This is an incomplete fragment from 2011. Figure its worth publishing this now, considering MariaDB is likely to get groonga in the near future. The groonga team have released MariaDB 10.0.6 binaries as well. This is all part of the mroonga project.

These were my quick notes from the groonga talk at the O’Reilly MySQL Conference & Expo 2011. I haven’t tried it yet (and don’t know if it really is faster than Sphinx), but its something I definitely want to play with. Maybe even get a MariaDB tree going.

groonga is a fulltext search library for cloud & web.

groonga is easy to embed & is scalable. It is written in C.

Highly …

I will give 2 talks at MySQL Connect
1. New MySQL Full-Text Search Features and Solutions, where I will focus on the new (and very promising!) InnoDB full text search. I’ve done some benchmarks recently and will publish it here.
2. In-Depth Query Optimization for MySQL, where we will work on the real word examples of MySQL query tuning.

*SESSION SCHEDULE INFORMATION*

Session ID: CON9283
Session Title: New MySQL Full-Text Search Features and Solutions
Venue / Room: Hilton San Francisco – Golden Gate 8
Date and Time: 9/29/12, 14:30 – 15:30

Session ID: CON8811
Session Title: In-Depth Query Optimization for MySQL
Venue / Room: Hilton San Francisco – Golden Gate 8
Date and Time: 9/30/12, 14:45 – 15:45

…

Just in case you missed the press release:

Oracle Provides Early Access to MySQL 5.6 New Features

At OSCON (the O’Reilly Open Source Convention) in Oregon, Oracle announced that early access to new features of MySQL 5.6 is available for the community to test, deploy and provide feedback.  Read more here

MySQL Full Text Search Limitations

Suppose you have a MyISAM table containing a column with a full text index. This table starts to grow to a significant size (millions of rows) and gets updated fairly frequently. Chances are that you’ll start to see some bottlenecks when accessing this table, since without row level locking, the reading and writing operations will be blocking each other.

A solution that many people would suggest right away is to use the master for writes and a slave for reads, but this only masks the problem, and it won’t take long before enough read traffic on the slave starts causing slave lags.

Why Sphinx?

The main difference between the Sphinx search engine and other alternatives is its close integration with MySQL. For example, it can be used as a storage engine.  In this way, Sphinx’s impact on existing application code …