These classes are various utilities that are used in various parts of the API.
Builder for a “dataset selection”. In DSS, a dataset selection is used to select a part of a dataset for processing.
Depending on the location where it is used, a selection can include: * Sampling * Filtering by partitions (for partitioned datasets) * Filtering by an expression * Selection of columns * Ordering
Please see the sampling documentation of DSS for a detailed explanation of the sampling methods.
Returns the built selection dict
Sets the sampling to ‘first records’ mode
Sets the sampling to ‘no sampling, all data’ mode
Sets the sampling to ‘Random sampling, fixed number of records’ mode
Sets partition filtering on the given partition identifiers. The dataset to select must be partitioned.