BatchTaskCreateOptions Class

Parameters for creating an Azure Batch Task.

Constructor

BatchTaskCreateOptions(*args: Any, **kwargs: Any)

Variables

Name Description
id
str

A string that uniquely identifies the Task within the Job. The ID can contain any combination of alphanumeric characters including hyphens and underscores, and cannot contain more than 64 characters. The ID is case-preserving and case-insensitive (that is, you may not have two IDs within a Job that differ only by case). Required.

display_name
str

A display name for the Task. The display name need not be unique and can contain any Unicode characters up to a maximum length of 1024.

exit_conditions

How the Batch service should respond when the Task completes.

command_line
str

The command line of the Task. For multi-instance Tasks, the command line is executed as the primary Task, after the primary Task and all subtasks have finished executing the coordination command line. The command line does not run under a shell, and therefore cannot take advantage of shell features such as environment variable expansion. If you want to take advantage of such features, you should invoke the shell in the command line, for example using "cmd /c MyCommand" in Windows or "/bin/sh -c MyCommand" in Linux. If the command line refers to file paths, it should use a relative path (relative to the Task working directory), or use the Batch provided environment variable (https://learn.microsoft.com/azure/batch/batch-compute-node-environment-variables). Required.

container_settings

The settings for the container under which the Task runs. If the Pool that will run this Task has containerConfiguration set, this must be set as well. If the Pool that will run this Task doesn't have containerConfiguration set, this must not be set. When this is specified, all directories recursively below the AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch directories on the node) are mapped into the container, all Task environment variables are mapped into the container, and the Task command line is executed in the container. Files produced in the container outside of AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning that Batch file APIs will not be able to access those files.

resource_files

A list of files that the Batch service will download to the Compute Node before running the command line. For multi-instance Tasks, the resource files will only be downloaded to the Compute Node on which the primary Task is executed. There is a maximum size for the list of resource files. When the max size is exceeded, the request will fail and the response error code will be RequestEntityTooLarge. If this occurs, the collection of ResourceFiles must be reduced in size. This can be achieved using .zip files, Application Packages, or Docker Containers.

output_files

A list of files that the Batch service will upload from the Compute Node after running the command line. For multi-instance Tasks, the files will only be uploaded from the Compute Node on which the primary Task is executed.

environment_settings

A list of environment variable settings for the Task.

affinity_info

A locality hint that can be used by the Batch service to select a Compute Node on which to start the new Task.

constraints

The execution constraints that apply to this Task. If you do not specify constraints, the maxTaskRetryCount is the maxTaskRetryCount specified for the Job, the maxWallClockTime is infinite, and the retentionTime is 7 days.

required_slots
int

The number of scheduling slots that the Task required to run. The default is 1. A Task can only be scheduled to run on a compute node if the node has enough free scheduling slots available. For multi-instance Tasks, this must be 1.

user_identity

The user identity under which the Task runs. If omitted, the Task runs as a non-administrative user unique to the Task.

multi_instance_settings

An object that indicates that the Task is a multi-instance Task, and contains information about how to run the multi-instance Task.

depends_on

The Tasks that this Task depends on. This Task will not be scheduled until all Tasks that it depends on have completed successfully. If any of those Tasks fail and exhaust their retry counts, this Task will never be scheduled. If the Job does not have usesTaskDependencies set to true, and this element is present, the request fails with error code TaskDependenciesNotSpecifiedOnJob.

application_package_references

A list of Packages that the Batch service will deploy to the Compute Node before running the command line. Application packages are downloaded and deployed to a shared directory, not the Task working directory. Therefore, if a referenced package is already on the Node, and is up to date, then it is not re-downloaded; the existing copy on the Compute Node is used. If a referenced Package cannot be installed, for example because the package has been deleted or because download failed, the Task fails.

Methods

as_dict

Return a dict that can be turned into json using json.dump.

clear

Remove all items from D.

copy
get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

items
keys
pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

values

as_dict

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Name Description
exclude_readonly

Whether to remove the readonly properties.

