"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).

Method: projects.regions.autoscalingPolicies.get

HTTP request
Path parameters
Request body
Response body
Authorization scopes
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Retrieves autoscaling policy.

HTTP request

GET https://dataproc.googleapis.com/v1/{name=projects/*/regions/*/autoscalingPolicies/*}

The URL uses gRPC Transcoding syntax.

Path parameters

Parameters

name

string

Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names .

For projects.regions.autoscalingPolicies.get , the resource name of the policy has the following format: projects/{projectId}/regions/{region}/autoscalingPolicies/{policyId}
For projects.locations.autoscalingPolicies.get , the resource name of the policy has the following format: projects/{projectId}/locations/{location}/autoscalingPolicies/{policyId}

Authorization requires the following IAM permission on the specified resource name :

dataproc.autoscalingPolicies.get

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of AutoscalingPolicy .

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview .

Method: projects.regions.autoscalingPolicies.get Stay organized with collections Save and categorize content based on your preferences.