ManagedKafkaEventSourceProps

class aws_cdk.aws_lambda_event_sources.ManagedKafkaEventSourceProps(*, starting_position, batch_size=None, enabled=None, max_batching_window=None, provisioned_poller_config=None, topic, consumer_group_id=None, filter_encryption=None, filters=None, on_failure=None, secret=None, cluster_arn)

Bases: KafkaEventSourceProps

Properties for a MSK event source.

Parameters:
  • starting_position (StartingPosition) – Where to begin consuming the stream.

  • batch_size (Union[int, float, None]) – The largest number of records that AWS Lambda will retrieve from your event source at the time of invoking your function. Your function receives an event with all the retrieved records. Valid Range: - Minimum value of 1 - Maximum value of: - 1000 for DynamoEventSource - 10000 for KinesisEventSource, ManagedKafkaEventSource and SelfManagedKafkaEventSource Default: 100

  • enabled (Optional[bool]) – If the stream event source mapping should be enabled. Default: true

  • max_batching_window (Optional[Duration]) – The maximum amount of time to gather records before invoking the function. Maximum of Duration.minutes(5). Default: - Duration.seconds(0) for Kinesis, DynamoDB, and SQS event sources, Duration.millis(500) for MSK, self-managed Kafka, and Amazon MQ.

  • provisioned_poller_config (Union[ProvisionedPollerConfig, Dict[str, Any], None]) – Configuration for provisioned pollers that read from the event source. When specified, allows control over the minimum and maximum number of pollers that can be provisioned to process events from the source. Default: - no provisioned pollers

  • topic (str) – The Kafka topic to subscribe to.

  • consumer_group_id (Optional[str]) – The identifier for the Kafka consumer group to join. The consumer group ID must be unique among all your Kafka event sources. After creating a Kafka event source mapping with the consumer group ID specified, you cannot update this value. The value must have a lenght between 1 and 200 and full the pattern ‘[a-zA-Z0-9-/:_+=.@-]’. Default: - none

  • filter_encryption (Optional[IKey]) – Add Customer managed KMS key to encrypt Filter Criteria. Default: - none

  • filters (Optional[Sequence[Mapping[str, Any]]]) – Add filter criteria to Event Source. Default: - none

  • on_failure (Optional[IEventSourceDlq]) – Add an on Failure Destination for this Kafka event. SNS/SQS/S3 are supported Default: - discarded records are ignored

  • secret (Optional[ISecret]) – The secret with the Kafka credentials, see https://docs.aws.amazon.com/msk/latest/developerguide/msk-password.html for details This field is required if your Kafka brokers are accessed over the Internet. Default: none

  • cluster_arn (str) – An MSK cluster construct.

ExampleMetadata:

infused

Example:

from aws_cdk.aws_secretsmanager import Secret
from aws_cdk.aws_lambda_event_sources import ManagedKafkaEventSource

# my_function: lambda.Function


# Your MSK cluster arn
cluster_arn = "arn:aws:kafka:us-east-1:0123456789019:cluster/SalesCluster/abcd1234-abcd-cafe-abab-9876543210ab-4"

# The Kafka topic you want to subscribe to
topic = "some-cool-topic"

# The secret that allows access to your MSK cluster
# You still have to make sure that it is associated with your cluster as described in the documentation
secret = Secret(self, "Secret", secret_name="AmazonMSK_KafkaSecret")
my_function.add_event_source(ManagedKafkaEventSource(
    cluster_arn=cluster_arn,
    topic=topic,
    secret=secret,
    batch_size=100,  # default
    starting_position=lambda_.StartingPosition.TRIM_HORIZON
))

Attributes

batch_size

The largest number of records that AWS Lambda will retrieve from your event source at the time of invoking your function.

Your function receives an event with all the retrieved records.

Valid Range:

  • Minimum value of 1

  • Maximum value of:

    • 1000 for DynamoEventSource

    • 10000 for KinesisEventSource, ManagedKafkaEventSource and SelfManagedKafkaEventSource

Default:

100

cluster_arn

An MSK cluster construct.

consumer_group_id

The identifier for the Kafka consumer group to join.

The consumer group ID must be unique among all your Kafka event sources. After creating a Kafka event source mapping with the consumer group ID specified, you cannot update this value. The value must have a lenght between 1 and 200 and full the pattern ‘[a-zA-Z0-9-/:_+=.@-]’.

Default:
  • none

See:

https://docs.aws.amazon.com/lambda/latest/dg/with-msk.html#services-msk-consumer-group-id

enabled

If the stream event source mapping should be enabled.

Default:

true

filter_encryption

Add Customer managed KMS key to encrypt Filter Criteria.

Default:
  • none

See:

https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#aws-managed-cmk

filters

Add filter criteria to Event Source.

Default:
  • none

See:

https://docs.aws.amazon.com/lambda/latest/dg/invocation-eventfiltering.html

max_batching_window

The maximum amount of time to gather records before invoking the function.

Maximum of Duration.minutes(5).

Default:
  • Duration.seconds(0) for Kinesis, DynamoDB, and SQS event sources, Duration.millis(500) for MSK, self-managed Kafka, and Amazon MQ.

See:

https://docs.aws.amazon.com/lambda/latest/dg/invocation-eventsourcemapping.html#invocation-eventsourcemapping-batching

on_failure

Add an on Failure Destination for this Kafka event.

SNS/SQS/S3 are supported

Default:
  • discarded records are ignored

provisioned_poller_config

Configuration for provisioned pollers that read from the event source.

When specified, allows control over the minimum and maximum number of pollers that can be provisioned to process events from the source.

Default:
  • no provisioned pollers

secret

//docs.aws.amazon.com/msk/latest/developerguide/msk-password.html for details This field is required if your Kafka brokers are accessed over the Internet.

Default:

none

Type:

The secret with the Kafka credentials, see https

starting_position

Where to begin consuming the stream.

topic

The Kafka topic to subscribe to.