May 22, 2013

MySQL 5.6 vs MySQL 5.5 and the Star Schema Benchmark

March 11, 2013 By 7 Comments

So far most of the benchmarks posted about MySQL 5.6 use the sysbench OLTP workload.  I wanted to test a set of queries which, unlike sysbench, utilize joins.  I also wanted an easily reproducible set of data which is more rich than the simple sysbench table.  The Star Schema Benchmark (SSB) seems ideal for this. [...]

Filed Under: MySQL Tagged With: , , , , ,

InnoDB Full-text Search in MySQL 5.6: Part 2, The Queries!

March 4, 2013 By 7 Comments

This is part 2 in a 3 part series. In part 1, we took a quick look at some initial configuration of InnoDB full-text search and discovered a little bit of quirky behavior; here, we are going to run some queries and compare the result sets. Our hope is that the one of two things [...]

Filed Under: Insight for DBAs, Insight for Developers, MySQL Tagged With: , , , , ,

How Can Percona MySQL Server Development Services Help ?

January 28, 2013 By 3 Comments

At Percona we offer a number of services. One of them, Custom MySQL Server Development, is commonly the most misunderstood and undervalued. There are a lot of ways Percona custom MySQL server development can help your business be more successful with MySQL. Here are some ways: Bugs – There are Bugs in MySQL, Percona Server, [...]

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

DROP TABLE and stalls: Lazy Drop Table in Percona Server and the new fixes in MySQL

June 22, 2012 By 33 Comments

Suppose you have turned on innodb_file_per_table (which means that each table has its own tablespace), and you have to drop tables in a background every hour or every day. If its once every day then you can probably schedule the table dropping process to run during off-peak hours. But I have seen cases where the [...]

Filed Under: Benchmarks, Insight for DBAs, MySQL

A case for MariaDB’s Hash Joins

May 31, 2012 By Leave a Comment

MariaDB 5.3/5.5 has introduced a new join type “Hash Joins” which is an implementation of a Classic Block-based Hash Join Algorithm. In this post we will see what the Hash Join is, how it works and for what types of queries would it be the right choice. I will show the results of executing benchmarks [...]

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Benchmarks of new innodb_flush_neighbor_pages

January 17, 2012 By 8 Comments

In our recent release of Percona Server 5.5.19 we introduced new value for innodb_flush_neighbor_pages=cont. This way we are trying to deal with the problem of InnoDB flushing.

Filed Under: Benchmarks, Insight for DBAs, MySQL

Three ways that the poor man’s profiler can hurt MySQL

December 2, 2011 By 19 Comments

Over the last few years, Domas’s technique of using GDB as a profiler has become a key tool in helping us analyze MySQL when customers are having trouble. We have our own implementation of it in Percona Toolkit (pt-pmp) and we gather GDB backtraces from pt-stalk and pt-collect. Although it’s helped us figure out a [...]

Filed Under: Insight for DBAs, MySQL

Side load may massively impact your MySQL Performance

November 13, 2011 By 7 Comments

When we’re looking at benchmarks we typically run some stable workload and we run it in isolation – nothing else is happening on the system. This is not however how things happen in real world when we have significant variance in the load and many things can be happening concurrently. It is very typical to [...]

Filed Under: Benchmarks, Insight for DBAs, MySQL

Using any general purpose computer as a special purpose SIMD computer

May 16, 2011 By 5 Comments

Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very expensive process unless the work can be done in parallel. Shard-Query introduces set based processing, which on the surface appears [...]

Filed Under: 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
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