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forked from lowdb project (https://github.com/typicode/lowdb)

Simple to use type-safe local JSON database 🦉

If you know JavaScript, you know how to use lowdb.

to run vitest for node:

npm run test:vitest:node .\src\adapters\node\BSONFile.vi.test.ts

Read or create db.json

const db = await JSONFilePreset('db.json', { posts: [] })

Use plain JavaScript to change data

const post = { id: 1, title: 'lowdb is awesome', views: 100 }

// In two steps
db.data.posts.push(post)
await db.write()

// Or in one
await db.update(({ posts }) => posts.push(post))
// db.json
{
  "posts": [
    { "id": 1, "title": "lowdb is awesome", "views": 100 }
  ]
}

In the same spirit, query using native Array functions:

const { posts } = db.data

posts.at(0) // First post
posts.filter((post) => post.title.includes('lowdb')) // Filter by title
posts.find((post) => post.id === 1) // Find by id
posts.toSorted((a, b) => a.views - b.views) // Sort by views

It's that simple. db.data is just a JavaScript object, no magic.

Установка

npm install @direct-dev-ru/linedb

использование

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

// Read or create db.json
const defaultData = { posts: [] }
const db = await JSONFilePreset('db.json', defaultData)

// Update db.json
await db.update(({ posts }) => posts.push('hello world'))

// Alternatively you can call db.write() explicitely later
// to write to db.json
db.data.posts.push('hello world')
await db.write()
// db.json
{
  "posts": [ "hello world" ]
}

TypeScript

You can use TypeScript to check your data types.

type Data = {
    messages: string[]
}

const defaultData: Data = { messages: [] }
const db = await JSONPreset<Data>('db.json', defaultData)

db.data.messages.push('foo') // ✅ Success
db.data.messages.push(1) // ❌ TypeScript error

Lodash

You can extend lowdb with Lodash (or other libraries). To be able to extend it, we're not using JSONPreset here. Instead, we're using lower components.

import { Low } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'
import lodash from 'lodash'

type Post = {
    id: number
    title: string
}

type Data = {
    posts: Post[]
}

// Extend Low class with a new `chain` field
class LowWithLodash<T> extends Low<T> {
    chain: lodash.ExpChain<this['data']> = lodash.chain(this).get('data')
}

const defaultData: Data = {
    posts: [],
}
const adapter = new JSONFile<Data>('db.json', defaultData)

const db = new LowWithLodash(adapter)
await db.read()

// Instead of db.data use db.chain to access lodash API
const post = db.chain.get('posts').find({ id: 1 }).value() // Important: value() must be called to execute chain

CLI, Server, Browser and in tests usage

See src/examples/ directory.

API

Presets

Lowdb provides four presets for common cases.

  • JSONFilePreset(filename, defaultData)
  • JSONFileSyncPreset(filename, defaultData)
  • LocalStoragePreset(name, defaultData)
  • SessionStoragePreset(name, defaultData)

See src/examples/ directory for usage.

Lowdb is extremely flexible, if you need to extend it or modify its behavior, use the classes and adapters below instead of the presets.

Classes

Lowdb has two classes (for asynchronous and synchronous adapters).

new Low(adapter, defaultData)

import { Low } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'

const db = new Low(new JSONFile('file.json'), {})
await db.read()
await db.write()

new LowSync(adapterSync, defaultData)

import { LowSync } from '@direct-dev-ru/linedb'
import { JSONFileSync } from '@direct-dev-ru/linedb/node'

const db = new LowSync(new JSONFileSync('file.json'), {})
db.read()
db.write()

Methods

db.read()

Calls adapter.read() and sets db.data.

Note: JSONFile and JSONFileSync adapters will set db.data to null if file doesn't exist.

db.data // === null
db.read()
db.data // !== null

db.write()

Calls adapter.write(db.data).

db.data = { posts: [] }
db.write() // file.json will be { posts: [] }
db.data = {}
db.write() // file.json will be {}

db.update(fn)

Calls fn() then db.write().

db.update((data) => {
    // make changes to data
    // ...
})
// files.json will be updated

Properties

db.data

Holds your db content. If you're using the adapters coming with lowdb, it can be any type supported by JSON.stringify.

