Pushdown optimization in Informatica is a performance tuning technique that aims to improve data processing speed by shifting transformation logic from the Informatica Integration Service to the source or target database. This leverages the database's processing power, reducing the load on the Informatica server and minimizing data movement.
Here's a breakdown :
Concept :
- Essentially, Informatica translates transformation logic into SQL statements and instructs the database to execute them.
- This reduces the amount of data that needs to be transferred between the database and the Informatica server, leading to faster processing.
Types of Pushdown Optimization :
Informatica typically supports these types :
- Source-side Pushdown Optimization:
- The Integration Service pushes as much transformation logic as possible to the source database.
- This is particularly effective for filtering and simple transformations.
- It reduces the volume of data extracted from the source.
- Target-side Pushdown Optimization:
- The Integration Service pushes transformation logic to the target database.
- This is useful for transformations that can be performed during the data loading process.
- It allows the target database to handle transformations like data aggregation or updates.
- Full Pushdown Optimization:
- The Integration Service attempts to push all transformation logic to the database.
- This is typically possible when the source and target databases are the same.
- It maximizes the use of the database's processing capabilities.
Key Benefits :
- Improved Performance: Significantly reduces processing time.
- Reduced Network Traffic: Minimizes data transfer between the Informatica server and databases.
- Lower Server Load: Frees up Informatica server resources for other tasks.
In essence, pushdown optimization is a valuable technique for maximizing the efficiency of your Informatica data integration processes.
