Recently I had an interesting issue crop up. Due to an unfortunate migration incident in which involved master/master replication and not checking to see if replication was caught up, we ended up with an infinite replication loop of a number of SQL statements. awk helped immensely in the aftermath cleanup.

The basics of the replication infinite loop were Read the rest of this entry . . .

The 118^th edition of Log Buffer, the weekly review of database blogs, has been published on Ward Pond’s SQL Server blog.

Log Buffer is the only platform-neutral, distributed, human-edited article on database blogs. It receives several thousand views each week, and publishing an edition on your own blog brings those views to you. Hosting an edition of LB also introduces you and your blog to your colleagues in the DB blogosphere. Write me an email and I’ll get you started.

Now, here’s Ward Pond’s Log Buffer #118.

In many parts of the world times are uncertain. I live in the United States and we are in the middle of a financial meltdown that many fear may be as bad as the Great Depression. Because the world’s economies are so linked it is causing severe distress in many other countries as well. I just read that two trillion dollars have been lost from nest eggs in the last 15 months here in the States.

I am not going to turn this into a rant about who is right, who is wrong, or  what should be done about it to resolve the problem. This isn’t the place. I probably don’t even have the right answer. I have a different angle.

If you are involved with MySQL as a database administrator, or if you work directly with MySQL in some other aspect, you can probably breathe a little easier. Why is this? MySQL Server has grown in market penetration for a long time. It is now a significant section of the RDBMS pie.  I predict that this market penetration will only continue to grow. As this economic downturn/recession/whatever continues, companies will look harder for ways to save money. What better way to do so than replace your proprietary RDBMS that can cost you significant amounts of money, with MySQL Server? For all intents, the same functionality is there, the speed and flexibility is certainly there, and there is a giant company behind MySQL now, providing “enterprise-ready” support.

The market is crying right now for MySQL database administrators. We don’t cost any more than Oracle or Microsoft DBAs, you know. Just a couple of years ago, very few companies hired MySQL DBAs. They hired developers who also did database administration, or a system administrators who also managed the MySQL server. Now, as the number of database servers increases and the amount of data grows they want real, honest-to-goodness database administrators. If you have production experience with MySQL server in any significant amount you will not have any problems finding a job. I don’t think this is going to change anytime soon. So, even if your company succumbs to the times, there are others out there who need your experience. Don’t be dismayed! Read the rest of this entry . . .

This is a post about SYSDATE() and NOW() and CURRENT_TIMESTAMP() functions in MySQL.

Firstly, note is that of these three, only CURRENT_TIMESTAMP() is part of the SQL Standard. NOW() happens to be an alias for CURRENT_TIMESTAMP() in MySQL.

Secondly, note that replication does not work well with non-deterministic functions. And “hey, what time is it?” is non-deterministic. Ask it twice, with a second apart between asking, and both times you get different results (with at least second precision).

You can start to see the problem here….but there’s more…. Read the rest of this entry . . .

Quite often we need to perform a so-called “MySQL instance audit”. This common DBA procedure should give you a general view of the MySQL environment. You may be interested in a basic understanding of what kind of operation MySQL performs, how much memory does it use, or how well does it look from the performance point of view. There is no easy out-of-the-box way to do such an audit on a MySQL server. You can use SHOW STATUS and check the list of system variables, but this way can hardly be called DBA-friendly.

Fortunately there are several tools to make this process easier. Among most popular are mysqlreport and MySQLTuner. In this post I’d like to give a brief overview of MySQLTuner.

So, what can MySQLTuner do? Quoting the documentation: “MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability. Within seconds, it will display statistics about your MySQL installation and the areas where it can be improved.”

It’s not magic — they don’t use any “hidden” or unknown MySQL features to provide the report. What they do is use SHOW STATUS metrics and provide a user-friendly report, interpreting data this or that way. What makes such tools really valuable is the way they interpret that data.

Read the rest of this entry . . .

Do you have a master-slave MySQL set up?  Ever do DDL changes on the master?  You may be hit with a serious data integrity bug.  Read on.

One of our clients does a regular rename tables on the master to keep the current table small and archive off old data.  We’d occasionally be hit by a ‘duplicate key’ error on the slave on the current table and have to resolve it manually.  Digging into the issue, I managed to replicate it on demand and filed bug 39675 with MySQL, which subsequently has been verified and slated for fix, though from what it seems only in version 6.0.  The bug affects all versions of MySQL from 4.1 to 6.0.

In a nutshell, here is what happens. The rename tables command only checks for pending transactions or locks in the current session.  If there is a pending transaction in another session on the table being renamed, the rename will succeed, but the order in which the transaction is written to the binlog will be different from the order in which the transactions were applied on the master.  This means that the data on the slave will now be out of sync for this table.

Here’s a test-case:

Read the rest of this entry . . .

My presentation was on the first day, right after the keynote, and following my habit of reviewing the slides before the show, I spent this keynote hour one-to-one with my MacBook. I could never underestimate the importance of this review following one fiasco I had in the past when I neglected to thoroughly review the existing slides of my older presentation before presenting it.

