May 24, 2013

MySQL and the SSB – Part 2 – MyISAM vs InnoDB low concurrency

May 22, 2013 By Leave a Comment

This blog post is part two in what is now a continuing series on the Star Schema Benchmark. In my previous blog post I compared MySQL 5.5.30 to MySQL 5.6.10, both with default settings using only the InnoDB storage engine.  In my testing I discovered that innodb_old_blocks_time had an effect on performance of the benchmark.  There was [...]

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InnoDB Full-text Search in MySQL 5.6 (part 1)

February 26, 2013 By 1 Comment

I’ve never been a very big fan of MyISAM; I would argue that in most situations, any possible advantages to using MyISAM are far outweighed by the potential disadvantages and the strengths of InnoDB. However, up until MySQL 5.6, MyISAM was the only storage engine with support for full-text search (FTS). And I’ve encountered many [...]

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Find unused indexes

June 30, 2012 By Leave a Comment

I wrote one week ago about how to find duplicate indexes. This time we’ll learn how to find unused indexes to continue improving our schema and the overall performance. There are different possibilites and we’ll explore the two most common here. User Statistics from Percona Server and pt-index-usage. User Statistics User Statistics is an improvement [...]

Filed Under: Insight for DBAs, Insight for Developers, MySQL, Percona Software

MariaDB 5.3 is released as GA!

March 5, 2012 By 17 Comments

Congratulations to Monty Program and the many community contributors for releasing the GA version of MariaDB 5.3. We were in our annual all-staff meeting last week, so we are a little slow to blog about this and acknowledge the great work that has gone into MariaDB. Better late than never, I hope. Before I discuss [...]

Filed Under: Events and Announcements, MySQL

White Paper: Flashcache and MySQL on Virident drive

September 19, 2011 By 2 Comments

Our latest MySQL white paper is Improving Percona Server performance with Flashcache on the Virident tachIOn Drive. (Virident funded the research, but as always, we wrote the report ourselves.) The conclusion is that Flashcache can be good for read-heavy workloads, but more research is needed to understand its performance characteristics on write-heavy workloads. We explain [...]

Filed Under: Benchmarks, Hardware and Storage, MySQL

Preprocessing Data

August 8, 2011 By 3 Comments

There are many ways of improving response times for users. There are some people that spend a lot of time, energy and money on trying to have the application respond as fast as possible at the time when the users made the request. Those people may miss out on an opportunity to do some or [...]

Filed Under: Insight for Developers, MySQL

Shard-Query turbo charges Infobright community edition (ICE)

May 6, 2011 By 23 Comments

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 [...]

Filed Under: MySQL

MySQL caching methods and tips

April 4, 2011 By 5 Comments

“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 [...]

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Flexviews – part 3 – improving query performance using materialized views

April 4, 2011 By 20 Comments

Combating “data drift” In my first post in this series, I described materialized views (MVs). An MV is essentially a cached result set at one point in time. The contents of the MV will become incorrect (out of sync) when the underlying data changes. This loss of synchronization is sometimes called drift. This is conceptually [...]

Filed Under: Insight for DBAs, MySQL

InnoDB Flushing: a lot of memory and slow disk

March 31, 2011 By 57 Comments

You may have seen in the last couple of weekly news posts that Baron mentioned we are working on a new adaptive flushing algorithm in InnoDB. In fact, we already have three such algorithms in Percona Server (reflex, estimate, keep_average). Why do we need one more? Okay, first let me start by showing the current [...]

Filed Under: Benchmarks, Hardware and Storage, Insight for DBAs, MySQL
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