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Binary, packed and integer fields can affect speed also. I remember--
reading somewhere that integer are faster than binary.
I would also reduce the number of jumps in the program, i.e. reduce
the number of functions / subroutines, put more into one, it's messy,
but should gain some speed. Keep the most frequently used functions /
subroutines closer to the body of the program.
Use program optimization.
If you can, reduce the number of files and their record length.
Constraints. triggers, etc will also reduce processing time.
I may have missed something, but why is speed such a particularly high
consideration here?
Regards,
John McKay mba
On 03/01/2013 22:16, Barbara Morris wrote:
On 2013/1/3 2:27 PM, Anderson, Kurt wrote:
Reading files into data structures is supposed to be faster. IYou're right about the reason, but using data structures is unlikely
don't know the specifics as to why, so I'm loathe to say, but I
believe it's due to how it moves the entire record into the data
structure instead of moving the data field by field.
to have any real impact on performance. Although if there are a lot
of date, time, or timestamp fields in the record, it _might_ make a
noticeable difference to use a data structure. But in general, I
would say that the decision to read into a data structure should be
based on other reasons than performance.
--
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