Source code for azure.mgmt.batch.models.start_task

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from msrest.serialization import Model


[docs]class StartTask(Model): """A task which is run when a compute node joins a pool in the Azure Batch service, or when the compute node is rebooted or reimaged. :param command_line: The command line of the start task. 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. Required if any other properties of the startTask are specified. :type command_line: str :param resource_files: A list of files that the Batch service will download to the compute node before running the command line. :type resource_files: list[~azure.mgmt.batch.models.ResourceFile] :param environment_settings: A list of environment variable settings for the start task. :type environment_settings: list[~azure.mgmt.batch.models.EnvironmentSetting] :param user_identity: The user identity under which the start task runs. If omitted, the task runs as a non-administrative user unique to the task. :type user_identity: ~azure.mgmt.batch.models.UserIdentity :param max_task_retry_count: The maximum number of times the task may be retried. The Batch service retries a task if its exit code is nonzero. Note that this value specifically controls the number of retries. The Batch service will try the task once, and may then retry up to this limit. For example, if the maximum retry count is 3, Batch tries the task up to 4 times (one initial try and 3 retries). If the maximum retry count is 0, the Batch service does not retry the task. If the maximum retry count is -1, the Batch service retries the task without limit. :type max_task_retry_count: int :param wait_for_success: Whether the Batch service should wait for the start task to complete successfully (that is, to exit with exit code 0) before scheduling any tasks on the compute node. If true and the start task fails on a compute node, the Batch service retries the start task up to its maximum retry count (maxTaskRetryCount). If the task has still not completed successfully after all retries, then the Batch service marks the compute node unusable, and will not schedule tasks to it. This condition can be detected via the node state and scheduling error detail. If false, the Batch service will not wait for the start task to complete. In this case, other tasks can start executing on the compute node while the start task is still running; and even if the start task fails, new tasks will continue to be scheduled on the node. The default is false. :type wait_for_success: bool """ _attribute_map = { 'command_line': {'key': 'commandLine', 'type': 'str'}, 'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'}, 'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'}, 'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'}, 'max_task_retry_count': {'key': 'maxTaskRetryCount', 'type': 'int'}, 'wait_for_success': {'key': 'waitForSuccess', 'type': 'bool'}, } def __init__(self, command_line=None, resource_files=None, environment_settings=None, user_identity=None, max_task_retry_count=None, wait_for_success=None): super(StartTask, self).__init__() self.command_line = command_line self.resource_files = resource_files self.environment_settings = environment_settings self.user_identity = user_identity self.max_task_retry_count = max_task_retry_count self.wait_for_success = wait_for_success