1. Home
  2. Latest Release Docs
  3. Guides
  4. Concepts
  5. Tools
  6. References
    1. Apache Spark
    2. Built-in Functions
    3. Incorta Component SDK
    4. Incorta Connector SDK
    5. Connectors
    6. Data Studio
      1. Enabling the Data Studio
      2. Aggregation Recipe
      3. Change Type Recipe
      4. Data Quality Recipe
      5. Filter Recipe
      6. Formula Recipe
      7. Fuzzy Join Recipe
      8. Join Recipe
      9. LLM Recipe
      10. Python Recipe
      11. Rename Recipe
      12. Sample Recipe
      13. Save MV Recipee
      14. Select Recipe
      15. Sort Recipe
      16. Split Recipe
      17. SQL Recipe
      18. Union Recipe
      19. Unpivot Recipe
    7. Public API
    8. Security
    9. SQL Interface
    10. Visualizations
    11. Other
  7. Integrations
  8. Data applications
  9. Release Notes
  10. Incorta Premium

References → Sample Recipe

With the sample recipe, you can return a subset of data from a larger dataset. This can help quickly reduce records, perform exploratory analysis, or test a manageable portion of the data.

Configuration

ConfigurationDescription
Recipe NameA freeform name of how a user would like to name a recipe
InputSelect a previously constructed recipe to process
Sample FractionAssign a fraction of 0.0 to 1.0 for sampling - each number representing a fraction of the dataset. If your dataset is 1000 and the sample is 0.5, then 500 records would be returned.
Note

The seed used in this sampling is random. This means that the rows will be randomly selected every time data is sampled. As a result, do not use this tool to create reproducible subsets of data.