So I\'m working on a data mining project where we\'re looking at code elements and their relationships and changes to these things over time. What we want is to ask some questions about how often rela
I am just not able to get the table indexes to use themselves in this table join : explain select n.* from npi n,npi_taxo开发者_如何转开发nomy nt where n.NPI=nt.NPI_CODE;
i got a form (using form api and drupal_Get form ) and i got a form开发者_开发问答 with 50 fields and some of them are non frequently chaning data like hobbies, year of birth , city/country etc...
Is there a performance benefit to removing OR statements? Which compiles faster SELECT id FROM mytable where (x=0 or x=1)
My query is selecting on a date and a numeric key range, I\'m not sure if I can improve on this, but I thought I\'d ask. I\'m hoping to improve the speed.
I need some help trying to improve the speed of my script. Heres the two queries.. $sql = \"SELECT PadID FROM keywords WHERE Word = \'$search\'\";
I have a system which will return all users from the database and order the results by lowest distance from a reference zip code.
I\'ve found info on how to optimize MySQL queries, but most of the tips seem to suggest avoiding things MySQL isn\'t built for (e.g., calculations, validation, etc.)My query on the other hand is very
I have got a POSTS table, the structure is like this: CREATE TABLE IF NOT EXISTS `posts` ( `id` int(11) NOT NULL AUTO_INCREMENT,
I want to scan a type for it\'s properties and the annotated attributes and return an object with the following structure