How Do I Build a Gcp Bigquery Datasetaccess With Pulumi?

Introduction

In this guide, we will demonstrate how to build a Google Cloud Platform (GCP) BigQuery dataset access configuration using Pulumi. We will use Pulumi’s TypeScript SDK to define and manage the infrastructure. The key service involved is BigQuery, which is Google’s fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.

Step-by-Step Explanation

Step 1: Install Pulumi and GCP Plugin

First, ensure you have Pulumi installed. If not, you can install it using npm:

npm install -g pulumi

Next, install the Pulumi GCP plugin:

pulumi plugin install resource gcp v6.0.0

Step 2: Create a New Pulumi Project

Create a new directory for your project and initialize a new Pulumi project:

mkdir pulumi-gcp-bigquery
cd pulumi-gcp-bigquery
pulumi new typescript

Step 3: Define the BigQuery Dataset

In your index.ts file, define a new BigQuery dataset:

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const dataset = new gcp.bigquery.Dataset("myDataset", {
    datasetId: "my_dataset",
    friendlyName: "My Dataset",
    description: "A description of my dataset",
    location: "US",
});

Step 4: Configure Dataset Access

Next, configure the access control for the dataset. You can specify the roles and members that should have access to the dataset:

const datasetAccess = new gcp.bigquery.DatasetAccess("myDatasetAccess", {
    datasetId: dataset.datasetId,
    role: "roles/bigquery.dataViewer",
    userByEmail: "user@example.com",
});

Step 5: Deploy the Stack

Finally, deploy your stack to create the resources on GCP:

pulumi up

Follow the prompts to review and confirm the deployment.

Summary

In this guide, we demonstrated how to create a GCP BigQuery dataset and configure access to it using Pulumi’s TypeScript SDK. We covered the steps to install Pulumi and the GCP plugin, define the dataset, configure access control, and deploy the stack. By following these steps, you can manage your BigQuery datasets and access controls programmatically with Pulumi.

Full Code Example

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const dataset = new gcp.bigquery.Dataset("myDataset", {
    datasetId: "my_dataset",
    friendlyName: "My Dataset",
    description: "A description of my dataset",
    location: "US",
});

const datasetAccess = new gcp.bigquery.DatasetAccess("myDatasetAccess", {
    datasetId: dataset.datasetId,
    role: "roles/bigquery.dataViewer",
    userByEmail: "user@example.com",
});