High-level graph layer for a join operation requiring the smaller collection to be broadcasted to every partition of the larger collection.

Parameters

name : str

Name of new (joined) output collection.

lhs_name: string :

"Left" DataFrame collection to join.

lhs_npartitions: int :

Number of partitions in "left" DataFrame collection.

rhs_name: string :

"Right" DataFrame collection to join.

rhs_npartitions: int :

Number of partitions in "right" DataFrame collection.

parts_out : list of int (optional)

List of required output-partition indices.

annotations : dict (optional)

Layer annotations.

**merge_kwargs : **dict

Keyword arguments to be passed to chunkwise merge func.

Broadcast-based Join Layer

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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