Why Filter transformation is used in Informatica?
Use the Filter transformation to filter out rows in a mapping. As an active transformation, the Filter transformation may change the number of rows passed through it. The Filter transformation allows rows that meet the specified filter condition to pass through. It drops rows that do not meet the condition.
What is the difference between Filter and expression transformation in Informatica?
The only difference is, filter transformation drops the data that do not meet the condition whereas router has an option to capture the data that do not meet the condition. It is useful to test multiple conditions. It has input, output and default groups. … Connect a router transformation to expression.
Why Filter is an active transformation?
A transformation can be active or passive. … For example, the Filter transformation is active because it removes rows that do not meet the filter condition. A passive transformation does not change the number of rows that pass through the transformation.
What does Filter condition mean?
The filter condition is an expression that returns TRUE or FALSE. You can create one or more simple filter conditions. A simple filter condition includes a field name, operator, and value. For example, Sales > 0 retains rows where all sales values are greater than zero. Filter conditions are case sensitive.
Can we give multiple condition in filter transformation?
To allow multiple filter condition, the router transformation provides group option. For every filter condition, an output group is created in router transformation. You can connect different targets to these different groups.
What is filter transformation in Informatica?
The Filter transformation filters data out of the data flow based on a specified filter condition. To improve job performance, place the Filter transformation close to mapping sources to remove unnecessary data from the data flow. A filter condition is an expression that returns TRUE or FALSE.
How do you give filter condition in filter transformation?
In order to filter the records by an expression, filter Transformation requires some data. So, we have to connect the Source definition with the transformation using Autolink.. option (or select and Drag required fields). Double click on the Filter transformation to provide the filter condition.
What is the difference between router and filter transformation?
Router transformation provides us the facility to capture the rows of data that do not meet any of the conditions to a default output group. A Filter transformation tests data for one condition and drops the rows of data that do not meet the condition. … Filter is single input and single output group transformation.
Is filter transformation is case sensitive?
The filter condition is case sensitive. To maximize session performance, keep the Filter transformation as close as possible to the sources in the mapping. Rather than passing rows that you plan to discard through the mapping, you can filter out unwanted data early in the flow of data from sources to targets.
Why Union is active transformation in Informatica?
The Union transformation is an active transformation that you use to merge data from multiple pipelines into a single pipeline. … The Union transformation enables you to make the metadata of the streams alike so that you can combine the data sources in a single target.
What is normalizer transformation in Informatica?
The Normalizer transformation is an active transformation that transforms one incoming row into multiple output rows. … When the Normalizer transformation returns multiple rows from an incoming row, it returns duplicate data for single-occurring incoming columns.
What is rank transformation in Informatica?
Rank is an active and connected transformation that performs the filtering of data based on the group and ranks. In Informatica, it is used to select a bottom or top range of data. … While string value ports can be ranked, the Informatica Rank Transformation is used to rank numeric port values.