The Lambda function handler is the method in your function code that processes events. When your function is invoked, Lambda runs the handler method. Your function runs until the handler returns a response, exits, or times out.
This page describes how to work with Lambda function handlers in TypeScript, including options for project setup, naming conventions, and best practices. This page also includes an example of a TypeScript Lambda function that takes in information about an order, produces a text file receipt, and puts this file in an Amazon Simple Storage Service (Amazon S3) bucket. For information about how to deploy your function after writing it, see Deploy transpiled TypeScript code in Lambda with .zip file archives or Deploy transpiled TypeScript code in Lambda with container images.
Topics
Setting up your TypeScript project
Use a local integrated development environment (IDE) or text editor to write your TypeScript function code. You can’t create TypeScript code on the Lambda console.
There are multiple ways to initialize a TypeScript Lambda project. For example, you can create a project using npm
, create an AWS SAM application, or create an AWS CDK application. To create the project using npm
:
npm init
Your function code lives in a .ts
file, which you transpile into a JavaScript file at build time. You can use either esbuildtsc
) to transpile your TypeScript code into JavaScript. To use esbuild, add it as a development dependency:
npm install -D esbuild
A typical TypeScript Lambda function project follows this general structure:
/project-root ├── index.ts - Contains main handler ├── dist/ - Contains compiled JavaScript ├── package.json - Project metadata and dependencies ├── package-lock.json - Dependency lock file ├── tsconfig.json - TypeScript configuration └── node_modules/ - Installed dependencies
Example TypeScript Lambda function code
The following example Lambda function code takes in information about an order,
produces a text file receipt, and puts this file in an Amazon S3 bucket. This example defines a custom event type (OrderEvent
). To learn how to import type definitions for AWS event sources, see Type definitions for Lambda.
Note
This example uses an ES module handler. Lambda supports both ES module and CommonJS handlers. For more information, see Designating a function handler as an ES module.
Example index.ts Lambda function
import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';
// Initialize the S3 client outside the handler for reuse
const s3Client = new S3Client();
// Define the shape of the input event
type OrderEvent = {
order_id: string;
amount: number;
item: string;
}
/**
* Lambda handler for processing orders and storing receipts in S3.
*/
export const handler = async (event: OrderEvent): Promise<string> => {
try {
// Access environment variables
const bucketName = process.env.RECEIPT_BUCKET;
if (!bucketName) {
throw new Error('RECEIPT_BUCKET environment variable is not set');
}
// Create the receipt content and key destination
const receiptContent = `OrderID: ${event.order_id}\nAmount: $${event.amount.toFixed(2)}\nItem: ${event.item}`;
const key = `receipts/${event.order_id}.txt`;
// Upload the receipt to S3
await uploadReceiptToS3(bucketName, key, receiptContent);
console.log(`Successfully processed order ${event.order_id} and stored receipt in S3 bucket ${bucketName}`);
return 'Success';
} catch (error) {
console.error(`Failed to process order: ${error instanceof Error ? error.message : 'Unknown error'}`);
throw error;
}
};
/**
* Helper function to upload receipt to S3
*/
async function uploadReceiptToS3(bucketName: string, key: string, receiptContent: string): Promise<void> {
try {
const command = new PutObjectCommand({
Bucket: bucketName,
Key: key,
Body: receiptContent
});
await s3Client.send(command);
} catch (error) {
throw new Error(`Failed to upload receipt to S3: ${error instanceof Error ? error.message : 'Unknown error'}`);
}
}
This index.ts
file contains the following sections of code:
-
import
block: Use this block to include libraries that your Lambda function requires, such as AWS SDK clients. -
const s3Client
declaration: This initializes an Amazon S3 client outside of the handler function. This causes Lambda to run this code during the initialization phase, and the client is preserved for reuse across multiple invocations. -
type OrderEvent
: Defines the structure of the expected input event. -
export const handler
: This is the main handler function that Lambda invokes. When deploying your function, specifyindex.handler
for the Handler property. The value of theHandler
property is the file name and the name of the exported handler method, separated by a dot. -
uploadReceiptToS3
function: This is a helper function that's referenced by the main handler function.
