EventSourceMapping

class aws_cdk.aws_lambda.EventSourceMapping(scope, id, *, target, batch_size=None, bisect_batch_on_error=None, enabled=None, event_source_arn=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, on_failure=None, parallelization_factor=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)

Bases: Resource

Defines a Lambda EventSourceMapping resource.

Usually, you won’t need to define the mapping yourself. This will usually be done by event sources. For example, to add an SQS event source to a function:

import aws_cdk.aws_sqs as sqs
import aws_cdk.aws_lambda_event_sources as eventsources

# handler: lambda.Function
# queue: sqs.Queue


handler.add_event_source(eventsources.SqsEventSource(queue))

The SqsEventSource class will automatically create the mapping, and will also modify the Lambda’s execution role so it can consume messages from the queue.

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_

# event_source_dlq: lambda.IEventSourceDlq
# filters: Any
# function_: lambda.Function
# source_access_configuration_type: lambda.SourceAccessConfigurationType

event_source_mapping = lambda_.EventSourceMapping(self, "MyEventSourceMapping",
    target=function_,

    # the properties below are optional
    batch_size=123,
    bisect_batch_on_error=False,
    enabled=False,
    event_source_arn="eventSourceArn",
    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),
    on_failure=event_source_dlq,
    parallelization_factor=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)
)

Parameters:

scope (Construct) –
id (str) –
target (IFunction) – The target AWS Lambda function.
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: false
enabled (Optional[bool]) – Set to false to disable the event source upon creation. Default: true
event_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 otherwise
filters (Optional[Sequence[Mapping[str, Any]]]) – Add filter criteria to Event Source. Default: - none
kafka_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 format abc.example.com:9096. Default: - none
kafka_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: - none
kafka_topic (Optional[str]) – The name of the Kafka topic. Default: - no topic
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)
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.
on_failure (Optional[IEventSourceDlq]) – An Amazon SQS queue or Amazon SNS topic destination for discarded records. Default: discarded records are ignored
parallelization_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: 1
report_batch_item_failures (Optional[bool]) – Allow functions to return partially successful responses for a batch of records. Default: false
retry_attempts (Union[int, float, None]) – 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 (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: - none
starting_position (Optional[StartingPosition]) – The position in the DynamoDB, Kinesis or MSK stream where AWS Lambda should start reading. Default: - no starting position
starting_position_timestamp (Union[int, float, None]) – The time from which to start reading, in Unix time seconds. Default: - no timestamp
support_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: false
tumbling_window (Optional[Duration]) – The size of the tumbling windows to group records sent to DynamoDB or Kinesis. Default: - None

Methods

apply_removal_policy(policy)

Apply the given removal policy to this resource.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:

policy (RemovalPolicy) –

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str

Attributes

env

The environment this resource belongs to.

For resources that are created and managed by the CDK (generally, those created by creating new class instances like Role, Bucket, etc.), this is always the same as the environment of the stack they belong to; however, for imported resources (those obtained from static methods like fromRoleArn, fromBucketName, etc.), that might be different than the stack they were imported into.

event_source_mapping_arn

lambda:region:account-id:event-source-mapping/event-source-mapping-id).

Type:: The ARN of the event source mapping (i.e. arn
Type:: aws

event_source_mapping_id: The identifier for this EventSourceMapping.

node: The tree node.

stack: The stack in which this resource is defined.

Static Methods

classmethod from_event_source_mapping_id(scope, id, event_source_mapping_id)

Import an event source into this stack from its event source id.

Parameters:

scope (Construct) –
id (str) –
event_source_mapping_id (str) –

Return type:

IEventSourceMapping

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

classmethod is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:

construct (IConstruct) –

Return type:

bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:

construct (IConstruct) –

Return type:

bool