Filter Transformation in Informatica IICS – IDMC

Last Updated: 02 November 2023

By: Nataraj Virupaksham (Raj)

Filter transformation is an active and connected transformation in Informatica Cloud IDMC. It is used to filter data out of the data flow based on a specified filter condition.

  • ▹ The filter condition defined in the filter transformation is an expression that returns either TRUE or FALSE.
  • ▹ The default return value from filter transformation is TRUE.
  • ▹ You can define filter condition as FALSE which acts as a logical stop of the flow of the mapping as no records will be passed further.
  • ▹ In Filter transformation, filter conditions can be defined in three different types Simple, Advanced, Completely Parameterized.

Simple Filter Condition:

  • ▹ You can create one or more simple filter conditions. A simple filter condition includes a field name, operator, and value.
  • ▹ When you define more than one simple filter condition, the mapping task evaluates the conditions in the order that you specify using the AND logical operator.
  • ▹ In the below example, the filter condition will be treated as LOCATION_ID > 10 and CITY = ‘Bangalore’

Advanced Filter Condition:

  • ▹ You can use an Advanced filter condition to define a complex filter condition.
  • ▹ When you configure an advanced filter condition, you can incorporate multiple conditions using the AND or OR logical operators.
  • ▹ When you change the filter condition type from simple to advanced, the Mapping Designer automatically converts the simple filter conditions to the advanced filter condition.

Few Examples of Filter Conditions:

  • ▹ SALARY > 30000
  • ▹ SALARY > 30000 AND SALARY < 100000
  • ▹ To filter rows containing null values or spaces, use the ISNULL and IS_SPACES functions to test the value of the port. For example, if you want to filter out rows that contain NULL value in the FIRST_NAME port, use the following condition:
  • ▹ IIF(ISNULL(FIRST_NAME), FALSE, TRUE) This condition states that if the FIRST_NAME port is NULL, the return value is FALSE and the row should be discarded. Otherwise, the row passes through to the next transformation Filter Transformation Examples
  • ▹ The numeric equivalent of TRUE is ANY NON-ZERO value. Pass through the transformation.
  • ▹ TRUE can also be written as any non-zero value (1,2,9,99,999 …).
  • ▹ The numeric equivalent of FALSE is zero (0) Drop all the records
  • ▹ DEPARTMENT_ID! = 100

Comments (1)

  1. good understanding sir

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