Lambda

Introduction

AWS Lambda is a Serverless Function as a Service (FaaS) platform that lets you run code in your preferred programming language on the AWS ecosystem. AWS Lambda automatically scales your code to meet demand and handles server provisioning, management, and maintenance. AWS Lambda allows you to break down your application into smaller, independent functions that integrate seamlessly with AWS services.

LocalStack supports Lambda via the Community & Pro/Team offering, allowing you to use the Lambda API to create, deploy, and test your Lambda functions. The supported APIs are available on our Lambda coverage page, which provides information on the extent of Lambda’s integration with LocalStack.

Getting started

This guide is designed for users new to Lambda and assumes basic knowledge of the AWS CLI and our awslocal wrapper script.

Start your LocalStack container using your preferred method. We will demonstrate how to create a Lambda function with a Function URL. With the Function URL property, you can call a Lambda Function via an HTTP API call.

Create a Lambda function

To create a new Lambda function, create a new file called index.js with the following code:

exports.handler = async (event) => {
    let body = JSON.parse(event.body)
    const product = body.num1 * body.num2;
    const response = {
        statusCode: 200,
        body: "The product of " + body.num1 + " and " + body.num2 + " is " + product,
    };
    return response;
};

Enter the following command to create a new Lambda function:

$ zip function.zip index.js
$ awslocal lambda create-function \
    --function-name localstack-lamba-url-example \
    --runtime nodejs18.x \
    --zip-file fileb://function.zip \
    --handler index.handler \
    --role arn:aws:iam::000000000000:role/lambda-role

Create a Function URL

With the Function URL property, there is now a new way to call a Lambda Function via HTTP API call using the CreateFunctionURLConfig API. To create a URL for invoking the function, run the following command:

$ awslocal lambda create-function-url-config \
    --function-name localstack-lamba-url-example \
    --auth-type NONE

This will generate a HTTP URL that can be used to invoke the Lambda function. The URL will be in the format http://<XXXXXXXX>.lambda-url.us-east-1.localhost.localstack.cloud:4566.

Trigger the Lambda function URL

You can now trigger the Lambda function by sending a HTTP POST request to the URL using cURL or your REST HTTP client:

$ curl -X POST \
    'http://<XXXXXXXX>.lambda-url.us-east-1.localhost.localstack.cloud:4566/' \
    -H 'Content-Type: application/json' \
    -d '{"num1": "10", "num2": "10"}'

The following output would be retrieved:

The product of 10 and 10 is 100% 

Special Tools

LocalStack provides various tools to help you develop, debug, and test your AWS Lambda functions more efficiently.

• Hot reloading: With Lambda hot reloading, you can continuously apply code changes to your Lambda functions without needing to redeploy them manually. To learn more about how to use hot reloading with LocalStack, check out our hot reloading documentation.
• Remote debugging: LocalStack’s remote debugging functionality allows you to attach a debugger to your Lambda function using your preferred IDE. To get started with remote debugging in LocalStack, see our debugging documentation.

Lambda Layers

Lambda layers lets you include additional code and dependencies in your Lambda functions. With LocalStack Pro/Team, you can deploy Lambda Layers locally to streamline your development and testing process.

To learn more about Lambda Layers, refer to the AWS documentation on Lambda layers. Here, we’ll focus specifically on how to create Lambda Layers locally in LocalStack Pro/Team.

Creating and invoking a Lambda Layer Locally

To create a Lambda Layer locally, you can use the PublishLayerVersion API in LocalStack. Here’s a simple example using Python:

$ mkdir -p /tmp/python/
$ echo 'def util():' > /tmp/python/testlayer.py
$ echo '  print("Output from Lambda layer util function")' >> /tmp/python/testlayer.py
$ (cd /tmp; zip -r testlayer.zip python)
$ LAYER_ARN=$(awslocal lambda publish-layer-version --layer-name layer1 --zip-file fileb:///tmp/testlayer.zip | jq -r .LayerVersionArn)

Next, define a Lambda function that uses our layer:

$ echo 'def handler(*args, **kwargs):' > /tmp/testlambda.py
$ echo '  import testlayer; testlayer.util()' >> /tmp/testlambda.py
$ echo '  print("Debug output from Lambda function")' >> /tmp/testlambda.py
$ (cd /tmp; zip testlambda.zip testlambda.py)
$ awslocal lambda create-function \
  --function-name func1 \
  --runtime python3.8 \
  --role arn:aws:iam::000000000000:role/lambda-role \
  --handler testlambda.handler \
  --timeout 30 \
  --zip-file fileb:///tmp/testlambda.zip \
  --layers $LAYER_ARN

Here, we’ve defined a Lambda function called handler() that imports the util() function from our layer1 Lambda Layer. We then used the CreateFunction API to create this Lambda function in LocalStack, specifying the layer1 Lambda Layer as a dependency.

