I have the following query: SELECT SUM(s.count) as count, a.name, s.author_id as id FROM twitter_author_daily_stats s
Using Rails 3.1 and gem \'acts-as-taggable-on\' version 2.1.1. I have a class: class Meal < ActiveRecord::Base
I have an entry table with the columns as shown below: id | ans_1 | ans_2 | ans_3| ans_4| ans_5| date Some sample data in the table as shown below:
I\'m happily taking any advice on this - be it rewriting the query, or setting up the tables differently.
I am using MySQL version 5.5.14 to run the following query from a table of 5 Million rows: SELECT P.ID, P.Type, P.Name, P.cty
I read from MySQL Performance Blog that depending on the selectivity of a query, a full table scan can be faster than an index scan. Bearing such knowledge in mind, I experimented with a query having
I have a game, where for each round player gets a prize and rating by total prize is calculated. I use such schema:
I\'m sure there is a better way to do this. It looks at an applications table and collects all applications of a certain status for each job.
UPDATE: Crap! it\'s not an integer it\'s character varying(10) Executing the query like this uses the index
This is a follow up based on this question about query optimization. In order to make fast selection, as suggested, I tried to pre-compute some data at insertion time using a trigger.
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