RE: SQL: how to filter out spaces in fields defined as packed numeric

["Richard Casey" <casey_r@xxxxxxxxxxxxxxxx>]

If the bad data in OrderQty is only blanks, this should work.

	SELECT * FROM datafile WHERE SUBSTR(HEX(OrderQty),1,2) <> '40'

Good luck!
Richard


-----Original Message-----
From: midrange-l-bounces@xxxxxxxxxxxx
[mailto:midrange-l-bounces@xxxxxxxxxxxx] On Behalf Of Stone, Joel
Sent: Monday, February 11, 2013 12:29 PM
To: Midrange Systems Technical Discussion
Subject: RE: SQL: how to filter out spaces in fields defined as packed
numeric

Yikes there are over 100 columns in this file.  Any way to accomplish
WITHOUT naming almost all columns?

Also I need to copy each record AS IS, without dropping any columns.  I want
to drop entire records with any bad data, but other records must retain all
columns.

Thanks




-----Original Message-----
From: midrange-l-bounces@xxxxxxxxxxxx
[mailto:midrange-l-bounces@xxxxxxxxxxxx] On Behalf Of Jeff Young
Sent: Monday, February 11, 2013 10:45 AM
To: Midrange Systems Technical Discussion
Subject: Re: SQL: how to filter out spaces in fields defined as packed
numeric

Joel,
Try this:
SELECT f1.f2.etc.  from Datafile where substr(OrderQty,1,1) = x'40'
Replace the f1,f2,etc with field names from the file, but not the OrderQty
which SQL will see as invalid data.



On Mon, Feb 11, 2013 at 11:34 AM, Stone, Joel <Joel.Stone@xxxxxxxxxx> wrote:

> I have a file with hex '40' spaces in a field OrderQty defined to DDS 
> as pack numeric.
>
> I am using SQL to read the file and SQL croaks when it reads these 
> nasty invalid records.
>
> Is it possible to filter out these records in SQL?
>
> For example something like:
>
> SELECT * from Datafile where left(OrderQty,1) = *blanks
>
>
> Here is the SQL error:
> Data mapping error on member SQLTEMP1.
> A data mapping error occurred on field    OrderQty in
>
>
> 1 -- There is data in a decimal field that is not valid.
>
> ______________________________________________________________________
> This outbound email has been scanned for all viruses by the 
> MessageLabs Skyscan service.
> For more information please visit http://www.symanteccloud.com 
> ______________________________________________________________________
> --
> This is the Midrange Systems Technical Discussion (MIDRANGE-L) mailing 
> list To post a message email: MIDRANGE-L@xxxxxxxxxxxx To subscribe, 
> unsubscribe, or change list options,
> visit: http://lists.midrange.com/mailman/listinfo/midrange-l
> or email: MIDRANGE-L-request@xxxxxxxxxxxx Before posting, please take 
> a moment to review the archives at 
> http://archive.midrange.com/midrange-l.


--
Jeff Young
Sr. Programmer Analyst
--
This is the Midrange Systems Technical Discussion (MIDRANGE-L) mailing list
To post a message email: MIDRANGE-L@xxxxxxxxxxxx To subscribe, unsubscribe,
or change list options,
visit: http://lists.midrange.com/mailman/listinfo/midrange-l
or email: MIDRANGE-L-request@xxxxxxxxxxxx Before posting, please take a
moment to review the archives at http://archive.midrange.com/midrange-l.


________________________________________________________________________
This inbound email has been scanned for all viruses by the MessageLabs
SkyScan service. 
________________________________________________________________________

______________________________________________________________________
This outbound email has been scanned for all viruses by the MessageLabs
Skyscan service.
For more information please visit http://www.symanteccloud.com
______________________________________________________________________
--