Module differential_dataflow::operators

Specialize differential dataflow operators.

Differential dataflow introduces a small number of specialized operators on collections. These operators have specialized implementations to make them work efficiently, and are in addition to several operations defined directly on the Collection type (e.g. map and filter).

Re-exports

pub use self::group::Group;

pub use self::group::Threshold;

pub use self::group::Count;

pub use self::group::consolidate_from;

pub use self::consolidate::Consolidate;

pub use self::iterate::Iterate;

pub use self::join::Join;

pub use self::join::JoinCore;

pub use self::count::CountTotal;

pub use self::threshold::ThresholdTotal;

Modules

arrange

Arranges a collection into a re-usable trace structure.

consolidate

Aggregates the weights of equal records into at most one record.

count

Group records by a key, and apply a reduction function.

group

Group records by a key, and apply a reduction function.

iterate

Iterative application of a differential dataflow fragment.

join

Match pairs of records based on a key.

threshold

Reduce the collection to one occurrence of each distinct element.