create(parent, body, x__xgafv=None)

Creates new autoscaling policy.

Args:
parent: string, Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}. (required)
body: object, The request body. (required)
The object takes the form of:

{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
}

delete(name, x__xgafv=None)

Deletes an autoscaling policy. It is an error to delete an autoscaling policy that is in use by one or more clusters.

Args:
  name: string, Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
      # service Foo {
      #   rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
      # }
      # The JSON representation for Empty is empty JSON object {}.
  }

get(name, x__xgafv=None)

Retrieves autoscaling policy.

Args:
name: string, Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
}

getIamPolicy(resource, x__xgafv=None)

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Args:
  resource: string, REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example
      # {
      #   "bindings": [
      #     {
      #       "role": "roles/owner",
      #       "members": [
      #         "user:mike@example.com",
      #         "group:admins@example.com",
      #         "domain:google.com",
      #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
      #       ]
      #     },
      #     {
      #       "role": "roles/viewer",
      #       "members": ["user:sean@example.com"]
      #     }
      #   ]
      # }
      # YAML Example
      # bindings:
      # - members:
      #   - user:mike@example.com
      #   - group:admins@example.com
      #   - domain:google.com
      #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
      #   role: roles/owner
      # - members:
      #   - user:sean@example.com
      #   role: roles/viewer
      # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
    "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
      { # Associates members with a role.
        "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
        "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have the following values:
            # allUsers: A special identifier that represents anyone who is  on the internet; with or without a Google account.
            # allAuthenticatedUsers: A special identifier that represents anyone  who is authenticated with a Google account or a service account.
            # user:{emailid}: An email address that represents a specific Google  account. For example, alice@gmail.com .
            # serviceAccount:{emailid}: An email address that represents a service  account. For example, my-other-app@appspot.gserviceaccount.com.
            # group:{emailid}: An email address that represents a Google group.  For example, admins@example.com.
            # domain:{domain}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
          "A String",
        ],
        "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
            # title: "User account presence"
            # description: "Determines whether the request has a user account"
            # expression: "size(request.user) > 0"
          "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
          "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
          "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
        },
      },
    ],
    "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
    "version": 42, # Deprecated.
  }

list(parent, pageSize=None, pageToken=None, x__xgafv=None)

Lists autoscaling policies in the project.

Args:
parent: string, Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region} (required)
pageSize: integer, Optional. The maximum number of results to return in each response. Must be less than or equal to 1000. Defaults to 100.
pageToken: string, Optional. The page token, returned by a previous call, to request the next page of results.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # A response to a request to list autoscaling policies in a project.
"nextPageToken": "A String", # Output only. This token is included in the response if there are more results to fetch.
"policies": [ # Output only. Autoscaling policies list.
{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
},
],
}

list_next(previous_request, previous_response)

Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.

setIamPolicy(resource, body, x__xgafv=None)

Sets the access control policy on the specified resource. Replaces any existing policy.

Args:
  resource: string, REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Request message for SetIamPolicy method.
    "policy": { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example # REQUIRED: The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Cloud Platform services (such as Projects) might reject them.
        # {
        #   "bindings": [
        #     {
        #       "role": "roles/owner",
        #       "members": [
        #         "user:mike@example.com",
        #         "group:admins@example.com",
        #         "domain:google.com",
        #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
        #       ]
        #     },
        #     {
        #       "role": "roles/viewer",
        #       "members": ["user:sean@example.com"]
        #     }
        #   ]
        # }
        # YAML Example
        # bindings:
        # - members:
        #   - user:mike@example.com
        #   - group:admins@example.com
        #   - domain:google.com
        #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
        #   role: roles/owner
        # - members:
        #   - user:sean@example.com
        #   role: roles/viewer
        # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
      "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
        { # Associates members with a role.
          "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
          "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have the following values:
              # allUsers: A special identifier that represents anyone who is  on the internet; with or without a Google account.
              # allAuthenticatedUsers: A special identifier that represents anyone  who is authenticated with a Google account or a service account.
              # user:{emailid}: An email address that represents a specific Google  account. For example, alice@gmail.com .
              # serviceAccount:{emailid}: An email address that represents a service  account. For example, my-other-app@appspot.gserviceaccount.com.
              # group:{emailid}: An email address that represents a Google group.  For example, admins@example.com.
              # domain:{domain}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
            "A String",
          ],
          "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
              # title: "User account presence"
              # description: "Determines whether the request has a user account"
              # expression: "size(request.user) > 0"
            "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
            "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
            "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
            "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
          },
        },
      ],
      "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
      "version": 42, # Deprecated.
    },
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example
      # {
      #   "bindings": [
      #     {
      #       "role": "roles/owner",
      #       "members": [
      #         "user:mike@example.com",
      #         "group:admins@example.com",
      #         "domain:google.com",
      #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
      #       ]
      #     },
      #     {
      #       "role": "roles/viewer",
      #       "members": ["user:sean@example.com"]
      #     }
      #   ]
      # }
      # YAML Example
      # bindings:
      # - members:
      #   - user:mike@example.com
      #   - group:admins@example.com
      #   - domain:google.com
      #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
      #   role: roles/owner
      # - members:
      #   - user:sean@example.com
      #   role: roles/viewer
      # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
    "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
      { # Associates members with a role.
        "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
        "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have the following values:
            # allUsers: A special identifier that represents anyone who is  on the internet; with or without a Google account.
            # allAuthenticatedUsers: A special identifier that represents anyone  who is authenticated with a Google account or a service account.
            # user:{emailid}: An email address that represents a specific Google  account. For example, alice@gmail.com .
            # serviceAccount:{emailid}: An email address that represents a service  account. For example, my-other-app@appspot.gserviceaccount.com.
            # group:{emailid}: An email address that represents a Google group.  For example, admins@example.com.
            # domain:{domain}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
          "A String",
        ],
        "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
            # title: "User account presence"
            # description: "Determines whether the request has a user account"
            # expression: "size(request.user) > 0"
          "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
          "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
          "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
        },
      },
    ],
    "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
    "version": 42, # Deprecated.
  }

