@pulumi/databricks
Version:
A Pulumi package for creating and managing databricks cloud resources.
104 lines • 4.01 kB
JavaScript
;
// *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.getServingEndpointsOutput = exports.getServingEndpoints = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("./utilities");
/**
* > This resource can only be used with a workspace-level provider!
*
* This resource allows you to get information about [Model Serving](https://docs.databricks.com/machine-learning/model-serving/index.html) endpoints in Databricks.
*
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as databricks from "@pulumi/databricks";
*
* const all = databricks.getServingEndpoints({});
* const mlServingUsage: databricks.Permissions[] = [];
* for (const range = {value: 0}; range.value < allDatabricksServingEndpoints.endpoints; range.value++) {
* mlServingUsage.push(new databricks.Permissions(`ml_serving_usage-${range.value}`, {
* servingEndpointId: range.value.id,
* accessControls: [
* {
* groupName: "users",
* permissionLevel: "CAN_VIEW",
* },
* {
* groupName: auto.displayName,
* permissionLevel: "CAN_MANAGE",
* },
* {
* groupName: eng.displayName,
* permissionLevel: "CAN_QUERY",
* },
* ],
* }));
* }
* ```
*
* ## Related Resources
*
* The following resources are often used in the same context:
*
* * databricks.Permissions can control which groups or individual users can *Manage*, *Query* or *View* individual serving endpoints.
*/
function getServingEndpoints(args, opts) {
args = args || {};
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts || {});
return pulumi.runtime.invoke("databricks:index/getServingEndpoints:getServingEndpoints", {
"endpoints": args.endpoints,
}, opts);
}
exports.getServingEndpoints = getServingEndpoints;
/**
* > This resource can only be used with a workspace-level provider!
*
* This resource allows you to get information about [Model Serving](https://docs.databricks.com/machine-learning/model-serving/index.html) endpoints in Databricks.
*
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as databricks from "@pulumi/databricks";
*
* const all = databricks.getServingEndpoints({});
* const mlServingUsage: databricks.Permissions[] = [];
* for (const range = {value: 0}; range.value < allDatabricksServingEndpoints.endpoints; range.value++) {
* mlServingUsage.push(new databricks.Permissions(`ml_serving_usage-${range.value}`, {
* servingEndpointId: range.value.id,
* accessControls: [
* {
* groupName: "users",
* permissionLevel: "CAN_VIEW",
* },
* {
* groupName: auto.displayName,
* permissionLevel: "CAN_MANAGE",
* },
* {
* groupName: eng.displayName,
* permissionLevel: "CAN_QUERY",
* },
* ],
* }));
* }
* ```
*
* ## Related Resources
*
* The following resources are often used in the same context:
*
* * databricks.Permissions can control which groups or individual users can *Manage*, *Query* or *View* individual serving endpoints.
*/
function getServingEndpointsOutput(args, opts) {
args = args || {};
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts || {});
return pulumi.runtime.invokeOutput("databricks:index/getServingEndpoints:getServingEndpoints", {
"endpoints": args.endpoints,
}, opts);
}
exports.getServingEndpointsOutput = getServingEndpointsOutput;
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