I use Aspersa tools a lot and I find myself going to the website just to download one of the tools all the time. I love I can download maatkit with a simple wget maatkit.org/get/tool command so I made bit.ly shortcuts for all of the current aspersa tools. Here’s the full list with my favorite [...]
Innodb row size limitation
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.
Optimizing slow web pages with mk-query-digest
I don’t use many tools in my consulting practice but for the ones I do, I try to know them as best as I can. I’ve been using mk-query-digest for almost as long as it exists but it continues to surprise me in ways I couldn’t imagine it would. This time I’d like to share [...]
MySQL caching methods and tips
“The least expensive query is the query you never run.” Data access is expensive for your application. It often requires CPU, network and disk access, all of which can take a lot of time. Using less computing resources, particularly in the cloud, results in decreased overall operational costs, so caches provide real value by avoiding [...]
Maatkit’s mk-query-digest filters
Have you ever seen BIG weird numbers in mk-query-digest report that just seem wrong? I have! Here’s one report I got today:
Using Flexviews – part one, introduction to materialized views
If you know me, then you probably have heard of Flexviews. If not, then it might not be familiar to you. I’m giving a talk on it at the MySQL 2011 CE, and I figured I should blog about it before then. For those unfamiliar, Flexviews enables you to create and maintain incrementally refreshable materialized [...]
Spreading .ibd files across multiple disks; the optimization that isn’t
Inspired by Baron’s earlier post, here is one I hear quite frequently – “If you enable innodb_file_per_table, each table is it’s own .ibd file. You can then relocate the heavy hit tables to a different location and create symlinks to the original location.” There are a few things wrong with this advice:
Lost innodb tables, xfs and binary grep
Before I start a story about the data recovery case I worked on yesterday, here’s a quick tip – having a database backup does not mean you can restore from it. Always verify your backup can be used to restore the database! If not automatically, do this manually, at least once a month. No, seriously [...]
An argument for not using mysqldump
I have a 5G mysqldump which takes 30 minutes to restore from backup. That means that when the database reaches 50G, it should take 30×10=5 hours to restore. Right? Wrong.
Sharing an auto_increment value across multiple MySQL tables
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:
1 2 3 4 5 | 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); # $connection->insert_id(); |
Option #2: Use a table with one just row:
1 2 3 4 5 6 | 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; SELECT @id; |