To test our Lambda function and see the output from the Lambda Layer, we can invoke the function and check the logs (with DEBUG=1 enabled). Here’s an example:

> START RequestId: a8bc4ce6-e2e8-189e-cf58-c2eb72827c23 Version: $LATEST
> Output from Lambda layer util function
> Debug output from Lambda function
> END RequestId: a8bc4ce6-e2e8-189e-cf58-c2eb72827c23

Referencing Lambda layers from AWS

If your Lambda function references a layer in real AWS, you can integrate it into your local dev environment by making it accessible to the 886468871268 AWS account ID. This account is managed by LocalStack on AWS.

To grant access to your layer, run the following command:

$ aws lambda add-layer-version-permission
  --layer-name test-layer
  --version-number 1
  --statement-id layerAccessFromLocalStack
  --principal 886468871268
  --action lambda:GetLayerVersion

Replace test-layer and 1 with the name and version number of your layer, respectively.

After granting access, the next time you reference the layer in one of your local Lambda functions using the AWS Lambda layer ARN, the layer will be automatically pulled down and integrated into your local dev environment.

Resource Browser

The LocalStack Web Application provides a Resource Browser for managing Lambda resources. You can access the Resource Browser by opening the LocalStack Web Application in your browser, navigating to the Resources section, and then clicking on Lambda under the Compute section.

The Resource Browser displays Functions and Layers resources. You can click on individual resources to view their details.

The Resource Browser allows you to perform the following actions:

• Create Functions & Layers: Create a new Lambda function or a new Lambda Layer by clicking on Create API button on top-right and creating a new configuration by clicking on Submit button.
• View Function & Layer Details: Click on any function or layer to view detailed information such as the resource’s name, ARN, runtime, handler, and more. You can also navigate across different versions of the resource.
• Delete Functions & Layers: To delete a function or layer, select the resource from the Resource Browser, click on the Remove Selected button at the top-right of the screen, and confirm the deletion by clicking on the Continue button.

Migrating to Lambda v2

As part of the LocalStack 2.0 release, the Lambda provider has been migrated to v2 (formerly known as asf). With the new implementation, the following changes have been introduced:

• To run Lambda functions in LocalStack, mount the Docker socket into the LocalStack container. Add the following Docker volume mount to your LocalStack startup configuration: /var/run/docker.sock:/var/run/docker.sock. You can find an example of this configuration in our official docker-compose.yml file.
• The v2 provider discontinues Lambda Executor Modes such as LAMBDA_EXECUTOR=local. Previously, this mode was used as a fallback when the Docker socket was unavailable in the LocalStack container, but many users unintentionally used it instead of the configured LAMBDA_EXECUTOR=docker. The new provider now behaves similarly to the old docker-reuse executor and does not require such configuration.
• The Lambda containers are now reused between invocations. The changes made to the filesystem (such as in /tmp) will persist between subsequent invocations if the function is dispatched to the same container. This is known as a warm start (see Operating Lambda for more information). To ensure that each invocation starts with a fresh container, you can set the LAMBDA_KEEPALIVE_MS configuration option to 0 milliseconds, to force cold starts.
• The platform uses official Docker base images pulled from public.ecr.aws/lambda/, instead of lambci, and supports both arm64 and x86_64 architectures. The Lambda functions filesystem now matches the AWS Lambda production environment. The ARM containers for compatible runtimes are based on Amazon Linux 2, and ARM-compatible hosts can create functions with the arm64 architecture.
• Lambda functions in LocalStack resolve AWS domains, such as s3.amazonaws.com, to the LocalStack container. This domain resolution is DNS-based and can be disabled by setting DNS_ADDRESS=0. For more information, refer to Transparent Endpoint Injection. Previously, LocalStack provided patched AWS SDKs to redirect AWS API calls transparently to LocalStack.
• The new provider may generate more exceptions due to invalid input. For instance, while the old provider accepted arbitrary strings (such as r1) as Lambda roles when creating a function, the new provider validates role ARNs using a regular expression that requires them to be in the format arn:aws:iam::000000000000:role/lambda-role. However, it currently does not verify whether the role actually exists.
• The new Lambda provider now follows the AWS Lambda state model, while creating and updating Lambda functions, which allows for asynchronous processing. Functions are always created in the Pending state and move to Active once they are ready to accept invocations. Previously, the functions were created synchronously by blocking until the function state was active. The configuration LAMBDA_SYNCHRONOUS_CREATE=1 can force synchronous function creation, but it is not recommended.
• LocalStack’s Lambda implementation, allows you to customize the Lambda execution environment using the Lambda Extensions API. This API allows for advanced monitoring, observability, or developer tooling, providing greater control and flexibility over your Lambda functions. Lambda functions can also be run on hosts with multi-architecture support, allowing you to leverage LocalStack’s Lambda API to develop and test Lambda functions with high parity.

