar(50) DEFAULT NULL,
`j_title` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ;
—
— Dumping data for table `jet`
—
INSERT INTO `jet` (`id`, `j_upc`, `j_sku`, `j_title`) VALUES
(1, ‘upc1’, ‘sku_j’, ‘title_j’),
(2, ‘upc_j’, ‘sku_j_1’, ‘title1’);
CREATE TABLE IF NOT EXISTS `ebay` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`e_upc` varchar(50) DEFAULT NULL,
`e_sku` varchar(50) DEFAULT NULL,
`e_title` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ;
—
— Dumping data for table `ebay`
—
INSERT INTO `ebay` (`id`, `e_upc`, `e_sku`, `e_title`) VALUES
(1, ‘upc_e’, ‘sku1’, ‘title_e’),
(2, ‘upc1’, ‘sku_e’, ‘title_e_1’),
(3, ‘upc_e_1’, ‘sku2’, ‘title1’);
CREATE TABLE IF NOT EXISTS `opencart` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`o_upc` varchar(50) DEFAULT NULL,
`o_sku` varchar(50) DEFAULT NULL,
`o_title` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ;
—
— Dumping data for table `opencart`
—
INSERT INTO `opencart` (`id`, `o_upc`, `o_sku`, `o_title`) VALUES
(1, ‘upc_a’, ‘sku1’, ‘title_o’),
(2, ‘upc1’, ‘sku_o’, ‘title1’);
CREATE TABLE IF NOT EXISTS `sears` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`s_upc` varchar(50) DEFAULT NULL,
`s_sku` varchar(50) DEFAULT NULL,
`s_title` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ;
—
— Dumping data for table `sears`
—
INSERT INTO `sears` (`id`, `s_upc`, `s_sku`, `s_title`) VALUES
(1, ‘upc1’, ‘sku_s’, ‘title_s’),
(2, ‘upc_s’, ‘sku_s_1’, ‘title_s_1’);