Replicating data from MySQL to BigQuery using Datastream.

Question

Pulumi · Accepted Answer

Replicating data from MySQL to Google BigQuery involves several steps and the use of different services. Here's a rundown of what you would do, followed by a Pulumi program in TypeScript to automate the infrastructure setup:

1. **MySQL Source**: You'll need a MySQL database whose data you want to replicate. This could be a managed MySQL instance on a cloud provider or a self-hosted one.

2. **BigQuery Destination**: You'll create a dataset in BigQuery where the replicated data will be stored.

3. **Google Datastream**: This managed service streams data changes from MySQL to BigQuery in real-time.

4. **IAM Policies**: You'll set up the necessary permissions for Datastream to access your MySQL source and BigQuery destination.

Here is a Pulumi program that sets up the necessary infrastructure for this data replication on Google Cloud:

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as googleNative from "@pulumi/google-native";

// Create a BigQuery dataset for the destination.
const bigQueryDataset = new googleNative.bigquery.v2.Dataset("my-dataset", {
    datasetReference: {
        datasetId: "my_dataset", // Replace with your desired dataset ID.
    },
    location: "US", // Specify the location for the dataset.
});

// BigQuery dataset documentation:
// https://www.pulumi.com/registry/packages/google-native/api-docs/bigquery/v2/dataset/

// A Datastream Stream resource represents the configuration for streaming
// data from a source to a destination. You must already have a MySQL instance 
// and a BigQuery dataset in place for the stream to work.
const datastreamStream = new googleNative.datastream.v1.Stream("my-stream", {
    project: gcp.config.project, // Assumes your project is set in Pulumi config.
    location: "us-central1", // Match this with the location of your MySQL instance.
    sourceConfig: {
        sourceConnectionProfile: "projects/[YOUR_PROJECT]/locations/[LOCATION]/connectionProfiles/[CONNECTION_PROFILE_NAME]", // You need to create this in your project.
        mysqlSourceConfig: {
            // Include or exclude specific databases or tables as needed.
        },
    },
    destinationConfig: {
        destinationConnectionProfile: "projects/[YOUR_PROJECT]/locations/[LOCATION]/connectionProfiles/[CONNECTION_PROFILE_NAME]", // You need to create this in your project.
        gcsDestinationConfig: {
            // Configure Cloud Storage settings if needed.
        },
        bigqueryDestinationConfig: {
            datasetId: bigQueryDataset.datasetReference.datasetId,
        },
    },
    displayName: "My Datastream Stream",
});

// Google Datastream Stream documentation:
// https://www.pulumi.com/registry/packages/google-native/api-docs/datastream/v1/stream/

// Export the IDs of the created resources.
export const bigQueryDatasetId = bigQueryDataset.datasetReference.datasetId;
export const datastreamStreamName = datastreamStream.name;
```

This program creates the BigQuery dataset and a Datastream Stream that will contain the configuration for real-time replication.

Please note that you will have to manually set up and configure a MySQL instance if you do not have one, and connection profiles for both the source (MySQL) and the destination (BigQuery) through the Google Cloud Console or gcloud CLI before running this Pulumi program.

Additionally, proper IAM roles and permissions must be allocated to the Datastream service so it can access the MySQL instance and write to the BigQuery dataset. Depending on whether the MySQL instance is managed or self-hosted, and whether it's located within Google Cloud or outside of it, the setup for IAM and connection profiles will vary.

Hope this program helps you to set up your infrastructure for data replication from MySQL to BigQuery using Google Datastream.