CASE Function

The CASE function allows you to perform multiple conditional tests on a set of expressions within a single statement. When a test evaluates to true, a corresponding output is generated. Outputs may be a literal or expression.For more information on the IF function, see IF Function.

Basic Usage


derive value:CASE([ Qty <= 10, 'low_qty', Qty >=100, 'high_qty', 'med_qty']) as:'Qty_Eval'

Output: Generates a new Qty_Eval column, in each row contains a text string based on the evaluation of the Qty column:


In the following, If the testX expression evaluates to true, then the resultX value is the output.

  • Test expressions are evaluated in the listed order.
  • Text expressions and results are paired values in an array.
  • You must include one or more test expressions.
  • Each test must include a result expression. Result expression can be a literal value or an expression that evaluates to a value of a supported data type.
  • If a quoted value is included as a test expression, it is evaluated as the value to write for all values that have not yet matched a test (else expression).
CASE([test1, 'result1',test2, 'result2', testn, 'resultn','result_else'])
ArgumentRequired?Data TypeDescription
test1, test2, testnYexpressionExpression that is evaluated. Must resolve to true or false
result1, result2, result2, result_elseYstringQuoted string that is written if the corresponding test expression evaluates to true.

All of these expressions can be constants (strings, integers, or any other supported literal values) or sophisticated elements of logic, although the test expression must evaluate to a Boolean value.

For more information on syntax standards, see Language Documentation Syntax Notes.

test1, test2, testn

These parameters contain the expressions to evaluate. This expression must resolve to a Boolean (true or false) value.

NOTE: The syntax of a test expression follows the same syntax as the IF function. For example, you must use the double-equals signs to compare values (status == 'Ok').

Usage Notes:

Required?Data TypeExample Value
YesExpression that evaluates to true or false(OrderAge > 90)

result1, result2, result2, result_else

If the corresponding test expression evaluates to true, this value is written as the result.

These expressions can literals of any data type or expressions that evaluate to literals of any data type.

Usage Notes:

Required?Data TypeExample Value
YesLiteral value or expression

See examples below.


Example - Basic Usage

The following data represents orders received during the week. Discounts are applied to the orders based on the following rules:

  • The standard discount is 5%.
  • If an order is for fewer less than 10 units, then the discount is reduced by 5%.
  • If an order is for more than 20 units, then the discount is increased by 5%.
  • The special Friday discount is 2% more than the standard discount.


To determine the day of the week, you can use the following transform:

derive value:WEEKDAY(Date)

You can build the discount rules into the following transform, which generates the Disc column:

derive value:CASE([Qty<10, Std_Disc - 0.05, Qty>=20, Std_Disc + 0.05, weekday_Date == 5, Std_Disc + 0.02, Std_Disc]) as:'Disc'



Was this page helpful? Let us know how we did:

Send feedback about...

Google Cloud Dataprep Documentation