Reactive dataflow processing.
Defines a reactive dataflow graph that can process both scalar values and
streaming relational data. A central
Dataflow instance manages and
schedules a collection of
Operator instances, each of which is a node in
a dataflow graph. Each operator maintains a local state value, and may
also process streaming data objects (or tuples) passing through. Operators
may depend on a set of named
Parameters, which can either be fixed values
or live references to other operator values.
Upon modifications to operator parameters or input data, changes are
propagated through the graph in topological order.
Pulse objects propagate
from operators to their dependencies, and carry queues of added, removed
and/or modified tuples.
This module contains only the core reactive dataflow processing engine.
Other modules provide a library of
Operator types for data stream query
processing, including data generation, sampling, filtering, binning,
aggregation, cross-stream lookup, visual encoding, and spatial layout.
For more information about data stream transforms, see the Vega transform documentation.