M2

This page documents function available when using the M2 module, created with @service M2.

Index

Documentation

Main.M2.cancel_batch_job_executionMethod
cancel_batch_job_execution(application_id, execution_id)
cancel_batch_job_execution(application_id, execution_id, params::Dict{String,<:Any})

Cancels the running of a specific batch job execution.

Arguments

  • application_id: The unique identifier of the application.
  • execution_id: The unique identifier of the batch job execution.
Main.M2.create_applicationMethod
create_application(definition, engine_type, name)
create_application(definition, engine_type, name, params::Dict{String,<:Any})

Creates a new application with given parameters. Requires an existing runtime environment and application definition file.

Arguments

  • definition: The application definition for this application. You can specify either inline JSON or an S3 bucket location.
  • engine_type: The type of the target platform for this application.
  • name: The unique identifier of the application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "clientToken": Unique, case-sensitive identifier the service generates to ensure the idempotency of the request to create an application. The service generates the clientToken when the API call is triggered. The token expires after one hour, so if you retry the API within this timeframe with the same clientToken, you will get the same response. The service also handles deleting the clientToken after it expires.
  • "description": The description of the application.
  • "kmsKeyId": The identifier of a customer managed key.
  • "roleArn": The Amazon Resource Name (ARN) of the role associated with the application.
  • "tags": A list of tags to apply to the application.
Main.M2.create_data_set_import_taskMethod
create_data_set_import_task(application_id, import_config)
create_data_set_import_task(application_id, import_config, params::Dict{String,<:Any})

Starts a data set import task for a specific application.

Arguments

  • application_id: The unique identifier of the application for which you want to import data sets.
  • import_config: The data set import task configuration.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "clientToken": Unique, case-sensitive identifier you provide to ensure the idempotency of the request to create a data set import. The service generates the clientToken when the API call is triggered. The token expires after one hour, so if you retry the API within this timeframe with the same clientToken, you will get the same response. The service also handles deleting the clientToken after it expires.
Main.M2.create_deploymentMethod
create_deployment(application_id, application_version, environment_id)
create_deployment(application_id, application_version, environment_id, params::Dict{String,<:Any})

Creates and starts a deployment to deploy an application into a runtime environment.

Arguments

  • application_id: The application identifier.
  • application_version: The version of the application to deploy.
  • environment_id: The identifier of the runtime environment where you want to deploy this application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "clientToken": Unique, case-sensitive identifier you provide to ensure the idempotency of the request to create a deployment. The service generates the clientToken when the API call is triggered. The token expires after one hour, so if you retry the API within this timeframe with the same clientToken, you will get the same response. The service also handles deleting the clientToken after it expires.
Main.M2.create_environmentMethod
create_environment(engine_type, instance_type, name)
create_environment(engine_type, instance_type, name, params::Dict{String,<:Any})

Creates a runtime environment for a given runtime engine.

Arguments

  • engine_type: The engine type for the runtime environment.
  • instance_type: The type of instance for the runtime environment.
  • name: The name of the runtime environment. Must be unique within the account.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "clientToken": Unique, case-sensitive identifier you provide to ensure the idempotency of the request to create an environment. The service generates the clientToken when the API call is triggered. The token expires after one hour, so if you retry the API within this timeframe with the same clientToken, you will get the same response. The service also handles deleting the clientToken after it expires.
  • "description": The description of the runtime environment.
  • "engineVersion": The version of the engine type for the runtime environment.
  • "highAvailabilityConfig": The details of a high availability configuration for this runtime environment.
  • "kmsKeyId": The identifier of a customer managed key.
  • "preferredMaintenanceWindow": Configures the maintenance window you want for the runtime environment. If you do not provide a value, a random system-generated value will be assigned.
  • "publiclyAccessible": Specifies whether the runtime environment is publicly accessible.
  • "securityGroupIds": The list of security groups for the VPC associated with this runtime environment.
  • "storageConfigurations": Optional. The storage configurations for this runtime environment.
  • "subnetIds": The list of subnets associated with the VPC for this runtime environment.
  • "tags": The tags for the runtime environment.
Main.M2.delete_applicationMethod
delete_application(application_id)
delete_application(application_id, params::Dict{String,<:Any})

Deletes a specific application. You cannot delete a running application.

Arguments

  • application_id: The unique identifier of the application you want to delete.
Main.M2.delete_application_from_environmentMethod
delete_application_from_environment(application_id, environment_id)
delete_application_from_environment(application_id, environment_id, params::Dict{String,<:Any})

Deletes a specific application from the specific runtime environment where it was previously deployed. You cannot delete a runtime environment using DeleteEnvironment if any application has ever been deployed to it. This API removes the association of the application with the runtime environment so you can delete the environment smoothly.

