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- on a specified set of rows (firstrows)
- on a quick scan across the dataset
- on a full scan of the entire dataset
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NOTE: When a flow is shared, its samples are shared with other users. However, if those users do not have access to the underlying files that back a sample, they do not have access to the sample and must create their own. |
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Tip: If you have added an expensive transformation step, such as a complex union or join, you can improve performance of the Transformer page by generating and using a new sample. |
For more information on creating samples, see Samples Panel.
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- Some advanced sampling options are available only with execution across a scan of the full dataset.
- Undo/redo do not change the sample state, even if the sample becomes invalid.
When a new sample is generated, any Sort transformations that have been applied previously must be re-applied. Depending on the type of output, sort order may not be preserved.
Samples taken from a dataset with parameters are limited to a maximum of 50 files when executed on the
running environment. You can modify parameters as they apply to sampling jobs. See Samples Panel.d-s-serverphoton
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NOTE: The First rows sampling technique requires the |
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Random selection of a subset of rows in the dataset. These samples are comparatively fast to generate.You can apply quick scan or full scan to determine the scope of the sample.
Filter-based samples
Find specific values in one or more columns. For the matching set of values, a random sample is generated.
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