April 16, 2014

Limited disk space? Compact backups with Percona Xtrabackup 2.1

One very interesting feature, “Compact Backup,” is introduced in Percona XtraBackup 2.1. You can run “compact backups” with the  –compact option, which is very useful for those who have limited disk space to keep the database backup. Now let’s first understand how it works. When we are using –compact option with Innobackupex, it will omit the secondary […]

Migrating between MySQL schemas with Percona Xtrabackup

Recently, I was working with a client that asked about using Percona Xtrabackup to take a snapshot of a particular MySQL schema and then reload it with a different schema name on the same server.  It caught me off guard because I’d never really thought about it – typically, I’ve used Xtrabackup simply to clone […]

Percona Server 5.5.10 (Release Candidate)

Percona Server release 5.5.10-20.1 is now available for download. This is a release candidate for the Percona Server 5.5 series. In addition to MySQL 5.5.10 now being the base version, here are the changes that have been made since Percona Server beta release 5.5.8-20.0:

XtraDB: The Top 10 enhancements

Note: This post is part 2 of 4 on building our training workshop. Last week I talked about why you don’t want to shard. This week I’m following up with the top 10 enhancements that XtraDB has over the built-in InnoDB included in MySQL 5.0 and 5.1.  Building this list was not really a scientific […]

Copying InnoDB tables between servers

The feature I announced some time ago http://www.mysqlperformanceblog.com/2009/06/08/impossible-possible-moving-innodb-tables-between-servers/ is now available in our latest releases of XtraBackup 0.8.1 and XtraDB-6. Now I am going to show how to use it (the video will be also available on percona.tv). Let’s take tpcc schema and running standard MySQL ® 5.0.83, and assume we want to copy order_line […]

Adjusting Innodb for Memory resident workload

As larger and larger amount of memory become common (512GB is something you can fit into relatively commodity server this day) many customers select to build their application so all or most of their database (frequently Innodb) fits into memory. If all tables fit in Innodb buffer pool the performance for reads will be quite […]