distributed 2021.10.0

check_idle_saturated(self, ws: distributed.scheduler.WorkerState, occ: ctypes.c_double = -1.0)

The scheduler keeps track of workers that are ..

They are considered saturated if they both have enough tasks to occupy all of their threads, and if the expected runtime of those tasks is large enough.

This is useful for load balancing and adaptivity.

Update the status of the idle and saturated state

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


File: /distributed/scheduler.py#3280
type: <class 'function'>
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