distributed 2021.10.0

ParametersBackRef
rebalance(self, futures=None, workers=None, **kwargs)

Move data between workers to roughly balance memory burden. This either affects a subset of the keys/workers or the entire network, depending on keyword arguments.

For details on the algorithm and configuration options, refer to the matching scheduler-side method ~distributed.scheduler.Scheduler.rebalance .

warning

This operation is generally not well tested against normal operation of the scheduler. It is not recommended to use it while waiting on computations.

Parameters

futures : list, optional

A list of futures to balance, defaults all data

workers : list, optional

A list of workers on which to balance, defaults to all workers

Rebalance data within network

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

distributed.client.Client.replicate

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/client.py#3091
type: <class 'function'>
Commit: