Core knowledge points of MongoDB
1. Introduction and Basic Concepts of MongoDB
- Definition and Features of MongoDB
- Differences Between NoSQL and Relational Databases
- Use Cases and Advantages of MongoDB
- Data Model in MongoDB (Documents, Collections, Databases)
- Storage Engines in MongoDB (WiredTiger, In-Memory)
- Versions and Editions of MongoDB (Community, Enterprise, Atlas)
- Installation and Basic Configuration of MongoDB
- Client Tools for MongoDB (Mongo Shell, Compass, Third-Party Drivers)
- JSON and BSON Data Formats in MongoDB
2. Basic Operations in MongoDB
- Creating and Deleting Databases
- Creating and Deleting Collections
- Inserting Documents (insertOne, insertMany)
- Querying Documents (find, findOne)
- Updating Documents (updateOne, updateMany, replaceOne)
- Deleting Documents (deleteOne, deleteMany)
- Bulk Operations (bulkWrite)
- Query Operators (Comparison, Logical, Element, Array, Bitwise, etc.)
- Projection and Field Filtering
- Sorting (sort) and Pagination (limit, skip)
- Aggregation Operations (count, distinct)
3. Indexing and Query Optimization in MongoDB
- Purpose and Principles of Indexes
- Single-Field and Compound Indexes
- Multikey Indexes (Array Field Indexes)
- Text Indexes and Full-Text Search
- Geospatial Indexes (2d, 2dsphere)
- Hashed and TTL Indexes
- Index Properties (Unique, Sparse, Partial Indexes)
- Creating, Viewing, and Deleting Indexes
- Execution Plans (explain) and Query Performance Analysis
- Index Optimization Strategies and Common Issues
- Covered Queries
- Index Selection and Sorting Optimization
4. MongoDB Aggregation Framework
- Overview of Aggregation Pipeline
- Common Aggregation Stages ($match, $project, $group, $sort, etc.)
- Expressions and Operators (Arithmetic, Comparison, Date, String, etc.)
- Data Grouping and Statistics ($group, $sum, $avg, etc.)
- Joining Collections ($lookup)
- Array Processing ($unwind, $filter, $slice, etc.)
- Window Functions ($setWindowFields)
- Aggregation Optimization and Performance Tuning
- MapReduce (Basic Concepts and Use Cases)
5. MongoDB Data Modeling
- Principles of Document Structure Design
- Referential Relationships
- Modeling One-to-Many and Many-to-Many Relationships
- Tree Structure Modeling (Parent References, Child References, Path Enumeration)
- Schema Versioning and Migration Strategies
- Sharding and Partitioning Strategies
- Read/Write Load Balancing Design
- Data Redundancy and High Availability Design
6. MongoDB Transactions and Consistency
- ACID Transaction Support (Single-Document and Multi-Document Transactions)
- Transaction Isolation Levels and Concurrency Control
- Write Concern and Read Preference
- Causal Consistency
- Usage and Limitations of Multi-Document Transactions
- Transaction Timeouts and Retry Mechanisms
- Distributed Transactions (Cross-Shard Transactions)
7. MongoDB Replication and High Availability
- Replica Set Architecture
- Primary and Secondary Nodes
- Election Mechanism and Failover
- Data Synchronization (Oplog) and Delayed Nodes
- Read/Write Splitting and Load Balancing
- Replica Set Configuration and Management
- Replica Set Monitoring and Troubleshooting
8. MongoDB Sharding and Horizontal Scaling
- Sharded Cluster Architecture
- Shard Key Selection Strategies
- Sharding Strategies (Range, Hash, Zone Sharding)
- Config Servers and Query Routing (mongos)
- Scaling Sharded Clusters (Expansion and Reduction)
- Balancer and Data Migration
- Monitoring and Optimization of Sharded Clusters
- Combining Sharding and Replica Sets
9. MongoDB Security and Access Control
- Authentication Mechanisms (SCRAM, x.509, LDAP, etc.)
- Roles and Permissions Management (Built-in and Custom Roles)
- User Management and Access Control
- Encrypted Transport (TLS/SSL)
- Data Encryption (Field-Level and Storage Encryption)
- Audit Logging
- Network Security and Firewall Configuration
- Security Features of MongoDB Atlas
10. MongoDB Backup and Recovery
- Backup Strategies (Logical and Physical Backups)
- mongodump and mongorestore
- Filesystem Snapshot Backups
- Incremental Backups and Point-in-Time Recovery
- Oplog Backups and Recovery
- Backup and Recovery for Sharded Clusters
- Backup Features in MongoDB Atlas
- Disaster Recovery and Data Migration
11. MongoDB Monitoring and Performance Tuning
- Key Metrics (CPU, Memory, Disk, Network)
- Built-in Monitoring Tools (mongostat, mongotop)
- Third-Party Monitoring Tools (Prometheus, Grafana, Ops Manager)
- Slow Query Analysis and Optimization
- Memory Management and Cache Tuning
- Disk I/O Optimization
- Connection Pool Management and Concurrency Control
- Performance Benchmarking (YCSB, etc.)
12. MongoDB Application Development and Drivers
- Official Drivers (Python, Java, Node.js, etc.)
- ORM Frameworks (Mongoose, Spring Data MongoDB)
- Connection Management and Pool Configuration
- Asynchronous and Non-Blocking Operations
- Change Streams and Real-Time Data Processing
- Using Transactions in Applications
- Best Practices and Common Issue Troubleshooting
13. MongoDB Cloud Services and Ecosystem Tools
- MongoDB Atlas (Managed Service)
- Atlas Search and Full-Text Search
- Atlas Data Lake and Analytics
- MongoDB Compass (GUI Tool)
- BI Connectors and Data Visualization
- Kafka Connector and Data Integration
- MongoDB and Big Data Ecosystem (Spark, Hadoop)
14. Common Issues and Best Practices in MongoDB
本站部分内容来自互联网,一切版权均归源网站或源作者所有。
如果侵犯了你的权益请来信告知我们删除。邮箱：cc@cccx.cn
