Understanding MySQL binary and non-binary string data types

Having reviewed different table structures designed by different people, I have come to the conclusion that binary and non-binary string data types are used without consideration of the consequences of choosing either one. The confusion stems from the fact that both non-binary and binary string data appear to store characters because they can be saved as quoted string.

On Hot Backups and Restore using XtraBackup

Backups are an integral and very important part of any system. Backups allow you to recover your data and be up and running again, in the advent of problems such as system crashes, hardware failures or users deleting data by mistake. I had been evaluating backup solution for a while but to be honest I really wasn't satisfied with the solutions available until I came across XtraBackup and I am loving it since. In this post I intend on showing

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Tuning InnoDB Configuration

I had earlier written a post on tuning the MySQL server configuration which was more geared towards the MyISAM storage engine. While that is not because I didn't intend on ignoring InnoDB but because I had planned a whole post on tuning InnoDB related configuration. So this post is the post that I had planned, I have discussed the major configuration parameters in here that should help you out most of the times.

A step by step guide to upgrading to MySQL 5.5

MySQL 5.5 has created a lot of hype and its not just hype, there are major performance enhancements not only in the MySQL server itself but in the newer InnoDB plugin shipped with MySQL 5.5. That's exactly the reason why I have myself upgraded to MySQL 5.5 (The server running this blog run MySQL 5.5). Now since I haven't come across a guide to help in upgrading to MySQL 5.5, I thought why not make one myself

MySQL Paginated displays – How to kill performance vs How to improve performance!

Pagination is used very frequently in many websites, be it search results or most popular posts they are seen everywhere. But the way how it is typically implemented is naive and prone to performance degradation. In this article I attempt on explaining the performance implications of poorly designed pagination implementation. I have also analyzed how Google, Yahoo and Facebook handle pagination implementation. Then finally i present my suggestion which will greatly improve the performance related to pagination.

Tuning MySQL Server Settings

The default configuration file for MySQL is intended not to use many resources, because its a general purpose sort of a configuration file. The default configuration does enough to have MySQL running happily with limited resources and catering to simple queries and small data-sets. The configuration file would most definitely need to be customized and tuned if you intend on using complex queries and when you have good amount of data. Most of the tunings mentioned in this post are

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Databases: Normalization or Denormalization. Which is the better technique?

This has really been a long debate as to which approach is more performance orientated, normalized databases or denormalized databases. So this article is a step on my part to figure out the right strategy, because neither one of these approaches can be rejected outright. I will start of by discussing the pros and cons of both the approaches. Pros and Cons of a Normalized database design. Normalized databases fair very well under conditions where the applications are write-intensive and

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The “Shadow Table” trick.

The need: Often there is a requirement where data in a particular table has to be processed, and the data processing might be slow, while the table might be a one that is used by your application extensively. For example, a logging table that logs page hits. Or there might be an archiving operation that has to be performed on a particular table. Archiving / processing / aggregating records, all these operations are slow and can really blog down a

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Performance tuning using vertical partitioning.

Does having small data-sets really help? Of course it does! Are memory lookups faster that disk lookups. Of course ! So many times I have seen people complain about queries taking too long now, while they were not taking that long earlier. There is one big reason for this, earlier the size of data-set was small so it could fit into memory. Now that the data-set has grown large enough that it cannot fit entirely into memory, the disk seeks

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MySQL Indexes – Multi-column indexes and order of columns

The problem: Many a times people find that they create index but the query is still slow or the index is not being used by MySQL to fetch the result-set. Mostly the reason is that the index is not created properly, either not the right columns being indexed or the order of columns in the index does not match how its being used in the query. The order of index! What’s that. Well that’s what we will be discussing today.

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