For this function to work properly, its execution role must allow the s3:PutObject
action. Also, ensure that you define the RECEIPT_BUCKET
environment variable. After a successful invocation, the Amazon S3 bucket should contain a receipt file.
Handler naming conventions
When you configure a function, the value of the Handler setting is
the file name and the name of the exported handler method, separated by a dot. The default for functions created in the console and for
examples in this guide is index.handler
. This indicates the handler
method that's exported
from the index.js
or index.mjs
file.
If you create a function in the console using a different file name or function handler name, you must edit the default handler name.
To change the function handler name (console)
-
Open the Functions
page of the Lambda console and choose your function. -
Choose the Code tab.
-
Scroll down to the Runtime settings pane and choose Edit.
-
In Handler, enter the new name for your function handler.
-
Choose Save.
Defining and accessing the input event object
JSON is the most common and standard input format for Lambda functions. In this example, the function expects an input similar to the following:
{
"order_id": "12345",
"amount": 199.99,
"item": "Wireless Headphones"
}
When working with Lambda functions in TypeScript, you can define the shape of the input event using a type or interface. In this example, we define the event structure using a type:
type OrderEvent = {
order_id: string;
amount: number;
item: string;
}
After you define the type or interface, use it in your handler's signature to ensure type safety:
export const handler = async (event: OrderEvent): Promise<string> => {
During compilation, TypeScript validates that the event object contains the required fields with the correct types. For example, the TypeScript compiler reports an error if you try to use event.order_id
as a number or event.amount
as a string.
Valid handler patterns for TypeScript functions
We recommend that you use async/await to declare the function handler instead of using callbacks. Async/await is a concise and readable way to write asynchronous code, without the need for nested callbacks or chaining promises. With async/await, you can write code that reads like synchronous code, while still being asynchronous and non-blocking.
The examples in this section use the S3Event
type. However, you can use any other AWS event types in the @types/aws-lambda
-
Add the @types/aws-lambda package as a development dependency:
npm install -D @types/aws-lambda
-
Import the types you need, such as
Context
,S3Event
, orCallback
.
Using async/await (recommended)
The async
keyword marks a function as asynchronous, and the await
keyword pauses the execution of the function until a Promise
is resolved. The handler accepts the following arguments:
-
event
: Contains the input data passed to your function. -
context
: Contains information about the invocation, function, and execution environment. For more information, see Using the Lambda context object to retrieve TypeScript function information.
Here are the valid signatures for the async/await pattern:
-
Event only:
export const handler = async
(event: S3Event)
: Promise<void> => { }; -
Event and context object:
export const handler = async
(event: S3Event, context: Context)
: Promise<void> => { };
Note
When processing arrays of items asynchronously, make sure to use await with Promise.all
to ensure all operations complete. Methods like forEach
don't wait for async callbacks to complete. For more information, see Array.prototype.forEach()
Using callbacks
Callback handlers can use the event, context, and callback arguments. The callback argument expects an Error
and a response, which must be JSON-serializable.
Here are the valid signatures for the callback handler pattern:
-
Event and callback object:
export const handler =
(event: S3Event, callback: Callback<void>)
: void => { }; -
Event, context, and callback objects:
export const handler =
(event: S3Event, context: Context, callback: Callback<void>)
: void => { };
The function continues to execute until the event loop
Example TypeScript function with callback
The following example uses APIGatewayProxyCallback
, which is a specialized callback type specific to API Gateway integrations. Most AWS event sources use the generic Callback
type shown in the signatures above.
import { Context, APIGatewayProxyCallback, APIGatewayEvent } from 'aws-lambda';
export const lambdaHandler = (event: APIGatewayEvent, context: Context, callback: APIGatewayProxyCallback): void => {
console.log(`Event: ${JSON.stringify(event, null, 2)}`);
console.log(`Context: ${JSON.stringify(context, null, 2)}`);
callback(null, {
statusCode: 200,
body: JSON.stringify({
message: 'hello world',
}),
});
};
Using the SDK for JavaScript v3 in your handler
Often, you’ll use Lambda functions to interact with or make updates to other AWS resources. The simplest way to interface with these resources is to use the AWS SDK for JavaScript. All supported Lambda Node.js runtimes include the SDK for JavaScript version 3. However, we strongly recommend that you include the AWS SDK clients that you need in your deployment package. This maximizes backward compatibility during future Lambda runtime updates.
