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9.8

Optmize PHP-MySQL performance

Asked by ldbkutty in PHP Scripting Language, MySQL Server, PHP and Databases

Tags: PHP MySQL Optimization

Dear All,

We have a PHP application which takes CSV file as input and converts it into MySQL table (Using LOAD DATA INFILE ... command). The first line of the CSV file is the table columns and all other lines are the table rows/records. The CSV file is so huge that it might contain 250 columns and 100,000 records (totally, around 50 MB)

We currently apply VARCHAR (255) for all the columns, since determining datatype from the CSV file involve huge processing (parsing, applying algorithm to find datatype, etc.)

So, our idea is, when the table creation is completed, then we use COUNT query to determine the datatype (INT or VARCHAR) and apply the length (1 to 255 for VARCHAR; 1 to 11 for INT). This would atleast improve the table structure.

The table creation using LOAD DATA INFILE ... command is faster! But determining the datatype of each column and applying ALTER TABLE query takes too much of time.

Since this operation could be done at the server side, how could this ALTER TABLE query process be made faster without having much impact on the performance.

Please advise. Thanks!
 
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[+][-]09/01/09 05:23 AM, ID: 25230765Accepted Solution

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Zones: PHP Scripting Language, MySQL Server, PHP and Databases
Tags: PHP MySQL Optimization
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Solution Provided By: Ray_Paseur
Participating Experts: 2
Solution Grade: A
 
[+][-]08/28/09 03:03 AM, ID: 25206083Assisted Solution

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