Compiling MySQL Tutorial 2 – Directly from the source

Should you want to be on the bleeding edge, or in my case, don’t want to download 70MB each day in a daily snapshot (especially when I’m getting build errors), you can use Bit Keeper Free Bit Keeper Client that at least lets you download the MySQL Repository. This client doesn’t allow commits, which is a good thing for those non-gurus in mysql internals (which definitely includes me).
wget http://www.bitmover.com/bk-client.shar
/bin/sh bk-client.shar
cd bk_client-1.1
make

By placing sfioball in your path you can execute.

sfioball bk://mysql.bkbits.net/mysql-5.1 mysql-5.1

This took me about 4 mins, which seemed much quicker then getting a snapshot!

You can then get cracking with my instructions at Compiling MySQL Tutorial 1 – The Baseline .

A good reference in all this compiling is to take a good look at the MySQL Internals Manual . (which I only found out about recently)

If at a later time you want to update your repository to the latest, use the following command.

update bk://mysql.bkbits.net/mysql-5.1 mysql-5.1

Documentation References

5.1 Reference Manual – 2.9. MySQL Installation Using a Source Distribution
5.1 Reference Manual – 2.9.3. Installing from the Development Source Tree
5.1 Reference Manual – 2.13.1.3. Linux Source Distribution Notes
MySQL Internals Manual

Requirements for compiling

To confirm earlier notes on minimum requirements for compiling the following details should be confirmed.

automake --version
autoconf --version
libtool --version
m4 --version
gcc --version
gmake --version
bison -version
My results running Fedora Core 5.
$ automake --version
automake (GNU automake) 1.9.6
$ autoconf --version
autoconf (GNU Autoconf) 2.59
$ libtool --version
ltmain.sh (GNU libtool) 1.5.22 (1.1220.2.365 2005/12/18 22:14:06)
$ m4 --version
GNU M4 1.4.4
$ gcc --version
gcc (GCC) 4.1.1 20060525 (Red Hat 4.1.1-1)
$ gmake --version
GNU Make 3.80
$ bison -version
bison (GNU Bison) 2.1
Tagged with: Compiling Databases General MySQL Open Source

Producing IQR and Outlier statistics with SQL

The interquartile range (IQR) measures the spread of the middle 50% of a distribution — the distance between the first quartile (Q1) and the third quartile (Q3). Combined with Tukey’s 1.

Producing Mode statistics with SQL

The mode is the value or values that appear most frequently in a dataset. Unlike the mean or median, it applies naturally to categorical and ordinal data — star ratings, product codes, survey responses — and reveals what is most common, not what is average.

Extending MySQL Capabilies with UDFs, Plugins and Components - Part 2

MySQL offers three different approaches to extending the SQL capabilities with the default product you download and install. These are: User Defined Function (UDF) MySQL Manual MySQL Plugin MySQL Manual MySQL Component MySQL Manual In my prior post I provided a new uuidv function that accepted a numeric argument to return a string of the version of UUID specified.