Which one is better, regarding performance point of view.

Hi friends,
I have a report, which has 10 columns.
Now in order to pull data for all 10 columns, i need to access 8 tables.
Ex.. open ref_cursor for
select col1, col2, col3,.. col10
from table1, table2, table3.. table8
now i use 3 of those tables for getting column2.
Is it better to call another function (which returns this value) to pull this column2 or is it better to just join the tables to get this column?
Does using a function decrease the performance ?
Thank you
Jack

I would say try to construct the query using just SQL if at all possible. If you are attempting to do procedural operations on the data that cant be achieved through standard SQL (via case statements and the like), you probably don't have much of a choice other than to using a function or procedure. At any rate, there really isn't enough information to tell you which is better. My process for designing programs, jobs, reports, or queries tends to follow the same process when I am working solo:
1. Outline what I want on paper
2. Outline how to get it on paper
3. Create a rough draft in pseudo code
4. Write the actual code
5. Verify that I am getting consistent and correct results
6. Trace the job, program, or query in the database using a 10046 trace or, If it is pl/sql, profile it using DBMS_PROFILER
7. For 10046, I profile the trace file using a profiler of some sort (usually not tkprof unless I am working with a single statement)
8. Review the profile for issues, bugs, or poorly performing queries
I basically use the response time profiling methodology (I like this text for response time optimization techniques: Optimizing Oracle Performance, Millsap/Holt, Oreilly 2003) to identify the issues. If I determine the SQL is the issue, it is time to break out a harness tool (a tool that captures statement level execution statistics) to help me test alternatives. After I have tuned the query to my satisfaction, I repeat steps 5-8.
Please note, this is a very broad overview of my personal process and may not meet your needs. There are plenty of other considerations when designing or troubleshooting when performance improvement is the goal.

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I'm writing a small system that needs to track changes to certain columns on 4 different tables. I'm using triggers on those columns to write the changes to a single "change register" table, which has 12 columns. Beacuse the majority of tracked data is not shared between the tables, most of the columns will have null values. From a design point of view it is apparent that having 4 separate change register tables (one for each main table that is being tracked), would be better in terms of avoiding lots of null columns for each row, but I was trying to trade this off against having a single table to see all changes that have been made across the tracked tables.
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