Knut Anders Hatlen writes about memcached user-defined functions (UDF) for Java DB on OpenSolaris.

Knut has also mentioned the recent release of Apache Derby 10.4.2. A corresponding Java DB release should be available for download soon. (Usually this happens immediately but we're all at a developers' conference for the next couple of …

Although we had previously planned to make MySQL 5.1.26 RC into the GA or production release, we've decided to instead incorporate two more release candidates into the schedule. The goal is to make sure that MySQL 5.1 is absolutely rock solid, even if it takes a few more months to release it as GA. Given the additional two releases candidates, I expect MySQL 5.1 will GA in late November of this year.

First of all, there will be several dozen additional bug fixes included in a 5.1.28 release expected to be available mid-September. Many of these bug fixes were completed and queued up ready to go after the GA release as part of our monthly rapid update cycle. Since the GA obviously didn't happen, we're incorporating these into the RC immediately. The bug fixes generally fall into three areas:
-potential crash bugs
…

So Google Chrome – Google's attempt at an open source browser, came out yesterday and I took it out for a spin. At its heart is the Webkit engine (also open source) and Google Gears, powered by SQLite (can MySQL rival SQLite in applications like this?). Here are my thoughts.

• Fast – Chrome loads extremely fast, blazing even. Granted, my Firefox would probably load fast if I didn't have any addons as well. Sites like Amazon or …

Marten Mickos, who runs the MySQL business inside of Sun, will be featured next week on Sun's "Innovation Insider" interactive web radio show.  Marten will be talking about the upcoming Software Feedom Day (September 20), business & technology innovation, MySQL 5.1, Swedish drinking songs and more.  Best of all, Marten will be available to answer the questions you post to the show.  The show is live Thursday September 4 at 12:30 pm pacific time and will be available for replay.

I have challenged Marten that he should do the show in a penguin suit to show our commitment to all platforms, but since it's radio, it may be hard to tell... 

• Blog Talk Radio: …

I have a small EC2 instance running with a 25GB EBS volume attached. It has a database on it that I need to manipulate by doing things like dropping indexes and creating new ones. This is on rather large (multi-GB, millions of rows) tables. After running one DROP INDEX operation that ran all day without finishing, I killed it and tried to see what was going on. Here’s the results of the first 10 minutes of testing:

-bash-3.2# dd if=/dev/zero of=/vol/128.txt bs=128k count=1000
1000+0 records in
1000+0 records out
131072000 bytes (131 MB) copied, 0.818328 seconds, 160 MB/s

This looks great. I’d love to get 160MB/s all the time. But wait! There’s more!

-bash-3.2# dd if=/dev/zero of=/vol/128.txt bs=128k count=100000
dd: writing `/vol/128.txt': No space left on device
86729+0 records in
86728+0 records out
11367641088 bytes (11 GB) copied, 268.191 seconds, 42.4 MB/s

Ok, well… that’s completely miserable. Let’s try …

Short Version: You can find a fantastic video here about bundling customized AMIs and registering them with Amazon so that you can launch as many instances of your new AMI as you want. The video is so good that I don’t bother writing out the steps to do the bundling (it would be pretty darn long). These are some notes about launching an AMI, customizing it, and mounting an EBS volume to it (the video linked above doesn’t cover EBS). Also, check out the ElasticFox tool which is a very good GUI for doing simple EC2 operations. Nice if you’re just getting started or doing some simple tests.

There are two ways you can go about creating a custom machine image (AMI) for use with Amazon EC2: You can create an image locally by dd’ing to a file, mounting it with “-o loop” creating a filesystem on it, …

Hi all,

The schedule for PyWorks has been posted! I’m really excited about three things:

1) there are some really cool talks that I’m looking forward to attending. There are a couple of sysadmin-related talks, AppEngine, TurboGears, Django, and an area I’ve been especially slow to move into: testing (I know, shame on me). There’s lots more so be sure to check it out.

2) the conference scheduling process is over

3) I get to meet a lot of people face-to-face that I’ve worked with in the past on Python Magazine developing articles, or interacted with on IRC, etc. One thing I like about conferences surrounding open source technologies is you get to thank people face-to-face for the sweat they poured into some of the tools I use regularly. Mark Ramm, Kevin Dangoor, Michael Foord, Brandon Rhodes, and a collection of Python Magazine authors …

Holy cow... It really works!! (Just like they promised!)

read more

According to Wikipedia, in April 2008, the number of videos on Youtube was 83.4 million (ref: http://en.wikipedia.org/wiki/YouTube#cite_note-5). However, the link in the cite note now displays “*†video results 1 – 20 of millions, without showing the real count.

Here's one way I found to get an estimated, but relatively accurate, number of videos on the popular video sharing site Youtube. The idea is simple. Get this feed: http://gdata.youtube.com/feeds/api/videos/-/* and parse out the number inside the <opensearch:totalresults> tag.

…

Problem Statement : 386 GB of MySQL 5.0 Compressed MyISAM tables (Merge engine used)  need to be migrated to MySQL 5.1 Compressed/Partitioned tables. Also we had to add a few new columns and change the datatype of few existing columns.

Initial plan : Setup the MySQL 5.1 database with the schema with partitioning to which the data needs to be migrated and then run scripts to copy the .MYD ,.MYI and .frm files to the 5.1 database. Disable the keys using “Alter table <> disable keys“. Then migrate the data using the insert into newtable select * from old table. Then to compress the tables run myisampack and myisamchk.

As per plan we started the migration process. The plan worked perfectly though a bit on the slower side for most of the tables. For few of the tables, the import process kept dragging on and on. It was well past a week since the import was started and the system …