Sampler
From fmepedia
Sampler is a Workbench Transformer.
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Description
The Sampler can be set to only pass through one in every n features, or the first n features. Use this if you have a lot of data but don't necessarily have to process each and every one of them or if you have just sorted your data and only want the first n features.
Alternate Use
- The Sampler can also be useful as a placeholder within a translation, bringing many feature connections together. For example, if you have 50 source feature types that will all go through the same pipeline, connect them all to a single Sampler. You can place the Sampler away from the rest of the pipeline. This can help keep the workspace tidy.
- Good idea - and one that inspired me to create the Null Custom Transformer - one that does nothing whatsoever, but is useful as a placeholder.
Example
The attached workspace shows an example use of the Sampler transformer.
In this example a set of student exam results are generated. The students are then sampled in two different ways; the first 10 students and every 10th student.
Workspace Screenshot
