# Funqy AWS Lambda Binding

The guide walks through quickstart code to show you how you can deploy Funqy functions to AWS Lambda.

Funqy functions can be deployed using the AWS Lambda Java Runtime, or you can build a native executable and use Lambda Custom Runtime if you want a smaller memory footprint and faster cold boot startup time.

| This technology is considered preview. In preview, backward compatibility and presence in the ecosystem is not guaranteed. Specific improvements might require changing configuration or APIs, and plans to become stable are under way. Feedback is welcome on our mailing list or as issues in our GitHub issue tracker. For a full list of possible statuses, check our FAQ entry.

## Prerequisites

To complete this guide, you need:

- Roughly 30 minutes

- An IDE

- JDK 17+ installed with `JAVA_HOME` configured appropriately

- Apache Maven 3.9.9

- Optionally the Quarkus CLI if you want to use it

- Optionally Mandrel or GraalVM installed and configured appropriately if you want to build a native executable (or Docker if you use a native container build)

- Read about Funqy Basics. This is a short read!

- An Amazon AWS account

- AWS CLI

- AWS SAM CLI, for local testing

| Funqy AWS Lambdas build off of our Quarkus AWS Lambda support.

## Installing AWS bits

Installing all the AWS bits is probably the most difficult thing about this guide. Make sure that you follow all the steps for installing AWS CLI.

## The Quickstart

Clone the Git repository: `git clone https://github.com/quarkusio/quarkus-quickstarts.git`, or download an archive.

The solution is located in the `funqy-amazon-lambda-quickstart` directory.

## The Code

There is nothing special about the code and more importantly nothing AWS specific. Funqy functions can be deployed to many environments and AWS Lambda is one of them. The Java code is actually the same exact code as the funqy-http-quickstart.

## Choose Your Function

Only one Funqy function can be exported per AWS Lambda deployment. If you have multiple functions defined within your project, then you will need to choose the function within your Quarkus `application.properties`:

    quarkus.funqy.export=greet

You can see how the quickstart has done it within its own application.properties.

Alternatively, you can set the `QUARKUS_FUNQY_EXPORT` environment variable when you create the AWS Lambda using the `aws` cli.

## Deploy to AWS Lambda Java Runtime

There are a few steps to get your Funqy function running on AWS Lambda. The quickstart maven project generates a helpful script to create, update, delete, and invoke your functions for pure Java and native deployments. This script is generated at build time.

## Build and Deploy

Build the project using Maven:

CLI

    quarkus build

Maven

    ./mvnw install

This will compile and package your code.

## Create an Execution Role

View the Getting Started Guide for deploying a lambda with AWS CLI. Specifically, make sure you have created an `Execution Role`. You will need to define a `LAMBDA_ROLE_ARN` environment variable in your profile or console window, Alternatively, you can edit the `manage.sh` script that is generated by the build and put the role value directly there:

    LAMBDA_ROLE_ARN="arn:aws:iam::1234567890:role/lambda-role"

## Extra Build Generated Files

After you run the build, there are a few extra files generated by the `quarkus-funqy-amazon-lambda` extension. These files are in the build directory: `target/` for maven, `build/` for gradle.

- `function.zip` - lambda deployment file

- `manage.sh` - wrapper around aws lambda cli calls

- `bootstrap-example.sh` - example bootstrap script for native deployments

- `sam.jvm.yaml` - (optional) for use with sam cli and local testing

- `sam.native.yaml` - (optional) for use with sam cli and native local testing

## Create the function

The `target/manage.sh` script is for managing your Funqy function using the AWS Lambda Java runtime. This script is provided only for your convenience. Examine the output of the `manage.sh` script if you want to learn what aws commands are executed to create, delete, and update your functions.

`manage.sh` supports four operation: `create`, `delete`, `update`, and `invoke`.

| To verify your setup, that you have the AWS CLI installed, executed aws configure for the AWS access keys, and set up the `LAMBDA_ROLE_ARN` environment variable (as described above), please execute `manage.sh` without any parameters. A usage statement will be printed to guide you accordingly.

To see the `usage` statement, and validate AWS configuration:

    sh target/manage.sh

You can `create` your function using the following command:

    sh target/manage.sh create

or if you do not have `LAMBDA_ROLE_ARN` already defined in this shell:

    LAMBDA_ROLE_ARN="arn:aws:iam::1234567890:role/lambda-role" sh target/manage.sh create

| Do not change the handler switch. This must be hardcoded to `io.quarkus.funqy.lambda.FunqyStreamHandler::handleRequest`. This special handler is Funqy’s integration point with AWS Lambda.

If there are any problems creating the function, you must delete it with the `delete` function before re-running the `create` command.

    sh target/manage.sh delete

Commands may also be stacked:

    sh target/manage.sh delete create

## Invoke the function

Use the `invoke` command to invoke your function.

    sh target/manage.sh invoke

The example function takes input passed in via the `--payload` switch which points to a json file in the root directory of the project.

