---
title: "GET /v1/projects/{projectsId}/locations/{locationsId}/featureGroups"
method: GET
path: "/v1/projects/{projectsId}/locations/{locationsId}/featureGroups"
tags: ["projects"]
---

# GET /v1/projects/{projectsId}/locations/{locationsId}/featureGroups

`GET /v1/projects/{projectsId}/locations/{locationsId}/featureGroups`

## Request

- Base URL: `https://aiplatform.googleapis.com`
- URL: `https://aiplatform.googleapis.com/v1/projects/{projectsId}/locations/{locationsId}/featureGroups`
- Auth: OAuth 2 and OAuth 2
  - Implicit: `https://accounts.google.com/o/oauth2/auth`
  - Scopes: `https://www.googleapis.com/auth/cloud-platform`
  - Authorization code: `https://accounts.google.com/o/oauth2/auth`
  - Token URL: `https://accounts.google.com/o/oauth2/token` scopes: `https://www.googleapis.com/auth/cloud-platform`

Lists FeatureGroups in a given project and location.

## Path parameters

- `projectsId` string, required
- `locationsId` string, required

## Query parameters

- `filter` string
- `orderBy` string
- `pageSize` integer
- `pageToken` string

## Response `200`

Successful response

- GoogleCloudAiplatformV1ListFeatureGroupsResponse: Response message for FeatureRegistryService.ListFeatureGroups.
  - `featureGroups` GoogleCloudAiplatformV1FeatureGroup[]: The FeatureGroups matching the request.
    - `bigQuery` GoogleCloudAiplatformV1FeatureGroupBigQuery: Input source type for BigQuery Tables and Views.
      - `bigQuerySource` GoogleCloudAiplatformV1BigQuerySource: The BigQuery location for the input content.
        - `inputUri` string: Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
      - `dense` boolean: Optional. If set, all feature values will be fetched from a single row per unique entityId including nulls. If not set, will collapse all rows for each unique entityId into a singe row with any non-null values if present, if no non-null values are present will sync null. ex: If source has schema `(entity_id, feature_timestamp, f0, f1)` and the following rows: `(e1, 2020-01-01T10:00:00.123Z, 10, 15)` `(e1, 2020-02-01T10:00:00.123Z, 20, null)` If dense is set, `(e1, 20, null)` is synced to online stores. If dense is not set, `(e1, 20, 15)` is synced to online stores.
      - `entityIdColumns` string[]: Optional. Columns to construct entity_id / row keys. If not provided defaults to `entity_id`.
      - `staticDataSource` boolean: Optional. Set if the data source is not a time-series.
      - `timeSeries` GoogleCloudAiplatformV1FeatureGroupBigQueryTimeSeries
        - `timestampColumn` string: Optional. Column hosting timestamp values for a time-series source. Will be used to determine the latest `feature_values` for each entity. Optional. If not provided, column named `feature_timestamp` of type `TIMESTAMP` will be used.
    - `createTime` string, google-datetime: Output only. Timestamp when this FeatureGroup was created.
    - `description` string: Optional. Description of the FeatureGroup.
    - `etag` string: Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    - `labels` object: Optional. The labels with user-defined metadata to organize your FeatureGroup. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureGroup(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    - `name` string: Identifier. Name of the FeatureGroup. Format: `projects/{project}/locations/{location}/featureGroups/{featureGroup}`
    - `serviceAccountEmail` string: Output only. A Service Account unique to this FeatureGroup. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to access source data while running jobs under this FeatureGroup.
    - `serviceAgentType` 'SERVICE_AGENT_TYPE_UNSPECIFIED' | 'SERVICE_AGENT_TYPE_PROJECT' | 'SERVICE_AGENT_TYPE_FEATURE_GROUP': Optional. Service agent type used during jobs under a FeatureGroup. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureGroup within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_GROUP`. This will generate a separate service account to access the BigQuery source table.
    - `updateTime` string, google-datetime: Output only. Timestamp when this FeatureGroup was last updated.
  - `nextPageToken` string: A token, which can be sent as ListFeatureGroupsRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.

---

[API](https://skmtc.dev/google/apis/aiplatform.md) - [All operations](https://skmtc.dev/google/apis/aiplatform/llms.txt) - [OpenAPI document](https://skmtc.dev/google/apis/aiplatform/revisions/3aca3b348f0c?raw)