Arguments

  • application_id: The unique identifier of the application you want to delete.
  • environment_id: The unique identifier of the runtime environment where the application was previously deployed.
Main.M2.delete_environmentMethod
delete_environment(environment_id)
delete_environment(environment_id, params::Dict{String,<:Any})

Deletes a specific runtime environment. The environment cannot contain deployed applications. If it does, you must delete those applications before you delete the environment.

Arguments

  • environment_id: The unique identifier of the runtime environment you want to delete.
Main.M2.get_applicationMethod
get_application(application_id)
get_application(application_id, params::Dict{String,<:Any})

Describes the details of a specific application.

Arguments

  • application_id: The identifier of the application.
Main.M2.get_application_versionMethod
get_application_version(application_id, application_version)
get_application_version(application_id, application_version, params::Dict{String,<:Any})

Returns details about a specific version of a specific application.

Arguments

  • application_id: The unique identifier of the application.
  • application_version: The specific version of the application.
Main.M2.get_batch_job_executionMethod
get_batch_job_execution(application_id, execution_id)
get_batch_job_execution(application_id, execution_id, params::Dict{String,<:Any})

Gets the details of a specific batch job execution for a specific application.

Arguments

  • application_id: The identifier of the application.
  • execution_id: The unique identifier of the batch job execution.
Main.M2.get_data_set_detailsMethod
get_data_set_details(application_id, data_set_name)
get_data_set_details(application_id, data_set_name, params::Dict{String,<:Any})

Gets the details of a specific data set.

Arguments

  • application_id: The unique identifier of the application that this data set is associated with.
  • data_set_name: The name of the data set.
Main.M2.get_data_set_import_taskMethod
get_data_set_import_task(application_id, task_id)
get_data_set_import_task(application_id, task_id, params::Dict{String,<:Any})

Gets the status of a data set import task initiated with the CreateDataSetImportTask operation.

Arguments

  • application_id: The application identifier.
  • task_id: The task identifier returned by the CreateDataSetImportTask operation.
Main.M2.get_deploymentMethod
get_deployment(application_id, deployment_id)
get_deployment(application_id, deployment_id, params::Dict{String,<:Any})

Gets details of a specific deployment with a given deployment identifier.

Arguments

  • application_id: The unique identifier of the application.
  • deployment_id: The unique identifier for the deployment.
Main.M2.get_environmentMethod
get_environment(environment_id)
get_environment(environment_id, params::Dict{String,<:Any})

Describes a specific runtime environment.

Arguments

  • environment_id: The unique identifier of the runtime environment.
Main.M2.list_application_versionsMethod
list_application_versions(application_id)
list_application_versions(application_id, params::Dict{String,<:Any})

Returns a list of the application versions for a specific application.

Arguments

  • application_id: The unique identifier of the application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "maxResults": The maximum number of application versions to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
Main.M2.list_applicationsMethod
list_applications()
list_applications(params::Dict{String,<:Any})

Lists the applications associated with a specific Amazon Web Services account. You can provide the unique identifier of a specific runtime environment in a query parameter to see all applications associated with that environment.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "environmentId": The unique identifier of the runtime environment where the applications are deployed.
  • "maxResults": The maximum number of applications to return.
  • "names": The names of the applications.
  • "nextToken": A pagination token to control the number of applications displayed in the list.
Main.M2.list_batch_job_definitionsMethod
list_batch_job_definitions(application_id)
list_batch_job_definitions(application_id, params::Dict{String,<:Any})

Lists all the available batch job definitions based on the batch job resources uploaded during the application creation. You can use the batch job definitions in the list to start a batch job.

Arguments

  • application_id: The identifier of the application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "maxResults": The maximum number of batch job definitions to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
  • "prefix": If the batch job definition is a FileBatchJobDefinition, the prefix allows you to search on the file names of FileBatchJobDefinitions.
Main.M2.list_batch_job_executionsMethod
list_batch_job_executions(application_id)
list_batch_job_executions(application_id, params::Dict{String,<:Any})

Lists historical, current, and scheduled batch job executions for a specific application.

Arguments

  • application_id: The unique identifier of the application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "executionIds": The unique identifier of each batch job execution.
  • "jobName": The name of each batch job execution.
  • "maxResults": The maximum number of batch job executions to return.
  • "nextToken": A pagination token to control the number of batch job executions displayed in the list.
  • "startedAfter": The time after which the batch job executions started.
  • "startedBefore": The time before the batch job executions started.
  • "status": The status of the batch job executions.
Main.M2.list_data_set_import_historyMethod
list_data_set_import_history(application_id)
list_data_set_import_history(application_id, params::Dict{String,<:Any})

Lists the data set imports for the specified application.

Arguments

  • application_id: The unique identifier of the application.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "maxResults": The maximum number of objects to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
Main.M2.list_data_setsMethod
list_data_sets(application_id)
list_data_sets(application_id, params::Dict{String,<:Any})

Lists the data sets imported for a specific application. In Amazon Web Services Mainframe Modernization, data sets are associated with applications deployed on runtime environments. This is known as importing data sets. Currently, Amazon Web Services Mainframe Modernization can import data sets into catalogs using CreateDataSetImportTask.

