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Sparse Columns


Sparse Columns

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Saurabh Dwivedy
Saurabh Dwivedy
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Comments posted to this topic are about the item Sparse Columns

Saurabh Dwivedy
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For better, quicker answers, click on the following...
http://www.sqlservercentral.com/articles/Best+Practices/61537

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bitbucket-25253
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Good question .... learned something from it ...

Thanks

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SQLRNNR
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Thanks Saurabh, I learned something about sparse columns today.



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jshailendra
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Good question....learnt from it...tnx
keyur.patel
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I can get clear idea for this.

Thanks,
Keyur Patel
Stewart "Arturius" Campbell
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Nice question about a seldom-used part of SQL Server.
Learned something new myself.

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ziangij
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sorry for sounding stupid, but has anybody implemented sparse in his/her code ?

what was the reasoning behind.. is it really worth ?
Cliff Jones
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This is good information. Thanks for the question.
Jamie-2229
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Guess I am a bit confused by the question
A sparse column must be nullable and cannot have the ROWGUIDCOL or IDENTITY properties. A sparse column cannot be of the following data types: text, ntext, image, timestamp, user-defined data type, geometry, or geography; or have the FILESTREAM attribute.


I'm not sure how something is "defined on them", it may have had a meaning different than the one I read into it. It is clear that a Sparse Column cannot have a Filestream attribute.

There have been times in the past when my sparse sql skills prompted me to look at a Union statement when trying to compare two values that would have best been seen in a left join. The sparse column would have come in handy. It is a good topic. I wonder if we can just reword it slightly... maybe "Can a sparse column have a FileStream Attibute?"

Jamie
Oleg Netchaev
Oleg Netchaev
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ziangij (3/5/2010)
sorry for sounding stupid, but has anybody implemented sparse in his/her code ?

what was the reasoning behind.. is it really worth ?

Implementation of the sparse column makes sense only if the data in the column is, well, sparse. This is because it takes more space to store not null values in the sparse columns. For example, character types, such as char and varchar need twice as many bytes to store not null data if the column is defined as sparse. For those types only if 60% or more of all records are nulls then it makes sense to define the respective columns as sparse. For example, many databases storing consumer/customer/person records might end up having a column storing data for so-called address line 2 which will not have any data in the majority of records, which makes such column a good candidate to be defined as sparse.

Oleg
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