This construct library allows you to define AWS Lambda Functions.
import lambda = require('@aws-cdk/aws-lambda');
import path = require('path');
const fn = new lambda.Function(this, 'MyFunction', {
runtime: lambda.Runtime.NODEJS_10_X,
handler: 'index.handler',
code: lambda.Code.fromAsset(path.join(__dirname, 'lambda-handler')),
});
The lambda.Code
class includes static convenience methods for various types of
runtime code.
lambda.Code.fromBucket(bucket, key[, objectVersion])
- specify an S3 object that contains the archive of your runtime code.lambda.Code.fromInline(code)
- inline the handle code as a string. This is limited to supported runtimes and the code cannot exceed 4KiB.lambda.Code.fromAsset(path)
- specify a directory or a .zip file in the local filesystem which will be zipped and uploaded to S3 before deployment.
The following example shows how to define a Python function and deploy the code
from the local directory my-lambda-handler
to it:
Example of Lambda Code from Local Assets
When deploying a stack that contains this code, the directory will be zip archived and then uploaded to an S3 bucket, then the exact location of the S3 objects will be passed when the stack is deployed.
During synthesis, the CDK expects to find a directory on disk at the asset directory specified. Note that we are referencing the asset directory relatively to our CDK project directory. This is especially important when we want to share this construct through a library. Different programming languages will have different techniques for bundling resources into libraries.
When using fromAsset
or fromInline
, you can obtain the hash of source
through the function.codeHash
property. This property will return undefined
if the code hash cannot be calculated during synthesis (e.g. when using code
from an S3 bucket).
You can use versions to manage the deployment of your AWS Lambda functions. For example, you can publish a new version of a function for beta testing without affecting users of the stable production version.
The function version includes the following information:
- The function code and all associated dependencies.
- The Lambda runtime that executes the function.
- All of the function settings, including the environment variables.
- A unique Amazon Resource Name (ARN) to identify this version of the function.
You can define one or more aliases for your AWS Lambda function. A Lambda alias is like a pointer to a specific Lambda function version. Users can access the function version using the alias ARN.
The fn.currentVersion
property can be used to obtain a lambda.Version
resource that represents the AWS Lambda function defined in your application.
Any change to your function's code or configuration will result in the creation
of a new version resource. You can specify options for this version through the
currentVersionOptions
property.
The
currentVersion
property is only supported when your AWS Lambda function uses eitherlambda.Code.fromAsset
orlambda.Code.fromInline
. Other types of code providers (such aslambda.Code.fromBucket
) require that you define alambda.Version
resource directly since the CDK is unable to determine if their contents had changed.
The version.addAlias()
method can be used to define an AWS Lambda alias that
points to a specific version.
The following example defines an alias named live
which will always point to a
version that represents the function as defined in your CDK app. When you change
your lambda code or configuration, a new resource will be created. You can
specify options for the current version through the currentVersionOptions
property.
const fn = new lambda.Function(this, 'MyFunction', {
currentVersionOptions: {
removalPolicy: RemovalPolicy.RETAIN, // retain old versions
retryAttempts: 1 // async retry attempts
}
});
fn.currentVersion.addAlias('live');
NOTE: The
fn.latestVersion
property returns alambda.IVersion
which represents the$LATEST
pseudo-version. Most AWS services require a specific AWS Lambda version, and won't allow you to use$LATEST
. Therefore, you would normally want to uselambda.currentVersion
.
The lambda.LayerVersion
class can be used to define Lambda layers and manage
granting permissions to other AWS accounts or organizations.
You can use an AWS Lambda function as a target for an Amazon CloudWatch event rule:
import targets = require('@aws-cdk/aws-events-targets');
rule.addTarget(new targets.LambdaFunction(myFunction));
AWS Lambda supports a variety of event sources.
In most cases, it is possible to trigger a function as a result of an event by
using one of the add<Event>Notification
methods on the source construct. For
example, the s3.Bucket
construct has an onEvent
method which can be used to
trigger a Lambda when an event, such as PutObject occurs on an S3 bucket.
An alternative way to add event sources to a function is to use function.addEventSource(source)
.
