AutoScale.md

AutoScale

Properties

Name	Type	Description	Notes
min_workers	int	The minimum number of workers to which the cluster can scale down when underutilized. It is also the initial number of workers the cluster has after creation.	[optional]
max_workers	int	The maximum number of workers to which the cluster can scale up when overloaded. max_workers must be strictly greater than min_workers.	[optional]

Example

from databricks_jobs.models.auto_scale import AutoScale

# TODO update the JSON string below
json = "{}"
# create an instance of AutoScale from a JSON string
auto_scale_instance = AutoScale.from_json(json)
# print the JSON string representation of the object
print AutoScale.to_json()

# convert the object into a dict
auto_scale_dict = auto_scale_instance.to_dict()
# create an instance of AutoScale from a dict
auto_scale_form_dict = auto_scale.from_dict(auto_scale_dict)

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