May 22, 2013

InnoDB: look after fragmentation

November 5, 2009 By 12 Comments

One problem made me puzzled for couple hours, but it was really interesting to figure out what’s going on. So let me introduce problem at first. The table is

Table has 11864696 rows and takes Data_length: 698,351,616 bytes on disk The problem is that after restoring table from mysqldump, the query that scans data [...]

Filed Under: Insight for DBAs, MySQL Tagged With:

MySQL-Memcached or NOSQL Tokyo Tyrant – part 1

October 15, 2009 By 16 Comments

All to often people force themselves into using a database like MySQL with no thought into whether if its the best solution to there problem. Why?  Because their other applications use it, so why not the new application?  Over the past couple of months I have been doing a ton of work for clients who [...]

Filed Under: Benchmarks, Cloud and NoSQL, MySQL Tagged With: , ,

Analyzing air traffic performance with InfoBright and MonetDB

October 2, 2009 By 50 Comments

Accidentally me and Baron played with InfoBright (see http://www.mysqlperformanceblog.com/2009/09/29/quick-comparison-of-myisam-infobright-and-monetdb/) this week. And following Baron’s example I also run the same load against MonetDB. Reading comments to Baron’s post I tied to load the same data to LucidDB, but I was not successful in this. I tried to analyze a bigger dataset and I took public [...]

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Quick comparison of MyISAM, Infobright, and MonetDB

September 29, 2009 By 30 Comments

Recently I was doing a little work for a client who has MyISAM tables with many columns (the same one Peter wrote about recently). The client’s performance is suffering in part because of the number of columns, which is over 200. The queries are generally pretty simple (sums of columns), but they’re ad-hoc (can access [...]

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Why InnoDB index cardinality varies strangely

September 28, 2009 By 5 Comments

This is a very old draft, from early 2007 in fact. At that time I started to look into something interesting with the index cardinality statistics reported by InnoDB tables. The cardinality varies because it’s derived from estimates, and I know a decent amount about that. The interesting thing I wanted to look into was [...]

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Just do the math!

July 6, 2009 By 4 Comments

One of the most typical reasons for performance and scalability problems I encounter is simply failing to do the math. And these are typically bad one because it often leads to implementing architectures which are not up for job they are intended to solve. Let me start with example to make it clear. Lets say [...]

Filed Under: Insight for Developers Tagged With:

Slow DROP TABLE

June 16, 2009 By 21 Comments

It is a known fact that ext3 is not the most efficient file system out there and for example file removals can be painfully slow and cause a lot of random I/O. However, as it turns out, it can sometimes have a much more severe impact on the MySQL performance that it would seem. When [...]

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Detailed review of Tokutek storage engine

April 28, 2009 By 21 Comments

(Note: Review was done as part of our consulting practice, but is totally independent and fully reflects our opinion) I had a chance to take look TokuDB (the name of the Tokutek storage engine), and run some benchmarks. Tuning of TokuDB is much easier than InnoDB, there only few parameters to change, and actually out-of-box [...]

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PROCEDURE ANALYSE

March 23, 2009 By 9 Comments

Quite common task during schema review is to find the optimal data type for the column value – for example column is defined as INT but is it really needed or may be SMALLINT or even TINYINT will do instead. Does it contain any NULLs or it can be defined NOT NULL which reduces space [...]

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High-Performance Click Analysis with MySQL

December 22, 2008 By 13 Comments

We have a lot of customers who do click analysis, site analytics, search engine marketing, online advertising, user behavior analysis, and many similar types of work.  The first thing these have in common is that they’re generally some kind of loggable event. The next characteristic of a lot of these systems (real or planned) is [...]

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