import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
 * Vertex AI Feature Group.
 *
 * To get more information about FeatureGroup, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups)
 * * How-to Guides
 *     * [Creating a Feature Group](https://cloud.google.com/vertex-ai/docs/featurestore/latest/create-featuregroup)
 *
 * ## Example Usage
 *
 * ### Vertex Ai Feature Group
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const sampleDataset = new gcp.bigquery.Dataset("sample_dataset", {
 *     datasetId: "job_load_dataset",
 *     friendlyName: "test",
 *     description: "This is a test description",
 *     location: "US",
 * });
 * const sampleTable = new gcp.bigquery.Table("sample_table", {
 *     deletionProtection: false,
 *     datasetId: sampleDataset.datasetId,
 *     tableId: "job_load_table",
 *     schema: `[
 *     {
 *         \\"name\\": \\"feature_id\\",
 *         \\"type\\": \\"STRING\\",
 *         \\"mode\\": \\"NULLABLE\\"
 *     },
 *     {
 *         \\"name\\": \\"feature_timestamp\\",
 *         \\"type\\": \\"TIMESTAMP\\",
 *         \\"mode\\": \\"NULLABLE\\"
 *     }
 * ]
 * `,
 * });
 * const featureGroup = new gcp.vertex.AiFeatureGroup("feature_group", {
 *     name: "example_feature_group",
 *     description: "A sample feature group",
 *     region: "us-central1",
 *     labels: {
 *         "label-one": "value-one",
 *     },
 *     bigQuery: {
 *         bigQuerySource: {
 *             inputUri: pulumi.interpolate`bq://${sampleTable.project}.${sampleTable.datasetId}.${sampleTable.tableId}`,
 *         },
 *         entityIdColumns: ["feature_id"],
 *     },
 * });
 * ```
 *
 * ## Import
 *
 * FeatureGroup can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{region}}/featureGroups/{{name}}`
 *
 * * `{{project}}/{{region}}/{{name}}`
 *
 * * `{{region}}/{{name}}`
 *
 * * `{{name}}`
 *
 * When using the `pulumi import` command, FeatureGroup can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default projects/{{project}}/locations/{{region}}/featureGroups/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{project}}/{{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureGroup:AiFeatureGroup default {{name}}
 * ```
 */
export declare class AiFeatureGroup extends pulumi.CustomResource {
    /**
     * Get an existing AiFeatureGroup resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: AiFeatureGroupState, opts?: pulumi.CustomResourceOptions): AiFeatureGroup;
    /**
     * Returns true if the given object is an instance of AiFeatureGroup.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is AiFeatureGroup;
    /**
     * Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
     * Structure is documented below.
     */
    readonly bigQuery: pulumi.Output<outputs.vertex.AiFeatureGroupBigQuery | undefined>;
    /**
     * The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
     */
    readonly createTime: pulumi.Output<string>;
    /**
     * The description of the FeatureGroup.
     */
    readonly description: pulumi.Output<string | undefined>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    readonly effectiveLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * Used to perform consistent read-modify-write updates.
     */
    readonly etag: pulumi.Output<string>;
    /**
     * 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 `effectiveLabels` for all of the labels present on the resource.
     */
    readonly labels: pulumi.Output<{
        [key: string]: string;
    } | undefined>;
    /**
     * The resource name of the Feature Group.
     */
    readonly name: pulumi.Output<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    readonly project: pulumi.Output<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    readonly pulumiLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * The region of feature group. eg us-central1
     */
    readonly region: pulumi.Output<string>;
    /**
     * The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
     */
    readonly updateTime: pulumi.Output<string>;
    /**
     * Create a AiFeatureGroup resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args?: AiFeatureGroupArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering AiFeatureGroup resources.
 */
export interface AiFeatureGroupState {
    /**
     * Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
     * Structure is documented below.
     */
    bigQuery?: pulumi.Input<inputs.vertex.AiFeatureGroupBigQuery>;
    /**
     * The timestamp of when the FeatureGroup was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
     */
    createTime?: pulumi.Input<string>;
    /**
     * The description of the FeatureGroup.
     */
    description?: pulumi.Input<string>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    effectiveLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * Used to perform consistent read-modify-write updates.
     */
    etag?: pulumi.Input<string>;
    /**
     * 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 `effectiveLabels` for all of the labels present on the resource.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * The resource name of the Feature Group.
     */
    name?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    pulumiLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * The region of feature group. eg us-central1
     */
    region?: pulumi.Input<string>;
    /**
     * The timestamp of when the FeatureGroup was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.
     */
    updateTime?: pulumi.Input<string>;
}
/**
 * The set of arguments for constructing a AiFeatureGroup resource.
 */
export interface AiFeatureGroupArgs {
    /**
     * Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entityId and a featureTimestamp column in the source.
     * Structure is documented below.
     */
    bigQuery?: pulumi.Input<inputs.vertex.AiFeatureGroupBigQuery>;
    /**
     * The description of the FeatureGroup.
     */
    description?: pulumi.Input<string>;
    /**
     * 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 `effectiveLabels` for all of the labels present on the resource.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * The resource name of the Feature Group.
     */
    name?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * The region of feature group. eg us-central1
     */
    region?: pulumi.Input<string>;
}
