MySQL provides a level of statistics for your INSERT, UPDATE, DELETE, REPLACE Data Manipulation Language (DML) commands using the STATUS output of various Com_ variables, however it is per server stats. I would like per table stats.

You can achieve this with tools such as MySQL Proxy and mk-query-digest, however there is actually a very simple solution that requires no additional tools.
The following 1 line Linux command (reformatted for ease of reading) gave me exactly what I wanted, and it had ZERO impact on the database.

$ mysqlbinlog /path/to/mysql-bin.000999 |  \
   grep -i -e "^update" -e "^insert" -e "^delete" -e "^replace" -e "^alter"  | \
   cut -c1-100 | tr '[A-Z]' '[a-z]' |  \
   sed -e "s/\t/ /g;s/\`//g;s/(.*$//;s/ set .*$//;s/ as .*$//" | sed -e "s/ where .*$//" |  \
   sort | uniq -c | sort -nr  

  33389 update e_acc
  17680 insert into r_b
  17680 insert into e_rec
  14332 insert into rcv_c
  13543 update e_rec
  10805 …

While not a MySQL topic, as most of my readers view my MySQL Blog, my WordPress blog has been hacked? Has yours?

Like many, I’m sure you may have read about it like at Wordpress blogs under attack from hack attack but I was surprised when my custom permlinks did not work.

Being surprised I looked at Administrator accounts, and I found that there was one more number then being displayed in the list. I had to dig into the database to find the problem.

mysql> select * from wp_users where ID in (select user_id from wp_usermeta where meta_key = 'wp_capabilities' and meta_value like '%admin%');
+-----+-------------+------------------------------------+---------------+------------------------------+---------------------------+---------------------+---------------------+-------------+--------------+
| ID  | user_login  | user_pass                          | user_nicename | …

The summer break seems to be over and the event season is heating up again! There is a number of conferences and events coming up in the next months — here is a quick summary of the events that I plan to attend.

This Friday I will attend an event here in Hamburg: the "Silpion Sommerfest", organized by Silpion (a local IT solutions provider which is a partner of Sun Microsystems as well). I will be there to network and talk about MySQL.

This coming weekend (2009-09-12/2009-09-13), there will be the PHP Unconference here in Hamburg, Germany . It will consist of two days of Barcamp-style sessions about …

It's almost two weeks now since FrOSCon and the OpenSQL Camp subconference have taken place in Sankt Augustin, Germany — about time for a summary and update from my side!

First off, I would like to thank all of the participants and supporters, particularly my colleagues Regina Steyer and Iris Musiol for the perfect logistics and co-sponsoring as well as Uli Graef, Thorsten Frueauf, Matthias Schmidt, Alexander Rubin and Joerg Moellenkamp for manning the Sun booth and the help on site.

Another big Thank You goes out to my team mates …

If you are unfamiliar with what to monitor in MySQL, starting with looking at what popular Monitoring products monitor. For example, the following is the list of MySQL Cacti Plugin measurements.

Innodb Buffer Pool Activity

• Pages Created
• Pages Written
• Pages Read

Innodb Buffer Pool Pages

• Pool Size
• Database Pages
• Free Pages
• Modified Pages

Inoodb File I/O

• File Reads
• Files Writes
• Log Writes
• File Fsyncs

Innodb Pending I/O

• Aio Log Ios
• Aio Sync ios
• Buffer Pool Flushes
• Chkp Writes
• Ibuf Aio Reads
• Log Flushes
• Log Writes
• Normal Aio Reads …

As I outlined in Part 1 MySQL Proxy can be one tool for performing SQL analysis. The impact with any monitoring is the art of monitoring will affect the results, in this case the performance. I don’t recommend enabling this level of detailed monitoring in production, these techniques are designed for development, testing, and possibly stress testing.

This leads to the question, how do I monitor SQL in production? The simple answer to this question is, Sampling. Take a representative sample of your production system. The implementation of this depends on many factors including your programming technology stack, and your MySQL topology.

If for example you are using PHP, then defining MySQL proxy on a production system, and executing firewall rules to redirect incoming 3306 traffic to 4040 for a period of time, e.g. 2 …

In the past few weeks I've been implementing advanced search at Plaxo, working quite closely with Solr enterprise search server. Today, I saw this relatively detailed comparison between Solr and its main competitor Sphinx (full credit goes to StackOverflow user mausch who had been using Solr for the past 2 years). For those still confused, Solr and Sphinx are similar to MySQL FULLTEXT search, or for those even more confused, think Google (yeah, this is a bit of a stretch, I know).

Similarities

• Both Solr and Sphinx satisfy all of your requirements. They're fast and designed to index and search large bodies of data efficiently.
• Both have a long list of high-traffic sites …

Long before there was the official Query Analyzer (QUAN), a component of MySQL Enterprise, SQL analysis was possible using MySQL Proxy.

The following is an introduction to logging and query analysis with MySQL Proxy.

Get MySQL Proxy

You need to first download MySQL Proxy. In this example I am using the Linux RHEL5 64bit OS and Version 0.7.2

$ wget http://dev.mysql.com/get/Downloads/MySQL-Proxy/mysql-proxy-0.7.2-linux-rhel5-x86-64bit.tar.gz/from/http://mirror.trouble-free.net/mysql_mirror/
$ tar xvfz mysql-proxy-0.7.2-linux-rhel5-x86-64bit.tar.gz
$ ln -s mysql-proxy-0.7.2-linux-rhel5-x86-64bit mysql-proxy
$ export PATH=`pwd`/mysql-proxy/sbin:$PATH
$ mysql-proxy --help-all

Pre-requisites

MySQL Proxy uses TCP/IP, so it is important you connect via the actual …

I have several side projects when time permits and one is that of benchmarking various MySQL technologies (e.g. MySQL 5.0,5.1,5.4), variants (e.g. MariaDB, Drizzle) and storage engines (e.g. Tokutek, Innodb plugin) and even other products like Tokyo Cabinet which is gaining large implementations.

You have two options with benchmarks, the brute force approach such as Sysbench, TPC, sysbench, Juice Benchmark, iibench, mysqlslap, skyload. I prefer the realistic approach however these are always on client’s private data. What is first needed is better access to public data for benchmarks. I have compiled this list to date and I am seeking additional sources for reference.

• Feebase – Data is in clean loadable format
• IMDB – Not clean, but Roland Bouman is working on …

After the slow down due to vacation and warm weather we are ready for a series of educative Italian webinars on MySQL. Here is the list:

Semptember 10@10am CET - "Top 5 Tuning tips for MySQL"
Are your applications slow during peak times? Is the database running slowly? Do you find difficult to pinpoint performance problems? Then this webinar is for you!I will cover the top 5 tips to speed up your MySQL databases from a developer as well as DBA point of view.

October 8@10am CET - "Introduction to MySQL for Windows"
Do you know that MySQL is used extensively on Windows? Would you like to learn the tools that we provide?
Join this webinar! We will discuss the advantages of using MySQL on the …