v5.18.0/website/docs/r/vertex_ai_feature_group_feature.html.markdown - terraform-provider-google-beta - Git at Google

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 #
 #     ***     AUTO GENERATED CODE    ***    Type: MMv1     ***
 #
 # ----------------------------------------------------------------------------
 #
 #     This file is automatically generated by Magic Modules and manual
 #     changes will be clobbered when the file is regenerated.
 #
 #     Please read more about how to change this file in
 #     .github/CONTRIBUTING.md.
 #
 # ----------------------------------------------------------------------------
 subcategory: "Vertex AI"
 description: |-
   Vertex AI Feature Group Feature is feature metadata information.
 ---

 # google\_vertex\_ai\_feature\_group\_feature

 Vertex AI Feature Group Feature is feature metadata information.


 To get more information about FeatureGroupFeature, see:

 * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureGroups.features)
 * How-to Guides
     * [Creating a Feature](https://cloud.google.com/vertex-ai/docs/featurestore/latest/create-feature)

 <div class = "oics-button" style="float: right; margin: 0 0 -15px">
   <a href="https://console.cloud.google.com/cloudshell/open?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2Fterraform-google-modules%2Fdocs-examples.git&cloudshell_working_dir=vertex_ai_feature_group_feature&cloudshell_image=gcr.io%2Fcloudshell-images%2Fcloudshell%3Alatest&open_in_editor=main.tf&cloudshell_print=.%2Fmotd&cloudshell_tutorial=.%2Ftutorial.md" target="_blank">
     <img alt="Open in Cloud Shell" src="//gstatic.com/cloudssh/images/open-btn.svg" style="max-height: 44px; margin: 32px auto; max-width: 100%;">
   </a>
 </div>
 ## Example Usage - Vertex Ai Feature Group Feature


 ```hcl
 resource "google_vertex_ai_feature_group_feature" "feature_group_feature" {
   name = "example_feature"
   region = "us-central1"
   feature_group = google_vertex_ai_feature_group.sample_feature_group.name
   description = "A sample feature"
   labels = {
       label-one = "value-one"
   }
 }


 resource "google_vertex_ai_feature_group" "sample_feature_group" {
   name = "example_feature_group"
   description = "A sample feature group"
   region = "us-central1"
   labels = {
       label-one = "value-one"
   }
   big_query {
     big_query_source {
         # The source table must have a column named 'feature_timestamp' of type TIMESTAMP.
         input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
     }
     entity_id_columns = ["feature_id"]
   }
 }

 resource "google_bigquery_dataset" "sample_dataset" {
   dataset_id                  = "job_load_dataset"
   friendly_name               = "test"
   description                 = "This is a test description"
   location                    = "US"
 }

 resource "google_bigquery_table" "sample_table" {
   deletion_protection = false
   dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
   table_id   = "job_load_table"

   schema = <<EOF
 [
     {
         "name": "feature_id",
         "type": "STRING",
         "mode": "NULLABLE"
     },
     {
         "name": "example_feature",
         "type": "STRING",
         "mode": "NULLABLE"
     },
     {
         "name": "feature_timestamp",
         "type": "TIMESTAMP",
         "mode": "NULLABLE"
     }
 ]
 EOF
 }
 ```

 ## Argument Reference

 The following arguments are supported:


 * `name` -
   (Required)
   The resource name of the Feature Group Feature.

 * `feature_group` -
   (Required)
   The name of the Feature Group.

 * `region` -
   (Required)
   The region for the resource. It should be the same as the feature group's region.


 - - -


 * `labels` -
   (Optional)
   The labels with user-defined metadata to organize your FeatureGroup.
   **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
   Please refer to the field `effective_labels` for all of the labels present on the resource.

 * `description` -
   (Optional)
   The description of the FeatureGroup.

 * `version_column_name` -
   (Optional)
   The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.

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


 ## 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/{{region}}/featureGroups/{{feature_group}}/features/{{name}}`

 * `create_time` -
   The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

 * `update_time` -
   The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

 * `terraform_labels` -
   The combination of labels configured directly on the resource
    and default labels configured on the provider.

 * `effective_labels` -
   All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Terraform, other clients and services.


 ## 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


 FeatureGroupFeature can be imported using any of these accepted formats:

 * `projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}`
 * `{{project}}/{{region}}/{{feature_group}}/{{name}}`
 * `{{region}}/{{feature_group}}/{{name}}`
 * `{{feature_group}}/{{name}}`


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

 ```tf
 import {
   id = "projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}"
   to = google_vertex_ai_feature_group_feature.default
 }
 ```

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

 ```
 $ terraform import google_vertex_ai_feature_group_feature.default projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}
 $ terraform import google_vertex_ai_feature_group_feature.default {{project}}/{{region}}/{{feature_group}}/{{name}}
 $ terraform import google_vertex_ai_feature_group_feature.default {{region}}/{{feature_group}}/{{name}}
 $ terraform import google_vertex_ai_feature_group_feature.default {{feature_group}}/{{name}}
 ```

 ## User Project Overrides

 This resource supports [User Project Overrides](https://registry.terraform.io/providers/hashicorp/google/latest/docs/guides/provider_reference#user_project_override).
	---
	# ----------------------------------------------------------------------------
	#
	# * AUTO GENERATED CODE * Type: MMv1 ***
	#
	# ----------------------------------------------------------------------------
	#
	# This file is automatically generated by Magic Modules and manual
	# changes will be clobbered when the file is regenerated.
	#
	# Please read more about how to change this file in
	# .github/CONTRIBUTING.md.
	#
	# ----------------------------------------------------------------------------
	subcategory: "Vertex AI"
	description: \|-
	Vertex AI Feature Group Feature is feature metadata information.
	---

	# google\_vertex\_ai\_feature\_group\_feature

	Vertex AI Feature Group Feature is feature metadata information.


