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  • To collect a new sample, click the appropriate sample card. See below.

    Tip

    Tip: A sample execution is a type of job. Any issues related to the execution of a sampling can be reviewed through the job logs.


  • After a sample is created, you can load it at any time, as long as it is still valid. Next to a collected sample, click Load sample.
  • For more information on sampling methods, see Overview of Sampling.

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  • Anomaly type:(Anomaly-based) Select the type of anomalous values to include in your sample: invalid, missing, or both types.
  • Variable overrides: If one or more variables is associated with your dataset, you can define the value overrides to be applied when the sample is executed. 
    • You can use these overrides to sample data from different source files in your dataset with parameters. 
    • A variable can have an empty value.
    • For more information, see Overview of Parameterization.
  • To begin collecting the sample, click Collect.
  • You can continue working while the sample is collected. When the sample is available, a status message is displayed in the Transformer page.
  • You can click Load Sample in the Samples panel to begin using it.

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Info

NOTE: If you add recipe steps that change the number of rows in your dataset (or a few other edge case steps), some of your existing samples may no longer be valid. When you execute a join, union, or delete action or edit steps before this action, you may be prompted with the Change Recipe dialog, which includes the following message:

Your change will invalidate some of the currently available samples for this source. The invalid samples will be deactivated.

For more information on the types of transformations that can invalidate samples, see Reshaping Steps.


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label(label = "sample") OR (label = "sample_ui") OR (label = "sample_ui")