Module transform::dataflow

Whole-dataflow optimization

A dataflow may contain multiple views, each of which may only be optimized locally. However, information like demand and predicate pushdown can be applied across views once we understand the context in which the views will be executed.

Functions

inline_views

Inline views used in one other view, and in no exported objects.

optimize_dataflow

Optimizes the implementation of each dataflow.

optimize_dataflow_demand

Pushes demand information from published outputs to dataflow inputs, projecting away unnecessary columns.

optimize_dataflow_demand_inner

Pushes demand through views in view_sequence in order, removing columns not demanded.

optimize_dataflow_filters

Pushes predicate to dataflow inputs.

optimize_dataflow_filters_inner

Pushes filters down through views in view_sequence in order.

optimize_dataflow_monotonic

Propagates information about monotonic inputs through views.

optimize_dataflow_relations

Performs either the logical or the physical optimization pass on the dataflow using the supplied set of indexes.