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spring-cloud-function/spring-cloud-function-adapters/spring-cloud-function-adapter-aws
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////
DO NOT EDIT THIS FILE. IT WAS GENERATED.
Manual changes to this file will be lost when it is generated again.
Edit the files in the src/main/asciidoc/ directory instead.
////

This project provides an adapter layer for a Spring Cloud Function application onto AWS Lambda. You can write an app with a single `@Bean` of type `Function`, `Consumer` or `Supplier` and it will be deployable in AWS if you get the JAR file laid out right. The best way to make it work is to include `spring-cloud-function-context` as a dependency, but not the higher level adapters (e.g. `spring-cloud-function-stream`).

The adapter has a couple of generic request handlers that you can use. The most generic is `SpringBootStreamHandler`, which uses a Jackson `ObjectMapper` provided by Spring Boot to serialize and deserialize the objects in the function. There is also a `SpringBootRequestHandler` which you can extend, and provide the input and output types as type parameters (enabling AWS to inspect the class and do the JSON conversions itself).

If your app has more than one `@Bean` of type `Function` etc. then you can choose the one to use by configuring `function.name` (e.g. as `FUNCTION_NAME` environment variable in AWS). The functions are extracted from the Spring Cloud `FunctionCatalog` (searching first for `Function` then `Consumer` and finally `Supplier`).

== Notes on JAR Layout

You don't need the Spring Cloud Function Web or Stream adapter at runtime in Lambda, so you might
need to exclude those before you create the JAR you send to AWS. A Lambda application has to be
shaded, but a Spring Boot standalone application does not, so you can run the same app using 2
separate jars (as per the sample). The sample app creates 2 jar files, one with an `aws`
classifier for deploying in Lambda, and one executable (thin) jar that includes `spring-cloud-function-web`
at runtime. Spring Cloud Function will try and locate a "main class" for you from the JAR file
manifest, using the `Start-Class` attribute (which will be added for you by the Spring Boot
tooling if you use the starter parent). If there is no `Start-Class` in your manifest you can
use an environment variable or system property `MAIN_CLASS` when you deploy the function to AWS.

If you are not using the functional bean definitions but relying on Spring Boot's auto-configuration,
then additional transformers must be configured as part of the maven-shade-plugin execution.

[source, xml]
----
<plugin>
	<groupId>org.apache.maven.plugins</groupId>
	<artifactId>maven-shade-plugin</artifactId>
	<dependencies>
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-maven-plugin</artifactId>
		</dependency>
	</dependencies>
	<configuration>
		<createDependencyReducedPom>false</createDependencyReducedPom>
		<shadedArtifactAttached>true</shadedArtifactAttached>
		<shadedClassifierName>aws</shadedClassifierName>
		<transformers>
			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
				<resource>META-INF/spring.handlers</resource>
			</transformer>
			<transformer implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
				<resource>META-INF/spring.factories</resource>
			</transformer>
			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
				<resource>META-INF/spring.schemas</resource>
			</transformer>
		</transformers>
	</configuration>
</plugin>
----

== Upload

Build the sample under `spring-cloud-function-samples/function-sample-aws` and upload the `-aws` jar file to Lambda. The handler can be `example.Handler` or `org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler` (FQN of the class, _not_ a method reference, although Lambda does accept method references).

----
./mvnw -U clean package
----

Using the AWS command line tools it looks like this:

----
aws lambda create-function --function-name Uppercase --role arn:aws:iam::[USERID]:role/service-role/[ROLE] --zip-file fileb://function-sample-aws/target/function-sample-aws-2.0.0.BUILD-SNAPSHOT-aws.jar --handler org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler --description "Spring Cloud Function Adapter Example" --runtime java8 --region us-east-1 --timeout 30 --memory-size 1024 --publish
----

The input type for the function in the AWS sample is a Foo with a single property called "value". So you would need this to test it:

----
{
  "value": "test"
}
----

NOTE: The AWS sample app is written in the "functional" style (as an `ApplicationContextInitializer`). This is much faster on startup in Lambda than the traditional `@Bean` style, so if you don't need `@Beans` (or `@EnableAutoConfiguration`) it's a good choice. Warm starts are not affected.


== Type Conversion

Spring Cloud Function will attempt to transparently handle type conversion between the raw
input stream and types declared by your function.

For example, if your function signature is as such `Function<Foo, Bar>` we will attempt to convert
incoming stream event to an instance of `Foo`.

In the event type is not known or can not be determined (e.g., `Function<?, ?>`) we will attempt to
convert an incoming stream event to a generic `Map`.

==== Raw Input

There are times when you may want to have access to a raw input. In this case all you need is to declare your
function signature to accept `InputStream`. For example, `Function<InputStream, ?>`. In this case
we will not attempt any conversion and will pass the raw input directly to a function.