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Chapter 9. AWS Lambda Sink


Send a payload to an AWS Lambda function.

9.1. Authentication methods

In this Kamelet you can avoid using explicit static credentials by specifying the useDefaultCredentialsProvider option and set it to true.

The order of evaluation for Default Credentials Provider is the following:

  • Java system properties - aws.accessKeyId and aws.secretKey.
  • Environment variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.
  • Web Identity Token from AWS STS.
  • The shared credentials and config files.
  • Amazon ECS container credentials - loaded from the Amazon ECS if the environment variable AWS_CONTAINER_CREDENTIALS_RELATIVE_URI is set.
  • Amazon EC2 Instance profile credentials.

You can also use the Profile Credentials Provider, by setting the useProfileCredentialsProvider option to true and profileCredentialsName to the profile name.

Only one of access key/secret key or default credentials provider could be used

For more information, see the AWS credentials documentation

9.2. Configuration Options

The following table summarizes the configuration options available for the aws-lambda-sink Kamelet:

Expand
PropertyNameDescriptionTypeDefaultExample

function *

Function Name

The Lambda Function name.

string

  

region *

AWS Region

The AWS region to access.

string

  

accessKey

Access Key

The access key obtained from AWS.

string

  

profileCredentialsName

Profile Credentials Name

If using a profile credentials provider this parameter sets the profile name.

string

  

secretKey

Secret Key

The secret key obtained from AWS.

string

  

sessionToken

Session Token

Amazon AWS Session Token used when the user needs to assume a IAM role.

string

  

useDefaultCredentialsProvider

Default Credentials Provider

If true, the Lambda client loads credentials through a default credentials provider. If false, it uses the basic authentication method (access key and secret key).

boolean

False

 

useProfileCredentialsProvider

Profile Credentials Provider

Set whether the Lambda client should expect to load credentials through a profile credentials provider.

boolean

False

 

useSessionCredentials

Session Credentials

Set whether the Lambda client should expect to use Session Credentials. This is useful in situation in which the user needs to assume a IAM role for doing operations in Lambda.

boolean

False

 

* = Fields marked with an asterisk are mandatory.

9.3. Dependencies

9.3.1. Quarkus dependencies

<dependencies>
  <dependency>
    <groupId>org.apache.camel.kamelets</groupId>
    <artifactId>camel-kamelets-utils</artifactId>
    <version>4.8.5</version>
  </dependency>
  <dependency>
    <groupId>org.apache.camel.quarkus</groupId>
    <artifactId>camel-quarkus-aws-lambda</artifactId>
  </dependency>
  <dependency>
    <groupId>org.apache.camel.quarkus</groupId>
    <artifactId>camel-quarkus-aws2-lambdan</artifactId>
  </dependency>
  <dependency>
    <groupId>org.apache.camel.quarkus</groupId>
    <artifactId>camel-quarkus-kamelet</artifactId>
  </dependency>
</dependencies>
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9.4. Usage

9.4.1. Camel JBang usage

9.4.1.1. Prerequisites for JBang

  • Install JBang.
  • You have executed the following command:

    jbang app install camel@apache/camel
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9.4.1.2. Running a route with JBang

Suppose you have a file named route.yaml with this content:

- route:
    from:
      uri: "kamelet:timer-source"
      parameters:
        period: 10000
        message: 'test'
      steps:
        - to:
            uri: "kamelet:log-sink"
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You can now run it directly through the following command.

camel run route.yaml
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9.4.2. Knative Sink

You can use the aws-lambda-sink Kamelet as a Knative sink by binding it to a Knative object.

aws-lambda-sink-binding.yaml

apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: aws-lambda-sink-binding
spec:
  source:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: aws-lambda-sink
    properties:
      accessKey: "The Access Key"
      function: "The Function Name"
      region: "eu-west-1"
      secretKey: "The Secret Key"
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9.4.3. Kafka Sink

You can use the aws-lambda-sink Kamelet as a Kafka sink by binding it to a Kafka topic.

aws-lambda-sink-binding.yaml

apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: aws-lambda-sink-binding
spec:
  source:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic
  sink:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: aws-lambda-sink
    properties:
      accessKey: "The Access Key"
      function: "The Function Name"
      region: "eu-west-1"
      secretKey: "The Secret Key"
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9.5. Kamelets source file

https://github.com/jboss-fuse/camel-kamelets/blob/camel-kamelets-4.10.3-branch/kamelets/aws-lambda-sink.kamelet.yaml

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