How does Joiner cache work in Informatica?
The Integration Service uses cache memory to process Joiner transformations. When you run a session, the Integration Service reads rows from the master and detail sources concurrently and builds index and data caches based on the master rows.
Which transformation has cache in Informatica?
When you run a mapping that uses an Aggregator, Joiner, Lookup, Rank, or Sorter transformation, the Data Integration Service creates caches in memory to process the transformation. If the Data Integration Service requires more space, it stores overflow values in cache files on disk.
What are the two types of caches associated with a joiner transformation?
Caches in JTR are 2. 1) Data Cache: It stores master source rows OS source table as configured in join condition. 2) Index Cache: It stores index values for master.
What is Joiner transformation explain with example?
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 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.
Why cache is used in Informatica?
When a lookup is cached: Informatica queries the database, brings the whole set of rows to the Informatica server and stores in a cache file. When this lookup is called next time, Informatica uses the file cached. As a result, Informatica saves the time and the resources to hit the database again.
How many types of cache are there in Informatica?
Types of Lookup Caches in Informatica
| Lookup Caches in Informatica | Static cache |
|---|---|
| Dynamic cache | |
| Shared cache | |
| Persistent cache |
How can we improve the performance of joiner transformation in Informatica?
The Data Integration Service increases performance by minimizing disk input and disk output. The greatest performance increase occurs when you work with large data sets. For an unsorted Joiner transformation, designate the source with fewer rows as the master source. Optimize the join condition.
What is Informatica Joiner?
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.
How many joiners are there in Informatica?
There are four types of Joins in Informatica, and they Inner Join (Normal Join), Master Outer Join, Detail Outer Join and Full Outer Join. Joiner Transformation in Informatica is very useful to load data into the Dimension tables in Data Warehouse.