I am just starting up with Lucene, and I\'m trying to index a database so I can perform searches on the content. There are 3 tables that I am interested in indexing:
I keep hearing that one of the ways to architect a scalable website is to not use joins. How is the world do you do that since most data is relational?
how good is the datetime for questions like: Compare sales from Monday and Thusday? Mysql keeps datetime as a unix-timestamp internally? So finding mondays will be quite expensive.
I am trying to figure out a script to take a MySQL query and turn it into individual queries, i.e. denormalizing the query dynamically.
Given the table tblProject.This has a myriad of properties.For example, width, height etc etc.Dozens of them.
I\'m developing an application for GAE that has a fairly complex data model. Based on my understanding, a good way to handle a complex data model using a noSQL database, especially GAE, is touse de-n
Use a high level of redundant, denormalized data in my DB designs to improve performance.I\'ll often store data that would normally need to be joined or calculated. For example, if I have a User table
How can I normalize a vector to the range [-1;1] I would like开发者_开发百科 to use function norm, because it will be faster.
I\'m pondering the best method to handle Users and Accounts for a website. Every User belongs to a single Account, Accounts can have multiple Users. The tables will be MyISAM so there is no DB-enforc
This question, although similar to others, doesn\'t seem to be a duplicate. If it is, please clarify and I will be happy to merge.
加载中,请稍侯......