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SQL | Table-valued functions exercise | Create a function to list episodes for a given series and author
This exercise is provided to allow potential course delegates to choose the correct Wise Owl Microsoft training course, and may not be reproduced in whole or in part in any format without the prior written consent of Wise Owl.
You can learn how to do this exercise if you attend one of more of the courses listed below!
Software ==> | SQL (198 exercises) |
Version ==> | Any version of SQL Server |
Topic ==> | Table-valued functions (6 exercises) |
Level ==> | Average difficulty |
Courses ==> | Fast-track SQL / Advanced SQL |
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First (if you haven't already done so) run the script shown above to generate the Doctor Who training database.
Create a function to list out the episodes for any given series number and part of an author name. This could begin:
CREATE FUNCTION fnChosenEpisodes(
@SeriesNumber int,
@AuthorName varchar(100)
)
RETURNS TABLE
AS
For example, you could run this SQL query:
SELECT * FROM dbo.fnChosenEpisodes(1,'russell')
This would show the 9 series one episodes written by Russell T. Davies:

The first 2 or 3 of the 9 episodes in series 1 written by Russell T. Davies
Functions can't have optional parameters, but you can pass dummy values and detect them. Amend your function so that it shows:
- Episodes for any series if you pass the first argument as Null;
- Episodes for any author if you pass the second argument as Null.
To help you know whether you've succeeded, here's what 4 possible combinations should show:
-- there is 1 episode written by Steven Moffat for series 2
SELECT COUNT(*) FROM dbo.fnChosenEpisodes(2,'moffat')
-- -- there are 14 episodes in series 2 (for any author)
SELECT COUNT(*) FROM dbo.fnChosenEpisodes(2,null)
-- there are 32 episodes written by Steven Moffat (for any series)
SELECT COUNT(*) FROM dbo.fnChosenEpisodes(null,'moffat')
-- there are 117 episodes (any series, any author)
SELECT COUNT(*) FROM dbo.fnChosenEpisodes(null,null)
Optionally, save your query as Series and author.sql, then close it down.