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Defining Map Groups and Map Group Chunking Criteria

This section discusses how to:

You can configure the data transformation process to run on maps as a group. A map group may contain map groups within the main map group, as well as one or more individual maps. Map groups are submitted as a job unit and can run either in serial or parallel mode. To optimize performance by processing data more efficiently, you can define chunking criteria on the Map Group Filter page.

Pages Used to Define Map Groups and Chunking Criteria

Page Name

Definition Name

Navigation

Usage

Map Groups

EOEW_GRP_DFN

select Enterprise Components, then select Data Transformation, then select Define Map Groups, then select Map Groups

Create map groups.

Map Group Filter

EOEW_GRP_FLTR

Click the Chunking link on the Map Groups page.

Define chunking criteria for maps.

Map Groups Page

Use the Map Groups page (EOEW_GRP_DFN) to create map groups.

Image: Map Groups page

This example illustrates the fields and controls on the Map Groups page. You can find definitions for the fields and controls later on this page.

Map Groups page

Map Group Filter Page

Use the Map Group Filter page (EOEW_GRP_FLTR) to define chunking criteria for maps.

Image: Map Group Filter page

This example illustrates the fields and controls on the Map Group Filter page. You can find definitions for the fields and controls later on this page.

Map Group Filter page

Chunking is a mechanism that makes large amounts of processing easier through the use of multiple small parallel processes. By enabling chunking, multiple jobs are spawned from one job stream. These jobs run in parallel or serial to process data efficiently. It is an optional mechanism to help with performance. The user is responsible to define chunks that include all of the source data without duplicating any rows. The system will not verify this. The map group is still the unit of work. The group job is not complete until all of the chunks are also complete.

Note: The chunks you define must be configured to capture all of the source data without duplicating rows.