EventSourceMappingProps
- class aws_cdk.aws_lambda.EventSourceMappingProps(*, batch_size=None, bisect_batch_on_error=None, enabled=None, event_source_arn=None, filter_encryption=None, filters=None, kafka_bootstrap_servers=None, kafka_consumer_group_id=None, kafka_topic=None, max_batching_window=None, max_concurrency=None, max_record_age=None, metrics_config=None, on_failure=None, parallelization_factor=None, provisioned_poller_config=None, report_batch_item_failures=None, retry_attempts=None, source_access_configurations=None, starting_position=None, starting_position_timestamp=None, support_s3_on_failure_destination=None, tumbling_window=None, target)
Bases:
EventSourceMappingOptions
Properties for declaring a new event source mapping.
- Parameters:
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 10000. Default: - Amazon Kinesis, Amazon DynamoDB, and Amazon MSK is 100 records. The default for Amazon SQS is 10 messages. For standard SQS queues, the maximum is 10,000. For FIFO SQS queues, the maximum is 10.bisect_batch_on_error (
Optional
[bool
]) – If the function returns an error, split the batch in two and retry. Default: falseenabled (
Optional
[bool
]) – Set to false to disable the event source upon creation. Default: trueevent_source_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the event source. Any record added to this stream can invoke the Lambda function. Default: - not set if using a self managed Kafka cluster, throws an error otherwisefilter_encryption (
Optional
[IKey
]) – Add Customer managed KMS key to encrypt Filter Criteria. Default: - nonefilters (
Optional
[Sequence
[Mapping
[str
,Any
]]]) – Add filter criteria to Event Source. Default: - nonekafka_bootstrap_servers (
Optional
[Sequence
[str
]]) – A list of host and port pairs that are the addresses of the Kafka brokers in a self managed “bootstrap” Kafka cluster that a Kafka client connects to initially to bootstrap itself. They are in the formatabc.example.com:9096
. Default: - nonekafka_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-/:_+=.@-]’. For more information, see Customizable consumer group ID. Default: - nonekafka_topic (
Optional
[str
]) – The name of the Kafka topic. Default: - no topicmax_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)max_concurrency (
Union
[int
,float
,None
]) – The maximum concurrency setting limits the number of concurrent instances of the function that an Amazon SQS event source can invoke. Default: - No specific limit.max_record_age (
Optional
[Duration
]) – The maximum age of a record that Lambda sends to a function for processing. Valid Range: - Minimum value of 60 seconds - Maximum value of 7 days Default: - infinite or until the record expires.metrics_config (
Union
[MetricsConfig
,Dict
[str
,Any
],None
]) – Configuration for enhanced monitoring metrics collection When specified, enables collection of additional metrics for the stream event source. Default: - Enhanced monitoring is disabledon_failure (
Optional
[IEventSourceDlq
]) – An Amazon SQS queue or Amazon SNS topic destination for discarded records. Default: discarded records are ignoredparallelization_factor (
Union
[int
,float
,None
]) – The number of batches to process from each shard concurrently. Valid Range: - Minimum value of 1 - Maximum value of 10 Default: 1provisioned_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 pollersreport_batch_item_failures (
Optional
[bool
]) – Allow functions to return partially successful responses for a batch of records. Default: falseretry_attempts (
Union
[int
,float
,None
]) – The maximum number of times to retry when the function returns an error. Set toundefined
if you want lambda to keep retrying infinitely or until the record expires. Valid Range: - Minimum value of 0 - Maximum value of 10000 Default: - infinite or until the record expires.source_access_configurations (
Optional
[Sequence
[Union
[SourceAccessConfiguration
,Dict
[str
,Any
]]]]) – Specific settings like the authentication protocol or the VPC components to secure access to your event source. Default: - nonestarting_position (
Optional
[StartingPosition
]) – The position in the DynamoDB, Kinesis or MSK stream where AWS Lambda should start reading. Default: - no starting positionstarting_position_timestamp (
Union
[int
,float
,None
]) – The time from which to start reading, in Unix time seconds. Default: - no timestampsupport_s3_on_failure_destination (
Optional
[bool
]) – Check if support S3 onfailure destination(ODF). Currently only MSK and self managed kafka event support S3 ODF Default: falsetumbling_window (
Optional
[Duration
]) – The size of the tumbling windows to group records sent to DynamoDB or Kinesis. Default: - Nonetarget (
IFunction
) – The target AWS Lambda function.
