A common practice to offload traffic from MySQL 5.6 is to use a caching layer to store expensive result sets or objects. Some typical use cases include: Complicated query result set (search results, recent users, recent posts, etc) Full page output (relatively static pages) Full objects (user or cart object built from several queries) Infrequently [...]
Announcing Percona Server for MySQL version 5.1.67-14.4
March 8, 2013 By Leave a Comment
Percona is glad to announce the release of Percona Server for MySQL version 5.1.67-14.4 on March 8, 2013 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.1.67, including all the bug fixes in it, Percona Server 5.1.67-14.4 is now the current stable release in the 5.1 series. All of Percona‘s software is open-source and free, all the details [...]
Announcing Percona Server for MySQL version 5.5.29-30.0
February 26, 2013 By Leave a Comment
Percona is glad to announce the release of Percona Server for MySQL version 5.5.29-30.0 on February 26th, 2013 (Downloads are available here and from the Percona Software Repositories). Based on MySQL 5.5.29, including all the bug fixes in it, Percona Server 5.5.29-30.0 is now the current stable release in the 5.5 series. All of Percona‘s software is open-source and free, all the details [...]
Analyzing Slow Query Table in MySQL 5.6
February 18, 2013 By 1 Comment
Next week I’m teaching an online Percona Training class, called Analyzing SQL Queries with Percona Toolkit. This is a guided tour of best practices for pt-query-digest, the best tool for evaluating where your database response time is being spent. This month we saw the GA release of MySQL 5.6, and I wanted to check if any [...]
Avoiding SST when adding new Percona XtraDB Cluster node
August 2, 2012 By Leave a Comment
Some people want to use a backup to prepare a new Percona XtraDB Cluster node. They want this to avoid State Snapshot Transfer that could slow down the donor (depending of the SST method you are using, the donor can be blocked. I will cover this in a future blog post). As backup are generally [...]
Improved InnoDB fast index creation
November 6, 2011 By 4 Comments
One of the serious limitations in the fast index creation feature introduced in the InnoDB plugin is that it only works when indexes are explicitly created using ALTER TABLE or CREATE INDEX. Peter has already blogged about it before, here I’ll just briefly reiterate other cases that might benefit from that feature: when ALTER TABLE [...]
Shard-Query adds parallelism to queries
November 15, 2010 By 18 Comments
Preamble: On performance, workload and scalability: MySQL has always been focused on OLTP workloads. In fact, both Percona Server and MySQL 5.5.7rc have numerous performance improvements which benefit workloads that have high concurrency. Typical OLTP workloads feature numerous clients (perhaps hundreds or thousands) each reading and writing small chunks of data. The recent improvements to [...]
Using CHAR keys for joins, how much is the overhead ?
June 18, 2007 By 18 Comments
I prefer to use Integers for joins whenever possible and today I worked with client which used character keys, in my opinion without a big need. I told them this is suboptimal but was challenged with rightful question about the difference. I did not know so I decided to benchmark. The results below are for [...]
Cache Performance Comparison
August 9, 2006 By 74 Comments
Jay Pipes continues cache experiements and has compared performance of MySQL Query Cache and File Cache. Jay uses Apache Benchmark to compare full full stack, cached or not which is realistic but could draw missleading picture as contribution of different components may be different depending on your unique applications. For example for application containing a [...]
Handling big result sets
June 26, 2006 By 13 Comments
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 | +----------+ |
