Merlin, Thank you very much for taking the time to write that detailed response to my question. I appreciate it very much.
You have helped me understand my design issue better, but I have another question if you have the patience to answer! :] I am actually working on a spatial extension for PostgreSQL that is similar to PostGIS, but compatible with a geometry library I am developing. I had first thought of using a "table" only desgin, with no custom data types, to store the geometry information in the database. For example, the "many_lines" table might store records representing multi-segmented lines. (One geometry made up of smaller connected line segments.) A separate table called "single_lines" would contain the actual lines. The link between the line segment geometries and the "many lines" geometries would be maintained by a one-to-many relationship. However, I began to realize that as my geometries became more complex I would begin to have more and more interdependent relationships. this in itself isn't a problem, until you consider that in a typical GIS system I might be dealing with thousands or tens of thousands of geometries. In the example above, if I wanted to find all of the line segment geometries that belonged to a"many line" geometry I would have to run a query on the "single_lines" table. I am concerned about the performance of a system that would frequently rely on a cascade of these types of searches. If I instead implement a custom "many lines" geometry data type I can now directly access the line segment geometries. Do you think this reasoning is sound? Are custom data types the right solution? Or am I being overly concerned about the performance issues? If custom data types aren't a good idea in this situation, when are they? I can think of almost no situation when I can't mirror the functionality of a custom data type with a series of related database tables. Thanks Again, Scott Huey On 7/24/06, Merlin Moncure <[EMAIL PROTECTED]> wrote:
On 7/24/06, Redefined Horizons <[EMAIL PROTECTED]> wrote: > I've got a few questions about creating custom data types for PostgreSQL. ok, i have a weakness for medieval stuff, so: > I'm not sure how to phrase the questions without an example, so here goes: > > I'd like to create a custom data type representing a Medieval Knight. > (This isn't what I really want to do, it's just an example.) > One of the "properties" of this Medieval Knight data type that you can > access through custom functions is "Combat Skill", which represents a > Knights fighting ability. > > The Knight's fighting ability depends on two things. His horse, and > his sword. The custom functions that work with the Medieval Knight > data type know how to manipulate the properties of Horses and Swords > as well. > > My Medieval Knight datatype "contains" a horse and sword. In the C > programming language implementation of my datatype I would like to > represent Swords and Horses with seperate structs, rather than > throwing everything together into a single Medieval Knight struct. > > Is it possible to define the Sword and Horse structs in the same DLL > that I define my Knight struct in, but not have Swords and Horses > available as custom data types themselves? > > I want to have 3 separate structs for programming simplicity, but I > want to embody them in a single custom data type and set of custom > functions for PostgreSQL. This is not necessarily a custom data type question, this is a data modeling question. Your phrasing suggests that you have a programming background...in the database world it's a bit different. The closest thing to the custom type as you described it is the composite type. Composite types are groupings of other types. When you create a table, by the way, a composite type is automatically created for you. you can also create your own using http://www.postgresql.org/docs/8.1/static/sql-createtype.html (look at the first form of create type). so, create table knight(combat_skill numeric, weapon text, horse text); gives you a 'knight' type, now you can: select (1.0, 'sword', 'trigger')::knight; which composes the knight type out of the fields using a row constructor. This isn't really necessary though, in most cases it's safe just to use tables without consideration of its type at all, a table is just a set of a type defined in its create table statement. Let's say you wanted to develop the horse further... create table horse(name text primary key, age int, speed numeric); let's link the knight to his horse: alter table knight add foreign key(horse) references horse; this is not the only way to do this, but this is more of a relational approach than what you suggested in your email. the key to understanding sql and data modeling is reducing data to it's functional dependencies so changes/additions to your data are as local as possible. This is a little bit diffferent than you might think of things from a C perspective. merlin
---------------------------(end of broadcast)--------------------------- TIP 9: In versions below 8.0, the planner will ignore your desire to choose an index scan if your joining column's datatypes do not match