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subcategory: "Dataproc"
description: |-
  Describes an autoscaling policy for Dataproc cluster autoscaler.
---

# google\_dataproc\_autoscaling\_policy

Describes an autoscaling policy for Dataproc cluster autoscaler.


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## Example Usage - Dataproc Autoscaling Policy


```hcl
resource "google_dataproc_cluster" "basic" {
  name     = "dataproc-policy"
  region   = "us-central1"

  cluster_config {
    autoscaling_config {
      policy_uri = google_dataproc_autoscaling_policy.asp.name
    }
  }
}

resource "google_dataproc_autoscaling_policy" "asp" {
  policy_id = "dataproc-policy"
  location  = "us-central1"

  worker_config {
    max_instances = 3
  }

  basic_algorithm {
    yarn_config {
      graceful_decommission_timeout = "30s"

      scale_up_factor   = 0.5
      scale_down_factor = 0.5
    }
  }
}
```

## Argument Reference

The following arguments are supported:


* `policy_id` -
  (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.


- - -


* `worker_config` -
  (Optional)
  Describes how the autoscaler will operate for primary workers.
  Structure is [documented below](#nested_worker_config).

* `secondary_worker_config` -
  (Optional)
  Describes how the autoscaler will operate for secondary workers.
  Structure is [documented below](#nested_secondary_worker_config).

* `basic_algorithm` -
  (Optional)
  Basic algorithm for autoscaling.
  Structure is [documented below](#nested_basic_algorithm).

* `location` -
  (Optional)
  The  location where the autoscaling policy should reside.
  The default value is `global`.

* `project` - (Optional) The ID of the project in which the resource belongs.
    If it is not provided, the provider project is used.


<a name="nested_worker_config"></a>The `worker_config` block supports:

* `min_instances` -
  (Optional)
  Minimum number of instances for this group. Bounds: [2, maxInstances]. Defaults to 2.

* `max_instances` -
  (Required)
  Maximum number of instances for this group.

* `weight` -
  (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 maxInstances 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.

<a name="nested_secondary_worker_config"></a>The `secondary_worker_config` block supports:

* `min_instances` -
  (Optional)
  Minimum number of instances for this group. Bounds: [0, maxInstances]. Defaults to 0.

* `max_instances` -
  (Optional)
  Maximum number of instances for this group. Note that by default, clusters will not use
  secondary workers. Required for secondary workers if the minimum secondary instances is set.
  Bounds: [minInstances, ). Defaults to 0.

* `weight` -
  (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 maxInstances 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.

<a name="nested_basic_algorithm"></a>The `basic_algorithm` block supports:

* `cooldown_period` -
  (Optional)
  Duration between scaling events. A scaling period starts after the
  update operation from the previous event has completed.
  Bounds: [2m, 1d]. Default: 2m.

* `yarn_config` -
  (Required)
  YARN autoscaling configuration.
  Structure is [documented below](#nested_yarn_config).


<a name="nested_yarn_config"></a>The `yarn_config` block supports:

* `graceful_decommission_timeout` -
  (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].

* `scale_up_factor` -
  (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].

* `scale_down_factor` -
  (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].

* `scale_up_min_worker_fraction` -
  (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.

* `scale_down_min_worker_fraction` -
  (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.

## Attributes Reference

In addition to the arguments listed above, the following computed attributes are exported:

* `id` - an identifier for the resource with format `projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}`

* `name` -
  The "resource name" of the autoscaling policy.


## Timeouts

This resource provides the following
[Timeouts](https://developer.hashicorp.com/terraform/plugin/sdkv2/resources/retries-and-customizable-timeouts) configuration options:

- `create` - Default is 20 minutes.
- `update` - Default is 20 minutes.
- `delete` - Default is 20 minutes.

## Import


AutoscalingPolicy can be imported using any of these accepted formats:

* `projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}`
* `{{project}}/{{location}}/{{policy_id}}`
* `{{location}}/{{policy_id}}`


In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import AutoscalingPolicy using one of the formats above. For example:

```tf
import {
  id = "projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}"
  to = google_dataproc_autoscaling_policy.default
}
```

When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), AutoscalingPolicy can be imported using one of the formats above. For example:

```
$ terraform import google_dataproc_autoscaling_policy.default projects/{{project}}/locations/{{location}}/autoscalingPolicies/{{policy_id}}
$ terraform import google_dataproc_autoscaling_policy.default {{project}}/{{location}}/{{policy_id}}
$ terraform import google_dataproc_autoscaling_policy.default {{location}}/{{policy_id}}
```

## User Project Overrides

This resource supports [User Project Overrides](https://registry.terraform.io/providers/hashicorp/google/latest/docs/guides/provider_reference#user_project_override).