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 Categorising Data

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token
Posting Yak Master

133 Posts

Posted - 2013-07-06 : 16:41:49
I have a list of names (e.g. company names), and want to display this as a directory/list on a webpage.

I'd like for users to be able to search by alphabetical letter. So if they click on 'M' then it will show names that begin with M.

However not all companies that should be in the 'M' category will start with the letter M e.g. University of Michigan. So using
WHERE Name LIKE 'M%'
will not work here.

Theoretically, what would be the best way to go about categorising data in this way? Is there a better way than adding a column in the table and manually assign a letter to each company name?

bitsmed
Aged Yak Warrior

545 Posts

Posted - 2013-07-06 : 19:52:33
how about: where name like 'M%' or name like ' M%'?
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visakh16
Very Important crosS Applying yaK Herder

52326 Posts

Posted - 2013-07-07 : 10:35:34

the way you explain I think what you want is something like

WHERE ' ' + Name like '% M%'


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MuMu88
Aged Yak Warrior

549 Posts

Posted - 2013-07-07 : 10:55:40
With a minor modification bitsmed's code works and is more comprehensible
quote:
Originally posted by bitsmed

how about: where name like 'M%' or name like '% M%'?

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visakh16
Very Important crosS Applying yaK Herder

52326 Posts

Posted - 2013-07-07 : 11:48:59
quote:
Originally posted by MuMu88

With a minor modification bitsmed's code works and is more comprehensible
quote:
Originally posted by bitsmed

how about: where name like 'M%' or name like '% M%'?




I've covered both scenario using single condition

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MuMu88
Aged Yak Warrior

549 Posts

Posted - 2013-07-07 : 12:55:12
Your solution might be more elegant and concise but the other one seems more understandable and hence cost effective from a maintainability perspective.

quote:
Originally posted by visakh16

quote:
Originally posted by MuMu88

With a minor modification bitsmed's code works and is more comprehensible
quote:
Originally posted by bitsmed

how about: where name like 'M%' or name like '% M%'?




I've covered both scenario using single condition

------------------------------------------------------------------------------------------------------
SQL Server MVP
http://visakhm.blogspot.com/
https://www.facebook.com/VmBlogs


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visakh16
Very Important crosS Applying yaK Herder

52326 Posts

Posted - 2013-07-07 : 13:02:39
quote:
Originally posted by MuMu88

Your solution might be more elegant and concise but the other one seems more understandable and hence cost effective from a maintainability perspective.

quote:
Originally posted by visakh16

quote:
Originally posted by MuMu88

With a minor modification bitsmed's code works and is more comprehensible
quote:
Originally posted by bitsmed

how about: where name like 'M%' or name like '% M%'?




I've covered both scenario using single condition

------------------------------------------------------------------------------------------------------
SQL Server MVP
http://visakhm.blogspot.com/
https://www.facebook.com/VmBlogs





hmm...its very much similar to posted solution with just a small minor modification.
Didnt get how it will make so difficult for someone to understand?
I dont think it will do much change in maintainability aspect either!

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token
Posting Yak Master

133 Posts

Posted - 2013-07-10 : 18:45:28
Thank you for the solution, I tried many variations but it didn't quite work how I wanted. In the end I had to manually create a new column and assign letters to names to categorise them :(
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visakh16
Very Important crosS Applying yaK Herder

52326 Posts

Posted - 2013-07-11 : 01:42:38
quote:
Originally posted by token

Thank you for the solution, I tried many variations but it didn't quite work how I wanted. In the end I had to manually create a new column and assign letters to names to categorise them :(


OK..Glad that you got it sorted out
You may post solution if you feel others will benefit out of it.

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http://visakhm.blogspot.com/
https://www.facebook.com/VmBlogs
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