What is lookup transformation Informatica?

The Lookup transformation returns the result of the lookup to the target or another transformation. You can configure the Lookup transformation to return a single row or multiple rows. When you configure the Lookup transformation to return a single row, the Lookup transformation is a passive transformation.

What are the types of lookup transformation?

Table of Contents

• Active Transformations.
• Passive Transformations.
• Unconnected Transformations.
• Native and Non-native Transformations.
• Transformation Descriptions.

What are the types of lookups in Informatica?

Types of Lookup Caches in Informatica

• Static cache: Static Cache is same as a Cached Lookup in which once a Cache is created and the Integration Service always queries the Cache instead of the Lookup Table.
• Dynamic cache:
• Shared cache:
• Persistent cache:
• Re-cache from database.

Why lookup is passive transformation in Informatica?

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.

What is 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 is meant by lookup table?

In computer science, a lookup table is an array that replaces runtime computation with a simpler array indexing operation. The savings in terms of processing time can be significant, since retrieving a value from memory is often faster than undergoing an ‘expensive’ computation or input/output operation.

What are the two types of lookups?

There are two forms of Lookup: Vector and Array. The vector form of the LOOKUP function will search one row or one column of data for a specified value and then get the data from the same position in another row or column.

What is lookup in ETL?

Lookup basics One of the common ETL operations, typically performed to calculate a field’s value, is a lookup . Given the list of input parameters, the system should be able to return a field’s value or the entire dataset, by querying a database or other data source.

Why UnConnected lookup is not dynamic?

Unconnected lookup cannot insert values into lookup cache file as it is not possible to find out from which part of the mapping flow and the transformation that is called from and how many number of times that is called. …

Which is better lookup or joiner in Informatica?

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.

Which is faster join or lookup?

Sometimes joiner gives more performance and sometimes lookups. In case of Flat file, generally, sorted joiner is more effective than lookup, because sorted joiner uses join conditions and caches less rows. Lookup caches always whole file.