July 30, 2014

Big Data with MySQL and Hadoop at MySQL Connect 2013

I will be talking about Big Data with MySQL and Hadoop at MySQL Connect 2013 (Sept. 21-22) in San Francisco as well as at Percona University at Washington, DC (September 12, 2013). Apache Hadoop is a very popular Big Data solution and we can nowadays easily integrate it with MySQL. I will start with a brief introduction […]

Schema Design in MongoDB vs Schema Design in MySQL

For people used to relational databases, using NoSQL solutions such as MongoDB brings interesting challenges. One of them is schema design: while in the relational world, normalization is a good way to start, how should we design our collections when creating a new MongoDB application? Let’s see with a simple example how we would create […]

Growth of Percona software releases

It was once said that “real artists ship.” In looking over the history of Percona software releases, we are currently shipping more software than ever before. First, let’s look at Percona Server. Let’s look at all major versions: 5.1, 5.5 and 5.6 as well as the total for each year. The estimate for 2013 comes […]

What kind of queries are bad for MySQL?

In writing a recommendation for our Web development team on how to use MySQL, I came up with the following list, which I want to share: What kind of queries are bad for MySQL? Any query is bad. Send a query only if you must. (Hint: use caching like memcache or redis) Queries that examine […]

MySQL and Hadoop integration

Dolphin and Elephant: an Introduction This post is intended for MySQL DBAs or Sysadmins who need to start using Apache Hadoop and want to integrate those 2 solutions. In this post I will cover some basic information about the Hadoop, focusing on Hive as well as MySQL and Hadoop/Hive integration. First of all, if you […]

What technologies are you running alongside MySQL?

In many environments MySQL is not the only technology used to store in-process data. Quite frequently, especially with large-scale or complicated applications, we use MySQL alongside other technologies for certain tasks of reporting, caching as well as main data-store for portions of application. What technologies for data storage and processing do you use alongside MySQL […]

How people are using MySQL… from 1 user to 100 million (upcoming conference talk)

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 […]

MySQL Query Patterns, Optimized – Webinar questions followup

On Friday I gave a presentation on “MySQL Query Patterns, Optimized” for Percona MySQL Webinars.  If you missed it, you can still register to view the recording and my slides. Thanks to everyone who attended, and especially to folks who asked the great questions.  I answered as many as we had time for  during the session, but here […]

The small improvements of MySQL 5.6: Duplicate Index Detection

Here at the MySQL Performance Blog, we’ve been discussing the several new features that MySQL 5.6 brought: GTID-based replication, InnoDB Fulltext, Memcached integration, a more complete performance schema, online DDL and several other InnoDB and query optimizer improvements. However, I plan to focus on a series of posts on the small but handy improvements – […]

Replication in MySQL 5.6: GTIDs benefits and limitations – Part 2

The main benefit of using GTIDs is to have much easier failover than with file-based replication. We will see how to change the replication topology when using GTID-based replication. That will show where GTIDs shine and where improvements are expected. This is the second post of a series of articles focused on MySQL 5.6 GTIDs. […]