	To get more information about FeatureGroupFeature, see:

	* [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.featureGroups.features)
	* How-to Guides
	* [Creating a Feature](https://cloud.google.com/vertex-ai/docs/featurestore/latest/create-feature)

	<div class = "oics-button" style="float: right; margin: 0 0 -15px">
	<a href="https://console.cloud.google.com/cloudshell/open?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2Fterraform-google-modules%2Fdocs-examples.git&cloudshell_working_dir=vertex_ai_feature_group_feature&cloudshell_image=gcr.io%2Fcloudshell-images%2Fcloudshell%3Alatest&open_in_editor=main.tf&cloudshell_print=.%2Fmotd&cloudshell_tutorial=.%2Ftutorial.md" target="_blank">
	<img alt="Open in Cloud Shell" src="//gstatic.com/cloudssh/images/open-btn.svg" style="max-height: 44px; margin: 32px auto; max-width: 100%;">
	</a>
	</div>
	## Example Usage - Vertex Ai Feature Group Feature


	```hcl
	resource "google_vertex_ai_feature_group_feature" "feature_group_feature" {
	name = "example_feature"
	region = "us-central1"
	feature_group = google_vertex_ai_feature_group.sample_feature_group.name
	description = "A sample feature"
	labels = {
	label-one = "value-one"
	}
	}


	resource "google_vertex_ai_feature_group" "sample_feature_group" {
	name = "example_feature_group"
	description = "A sample feature group"
	region = "us-central1"
	labels = {
	label-one = "value-one"
	}
	big_query {
	big_query_source {
	# The source table must have a column named 'feature_timestamp' of type TIMESTAMP.
	input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
	}
	entity_id_columns = ["feature_id"]
	}
	}

	resource "google_bigquery_dataset" "sample_dataset" {
	dataset_id = "job_load_dataset"
	friendly_name = "test"
	description = "This is a test description"
	location = "US"
	}

	resource "google_bigquery_table" "sample_table" {
	deletion_protection = false
	dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
	table_id = "job_load_table"

	schema = <<EOF
	[
	{
	"name": "feature_id",
	"type": "STRING",
	"mode": "NULLABLE"
	},
	{
	"name": "example_feature",
	"type": "STRING",
	"mode": "NULLABLE"
	},
	{
	"name": "feature_timestamp",
	"type": "TIMESTAMP",
	"mode": "NULLABLE"
	}
	]
	EOF
	}
	```

	## Argument Reference

	The following arguments are supported:


	* `name` -
	(Required)
	The resource name of the Feature Group Feature.

	* `feature_group` -
	(Required)
	The name of the Feature Group.

	* `region` -
	(Required)
	The region for the resource. It should be the same as the feature group's region.


	- - -


	* `labels` -
	(Optional)
	The labels with user-defined metadata to organize your FeatureGroup.
	Note: This field is non-authoritative, and will only manage the labels present in your configuration.
	Please refer to the field `effective_labels` for all of the labels present on the resource.

	* `description` -
	(Optional)
	The description of the FeatureGroup.

	* `version_column_name` -
	(Optional)
	The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.

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


	## 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/{{region}}/featureGroups/{{feature_group}}/features/{{name}}`

	* `create_time` -
	The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

	* `update_time` -
	The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.

	* `terraform_labels` -
	The combination of labels configured directly on the resource
	and default labels configured on the provider.

	* `effective_labels` -
	All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Terraform, other clients and services.


	## 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


	FeatureGroupFeature can be imported using any of these accepted formats:

	* `projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}`
	* `{{project}}/{{region}}/{{feature_group}}/{{name}}`
	* `{{region}}/{{feature_group}}/{{name}}`
	* `{{feature_group}}/{{name}}`


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

	```tf
	import {
	id = "projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}"
	to = google_vertex_ai_feature_group_feature.default
	}
	```

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

	```
	$ terraform import google_vertex_ai_feature_group_feature.default projects/{{project}}/locations/{{region}}/featureGroups/{{feature_group}}/features/{{name}}
	$ terraform import google_vertex_ai_feature_group_feature.default {{project}}/{{region}}/{{feature_group}}/{{name}}
	$ terraform import google_vertex_ai_feature_group_feature.default {{region}}/{{feature_group}}/{{name}}
	$ terraform import google_vertex_ai_feature_group_feature.default {{feature_group}}/{{name}}
	```

	## User Project Overrides

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