How to use Pulumi for existing BigQuery table on GCP?

Question

Pulumi · Accepted Answer

Sure, you can utilize Pulumi to manage your resources on Google Cloud Platform (GCP), including BigQuery. It's important to note though, that in order to control existing resources with Pulumi, you must import them into your Pulumi project.

Here's a program that shows you how to import an existing BigQuery table into your Pulumi project.

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

// First, we define the BigQuery table that we want to manage from
// Pulumi. This does not yet import it.
const myTable = new gcp.bigquery.Table("my-table", {
    datasetId: "my_dataset",   // replace with your dataset ID
    tableId: "my_table",   // replace with your table ID
});

// Now we import the existing table into Pulumi.
myTable.import({
    id: `${myTable.datasetId}.${myTable.tableId}`,
});
```
This TypeScript code does two important things:

1. It declares a new Pulumi resource of type `gcp.bigquery.Table`, with two properties `datasetId` and `tableId` being the dataset ID and table ID of the BigQuery table you want to manage, respectively.

2. It imports your existing BigQuery table into Pulumi by calling the `import` method on the `Table` resource. The `id` argument to `import` should be a string that uniquely identifies the resource.

What this program effectively does is tell Pulumi: "There's a BigQuery table that already exists on GCP, and from now on, I want to manage it using Pulumi."

Note: This program assumes that you have already configured Pulumi to use your GCP account, and that you have the requisite permissions to create and manage BigQuery resources. It also assumes that the table you want to manage already exists on your GCP account.

After running this program, you'll be able to manage your BigQuery table as if it was created from your Pulumi project! You can handle it like you would with any other Pulumi resource in your codebase.

Please note that you need to replace `"my_dataset"` and `"my_table"` with your own dataset ID and table ID.

Also, remember to always be careful when you manage infrastructure with Pulumi or any other Infrastructure as Code tool! It is good practice to back up any data or infrastructure you are not prepared to lose, prior to importing.