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# NAME

AWS::Lambda - Perl support for AWS Lambda Custom Runtime.

# SYNOPSIS

Save the following Perl script as `handler.pl`.

    sub handle {
        my ($payload, $context) = @_;
        return $payload;
    }
    1;

and then, zip the script.

    $ zip handler.zip handler.pl

Finally, create new function using awscli.

    $ aws --region "$REGION" --profile "$PROFILE" lambda create-function \
        --function-name "hello-perl" \
        --zip-file "fileb://handler.zip" \
        --handler "handler.handle" \
        --runtime provided.al2023 \
        --role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role \
        --layers "arn:aws:lambda:$REGION:445285296882:layer:perl-5-38-runtime-al2023-x86_64:1"

It also supports [response streaming](https://docs.aws.amazon.com/lambda/latest/dg/configuration-response-streaming.html).

    sub handle {
        my ($payload, $context) = @_;
        return sub {
            my $responder = shift;
            my $writer = $responder->('application/json');
            $writer->write('{"foo": "bar"}');
            $writer->close;
        };
    }

# DESCRIPTION

This package makes it easy to run AWS Lambda Functions written in Perl.

## Use Pre-built Public Lambda Layers

1. Login to your AWS Account and go to the Lambda Console.
2. Create a new function and give it a name and an IAM Role.
3. For the "Runtime" selection, select **Provide your own bootstrap on Amazon Linux 2**.
4. In the "Designer" section of your function dashboard, select the **Layers** box.
5. Scroll down to the "Layers" section and click **Add a layer**.
6. Select the **Provide a layer version ARN** option, then copy/paste the Layer ARN for your region.
7. Click the **Add** button.
8. Click **Save** in the upper right.
9. Upload your code and start using Perl in AWS Lambda!

You can get the layer ARN in your script by using `get_layer_info`.

    use AWS::Lambda;
    my $info = AWS::Lambda::get_layer_info_al2023(
        "5.38",      # Perl Version
        "us-east-1", # Region
        "x86_64",    # Architecture ("x86_64" or "arm64", optional, the default is "x86_64")
    );
    say $info->{runtime_arn};     # arn:aws:lambda:us-east-1:445285296882:layer:perl-5-38-runtime-al2023-x86_64:1
    say $info->{runtime_version}; # 1
    say $info->{paws_arn}         # arn:aws:lambda:us-east-1:445285296882:layer:perl-5-38-paws-al2023-x86_64:1
    say $info->{paws_version}     # 1,

Or, you can use following one-liner.

    perl -MAWS::Lambda -e 'AWS::Lambda::print_runtime_arn_al2023("5.38", "us-east-1")'
    perl -MAWS::Lambda -e 'AWS::Lambda::print_paws_arn_al2023("5.38", "us-east-1")'

The list of all layer ARNs is available on [AWS::Lambda::AL2023](https://metacpan.org/pod/AWS%3A%3ALambda%3A%3AAL2023).

## Use Pre-built Zip Archives

1. Login to your AWS Account and go to the Lambda Console.
2. Create a new layer and give it a name.
3. For the "Code entry type" selection, select **Upload a file from Amazon S3**.
4. In the "License" section, input [https://github.com/shogo82148/p5-aws-lambda/blob/main/LICENSE](https://github.com/shogo82148/p5-aws-lambda/blob/main/LICENSE).
5. Click **Create** button.
6. Use the layer created. For detail, see Use Prebuilt Public Lambda Layer section.

URLs for Zip archives are here.

`https://shogo82148-lambda-perl-runtime-$REGION.s3.amazonaws.com/perl-$VERSION-runtime-al2023-$ARCHITECTURE.zip`

## Use Pre-built Docker Images

Prebuilt Docker Images based on [https://gallery.ecr.aws/lambda/provided](https://gallery.ecr.aws/lambda/provided) are available.
You can pull from [https://gallery.ecr.aws/shogo82148/p5-aws-lambda](https://gallery.ecr.aws/shogo82148/p5-aws-lambda) or [https://hub.docker.com/r/shogo82148/p5-aws-lambda](https://hub.docker.com/r/shogo82148/p5-aws-lambda),
build your custom images and deploy them to AWS Lambda.

Here is an example of Dockerfile.

    FROM shogo82148/p5-aws-lambda:base-5.38.al2023
    # or if you want to use ECR Public.
    # FROM public.ecr.aws/shogo82148/p5-aws-lambda:base-5.38.al2023
    COPY handler.pl /var/task/
    CMD [ "handler.handle" ]

Build the hello-perl container image locally:

    $ docker build -t hello-perl .

To check if this is working, start the container image locally using the Lambda Runtime Interface Emulator:

    $ docker run -p 9000:8080 hello-perl:latest

Now, you can test a function invocation with cURL.

    $ curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{}'

To upload the container image, you need to create a new ECR repository in your account and tag the local image to push it to ECR.

    $ aws ecr create-repository --repository-name hello-perl --image-scanning-configuration scanOnPush=true
    $ docker tag hello-perl:latest 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest
    $ aws ecr get-login-password | docker login --username AWS --password-stdin 123412341234.dkr.ecr.sa-east-1.amazonaws.com
    $ docker push 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest

Finally, create new function using awscli.

    $ aws --region "$REGION" --profile "$PROFILE" lambda create-function \
        --function-name "hello-perl" \
        --code ImageUri=123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest \
        --handler "handler.handle" \
        --runtime provided.al2023 \
        --role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role

## Run in Local using Docker

Prebuilt Docker Images based on [https://hub.docker.com/r/lambci/lambda/](https://hub.docker.com/r/lambci/lambda/) are available.
You can pull from [https://gallery.ecr.aws/shogo82148/p5-aws-lambda](https://gallery.ecr.aws/shogo82148/p5-aws-lambda) or [https://hub.docker.com/r/shogo82148/p5-aws-lambda](https://hub.docker.com/r/shogo82148/p5-aws-lambda),
and build zip archives to deploy.

    # Install the dependency.
    docker run --rm -v $(PWD):/var/task shogo82148/p5-aws-lambda:build-5.38.al2023 \
        cpanm --notest --local-lib extlocal --no-man-pages --installdeps .