May 24, 2013

MySQL 5.5 and MySQL 5.6 default variable values differences

February 21, 2013 By 8 Comments

As the part of analyzing surprising MySQL 5.5 vs MySQL 5.6 performance results I’ve been looking at changes to default variable values. To do that I’ve loaded the values from MySQL 5.5.30 and MySQL 5.6.10 to the different tables and ran the query:

Lets go over to see what are the most important changes [...]

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

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 [...]

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

Join Optimizations in MySQL 5.6 and MariaDB 5.5

April 4, 2012 By 4 Comments

This is the third blog post in the series of blog posts leading up to the talk comparing the optimizer enhancements in MySQL 5.6 and MariaDB 5.5. This blog post is targeted at the join related optimizations introduced in the optimizer. These optimizations are available in both MySQL 5.6 and MariaDB 5.5, and MariaDB 5.5 [...]

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Identifying the load with the help of pt-query-digest and Percona Server

December 29, 2011 By 3 Comments

Overview Profiling, analyzing and then fixing queries is likely the most oft-repeated part of a job of a DBA and one that keeps evolving, as new features are added to the application new queries pop up that need to be analyzed and fixed. And there are not too many tools out there that can make [...]

Filed Under: Insight for DBAs, MySQL

Distributed Set Processing with Shard-Query

May 14, 2011 By 27 Comments

Can Shard-Query scale to 20 nodes? Peter asked this question in comments to to my previous Shard-Query benchmark. Actually he asked if it could scale to 50, but testing 20 was all I could due to to EC2 and time limits. I think the results at 20 nodes are very useful to understand the performance: [...]

Filed Under: MySQL

Shard-Query EC2 images available

May 11, 2011 By 2 Comments

Infobright and InnoDB AMI images are now available There are now demonstration AMI images for Shard-Query. Each image comes pre-loaded with the data used in the previous Shard-Query blog post. The data in the each image is split into 20 “shards”. This blog post will refer to an EC2 instances as a node from here [...]

Filed Under: MySQL

Performance Schema tables stats

May 2, 2011 By 2 Comments

My previous benchmark on Performance Schema was mainly in memory workload and against single tables. Now after adding multi-tables support to sysbench, it is interesting to see what statistic we can get from workload that produces some disk IO. So let’s run sysbench against 100 tables, each 5000000 rows (~1.2G ) and buffer pool 30G. [...]

Filed Under: MySQL

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

Modeling MySQL Capacity by Measuring Resource Consumptions

March 8, 2011 By 1 Comment

There are many angles you can look at the system to predict in performance, the model baron has published for example is good for measuring scalability of the system as concurrency growths. In many cases however we’re facing a need to answer a question how much load a given system can handle when load is [...]

Filed Under: Insight for DBAs, MySQL

Estimating Replication Capacity

July 20, 2010 By 4 Comments

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 [...]

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