aws_lambda

Available in: Cloud, Self-Managed

Invokes an AWS lambda for each message. The contents of the message is the payload of the request, and the result of the invocation will become the new contents of the message.

  • Common

  • Advanced

processors:
  label: ""
  aws_lambda:
    parallel: false
    function: "" # No default (required)
processors:
  label: ""
  aws_lambda:
    parallel: false
    function: "" # No default (required)
    rate_limit: ""
    region: "" # No default (optional)
    endpoint: "" # No default (optional)
    tcp:
      connect_timeout: 0s
      keep_alive:
        idle: 15s
        interval: 15s
        count: 9
      tcp_user_timeout: 0s
    credentials:
      profile: "" # No default (optional)
      id: "" # No default (optional)
      secret: "" # No default (optional)
      token: "" # No default (optional)
      from_ec2_role: "" # No default (optional)
      role: "" # No default (optional)
      role_external_id: "" # No default (optional)
    timeout: 5s
    retries: 3

The rate_limit field can be used to specify a rate limit resource to cap the rate of requests across parallel components service wide.

In order to map or encode the payload to a specific request body, and map the response back into the original payload instead of replacing it entirely, you can use the branch processor.

Error handling

When Redpanda Connect is unable to connect to the AWS endpoint or is otherwise unable to invoke the target lambda function it will retry the request according to the configured number of retries. Once these attempts have been exhausted the failed message will continue through the pipeline with it’s contents unchanged, but flagged as having failed, allowing you to use standard processor error handling patterns.

However, if the invocation of the function is successful but the function itself throws an error, then the message will have it’s contents updated with a JSON payload describing the reason for the failure, and a metadata field lambda_function_error will be added to the message allowing you to detect and handle function errors with a branch:

pipeline:
  processors:
    - branch:
        processors:
          - aws_lambda:
              function: foo
        result_map: |
          root = if meta().exists("lambda_function_error") {
            throw("Invocation failed due to %v: %v".format(this.errorType, this.errorMessage))
          } else {
            this
          }
output:
  switch:
    retry_until_success: false
    cases:
      - check: errored()
        output:
          reject: ${! error() }
      - output:
          resource: somewhere_else

Credentials

By default Redpanda Connect will use a shared credentials file when connecting to AWS services. It’s also possible to set them explicitly at the component level, allowing you to transfer data across accounts. You can find out more in Amazon Web Services.

Examples

Branched Invoke

This example uses a branch processor to map a new payload for triggering a lambda function with an ID and username from the original message, and the result of the lambda is discarded, meaning the original message is unchanged.

pipeline:
  processors:
    - branch:
        request_map: '{"id":this.doc.id,"username":this.user.name}'
        processors:
          - aws_lambda:
              function: trigger_user_update

Fields

credentials

Optional manual configuration of AWS credentials to use. More information can be found in Amazon Web Services.

Type: object

credentials.from_ec2_role

Use the credentials of a host EC2 machine configured to assume an IAM role associated with the instance.

Type: bool

credentials.id

The ID of credentials to use.

Type: string

credentials.profile

A profile from ~/.aws/credentials to use.

Type: string

credentials.role

A role ARN to assume.

Type: string

credentials.role_external_id

An external ID to provide when assuming a role.

Type: string

credentials.secret

The secret for the credentials being used.

This field contains sensitive information that usually shouldn’t be added to a configuration directly. For more information, see Manage Secrets before adding it to your configuration.

Type: string

credentials.token

The token for the credentials being used, required when using short term credentials.

Type: string

endpoint

Allows you to specify a custom endpoint for the AWS API.

Type: string

function

The function to invoke.

Type: string

parallel

Whether messages of a batch should be dispatched in parallel.

Type: bool

Default: false

rate_limit

An optional rate_limit to throttle invocations by.

Type: string

Default: ""

region

The AWS region to target.

Type: string

retries

The maximum number of retry attempts for each message.

Type: int

Default: 3

tcp

TCP socket configuration.

Type: object

tcp.connect_timeout

Maximum amount of time a dial will wait for a connect to complete. Zero disables.

Type: string

Default: 0s

tcp.keep_alive

TCP keep-alive probe configuration.

Type: object

tcp.keep_alive.count

Maximum unanswered keep-alive probes before dropping the connection. Zero defaults to 9.

Type: int

Default: 9

tcp.keep_alive.idle

Duration the connection must be idle before sending the first keep-alive probe. Zero defaults to 15s. Negative values disable keep-alive probes.

Type: string

Default: 15s

tcp.keep_alive.interval

Duration between keep-alive probes. Zero defaults to 15s.

Type: string

Default: 15s

tcp.tcp_user_timeout

Maximum time to wait for acknowledgment of transmitted data before killing the connection. Linux-only (kernel 2.6.37+), ignored on other platforms. When enabled, keep_alive.idle must be greater than this value per RFC 5482. Zero disables.

Type: string

Default: 0s

timeout

The maximum period of time to wait before abandoning an invocation.

Type: string

Default: 5s