Update – the webinar replay is now available from http://www.mysql.com/news-and-events/on-demand-webinars/display-od-630.html?clusterdb

There is a free webinar today (31st May) covering the use of MySQL Cluster in session management – register for free here. The session starts at 9:00 am Pacific, 17:00 UK, 18:00 Central European Time.

As organizations seek to enhance their users’ web experience through personalization based on historic browsing and buying behaviors, session data is becoming more critical. Larger volumes of session data need to be managed and persisted in real-time, and so …

Scale-out with MySQL Cluster

Update: webinar replay is now available from http://event.on24.com/r.htm?e=311660&s=1&k=3DCFE1CB3E1CF3F0FD0969DC66D93989

On Thursday 26th May Mat Keep and I will be presenting a webinar on how MySQL Cluster can deliver linear scalability – together with some tips on how to achieve it. As always the webinar is free but you need to register here.

The session starts on Thu, May 26 at 17:00 UK time, 18:00 Central European Time, 09:00 Pacific. …

Today the German speaking MySQL User Group (DMySQLAG) was officially founded in Berlin.

The association advocates:

• the information of the use, the handling and the experience with MySQL and development in the MySQL Eco-System as well as systems which use MySQL.
• the exchange of experience between MySQL users about MySQL and other systems.
• the Advice and Cooperation with Oracle and vendors of other systems.
• the submission of suggestions of the members to Oracle and vendors of other systems.

The intention of the German speaking MySQL User Group is to be a platform for MySQL User from Germany, Austria and Switzerland. To get a high enough weight for Austria and Switzerland we hope for a high number of registrations of these two countries.

Who wants to be listed as a founding member, should asap (until Friday) send us a notice via e-Mail.

A later …

Permalink: http://bit.ly/1ztV5sU



The rationale behind comparing tables versus using a CHECKSUM TABLE statement can be found in the first part of this entry.

Comparing the record differences of two similar tables can be useful when transferring records from an old database to a new one or when comparing backup tables against the original tables. Depending on specific requirements, it may be necessary to validate that the transfer was successful or to see which specific data in the records of the original and in-use tables have been updated, inserted, or deleted when compared to the backup. The query in the stored procedure below will show the differences caused by updates to current records as well as the record differences …

Mythbusters: How to configure InnoDB buffer poll on large MySQL servers

Yesterday I wrote about the dangers in using top on systems with 100+ GB of RAM, not to mention future systems with 1+ TB. A related topic is, how should I configure MySQL on such a large system?

There is a classic rule of thumb that on a dedicated MySQL server one should allocate 80% of memory to the InnoDB buffer pool. On a 128GB system that is 102.4 GB. This means that I would leave 25.6 GB of RAM "unused". So surely on these large systems, this old piece of advice cannot hold anymore. If the database was previously running on a server that in total had less than that altogether, it seems wrong to leave so much memory just unused. Let's label the old rule of thumb tentatively a "myth" and ask mythbusters to figure out a new MySQL configuration …

How To Set Up MySQL Database Replication With SSL Encryption On Debian Squeeze

This tutorial describes how to set up database replication in MySQL using an SSL connection for encryption (to make it impossible for hackers to sniff out passwords and data transferred between the master and slave). MySQL replication allows you to have an exact copy of a database from a master server on another server (slave), and all updates to the database on the master server are immediately replicated to the database on the slave server so that both databases are in sync. This is not a backup policy because an accidentally issued DELETE command will also be carried out on the slave; but replication can help protect against hardware failures though.

Overview

We know that having the chance to split a table in different and smaller chunk helps.
It helps because performance searches, insert, index handling and data management as well.
All fine we are all happy, and very often we push on our customer to go for partition in order to solve part of their problems.
What happens quite often is that customer (and sometime MySQL dba as well) see partitions as separate tables.
Unfortunately is not like that, there are some operations that are (still?) creating unexpected results.
One of this is the OPTIMIZATION of a partition.

The case

Some time ago, almost 16 months I was at customer site and we were working with MySQL 5.5 rc.
We were really happy with the new version of MySQL, and being working for MySQL/SUN I was quite proud of it as well.
Then we run the ALTER TABLE X OPTIMIZE PARTITION Y;
…

Overview

We know that having the chance to split a table in different and smaller chunk helps.
It helps because performance searches, insert, index handling and data management as well.
All fine we are all happy, and very often we push on our customer to go for partition in order to solve part of their problems.
What happens quite often is that customer (and sometime MySQL dba as well) see partitions as separate tables.
Unfortunately is not like that, there are some operations that are (still?) creating unexpected results.
One of this is the OPTIMIZATION of a partition.

The case

Some time ago, almost 16 months I was at customer site and we were working with MySQL 5.5 rc.
We were really happy with the new version of MySQL, and being working for MySQL/SUN I was quite proud of it as well.
Then we run the ALTER TABLE X OPTIMIZE PARTITION Y;
…

A couple weeks back, I had the fortune of co-speaking at Percona Live NYC 2011 with Mark Uhrmacher, CTO of ideeli on the subject of running an E-commerce site with MySQL in the cloud. Interestingly, and a sign of the times, this was also the first time that I had ever met Mark, despite having worked for him for close to a year since I telecommute from home.

Here are the slides from that talk.

What I wanted attendees to get out of our talk was that you have to expect and plan for all sorts of failure situations when your database is in the cloud. Relative to conventional hosting or datacenters, things in the cloud break more frequently and in ways that are out of your control. AWS gives you the tools to plan and …

This week we have feedback from Percona Live in NYC last Thursday. We talk with:

Chander Kant of Zmanda, talking about the fact that Zmanda Backup Recovery now officially supports the Percona patched binary of MySQL.
Barry Leung of CafeMom.com who talked about all the stuff he'd learned during the day, including "How to use MySQL and DTrace on Linux" and the new mk-tcp-model.

Patrick Galbraith of BlueGecko talked about his talk, "The Building Blocks of Scaling: Drizzle/MySQL, Memcached, Sphinx, and Gearman", backups, FLUSH ENGINE ____ …