Get your ideas to market faster with a flexible, AI-ready database. MongoDB makes working with data easy.
MongoDBDatabaseGetResultsInner NotebookWorkspaceConnectionInfoResultInner NotebookWorkspaceInner NotebookWorkspaceProperties OperationInner PartitionMetricInner PartitionUsageInner PercentileMetricInner PrivateEndpointConnectionInner PrivateEndpointConnectionProperties ...
Gets an object representing a MongoDBDatabaseThroughputSettingResource along with the instance operations that can be performed on it in the MongoDBDatabase.
2 def get_database(): 3 4 # Provide the mongodb atlas url to connect python to mongodb using pymongo 5 CONNECTION_STRING = "mongodb+srv://user:pass@cluster.mongodb.net/myFirstDatabase" 6 7 # Create a connection using MongoClient. You can import MongoClient or use pymongo.MongoCli...
在Database级别为某个Database设置默认writeConcern为majority: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 varmongoClient=newMongoClient("mongodb://mongo-master:27017");vardefaultDbSettings=newMongoDatabaseSettings(){WriteConcern=WMajority};varmongoDatabase=mongoClient.GetDatabase("products",defaul...
('students').getCollection('teams');coll1.update({name:'yzw-football-team'},{$set:{members:20}});varcoll2=session.getDatabase('students').getCollection('records');coll1.update({name:'Edison'},{$set:{gender:'Female'}});// 成功提交事务session.commitTransaction();// 失败事务回滚...
En savoir plus sur le Microsoft.Azure.Management.CosmosDB.Fluent.Models.MongoDBDatabaseGetResultsInner.Resource dans l’espace de noms Microsoft.Azure.Management.CosmosDB.Fluent.Models.
var client = new MongoClient("mongodb://192.168.3.202:27017");var database = client.GetDatabase("mongodbDemo");var document =BsonDocument.Parse("{ a: 1, b: [{ c: 1 }],c: 'ff'}");database.GetCollection<BsonDocument>("order").InsertOne(document); 3. 操作对象 帮助类: public...
当使用mongosh方法(Atlas UI或Compass)查询数据时可以使用操作符。 查询选择器 对比 关于不同 BSON 类型值的比较,请参阅指定的 BSON 比较顺序。 名称 说明 $eq 匹配等于指定值的值。 $gt 匹配大于指定值的值。 $gte 匹配大于等于指定值的值。 $in
db1=connetion.get_database(dbname1) ##NGTenantTemplate databse device_table=db1.get_collection(table1) devicetype_table=db1.get_collection(table2) _id='_id' typeName='typeName' mainType='mainType' vendor='vendor' action='action'