![]() Imagine if there were 100 values to handle! The workspace would be enormous! There are just far too many AttributeCreator transformers. Technically, the following works, but it is far from elegant: The question is: what happens when the scenario requires a new attribute to be created based upon the original attribute value? So filtering transformers divide data up into separate streams in the workspace. Similarly, a Tester or TestFilter transformer can be used to divide data in various ways. ![]() In this example, the AttributeFilter is being used to divide data on the basis of a postal code attribute value: The Basic FME Desktop training course includes a section on Conditional Filtering, and explains how to apply conditions to data in order to split or divide it into multiple streams. Custom Transformers and Parallel ProcessingĬonditional Attribute Values are a tool that can be used to replace many existing transformers of the same type.
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