The following configuration options from the old provider are discontinued in the new provider:

• The LAMBDA_EXECUTOR and specifically, the LAMBDA_EXECUTOR=local options are no longer supported.
• The LAMBDA_STAY_OPEN_MODE is now the default behavior and can be removed. Instead, use the LAMBDA_KEEPALIVE_MS option to configure how long containers should be kept running in between invocations.
• The LAMBDA_REMOTE_DOCKER option is not used anymore since the new provider automatically copies zip files and configures hot reloading.
• The LAMBDA_CODE_EXTRACT_TIME option is no longer used because function creation is now asynchronous.
• The LAMBDA_DOCKER_DNS, HOSTNAME_FROM_LAMBDA, LAMBDA_FALLBACK_URL, SYNCHRONOUS_KINESIS_EVENTS, SYNCHRONOUS_SNS_EVENTS and LAMBDA_FORWARD_URL options are currently not supported.
• The LAMBDA_CONTAINER_REGISTRY option is not used anymore. Instead, use the more flexible LAMBDA_RUNTIME_IMAGE_MAPPING option to customize individual runtimes.
• The LAMBDA_XRAY_INIT option is no longer needed because the X-Ray daemon is always initialized.

However, the new provider still supports the following configuration options:

• The BUCKET_MARKER_LOCAL option has a new default value, hot-reload. The former default value __local__ is an invalid bucket name.
• The LAMBDA_TRUNCATE_STDOUT option.
• The LAMBDA_DOCKER_NETWORK option.
• The LAMBDA_DOCKER_FLAGS option.
• The LAMBDA_REMOVE_CONTAINERS option.

Examples

The following code snippets and sample applications provide practical examples of how to use Lambda in LocalStack for various use cases:

• Lambda Hot Reloading shows how to use hot reloading to update function code and layers without having to redeploy them.
• Lambda Code Mounting and Debugging demonstrates how to debug Lambda functions locally using code mounting.
• Lambda Function URL shows how to use HTTP to invoke a Lambda function via its Function URL.
• Lambda Layers demonstrates how to use Lambda layers, which are reusable packages of code that can be shared across multiple functions.
• Lambda PHP/Bref shows how to use PHP/Bref with and without fpm, using the Serverless framework and AWS CDK.
• Lambda Container Images demonstrates how to use Lambda functions packaged as container images, which can be built using Docker and pushed to a local ECR registry.
• Lambda XRay Tracing shows how to enable AWS X-Ray tracing for Lambda functions using the Serverless framework.

Troubleshooting

Docker not available

In the old Lambda provider, Lambda functions were executed within the LocalStack container using the local executor mode. This mode was used as a fallback if the Docker socket was unavailable in the LocalStack container. However, many users inadvertently used the local executor mode instead of the intended Docker executor mode, which caused unexpected behavior.

If you encounter the following error message, you may be using the local executor mode:

• LocalStack Logs
• AWS CLI
• SAM

Lambda 'arn:aws:lambda:us-east-1:000000000000:function:my-function:$LATEST' changed to failed. Reason: Docker not available
...
raise DockerNotAvailable("Docker not available")

An error occurred (ResourceConflictException) when calling the Invoke operation (reached max retries: 0): The operation cannot be performed at this time. The function is currently in the following state: Failed

Error: Failed to create/update the stack: sam-app, Waiter StackCreateComplete failed: Waiter encountered a terminal failure state: For expression "Stacks[].StackStatus" we matched expected path: "CREATE_FAILED" at least once

To fix this issue, add the Docker volume mount /var/run/docker.sock:/var/run/docker.sock to your LocalStack startup. Refer to our sample docker-compose.yml file as an example.

Function in Pending state

If you receive a ResourceConflictException when trying to invoke a function, it is currently in a Pending state and cannot be executed yet. To wait until the function becomes active, you can use the following command:

$ awslocal lambda get-function --function-name my-function
An error occurred (ResourceConflictException) when calling the Invoke operation (reached max retries: 0):
The operation cannot be performed at this time.
The function is currently in the following state: Pending

$ awslocal lambda wait function-active-v2 --function-name my-function

Alternatively, you can check the function state using the GetFunction API:

$ awslocal lambda get-function --function-name my-function
{
  "Configuration": {
    ...
    "RevisionId": "c61d6139-1441-4ad5-983a-5a1cec7a1847",
    "State": "Pending",
    "StateReason": "The function is being created.",
    "StateReasonCode": "Creating",
    ...
  }
}

$ awslocal lambda get-function --function-name my-function
{
  "Configuration": {
    ...
    "RevisionId": "c6633a28-b8d2-40f7-b8e1-02f6f32e8473",
    "State": "Active",
    "LastUpdateStatus": "Successful",
    ...
  }
}

If the function is still in the Pending state, the output will include a "State": "Pending" field and a "StateReason": "The function is being created." message. Once the function is active, the "State" field will change to "Active" and the "LastUpdateStatus" field will indicate the status of the last update.

Not implemented error

If you are using LocalStack versions prior to 2.0, and encounter a NotImplementedError in the LocalStack logs and an InternalFailure (501) error in the client while creating a Lambda function using the CreateFunction API, check your PROVIDER_OVERRIDE_LAMBDA configuration. You might encounter this error if it is set to legacy.