distributed 2021.10.0

ParametersBackRef
fire_and_forget(obj)

Under normal operation Dask will not run any tasks for which there is not an active future (this avoids unnecessary work in many situations). However sometimes you want to just fire off a task, not track its future, and expect it to finish eventually. You can use this function on a future or collection of futures to ask Dask to complete the task even if no active client is tracking it.

The results will not be kept in memory after the task completes (unless there is an active future) so this is only useful for tasks that depend on side effects.

Parameters

obj : Future, list, dict, dask collection

The futures that you want to run at least once

Run tasks at least once, even if we release the futures

Examples

This example is valid syntax, but we were not able to check execution
>>> fire_and_forget(client.submit(func, *args))  # doctest: +SKIP
See :

Back References

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

distributed.client.fire_and_forget

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#4686
type: <class 'function'>
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