Printed 2017/01/21 02:49AM

T-SQL: CASE Statement

By Jen McCown, 2010/12/28

This is a companion piece to the MidnightDBA video T-SQL: CASE Statement.

In short, a CASE statement is a simplified set of IF statements. Instead of using several IF statements, you can have a single statement that evaluates several criteria against a piece of data. 

Simple CASE

Let’s take a simple example. We want to return the word “one” if @x = 1. First let’s do this with IF statements:

DECLARE @x tinyint = 1
IF @x = 2 SELECT 'Two'
  ELSE IF @x = 1 SELECT 'One'
    ELSE IF @x = 0 SELECT 'Zero'
      ELSE SELECT 'Other'

And now the same thing, with a CASE statement:

DECLARE @x tinyint = 1
  WHEN 2 THEN 'Two'
  WHEN 1 THEN 'One'
  WHEN 0 THEN 'Zero'
END AS number

This doesn’t look like that big of a deal. With IF, we have to write a few more characters, that’s all. But this is our simple example. Now let’s do the same thing with the ContactIDs of a few rows in AdventureWorks:

  , 'Two' AS number
FROM Person.Contact WHERE ContactID < 10 AND ContactID = 2
  , 'One' AS number
FROM Person.Contact WHERE ContactID < 10 AND ContactID = 1
  , 'Zero' AS number
FROM Person.Contact WHERE ContactID < 10 AND ContactID = 0
  , 'Other' AS number
FROM Person.Contact WHERE ContactID < 10 AND ContactID NOT IN (0, 1, 2)

And now using CASE:

  , CASE ContactID
    WHEN 2 THEN 'Two'
    WHEN 1 THEN 'One'
    WHEN 0 THEN 'Zero'
    ELSE 'Other'
  END AS number
FROM Person.Contact WHERE ContactID < 10

The CASE statement is more compact and easier to use, yes. But it also performs better here: we’re making one call to the Contact table with CASE, as opposed to the four calls we had to make with IF.

Note that this last example has an ELSE statement after all the WHENs. ELSE is not required, but you wind up using it often. Use ELSE for the case where all of your WHEN statements evaluate false.

The simple CASE demonstrated above has limitations: You can only compare a single parameter – in this case, ContactID – for equality against a number of values.  This means that all of these WHEN clauses are invalid:

SELECT MiddleName
  , CASE MiddleName
    WHEN NULL THEN 'Unknown'          -- Ineffectual. NULL can't be = NULL.
    WHEN LIKE 'R%' THEN 'R-something' -- Syntax error. You can't use = LIKE [value].
    WHEN < 'B' THEN '"A" name'        -- Syntax error. You can't use = < [value].
  END AS Middle
FROM Person.Contact WHERE ContactID < 10

Searched Case

For greater flexibility, we have the searched case. Here’s an easy example:

DECLARE @x tinyint = 1
  , @y varchar(10) = 'Howdy!'
  , @z bit

    WHEN @x > 2 THEN 'x is greater than 2. This is false.'
    WHEN LEN(@y) = 10 THEN 'y is 10 characters long. This is false.'
    WHEN @z IS NULL AND @y LIKE 'H%' THEN 'Z is null! Y starts with the letter "H"! This is true!'
    ELSE 'Apparently we don''t know what''s happening.'
  END AS statement

Each WHEN statement is independent; it can make whatever evaluations we want (e.g., =, <, >, IS NULL, IS NOT NULL, LIKE, and so on) on any available values. The first true WHEN statement is the one that returns a value; all others are ignored. The example above returns “Z is null! Y starts with the letter “H”! This is true!”

So let’s say we’re dividing up the customer list between a few employees…we want to contact everybody about a big new promotion.  We’re prefer to email those with non-U.S. phone numbers (if they have an email listed), and divide the rest up between two interns:

SELECT LastName + ', ' + FirstName ContactName
   , Phone
   , EmailAddress
   , CASE
       WHEN Phone LIKE '1 (11)%' AND EmailAddress IS NOT NULL THEN 'Email'
       WHEN Phone LIKE '1 (11)%' THEN 'Foreign Call Group'
       WHEN Phone < '500' THEN 'Call Group 1'
       WHEN Phone >= '500' THEN 'Call Group 2'
     END AS Call_Group
FROM Person.Contact
ORDER BY Call_Group, ContactName

The first WHEN statement checks for international phone number and non-NULL email address. If this statement is false, SQL evaluates the next WHEN statement, and so on. In this way, each row is given the correct grouping value, and our resultset looks something like this:

ContactName Phone EmailAddress Call_Group
Abercrombie, Kim 334-555-0137 Call Group 1
Achong, Gustavo 398-555-0132 Call Group 1
Adams, Carla 107-555-0138 Call Group 1
Adams, Jay 158-555-0142 Call Group 1
Abel, Catherine 747-555-0171 Call Group 2
Acevedo, Humberto 599-555-0127 Call Group 2
Adams, Frances 991-555-0183 Call Group 2
Agcaoili, Samuel 554-555-0110 Call Group 2
Ahlering, Robert 678-555-0175 Call Group 2
Alberts, Amy 727-555-0115 Call Group 2
Ferrier, François 571-555-0128 franç Call Group 2
Smith, Margaret 959-555-0151 Call Group 2
Ackerman, Pilar 1 (11) 500 555-0132 Email
Aguilar, James 1 (11) 500 555-0198 Email

Note that – much like a subquery – CASE is not limited to the column list of the SELECT statement. You can use a CASE statement in the WHERE and JOIN…ON clauses. Generally speaking, though, it’s much easier, readable, and more performant to stick to AND/OR syntax in those cases.

Mini Cheat Sheet (straight outta BOL)

Simple CASE function: 
CASE input_expression 
     WHEN when_expression THEN result_expression 
    [ ...n ]
    ELSE else_result_expression 
Searched CASE function:
     WHEN Boolean_expression THEN result_expression 
    [ ...n ]
    ELSE else_result_expression 


Happy days,
Jen McCown

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