Vincit/objection.js
Objection.js
Objection.js is an object-relational mapper for Node.js that maps SQL database tables to classes and rows to model instances. It functions as a high-level abstraction layer built on top of the Knex.js query builder to provide structured model definitions and relational data mapping.
The project distinguishes itself through its ability to manage complex object graphs, allowing for the persistence and eager-loading of deeply nested related data in single operations. It incorporates a data integrity layer that uses JSON schema validation to verify model instances before they are persisted to the database.
The toolset covers broad relational modeling capabilities, including the definition of associations between entities, atomic transaction management, and support for composite primary keys. It also provides utilities for document storage by persisting complex objects as JSON strings within relational columns and uses mixins to share reusable logic across different data models.
Features
- Object-Relational Mappers - Provides a comprehensive object-relational mapper that links database tables to JavaScript classes and rows to model instances.
- Active-Record ORMs - Implements an ORM based on the Active Record pattern where models encapsulate data access logic.
- Object-Relational Mapping - Maps programming language objects to database records and manages complex relationships between them.
- Transaction Lifecycle Control - Runs groups of operations as an atomic unit that commits or rolls back based on the total outcome.
- Object-to-Row Mapping - Links database table rows directly to object instances to provide an object-oriented data interface.
- Model-Level Integrity Enforcement - Enforces data integrity using JSON schema definitions during instantiation and throws errors for invalid data.
- Atomic Transactions - Provides mechanisms to execute multiple data manipulation operations as a single atomic unit to ensure consistency.
- Database Query Builders - Provides a fluent interface for programmatic SQL construction to perform CRUD operations.
- Eager Loading - Retrieves complex sets of related objects in a single operation to minimize database round-trips.
- Database Record Querying - Implements mechanisms for retrieving data from tables using filters, sorting, and programmatic method chaining.
- Database Transaction Management - Offers programmatic control of transaction boundaries and context-aware database operations to ensure consistency.
- Schema Validators - Uses schema validators to verify that JSON documents adhere to predefined structures before saving to the database.
- Node.js SQL ORMs - Provides a comprehensive object-relational mapper for Node.js that maps database tables to classes.
- Object-Relational Mapping Associations - Provides mechanisms for managing relational associations and foreign key links between database entities.
- Object-Relational Mapping Models - Provides structural definitions for mapping application data models to database table columns and types.
- Query Builders - Wraps a low-level SQL query builder to translate programmatic method chains into executable database queries.
- Relational Data Modeling - Provides techniques for organizing data into structured tables with defined associations for SQL storage.
- Schema Validators - Enforces structural rules and data type constraints on database documents using JSON schema validation.
- Node.js Database Integration - Provides a high-level programmatic interface for connecting Node.js applications to SQL database systems.
- JSON Schema Validation - Enforces data integrity by validating model instances against structured JSON schema definitions before persistence.
- Column Mappings - Implements configurations for mapping application class properties to database columns, including case conversion.
- Raw SQL Execution - Supports direct execution of raw SQL queries with parameter binding for advanced database operations.
- Row Mapping Logic - Converts SQL result set rows into rich model instances to enable custom logic on retrieved data.
- Composite - Identifies unique rows using either a single column or multiple columns to support various schema designs.
- Hybrid Relational-JSON Storage - Saves complex objects as JSON strings within traditional relational database columns and restores them to objects.
- Nested Data Persistence - Provides capabilities for creating or updating complex, deeply nested object graphs in a single operation.
- Relation Graph Upserting - Synchronizes related objects by inserting new records, updating existing ones, and deleting missing entries in one operation.
- Eager Loading - Implements eager loading of related data graphs using joins or batch queries to eliminate N+1 query performance issues.
- Relationship Management - Provides capabilities for creating, modifying, and filtering associations between data entities.
- SQL Query Builders - Provides utilities for programmatically constructing structured SQL query operations.
- Database Model Mixins - Uses mixins to inject shared methods and properties into database-mapped model class prototypes.
- Model Extensions - Allows extending models with custom metadata and lifecycle behavior using reusable logic.
- Case-Conversion Mappings - Automatically translates between database snake_case column names and application camelCase properties during data hydration.
- Datenbanken - Lightweight ORM based on Knex.
- Object Relational Mappers - Lightweight ORM built on Knex.
- Search and Databases - Provides a SQL-friendly ORM built on Knex.
