General SQL Development
 
Forums: » Register « |  User CP |  Games |  Calendar |  Members |  FAQs |  Sitemap |  Support | 
 
User Name:
Password:
Remember me
 
Go Back   Dev Articles Community ForumsDatabasesGeneral SQL Development

Reply
Add This Thread To:
  Del.icio.us   Digg   Google   Spurl   Blink   Furl   Simpy   Y! MyWeb 
Thread Tools Search this Thread Display Modes
 
Unread Dev Articles Community Forums Sponsor:
  #1  
Old November 27th, 2008, 06:12 AM
squarefish squarefish is offline
Registered User
Dev Articles Newbie (0 - 499 posts)
 
Join Date: Nov 2008
Posts: 2 squarefish User rank is Just a Lowly Private (1 - 20 Reputation Level) 
Time spent in forums: 6 m 2 sec
Reputation Power: 0
Help constructing a query

Hi there,

I have the following table of data.

type | FP | IP | WP | Code
---------------------------------
retail | 100 | 200 | 0 | CUC
retail | 1000| 0 | 200 | CUC
used | 100 | 200 | 400 | ASC
retail | 0 | 200 | 400 | CUC
used | 100 | 200 | 0 | CUC

What I would like to see is the following

type | FP | IP | WP | Code
---------------------------------
retail | 2 | 2 | 2 | CUC
used | 0 | 1 | 1 | CUC
used | 1 | 1 | 1 | ASC

So basically if there is a value greater than 0 in FP, IP, and WP it should add to a count. It should be grouped by code and type.

I can't figure out if this is even possible in one go or not?

Help

Richard

Reply With Quote
  #2  
Old November 28th, 2008, 02:44 PM
dykebert's Avatar
dykebert dykebert is offline
Contributing User
Dev Articles Newbie (0 - 499 posts)
 
Join Date: Apr 2008
Posts: 408 dykebert User rank is Just a Lowly Private (1 - 20 Reputation Level) 
Time spent in forums: 4 Days 20 h 27 m 28 sec
Reputation Power: 2
If you are using MS Access the query looks like this:

SELECT DISTINCT
Type,
DCount("FP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND FP > 0") AS FPCnt,
DCount("IP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND IP > 0") AS IPCnt,
DCount("WP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND WP > 0") AS WPCnt,
Code
FROM <tableName>;

I'm not sure if SQL server has the DCount function or not.

Otherwise you need to do something like this:

Code:
SELECT DISTINCT <tableName>.Type, FPCnt, IPCnt, WPcnt, <tableName>.Code
FROM ((<tableName> 
   Left Outer JOIN [SELECT Type, Count(FP) as FPCnt, Code
      FROM <tableName> 
      WHERE  FP > 0
      GROUP BY Type, Code]. AS qryFP 
   ON (<tableName>.Code = qryFP.Code) AND (<tableName>.Type = qryFP.Type)) 
   Left Outer JOIN (SELECT Type, Count(IP) as IPCnt, Code
      FROM <tableName> 
      WHERE  IP > 0
     GROUP BY Type, Code) AS qryIP 
   ON <tableName>.Type = qryIP.Type AND <tableName>.Code = qryIP.Code)
   Left Outer JOIN (SELECT Type, Count(WP) as WPCnt, Code
      FROM <tableName> 
      WHERE  WP > 0
     GROUP BY Type, Code) AS qryWP 
   ON <tableName>.Type = qryWP.Type AND <tableName>.Code = qryWP.Code


In either case you will need to replace <tableName> with the name of your table.

Have fun!
__________________
P.S. I am looking for work. <grin>.

