Solved

Limitation of Fields in "Group By " clause

Posted on 1998-08-25
7
541 Views
Last Modified: 2006-11-17
I am having a query which consists of 40 fields from a
single table. I need to group on all the 40 fields in my
"SELECT" query. If I include all of them in my query,
in the "group by" clause, I get an error message which says,
"there is a limtation of only 16 fields in a "Group By" clause."

How will I include the rest of the fields in the "Group By"
clause ? Can I increase the limitations by setting options
(if any) in the client/server machine ?


Looking forward for a postive response and kind co-operation.
0
Comment
Question by:Favourites
[X]
Welcome to Experts Exchange

Add your voice to the tech community where 5M+ people just like you are talking about what matters.

  • Help others & share knowledge
  • Earn cash & points
  • Learn & ask questions
7 Comments
 
LVL 3

Expert Comment

by:sidcap
ID: 1089725
Try to include in the "Group By" clause only the fields that you  really need to group ( generally, as maximum they are about 4 ); for  the rests of the SELECT fields you must need to apply them some grouping function like MAX(field), MIN(field), LAST(field).

Hope  this help !
SIDCAP.
0
 

Expert Comment

by:shaloo
ID: 1089726
Favourites, enough of yuor 40 fields are text fields that you can concatinate them (creating temp expressions) resulting in less than 16 fields to GROUP BY on.  And no, I know of no way to increase the setting options
0
 

Author Comment

by:Favourites
ID: 1089727
Assume that I have 45 fields in a table.
I am forced to have 40 fields out of 45 in my GROUP BY clause.
which is also present in SELECT clause.

In this case, how will include them in my GROUP BY clause ?
Give me an illustration of the above case.


0
PeopleSoft Has Never Been Easier

PeopleSoft Adoption Made Smooth & Simple!

On-The-Job Training Is made Intuitive & Easy With WalkMe's On-Screen Guidance Tool.  Claim Your Free WalkMe Account Now

 
LVL 1

Accepted Solution

by:
snydero earned 10 total points
ID: 1089728
The answer is --> VIEWS!
Create several views of your 45 column table, each with a group by clause like this...
CREATE VIEW first_part AS SELECT
  col1,
  col2,
  ...
  col16
GROUP BY col1, col2,... col16
GO   -- <-- This GO must be here for the next line to work!!
CREATE VIEW second_part AS SELECT
  col17,...

Then select from you views.  You will also need to include the primary key of the 45 column table in each of the views so you can link all those views together in your final select.

0
 

Expert Comment

by:shaloo
ID: 1089729
Syndero,  JOINing several VIEWS with their own GROUP BY clauses will not give you the same result as doing GROUP BY on all those fields simulatneously.  Additionally, including the PRIMARY key in the VIEW will defeat the value of GROUP BY.

Favourites, if you have to see the fields AND group by them, then I think you are out of luck.  It just cannot be done by SQL.  You will have to create a temporary table and populate the values using multiple queries.  My suggestion above is only if you wanted GROUP BY but did not need to see them.
0
 

Author Comment

by:Favourites
ID: 1089730
I have tried and succedded in other way.
0
 

Author Comment

by:Favourites
ID: 1089731
I have tried and succedded in other way.
0

Featured Post

Revamp Your Training Process

Drastically shorten your training time with WalkMe's advanced online training solution that Guides your trainees to action.

Question has a verified solution.

If you are experiencing a similar issue, please ask a related question

Why is this different from all of the other step by step guides?  Because I make a living as a DBA and not as a writer and I lived through this experience. Defining the name: When I talk to people they say different names on this subject stuff l…
JSON is being used more and more, besides XML, and you surely wanted to parse the data out into SQL instead of doing it in some Javascript. The below function in SQL Server can do the job for you, returning a quick table with the parsed data.
Via a live example combined with referencing Books Online, show some of the information that can be extracted from the Catalog Views in SQL Server.
Viewers will learn how to use the INSERT statement to insert data into their tables. It will also introduce the NULL statement, to show them what happens when no value is giving for any given column.

623 members asked questions and received personalized solutions in the past 7 days.

Join the community of 500,000 technology professionals and ask your questions.

Join & Ask a Question