RE: Translating CSV to Data Structure (or iterating through a data structure)

Hi Mike
I use this principal in a program that's running in the back ground for 24 hours a day
The program processes 50000 records a day no problem, with quite a large amount of idle time
Granted its io bound, but in my own thought process, the problems in parsing a record far outweighed the io situation
(By the way, we are at 5.4, if it means anything)

Alan Shore
Programmer/Analyst, Direct Response
E:AShore@xxxxxxxx
P:(631) 200-5019
C:(631) 880-8640
"If you're going through Hell, keep going" - Winston Churchill


-----Original Message-----
From: rpg400-l-bounces@xxxxxxxxxxxx [mailto:rpg400-l-bounces@xxxxxxxxxxxx] On Behalf Of Mike Wills
Sent: Tuesday, May 10, 2011 10:45 AM
To: RPG programming on the IBM i / System i
Subject: Re: Translating CSV to Data Structure (or iterating through a data structure)

That seems like a lot of I/O for a document with a few hundred lines.
This thought did cross my mind, but the I/O is what caused me pause. I don't know how many documents a day they will get.

--
Mike Wills
http://mikewills.me



On Tue, May 10, 2011 at 8:56 AM, Alan Shore <ashore@xxxxxxxx> wrote:

Hi Mike
Hopefully, this makes some sense
If you can recognize the format of each record BEFORE parsing, why
don't you read the csv file, create a temporary file in QTEMP for that
format, and the use the CPYFRMIMPF from that one record file into
another file of the correct format Saves the headache of trying to
write something to parse out the data correctly


Alan Shore
Programmer/Analyst, Direct Response
E:AShore@xxxxxxxx
P:(631) 200-5019
C:(631) 880-8640
"If you're going through Hell, keep going" - Winston Churchill

-----Original Message-----
From: rpg400-l-bounces@xxxxxxxxxxxx
[mailto:rpg400-l-bounces@xxxxxxxxxxxx] On Behalf Of Mike Wills
Sent: Tuesday, May 10, 2011 9:44 AM
To: RPG programming on the IBM i / System i
Subject: Translating CSV to Data Structure (or iterating through a
data structure)

I have a document I need to parse where each row is a different format. The document is pipe "|" delimited. Is is possible to write a more generic subprocedure to take each row and a data structure and fill in the data structure? What I am thinking is iterating through each field in the data structure and filling it with the corresponding field from the CSV line that I parse. Is this even possible?

--
Mike Wills
http://mikewills.me
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