Module datarush.library

Package com.pervasive.datarush.operators.select

Provides operators for selecting a subset of the data set. Selection can be performed on various criteria:

• whether a record meets some given requirement, expressed as a logical predicate. Logical predicates are defined as ScalarValuedFunctions which return a boolean result; a number of common predicates are predefined in Predicates.
• whether a record falls within a given range of rows, based on position. Note that position is order-dependent; use on unordered data will yield non-deterministic results.

Random sampling of the data is also supported.

For operators which select a subset of fields from a record, refer to the operators in the record package.

Class Summary

Class	Description
FilterRows	Filters records based on a specified predicate.
LimitRows	Truncates a flow to a fixed number of records.
SampleRandomRows	Apply random sampling to the input data.

Enum Summary

Enum	Description
SampleMode	The mode to use when applying random sampling.