At the beginning of the session, once again I realized that DBA audience at AUSOUG conference is relatively small percentage. On the other hand it might be Tim Hall who has stolen my DBA audience to his session about PL/SQL 11g new features. Yeah… it must have been Tim as it turned out later he is the number two speaker in Australia. ;-)

My few jokes on the initial slides were not as good as they would be with larger audience but, at least, resulted in smiles so I guess I can call it success to a certain degree. The presentation itself went well I think but I wasn’t too trilled about it and there are few places I want to change before I present it at Gold Coast. Well, live and learn. I’ve got some positive responses afterward and even a piece of photography art tagged by “excellent” courtesy to Francisco Munoz Alvarez:

I managed to fit comfortably within 45 minutes with few question during and after the presentation. It’s been traditionally very difficult for me to manage 45 minutes slot but I guess I’m getting better at it.
Read the rest of this entry . . .

I got the idea for this article when one of our clients complained that their server’s performance was degrading during business hours. They thought it was weird that at the same time, SQL Server would list more than 1200 connections on SQL server Activity Monitor.

The server hosts more than 50 databases that serve an ASP.NET application hosted on some servers in a web farm. These servers issue connections to the databases in a distributed manner to balance the web application load. I tried to discover what these connections were doing and to what databases they were connected. Connections grouped by database:

select  db_name(dbid) , count(*) 'connections count'
from master..sysprocesses
where spid > 50 and spid  @@spid
group by  db_name(dbid)
order by count(*) desc

This showed some databases having more than 300 connections associated with them.

What about logins used?

select  loginame , nt_username, count(*) 'Connections count'
from master..sysprocesses
where spid > 50 and spid  @@spid
group by  loginame , nt_username
order by count(*) desc

This showed a mix of windows domain accounts (those with values in column nt_username, e.g: domain\user) beside SQL authentication accounts (those with column nt_username empty, e.g: “sa”).

In order to reduce the number of times that new connections must be opened, applications may use connection pooling. This was clearly not the case here, and all these connections resulted in what is known as “pool fragmentation”.

So what’s connection pooling? how does it work, what can cause pool fragmentation and how can we avoid/reduce it?

Read the rest of this entry . . .

Yesterday evening, a friend of mine had some issues with installing DBD::mysql, and asked if I had encountered the same issue. The problem, as the output from make test showed, was that certain symbols was missing:

#     Tried to use 'DBD::mysql'.
#     Error:  Can't load '/Users/westerlund/src/perl/DBD-mysql-4.008/blib/arch/auto/DBD/mysql/mysql.bundle' for module DBD::mysql: dlopen(/Users/westerlund/src/perl/DBD-mysql-4.008/blib/arch/auto/DBD/mysql/mysql.bundle, 2): Symbol not found: _is_prefix

Fair enough, this is related to a 64-bit issue with MySQL—at least with my Perl version, which is now:

Summary of my perl5 (revision 5 version 10 subversion 0) configuration:
  Platform:
    osname=darwin, osvers=9.5.0, archname=darwin-thread-multi-64int-2level

If you try to link to a x86_64 version of MySQL, then you get the above mentioned error. So, I downloaded an x86 version of MySQL and tried again. The output from perl Makefile.PL:

  cflags        (mysql_config) = -I/Users/westerlund/src/perl/mysql-5.1.28-rc-osx10.5-x86/include  -g -Os -arch i386 -fno-common   -D_P1003_1B_VISIBLE -DSIGNAL_WITH_VIO_CLOSE -DSIGNALS_DONT_BREAK_READ -DIGNORE_SIGHUP_SIGQUIT  -DDONT_DECLARE_CXA_PURE_VIRTUAL
  embedded      (mysql_config) =
  libs          (mysql_config) = -L/Users/westerlund/src/perl/mysql-5.1.28-rc-osx10.5-x86/lib -lmysqlclient -lz -lm     -lmygcc
  mysql_config  (Users choice) = /Users/westerlund/src/perl/mysql-5.1.28-rc-osx10.5-x86/bin/mysql_config

That looks all good and nice, the right paths, versions and everything. So I compiled it OK, but when running make test again: Read the rest of this entry . . .

Martin Brown’s blog shows a pretty good way of navigating the MySQL Reference Manual. It’s worth noting, however, that finding the different topics has been a lot easier since mysql.com started using a Google appliance for its search.

I use the documentation all the time and have been doing so for years (I won’t claim that I can remember +2000 pages worth of ever-changing content). A few years back, I stopped using the search box on dev.mysql.com because the result sets were enormous, with lots of unrelated references. My technique was to do a Google site search:

For replication use the expression: replication site:http://dev.mysql.com/doc/refman/5.0/en/index.html

The result set was smaller and I would find what I was looking for relatively easily, usually within the first page.

Since the documentation team implemented the Alphabetical Index, it has succeeded the Google search as my favorite way to get the information I needed. Things are easy to find and never more than a couple of URLs away.

Read the rest of this entry . . .