1. Executing SQL queries on Redshift from a Lambda function

    TypeScript

    To execute SQL queries on Amazon Redshift from an AWS Lambda function using Pulumi, you would typically take the following steps:

    1. Provision a Redshift cluster if you don't already have one.
    2. Create an AWS IAM Role with the necessary permissions for the Lambda function to access Redshift.
    3. Create a Lambda function which will contain the logic to execute SQL queries on Redshift.
    4. Use the aws.redshiftdata module to execute the SQL command from within the Lambda function.

    Here is a detailed explanation and demonstrative program:

    Resources Used

    • aws.redshift.Cluster: Represents the Redshift cluster itself. Documentation can be found here.
    • aws.iam.Role: Represents the IAM Role that will grant the Lambda function permissions to interact with Redshift. The documentation is here.
    • aws.lambda.Function: Represents the Lambda function that will execute the SQL query. Find more information here.
    • aws.redshiftdata.Statement: A module to execute SQL queries on Redshift. Check the docs here.

    Explanation

    The following Pulumi TypeScript program demonstrates these steps:

    • A new Redshift cluster is provisioned.
    • An IAM Role for the Lambda function is created with the AmazonRedshiftDataFullAccess policy attached. This policy allows the Lambda function to execute SQL queries on the Redshift cluster.
    • The Lambda function is created using Node.js runtime, and the SQL execution logic would be part of the code (index.js).
    • A Redshift Data API Statement resource is not directly used in Pulumi code since it typically represents an individual SQL statement execution. Instead, you'd execute the SQL command by invoking the AWS SDK within the Lambda function's code.

    Remember to replace placeholders like <...> with appropriate values.

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as fs from "fs"; // Create a Redshift cluster const cluster = new aws.redshift.Cluster("my-cluster", { clusterIdentifier: "my-cluster", nodeType: "dc2.large", masterUsername: "username", masterPassword: "password", skipFinalSnapshot: true, }); // IAM role and policy for the Lambda function const lambdaRole = new aws.iam.Role("lambdaRole", { assumeRolePolicy: JSON.stringify({ Version: "2012-10-17", Statement: [{ Action: "sts:AssumeRole", Effect: "Allow", Principal: { Service: "lambda.amazonaws.com", }, }], }), }); const policyAttachment = new aws.iam.PolicyAttachment("lambdaPolicyAttachment", { roles: [lambdaRole.name], policyArn: "arn:aws:iam::aws:policy/AmazonRedshiftDataFullAccess", }); // Lambda function that executes SQL query on Redshift const lambdaFunction = new aws.lambda.Function("myLambdaFunction", { runtime: aws.lambda.Runtime.NodeJS12dX, // Choose the appropriate runtime role: lambdaRole.arn, handler: "index.handler", code: new pulumi.asset.AssetArchive({ ".": new pulumi.asset.FileArchive("./lambda"), }), environment: { variables: { CLUSTER_ID: cluster.clusterIdentifier, DB_NAME: "mydbname", // Replace with your database name // Include other required environment variables }, }, }); // Export the lambda function's ARN and Redshift cluster endpoint export const lambdaFunctionArn = lambdaFunction.arn; export const redshiftClusterEndpoint = cluster.endpoint;

    Lambda Function index.js

    In your ./lambda directory, you would have an index.js file with a code similar to what's outlined below. This code uses the AWS SDK to execute an SQL statement. Make sure to include "aws-sdk" in your package.json dependencies.

    const AWS = require('aws-sdk'); const redshiftData = new AWS.RedshiftData({ apiVersion: '2019-12-20' }); exports.handler = async (event) => { const sqlStatement = "SELECT * FROM my_table"; // Replace with your SQL query const params = { ClusterIdentifier: process.env.CLUSTER_ID, Database: process.env.DB_NAME, Sql: sqlStatement, // Optionally, you could also include DbUser here }; try { const data = await redshiftData.executeStatement(params).promise(); console.log("Query executed successfully:", data); // Further processing of query results can be done here } catch (error) { console.error("Query failed to execute", error); throw error; } };

    Conclusion

    This program sets up a Redshift cluster and creates a Lambda function which, when triggered, will execute a defined SQL query on the Redshift cluster. The Lambda function’s role has the necessary permissions to perform actions on the Redshift cluster. The SQL query execution is to be written within the Node.js Lambda function code to utilize the Redshift Data API programmatically via the aws-sdk.


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