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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 .mongo_db_object_info_py3 import MongoDbObjectInfo
class MongoDbDatabaseInfo(MongoDbObjectInfo):
"""Describes a database within a MongoDB data source.
All required parameters must be populated in order to send to Azure.
:param average_document_size: Required. The average document size, or -1
if the average size is unknown
:type average_document_size: long
:param data_size: Required. The estimated total data size, in bytes, or -1
if the size is unknown.
:type data_size: long
:param document_count: Required. The estimated total number of documents,
or -1 if the document count is unknown
:type document_count: long
:param name: Required. The unqualified name of the database or collection
:type name: str
:param qualified_name: Required. The qualified name of the database or
collection. For a collection, this is the database-qualified name.
:type qualified_name: str
:param collections: Required. A list of supported collections in a MongoDB
database
:type collections:
list[~azure.mgmt.datamigration.models.MongoDbCollectionInfo]
:param supports_sharding: Required. Whether the database has sharding
enabled. Note that the migration task will enable sharding on the target
if necessary.
:type supports_sharding: bool
"""
_validation = {
'average_document_size': {'required': True},
'data_size': {'required': True},
'document_count': {'required': True},
'name': {'required': True},
'qualified_name': {'required': True},
'collections': {'required': True},
'supports_sharding': {'required': True},
}
_attribute_map = {
'average_document_size': {'key': 'averageDocumentSize', 'type': 'long'},
'data_size': {'key': 'dataSize', 'type': 'long'},
'document_count': {'key': 'documentCount', 'type': 'long'},
'name': {'key': 'name', 'type': 'str'},
'qualified_name': {'key': 'qualifiedName', 'type': 'str'},
'collections': {'key': 'collections', 'type': '[MongoDbCollectionInfo]'},
'supports_sharding': {'key': 'supportsSharding', 'type': 'bool'},
}
def __init__(self, *, average_document_size: int, data_size: int, document_count: int, name: str, qualified_name: str, collections, supports_sharding: bool, **kwargs) -> None:
super(MongoDbDatabaseInfo, self).__init__(average_document_size=average_document_size, data_size=data_size, document_count=document_count, name=name, qualified_name=qualified_name, **kwargs)
self.collections = collections
self.supports_sharding = supports_sharding
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