Using aws athena with directoryservice

Question

Pulumi · Accepted Answer

AWS Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, enables your directory-aware workloads and AWS resources to use managed Active Directory in AWS Cloud.

When using AWS Athena with AWS Directory Service, you might typically do this in scenarios where you need to analyze and query data related to your directory services. For example, if you're storing logs or other directory-related information in S3, you can use Athena to run queries on that data.

Below you'll find a Pulumi TypeScript program that sets up a simple Athena database, workgroup, and named query, as well as an AWS Managed Microsoft AD directory. This is a foundational setup, and custom data querying would be done outside of Pulumi using SQL queries executed through Athena.

The resources created in this program include:

- An AWS Athena Database: This is where your tables will live. Tables in Athena are like tables in a relational database and are used to define the schema of your data in S3.
- An AWS Athena Workgroup: Workgroups are used to separate query execution and history between users, teams, or applications.
- An AWS Athena Named Query: These are saved queries that you can reference easily.
- An AWS Managed Microsoft AD: This service is used for directory-aware workloads and includes features such as joining to a domain, LDAP read, group policy, and single sign-on.

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

// Create an AWS Athena Database
const athenaDatabase = new aws.athena.Database("exampleDatabase", {
    name: "example_database",
    bucket: "your-athena-result-bucket", // replace with an existing S3 bucket
    forceDestroy: true,
});

// Create an AWS Athena Workgroup
const athenaWorkgroup = new aws.athena.Workgroup("exampleWorkgroup", {
    name: "example_workgroup",
    state: "ENABLED",
    description: "Example workgroup for Athena queries",
    configuration: {
        resultConfiguration: {
            outputLocation: pulumi.interpolate`s3://${athenaDatabase.bucket}/output/`,
        },
    },
});

// Create an AWS Athena Named Query
const athenaNamedQuery = new aws.athena.NamedQuery("exampleNamedQuery", {
    name: "example_named_query",
    database: athenaDatabase.name,
    query: "SELECT * FROM your_table_name LIMIT 10;", // replace with your actual SQL query
    workgroup: athenaWorkgroup.id,
});

// Create an AWS Managed Microsoft AD Directory
const directory = new aws.directoryservice.Directory("exampleDirectory", {
    name: "corp.example.com",
    password: "SuperSecretPassw0rd", // replace with a real password
    type: "MicrosoftAD",
    edition: "Standard",
    alias: "corp",
    vpcSettings: {
        vpcId: "vpc-123456", // replace with your actual VPC ID
        subnetIds: [
            "subnet-12345678", // replace with your actual subnet IDs
            "subnet-87654321",
        ],
    },
    // Enable single-sign on
    enableSso: true,
});

// Exporting the names and ARNs of the created resources
export const athenaDatabaseName = athenaDatabase.name;
export const athenaWorkgroupName = athenaWorkgroup.name;
export const athenaNamedQueryId = athenaNamedQuery.id;
export const directoryName = directory.name;
export const directoryArn = directory.arn;
```

To run this program, you'll need to replace placeholders with your actual data, such as your S3 bucket name, VPC ID, subnet IDs, and the SQL query you intend to run.

Make sure you have AWS credentials configured for Pulumi to use, as well as the appropriate IAM policies attached to your user or role to create Athena and Directory Service resources.

Once Pulumi applies this program, the resources will be available in your AWS account, and you can start running your Athena queries on the Named Query created, or further configure your AWS Managed Microsoft AD. Remember that this is a starting point, and depending on your specific needs, you might need to configure additional settings or resources.