This method accepts an IEventSource
object. The module @aws-cdk/aws-lambda-event-sources
includes classes for the various event sources supported by AWS Lambda.
For example, the following code adds an SQS queue as an event source for a function:
import { SqsEventSource } from '@aws-cdk/aws-lambda-event-sources';
fn.addEventSource(new SqsEventSource(queue));
The following code adds an S3 bucket notification as an event source:
import { S3EventSource } from '@aws-cdk/aws-lambda-event-sources';
fn.addEventSource(new S3EventSource(bucket, {
events: [ s3.EventType.OBJECT_CREATED, s3.EventType.OBJECT_DELETED ],
filters: [ { prefix: 'subdir/' } ] // optional
}));
See the documentation for the @aws-cdk/aws-lambda-event-sources module for more details.
A dead-letter queue can be automatically created for a Lambda function by
setting the deadLetterQueueEnabled: true
configuration.
import lambda = require('@aws-cdk/aws-lambda');
const fn = new lambda.Function(this, 'MyFunction', {
runtime: lambda.Runtime.NODEJS_10_X,
handler: 'index.handler',
code: lambda.Code.fromInline('exports.handler = function(event, ctx, cb) { return cb(null, "hi"); }'),
deadLetterQueueEnabled: true
});
It is also possible to provide a dead-letter queue instead of getting a new queue created:
import lambda = require('@aws-cdk/aws-lambda');
import sqs = require('@aws-cdk/aws-sqs');
const dlq = new sqs.Queue(this, 'DLQ');
const fn = new lambda.Function(this, 'MyFunction', {
runtime: lambda.Runtime.NODEJS_10_X,
handler: 'index.handler',
code: lambda.Code.fromInline('exports.handler = function(event, ctx, cb) { return cb(null, "hi"); }'),
deadLetterQueue: dlq
});
See the AWS documentation to learn more about AWS Lambdas and DLQs.
import lambda = require('@aws-cdk/aws-lambda');
const fn = new lambda.Function(this, 'MyFunction', {
runtime: lambda.Runtime.NODEJS_10_X,
handler: 'index.handler',
code: lambda.Code.fromInline('exports.handler = function(event, ctx, cb) { return cb(null, "hi"); }'),
tracing: lambda.Tracing.ACTIVE
});
See the AWS documentation to learn more about AWS Lambda's X-Ray support.
import lambda = require('@aws-cdk/aws-lambda');
const fn = new lambda.Function(this, 'MyFunction', {
runtime: lambda.Runtime.NODEJS_10_X,
handler: 'index.handler',
code: lambda.Code.fromInline('exports.handler = function(event, ctx, cb) { return cb(null, "hi"); }'),
reservedConcurrentExecutions: 100
});
See the AWS documentation managing concurrency.
Lambda functions automatically create a log group with the name /aws/lambda/<function-name>
upon first execution with
log data set to never expire.
The logRetention
property can be used to set a different expiration period.
It is possible to obtain the function's log group as a logs.ILogGroup
by calling the logGroup
property of the
Function
construct.
Note that, if either logRetention
is set or logGroup
property is called, a CloudFormation custom
resource is added
to the stack that pre-creates the log group as part of the stack deployment, if it already doesn't exist, and sets the
correct log retention period (never expire, by default).
Further note that, if the log group already exists and the logRetention
is not set, the custom resource will reset
the log retention to never expire even if it was configured with a different value.
The SingletonFunction
construct is a way to guarantee that a lambda function will be guaranteed to be part of the stack,
once and only once, irrespective of how many times the construct is declared to be part of the stack. This is guaranteed
as long as the uuid
property and the optional lambdaPurpose
property stay the same whenever they're declared into the
stack.
A typical use case of this function is when a higher level construct needs to declare a Lambda function as part of it but
needs to guarantee that the function is declared once. However, a user of this higher level construct can declare it any
number of times and with different properties. Using SingletonFunction
here with a fixed uuid
will guarantee this.
For example, the LogRetention
construct requires only one single lambda function for all different log groups whose
retention it seeks to manage.
Language-specific higher level constructs are provided in separate modules:
- Node.js:
@aws-cdk/aws-lambda-nodejs