Yep!
You have to run the services multiple times until you trap all invalid
numeric values!
... but the service is in the SYSTOOLS schema, that means it is not in the
normal support, but with reverse engineering you can get the SQL source code
... so you can modify it and create your own function.
Another alternative is using TRY_CAST on every numeric column and if it
returns NULL replace it with a valid numeric value (normally 0).
Which, in composition with dynamic SQL is what I have used for my function
for revising invalid numeric values ... and even in before
insert/update/delete triggers that check for invalid numeric values, and
revise them, so SQL tables will not crash, when writing invald data.
Mit freundlichen Grüßen / Best regards
Birgitta Hauser
Modernization ? Education ? Consulting on IBM i
Database and Software Architect
IBM Champion since 2020
"Shoot for the moon, even if you miss, you'll land among the stars." (Les
Brown)
"If you think education is expensive, try ignorance." (Derek Bok)
"What is worse than training your staff and losing them? Not training them
and keeping them!"
"Train people well enough so they can leave, treat them well enough so they
don't want to. " (Richard Branson)
"Learning is experience ? everything else is only information!" (Albert
Einstein)
-----Original Message-----
From: MIDRANGE-L <midrange-l-bounces@xxxxxxxxxxxxxxxxxx> On Behalf Of Dan
Bale via MIDRANGE-L
Sent: Thursday, 7 May 2026 23:08
To: Midrange Systems Technical Discussion <midrange-l@xxxxxxxxxxxxxxxxxx>
Cc: Dan Bale <dan.bale@xxxxxxxxxxxxxxxxxxxxx>
Subject: SQL to identify bad data in numeric columns
I found the systools.validate_data_file table function. It "works", but it
returns only one result per row that may have more than one numeric column
with invalid data. I would like the results to show all invalid columns for
a given row, not just one.
I extracted the source for this, but I'm wondering whether anyone else has
already invented this wheel and is willing to share.
- Dan Bale
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