Is it a good idea to deploy your database into the cloud? It depends. I have seen it work well many times, and cause trouble at other times. In this blog post I want to examine cloud-based I/O. I/O matters a lot when a) the database’s working set is bigger than the server’s memory, or […]
This post is the fifth of a series that started here. From the previous posts of this series, we now have nearly everything setup, only a few pieces are missing. One of the missing pieces is the Pacemaker script that run on the MySQL instance.
Just yesterday we released Percona Server 5.1.52-12.3 which includes HandlerSocket. This is third-party plugin, developed by Akira Higuci, DeNA Co., Ltd and explained in Yoshinori Matsunobu’s blog post. What is so special about it: It provides NOSQL-like requests to data stored in XtraDB. So in the same time you can access your data in SQL […]
Another thing I find interesting about MongoDB is its approach to Durability, Data Consistency and Availability. It is very relaxed and will not work for some applications but for others it can be usable in current form. Let me explain some concepts and compare it to technologies in MySQL space. First I think MongoDB is […]
I went to MongoSF today – quite an event, and I hope to have a chance to write more about it. This post is about one replication problem and how MongoDB solves it. If you’re using MySQL Replication when your master goes down it is possible for some writes to be executed on the master, […]
Peter took a look at Redis some time ago; and now, with the impending 1.2 release and a slew of new features, I thought it time to look again.
This is part 3 of my Tyrant extra’s, part 1 focused on durability, part 2 focused on the perceived performance wall. #3.Â Tokyo Cabinet Can have only a single writer thread, bottlenecking performance When writing an application using Tokyo Cabinet only one connection can be opened as a â€œwriterâ€Â while the rest are readers.Â Tyrant […]
Continuing my look at Tokyo Tyrant/Cabinet and addressing some of the concerns I have seen people have brought up this is post #2. #2.Â As your data grows doesÂ Tokyo Cabinet slow down? Yes your performance can degrade. One obvious performance decrease with a larger datasetÂ is you start to increase the likelihood that your […]
You know how in addition to the main movie you have extras on the DVD.Â Extra commentary, bloopers, extra scenes, etc? Well welcome the Tyrant extras.Â With my previous blog posts I was trying to set-up a case for looking at NOSQL tools, and not meant to be a decision making tool.Â Each solution has […]
This is part 3 of our series.Â In part 1 we talked about boosting performance with memcached on top of MySQL, in Part 2 we talked about running 100% outside the data with memcached, and now in Part 3 we are going to look at a possible solution to free you from the database.Â The […]