testIamPermissions(resource, body, x__xgafv=None)

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Args:
  resource: string, REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Request message for TestIamPermissions method.
    "permissions": [ # The set of permissions to check for the resource. Permissions with wildcards (such as '*' or 'storage.*') are not allowed. For more information see IAM Overview (https://cloud.google.com/iam/docs/overview#permissions).
      "A String",
    ],
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for TestIamPermissions method.
    "permissions": [ # A subset of TestPermissionsRequest.permissions that the caller is allowed.
      "A String",
    ],
  }

update(name, body, x__xgafv=None)

Updates (replaces) autoscaling policy.Disabled check for update_mask, because all updates will be full replacements.

Args:
name: string, Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}. (required)
body: object, The request body. (required)
The object takes the form of:

{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Describes an autoscaling policy for Dataproc cluster autoscaler.
"id": "A String", # Required. The policy id.The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). Cannot begin or end with underscore or hyphen. Must consist of between 3 and 50 characters.
"secondaryWorkerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Optional. Describes how the autoscaler will operate for secondary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"workerConfig": { # Configuration for the size bounds of an instance group, including its proportional size to other groups. # Required. Describes how the autoscaler will operate for primary workers.
"minInstances": 42, # Optional. Minimum number of instances for this group.Primary workers - Bounds: 2, max_instances. Default: 2. Secondary workers - Bounds: 0, max_instances. Default: 0.
"maxInstances": 42, # Optional. Maximum number of instances for this group. Required for primary workers. Note that by default, clusters will not use secondary workers. Required for secondary workers if the minimum secondary instances is set.Primary workers - Bounds: [min_instances, ). Required. Secondary workers - Bounds: [min_instances, ). Default: 0.
"weight": 42, # Optional. Weight for the instance group, which is used to determine the fraction of total workers in the cluster from this instance group. For example, if primary workers have weight 2, and secondary workers have weight 1, the cluster will have approximately 2 primary workers for each secondary worker.The cluster may not reach the specified balance if constrained by min/max bounds or other autoscaling settings. For example, if max_instances for secondary workers is 0, then only primary workers will be added. The cluster can also be out of balance when created.If weight is not set on any instance group, the cluster will default to equal weight for all groups: the cluster will attempt to maintain an equal number of workers in each group within the configured size bounds for each group. If weight is set for one group only, the cluster will default to zero weight on the unset group. For example if weight is set only on primary workers, the cluster will use primary workers only and no secondary workers.
},
"name": "A String", # Output only. The "resource name" of the policy, as described in https://cloud.google.com/apis/design/resource_names of the form projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}.
"basicAlgorithm": { # Basic algorithm for autoscaling.
"yarnConfig": { # Basic autoscaling configurations for YARN. # Required. YARN autoscaling configuration.
"scaleDownFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.Bounds: 0.0, 1.0.
"gracefulDecommissionTimeout": "A String", # Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.Bounds: 0s, 1d.
"scaleDownMinWorkerFraction": 3.14, # Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
"scaleUpFactor": 3.14, # Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).Bounds: 0.0, 1.0.
"scaleUpMinWorkerFraction": 3.14, # Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.Bounds: 0.0, 1.0. Default: 0.0.
},
"cooldownPeriod": "A String", # Optional. Duration between scaling events. A scaling period starts after the update operation from the previous event has completed.Bounds: 2m, 1d. Default: 2m.
},
}

Cloud Dataproc API . projects . locations . autoscalingPolicies

Instance Methods

Method Details