Re: Suggestions on Speeding up a program

Requirements that sales has agreed to with the client.
I was wondering how much if any savings can be trimmed by moving all the inline variable declarations to actual D specs?

Sent from my iPhone

On Jan 4, 2013, at 3:37 AM, John McKay <jmckay@xxxxxxxxxxxxxxxx> wrote:

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. I 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.

You're right about the reason, but using data structures is unlikely 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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