Promote support for BigQuery dataset resource tags to GA (#11122) (#742)

[upstream:6d7694e741f58ffa199749eb2adafe4857c34ee0]

Signed-off-by: Modular Magician <[email protected]>

bigquery_dataset_resource_tags/backing_file.tf

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+# This file has some scaffolding to make sure that names are unique and that
+# a region and zone are selected when you try to create your Terraform resources.
+
+locals {
+  name_suffix = "${random_pet.suffix.id}"
+}
+
+resource "random_pet" "suffix" {
+  length = 2
+}
+
+provider "google" {
+  region = "us-central1"
+  zone   = "us-central1-c"
+}

bigquery_dataset_resource_tags/main.tf

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+data "google_project" "project" {
+}
+
+resource "google_tags_tag_key" "tag_key1" {
+  parent = "projects/${data.google_project.project.number}"
+  short_name = "tag_key1-${local.name_suffix}"
+}
+
+resource "google_tags_tag_value" "tag_value1" {
+  parent = "tagKeys/${google_tags_tag_key.tag_key1.name}"
+  short_name = "tag_value1-${local.name_suffix}"
+}
+
+resource "google_tags_tag_key" "tag_key2" {
+  parent = "projects/${data.google_project.project.number}"
+  short_name = "tag_key2-${local.name_suffix}"
+}
+
+resource "google_tags_tag_value" "tag_value2" {
+  parent = "tagKeys/${google_tags_tag_key.tag_key2.name}"
+  short_name = "tag_value2-${local.name_suffix}"
+}
+
+resource "google_bigquery_dataset" "dataset" {
+  dataset_id                  = "dataset-${local.name_suffix}"
+  friendly_name               = "test"
+  description                 = "This is a test description"
+  location                    = "EU"
+
+  resource_tags = {
+    "${data.google_project.project.project_id}/${google_tags_tag_key.tag_key1.short_name}" = "${google_tags_tag_value.tag_value1.short_name}"
+    "${data.google_project.project.project_id}/${google_tags_tag_key.tag_key2.short_name}" = "${google_tags_tag_value.tag_value2.short_name}"
+  }
+}

bigquery_dataset_resource_tags/motd

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+===
+
+These examples use real resources that will be billed to the
+Google Cloud Platform project you use - so make sure that you
+run "terraform destroy" before quitting!
+
+===

bigquery_dataset_resource_tags/tutorial.md

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+# Bigquery Dataset Resource Tags - Terraform
+
+## Setup
+
+<walkthrough-author name="[email protected]" analyticsId="UA-125550242-1" tutorialName="bigquery_dataset_resource_tags" repositoryUrl="https://github.com/terraform-google-modules/docs-examples"></walkthrough-author>
+
+Welcome to Terraform in Google Cloud Shell! We need you to let us know what project you'd like to use with Terraform.
+
+<walkthrough-project-billing-setup></walkthrough-project-billing-setup>
+
+Terraform provisions real GCP resources, so anything you create in this session will be billed against this project.
+
+## Terraforming!
+
+Let's use {{project-id}} with Terraform! Click the Cloud Shell icon below to copy the command
+to your shell, and then run it from the shell by pressing Enter/Return. Terraform will pick up
+the project name from the environment variable.
+
+```bash
+export GOOGLE_CLOUD_PROJECT={{project-id}}
+```
+
+After that, let's get Terraform started. Run the following to pull in the providers.
+
+```bash
+terraform init
+```
+
+With the providers downloaded and a project set, you're ready to use Terraform. Go ahead!
+
+```bash
+terraform apply
+```
+
+Terraform will show you what it plans to do, and prompt you to accept. Type "yes" to accept the plan.
+
+```bash
+yes
+```
+
+
+## Post-Apply
+
+### Editing your config
+
+Now you've provisioned your resources in GCP! If you run a "plan", you should see no changes needed.
+
+```bash
+terraform plan
+```
+
+So let's make a change! Try editing a number, or appending a value to the name in the editor. Then,
+run a 'plan' again.
+
+```bash
+terraform plan
+```
+
+Afterwards you can run an apply, which implicitly does a plan and shows you the intended changes
+at the 'yes' prompt.
+
+```bash
+terraform apply
+```
+
+```bash
+yes
+```
+
+## Cleanup
+
+Run the following to remove the resources Terraform provisioned:
+
+```bash
+terraform destroy
+```
+```bash
+yes
+```