[Cialug] mysql database design
David Champion
dchampion at visionary.com
Thu Aug 9 10:37:54 CDT 2007
It's not that bad, if you write your joins logically, using explicit
JOIN instead of just joining in the WHERE.
I'm just curious as to how you've come up with a situation where you
_have_ to join 10 tables.
-dc
Dave J. Hala Jr. wrote:
> I'm gonna give the massive join a try here sometime in the next couple
> of days. However, thinking about and running a sql statement for a
> 8-9-10 table join just makes my butt cheeks clench. We'll see how it
> goes.
>
> :) Dave
>
> On Thu, 2007-08-09 at 09:57 -0500, Morris Dovey wrote:
>> Dave J. Hala Jr. wrote:
>> | The primary key is an integer.
>> |
>> |
>> | On Thu, 2007-08-09 at 09:33 -0500, Morris Dovey wrote:
>> || Dave J. Hala Jr. wrote:
>> ||| I'm working on a database design for storing and retrieving
>> ||| demographic information. The server is Mysql 4.x
>> |||
>> ||| Basically, I have a "root" table with a primary key and ten tables
>> ||| with records (10,000 of them) that are related to the root table
>> ||| via the primary key. Inserting the data is at the moment a
>> ||| non-issue. However, retrieval is. Generally speaking I do not do
>> ||| joins across more then 3 tables. In this instance it could be
>> ||| helpful to do a join across more than 3.
>> |||
>> ||| My concern is performance. Has anyone been in this situation
>> ||| before? How did your database design get around this issue?
>>
>> In a couple of the systems I've worked on we implemented trie indexes
>> for _extremely_ fast retrieval. In one case the trie was used in
>> parallel with the indexing provided in a canned db package, and in the
>> others it was the only index used.
>>
>> If you're not familiar with the trie, you can probably find good info
>> via Google. It provides very fast retrieval, but only so-so insertion
>> speed.
>>
>> Morris Dovey
>> DeSoto Solar
>> DeSoto, Iowa USA
>> http://www.iedu.com/DeSoto/
>>
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