For example, if the column datatype is numeric, you can define generation values that are within a fixed range or values in a sequence. You can select an additional rule to create values that are not valid values within the data set.

The following table describes the generation techniques that you can choose when you define a rule:

Generation Technique	Description
Custom	A technique that applies generation rules from a mapplet. The custom mapplet accepts input and uses the logic in the mapplet to generate the output.
Advanced	A combination of generation techniques that generates test data in target columns based on the configuration of one or more than one input port, variable port, and output port.
Dictionary	Standard technique that imports dictionary values to generate data.
Effective Dates	Ad hoc technique that generates related dates for two columns in the target database.
Expression	Ad hoc technique that accepts expression as the input to generate the output.
Random	Standard technique that generates random strings, values, and dates.
Credit Card	Standard technique that generates credit card numbers based on the type of the card.
Reference Lookup	Ad hoc technique that generates data from a reference lookup table. You can have multiple column assignments within a reference lookup rule.
Sequence	Standard technique that generates numeric and date values in a sequence.
Set of Values	Standard technique that uses a finite set of values to use in data generation.
Conditional	Ad hoc rule in which you can specify a conditional expression and a generation rule to generate test data.