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The new Analytic functions in SQL Server 2012


The new Analytic functions in SQL Server 2012

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Jeff Moden
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Wonderful article, Wayne. The charts summarize a nicely laid out and well written article and make it real easy to get extra information. Thanks for taking the time to write a class article!

--Jeff Moden

RBAR is pronounced ree-bar and is a Modenism for Row-By-Agonizing-Row.
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Now if only we could get 2012 on our production boxes before 2020. So excited for SS2012

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Great article Wayne!
Thanks for sharing.

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Great article Wayne, thanks.


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I see first_value and last_value function, but do not see second or third value function!
How can I write for example second_value() function by using analytical window function?
WayneS
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zombieisdead2020 (1/29/2013)
I see first_value and last_value function, but do not see second or third value function!
How can I write for example second_value() function by using analytical window function?

You will probably have to revert to the ROW_NUMBER() function, then look for where ROW_NUMBER() = 2, 3, etc.

Wayne
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Wayne,

Excellent job.

Thomas

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I just read this article. Great work Wayne.

-- Alan Burstein



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Thanks Thomas and Alan!

Wayne
Microsoft Certified Master: SQL Server 2008
Author - SQL Server T-SQL Recipes
If you can't explain to another person how the code that you're copying from the internet works, then DON'T USE IT on a production system! After all, you will be the one supporting it!
Links: For better assistance in answering your questions, How to ask a question, Performance Problems, Common date/time routines,
CROSS-TABS and PIVOT tables Part 1 & Part 2, Using APPLY Part 1 & Part 2, Splitting Delimited Strings

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First of all Wayne, this is a great primer on using the new SQL 2012 analytic functions, and I know I for one will be referring folks to it if they have any questions.

RichB (1/19/2012)
Any idea what the performance of these things is like?


I can comment on using LAG (vs. LEAD) to calculate gaps. I did a recent test on a 1M row test harness (partitioned sets) and came up with the following results.


MEDIAN CPU (ms) Elapsed (ms)
SQL 2012 LEAD 1747 1740
SQL 2012 LAG 1357 1363



I am not sure why LAG works faster than LEAD but it seemed to be consistent. Neither of them is overall elapsed time winner compared to other solutions I've tried.


My mantra: No loops! No CURSORs! No RBAR! Hoo-uh!

My thought question: Have you ever been told that your query runs too fast?

My advice:
INDEXing a poor-performing query is like putting sugar on cat food. Yeah, it probably tastes better but are you sure you want to eat it?
The path of least resistance can be a slippery slope. Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place.


Need to UNPIVOT? Why not CROSS APPLY VALUES instead?
Since random numbers are too important to be left to chance, let's generate some!
Learn to understand recursive CTEs by example.
Splitting strings based on patterns can be fast!
My temporal SQL musings: Calendar Tables, an Easter SQL, Time Slots and Self-maintaining, Contiguous Effective Dates in Temporal Tables
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