aws-cdk.aws-lambda-nodejs1.204.0
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The CDK Construct Library for AWS Lambda in Node.js
pip install aws-cdk-aws-lambda-nodejs
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Requires Python
~=3.7
Amazon Lambda Node.js Library
---AWS CDK v1 has reached End-of-Support on 2023-06-01. This package is no longer being updated, and users should migrate to AWS CDK v2.
For more information on how to migrate, see the Migrating to AWS CDK v2 guide.
This library provides constructs for Node.js Lambda functions.
Node.js Function
The NodejsFunction
construct creates a Lambda function with automatic transpiling and bundling
of TypeScript or Javascript code. This results in smaller Lambda packages that contain only the
code and dependencies needed to run the function.
It uses esbuild under the hood.
Reference project architecture
The NodejsFunction
allows you to define your CDK and runtime dependencies in a single
package.json and to collocate your runtime code with your infrastructure code:
.
├── lib
│ ├── my-construct.api.ts # Lambda handler for API
│ ├── my-construct.auth.ts # Lambda handler for Auth
│ └── my-construct.ts # CDK construct with two Lambda functions
├── package-lock.json # single lock file
├── package.json # CDK and runtime dependencies defined in a single package.json
└── tsconfig.json
By default, the construct will use the name of the defining file and the construct's
id to look up the entry file. In my-construct.ts
above we have:
# automatic entry look up
api_handler = lambda_.NodejsFunction(self, "api")
auth_handler = lambda_.NodejsFunction(self, "auth")
Alternatively, an entry file and handler can be specified:
lambda_.NodejsFunction(self, "MyFunction",
entry="/path/to/my/file.ts", # accepts .js, .jsx, .ts, .tsx and .mjs files
handler="myExportedFunc"
)
For monorepos, the reference architecture becomes:
.
├── packages
│ ├── cool-package
│ │ ├── lib
│ │ │ ├── cool-construct.api.ts
│ │ │ ├── cool-construct.auth.ts
│ │ │ └── cool-construct.ts
│ │ ├── package.json # CDK and runtime dependencies for cool-package
│ │ └── tsconfig.json
│ └── super-package
│ ├── lib
│ │ ├── super-construct.handler.ts
│ │ └── super-construct.ts
│ ├── package.json # CDK and runtime dependencies for super-package
│ └── tsconfig.json
├── package-lock.json # single lock file
├── package.json # root dependencies
└── tsconfig.json
Customizing the underlying Lambda function
All properties of lambda.Function
can be used to customize the underlying lambda.Function
.
See also the AWS Lambda construct library.
The NodejsFunction
construct automatically reuses existing connections
when working with the AWS SDK for JavaScript. Set the awsSdkConnectionReuse
prop to false
to disable it.
Lock file
The NodejsFunction
requires a dependencies lock file (yarn.lock
, pnpm-lock.yaml
or
package-lock.json
). When bundling in a Docker container, the path containing this lock file is
used as the source (/asset-input
) for the volume mounted in the container.
By default, the construct will try to automatically determine your project lock file.
Alternatively, you can specify the depsLockFilePath
prop manually. In this
case you need to ensure that this path includes entry
and any module/dependencies
used by your function. Otherwise bundling will fail.
Local bundling
If esbuild
is available it will be used to bundle your code in your environment. Otherwise,
bundling will happen in a Lambda compatible Docker container
with the Docker platform based on the target architecture of the Lambda function.
For macOS the recommended approach is to install esbuild
as Docker volume performance is really poor.
esbuild
can be installed with:
$ npm install --save-dev esbuild@0
OR
$ yarn add --dev esbuild@0
If you're using a monorepo layout, the esbuild
dependency needs to be installed in the "root" package.json
file,
not in the workspace. From the reference architecture described above, the esbuild
dev dependency needs to be in ./package.json
, not packages/cool-package/package.json
or
packages/super-package/package.json
.
To force bundling in a Docker container even if esbuild
is available in your environment,
set bundling.forceDockerBundling
to true
. This is useful if your function relies on node
modules that should be installed (nodeModules
prop, see below) in a Lambda
compatible environment. This is usually the case with modules using native dependencies.
Working with modules
Externals
By default, all node modules are bundled except for aws-sdk
. This can be configured by specifying
bundling.externalModules
:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
external_modules=["aws-sdk", "cool-module"
]
)
)
Install modules
By default, all node modules referenced in your Lambda code will be bundled by esbuild
.
Use the nodeModules
prop under bundling
to specify a list of modules that should not be
bundled but instead included in the node_modules
folder of the Lambda package. This is useful
when working with native dependencies or when esbuild
fails to bundle a module.
