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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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