Re: Database design for large numbers of attributes

From: Dave <davidr21_at_hotmail.com>
Date: 16 Feb 2004 07:16:25 -0800
Message-ID: <8244b794.0402160716.58d814f_at_posting.google.com>


rjg96_at_yahoo.com (John) wrote in message news:<63394c1f.0402152348.7f8db6b2_at_posting.google.com>...
> I'm developing an application for medical use that will be used to
> capture patient background and visit data. The application will have
> approximately 50 forms, with an average of about 20 fields each-- so a
> total of 1000+ fields. Almost always, the fields are unique to a
> particular form--and it will be pretty unlikely that new forms and
> fields will be added--although not out of the realm of possibility.
> There will also be a search feature that will allow physicians to
> query for certain forms based on as many attributes as they want to
> use. Another relevant piece of info is that each form will have a
> status, and that it will be necessary to aggregate all of the form
> statuses for a patient to determine a patient status. The target
> database is ORacle 9i (9.2.0.2). Total number of patients will
> probably be around 10,000-- each will probably have an average of 50
> forms (including multipe visit forms)-- so about 500,000 forms.
> I'm trying to decide how to design the database:
> SHould I
> 1. use a "survey" type design, where every attribute will be a row in
> a response table?
> Pros:
> -most normalized
> -most flexible and easy to make "schema" changes
> Cons
> -Large number of rows in response table
> -cumbersome to work with
> -reduced performance
> 2. create a separate table for each form w/ its unique attributes, and
> a master table that has the common attributes and the primary keys
> Pros
> -Easier to work with
> -updates and selects will have better performance
> Cons
> -Not normalized?
> -The "ad-hoc" search queries and reports may be difficult to write and
> maintain (possibly solvable w/ a large view?)
> 3. Store all the data for each form as XML in an XMLType column (non
> schema based)
> Pros:
> -Easy to work with
> -updates and selects will have good performance (since i'm always
> updating or selecting an entire form)-- may actually have the best
> performance of all 4 options for updating and retrieving form data
> -normalized
> Cons
> -XML bloats storagce space requirements (but not really that big a
> deal)
> -Will make ad-hoc search and reporting queries perform(and probably
> use lots of RAM) more slowly since XML will have to be parsed in order
> for Xpath queries to run
> 4. USe oracle 9i's schema based XML feature
> Pros
> -Faster Xpath queries than option 3
> COns
> -If shcema changes, all generated objects have to be dropped and
> re-created-- seems like a big pain
> -If I was going to do tihs, why not just go with option 2.
>
>
> I'm most tempted by options 2 and 3-- and would really prefer 3 if
> there was a way to make sure that the ad-hoc queries would perform
> decently.

John -

The right answer really depends on your specific needs. Here are some things to think about....

Using the row based approach really hinders your ability to query effectively both from a performance standpoint and complexity of the query syntax. Using a column based approach really makes querying easier...for instance, "select * from tab1 where col1 > 2 and col2 <= col3+col4 or col5 is not null", etc... try doing this with a row based approach.

In the row-based approach, you also lose type checking since you have to store everything as a string and your model becomes less self-describing.

With a column-based approach, you lose some of the flexibility you mention of adding and removing attributes, but it doesn't sound like you need it. You could separate volatile vs. fixed attributes in separate tables if you find the need to support adding/removing attributes. Then you wouldn't have to rebuild everything when things change.

Nothing says you need to go with one approach only. Perhaps you can separate columns that are likely to be queried from ones that will not be queried and go with both a column and row-based approach. Or put all string based attributes in a row-based table if that would help.

If many of the attributes are simple yes/no answers, perhaps you could look into encoding them as a bit string within one column. For instance, Q1=Yes, Q2=No, Q3=Yes, could be represented as 101 in one table column and could be queried using the BITAND function. If you have 100 Yes/No answers, you've just compressed 100 columns into 1, but you need to make sure the BITAND function will support your queries and perform well.

I'm not that familiar with the XML functionality in Oracle yet, but I suspect if you have aggregate query requirements, then relational will perform better. But again, you may find a hybrid approach is best. Perhaps some of your attributes are best stored as XML.

These aren't answers, but I hope it gives you something to think about.

Good luck,
Dave Received on Mon Feb 16 2004 - 16:16:25 CET

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