distributed 2021.10.0

Parameters
call_stack(self, futures=None, keys=None)

You can specify data of interest either by providing futures or collections in the futures= keyword or a list of explicit keys in the keys= keyword. If neither are provided then all call stacks will be returned.

Parameters

futures : list (optional)

List of futures, defaults to all data

keys : list (optional)

List of key names, defaults to all data

The actively running call stack of all relevant keys

Examples

This example is valid syntax, but we were not able to check execution
>>> df = dd.read_parquet(...).persist()  # doctest: +SKIP
... client.call_stack(df) # call on collections
This example is valid syntax, but we were not able to check execution
>>> client.call_stack()  # Or call with no arguments for all activity  # doctest: +SKIP
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/client.py#3334
type: <class 'function'>
Commit: