Search Results for: alter myisam table to innodb

Percona XtraBackup: Open Source Alternative for InnoDB Hot Backup call for ideas

For long time as main backup solution for MySQL on Linux we have been using LVM snapshots. Performance concerns from performance critical envinronment caused us to do LVM performance research which showed horrible results forcing us to look at more performing alternatives. Innodb Hot Backup is a good working solution but it is not Open […]

AUTO_INCREMENT and MERGE TABLES

How would you expect AUTO_INCREMENT to work with MERGE tables ? Assuming INSERT_METHOD=LAST is used I would expect it to work same as in case insertion happens to the last table… which does not seems to be the case. Alternatively I would expect AUTO_INCREMENT to be based off the maximum value across all tables, respecting […]

ANALYZE: MyISAM vs Innodb

Following up on my Previous Post I decided to do little test to see how accurate stats we can get for for Index Stats created by ANALYZE TABLE for MyISAM and Innodb. But before we go into that I wanted to highlight about using ANALYZE TABLE in production as some people seems to be thinking […]

Quick tip: how to convert tables to InnoDB

I use Maatkit for a lot of grunt work and thought you might appreciate this quick tip. Suppose you have a bazillion tables to convert from MyISAM to InnoDB, but they are mixed in with other tables that are already InnoDB, or are another storage engine that you don’t want to touch.

Here’s a […]

Recovering Innodb table Corruption

Assume you’re running MySQL with Innodb tables and you’ve got crappy hardware, driver bug, kernel bug, unlucky power failure or some rare MySQL bug and some pages in Innodb tablespace got corrupted. In such cases Innodb will typically print something like this: InnoDB: Database page corruption on disk or a failed InnoDB: file read of […]

Using VIEW to reduce number of tables used

Many Open Source software solutions use database per user (or set of tables per user) which starts to cause problems if it is used on massive scale (blog hosting, forum hosting etc), resulting of hundreds of thousands if not millions of tables per server which can become really inefficient. It is especially inefficient with Innodb […]