Cache files in informatica

December 22, Show all. Types of Lookup Caches in Informatica. Difference between a Mapplet and a Reusable Transformation?

Read more. Informatica Power Center v If the input row out-ranks a stored row, the Informatica Server replaces the stored row with the input row. Joiner Cache: When the Informatica Server runs a session with a Joiner transformation, it reads all the rows from the master source and builds memory caches based on the master rows.

After building these caches, the Informatica Server reads rows from the detail source and performs the joins. The Informatica Server creates the index cache as it reads the master source into the data cache.

The Informatica Server uses the index cache to test the join condition. When it finds a match, it retrieves row values from the data cache. To increase join performance, the Informatica Server aligns all data for joiner caches on an eight byte boundary.

Lookup Cache: The Informatica Server builds a cache in memory when it processes the first row of data in a cached Lookup transformation. It allocates memory for the cache based on the amount you configure in the transformation or session properties.

The Informatica Server stores condition values in the index cache and output values in the data cache. The Informatica Server queries the cache for each row that enters the transformation. What is meant by Incremental Aggregation where it can be used? Incremental Aggregation is used to improve session performance It is used only if source changes incrementally between sessions, and capture those incremental changes.

Wonderful answers. Really a very good website for reference. Keep up the good work. Thanks for such a clear explanation. Copyright - mkashu. Types of caches in informatica? Share this:. Like this: Like Loading How the Informatica Server reads parameter file?

Leave a Reply Cancel reply Enter your comment here Fill in your details below or click an icon to log in:. Email required Address never made public. Name required. Table of Contents Search. No Results. Analyze Caching Performance Step 4. Configure the Function Step 2. Create and Validate the Expression Step 3. Back Next. Cache Files. When you run a mapping, the Data Integration Service creates at least one cache file for each Aggregator, Joiner, Lookup, Rank, and Sorter transformation.

If the Data Integration Service cannot run a transformation in memory, it writes the overflow data to the cache files. The following table describes the types of cache files that the Data Integration Service creates for different mapping objects:.