Reply With Quote
  #3  
Old November 28th, 2008, 05:09 PM
squarefish squarefish is offline
Registered User
Dev Articles Newbie (0 - 499 posts)
 
Join Date: Nov 2008
Posts: 2 squarefish User rank is Just a Lowly Private (1 - 20 Reputation Level) 
Time spent in forums: 6 m 2 sec
Reputation Power: 0
Quote:
Originally Posted by dykebert
If you are using MS Access the query looks like this:

SELECT DISTINCT
Type,
DCount("FP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND FP > 0") AS FPCnt,
DCount("IP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND IP > 0") AS IPCnt,
DCount("WP","<tableName>","Type = """ & Type & """ AND Code = """ & code & """ AND WP > 0") AS WPCnt,
Code
FROM <tableName>;

I'm not sure if SQL server has the DCount function or not.

Otherwise you need to do something like this:

Code:
SELECT DISTINCT <tableName>.Type, FPCnt, IPCnt, WPcnt, <tableName>.Code
FROM ((<tableName> 
   Left Outer JOIN [SELECT Type, Count(FP) as FPCnt, Code
      FROM <tableName> 
      WHERE  FP > 0
      GROUP BY Type, Code]. AS qryFP 
   ON (<tableName>.Code = qryFP.Code) AND (<tableName>.Type = qryFP.Type)) 
   Left Outer JOIN (SELECT Type, Count(IP) as IPCnt, Code
      FROM <tableName> 
      WHERE  IP > 0
     GROUP BY Type, Code) AS qryIP 
   ON <tableName>.Type = qryIP.Type AND <tableName>.Code = qryIP.Code)
   Left Outer JOIN (SELECT Type, Count(WP) as WPCnt, Code
      FROM <tableName> 
      WHERE  WP > 0
     GROUP BY Type, Code) AS qryWP 
   ON <tableName>.Type = qryWP.Type AND <tableName>.Code = qryWP.Code


In either case you will need to replace <tableName> with the name of your table.

Have fun!


Thanks for this - I actually posted elsewhere as well and some one came back with this answer which worked perfectly.

SELECT type,
SUM(SIGN(FP)) AS FP,
SUM(SIGN(IP)) AS IP,
SUM(SIGN(WP)) AS WP,
code
FROM Table1
GROUP BY type,
code

Reply With Quote
Reply

Viewing: Dev Articles Community ForumsDatabasesGeneral SQL Development > Help constructing a query


Thread Tools  Search this Thread 
Search this Thread:

Advanced Search
Display Modes  Rate This Thread 
Rate This Thread:


Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

vB code is On
Smilies are On
[IMG] code is On
HTML code is Off
View Your Warnings | New Posts | Latest News | Latest Threads | Shoutbox
Forum Jump




 Free IT White Papers!
 
How to Present Effectively Online
This white paper offers practical and actionable advice on the key steps that any presenter should consider as they plan and execute a Webinar or online meeting.

Request Your Free Technology Downloads!
 
Open Source Security Myths
Open Source Software (OSS) is computer software whose source code is available to the general public with relaxed or non-existent intellectual property restrictions (or arrangement such as the public domain), and is usually developed with the input of many contributors.

Request Your Free Technology Downloads!
 
Power and Cooling Capacity Management for Data Centers
This paper describes the principles for achieving power and cooling capacity management.

Request Your Free Technology Downloads!
 
Scalable, Fault-Tolerant NAS for Oracle - The Next Generation
For several years NAS has been evolving as a storage alternative for Oracle databases, and for good reason: NAS is quite often the simplest, most cost-effective storage approach for Oracle. Learn about the benefits that HP's approach to scalable NAS brings to Oracle environments in this comprehensive white paper.

Request Your Free Technology Downloads!
 
Understanding Web Application Security Challenges
This white paper discusses many common threats and preventive measures for Web application security, and explains what you can do to help protect your organization.

Request Your Free Technology Downloads!
 

Forums: » Register « |  User CP |  Games |  Calendar |  Members |  FAQs |  Sitemap |  Support | 
  
 




© 2003-2009 by Developer Shed. All rights reserved. DS Cluster 6 Hosted by Hostway
For more Enterprise Application Development news, visit eWeek