aws-cdk.aws-pipes-targets-alpha 2.236.0a0

The CDK Construct Library for Amazon EventBridge Pipes Targets

Amazon EventBridge Pipes Targets Construct Library

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The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

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EventBridge Pipes Targets let you create a target for an EventBridge Pipe.

For more details see the service documentation.

Targets

Pipe targets are the end point of an EventBridge Pipe. The following targets are supported:

• targets.ApiDestinationTarget: Send event source to an EventBridge API destination
• targets.ApiGatewayTarget: Send event source to an API Gateway REST API
• targets.CloudWatchLogsTarget: Send event source to a CloudWatch Logs log group
• targets.EventBridgeTarget: Send event source to an EventBridge event bus
• targets.FirehoseTarget: Send event source to an Amazon Data Firehose delivery stream
• targets.KinesisTarget: Send event source to a Kinesis data stream
• targets.LambdaFunction: Send event source to a Lambda function
• targets.SageMakerTarget: Send event source to a SageMaker pipeline
• targets.SfnStateMachine: Invoke a Step Functions state machine from an event source
• targets.SnsTarget: Send event source to an SNS topic
• targets.SqsTarget: Send event source to an SQS queue

Amazon EventBridge API Destination

An EventBridge API destination can be used as a target for a pipe. The API destination will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# dest: events.ApiDestination


api_target = targets.ApiDestinationTarget(dest)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

The input to the target API destination can be transformed:

# source_queue: sqs.Queue
# dest: events.ApiDestination


api_target = targets.ApiDestinationTarget(dest,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

Amazon API Gateway Rest API

A REST API can be used as a target for a pipe. The REST API will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue


fn = lambda_.Function(self, "MyFunc",
    handler="index.handler",
    runtime=lambda_.Runtime.NODEJS_LATEST,
    code=lambda_.Code.from_inline("exports.handler = e => {}")
)

rest_api = api.LambdaRestApi(self, "MyRestAPI", handler=fn)
api_target = targets.ApiGatewayTarget(rest_api)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

The input to the target REST API can be transformed:

# source_queue: sqs.Queue


fn = lambda_.Function(self, "MyFunc",
    handler="index.handler",
    runtime=lambda_.Runtime.NODEJS_LATEST,
    code=lambda_.Code.from_inline("exports.handler = e => {}")
)

rest_api = api.LambdaRestApi(self, "MyRestAPI", handler=fn)
api_target = targets.ApiGatewayTarget(rest_api,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

Amazon CloudWatch Logs Log Group

A CloudWatch Logs log group can be used as a target for a pipe. The log group will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_log_group: logs.LogGroup


log_group_target = targets.CloudWatchLogsTarget(target_log_group)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=log_group_target
)

The input to the target log group can be transformed:

# source_queue: sqs.Queue
# target_log_group: logs.LogGroup


log_group_target = targets.CloudWatchLogsTarget(target_log_group,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=log_group_target
)

Amazon EventBridge Event Bus

An EventBridge event bus can be used as a target for a pipe. The event bus will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_event_bus: events.EventBus


event_bus_target = targets.EventBridgeTarget(target_event_bus)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=event_bus_target
)

The input to the target event bus can be transformed:

# source_queue: sqs.Queue
# target_event_bus: events.EventBus


event_bus_target = targets.EventBridgeTarget(target_event_bus,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=event_bus_target
)

Amazon Data Firehose Delivery Stream

An Amazon Data Firehose delivery stream can be used as a target for a pipe. The delivery stream will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_delivery_stream: firehose.DeliveryStream


delivery_stream_target = targets.FirehoseTarget(target_delivery_stream)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=delivery_stream_target
)

The input to the target delivery stream can be transformed:

# source_queue: sqs.Queue
# target_delivery_stream: firehose.DeliveryStream


delivery_stream_target = targets.FirehoseTarget(target_delivery_stream,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=delivery_stream_target
)

Amazon Kinesis Data Stream

A Kinesis data stream can be used as a target for a pipe. The data stream will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_stream: kinesis.Stream


stream_target = targets.KinesisTarget(target_stream,
    partition_key="pk"
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=stream_target
)

The input to the target data stream can be transformed:

# source_queue: sqs.Queue
# target_stream: kinesis.Stream


stream_target = targets.KinesisTarget(target_stream,
    partition_key="pk",
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=stream_target
)

AWS Lambda Function

A Lambda function can be used as a target for a pipe. The Lambda function will be invoked with the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The target Lambda function is invoked synchronously by default. You can also choose to invoke the Lambda Function asynchronously by setting invocationType property to FIRE_AND_FORGET.

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function,
    invocation_type=targets.LambdaFunctionInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The input to the target Lambda Function can be transformed:

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Amazon SageMaker Pipeline

A SageMaker pipeline can be used as a target for a pipe. The pipeline will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_pipeline: sagemaker.IPipeline


pipeline_target = targets.SageMakerTarget(target_pipeline)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipeline_target
)

The input to the target pipeline can be transformed:

# source_queue: sqs.Queue
# target_pipeline: sagemaker.IPipeline


pipeline_target = targets.SageMakerTarget(target_pipeline,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipeline_target
)

AWS Step Functions State Machine

A Step Functions state machine can be used as a target for a pipe. The state machine will be invoked with the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

You can specify the invocation type when the target state machine is invoked:

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine,
    invocation_type=targets.StateMachineInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The input to the target state machine can be transformed:

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine,
    input_transformation=pipes.InputTransformation.from_object({"body": "<$.body>"}),
    invocation_type=targets.StateMachineInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Amazon SNS Topic

An SNS topic can be used as a target for a pipe. The topic will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_topic: sns.Topic


pipe_target = targets.SnsTarget(target_topic)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The target input can be transformed:

# source_queue: sqs.Queue
# target_topic: sns.Topic


pipe_target = targets.SnsTarget(target_topic,
    input_transformation=pipes.InputTransformation.from_object({
        "SomeKey": pipes.DynamicInput.from_event_path("$.body")
    })
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Amazon SQS Queue

An SQS queue can be used as a target for a pipe. The queue will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_queue: sqs.Queue


pipe_target = targets.SqsTarget(target_queue)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The target input can be transformed:

# source_queue: sqs.Queue
# target_queue: sqs.Queue


pipe_target = targets.SqsTarget(target_queue,
    input_transformation=pipes.InputTransformation.from_object({
        "SomeKey": pipes.DynamicInput.from_event_path("$.body")
    })
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)