feat(vertexai): Support google_vertex_ai_feature_group (#9520) (#627)

[upstream:49252d7a95dc28f660ad9be07c260f02e23d51fb]

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

vertex_ai_feature_group/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"
+}

vertex_ai_feature_group/main.tf

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+  resource "google_vertex_ai_feature_group" "feature_group" {
+  name = "example_feature_group-${local.name_suffix}"
+  description = "A sample feature group"
+  region = "us-central1"
+  labels = {
+      label-one = "value-one"
+  }
+  big_query {
+    big_query_source {
+        # The source table must have a column named 'feature_timestamp' of type TIMESTAMP.
+        input_uri = "bq://${google_bigquery_table.sample_table.project}.${google_bigquery_table.sample_table.dataset_id}.${google_bigquery_table.sample_table.table_id}"
+    }
+    entity_id_columns = ["feature_id"]
+  }
+}
+
+resource "google_bigquery_dataset" "sample_dataset" {
+  dataset_id                  = "job_load-${local.name_suffix}_dataset"
+  friendly_name               = "test"
+  description                 = "This is a test description"
+  location                    = "US"
+}
+
+resource "google_bigquery_table" "sample_table" {
+  deletion_protection = false
+  dataset_id = google_bigquery_dataset.sample_dataset.dataset_id
+  table_id   = "job_load-${local.name_suffix}_table"
+
+  schema = <<EOF
+[
+    {
+        "name": "feature_id",
+        "type": "STRING",
+        "mode": "NULLABLE"
+    },
+    {
+        "name": "feature_timestamp",
+        "type": "TIMESTAMP",
+        "mode": "NULLABLE"
+    }
+]
+EOF
+}

vertex_ai_feature_group/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!
+
+===

vertex_ai_feature_group/tutorial.md

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+# Vertex Ai Feature Group - Terraform
+
+## Setup
+
+<walkthrough-author name="[email protected]" analyticsId="UA-125550242-1" tutorialName="vertex_ai_feature_group" 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
+```