Certainly! Here is a comprehensive list of 100 chapter titles for a book on GORM (Go Object-Relational Mapping), covering topics from beginner to advanced:
- What is GORM? An Overview of Go’s ORM
- Setting Up GORM in Your Go Project
- Understanding the Role of ORM in Web Development
- GORM vs Other Go ORMs: A Comparison
- The Basics of Database Operations in GORM
- Connecting GORM to Different Databases (PostgreSQL, MySQL, SQLite)
- Creating Your First Model with GORM
- Introduction to GORM's Model Structs and Tags
- Basic CRUD Operations in GORM
- Understanding GORM’s Migration System
- Inserting Records into a Database with GORM
- Retrieving Data Using GORM Queries
- Updating Records in GORM
- Deleting Records in GORM
- Using Find and First for Querying
- GORM’s Auto Migration: Simplified Schema Management
- Saving and Updating Records in GORM
- Using Transactions in GORM
- GORM's
Create
and Save
Methods: Differences and Use Cases
- Batch Inserts and Updates with GORM
- Basic Querying with
Where
in GORM
- Sorting Data in GORM with
Order
- Filtering Data with
Select
and Not
in GORM
- Using
Limit
, Offset
, and Pagination with GORM
- Grouping Results with
Group
and Having
in GORM
- Complex Queries with
Joins
in GORM
- Using
Preload
for Eager Loading in GORM
- Lazy Loading with GORM’s Associations
- Working with Aggregate Functions in GORM (Count, Sum, etc.)
- Subqueries in GORM: How to Use Them
¶ Part 4: Relationships and Associations in GORM
- Understanding Relationships in GORM (One-to-One, One-to-Many, Many-to-Many)
- Defining One-to-One Relationships in GORM
- Working with One-to-Many Relationships in GORM
- Creating Many-to-Many Relationships in GORM
- Using
ForeignKey
and AssociationForeignKey
for Customizing Relationships
- Handling Nested Structs and Associations in GORM
- GORM’s
Preload
and Joins
for Efficient Relationships
- Cascading Operations with Associations in GORM
- Handling Association Updates and Deletes in GORM
- Defining Polymorphic Relationships in GORM
- Using Hooks in GORM for Custom Logic
- Creating Custom Validation Logic in GORM
- Working with Raw SQL Queries in GORM
- Customizing the Behavior of GORM’s Model Methods
- Handling Soft Deletes in GORM
- Managing Database Constraints and Indexes in GORM
- Using GORM with JSON and JSONB Fields
- Upgrading GORM Models without Data Loss
- Batch Processing and Bulk Operations in GORM
- Performance Optimization in GORM Queries
¶ Part 6: GORM and Advanced Data Handling
- Working with Enum Types in GORM
- Handling NULL Values and Zero Values in GORM
- Handling Dates and Times in GORM
- Storing and Querying Binary Data in GORM
- Efficiently Handling Large Data Sets with GORM
- Data Validation and Constraints in GORM
- Handling Large Migrations with GORM
- Using JSON Fields for Storing Dynamic Data
- Building Custom Types and Migrations in GORM
- Integrating GORM with GraphQL for Efficient Data Queries
¶ Part 7: GORM Testing and Debugging
- Setting Up GORM for Unit Testing
- Mocking GORM Database Queries in Tests
- Using In-Memory Databases for Testing GORM
- Debugging and Profiling GORM Queries
- Testing CRUD Operations in GORM
- Mocking Database Connections for Unit Testing
- Best Practices for Testing GORM Models and Queries
- Handling Errors and Logging in GORM
- Using Transactions for Isolated Tests in GORM
- Test Coverage in GORM Projects
- Query Optimization in GORM
- Reducing Database Round-Trips in GORM
- Optimizing
Preload
and Joins
in GORM
- Caching Strategies for GORM Queries
- Indexing and Query Execution Plans in GORM
- Using Bulk Insert and Updates for Performance Gains
- Reducing Memory Usage with GORM’s Lazy Loading
- Database Connection Pooling and GORM
- Scaling GORM Applications for High Traffic
- Performance Monitoring and Profiling in GORM
- Handling SQL Injection and Other Vulnerabilities in GORM
- Using Prepared Statements with GORM
- Securing Sensitive Data with GORM
- Role-Based Access Control (RBAC) and GORM
- Enforcing Data Integrity and Constraints in GORM
- Auditing Changes with GORM Hooks
- Database Encryption with GORM
- Securing Transactions in GORM
- Preventing ORM Injection Attacks
- Best Practices for Securing GORM Models and Data
- Deploying GORM Applications to Production
- Handling Migrations in a Production Environment
- Managing Database Connections in Production with GORM
- Using GORM with Cloud Databases (AWS RDS, Google Cloud SQL, etc.)
- Database Backup Strategies in GORM
- Scaling GORM for High-Availability Applications
- Using GORM with Docker and Kubernetes
- Monitoring GORM Performance in Production
- Backup and Restore Strategies with GORM
- Maintaining and Upgrading GORM Applications in Production
These chapters span the essentials of getting started with GORM all the way to advanced topics like performance tuning, security, and deployment. With these chapters, readers will gain a comprehensive understanding of using GORM in Go applications for building efficient, scalable, and secure database-driven applications.