MySQL Preacher » MySQL

Effective MySQL Meetup in NY

Darren Cassar — Sat, 23 Apr 2011 18:05:00 +0000

A few months ago Ronald Bradford took it upon himself to reinvigorate the MySQL community in NY. It was then that Ronald came up with EffectiveMySQL, a much needed breeze of fresh air in the big apple’s for us MySQL users.

This coming Tuesday, 26th April 2011, there is going to be the second (of many more to come) presentation, this time about “Silent data truncations because of overlooked configuration / design”. The actual title is: “MySQL Idiosyncrasies That Bite” presented by Ronald Bradford himself in midtown Manhattan. More details can be found here.

See you there!

EffectiveMySQL Meetup in NY

Darren Cassar — Sat, 12 Mar 2011 21:49:30 +0000

The first EffectiveMySQL meetup will be held in NY on Tuesday 22nd March 2011 by Ronald Bradford. Details here

The title of the talk is “How better indexes save you money”. Saving money? Hey sure thing :) I’m in Ronald.

For those of you who do not know Ronald Bradford, he’s an Oracle Ace Director in the MySQL field, a long time community contributor and a MySQL expert.

I hope to see you at 902 Broadway New York, NY on Tuesday 22nd March 6pm.

Removing all databases from a MySQL instance

Darren Cassar — Thu, 03 Mar 2011 19:04:04 +0000

Many out there will have different ideas about this, some using procs, some using a function, others using a shell script. Well I didn’t want to spend much time on it so decided a group_concat(concat would be enough.
There is no genius, rather laziness :) but what if you have a hundred databases and you want to drop them all?

mysql Thu Mar  3 13:50:06 2011 > pager sed 's/,/ /g'
PAGER set to 'sed 's/,/ /g''
mysql Thu Mar  3 13:50:32 2011 > select group_concat(concat('drop database ',SCHEMA_NAME,';')) from information_schema.schemata where SCHEMA_NAME !='mysql' and SCHEMA_NAME !='information_schema';
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| group_concat(concat('drop database ' SCHEMA_NAME ';'))                                                                                                                                                  |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| drop database abc; drop database def; drop database ghi; drop database jkl; drop database mno; drop database pqr; drop database stu; drop database vwx; drop database yz; |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

mysql Thu Mar  3 13:50:34 2011 > drop database abc; drop database def; drop database ghi; drop database jkl; drop database mno; drop database pqr; drop database stu; drop database vwx; drop database yz;
Query OK, 42 rows affected (2.37 sec)

Query OK, 101 rows affected (4.25 sec)

Query OK, 3 rows affected (0.09 sec)

Query OK, 2 rows affected (0.09 sec)

Query OK, 26 rows affected (0.72 sec)

Query OK, 2 rows affected (0.00 sec)

Query OK, 0 rows affected (0.00 sec)

Query OK, 3 rows affected (0.12 sec)

Query OK, 160 rows affected (7.98 sec)

mysql Thu Mar  3 13:50:55 2011 > nopager
PAGER set to stdout
mysql Thu Mar  3 13:51:02 2011 >

MariaDB makes it to Solaris 10 x86

Darren Cassar — Fri, 11 Feb 2011 18:21:14 +0000

Monty Program AB have recently released a tar.gz package of MariaDB for Solaris 10 x86, something I have been waiting on for a while. Thank you guys!

Download here — Note that this is a beta release so use with caution and not in prod unless you know what you are doing or nuts. If you have any issues MPAB can be contacted here.

[mysql@dc /mysql/mariadb-5.1.53-solaris10-i386 03:15:27]$  uname -a
SunOS dc 5.10 Generic_141415-08 i86pc i386 i86pc
[mysql@dc /mysql/mariadb-5.1.53-solaris10-i386 03:15:33]$  bin/mysql -uroot
Welcome to the MariaDB monitor.  Commands end with ; or \g.
Your MariaDB connection id is 5
Server version: 5.1.53-MariaDB-log Source distribution

This software comes with ABSOLUTELY NO WARRANTY. This is free software,
and you are welcome to modify and redistribute it under the GPL v2 license

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

MariaDB [(none)]> use test;
Database changed
MariaDB [test]>

MySQL community blogging – PlanetMySQL – Part 2

Darren Cassar — Thu, 20 Jan 2011 11:13:45 +0000

After last week’s post about bloggin trends, this week I will go through the most active bloggers over the years as well as particularly for 2010.

What is the range of time analysed here?

mysql >  select min(date_time), max(date_time) from blogs;
+---------------------+---------------------+
| min(date_time)      | max(date_time)      |
+---------------------+---------------------+
| 2004-03-04 19:47:00 | 2011-01-07 13:22:00 |
+---------------------+---------------------+
1 row in set (0.04 sec)

How many blog posts in the above period (almost 7years)?

mysql >  select count(*) from blogs;
+----------+
| count(*) |
+----------+
|    21698 |
+----------+
1 row in set (0.00 sec)

How many authors have contributed to planetmysql?

mysql >  select count(distinct(author)) from blogs;
+-------------------------+
| count(distinct(author)) |
+-------------------------+
|                     538 |
+-------------------------+
1 row in set (0.03 sec)

How does planetmysql distinct type of bloggers?

mysql > select distinct(type) from blogs;
+---------------+
| type          |
+---------------+
| Employee_Team |
| Community     |
| Team          |
| Employee      |
| Official      |
+---------------+
5 rows in set (0.03 sec)

How many blog posts per type (group)?

