What is filter transformation in Informatica?

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 a Filter transformation?

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.

What is the difference between Filter and router transformation in Informatica?

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.

How many types of transformations are there in Informatica?

There are two types of transformations in Informatica that are active and passive.

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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 are active transformation in Informatica?

An active transformation can change the number of rows that pass through the transformation. 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.

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 rank transformation is active in Informatica?

Rank transformation is an active transformation, as it affects the number of output rows. The rank transformation has an output port by which it assigns a rank to the rows. Our requirement is to load top 3 salaried employees for each department; we will implement this using rank transformation.

What is the difference between source qualifier and filter transformation?

Source Qualifier reduces the number of rows used throughout the mapping and hence it provides better performance. The filter condition in the Source Qualifier transformation only uses standard SQL as it runs in the database. Filter transformation filters rows coming from any type of source system in the map-ping level.

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What is the difference between Joiner and lookup transformation in Informatica?

A joiner is used to join data from different sources. lookup is used to get related values from another table or check for updates etc in the target table.

What are the unconnected transformations in Informatica?

A transformation which is not part of mapping data flow direction is known as unconnected transformations. It is nether connected to source nor connected to the target. An unconnected transformation can receive the multiple input ports, but provides “single output port”.