EventSourceMappingConfiguration
import type { EventSourceMappingConfiguration } from "https://aws-api.deno.dev/v0.4/services/lambda.ts?docs=full";
A mapping between an Amazon Web Services resource and a Lambda function. For details, see "CreateEventSourceMapping".
§Properties
Specific configuration settings for an Amazon Managed Streaming for Apache Kafka (Amazon MSK) event source.
The maximum number of records in each batch that Lambda pulls from your stream or queue and sends to your function. Lambda passes all of the records in the batch to the function in a single call, up to the payload limit for synchronous invocation (6 MB).
Default value: Varies by service. For Amazon SQS, the default is 10. For all other services, the default is 100.
Related setting: When you set BatchSize
to a value greater than 10, you must set MaximumBatchingWindowInSeconds
to at least 1.
(Streams only) If the function returns an error, split the batch in two and retry. The default value is false.
(Streams only) An Amazon SQS queue or Amazon SNS topic destination for discarded records.
An object that defines the filter criteria that determine whether Lambda should process an event. For more information, see Lambda event filtering.
(Streams and Amazon SQS) A list of current response type enums applied to the event source mapping.
The date that the event source mapping was last updated or that its state changed.
The result of the last Lambda invocation of your function.
The maximum amount of time, in seconds, that Lambda spends gathering records before invoking the function.
You can configure MaximumBatchingWindowInSeconds
to any value from 0 seconds to 300 seconds in increments of seconds.
For streams and Amazon SQS event sources, the default batching window is 0 seconds.
For Amazon MSK, Self-managed Apache Kafka, and Amazon MQ event sources, the default batching window is 500 ms.
Note that because you can only change MaximumBatchingWindowInSeconds
in increments of seconds, you cannot revert back to the 500 ms default batching window after you have changed it.
To restore the default batching window, you must create a new event source mapping.
Related setting: For streams and Amazon SQS event sources, when you set BatchSize
to a value greater than 10, you must set MaximumBatchingWindowInSeconds
to at least 1.
(Streams only) Discard records older than the specified age. The default value is -1, which sets the maximum age to infinite. When the value is set to infinite, Lambda never discards old records.
(Streams only) Discard records after the specified number of retries. The default value is -1, which sets the maximum number of retries to infinite. When MaximumRetryAttempts is infinite, Lambda retries failed records until the record expires in the event source.
(Streams only) The number of batches to process concurrently from each shard. The default value is 1.
(Amazon MQ) The name of the Amazon MQ broker destination queue to consume.
(Amazon SQS only) The scaling configuration for the event source. For more information, see Configuring maximum concurrency for Amazon SQS event sources.
The self-managed Apache Kafka cluster for your event source.
Specific configuration settings for a self-managed Apache Kafka event source.
An array of the authentication protocol, VPC components, or virtual host to secure and define your event source.
The position in a stream from which to start reading.
Required for Amazon Kinesis, Amazon DynamoDB, and Amazon MSK stream sources.
AT_TIMESTAMP
is supported only for Amazon Kinesis streams.
With StartingPosition
set to AT_TIMESTAMP
, the time from which to start reading.
The state of the event source mapping.
It can be one of the following: Creating
, Enabling
, Enabled
, Disabling
, Disabled
, Updating
, or Deleting
.
Indicates whether a user or Lambda made the last change to the event source mapping.