Re: query speed joining tables
От | Josh Berkus |
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Тема | Re: query speed joining tables |
Дата | |
Msg-id | web-2314937@davinci.ethosmedia.com обсуждение исходный текст |
Ответ на | query speed joining tables (Christopher Smith <christopherl_smith@yahoo.com>) |
Ответы |
Re: query speed joining tables
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Список | pgsql-sql |
Vernon, > In regarding of recomposing multivalued field as a separated table, I> have observed some advantages and > disadvantages of the approach. Good on search as you have pointed out> and bad on updating data, two operations > needed: deletion and insertion. A query may need to join a lot of> table together. In Christ's personal application, for > example, there are many mulitvalued fields such as relationship> status other then ethnicity. There will be some very long > and complex queries. Hey, it's your database. In my 8-year experience as a professionalDBA, few considerations ever outweigh normalization ina relationaldatabase. You are merely trading the immediate inconvenience of havingto construct complex queries and data-savingfunctions for the eventualhuge inconvenience (or possibly disaster) of having your data corruptedor at least having to modify it by hand, row-by-row. (Pardon me if I'm a little strident, but I've spend a good portion ofmy career cleaning up other's, and sometimes my own,database designmistakes and I had to see a disaster-in-the-making repeated) To put it another way: Your current strategy is saving a penny now inorder to pay a dollar tommorrow. For example, you currently store multiple ethnicities in a free-formtext field. What happens when:1) Your organization decidesthey need to split "Asian" into "Chinese"and "Other Asian"?2) Someone types "aisan" by mistake?3) You stop trackinganother ethnicity, and want to purge it from thedatabase?4) Your administrator decides that Ethnicity needs to beordered as"primary ethnicity" and "other ethnicities"?5) You need to do complex queries like (Asian and/or Caucasian butnotHispanic or African)? Your current strategy would require 4 seperatefunctional indexes to support that query, or doa table scan with 4row-by-row fuzzy text matches ... slow and memory-intensive either way. As I said, it's your database, and if it's a low-budget projectdestined to be thrown away in 3 months, then go for it. If,however,you expect this database to be around for a while, you owe it toyourself and your co-workers to design it right. If you want an education on database normalization, pick up FabianPascal's "Practical Issues in Database Design". -Josh Berkus
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