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Important notes on sampling

• Sampling jobs may incur costs. These costs may vary between

  D s photon

  and your clustered running environments, depending on type of sample and cost of job execution.

• When sampling from compressed data, the data is uncompressed and then expanded. As a result, the sample size reflects the uncompressed data.
• Changes to preceding steps that alter the number of rows or columns in your dataset can invalidate the current sample, which means that the sample is no longer a valid representation of the state of the dataset in the recipe. In this case, 

  D s product

   automatically switches you back to the most recently collected sample that is currently valid. Details are below.

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