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Platform
Atlas
Build and scale with an AI-ready platform
Platform Services
Database
Deploy a multi-cloud database
Search
Deliver engaging search experiences
Vector Search
Design intelligent apps with gen AI
Stream Processing
Integrate MongoDB and Kafka
Self Managed
Enterprise Advanced
Run and manage MongoDB yourself
Community Edition
Develop locally with MongoDB
Tools
Compass
Work with MongoDB data in a GUI
Integrations
Integrations with third-party services
Relational Migrator
Migrate to MongoDB with confidence
View All Products
Explore our full developer suite
arrow-right
MongoDB 8.0
Our fastest version ever
arrow-right
Build with MongoDB Atlas
Get started for free in minutes
Sign Up
Test Enterprise Advanced
Develop with MongoDB on-premises
Download
Try Community Edition
Explore the latest version of MongoDB
Download
Resources
Documentation
Atlas Documentation
Get started using Atlas
Server Documentation
Learn to use MongoDB
Tools and Connectors
Learn how to connect to MongoDB
MongoDB Drivers
Use drivers and libraries for MongoDB
Resources Hub
Get help building the next big thing with MongoDB
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Connect
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Join a global community of developers
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Solutions Library
Organized and tailored solutions to kick-start projects
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AI Applications Program
Expedite your AI journey with expert guidance
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模式设计模式
复制页面
使用模式设计模式,根据应用程序查询和使用数据的方式优化数据模型。
处理计算值
在数据库中执行计算,以便在客户端请求数据时准备好结果。
分组数据
将数据分组为序列,以提高性能并考虑异常值。
多态数据
在单个集合中处理可变文档字段和数据类型。
文档和模式版本控制
准备模式变更,以满足不断变化的技术要求。
存档模式
将旧数据移动到数据访问最频繁的单独位置,以增加存储并提高性能。
单一集合模式
使用引用将不同类型的相关文档群组到一个集合中。
后退
createIndexes
来年
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8.3 (当前)
Overview
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数据库和collection
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客户端库
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数据库用户
增删改查操作
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最佳实践
设计您的模式
模式设计模式
计算值
分组数据
多态数据
版本控制
Archive Data
单一集合
模式设计反模式
对关系建模
对树结构进行建模
示例应用程序模型
聚合操作
搜索
Vector Search
时间序列
Change Streams
事务
Data Federation
正在使用的加密
开发检查清单
复制
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Charts
参考
支持
构建AI应用程序
AI 模型 API
AI 集成
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流媒体数据
Atlas Stream Processing
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搜索和向量搜索发布说明