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Showing entries 1 to 5

Displaying posts with tag: Optimisation (reset)

Optimising Web Servers
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I was lucky enough to attend PyCon-AU recently and one talk in particular highlighted the process of web server optimisation.

Graham Dumpleton’s add-in talk Web Server Bottlenecks And Performance Tuning available on YouTube (with the majority of PyCon-AU talks)

The first big note at the beginning is that the majority of the delay in user’s perception of a website is caused by the browser rendering the page. Though not covered in the talk for those that haven’t used the tool YSlow (for Firefox and Chrome) or Google’s Developer

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Database metics - thoughts and measurements
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If I were to ask you 'what are the (database) metrics?', what do you think I'm asking? Thats an interesting question and something that requires some thought so lets handle this by actually looking at the following two alternative questions. 'What am I trying to archive [with database metrics]?' and 'how will I know when I have achieved it [by having database metrics]'?

Define the problem

What are we really doing
What are we trying to achieve?
  • Know how much capacity we have
  • Know that our databases are fast

How do we know when we have achieved it?
  • When we can forward plan upgrades when we are near a capacity limit
  • To be alerted of when things are not fast we can we investigate
So, what is capacity

Capacity is knowing how much extra we can do without making things 'slow'. Its










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Formation Optimisation MySQL
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Désolé, il ne reste plus de place pour cette matinée dédiée à l'optimisation des performances MySQL.

Date : 24 novembre 2009

Session 1 : 9h30-10h45

  • Architecture MySQL : Parsing, exécution, optimizer, query cache, binlog…etc
  • Architecture Innodb : Clustered index, bufferpool, hash index, insert buffer, locking model, MVCC, recovery log, checkpoint…etc. Comparaison avec les autres moteurs de stockage (PBXT, MySQL Cluster) et bases de données (PostgreSQL, Oracle ..).


Pause/Café : 10h45-11h00.

Session 2 : 11h00-12h30

  • Évolutions récentes : Google SMP patches,  XtraDB, Oracle innodb plugin 1.0.4
  • Apports de MySQL 5.4
  • Améliorations à








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Free MySQL Cluster Performance Tuning webinar – TODAY!
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MySQL Cluster Performance Tuning Best Practices

Are you experiencing current performance bottlenecks in your high availability applications ? Are you designing a new mission-critical application and want to know how best to structure your schema and index strategy for optimal performance? Interested in how to transform your SQL into faster, more efficient queries?

Then this free web presentation is for you! You will get expert insight and learn best practices to help you identify those areas of database and application design that will give you the greatest benefits for performance when using MySQL Cluster.

We will discuss guidelines and best practices covering the following areas:

  • General Design Concepts and Guidelines
  • Schema Optimization
    • BLOB/Text vs VARBINARY/VARCHAR
    • Partition by Key
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INET_ATON & INET_NTOA
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I have been spending a few days looking into optimisation for a few of our products, the biggest of which is Intellichat, which this great MySQL function is soon to be used for. Intellichat handles thousands of chats every hour, we average at about 190,000 chats a day, which is increasing daily. Every one of these chats holds information about the chat, from the Agent name, through the the IP address that launched the chat. This data allows us to provide detailed statistics to our customers from which Agent name converts best to which Country generates the most sales for their product.

*** Please note that all data sizes below are taken from the PHPMyAdmin row size and not the individual data size as listed in the mysql manual ***

Since starting out, I had always used a char(15) which uses 16 bytes to

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Showing entries 1 to 5

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