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Knex - Herbs2Knex

Creates repositories to retrieve and store Entities using Knex, a relational database query builder for Node.js.

Installing

$ npm install @herbsjs/herbs2knex

Using

connection.js - Knex initialization:

const knex = require('knex')
const config = require('./config')
module.exports = knex(config)

itemRepository.js:

const { Repository } = require('@herbsjs/herbs2knex')
const connection = require('connection')
const { Item } = require('../domain/entities/item')

class ItemRepository extends Repository {
constructor() {
super({
entity: Item,
table: 'aTable',
ids: ['id'],
knex: connection
})
}

excludedItemFromLastWeek() {
...
}
}

someUsecase.js:

const repo = new ItemRepository()
const ret = await repo.findByID(1)

What is a Repository?

A repository, by definition, is part of the layer to retrieve and store entities abstracting the underlying implementation. By using repositories, details of these implementation such as relational database, document-oriented databases, etc., should not leak to the domain code. In other words, no raw SQL queries on your use case or entity files.

Herbs2knex Repository

In order to boost productivity, Herbs2knex provides ways to dynamically generate, on the fly (no code generation), a repository class based on your Entities and other metadata.

These metadata are necessary to close the gap between OOP concepts and paradigms and those of relational databases. For example, it is necessary to specify primary keys and foreign keys as these information do not exist in the description of your domain.

Following Herbs architecture principals, it is not the intention of this lib to create yet another ORM or query builder but to create a bridge between your domain and an existing one (Knex).

Why Knex?

Herbs2knex is just one of many bridges possible between Herbs and other packages.

The advantage of using Knex is that is a simple and flexible SQL query builder. It also supports Postgres, MSSQL, MySQL, MariaDB, SQLite3, Oracle and Amazon Redshift. Therefore, you can build your system using these databases out of the box.

Repository setup

const { Repository } = require('@herbsjs/herbs2knex')
const connection = require('connection') // Knex initialize instance
const { ProductItem } = require('../domain/entities/productItem')

class YourRepository extends Repository {
constructor() {
super({
entity: ProductItem,
schema: 'main',
table: 'product_items',
ids: ['id'],
foreignKeys: [{ customerId: String }],
knex: connection
})
}
}
  • entity - The Entity to be used as reference

    entity: ProductItem
  • schema - The schema to be used

    schema: 'production'
  • table - The name of the table in database

    table: 'product_items'
  • ids - Primary keys

    Format: ['fieldName', 'fieldName', ...]

    There must be corresponding fields in the entity.

    ids: ['id']  // productItem.id

    or for composite primary key:

    ids: [`customerId`, `productId`]  // productItem.customerId , productItem.productId

    It is possible to omit the ids property if the entity already has fields defined on it with field and the isId option or id helper functions:

    // entity definition
    const Order = entity('Order', {
    orderSequence: field(Number, { isId: true }),
    customerId: id(Number)
    })

    // repository definition
    class OrderRepository extends Repository {
    constructor({
    entity: Order,
    // same as ids: ['orderSequence', 'customerId']
    })
    }

  • foreignKeys (optional) - Foreign keys for the database table

    Usually, there is no corresponding fields declared in the entity for foreign keys. That is the reason it is necessary to inform the name and the type of the fields.

    Format: [{ fieldName: Type }, { fieldName: Type }, ...]

    foreignKeys: [{ customerId: String }]

    The field names will te converted to a database names using conventions. Ex: customer_id

  • knex - Knex initialize instance

    Check Knex documentation

Retrieving and Persisting Data

find

Find entities matched by the filter, or empty array [] if there is no matching entity.

Format: .find(options) where options is a optional object containing { where, limit, offset, orderBy }

Return: Entity array

const repo = new ItemRepository(injection)
const ret = await repo.find()

Options:

  • where Adds a filter to the query with given values.
const repo = new ItemRepository(injection)
const ret = await repo.find({ where: { name: ["Anne"] } })
  • limit Adds a limit clause to the query.
const repo = new ItemRepository(injection)
const ret = await repo.find({ limit: 10 })
  • offset Adds an offset clause to the query.
const repo = new ItemRepository(injection)
const ret = await repo.find({ offset: 5 })
  • orderBy Adds an order by clause to the query. Column can be string, or list mixed with string and object.
// order by collum
const repo = new ItemRepository(injection)
const ret = await repo.find({ orderBy: 'description'})

// order by complex query
const repo = new ItemRepository(injection)
const ret = await repo.find({ orderBy: [{ column: 'nome', order: 'desc' }, 'email'] })

findByID

Find entities by IDs

Format: .findByID(id) where id is a value or an array.

Return: Entity array

const repo = new ItemRepository(injection)
const ret = await repo.findByID(10)

insert

Insert an Entity into a table.

