@pulumi/gcp
Version:
A Pulumi package for creating and managing Google Cloud Platform resources.
190 lines • 7.41 kB
JavaScript
;
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.AiFeatureOnlineStore = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
* Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.
*
* To get more information about FeatureOnlineStore, see:
*
* * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores)
* * How-to Guides
* * [Official Documentation](https://cloud.google.com/vertex-ai/docs)
*
* ## Example Usage
*
* ### Vertex Ai Feature Online Store
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const featureOnlineStore = new gcp.vertex.AiFeatureOnlineStore("feature_online_store", {
* name: "example_feature_online_store",
* labels: {
* foo: "bar",
* },
* region: "us-central1",
* bigtable: {
* autoScaling: {
* minNodeCount: 1,
* maxNodeCount: 3,
* cpuUtilizationTarget: 50,
* },
* },
* });
* ```
* ### Vertex Ai Featureonlinestore With Optimized
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const project = gcp.organizations.getProject({});
* const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
* name: "example_feature_online_store_optimized",
* labels: {
* foo: "bar",
* },
* region: "us-central1",
* optimized: {},
* dedicatedServingEndpoint: {
* privateServiceConnectConfig: {
* enablePrivateServiceConnect: true,
* projectAllowlists: [project.then(project => project.number)],
* },
* },
* });
* ```
* ### Vertex Ai Featureonlinestore With Beta Fields Bigtable
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
* name: "example_feature_online_store_beta_bigtable",
* labels: {
* foo: "bar",
* },
* region: "us-central1",
* bigtable: {
* autoScaling: {
* minNodeCount: 1,
* maxNodeCount: 2,
* cpuUtilizationTarget: 80,
* },
* },
* embeddingManagement: {
* enabled: true,
* },
* forceDestroy: true,
* });
* const project = gcp.organizations.getProject({});
* ```
*
* ## Import
*
* FeatureOnlineStore can be imported using any of these accepted formats:
*
* * `projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}`
*
* * `{{project}}/{{region}}/{{name}}`
*
* * `{{region}}/{{name}}`
*
* * `{{name}}`
*
* When using the `pulumi import` command, FeatureOnlineStore can be imported using one of the formats above. For example:
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{project}}/{{region}}/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{region}}/{{name}}
* ```
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{name}}
* ```
*/
class AiFeatureOnlineStore extends pulumi.CustomResource {
/**
* Get an existing AiFeatureOnlineStore 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, id, state, opts) {
return new AiFeatureOnlineStore(name, state, { ...opts, id: id });
}
/**
* Returns true if the given object is an instance of AiFeatureOnlineStore. This is designed to work even
* when multiple copies of the Pulumi SDK have been loaded into the same process.
*/
static isInstance(obj) {
if (obj === undefined || obj === null) {
return false;
}
return obj['__pulumiType'] === AiFeatureOnlineStore.__pulumiType;
}
constructor(name, argsOrState, opts) {
let resourceInputs = {};
opts = opts || {};
if (opts.id) {
const state = argsOrState;
resourceInputs["bigtable"] = state?.bigtable;
resourceInputs["createTime"] = state?.createTime;
resourceInputs["dedicatedServingEndpoint"] = state?.dedicatedServingEndpoint;
resourceInputs["effectiveLabels"] = state?.effectiveLabels;
resourceInputs["embeddingManagement"] = state?.embeddingManagement;
resourceInputs["etag"] = state?.etag;
resourceInputs["forceDestroy"] = state?.forceDestroy;
resourceInputs["labels"] = state?.labels;
resourceInputs["name"] = state?.name;
resourceInputs["optimized"] = state?.optimized;
resourceInputs["project"] = state?.project;
resourceInputs["pulumiLabels"] = state?.pulumiLabels;
resourceInputs["region"] = state?.region;
resourceInputs["state"] = state?.state;
resourceInputs["updateTime"] = state?.updateTime;
}
else {
const args = argsOrState;
resourceInputs["bigtable"] = args?.bigtable;
resourceInputs["dedicatedServingEndpoint"] = args?.dedicatedServingEndpoint;
resourceInputs["embeddingManagement"] = args?.embeddingManagement;
resourceInputs["forceDestroy"] = args?.forceDestroy;
resourceInputs["labels"] = args?.labels;
resourceInputs["name"] = args?.name;
resourceInputs["optimized"] = args?.optimized;
resourceInputs["project"] = args?.project;
resourceInputs["region"] = args?.region;
resourceInputs["createTime"] = undefined /*out*/;
resourceInputs["effectiveLabels"] = undefined /*out*/;
resourceInputs["etag"] = undefined /*out*/;
resourceInputs["pulumiLabels"] = undefined /*out*/;
resourceInputs["state"] = undefined /*out*/;
resourceInputs["updateTime"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
const secretOpts = { additionalSecretOutputs: ["effectiveLabels", "pulumiLabels"] };
opts = pulumi.mergeOptions(opts, secretOpts);
super(AiFeatureOnlineStore.__pulumiType, name, resourceInputs, opts);
}
}
exports.AiFeatureOnlineStore = AiFeatureOnlineStore;
/** @internal */
AiFeatureOnlineStore.__pulumiType = 'gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore';
//# sourceMappingURL=aiFeatureOnlineStore.js.map