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What does Joiner transformation do in Informatica?
The Joiner transformation can join data from two related heterogeneous sources. For example, you can use the Joiner transformation to join account information from flat files with data from the Salesforce Account object. The Joiner transformation joins data based on the join conditions and the join type.
What is the difference between source qualifier and joiner transformation?
While joining two relational tables using a source qualifier, the tables should exist in the same source connection. However, with a Joiner transformation you can join two relational tables from different source connections.
Why Joiner transformation is active?
The Joiner transformation is an Active and Connected Informatica transformation used to join two heterogeneous sources. The joiner transformation joins sources based on a specified condition that matches one or more pairs of columns between the two sources.
What are limitations of Joiner transformation?
Limitations of Joiner Transformation
- We cannot use joiner transformation when the input pipeline contains an update strategy transformation.
- We cannot connect a sequence generator transformation directly to the joiner transformation.
What is master and detail in Joiner transformation?
In the properties of joiner transformation, you can select which data source can be Master and which source can be detail source. During execution, the master source is cached into the memory for joining purpose. So it is recommended to select the source with less number of records as the master source.
What is Joiner transformation?
Joiner transformation is an active and connected transformation. It provides the option of creating joins in the Informatica. By using the joiner transformation, the created joins are similar to the joins in databases. The joiner transformation is used to join two heterogeneous sources.
What is Lookup transformation in 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 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 limitations of the joiner transformation?
Can we connect 2 active transformations in Informatica?
You cannot connect multiple active transformations or an active and a passive transformation to the same downstream transformation or transformation input group. cannot combine the rows from the Expression transformation with the different number of rows from the Aggregator transformation.
How can joiner transformation improve performance?
Use the following tips to improve session performance with the Joiner transformation:
- Designate the master source as the source with fewer duplicate key values.
- Designate the master source as the source with fewer rows.
- Perform joins in a database when possible.
- Join sorted data when possible.
How is a joiner transformation used in Informatica?
A Joiner is an Active and Connected transformation used to join two source data streams coming from same or heterogeneous databases or files. The Joiner transformation joins sources with at least one matching column. The Joiner transformation uses a condition that matches one or more pairs of columns between the two sources.
How are joins created in joiner transformation similar to databases?
The joins created using joiner transformation are similar to the joins in databases. The advantage of joiner transformation is that joins can be created for heterogeneous systems (different databases). In joiner transformation, there are two sources which we are going to use it for joins. These two sources are called
How to change join conditions in Informatica gateway?
Double click on the Informatica Joiner transformation to configure the Join conditions. From the below screenshot you can see the list of available properties in the Transformation tab: Select Transformation: By default, it will select the transformation you clicked on.
How to improve the performance of the joiner transformation?
You can improve the performance by using the sorted input option as the integration service performs the join by minimizing the number of disk IOs. you can see good performance when worked with large data sets. Sort the master and detail source either by using the source qualifier transformation or sorter transformation.