*** Please note that when a MySQL, Sun, Oracle employee changes status, any blog posts by that person will shift to a new group.

mysql >  select distinct(type), count(*) from blogs group by type order by 2 desc;
+---------------+----------+
| type          | count(*) |
+---------------+----------+
| Community     |    13699 |
| Team          |     3811 |
| Employee      |     3164 |
| Official      |      592 |
| Employee_Team |      432 |
+---------------+----------+
5 rows in set (0.02 sec)

How many authors per type (group)?

mysql >  select type,count(distinct(author)) from blogs group by type order by 2 desc;
+---------------+-------------------------+
| type          | count(distinct(author)) |
+---------------+-------------------------+
| Community     |                     345 |
| Employee      |                     102 |
| Team          |                      64 |
| Official      |                      44 |
| Employee_Team |                      18 |
+---------------+-------------------------+
5 rows in set (0.28 sec)

Of course who are the most active 10 bloggers?

mysql >  select author, count(*) from blogs group by author order by 2 desc limit 10;

+------------------------+----------+
| author                 | count(*) |
+------------------------+----------+
| MySQL Performance Blog |      843 |
| Open Query             |      582 |
| Ronald Bradford        |      570 |
| Baron Schwartz (xaprb) |      485 |
| Giuseppe Maxia         |      478 |
| Brian Aker             |      476 |
| The 451 Group          |      431 |
| Sheeri K. Cabral       |      422 |
| Stewart Smith          |      398 |
| Matt Asay              |      390 |
+------------------------+----------+
10 rows in set (0.03 sec)

Ok lets see the top 20 individuals

Since some of the most active bloggers were at some point employed by MySQL/Sun/Oracle or by one of the support companies they might feature in the teams groups too so the below solves the issue:

mysql >  create temporary table t1( author varchar(255), ct int) engine=myisam;
Query OK, 0 rows affected (0.01 sec)

mysql >  insert into t1 select author, count(*) from blogs where (type='Community' or type='Employee') and date_time > '2010' group by author order by 2 desc limit 20;
Query OK, 20 rows affected (0.03 sec)
Records: 20  Duplicates: 0  Warnings: 0

mysql >  select b.author,count(*) from blogs b, t1 where b.author=t1.author group by b.author order by 2 desc;
+------------------------+----------+
| author                 | count(*) |
+------------------------+----------+
| Ronald Bradford        |      570 |
| Baron Schwartz (xaprb) |      485 |
| Giuseppe Maxia         |      478 |
| Brian Aker             |      476 |
| Sheeri K. Cabral       |      422 |
| Stewart Smith          |      398 |
| Matt Asay              |      390 |
| Zack Urlocker          |      356 |
| Colin Charles          |      330 |
| Frank Mash             |      315 |
| Kaj Arno               |      312 |
| Lenz Grimmer           |      307 |
| Jay Pipes              |      256 |
| Mark Callaghan         |      239 |
| Markus Popp            |      196 |
| Mike Hillyer           |      184 |
| Mike Kruckenberg       |      179 |
| Matt Reid              |      179 |
| Reggie Burnett         |      175 |
| Roland Bouman          |      165 |
+------------------------+----------+
20 rows in set (0.08 sec)

Please note that quantity is not equal to quality so you have to judge for yourself what is good for you and what is not.

Ok lets have a look at 2010 blog count:

mysql >  truncate t1;
Query OK, 0 rows affected (0.04 sec)

mysql >   insert into t1 select author, count(*) from blogs where (type='Community' or type='Employee') and date_time > '2009-12-31' and date_time < '2011-01-01' group by author order by 2 desc limit 20;
Query OK, 20 rows affected (0.03 sec)
Records: 20  Duplicates: 0  Warnings: 0

mysql >  select b.author,count(*) from blogs b, t1 where b.author=t1.author and date_time > '2009-12-31' and date_time < '2011-01-01' group by b.author order by 2 desc;
+------------------------+----------+
| author                 | count(*) |
+------------------------+----------+
| Ronald Bradford        |       99 |
| Baron Schwartz (xaprb) |       98 |
| Shlomi Noach           |       61 |
| Matt Reid              |       61 |
| Andrew Morgan          |       60 |
| Stewart Smith          |       58 |
| Anders Karlsson        |       55 |
| Giuseppe Maxia         |       53 |
| Sheeri K. Cabral       |       45 |
| Henrik Ingo            |       44 |
| Dave Stokes            |       42 |
| Florian G. Haas        |       39 |
| Mark Callaghan         |       32 |
| Brian Aker             |       32 |
| Lenz Grimmer           |       31 |
| Colin Charles          |       31 |
| Ansgar Becker          |       29 |
| Matt Mullenweg         |       28 |
| Simon Mudd             |       28 |
| Darren Cassar          |       26 |
+------------------------+----------+
20 rows in set (0.04 sec)

More analysis of the feed will follow.
Because Sharing is Caring!