BaseStreamEventSourceProps

class aws_cdk.aws_lambda_event_sources.BaseStreamEventSourceProps(*, starting_position, batch_size=None, enabled=None, max_batching_window=None, provisioned_poller_config=None)

Bases: object

The set of properties for streaming event sources shared by Dynamo, Kinesis and Kafka.

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

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk as cdk
from aws_cdk import aws_lambda as lambda_
from aws_cdk import aws_lambda_event_sources as lambda_event_sources

base_stream_event_source_props = lambda_event_sources.BaseStreamEventSourceProps(
    starting_position=lambda_.StartingPosition.TRIM_HORIZON,

    # the properties below are optional
    batch_size=123,
    enabled=False,
    max_batching_window=cdk.Duration.minutes(30),
    provisioned_poller_config=lambda_event_sources.ProvisionedPollerConfig(
        maximum_pollers=123,
        minimum_pollers=123
    )
)

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

enabled

If the stream event source mapping should be enabled.

Default:

true

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

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

starting_position

Where to begin consuming the stream.