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 [...]
Multiple MySQL instances on Fusion-io ioDrive
October 7, 2011 By 6 Comments
It is known that MySQL due internal limitations is not able to utilize all CPU and IO resources available on modern hardware. Idea is to run multiple instances of MySQL to gain better performance on Fusion-io ioDrive card. Full report is available in PDF
Reasons for MySQL Replication Lag
July 29, 2011 By 9 Comments
One common theme in the questions our MySQL Support customers ask is MySQL Replication Lag. The story is typically along the lines everything is same as before and for some unknown reason the slave is started to lag and not catching up any more. I always smile at “nothing has changed” claim as it usually [...]
Finding an optimal balance of I/O, CPU, and RAM for MySQL
May 16, 2011 By 4 Comments
For a long time I’ve wanted to know how MySQL scales as you add more memory to the server. Vadim recently benchmarked the effects of increasing memory and CPU core count. He looked for a balance between utilizing the hardware as much as possible, limiting the system complexity, and lowering the price-to-performance ratio. The outcome [...]
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 [...]
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 [...]
Using Flexviews – part two, change data capture
March 25, 2011 By 26 Comments
In my previous post I introduced materialized view concepts. This post begins with an introduction to change data capture technology and describes some of the ways in which it can be leveraged for your benefit. This is followed by a description of FlexCDC, the change data capture tool included with Flexviews. It continues with an [...]
Is VoltDB really as scalable as they claim?
February 28, 2011 By 3 Comments
Before I begin, a disclaimer. VoltDB is not a customer, and did not pay Percona or me to investigate VoltDB’s scalability or publish this blog post. More disclaimers at the end. Short version: VoltDB is very scalable; it should scale to 120 partitions, 39 servers, and 1.6 million complex transactions per second at over 300 [...]
MySQL 5.5.8 and Percona Server on Fast Flash card (Virident tachIOn)
December 21, 2010 By 11 Comments
This is to follow up on my previous post and show the results for MySQL 5.5.8 and Percona Server on the fastest hardware I have in our lab:Â a Cisco UCS C250 server with 384GB of RAM, powered by a Virident tachIOn 400GB SLC card. To see different I/O patterns, I used different innodb_buffer_pool_size settings: 13G, [...]
Is there benefit from having more memory ?
November 19, 2010 By 10 Comments
My post back in April, http://www.mysqlperformanceblog.com/2010/04/08/fast-ssd-or-more-memory/, caused quite interest, especially on topic SSD vs Memory. That time I used fairy small dataset, so it caused more questions, like, should we have more then 128GB of memory? If we use fast solid state drive, should we still be looking to increase memory, or that configuration provides [...]