Format: .insert(entity) where entity is a Entity instance with values to be persisted.

Return: The inserted entity with the values from database.

const repo = new ItemRepository(injection)
const ret = await repo.insert(aNewEntity)

update

Update an Entity.

Format: .update(entity) where entity is an Entity instance with values to be persisted.

Return: The updated entity with the values from database.

const repo = new ItemRepository(injection)
const ret = await repo.update(aModifiedEntity)

delete

Delete an Entity.

Format: .delete(entity) where entity is an Entity instance to be deleted.

Return: true for success or false for error

const repo = new ItemRepository(injection)
const ret = await repo.delete(entity)

Conventions - Defaul implementation

Fields

Code: Camel Case - ex: productName

Database: Snake Case - ex: product_name

Object-Oriented versus Relational models - Relationships

An entity can define a reference for others entities but will not (and should not) define a foreign key. For instance:

+------------------+         +------------------+         +------------------+
| Orders | | OrderItems | | Products |
+------------------+ +------------------+ +------------------+
| id: int |----\ | id: int | --| id: int |
| customer_id: int | ----| order_id: int | ----/ | name: string |
+------------------+ | product_id: int |-/ +------------------+
+------------------+
const Product = entity('Product', {
id: id(Number),
name: field(String),
...
})

const OrderItem = entity('Order Items', {
id: id(Number),
product: field(Product), // optional
...
})

const Order = entity('Order', {
id: id(Number),
item: field([OrderItem]), // optional
...
})

More about: https://en.wikipedia.org/wiki/Object%E2%80%93relational_impedance_mismatch

Setting up a database - Config Files

Before we start using the database, it's required to set up the configurations. We can choose between postgres, mysql, sqlserver or mongo, database to store the data, so the setup is slightly different for each one of them. You can go directly to the one you've chosen:

KnexFile

Projects thats uses Postgres, MySQL or SQLServer use Knex.js under the hood, so in these settings we'll have a knexFile.js in root of project. Make sure your database access credentials are matched in the knexFile.js and in the appropriate configuration file founded in src/infra/config/....

The file knexFile.js it will should be like this:

module.exports = {
development: {
client: 'postgresql',
connection: {
database: 'todo-api',
user: 'postgres',
password: 'postgres',
host: '127.0.0.1',
port: 5432
},
migrations: {
directory: './src/infra/data/database/migrations',
tableName: 'knex_migrations'
}
},
staging: {},
production: {}
}

Set up with PostgreSQL

The configuration file is src/infra/config/postgres.js. It looks like this:

// src/infra/config/postgres.js
const env = require('sugar-env')
require('dotenv').config()

module.exports = {
client: 'pg',
connection: {
host: '127.0.0.1',
user: 'postgres',
password: 'postgres',
database: 'todoApiDatabase'
}
}

Set up with MySQL

The configuration file is src/infra/config/mysql.js. It looks like this:

// src/infra/config/mysql.js
require('dotenv').config()

module.exports = {
herbsCLI: 'mysql',
client: 'mysql2',
connection: {
host: '127.0.0.1',
port: '3306',
user: 'root',
password: 'password',
database: 'herbs-mysql'
}
}

Set up with SQLServer

The configuration file is src/infra/config/mysql.js. It looks like this:

// src/infra/config/sqlserver.js
require('dotenv').config()

module.exports = {
herbsCLI: 'mssql',
client: 'mssql',
connection: {
server: '127.0.0.1',
port: 1433,
user: 'sa',
password: 'password',
database: 'herbs-sqlserve',
options: {
trustServerCertificate: true
}
}
}

Set up with Mongo

The configuration file is src/infra/config/mongo.js. It should be like this:

// src/infra/config/mongo.js
const env = require('sugar-env')
require('dotenv').config()

module.exports = {
herbsCLI: 'mongo',
dbName: env.get(`$MONGO_DATABASE`, 'herbs-mongo'),
connstr: env.get(`$MONGO_CONN_STR`, 'mongodb://localhost:27017'),
}

and in src/infra/data/database/connection.js we can see a mongodb instance configuration

// src/infra/data/database/connection.js
const { MongoClient } = require('mongodb')

let dbInstance = null;

module.exports = {
factory: async (config) => {
if (dbInstance) {
return new Promise((resolve) => resolve(dbInstance))
}
const client = await new MongoClient(config.database.connstr, {
useNewUrlParser: true,
useUnifiedTopology: true
}).connect()
dbInstance = client.db(config.database.name)
return dbInstance
}
}

So you can provide a custom name and connection URL for the database using the environment variables or use the default ones.

In these files you can change their values to match with your credentials, database name, host, etc.