Source code for azure.mgmt.datalake.analytics.job.models.create_job_parameters_py3

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from .base_job_parameters_py3 import BaseJobParameters


[docs]class CreateJobParameters(BaseJobParameters): """The parameters used to submit a new Data Lake Analytics job. All required parameters must be populated in order to send to Azure. :param type: Required. The job type of the current job (Hive, USql, or Scope (for internal use only)). Possible values include: 'USql', 'Hive', 'Scope' :type type: str or ~azure.mgmt.datalake.analytics.job.models.JobType :param properties: Required. The job specific properties. :type properties: ~azure.mgmt.datalake.analytics.job.models.CreateJobProperties :param name: Required. The friendly name of the job to submit. :type name: str :param degree_of_parallelism: The degree of parallelism to use for this job. This must be greater than 0, if set to less than 0 it will default to 1. Default value: 1 . :type degree_of_parallelism: int :param priority: The priority value to use for the current job. Lower numbers have a higher priority. By default, a job has a priority of 1000. This must be greater than 0. :type priority: int :param log_file_patterns: The list of log file name patterns to find in the logFolder. '*' is the only matching character allowed. Example format: jobExecution*.log or *mylog*.txt :type log_file_patterns: list[str] :param related: The recurring job relationship information properties. :type related: ~azure.mgmt.datalake.analytics.job.models.JobRelationshipProperties """ _validation = { 'type': {'required': True}, 'properties': {'required': True}, 'name': {'required': True}, } _attribute_map = { 'type': {'key': 'type', 'type': 'JobType'}, 'properties': {'key': 'properties', 'type': 'CreateJobProperties'}, 'name': {'key': 'name', 'type': 'str'}, 'degree_of_parallelism': {'key': 'degreeOfParallelism', 'type': 'int'}, 'priority': {'key': 'priority', 'type': 'int'}, 'log_file_patterns': {'key': 'logFilePatterns', 'type': '[str]'}, 'related': {'key': 'related', 'type': 'JobRelationshipProperties'}, } def __init__(self, *, type, properties, name: str, degree_of_parallelism: int=1, priority: int=None, log_file_patterns=None, related=None, **kwargs) -> None: super(CreateJobParameters, self).__init__(type=type, properties=properties, **kwargs) self.name = name self.degree_of_parallelism = degree_of_parallelism self.priority = priority self.log_file_patterns = log_file_patterns self.related = related