This is off the top of my head
With groupedfile as
(select distinct a.key1, a.key2, a.key3, a.Cmpsn_Type from fileA as a),
Countedfile as
(select b.key1, b.key2, b.key3, count(*) from groupedfile as b
Having count(*) greater than 1)
Select c.key1. c.key2, c.key3, d. Cmpsn_Type from countedfile as c join fileA as d on
c.key1 = d.key1 and
c.key2 = d.key2 and
c.key3 = d.key3
or something to that effect
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: midrange-l-bounces@xxxxxxxxxxxx [mailto:midrange-l-bounces@xxxxxxxxxxxx] On Behalf Of Dean Eshleman
Sent: Tuesday, November 06, 2012 11:54 AM
To: 'midrange-l@xxxxxxxxxxxx'
Subject: Validating data with SQL
I have 2 files. A detail file and a summary file. There is a field in both files called Compensation type. The summary file is based on rolling up the data from the detail file based on 15 key fields. All of which are attributes in the detail file. I am trying to verify that all of the detail records for a given set of keys have the same Compensation type. If they don't, having the Compensation type at the summary file level doesn't make sense.
Here is some sample data: (I shortened the # of key fields to make it easier to understand)
Key1 Key2 Key3 .... Cmpsn Type
1 2 3 Gold
1 2 3 Gold
1 2 3 Gold
1 2 3 Gold
1 3 5 Silver
1 3 5 Silver
1 3 5 Bronze
2 1 1 Bronze
2 1 1 Bronze
2 1 1 Bronze
2 1 1 Bronze
2 1 1 Bronze
3 2 1 Gold
In this set of records, I'm trying to identify the situation for the second set of keys (1,3,5) where the Compensation type is Silver on 2 records and Bronze on the third.
Dean Eshleman
Software Development Architect
Everence Financial
1110 North Main Street
PO Box 483
Goshen, IN 46527
Phone: (574) 533-9515 x3528
www.everence.com<
http://www.everence.com>
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