Prior to version 5.0, MySQL could only use one index per table in a given query without any exceptions; folks that didn’t understand this limitation would often have tables with lots of single-column indexes on columns which commonly appeared in their WHERE clauses, and they’d wonder why the EXPLAIN plan for a given SELECT would […]
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Ever ran into a situation where you saw “some important variable you really needed to know about=<optimized out>” while debugging?
Preparing Optimizing MySQL Configuration talk for Percona Live in Washington,DC I noticed how many Variables did MySQL get over years – it is pushing 400 these days even if we do not count variables/options which do not have matching SHOW VARIABLES value, and settings done by changing tables rather than command line options (like much […]
The latest Percona Server release has one new feature: now MEMORY tables can have BLOB and TEXT columns, and VARCHAR columns will not waste space due to implicit extension to CHAR.
Shard-Query is an open source tool kit which helps improve the performance of queries against a MySQL database by distributing the work over multiple machines and/or multiple cores. This is similar to the divide and conquer approach that Hive takes in combination with Hadoop. Shard-Query applies a clever approach to parallelism which allows it to […]
The title is SEO bait – you can’t do it. We’ve seen a few recurring patterns trying to achieve similar – and I thought I would share with you my favorite two: Option #1: Use a table to insert into, and grab the insert_id:
CREATE TABLE option1 (id int not null primary key auto_increment) engine=innodb;
# each insert does one operations to get the value:
INSERT INTO option1 VALUES (NULL);
Option #2: Use a table with one just row:
CREATE TABLE option2 (id int not null primary key) engine=innodb;
INSERT INTO option2 VALUES (1); # start from 1
# each insert does two operations to get the value:
UPDATE option2 SET id=@id:=id+1;
This is part 3 of our series.Â In part 1 we talked about boosting performance with memcached on top of MySQL, in Part 2 we talked about running 100% outside the data with memcached, and now in Part 3 we are going to look at a possible solution to free you from the database.Â The […]
Part 1 of our series set-up our “test”Â application and looked at boosting performance of the application by buffer MySQL with memcached.Â Our test application is simple and requires only 3 basic operations per transaction 2 reads and 1 write.Â Using memcached combined with MySQL we ended up nearly getting a 10X performance boost from […]
I’m happy to extend a warm welcome to two new members of the Percona team.
First is Yves Trudeau, about whom I can say many things:
One of the top MySQL Cluster (NDB Cluster) experts in the world.
An expert on all things High Availability, including DRBD and Heartbeat.
Many years of experience with Huge Data.
Half of the Waffle Grid team.
A really nice person!
Yves joins us after a tenure of several years as a senior consultant at Sun/MySQL. Together with Matt Yonkovit, he plans to work on WaffleGrid (…
Accidentally me and Baron played with InfoBright (see http://www.percona.com/blog/2009/09/29/quick-comparison-of-myisam-infobright-and-monetdb/) this week. And following Baron’s example I also run the same load against MonetDB. Reading comments to Baron’s post I tied to load the same data to LucidDB, but I was not successful in this. I tried to analyze a bigger dataset and I took public […]