July 31, 2014

MySQL caching methods and tips

“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 […]

MySQL 5.5.8 – in search of stability

A couple of days ago, Dimitri published a blog post, Analyzing Percona’s TPCC-like Workload on MySQL 5.5, which was  a response to my post, MySQL 5.5.8 and Percona Server: being adaptive. I will refer to Dimitri’s article as article [1]. As always, Dimitri has provided a very detailed and thoughtful article, and I strongly recommend reading if […]

Percona Launches New Support Option for MySQL

We’ve just announced a new support offering for MySQL. There’s a press release here, and product information page here. But what does this new service really mean for you, in practical terms? This is actually important — it will open up a range of new choices for you. I’ll explain two major points that matter […]

Query Response time histogram – new feature in Percona Server

Recently we had couple posts dedicated to performance monitoring, i.e. Color code your performance numbers, Performance Optimization and Six Sigma, so you may understand we consider stability of performance numbers as one of important area for database management. That’s why we decided to add histogram of queries response times into Percona Server, and our software […]

MySQL: Data Storage or Data Processing

I was thinking today of how people tend to use MySQL in modern applications and it stroke me in many cases MySQL is not used to process the data, at least not on the large scale – instead it is used for data storage and light duty data retrieval. Even in this case however the […]

MySQL Query Cache

MySQL has a great feature called “Query Cache” which is quite helpful for MySQL Performance optimization tasks but there are number of things you need to know. First let me clarify what MySQL Query Cache is – I’ve seen number of people being confused, thinking MySQL Query Cache is the same as Oracle Query Cache […]

Sysbench Benchmarking of Tesora’s Database Virtualization Engine

Tesora, previously called Parelastic, asked Percona to do a sysbench benchmark evaluation of its Database Virtualization Engine on specific architectures on Amazon EC2. The focus of Tesora is to provide a scalable Database As A Service platform for OpenStack. The Database Virtualization Engine (DVE) plays a part in this as it aims at allowing databases […]

Benchmark: SimpleHTTPServer vs pyclustercheck (twisted implementation)

Github user Adrianlzt provided a python-twisted alternative version of pyclustercheck per discussion on issue 7. Due to sporadic performance issues noted with the original implementation in SimpleHTTPserver, the benchmarks which I’ve included as part of the project on github use mutli-mechanize library, cache time 1 sec 2 x 100 thread pools 60s ramp up time 600s […]

ScaleArc: Real-world application testing with WordPress (benchmark test)

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by me and ScaleArc co-founder and chief architect, Uday Sawant. The goal of this benchmark was to identify ScaleArc’s overhead using a real-world application – the world’s most popular (according to […]

ScaleArc: Benchmarking with sysbench

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and myself. You can also download the report directly as a PDF here. The goal of these benchmarks is to identify the potential overhead of the ScaleArc […]