Enabling and disabling reject flows
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.
Tip
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 should attempt to define how errors and rejects are handled before coding begins.
Getting ready
Open the job jo_cook_ch03_0000_inputReject.
How to do it…
Run the job and it will fail with an unparseable date error.
Open the
tFileInputDelimitedcomponent...