Arguments

  • application_id: The unique identifier of the application for which you want to list the associated data sets.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "maxResults": The maximum number of objects to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
  • "prefix": The prefix of the data set name, which you can use to filter the list of data sets.
Main.M2.list_deploymentsMethod
list_deployments(application_id)
list_deployments(application_id, params::Dict{String,<:Any})

Returns a list of all deployments of a specific application. A deployment is a combination of a specific application and a specific version of that application. Each deployment is mapped to a particular application version.

Arguments

  • application_id: The application identifier.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "maxResults": The maximum number of objects to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
Main.M2.list_engine_versionsMethod
list_engine_versions()
list_engine_versions(params::Dict{String,<:Any})

Lists the available engine versions.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "engineType": The type of target platform.
  • "maxResults": The maximum number of objects to return.
  • "nextToken": A pagination token returned from a previous call to this operation. This specifies the next item to return. To return to the beginning of the list, exclude this parameter.
Main.M2.list_environmentsMethod
list_environments()
list_environments(params::Dict{String,<:Any})

Lists the runtime environments.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "engineType": The engine type for the runtime environment.
  • "maxResults": The maximum number of runtime environments to return.
  • "names": The names of the runtime environments. Must be unique within the account.
  • "nextToken": A pagination token to control the number of runtime environments displayed in the list.
Main.M2.list_tags_for_resourceMethod
list_tags_for_resource(resource_arn)
list_tags_for_resource(resource_arn, params::Dict{String,<:Any})

Lists the tags for the specified resource.

Arguments

  • resource_arn: The Amazon Resource Name (ARN) of the resource.
Main.M2.start_applicationMethod
start_application(application_id)
start_application(application_id, params::Dict{String,<:Any})

Starts an application that is currently stopped.

Arguments

  • application_id: The unique identifier of the application you want to start.
Main.M2.start_batch_jobMethod
start_batch_job(application_id, batch_job_identifier)
start_batch_job(application_id, batch_job_identifier, params::Dict{String,<:Any})

Starts a batch job and returns the unique identifier of this execution of the batch job. The associated application must be running in order to start the batch job.

Arguments

  • application_id: The unique identifier of the application associated with this batch job.
  • batch_job_identifier: The unique identifier of the batch job.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "jobParams": The collection of batch job parameters. For details about limits for keys and values, see Coding variables in JCL.
Main.M2.stop_applicationMethod
stop_application(application_id)
stop_application(application_id, params::Dict{String,<:Any})

Stops a running application.

Arguments

  • application_id: The unique identifier of the application you want to stop.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "forceStop": Stopping an application process can take a long time. Setting this parameter to true lets you force stop the application so you don't need to wait until the process finishes to apply another action on the application. The default value is false.
Main.M2.tag_resourceMethod
tag_resource(resource_arn, tags)
tag_resource(resource_arn, tags, params::Dict{String,<:Any})

Adds one or more tags to the specified resource.

Arguments

  • resource_arn: The Amazon Resource Name (ARN) of the resource.
  • tags: The tags to add to the resource.
Main.M2.untag_resourceMethod
untag_resource(resource_arn, tag_keys)
untag_resource(resource_arn, tag_keys, params::Dict{String,<:Any})

Removes one or more tags from the specified resource.

Arguments

  • resource_arn: The Amazon Resource Name (ARN) of the resource.
  • tag_keys: The keys of the tags to remove.
Main.M2.update_applicationMethod
update_application(application_id, current_application_version)
update_application(application_id, current_application_version, params::Dict{String,<:Any})

Updates an application and creates a new version.

Arguments

  • application_id: The unique identifier of the application you want to update.
  • current_application_version: The current version of the application to update.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "definition": The application definition for this application. You can specify either inline JSON or an S3 bucket location.
  • "description": The description of the application to update.
Main.M2.update_environmentMethod
update_environment(environment_id)
update_environment(environment_id, params::Dict{String,<:Any})

Updates the configuration details for a specific runtime environment.

Arguments

  • environment_id: The unique identifier of the runtime environment that you want to update.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

  • "applyDuringMaintenanceWindow": Indicates whether to update the runtime environment during the maintenance window. The default is false. Currently, Amazon Web Services Mainframe Modernization accepts the engineVersion parameter only if applyDuringMaintenanceWindow is true. If any parameter other than engineVersion is provided in UpdateEnvironmentRequest, it will fail if applyDuringMaintenanceWindow is set to true.
  • "desiredCapacity": The desired capacity for the runtime environment to update.
  • "engineVersion": The version of the runtime engine for the runtime environment.
  • "instanceType": The instance type for the runtime environment to update.
  • "preferredMaintenanceWindow": Configures the maintenance window you want for the runtime environment. If you do not provide a value, a random system-generated value will be assigned.