This creates a static HTML file that includes many of the same plots of the dashboard for later viewing.

The resulting file uses JavaScript, and so must be viewed with a web browser. Locally we recommend using python -m http.server or hosting the file live online.

Parameters

filename: str, optional :

The filename to save the performance report locally

stacklevel: int, optional :

The code execution frame utilized for populating the Calling Code section of the report. Defaults to :None:None:`1` which is the frame calling performance_report

mode: str, optional :

Mode parameter to pass to bokeh.io.output.output_file . Defaults to None .

Gather performance report

Examples

This example is valid syntax, but we were not able to check execution

>>> with performance_report(filename="myfile.html", stacklevel=1):
...     x.compute()

$ python -m http.server $ open myfile.html

See :

Back References

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

distributed.client.performance_report

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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