- Release Notes and Announcements
- User Guide
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Access Management
- Instance Management
- Node Management
- Version Upgrade
- Monitoring
- Backup and Rollback
- Data Security
- SSL Authentication
- Database Management
- Multi-AZ Deployment
- Public Network Access
- Disaster Recovery/Read-Only Instances
- Parameter Configuration
- Recycle Bin
- Task Management
- Performance Optimization
- Data Migration Guide
- Best Practice
- Optimizing Indexes to Break Through Read/Write Performance Bottlenecks
- Troubleshooting Mongos Load Imbalance in Sharded Cluster
- Troubleshooting Excessive Slow Queries
- Fixing High CPU Utilization in MongoDB Instance Based on DBbrain
- Troubleshooting Excessive Connections
- Troubleshooting High Request Latency Based on Slow Log
- Troubleshooting High CPU Utilization
- Considerations for Using Shard Clusters
- Sample of Reading and Writing Data in MongoDB Instance
- Export and Import
- Troubleshooting MongoDB Connection Failures
- Performance Fine-Tuning
- Ops and Development Guide
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Instance APIs
- RenameInstance
- OfflineIsolatedDBInstance
- ModifyDBInstanceSpec
- IsolateDBInstance
- DescribeSpecInfo
- DescribeDBInstances
- DescribeClientConnections
- CreateDBInstanceHour
- AssignProject
- RenewDBInstances
- DescribeSlowLogs
- DescribeSlowLogPatterns
- InquirePriceRenewDBInstances
- InquirePriceModifyDBInstanceSpec
- InquirePriceCreateDBInstances
- DescribeDBInstanceDeal
- DescribeSecurityGroup
- DescribeInstanceParams
- ModifyDBInstanceSecurityGroup
- ModifyDBInstanceNetworkAddress
- Backup APIs
- Account APIs
- Task APIs
- Other APIs
- Data Types
- Error Codes
- Instance Connection
- FAQs
- Service Agreement
- Glossary
- Contact Us
- Release Notes and Announcements
- User Guide
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Access Management
- Instance Management
- Node Management
- Version Upgrade
- Monitoring
- Backup and Rollback
- Data Security
- SSL Authentication
- Database Management
- Multi-AZ Deployment
- Public Network Access
- Disaster Recovery/Read-Only Instances
- Parameter Configuration
- Recycle Bin
- Task Management
- Performance Optimization
- Data Migration Guide
- Best Practice
- Optimizing Indexes to Break Through Read/Write Performance Bottlenecks
- Troubleshooting Mongos Load Imbalance in Sharded Cluster
- Troubleshooting Excessive Slow Queries
- Fixing High CPU Utilization in MongoDB Instance Based on DBbrain
- Troubleshooting Excessive Connections
- Troubleshooting High Request Latency Based on Slow Log
- Troubleshooting High CPU Utilization
- Considerations for Using Shard Clusters
- Sample of Reading and Writing Data in MongoDB Instance
- Export and Import
- Troubleshooting MongoDB Connection Failures
- Performance Fine-Tuning
- Ops and Development Guide
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Instance APIs
- RenameInstance
- OfflineIsolatedDBInstance
- ModifyDBInstanceSpec
- IsolateDBInstance
- DescribeSpecInfo
- DescribeDBInstances
- DescribeClientConnections
- CreateDBInstanceHour
- AssignProject
- RenewDBInstances
- DescribeSlowLogs
- DescribeSlowLogPatterns
- InquirePriceRenewDBInstances
- InquirePriceModifyDBInstanceSpec
- InquirePriceCreateDBInstances
- DescribeDBInstanceDeal
- DescribeSecurityGroup
- DescribeInstanceParams
- ModifyDBInstanceSecurityGroup
- ModifyDBInstanceNetworkAddress
- Backup APIs
- Account APIs
- Task APIs
- Other APIs
- Data Types
- Error Codes
- Instance Connection
- FAQs
- Service Agreement
- Glossary
- Contact Us
Overview
TencentDB for MongoDB is a high-performance distributed file storage database service created by Tencent Cloud based on MongoDB, an open-source NoSQL database. It is fully compatible with the MongoDB protocol and has a rich set of features, such as multi-node high-availability architecture, backup and restoration, elastic scaling, disaster recovery, managed Ops, and performance tuning.
Data structure
MongoDB is a document-oriented NoSQL (non-relational) database. Its data structure consists of fields and values like JSON objects. Below is an example:
{name:"John Smith",sex:"Male",age:25,status:"A",groups:["news","sports"]}
Storage structure
MongoDB's storage structure consists of the following three units:
Document: It is the most basic unit in MongoDB and composed of BSON key-value pairs.
{name:"Jane Smith",sex:"Female",age:25,status:"A"}
Collection: A MongoDB collection can contain multiple documents. For example, you can insert documents with different data structures into the same collection.
{name:"Jane Smith",sex:"Female",age:25,status:"A"}{name:"Jane Smith",sex:"Female",age:25,status:"A"}{name:"Harry Smith",sex:"Male",age:26,status:"A",groups:["news","sports"]}
Database: A MongoDB database can contain multiple collections, and you can create multiple databases.
Why TencentDB for MongoDB
Understanding TencentDB for MongoDB
You can gradually understand TencentDB for MongoDB's terms, system architectures, use limits, and advanced operations.
Activating TencentDB for MongoDB
You can learn more about the billable items of TencentDB for MongoDB in Billing Overview, select an appropriate billing mode as needed, and log in to the purchase page with your Tencent Cloud account to activate the service.
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