Default value: False

Returns

Type Description

A dict JSON compatible object

clear

Remove all items from D.

clear() -> None

copy

copy() -> Model

get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

Name Description
key
Required
default
Default value: None

items

items() -> ItemsView[str, Any]

Returns

Type Description

set-like object providing a view on D's items

keys

keys() -> KeysView[str]

Returns

Type Description

a set-like object providing a view on D's keys

pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values

values() -> ValuesView[Any]

Returns

Type Description

an object providing a view on D's values

Attributes

affinity_info

A locality hint that can be used by the Batch service to select a Compute Node on which to start the new Task.

affinity_info: _models.BatchAffinityInfo | None

application_package_references

A list of Packages that the Batch service will deploy to the Compute Node before running the command line. Application packages are downloaded and deployed to a shared directory, not the Task working directory. Therefore, if a referenced package is already on the Node, and is up to date, then it is not re-downloaded; the existing copy on the Compute Node is used. If a referenced Package cannot be installed, for example because the package has been deleted or because download failed, the Task fails.

application_package_references: list['_models.BatchApplicationPackageReference'] | None

command_line

The command line of the Task. For multi-instance Tasks, the command line is executed as the primary Task, after the primary Task and all subtasks have finished executing the coordination command line. The command line does not run under a shell, and therefore cannot take advantage of shell features such as environment variable expansion. If you want to take advantage of such features, you should invoke the shell in the command line, for example using "cmd /c MyCommand" in Windows or "/bin/sh -c MyCommand" in Linux. If the command line refers to file paths, it should use a relative path (relative to the Task working directory), or use the Batch provided environment variable (https://learn.microsoft.com/azure/batch/batch-compute-node-environment-variables). Required.

command_line: str

constraints

The execution constraints that apply to this Task. If you do not specify constraints, the maxTaskRetryCount is the maxTaskRetryCount specified for the Job, the maxWallClockTime is infinite, and the retentionTime is 7 days.

constraints: _models.BatchTaskConstraints | None

container_settings

The settings for the container under which the Task runs. If the Pool that will run this Task has containerConfiguration set, this must be set as well. If the Pool that will run this Task doesn't have containerConfiguration set, this must not be set. When this is specified, all directories recursively below the AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch directories on the node) are mapped into the container, all Task environment variables are mapped into the container, and the Task command line is executed in the container. Files produced in the container outside of AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning that Batch file APIs will not be able to access those files.

container_settings: _models.BatchTaskContainerSettings | None

depends_on

The Tasks that this Task depends on. This Task will not be scheduled until all Tasks that it depends on have completed successfully. If any of those Tasks fail and exhaust their retry counts, this Task will never be scheduled. If the Job does not have usesTaskDependencies set to true, and this element is present, the request fails with error code TaskDependenciesNotSpecifiedOnJob.

depends_on: _models.BatchTaskDependencies | None

display_name

A display name for the Task. The display name need not be unique and can contain any Unicode characters up to a maximum length of 1024.

display_name: str | None

environment_settings

A list of environment variable settings for the Task.

environment_settings: list['_models.EnvironmentSetting'] | None

exit_conditions

How the Batch service should respond when the Task completes.

exit_conditions: _models.ExitConditions | None

id

A string that uniquely identifies the Task within the Job. The ID can contain any combination of alphanumeric characters including hyphens and underscores, and cannot contain more than 64 characters. The ID is case-preserving and case-insensitive (that is, you may not have two IDs within a Job that differ only by case). Required.

id: str

multi_instance_settings

An object that indicates that the Task is a multi-instance Task, and contains information about how to run the multi-instance Task.

multi_instance_settings: _models.MultiInstanceSettings | None

output_files

A list of files that the Batch service will upload from the Compute Node after running the command line. For multi-instance Tasks, the files will only be uploaded from the Compute Node on which the primary Task is executed.

output_files: list['_models.OutputFile'] | None

required_slots

The number of scheduling slots that the Task required to run. The default is 1. A Task can only be scheduled to run on a compute node if the node has enough free scheduling slots available. For multi-instance Tasks, this must be 1.

required_slots: int | None

resource_files

A list of files that the Batch service will download to the Compute Node before running the command line. For multi-instance Tasks, the resource files will only be downloaded to the Compute Node on which the primary Task is executed. There is a maximum size for the list of resource files. When the max size is exceeded, the request will fail and the response error code will be RequestEntityTooLarge. If this occurs, the collection of ResourceFiles must be reduced in size. This can be achieved using .zip files, Application Packages, or Docker Containers.

resource_files: list['_models.ResourceFile'] | None

user_identity

The user identity under which the Task runs. If omitted, the Task runs as a non-administrative user unique to the Task.

user_identity: _models.UserIdentity | None