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
node_modules=["native-module", "other-module"]
)
)
The modules listed in nodeModules
must be present in the package.json
's dependencies or
installed. The same version will be used for installation. The lock file (yarn.lock
,
pnpm-lock.yaml
or package-lock.json
) will be used along with the right installer (yarn
,
pnpm
or npm
).
When working with nodeModules
using native dependencies, you might want to force bundling in a
Docker container even if esbuild
is available in your environment. This can be done by setting
bundling.forceDockerBundling
to true
.
Configuring esbuild
The NodejsFunction
construct exposes esbuild options
via properties under bundling
:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
minify=True, # minify code, defaults to false
source_map=True, # include source map, defaults to false
source_map_mode=lambda_.SourceMapMode.INLINE, # defaults to SourceMapMode.DEFAULT
sources_content=False, # do not include original source into source map, defaults to true
target="es2020", # target environment for the generated JavaScript code
loader={ # Use the 'dataurl' loader for '.png' files
".png": "dataurl"},
define={ # Replace strings during build time
"process.env.API_KEY": JSON.stringify("xxx-xxxx-xxx"),
"process.env.PRODUCTION": JSON.stringify(True),
"process.env.NUMBER": JSON.stringify(123)},
log_level=lambda_.LogLevel.SILENT, # defaults to LogLevel.WARNING
keep_names=True, # defaults to false
tsconfig="custom-tsconfig.json", # use custom-tsconfig.json instead of default,
metafile=True, # include meta file, defaults to false
banner="/* comments */", # requires esbuild >= 0.9.0, defaults to none
footer="/* comments */", # requires esbuild >= 0.9.0, defaults to none
charset=lambda_.Charset.UTF8, # do not escape non-ASCII characters, defaults to Charset.ASCII
format=lambda_.OutputFormat.ESM, # ECMAScript module output format, defaults to OutputFormat.CJS (OutputFormat.ESM requires Node.js 14.x)
main_fields=["module", "main"], # prefer ECMAScript versions of dependencies
inject=["./my-shim.js", "./other-shim.js"], # allows to automatically replace a global variable with an import from another file
esbuild_args={ # Pass additional arguments to esbuild
"--log-limit": "0",
"--splitting": True}
)
)
Command hooks
It is possible to run additional commands by specifying the commandHooks
prop:
// This example only available in TypeScript
// Run additional props via `commandHooks`
new lambda.NodejsFunction(this, 'my-handler-with-commands', {
bundling: {
commandHooks: {
beforeBundling(inputDir: string, outputDir: string): string[] {
return [
`echo hello > ${inputDir}/a.txt`,
`cp ${inputDir}/a.txt ${outputDir}`,
];
},
afterBundling(inputDir: string, outputDir: string): string[] {
return [`cp ${inputDir}/b.txt ${outputDir}/txt`];
},
beforeInstall() {
return [];
},
// ...
},
// ...
},
});
The following hooks are available:
beforeBundling
: runs before all bundling commandsbeforeInstall
: runs before node modules installationafterBundling
: runs after all bundling commands
They all receive the directory containing the lock file (inputDir
) and the
directory where the bundled asset will be output (outputDir
). They must return
an array of commands to run. Commands are chained with &&
.
The commands will run in the environment in which bundling occurs: inside the container for Docker bundling or on the host OS for local bundling.
Pre Compilation with TSC
In some cases, esbuild
may not yet support some newer features of the typescript language, such as,
emitDecoratorMetadata
.
In such cases, it is possible to run pre-compilation using tsc
by setting the preCompilation
flag.
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
pre_compilation=True
)
)
Note: A tsconfig.json
file is required
Customizing Docker bundling
Use bundling.environment
to define environments variables when esbuild
runs:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
environment={
"NODE_ENV": "production"
}
)
)
Use bundling.buildArgs
to pass build arguments when building the Docker bundling image:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
build_args={
"HTTPS_PROXY": "https://127.0.0.1:3001"
}
)
)
Use bundling.dockerImage
to use a custom Docker bundling image:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
docker_image=DockerImage.from_build("/path/to/Dockerfile")
)
)
This image should have esbuild
installed globally. If you plan to use nodeModules
it
should also have npm
, yarn
or pnpm
depending on the lock file you're using.
Use the default image provided by @aws-cdk/aws-lambda-nodejs
as a source of inspiration.
Asset hash
By default the asset hash will be calculated based on the bundled output (AssetHashType.OUTPUT
).
Use the assetHash
prop to pass a custom hash:
lambda_.NodejsFunction(self, "my-handler",
bundling=lambda.BundlingOptions(
asset_hash="my-custom-hash"
)
)
If you chose to customize the hash, you will need to make sure it is updated every time the asset changes, or otherwise it is possible that some deployments will not be invalidated.