Using aws apigateway with glue

Question

Pulumi · Accepted Answer

I will guide you on how to use AWS API Gateway to create an HTTP endpoint that interacts with AWS Glue. AWS API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it simple and cost-effective to categorize your data, cleanse it, enrich it, and move it reliably between various data stores.

In this context, assume you want to set up an API Gateway that triggers a Glue job. You might want to trigger a Glue job from an HTTP endpoint, for example, to run transformations on demand.

Here's how you would do it in Pulumi using TypeScript:

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

// Create an AWS Glue job
const glueJob = new aws.glue.Job("myGlueJob", {
    // Assume you have a script in Amazon S3 which defines your job
    command: {
        scriptLocation: `s3://${yourBucketName}/scripts/my-glue-job-script.py`,
        // Other required configurations go here
    },
    roleArn: yourGlueServiceRoleArn,  // Your IAM Role for Glue with necessary permissions
    // ... other properties
});

// Create a new REST API
const api = new aws.apigateway.RestApi("myApi", {
    description: "API Gateway to trigger Glue job",
});

// Create a resource /gluejob within our API
const resource = new aws.apigateway.Resource("myResource", {
    restApi: api.id,
    parentId: api.rootResourceId,
    pathPart: "gluejob",
});

// Create a POST method for the /gluejob resource
const method = new aws.apigateway.Method("myMethod", {
    httpMethod: "POST",
    authorization: "NONE", // Assuming no authorization for simplicity
    resourceId: resource.id,
    restApi: api.id,
});

// Integrating the POST method with a Lambda function that will trigger the Glue job
const integration = new aws.apigateway.Integration("myIntegration", {
    httpMethod: method.httpMethod,
    resourceId: resource.id,
    restApi: api.id,
    type: "AWS", // AWS integration type to integrate with AWS services like Lambda
    integrationHttpMethod: "POST", // The backend service method, in this case Lambda supports POST
    // uri specifies where the request should be sent
    uri: pulumi.interpolate`arn:aws:apigateway:${aws.config.region}:lambda:path/2015-03-31/functions/${yourLambdaFunctionArn}/invocations`,
    // Additional configurations go here
});

// Assuming the Lambda function has relevant AWS SDK calls to start a Glue job
// You need to define this Lambda function that uses AWS SDK to start the Glue job

// Deploy the API
const deployment = new aws.apigateway.Deployment("myDeployment", {
    restApi: api.id,
    // Additional properties such as stage name if required
}, { dependsOn: [method] }); // Make sure the deployment depends on the method

// Create a stage, named 'prod', associated to our deployment
const stage = new aws.apigateway.Stage("prodStage", {
    restApi: api.id,
    deployment: deployment.id,
    stageName: "prod",
});

export const apiUrl = pulumi.interpolate`${api.executionArn}/${stage.stageName}/gluejob`;
```

To explain the program:

1. **AWS Glue Job**: We define a Glue job which points to a script location in S3. This script contains ETL logic you'd like to perform. Additionally, we specify the IAM role ARN for this job which has the necessary permissions to execute the job and to access other AWS resources.

2. **API Gateway REST API**: We create a REST API endpoint using AWS API Gateway. This will serve as an HTTP interface to trigger our Glue job.

3. **Resource and Method**: We define a resource `/gluejob` as an addressable part of our API, and we create an HTTP POST method that will be used to invoke our ETL job.

4. **Integration**: We create an integration between the POST method and an AWS Lambda function, specifying the URI where the HTTP request should be sent. The `uri` includes our Lambda function ARN, which should be programmed to trigger the AWS Glue job using AWS SDK.

5. **Deployment**: We create a deployment for our API, which is a snapshot of the API that can be invoked.

6. **Stage**: We define a stage, which is a logical environment, where we want to deploy our API.

An important reminder is that you will need to provide your specific S3 bucket name, IAM role ARN, and Lambda function details, which I have annotated as placeholders in the code (like `yourBucketName`, `yourGlueServiceRoleArn`, and `yourLambdaFunctionArn`).

By running this Pulumi program and applying the changes via `pulumi up`, you'll create an API endpoint that, when invoked, will trigger a Glue job. This is a powerful setup for ETL automation and triggering data pipelines based on HTTP requests.