Am kommenden Donnerstag, den 11.02.2010 findet wieder ein öffentlicher Vortrag im Mayflower Büro in Würzburg statt (Pleichertorstrasse 2, 97070 Würzburg, Straßenbahn und die Haltestelle Congress Centrum).
Beginn ist um 18:00 Uhr, Thema des Vortrags ist "Praktische Anwendung von MySQLDumper".

Intelligentes Backup-Management bei MySQL-Datenbanken? Kein Problem, denn mit dem MySQLDumper kann jeder Sicherungskopien seiner wichtiger Datenbestände erstellen - und bei Bedarf auch kinderleicht wieder herstellen. Daniel Schlichtholz zeigt wie MySQLDumper einem das Leben erleichtert. Frei nach dem Motto: back it up the easy way...

Die "Donnerstags-Vorträge" werden sowohl in Würzburg als auch in München gehalten. Bei Interesse einfach das Blog beobachten, um auf dem Laufenden zu bleiben!
Wir freuen uns auf viele Teilnehmer!

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Ken Jacobs departs Oracle. Linus loves his Nexus One. And more.

Follow 451 CAOS Links live @caostheory on Twitter and Identi.ca
“Tracking the open source news wires, so you don’t have to.”

# As Matt Asay noted, Ken Jacobs’ departure from Oracle is a significant loss for MySQL.

# Linus Toravlds gave the Nexus One his personal thumbs-up.

# Glyn Moody outlined the H.264 video standards debate.

# Oracle job cuts affect GNOME accessibility work but, as Joe Brockmeier pointed out, the blame lies with everyone.

# SourceForge project administrators …

I'm not sure I care what the version number is (5.3,5.4,5.4,6.0), and you can talk about milestone releases all you want. What really matters to me is when we'll have something beyond 5.1 marked as GA. Will it be 5.5? When should I expect that?

5.4 was announced last year at the conference with lots of performance fixes for the mysql server itself. Great. Until those changes percolate up into a stable release, they aren't worth too much to me. With all the hoopla about the release cycle, I haven't seen any results in the form of new features/fixes making it to stable any faster than 5.1 did.

What's the point of any release cycle beyond getting good solid code to stable in a timely (i.e., not 3 years) and safe (i.e., well tested) manner? Can't we have both timely and safe?

This Thursday (February 11th, 14:00 UTC), Seppo Jaakola & Alex Yurchenko will talk about MySQL Galera Multi-Master Replication. Galera provides synchronous multi-master replication and uses a certification-based replication method for replicating transaction write sets in a DBMS cluster. The replication method requires close co-operation with database transaction processing and DMBS must support a specific replication API to be compatible with Galera. Codership has integrated Galera replication in the InnoDB storage engine, and the resulting MySQL/Galera cluster product has been published as a production-ready GA release in December 2009. The MySQL/Galera release 0.7 is available on the Codership and …

This blog clearly explains how to configure the MySQL sample database (sakila) with GlassFish. Even though the instructions use a specific database but should work for other databases (such as Oracle, JavaDB, PostgreSQL, and others) as well. The second half of the blog provide specific syntax for the Oracle sample database.

1. Download sakila sample database and unzip the archive.
2. Install the database as described here - basically load and run "sakila-schema.sql" and "sakila-data.sql" extracted from the archive.
3. Create a new MySQL user account using MySQL CLI Admin and assign the privileges
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This Thursday (February 11th, 14:00 UTC), Seppo Jaakola & Alex Yurchenko will talk about MySQL Galera Multi-Master Replication. Galera provides synchronous multi-master replication and uses a certification-based replication method for replicating transaction write sets in a DBMS cluster. The replication method requires close co-operation with database transaction processing and DMBS must support a specific replication API to be compatible with Galera. Codership has integrated Galera replication in the InnoDB storage engine, and the resulting MySQL/Galera cluster product has been published as a production-ready GA release in December 2009. The MySQL/Galera release 0.7 is available on the Codership and …

This Thursday (February 11th, 14:00 UTC), Seppo Jaakola & Alex Yurchenko will talk about MySQL Galera Multi-Master Replication. Galera provides synchronous multi-master replication and uses a certification-based replication method for replicating transaction write sets in a DBMS cluster. The replication method requires close co-operation with database transaction processing and DMBS must support a specific replication API to be compatible with Galera. Codership has integrated Galera replication in the InnoDB storage engine, and the resulting MySQL/Galera cluster product has been published as a production-ready GA release in December 2009. The MySQL/Galera release 0.7 is available on the Codership and …

This blog clearly explains how to configure the MySQL sample database (sakila) with GlassFish. Even though the instructions use a specific database but should work for other databases (such as Oracle, JavaDB, PostgreSQL, and others) as well. The second half of the blog provide specific syntax for the Oracle sample database.

1. Download sakila sample database and unzip the archive.
2. Install the database as described here - basically load and run "sakila-schema.sql" and "sakila-data.sql" extracted from the archive.
3. Create a new MySQL user account using MySQL CLI Admin and assign the privileges
   …

This blog clearly explains how to configure the MySQL sample database (sakila) with GlassFish. Even though the instructions use a specific database but should work for other databases (such as Oracle, JavaDB, PostgreSQL, and others) as well. The second half of the blog provide specific syntax for the Oracle sample database.

1. Download sakila sample database and unzip the archive.
2. Install the database as described here - basically load and run "sakila-schema.sql" and "sakila-data.sql" extracted from the archive.
3. Create a new MySQL user account using MySQL CLI Admin and assign the privileges
   …

Today I reached 109k Queries per Second. I was quite impressed by it.
Some background on the situation.
I developed some stored procedures to process some rather large tables we had in our database.
I managed to get the stored procedures to be very efficient and quick.
I then wanted to test it out and tried to overload the server to see how much it could take.
Normally, the server would do around 1k at best with these kinds of tasks. I have recently been able to tweak it to 20k QPS. But today, for some reason, the cache managed to get itself in the right position and produced this result.

The Server:
A 4+ year old Dell server, with SAS drives, 1 Quad-core CPU and 16Gbs of memory.

Database:
MySQL 5.0.48 - with MyISAM tables only
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