October 2013
Beginner to intermediate
270 pages
5h 41m
English
Rejected data is closely coupled to schemas (Chapter 2, Metadata and Schemas), as many of the input and output components will validate data according to a schema definition and then pass any incorrect data to a reject flow.
Reject flows thus allow non-conforming data to be collected and handled as per the needs of a project.
In some cases, depending upon the business requirement, rejects are not acceptable. In these cases, reject flows should be disabled and the job allowed to fail.
Whether a job dies on the first incorrect record, collects rejects in a file, or completely ignores rejects is a design decision that should be based upon the requirements for the process. Where possible, designers and developers ...
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