What is a lookup transformation?

Lookup transformation is used to look up a source, source qualifier, or target to get the relevant data. The Lookup transformation is used to retrieve data based on a specified lookup condition. For example, we can use a Lookup transformation to retrieve values from a database table for codes used in source data.

Which transformation is both active and passive?

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.

Which lookup configuration can be set to make it active?

How to Configure Active LookUp. Just like any other transformation start creating the transformation. Choose the LookUp Table from the popup window and select ‘Return All Values on Multiple Match’. This property will set the lookup as active lookup transformation.

What are the types of lookup transformation?

Types of Lookup Transformations

• Connected or Unconnected: They differ in the way output is received.
• Lookup via Flat File or Relational: After creating Lookup Transformation we can lookup either on a Flat file or on relational tables.
• Cached or Uncached :

Why do we use lookup transformation?

Use a Lookup transformation to retrieve data based on a specified lookup condition. For example, you can use a Lookup transformation to retrieve values from a database table for codes used in source data.

Which is faster lookup or joiner?

In case of Flat file, generally, sorted joiner is more effective than lookup, because sorted joiner uses join conditions and caches less rows. In case of database, lookup can be effective if the database can return sorted data fast and the amount of data is small, because lookup can create whole cache in memory.

Is router transformation active or passive?

The Router transformation is an active transformation that you can use to apply a condition to incoming data. passes the row multiple times. You can either drop rows that do not meet any of the conditions or route those rows to a default output group.

Is Union transformation active or passive?

The Union transformation is an active transformation that you use to merge data from multiple pipelines into a single pipeline. For data integration patterns, it is common to combine two or more data sources into a single stream that includes the union of all rows.

What is the purpose of the Lookup transformation?

Lookup transformation is a passive transformation used to look up a source, source qualifier, or target to get the relevant data. Basically, it’s a kind of join operation in which one of the joining tables is the source data, and the other joining table is the lookup table.

Which join is used in lookup transformation?

left-outer join
The default join type of lookup transformation is left-outer join in informatica..

What is cache in lookup transformation?

For Shared Cache Informatica server creates the cache memory for multiple lookup transformations in the mapping and once the lookup is done for the first lookup then memory is released and that memory is used by the other look up transformation….Types of Lookup Caches in Informatica.

What is L and R in lookup transformation?

For unconnected lookups, we must select a lookup port as a return port (R) to pass a return value. Return Port: An unconnected Lookup transformation has one return port that returns one column of data to the calling transformation through this port.

Is the lookup transformation passive or active in Java?

This is the passive transformation which allows performing the lookup on the flat files, relational table, views, and synonyms. When we configure the Lookup transformation to return multiple rows, the Lookup transformation is an active transformation. The lookup transformation supports horizontal merging, such as equijoin and nonequijoin.

How is lookup acting as both active and passive?

In Informatica 9.1 Lookup is active because of property – “Lookup policy on multiple match”, this can be chosen as first, last, any value or all values. So now we can configure the Lookup transformation to return all rows that match a lookup condition.

What is the need for active lookup transformation in Informatica?

What are the scenarios which led the need for Active lookup Transformation in Informatica. Earlier Lookup transformation was passive but now it’s active and can Return All Values on Multiple Match. Could you please explain any such scenario which depicts the usage of Active Lookup transformation using Informatica mapping?

Which is the result of the lookup transformation?

The Lookup transformation returns the result of the lookup to the target or another transformation. We can configure the Lookup transformation to return a single row or multiple rows. This is the passive transformation which allows performing the lookup on the flat files, relational table, views, and synonyms.