MySQL can be deployed in several ways, and that means you can choose a tailor-made path that best meets your needs. With simple services or development systems, many people are using a single server with some backups configured, and then simply take the downtime when a restore is needed. As the application evolves, additional requirements […]
Search Results for: scaling size
Percona will be in Chicago and London the week of April 8th delivering two 2-day MySQL workshops. For our MPB readers, we are offering a 15% discount. Just use MPB15A when purchasing your tickets to one or both MySQL workshops. Scaling and Optimization for MySQL on Monday & Tuesday, April 8 & 9 This MySQL workshop […]
Following our events in Raleigh, Montevideo, Buenos Aires, Percona MySQL University comes to Toronto on March 22nd. This is going to our most dense event yet, absolutely packed with information. Even though we have just 1 track we have 12 talks and 11 speakers. We had unique opportunity this time because Percona’s Consulting, Support, RemoteDBA, […]
There and in coming posts I am going to cover main features of Percona XtraDB Cluster. The first feature is High Availability. But before jumping to HA, let’s review general architecture of the Percona XtraDB Cluster.
Preparing Choosing Storage Systems for MySQL talk for Percona Live in Washington,DC I ran into great paper called Sane SAN 2010 by James Morle from Scale Abilities – and Oracle consulting company. It is worth to read for variety of reason yet for this post I wanted to mention what James calls “Busy” Oracle database […]
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 […]
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 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 […]
Having two big boxes in our lab, one based Intel Nehalem (Cisco UCS C250) and second on AMD Opteron (Dell PowerEdge R815), I decided to run some simple sysbench benchmark to compare how both CPUs perform and what kind of scalability we can expect.
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 […]