April 21, 2014

Give feedback on a pt-online-schema-change update

I am writing a specification for updating pt-online-schema-change. The outline of the changes I want to make is here: http://www.percona.com/docs/wiki/ptdev:blueprints:redesign-pt-online-schema-change The idea is to make the tool Do The Right Thing, with features such as automatically throttling its operation to avoid causing replicas to lag. Many of the features and improvements are similar to those […]

Solving INFORMATION_SCHEMA slowness

Many of us find INFORMATION_SCHEMA painfully slow to work it when it comes to retrieving table meta data. Many people resort to using file system tools instead to find for example how much space innodb tables are using and things like it. Besides being just slow accessing information_schema can often impact server performance dramatically. The […]

Star Schema Bechmark: InfoBright, InfiniDB and LucidDB

In my previous rounds with DataWarehouse oriented engines I used single table without joins, and with small (as for DW) datasize (see http://www.mysqlperformanceblog.com/2009/10/02/analyzing-air-traffic-performance-with-infobright-and-monetdb/, http://www.mysqlperformanceblog.com/2009/10/26/air-traffic-queries-in-luciddb/, http://www.mysqlperformanceblog.com/2009/11/02/air-traffic-queries-in-infinidb-early-alpha/). Addressing these issues, I took Star Schema Benchmark, which is TPC-H modification, and tried run queries against InfoBright, InfiniDB, LucidDB and MonetDB. I did not get results for MonetDB, will […]

Google’s user_statistics V2 port and changes

Recently Google published V2 release of patches, one of them user_statistics we use in our releases. New features are quite interesting so we decided to port it to fresh releases of MySQL. Features includes: New statistics per user (Cpu_time, Bytes_received, Bytes_sent, etc) New command SHOW CLIENT_STATISTICS, which shows statistics per client’s hostname, not per user […]

How people are using MySQL… from 1 user to 100 million (upcoming conference talk)

MySQL can be deployed in several ways, and that means you can choose a tailor-made path that best meets your needs. With simple services or development systems, many people are using a single server with some backups configured, and then simply take the downtime when a restore is needed. As the application evolves, additional requirements […]

Quickly finding unused indexes (and estimating their size)

I had a customer recently who needed to reduce their database size on disk quickly without a lot of messy schema redesign and application recoding.  They didn’t want to drop any actual data, and their index usage was fairly high, so we decided to look for unused indexes that could be removed. Collecting data It’s […]

On Character Sets and Disappearing Tables

The MySQL manual tells us that regardless of whether or not we use “SET FOREIGN_KEY_CHECKS=0″ before making schema changes, InnoDB will not allow a column referenced by a foreign key constraint to be modified in such a way that the foreign key will reference a column with a mismatched data type. For instance, if we […]

Percona Server and XtraBackup weekly news, February 19th

This week’s announcement is short: last week was pretty much all-hands-on-deck for our first 5.5.8 release. Still, it wasn’t ALL about the new release: The beta release of Percona Server 5.5.8 is out! More details in the release notes. There are ongoing discussions about parallel replication, as well as customer requests for enhancements to row-based […]

Percona Server 5.1.53-12.4

Percona Server version 5.1.53-12.4 is now available for download. It is now the current stable release version. Functionality Added or Changed  Percona Server 5.1.53-12.4 is based on MySQL 5.1.53.  New Features Added: Precompiled UDFs for Maatkit (FNV and MurmurHash hash functions to provide faster checksums) are now included in distributions. Fixes feature request #689992. (Aleksandr Kuzminsky) […]

Estimating Replication Capacity

It is easy for MySQL replication to become bottleneck when Master server is not seriously loaded and the more cores and hard drives the get the larger the difference becomes, as long as replication remains single thread process. At the same time it is a lot easier to optimize your system when your replication runs […]