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).

Reexports

pub use self::group::Group;

pub use self::group::Distinct;

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::JoinUnsigned;

pub use self::join::JoinCore;

pub use self::count::CountTotal;

pub use self::distinct::DistinctTotal;

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.
distinct	Reduce the collection to one occurrence of each distinct element.
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.