- 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_kms as kms from aws_cdk import aws_lambda as lambda_ # event_source_dlq: lambda.IEventSourceDlq # filters: Any # function_: lambda.Function # key: kms.Key # source_access_configuration_type: lambda.SourceAccessConfigurationType event_source_mapping_props = lambda.EventSourceMappingProps( target=function_, # the properties below are optional batch_size=123, bisect_batch_on_error=False, enabled=False, event_source_arn="eventSourceArn", filter_encryption=key, filters=[{ "filters_key": filters }], kafka_bootstrap_servers=["kafkaBootstrapServers"], kafka_consumer_group_id="kafkaConsumerGroupId", kafka_topic="kafkaTopic", max_batching_window=cdk.Duration.minutes(30), max_concurrency=123, max_record_age=cdk.Duration.minutes(30), metrics_config=lambda.MetricsConfig( metrics=[lambda_.MetricType.EVENT_COUNT] ), on_failure=event_source_dlq, parallelization_factor=123, provisioned_poller_config=lambda.ProvisionedPollerConfig( maximum_pollers=123, minimum_pollers=123 ), report_batch_item_failures=False, retry_attempts=123, source_access_configurations=[lambda.SourceAccessConfiguration( type=source_access_configuration_type, uri="uri" )], starting_position=lambda_.StartingPosition.TRIM_HORIZON, starting_position_timestamp=123, support_s3_on_failure_destination=False, tumbling_window=cdk.Duration.minutes(30) )
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 10000.
- Default:
Amazon Kinesis, Amazon DynamoDB, and Amazon MSK is 100 records.
The default for Amazon SQS is 10 messages. For standard SQS queues, the maximum is 10,000. For FIFO SQS queues, the maximum is 10.
- bisect_batch_on_error
If the function returns an error, split the batch in two and retry.
- Default:
false
- enabled
Set to false to disable the event source upon creation.
- Default:
true
- event_source_arn
The Amazon Resource Name (ARN) of the event source.
Any record added to this stream can invoke the Lambda function.
- Default:
not set if using a self managed Kafka cluster, throws an error otherwise
- filter_encryption
Add Customer managed KMS key to encrypt Filter Criteria.
- filters
Add filter criteria to Event Source.
- kafka_bootstrap_servers
A list of host and port pairs that are the addresses of the Kafka brokers in a self managed “bootstrap” Kafka cluster that a Kafka client connects to initially to bootstrap itself.
They are in the format
abc.example.com:9096
.- Default:
none
- kafka_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-/:_+=.@-]’. For more information, see Customizable consumer group ID.
- kafka_topic
The name of the Kafka topic.
- Default:
no topic
- max_batching_window
The maximum amount of time to gather records before invoking the function.
Maximum of Duration.minutes(5)
- Default:
Duration.seconds(0)
- max_concurrency
The maximum concurrency setting limits the number of concurrent instances of the function that an Amazon SQS event source can invoke.
- Default:
No specific limit.
- See:
Valid Range: Minimum value of 2. Maximum value of 1000.
- max_record_age
The maximum age of a record that Lambda sends to a function for processing.
Valid Range:
Minimum value of 60 seconds
Maximum value of 7 days
- Default:
infinite or until the record expires.
- metrics_config
Configuration for enhanced monitoring metrics collection When specified, enables collection of additional metrics for the stream event source.
- Default:
Enhanced monitoring is disabled
- on_failure
An Amazon SQS queue or Amazon SNS topic destination for discarded records.
- Default:
discarded records are ignored
- parallelization_factor
The number of batches to process from each shard concurrently.
Valid Range:
Minimum value of 1
Maximum value of 10
- Default:
1
- 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
- report_batch_item_failures
Allow functions to return partially successful responses for a batch of records.
- retry_attempts
The maximum number of times to retry when the function returns an error.
Set to
undefined
if you want lambda to keep retrying infinitely or until the record expires.Valid Range:
Minimum value of 0
Maximum value of 10000
- Default:
infinite or until the record expires.
- source_access_configurations
Specific settings like the authentication protocol or the VPC components to secure access to your event source.
- starting_position
The position in the DynamoDB, Kinesis or MSK stream where AWS Lambda should start reading.
- starting_position_timestamp
The time from which to start reading, in Unix time seconds.
- Default:
no timestamp
- support_s3_on_failure_destination
Check if support S3 onfailure destination(ODF).
Currently only MSK and self managed kafka event support S3 ODF
- Default:
false
- target
The target AWS Lambda function.
- tumbling_window
The size of the tumbling windows to group records sent to DynamoDB or Kinesis.
- Default:
None
- See:
https://docs.aws.amazon.com/lambda/latest/dg/with-ddb.html#services-ddb-windows
Valid Range: 0 - 15 minutes