aws_sdk_datapipeline

Module types

Source
Expand description

Data structures used by operation inputs/outputs.

Modules§

  • Builders
  • Error types that AWS Data Pipeline can respond with.

Structs§

  • A key-value pair that describes a property of a pipeline object. The value is specified as either a string value (StringValue) or a reference to another object (RefValue) but not as both.

  • Identity information for the EC2 instance that is hosting the task runner. You can get this value by calling a metadata URI from the EC2 instance. For more information, see Instance Metadata in the Amazon Elastic Compute Cloud User Guide. Passing in this value proves that your task runner is running on an EC2 instance, and ensures the proper AWS Data Pipeline service charges are applied to your pipeline.

  • Contains a logical operation for comparing the value of a field with a specified value.

  • The attributes allowed or specified with a parameter object.

  • Contains information about a parameter object.

  • A value or list of parameter values.

  • Contains pipeline metadata.

  • Contains the name and identifier of a pipeline.

  • Contains information about a pipeline object. This can be a logical, physical, or physical attempt pipeline object. The complete set of components of a pipeline defines the pipeline.

  • Defines the query to run against an object.

  • A comparision that is used to determine whether a query should return this object.

  • Tags are key/value pairs defined by a user and associated with a pipeline to control access. AWS Data Pipeline allows you to associate ten tags per pipeline. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

  • Contains information about a pipeline task that is assigned to a task runner.

  • Defines a validation error. Validation errors prevent pipeline activation. The set of validation errors that can be returned are defined by AWS Data Pipeline.

  • Defines a validation warning. Validation warnings do not prevent pipeline activation. The set of validation warnings that can be returned are defined by AWS Data Pipeline.

Enums§

  • When writing a match expression against OperatorType, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature.
  • When writing a match expression against TaskStatus, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature.