M2
This page documents function available when using the M2
module, created with @service M2
.
Index
Main.M2.cancel_batch_job_execution
Main.M2.create_application
Main.M2.create_data_set_import_task
Main.M2.create_deployment
Main.M2.create_environment
Main.M2.delete_application
Main.M2.delete_application_from_environment
Main.M2.delete_environment
Main.M2.get_application
Main.M2.get_application_version
Main.M2.get_batch_job_execution
Main.M2.get_data_set_details
Main.M2.get_data_set_import_task
Main.M2.get_deployment
Main.M2.get_environment
Main.M2.get_signed_bluinsights_url
Main.M2.list_application_versions
Main.M2.list_applications
Main.M2.list_batch_job_definitions
Main.M2.list_batch_job_executions
Main.M2.list_batch_job_restart_points
Main.M2.list_data_set_import_history
Main.M2.list_data_sets
Main.M2.list_deployments
Main.M2.list_engine_versions
Main.M2.list_environments
Main.M2.list_tags_for_resource
Main.M2.start_application
Main.M2.start_batch_job
Main.M2.stop_application
Main.M2.tag_resource
Main.M2.untag_resource
Main.M2.update_application
Main.M2.update_environment
Documentation
Main.M2.cancel_batch_job_execution
— Methodcancel_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_application
— Methodcreate_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) that identifies a role that the application uses to access Amazon Web Services resources that are not part of the application or are in a different Amazon Web Services account."tags"
: A list of tags to apply to the application.
Main.M2.create_data_set_import_task
— Methodcreate_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_deployment
— Methodcreate_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_environment
— Methodcreate_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 that you want for the runtime environment. The maintenance window must have the format ddd:hh24:mi-ddd:hh24:mi and must be less than 24 hours. The following two examples are valid maintenance windows: sun:23:45-mon:00:15 or sat:01:00-sat:03:00. 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_application
— Methoddelete_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_environment
— Methoddelete_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_environment
— Methoddelete_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_application
— Methodget_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_version
— Methodget_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_execution
— Methodget_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_details
— Methodget_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_task
— Methodget_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_deployment
— Methodget_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_environment
— Methodget_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.get_signed_bluinsights_url
— Methodget_signed_bluinsights_url()
get_signed_bluinsights_url(params::Dict{String,<:Any})
Gets a single sign-on URL that can be used to connect to AWS Blu Insights.
Main.M2.list_application_versions
— Methodlist_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_applications
— Methodlist_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_definitions
— Methodlist_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_executions
— Methodlist_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_batch_job_restart_points
— Methodlist_batch_job_restart_points(application_id, execution_id)
list_batch_job_restart_points(application_id, execution_id, params::Dict{String,<:Any})
Lists all the job steps for JCL files to restart a batch job. This is only applicable for Micro Focus engine with versions 8.0.6 and above.
Arguments
application_id
: The unique identifier of the application.execution_id
: The unique identifier of each batch job execution.
Main.M2.list_data_set_import_history
— Methodlist_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_sets
— Methodlist_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."nameFilter"
: Filter dataset name matching the specified pattern. Can use * and % as wild cards."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_deployments
— Methodlist_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_versions
— Methodlist_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_environments
— Methodlist_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_resource
— Methodlist_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_application
— Methodstart_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_job
— Methodstart_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_application
— Methodstop_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_resource
— Methodtag_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_resource
— Methoduntag_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_application
— Methodupdate_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_environment
— Methodupdate_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. The minimum possible value is 0 and the maximum is 100."engineVersion"
: The version of the runtime engine for the runtime environment."forceUpdate"
: Forces the updates on the environment. This option is needed if the applications in the environment are not stopped or if there are ongoing application-related activities in the environment. If you use this option, be aware that it could lead to data corruption in the applications, and that you might need to perform repair and recovery procedures for the applications. This option is not needed if the attribute being updated is preferredMaintenanceWindow."instanceType"
: The instance type for the runtime environment to update."preferredMaintenanceWindow"
: Configures the maintenance window that you want for the runtime environment. The maintenance window must have the format ddd:hh24:mi-ddd:hh24:mi and must be less than 24 hours. The following two examples are valid maintenance windows: sun:23:45-mon:00:15 or sat:01:00-sat:03:00. If you do not provide a value, a random system-generated value will be assigned.