To add SDK dependencies to your function, use the npm install
command for the specific SDK clients that you need. In the example code, we used the Amazon S3 client. Add this dependency by running the following command in the directory that contains your package.json
file:
npm install @aws-sdk/client-s3
In the function code, import the client and commands that you need, as the example function demonstrates:
import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';
Then, initialize an Amazon S3 client:
const s3Client = new S3Client();
In this example, we initialized our Amazon S3 client outside of the main handler function to avoid having to initialize it every time we invoke our function. After you initialize your SDK client, you can then use it to make API calls for that AWS service. The example code calls the Amazon S3 PutObject API action as follows:
const command = new PutObjectCommand({
Bucket: bucketName,
Key: key,
Body: receiptContent
});
Accessing environment variables
In your handler code, you can reference any environment variables by using process.env
. In this example, we reference the defined RECEIPT_BUCKET
environment variable using the following lines of code:
// Access environment variables
const bucketName = process.env.RECEIPT_BUCKET;
if (!bucketName) {
throw new Error('RECEIPT_BUCKET environment variable is not set');
}
Using global state
Lambda runs your static code during the initialization phase before invoking your function for the first time. Resources created during initialization stay in memory between invocations, so you can avoid having to create them every time you invoke your function.
In the example code, the S3 client initialization code is outside the handler. The runtime initializes the client before the function handles its first event, and the client remains available for reuse across all invocations.
Code best practices for TypeScript Lambda functions
Follow these guidelines when building Lambda functions:
-
Separate the Lambda handler from your core logic. This allows you to make a more unit-testable function.
-
Control the dependencies in your function's deployment package. The AWS Lambda execution environment contains a number of libraries. For the Node.js and Python runtimes, these include the AWS SDKs. To enable the latest set of features and security updates, Lambda will periodically update these libraries. These updates may introduce subtle changes to the behavior of your Lambda function. To have full control of the dependencies your function uses, package all of your dependencies with your deployment package.
-
Minimize the complexity of your dependencies. Prefer simpler frameworks that load quickly on execution environment startup.
-
Minimize your deployment package size to its runtime necessities. This will reduce the amount of time that it takes for your deployment package to be downloaded and unpacked ahead of invocation.
-
Take advantage of execution environment reuse to improve the performance of your function. Initialize SDK clients and database connections outside of the function handler, and cache static assets locally in the
/tmp
directory. Subsequent invocations processed by the same instance of your function can reuse these resources. This saves cost by reducing function run time.To avoid potential data leaks across invocations, don’t use the execution environment to store user data, events, or other information with security implications. If your function relies on a mutable state that can’t be stored in memory within the handler, consider creating a separate function or separate versions of a function for each user.
-
Use a keep-alive directive to maintain persistent connections. Lambda purges idle connections over time. Attempting to reuse an idle connection when invoking a function will result in a connection error. To maintain your persistent connection, use the keep-alive directive associated with your runtime. For an example, see Reusing Connections with Keep-Alive in Node.js.
-
Use environment variables to pass operational parameters to your function. For example, if you are writing to an Amazon S3 bucket, instead of hard-coding the bucket name you are writing to, configure the bucket name as an environment variable.
-
Avoid using recursive invocations in your Lambda function, where the function invokes itself or initiates a process that may invoke the function again. This could lead to unintended volume of function invocations and escalated costs. If you see an unintended volume of invocations, set the function reserved concurrency to
0
immediately to throttle all invocations to the function, while you update the code. -
Do not use non-documented, non-public APIs in your Lambda function code. For AWS Lambda managed runtimes, Lambda periodically applies security and functional updates to Lambda's internal APIs. These internal API updates may be backwards-incompatible, leading to unintended consequences such as invocation failures if your function has a dependency on these non-public APIs. See the API reference for a list of publicly available APIs.
-
Write idempotent code. Writing idempotent code for your functions ensures that duplicate events are handled the same way. Your code should properly validate events and gracefully handle duplicate events. For more information, see How do I make my Lambda function idempotent?
.