Using aws keyspaces with queue

Question

Pulumi · Accepted Answer

To use AWS Keyspaces (for Apache Cassandra) along with a queue in AWS, you would typically leverage Amazon Simple Queue Service (SQS) as the queue system. AWS Keyspaces is a scalable, highly available, and managed Apache Cassandra-compatible database service, while Amazon SQS offers a secure, durable, and available hosted queue that lets you integrate and decouple distributed software systems and components.

The program below sets up an AWS Keyspaces table and an Amazon SQS queue using Pulumi in TypeScript. We are going to use two Pulumi resources from the `aws` package:

- `aws.keyspaces.Table`: This resource defines a new AWS Keyspace table. You need to specify schema details like partition and clustering keys as per your application needs.
- `aws.sqs.Queue`: Creates a new standard or FIFO queue in Amazon SQS.

Assuming that you have already set up Pulumi and configured AWS credentials, here is a Pulumi program written in TypeScript that sets up a simple Keyspaces table and an SQS queue:

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

// Create a new AWS Keyspaces table
const exampleTable = new aws.keyspaces.Table("exampleTable", {
    keyspaceName: "example_keyspace",
    tableName: "example_table",
    partitionKeys: [{ name: "id", type: "text" }],
    clusteringKeys: [{ name: "createdAt", type: "timestamp" }],
    /* Additional configuration for your table as needed, like billingMode, 
       TTL settings, encryption settings, tags, etc. Check out the Pulumi AWS documentation 
       for detailed properties: https://www.pulumi.com/registry/packages/aws/api-docs/keyspaces/table/ */
});

// Create a new standard SQS queue
const exampleQueue = new aws.sqs.Queue("exampleQueue", {
    // Set any desired properties on your queue. The below is optional.
    // For example, enable long polling by setting the receive message wait time:
    receiveMessageWaitTimeSeconds: 10,
    // If you want a FIFO queue, set fifoQueue to true and name must end with `.fifo`.
    // FIFO queues have additional features, like deduplication and ordering.
    // fifoQueue: true,
    // queueName: "exampleQueue.fifo",
    // For more properties and configurations like redrive policies and dead-letter queues, refer to: 
    // https://www.pulumi.com/registry/packages/aws/api-docs/sqs/queue/
});

// Export the IDs of the Keyspaces table and SQS queue
export const keyspaceTableId = exampleTable.id;
export const sqsQueueUrl = exampleQueue.url;
```

In the above Pulumi program, we start by importing the AWS package provided by Pulumi, which contains classes and methods to interface with various AWS services.

We then create an instance of a Keyspaces table and an SQS queue, configuring them with the options we need. You can tailor the `partitionKeys`, `clusteringKeys`, and other table settings according to the schema requirements of your application.

After defining our resources, we finish by exporting the `id` of the Keyspaces table and the `url` of the SQS queue as stack outputs. These outputs can be used to identify the resources in the AWS console or in other parts of your Pulumi program or application.

The properties used within the resources are example parameters, and you'll want to modify them to fit the schema and configuration requirements of your particular application.

To run this Pulumi program, you would save this code in a file, typically named `index.ts`, and then execute it with Pulumi CLI commands like `pulumi up` after setting up the Pulumi project and stack. Ensure you have the AWS provider configured for Pulumi with the appropriate credentials and region selected.