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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from .create_job_parameters import CreateJobParameters
class CreateScopeJobParameters(CreateJobParameters):
"""The parameters used to submit a new Data Lake Analytics Scope job. (Only
for use internally with Scope job type.).
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
:param tags: The key-value pairs used to add additional metadata to the
job information.
:type tags: dict[str, str]
"""
_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'},
'tags': {'key': 'tags', 'type': '{str}'},
}
def __init__(self, **kwargs):
super(CreateScopeJobParameters, self).__init__(**kwargs)
self.tags = kwargs.get('tags', None)
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