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sequelize
Advanced tools
Sequelize is a promise-based Node.js ORM (Object-Relational Mapping) library for Postgres, MySQL, MariaDB, SQLite, and Microsoft SQL Server. It features solid transaction support, relations, eager and lazy loading, read replication and more. Sequelize follows the Active Record paradigm and allows developers to define models and their relationships in a way that abstracts database access, making it easier to maintain and evolve the application codebase.
Model Definition
This feature allows you to define models in Sequelize, which represent tables in the database. Each model can have various attributes and their respective data types.
const User = sequelize.define('user', { username: Sequelize.STRING, birthday: Sequelize.DATE });
CRUD Operations
Sequelize provides methods for creating, reading, updating, and deleting records in the database, which correspond to the CRUD operations.
User.create({ username: 'alice', birthday: new Date(1986, 6, 20) }); User.findAll(); User.update({ username: 'alicejr' }, { where: { id: 1 } }); User.destroy({ where: { id: 1 } });
Associations
This feature allows you to define associations between models. For example, a user can have many posts, and a post belongs to a user.
User.hasMany(Post); Post.belongsTo(User);
Transactions
Sequelize supports transactions which allow you to execute multiple queries in an atomic way, ensuring data integrity.
sequelize.transaction(transaction => { return User.create({ username: 'bob' }, { transaction }); });
Migrations
Sequelize has a migration tool that allows you to define changes to the database schema, which can be applied and rolled back programmatically.
module.exports = { up: (queryInterface, Sequelize) => { return queryInterface.createTable('users', { id: { allowNull: false, autoIncrement: true, primaryKey: true, type: Sequelize.INTEGER }, username: { type: Sequelize.STRING } }); }, down: (queryInterface, Sequelize) => { return queryInterface.dropTable('users'); } };
Mongoose is an ODM (Object Data Modeling) library for MongoDB and Node.js. It manages relationships between data, provides schema validation, and is used to translate between objects in code and the representation of those objects in MongoDB. Compared to Sequelize, Mongoose is specific to MongoDB, whereas Sequelize supports multiple SQL databases.
TypeORM is an ORM that can run in Node.js and be used with TypeScript and JavaScript (ES5, ES6, ES7, ES8). It supports the Data Mapper pattern, unlike Sequelize which is more Active Record. TypeORM is highly influenced by other ORMs, such as Hibernate, Doctrine, and Entity Framework.
Knex.js is a SQL query builder for Postgres, MSSQL, MySQL, MariaDB, SQLite3, Oracle, and Amazon Redshift, designed to be flexible, portable, and fun to use. It does not provide full ORM capabilities but allows you to build and run SQL queries in a more programmatic and database-agnostic way. It is often used with objection.js, which is an ORM built on top of Knex.
Bookshelf.js is a JavaScript ORM for Node.js, built on the Knex SQL query builder. It features transaction support, eager/nested-eager relation loading, and polymorphic associations. Bookshelf follows a somewhat similar pattern to Sequelize but is built on top of Knex, which gives it a different flavor in terms of query building.
The Sequelize library provides easy access to a MySQL database by mapping database entries to objects and vice versa. To put it in a nutshell... it's an ORM (Object-Relational-Mapper). The library is written entirely in JavaScript and can be used in the Node.JS environment.
You can find the documentation and announcements of updates on the project's website.
If you want to know about latest development and releases, follow me on Twitter.
Also make sure to take a look at the examples in the repository. The website will contain them soon, as well.
In order to run the tests, you need the expresso framework! When installed just run:
expresso -s test/**/*
FAQs
Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Amazon Redshift and Snowflake’s Data Cloud. It features solid transaction support, relations, eager and lazy loading, read replication and more.
We found that sequelize demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 8 open source maintainers collaborating on the project.
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