Informatica Reference

Dynamic Lookup Cache Example

Posted on: 12/16/2011

Use a dynamic lookup cache when you need to insert and update rows in the target. When you use a dynamic lookup cache, you can insert and update the cache with the same data you pass to the target to insert and update.

For example, you need to update a table that contains customer data. The source data contains rows of customer data to insert or update in the target. Create a dynamic cache that represents the target. Configure a Lookup transformation to lookup customers in the cache.

The following figure shows a mapping that has a dynamic cache:

Dynamic Lookup Cache Example

Dynamic Lookup Cache Example

The Lookup transformation uses a dynamic lookup cache. When the session starts, the Integration Service builds the lookup cache from a Customer_List table. The Customer_List table is also the target in the mapping. When the Integration Service reads a row that is not in the lookup cache, it inserts the row in the cache.

The Lookup transformation returns the row to a Router transformation. The Router transformation directs the row to the UPD_Insert_New or the UPD_Update_Existing transformation. The Update Strategy transformations mark the row as insert or update before passing it to the target.

The Customer_List table changes as the session runs. The Integration Service inserts new rows and updates existing rows in the lookup cache. The Integration Service keeps the lookup cache and Customer_List table synchronized.

To generate keys for the target, use Sequence-ID in the associated port. The sequence ID generates primary keys for new rows the Integration Service inserts into the target table.

You increase session performance when you use a dynamic lookup cache because you build the cache from the database once. You can continue to use the lookup cache even though the data in the target table changes.

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