An AWS Lambda layer to enable Java 17 support
- Download java17layer.zip
- Create a Lambda layer using Code.fromAsset
java17layer.zip - Note you might need to adjust the path for your own project structure
LayerVersion java17layer = new LayerVersion(this, "Java17Layer", LayerVersionProps.builder()
.layerVersionName("Java17Layer")
.description("Java 17")
.compatibleRuntimes(Arrays.asList(Runtime.PROVIDED_AL2))
.code(Code.fromAsset("java17layer.zip"))
.build());- Create a function using the PROVIDED_AL2 runtime.
- Add this layer to your function.
Function exampleWithLayer = new Function(this, "ExampleWithLayer", FunctionProps.builder()
.functionName("example-with-layer")
.description("example-with-layer")
.handler("example.HelloWorld::handleRequest")
.runtime(Runtime.PROVIDED_AL2)
.code(Code.fromAsset("../software/ExampleFunction/target/example.jar"))
.memorySize(512)
.logRetention(RetentionDays.ONE_WEEK)
.layers(singletonList(java17layer))
.build());A custom JRE is created to reduce final file size. Lambda has a 250MB unzipped file size limit.
Dockerfile describes how the JRE is built.
The following JVM settings are added by default.
--add-opens java.base/java.util=ALL-UNNAMED
-XX:+TieredCompilation -XX:TieredStopAtLevel=1
-Xshare:on
Further suggestions welcomed
aws-lambda-java-runtime-interface-client-1.1.0.jar
aws-lambda-java-core-1.2.1.jar
aws-lambda-java-serialization-1.0.0.jar
$LAMBDA_TASK_ROOT
$LAMBDA_TASK_ROOT/*
$LAMBDA_TASK_ROOT/lib/*
- Docker
- Run
build-jre.shto build the minimal Java 17 runtime - Run
make-layer.shto package the runtime, dependencies and bootstrap as a zip