Module aws_sdk_m2::types

source ·
Expand description

Data structures used by operation inputs/outputs.

Modules§

  • Builders
  • Error types that AWSMainframeModernization can respond with.

Structs§

  • Defines an alternate key. This value is optional. A legacy data set might not have any alternate key defined but if those alternate keys definitions exist, provide them, as some applications will make use of them.

  • A subset of the possible application attributes. Used in the application list.

  • Defines an application version summary.

  • A subset of the possible batch job attributes. Used in the batch job list.

  • Defines a data set.

  • Identifies a specific data set to import from an external location.

  • Represents a summary of data set imports.

  • Contains information about a data set import task.

  • A subset of the possible data set attributes.

  • Contains a summary of a deployed application.

  • A subset of information about a specific deployment.

  • Defines the storage configuration for an Amazon EFS file system.

  • A subset of information about the engine version for a specific application.

  • Contains a subset of the possible runtime environment attributes. Used in the environment list.

  • A file containing a batch job definition.

  • A batch job identifier in which the batch job to run is identified by the file name and the relative path to the file name.

  • Defines the storage configuration for an Amazon FSx file system.

  • The required attributes for a generation data group data set. A generation data set is one of a collection of successive, historically related, catalogued data sets that together are known as a generation data group (GDG). Use this structure when you want to import a GDG. For more information on GDG, see Generation data sets.

  • The required attributes for a generation data group data set. A generation data set is one of a collection of successive, historically related, catalogued data sets that together are known as a generation data group (GDG). Use this structure when you want to import a GDG. For more information on GDG, see Generation data sets.

  • Defines the details of a high availability configuration.

  • Provides information related to a job step.

  • Provides restart step information for the most recent restart operation.

  • A subset of the attributes that describe a log group. In CloudWatch a log group is a group of log streams that share the same retention, monitoring, and access control settings.

  • The information about the maintenance schedule.

  • The scheduled maintenance for a runtime engine.

  • The supported properties for a PO type data set.

  • The supported properties for a PO type data set.

  • The primary key for a KSDS data set.

  • The supported properties for a PS type data set.

  • The supported properties for a PS type data set.

  • The length of the records in the data set.

  • An identifier for the StartBatchJob API to show that it is a restart operation.

  • A batch job identifier in which the batch jobs to run are identified by an Amazon S3 location.

  • A batch job definition contained in a script.

  • A batch job identifier in which the batch job to run is identified by the script name.

  • Contains information about a validation exception field.

  • The attributes of a VSAM type data set.

  • The attributes of a VSAM type data set.

Enums§

  • When writing a match expression against ApplicationDeploymentLifecycle, 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 ApplicationLifecycle, 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 ApplicationVersionLifecycle, 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.
  • Defines the details of a batch job.

  • When writing a match expression against BatchJobExecutionStatus, 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.
  • Identifies a specific batch job.

  • When writing a match expression against BatchJobType, 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.
  • Identifies one or more data sets you want to import with the CreateDataSetImportTask operation.

  • When writing a match expression against DataSetTaskLifecycle, 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.
  • Additional details about the data set. Different attributes correspond to different data set organizations. The values are populated based on datasetOrg, storageType and backend (Blu Age or Micro Focus).

  • Additional details about the data set. Different attributes correspond to different data set organizations. The values are populated based on datasetOrg, storageType and backend (Blu Age or Micro Focus).

  • The application definition for a particular application.

  • When writing a match expression against DeploymentLifecycle, 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 EngineType, 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 EnvironmentLifecycle, 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.
  • Defines an external storage location.

  • Identifies a specific batch job.

  • Defines the storage configuration for a runtime environment.

  • When writing a match expression against ValidationExceptionReason, 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.