The function can also be invoked locally with the SAM CLI like this:

    sam local invoke --template target/sam.jvm.yaml --event payload.json

If you are working with your native image build, simply replace the template name with the native version:

    sam local invoke --template target/sam.native.yaml --event payload.json

## Update the function

You can update the Java code as you see fit. Once you’ve rebuilt, you can redeploy your function by executing the `update` command.

    sh target/manage.sh update

## Deploy to AWS Lambda Custom (native) Runtime

If you want a lower memory footprint and faster initialization times for your Funqy function, you can compile your Java code to a native executable. Just make sure to rebuild your project with the `-Dnative` switch.

For Linux hosts execute:

CLI

    quarkus build --native

Maven

    ./mvnw install -Dnative

| If you are building on a non-Linux system, you will need to also pass in a property instructing Quarkus to use a Docker build as Amazon Lambda requires Linux binaries. You can do this by passing this property to your build: `-Dnative-image.docker-build=true`. This requires you to have Docker installed locally, however.

CLI

    quarkus build --native --no-tests -Dquarkus.native.container-build=true
    # The --no-tests flag is required only on Windows and macOS.

Maven

    ./mvnw install -Dnative -DskipTests -Dquarkus.native.container-build=true

Either of these commands will compile and create a native executable. It also generates a zip file `target/function.zip`. This zip file contains your native executable image renamed to `bootstrap`. This is a requirement of the AWS Lambda Custom (Provided) Runtime.

The instructions here are exactly as above with one change: you’ll need to add `native` as the first parameter to the `manage.sh` script:

    sh target/manage.sh native create

As above, commands can be stacked. The only requirement is that `native` be the first parameter should you wish to work with native image builds. The script will take care of the rest of the details necessary to manage your native image function deployments.

Examine the output of the `manage.sh` script if you want to learn what aws commands are executed to create, delete, and update your functions.

One thing to note about the create command for native is that the `aws lambda create-function` call must set a specific environment variable:

    --environment 'Variables={DISABLE_SIGNAL_HANDLERS=true}'

## Examine the POM

There is nothing special about the POM other than the inclusion of the `quarkus-funqy-amazon-lambda` extension as a dependency. The extension automatically generates everything you might need for your lambda deployment.

## Integration Testing

Funqy AWS Lambda support leverages the Quarkus AWS Lambda test framework so that you can unit tests your Funqy functions. This is true for both JVM and native modes. This test framework provides similar functionality to the SAM CLI, without the overhead of Docker.

If you open up FunqyTest.java you’ll see that the test replicates the AWS execution environment.

    package org.acme.funqy;

    import io.quarkus.amazon.lambda.test.LambdaClient;
    import io.quarkus.test.junit.QuarkusTest;
    import org.junit.jupiter.api.Assertions;
    import org.junit.jupiter.api.Test;

    @QuarkusTest
    public class FunqyTest {
        @Test
        public void testSimpleLambdaSuccess() throws Exception {
            Friend friend = new Friend("Bill");
            Greeting out = LambdaClient.invoke(Greeting.class, friend);
            Assertions.assertEquals("Hello Bill", out.getMessage());
        }
    }

## Testing with the SAM CLI

The AWS SAM CLI allows you to run your functions locally on your laptop in a simulated Lambda environment. This requires docker to be installed. This is an optional approach should you choose to take advantage of it. Otherwise, the Quarkus JUnit integration should be sufficient for most of your needs.

A starter template has been generated for both JVM and native execution modes.

Run the following SAM CLI command to locally test your function, passing the appropriate SAM `template`. The `event` parameter takes any JSON file, in this case the sample `payload.json`.

    sam local invoke --template target/sam.jvm.yaml --event payload.json

The native image can also be locally tested using the `sam.native.yaml` template:

    sam local invoke --template target/sam.native.yaml --event payload.json

## Modifying `function.zip`

There are times when you may have to add additional entries to the `function.zip` lambda deployment that is generated by the build. To do this, create a `zip.jvm` or `zip.native` directory within `src/main`. Create `zip.jvm/` if you are doing a pure Java. `zip.native/` if you are doing a native deployment.

Any you files and directories you create under your zip directory will be included within `function.zip`

## Custom `bootstrap` script

There are times you may want to set specific system properties or other arguments when lambda invokes your native Funqy deployment. If you include a `bootstrap` script file within `zip.native`, the Funqy extension will automatically rename the executable to `runner` within `function.zip` and set the unix mode of the `bootstrap` script to executable.

| The native executable must be referenced as `runner` if you include a custom `bootstrap` script.

The extension generates an example script within `target/bootstrap-example.sh`.