Taking TOTD #121 forward, this blog explains how to create a JPA Persistence Unit for a MySQL sample database and package it as a library. This JAR file can then be easily included in other web applications.

Lets get started!

1. Configure GlassFish for using the MySQL sample database (sakila) as described in TOTD #121.
2. Add the GlassFish instance in NetBeans IDE using "Services" panel.
3. Create JPA entities using NetBeans IDE.
   1. Create a Java class library:
      
      
      
      Our ultimate goal is …

Taking TOTD #121 forward, this blog explains how to create a JPA Persistence Unit for a MySQL sample database and package it as a library. This JAR file can then be easily included in other web applications.

Lets get started!

1. Configure GlassFish for using the MySQL sample database (sakila) as described in TOTD #121.
2. Add the GlassFish instance in NetBeans IDE using "Services" panel.
3. Create JPA entities using NetBeans IDE.
   1. Create a Java class library:
      
      
      
      Our ultimate goal is …

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
   …

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
   …

Bernhard blogged over at http://ocklin.blogspot.com/2010/02/mysql-cluster-711-is-there.html that MySQL Cluster 7.1.1 Beta has been released. The big feature (from my point of view) is the SQL interface on top of NDB$INFO. This means there is now full infrastructure from the NDB data nodes right out to SQL in the MySQL Server for adding monitoring to any bit of the internals of the data nodes.

Another short post just to remember the procedure for the next time I’ll be setting up a new mac. For those of my readers who do not know what Midnight Commander (aka mc) is, GNU Midnight Commander is a visual file manager, created under a heavy influence of Norton Commander file manager from dark DOS ages For more information, you can visit their web site. Now, get to the installation topic itself.

To install mc on a Mac OS X machine, you need macports installed and then first thing you’ll need to do is to install some prerequisite libraries:

Next thing, download the sources …

Those of you that know the documentation well will be aware of the old page we used to have for the MySQL documentation. It was huge, and over the years we’d done a number of things to try and improve the layout and make it easier to find what you wanted. We had in-age links to jump to the different documentation types, and the old topic table that allowed you to jump to specific parts of the documentation. The problem was that the more documentation that we produced (and there are over a thousand docs in various formats now), the bigger the page got. When we added the individual topic guides, for example, we trebled the size of the page by adding the links for each individual topic guide. Ultimately that makes it increasingly difficult for you guys to find what you are looking for, despite the quick links and other elements. We’ve now changed all this and split the single, big, monolithic …

Those of you that know the documentation well will be aware of the old page we used to have for the MySQL documentation. It was huge, and over the years we’d done a number of things to try and improve the layout and make it easier to find what you wanted. We had in-age links to jump to the different documentation types, and the old topic table that allowed you to jump to specific parts of the documentation.

The problem was that the more documentation that we produced (and there are over a thousand docs in various formats now), the bigger the page got. When we added the individual topic guides, for example, we trebled the size of the page by adding the links for each individual topic guide.

Ultimately that makes it increasingly difficult for you guys to find what you are looking for, despite the quick links and other elements.

We’ve now changed all this and split …

I’ve talked about PERFORMANCE_SCHEMA in the past - almost a year ago now.

Back then the feature was just coming together in to something useable, and was on the cusp of moving towards code review. It entered code review, and went around, and around for 9 months, whilst various refinements were made.

Never the less, Marc Alff persevered (much respect!), and yesterday pushed his final merge in to the mysql-next-mr bzr tree. PERFORMANCE_SCHEMA is now awaiting the next milestone release, and will be a part of the next GA release of MySQL!

We have the initial documentation ready:

http://dev.mysql.com/doc/performance-schema/en/index.html

This first round adds the infrastructure to take monitoring of the MySQL Server to the …