The following are some common questions relating to Informatica Designer.
Q. How to execute PL/SQL script from Informatica mapping?
Q. How can you define a transformation? What are different types of transformations available in Informatica?
Q. What is a source qualifier? What is meant by Query Override?
Q. What is aggregator transformation?
Q. What is Incremental Aggregation?
Q. How Union Transformation is used?
Q. Can two flat files be joined with Joiner Transformation?
Q. What is a look up transformation?
Q. Can a lookup be done on Flat Files?
Q. What are Connected and Unconnected Lookups?
Q. What is a mapplet?
Q. What does reusable transformation mean?
Q. What is update strategy and what are the options for update strategy?
Q. How to execute PL/SQL script from Informatica mapping?
A. Stored Procedure (SP) transformation can be used to execute PL/SQL Scripts. In SP Transformation PL/SQL procedure name can be specified. Whenever the session is executed, the session will call the pl/sql procedure.
A. A transformation is a repository object that generates, modifies, or passes data. The Designer provides a set of transformations that perform specific functions. For example, an Aggregator transformation performs calculations on groups of data. Below are the various transformations available in Informatica:
- Aggregator
- Application Source Qualifier
- Custom
- Expression
- External Procedure
- Filter
- Input
- Joiner
- Lookup
- Normalizer
- Output
- Rank
- Router
- Sequence Generator
- Sorter
- Source Qualifier
- Stored Procedure
- Transaction Control
- Union
- Update Strategy
- XML Generator
- XML Parser
- XML Source Qualifier
Q. What is a source qualifier? What is meant by Query Override?
A. Source Qualifier represents the rows that the PowerCenter Server reads from a relational or flat file source when it runs a session. When a relational or a flat file source definition is added to a mapping, it is connected to a Source Qualifier transformation.
PowerCenter Server generates a query for each Source Qualifier Transformation whenever it runs the session. The default query is SELET statement containing all the source columns. Source Qualifier has capability to override this default query by changing the default settings of the transformation properties. The list of selected ports or the order they appear in the default query should not be changed in overridden query.
Q. What is aggregator transformation?
A. The Aggregator transformation allows performing aggregate calculations, such as averages and sums. Unlike Expression Transformation, the Aggregator transformation can only be used to perform calculations on groups. The Expression transformation permits calculations on a row-by-row basis only.
Aggregator Transformation contains group by ports that indicate how to group the data. While grouping the data, the aggregator transformation outputs the last row of each group unless otherwise specified in the transformation properties.
Various group by functions available in Informatica are : AVG, COUNT, FIRST, LAST, MAX, MEDIAN, MIN, PERCENTILE, STDDEV, SUM, VARIANCE.
Q. What is Incremental Aggregation?
A. Whenever a session is created for a mapping Aggregate Transformation, the session option for Incremental Aggregation can be enabled. When PowerCenter performs incremental aggregation, it passes new source data through the mapping and uses historical cache data to perform new aggregation calculations incrementally.
Q. How Union Transformation is used?
A. The union transformation is a multiple input group transformation that can be used to merge data from various sources (or pipelines). This transformation works just like UNION ALL statement in SQL, that is used to combine result set of two SELECT statements.
Q. Can two flat files be joined with Joiner Transformation?
A. Yes, joiner transformation can be used to join data from two flat file sources.
Q. What is a look up transformation?
A. This transformation is used to lookup data in a flat file or a relational table, view or synonym. It compares lookup transformation ports (input ports) to the source column values based on the lookup condition. Later returned values can be passed to other transformations.
Q. Can a lookup be done on Flat Files?
A. Yes.
Q. What is the difference between a connected look up and unconnected look up?
A. Connected lookup takes input values directly from other transformations in the pipleline.
Unconnected lookup doesn?t take inputs directly from any other transformation, but it can be used in any transformation (like expression) and can be invoked as a function using :LKP expression. So, an unconnected lookup can be called multiple times in a mapping.
A. A mapplet is a reusable object that is created using mapplet designer. The mapplet contains set of transformations and it allows us to reuse that transformation logic in multiple mappings.
Q. What does reusable transformation mean?
A. Reusable transformations can be used multiple times in a mapping. The reusable transformation is stored as a metadata separate from any other mapping that uses the transformation. Whenever any changes to a reusable transformation are made, all the mappings where the transformation is used will be invalidated.
Q. What is update strategy and what are the options for update strategy?
A. Informatica processes the source data row-by-row. By default every row is marked to be inserted in the target table. If the row has to be updated/inserted based on some logic Update Strategy transformation is used. The condition can be specified in Update Strategy to mark the processed row for update or insert.
Following options are available for update strategy :
- DD_INSERT : If this is used the Update Strategy flags the row for insertion. Equivalent numeric value of DD_INSERT is 0.
- DD_UPDATE : If this is used the Update Strategy flags the row for update. Equivalent numeric value of DD_UPDATE is 1.
- DD_DELETE : If this is used the Update Strategy flags the row for deletion. Equivalent numeric value of DD_DELETE is 2.
- DD_REJECT : If this is used the Update Strategy flags the row for rejection. Equivalent numeric value of DD_REJECT is 3.
