Package-level declarations
Types
This structure specifies the VPC subnets and security groups for the task, and whether a public IP address is to be used. This structure is relevant only for ECS tasks that use the awsvpc network mode.
The array properties for the submitted job, such as the size of the array. The array size can be between 2 and 10,000. If you specify array properties for a job, it becomes an array job. This parameter is used only if the target is an Batch job.
The overrides that are sent to a container.
The environment variables to send to the container. You can add new environment variables, which are added to the container at launch, or you can override the existing environment variables from the Docker image or the task definition.
An object that represents an Batch job dependency.
The type and amount of a resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.
The retry strategy that's associated with a job. For more information, see Automated job retries in the Batch User Guide.
The details of a capacity provider strategy. To learn more, see CapacityProviderStrategyItem in the Amazon ECS API Reference.
The Amazon CloudWatch Logs logging configuration settings for the pipe.
The Amazon CloudWatch Logs logging configuration settings for the pipe.
An action you attempted resulted in an exception.
A DeadLetterConfig object that contains information about a dead-letter queue configuration.
Maps source data to a dimension in the target Timestream for LiveAnalytics table.
The overrides that are sent to a container. An empty container override can be passed in. An example of an empty container override is {"containerOverrides": [ ] }. If a non-empty container override is specified, the name parameter must be included.
A list of files containing the environment variables to pass to a container. You can specify up to ten environment files. The file must have a .env file extension. Each line in an environment file should contain an environment variable in VARIABLE=VALUE format. Lines beginning with # are treated as comments and are ignored. For more information about the environment variable file syntax, see Declare default environment variables in file.
The environment variables to send to the container. You can add new environment variables, which are added to the container at launch, or you can override the existing environment variables from the Docker image or the task definition. You must also specify a container name.
The amount of ephemeral storage to allocate for the task. This parameter is used to expand the total amount of ephemeral storage available, beyond the default amount, for tasks hosted on Fargate. For more information, see Fargate task storage in the Amazon ECS User Guide for Fargate.
Details on an Elastic Inference accelerator task override. This parameter is used to override the Elastic Inference accelerator specified in the task definition. For more information, see Working with Amazon Elastic Inference on Amazon ECS in the Amazon Elastic Container Service Developer Guide.
The type and amount of a resource to assign to a container. The supported resource types are GPUs and Elastic Inference accelerators. For more information, see Working with GPUs on Amazon ECS or Working with Amazon Elastic Inference on Amazon ECS in the Amazon Elastic Container Service Developer Guide
The overrides that are associated with a task.
Filter events using an event pattern. For more information, see Events and Event Patterns in the Amazon EventBridge User Guide.
The collection of event patterns used to filter events.
The Amazon Data Firehose logging configuration settings for the pipe.
The Amazon Data Firehose logging configuration settings for the pipe.
This exception occurs due to unexpected causes.
The Secrets Manager secret that stores your broker credentials.
The Secrets Manager secret that stores your stream credentials.
A mapping of a source event data field to a measure in a Timestream for LiveAnalytics record.
Maps multiple measures from the source event to the same Timestream for LiveAnalytics record.
This structure specifies the network configuration for an Amazon ECS task.
An entity that you specified does not exist.
These are custom parameter to be used when the target is an API Gateway REST APIs or EventBridge ApiDestinations. In the latter case, these are merged with any InvocationParameters specified on the Connection, with any values from the Connection taking precedence.
The parameters required to set up enrichment on your pipe.
The logging configuration settings for the pipe.
Specifies the logging configuration settings for the pipe.
Base class for all service related exceptions thrown by the Pipes client
The parameters for using an Active MQ broker as a source.
The parameters for using a DynamoDB stream as a source.
The parameters for using a Kinesis stream as a source.
The parameters for using an MSK stream as a source.
The parameters required to set up a source for your pipe.
The parameters for using a Rabbit MQ broker as a source.
The parameters for using a self-managed Apache Kafka stream as a source.
The parameters for using a Amazon SQS stream as a source.
The parameters for using an Batch job as a target.
The parameters for using an CloudWatch Logs log stream as a target.
The parameters for using an Amazon ECS task as a target.
The parameters for using an EventBridge event bus as a target.
These are custom parameter to be used when the target is an API Gateway REST APIs or EventBridge ApiDestinations.
The parameters for using a Kinesis stream as a target.
The parameters for using a Lambda function as a target.
The parameters required to set up a target for your pipe.
These are custom parameters to be used when the target is a Amazon Redshift cluster to invoke the Amazon Redshift Data API BatchExecuteStatement.
The parameters for using a SageMaker pipeline as a target.
The parameters for using a Amazon SQS stream as a target.
The parameters for using a Step Functions state machine as a target.
The parameters for using a Timestream for LiveAnalytics table as a target.
An object representing a constraint on task placement. To learn more, see Task Placement Constraints in the Amazon Elastic Container Service Developer Guide.
The task placement strategy for a task or service. To learn more, see Task Placement Strategies in the Amazon Elastic Container Service Service Developer Guide.
The Amazon S3 logging configuration settings for the pipe.
The Amazon S3 logging configuration settings for the pipe.
Name/Value pair of a parameter to start execution of a SageMaker Model Building Pipeline.
The Secrets Manager secret that stores your stream credentials.
This structure specifies the VPC subnets and security groups for the stream, and whether a public IP address is to be used.
A quota has been exceeded.
Maps a single source data field to a single record in the specified Timestream for LiveAnalytics table.
An action was throttled.
The parameters for using an Active MQ broker as a source.
The parameters for using a DynamoDB stream as a source.
The parameters for using a Kinesis stream as a source.
The parameters for using an MSK stream as a source.
The parameters required to set up a source for your pipe.
The parameters for using a Rabbit MQ broker as a source.
The parameters for using a self-managed Apache Kafka stream as a source.
The parameters for using a Amazon SQS stream as a source.
Indicates that an error has occurred while performing a validate operation.
Indicates that an error has occurred while performing a validate operation.