For example:

db.data = 'string'
db.data = [1, 2, 3]
db.data = { key: 'value' }

Расширенные примеры использования

1. Работа с пользователями и аутентификацией

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface User {
  id: string
  username: string
  password: string
  role: 'admin' | 'user'
}

const db = await JSONFilePreset('users.json', { users: [] })

// Добавление нового пользователя
await db.update(({ users }) => {
  users.push({
    id: '1',
    username: 'admin',
    password: 'hashed_password',
    role: 'admin'
  })
})

// Поиск пользователя по имени
const user = db.data.users.find(u => u.username === 'admin')

2. Управление задачами (Todo List)

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Task {
  id: string
  title: string
  completed: boolean
  createdAt: Date
}

const db = await JSONFilePreset('tasks.json', { tasks: [] })

// Добавление задачи
await db.update(({ tasks }) => {
  tasks.push({
    id: Date.now().toString(),
    title: 'Изучить lowdb',
    completed: false,
    createdAt: new Date()
  })
})

// Отметить задачу как выполненную
await db.update(({ tasks }) => {
  const task = tasks.find(t => t.id === '1')
  if (task) task.completed = true
})

3. Блог с комментариями

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Post {
  id: string
  title: string
  content: string
  comments: Comment[]
}

interface Comment {
  id: string
  author: string
  content: string
  createdAt: Date
}

const db = await JSONFilePreset('blog.json', { posts: [] })

// Добавление комментария к посту
await db.update(({ posts }) => {
  const post = posts.find(p => p.id === '1')
  if (post) {
    post.comments.push({
      id: Date.now().toString(),
      author: 'Пользователь',
      content: 'Отличный пост!',
      createdAt: new Date()
    })
  }
})

4. Система рейтингов и отзывов

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Product {
  id: string
  name: string
  price: number
  reviews: Review[]
}

interface Review {
  id: string
  userId: string
  rating: number
  comment: string
}

const db = await JSONFilePreset('products.json', { products: [] })

// Добавление отзыва к продукту
await db.update(({ products }) => {
  const product = products.find(p => p.id === '1')
  if (product) {
    product.reviews.push({
      id: Date.now().toString(),
      userId: 'user1',
      rating: 5,
      comment: 'Отличный продукт!'
    })
  }
})

// Расчет среднего рейтинга
const avgRating = db.data.products
  .find(p => p.id === '1')
  ?.reviews.reduce((acc, review) => acc + review.rating, 0) / 
  db.data.products.find(p => p.id === '1')?.reviews.length

5. Система уведомлений

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Notification {
  id: string
  userId: string
  message: string
  read: boolean
  createdAt: Date
}

const db = await JSONFilePreset('notifications.json', { notifications: [] })

// Добавление уведо��ления
await db.update(({ notifications }) => {
  notifications.push({
    id: Date.now().toString(),
    userId: 'user1',
    message: 'У вас новое сообщение',
    read: false,
    createdAt: new Date()
  })
})

// Отметить уведомление как прочитанное
await db.update(({ notifications }) => {
  const notification = notifications.find(n => n.id === '1')
  if (notification) notification.read = true
})

6. Система заказов

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Order {
  id: string
  userId: string
  items: OrderItem[]
  status: 'pending' | 'processing' | 'completed' | 'cancelled'
  total: number
}

interface OrderItem {
  productId: string
  quantity: number
  price: number
}

const db = await JSONFilePreset('orders.json', { orders: [] })

// Создание нового заказа
await db.update(({ orders }) => {
  orders.push({
    id: Date.now().toString(),
    userId: 'user1',
    items: [
      {
        productId: '1',
        quantity: 2,
        price: 100
      }
    ],
    status: 'pending',
    total: 200
  })
})

// Обновление статуса заказа
await db.update(({ orders }) => {
  const order = orders.find(o => o.id === '1')
  if (order) order.status = 'processing'
})

7. Система чата

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Message {
  id: string
  senderId: string
  receiverId: string
  content: string
  timestamp: Date
}

const db = await JSONFilePreset('messages.json', { messages: [] })

// Отправка сообщения
await db.update(({ messages }) => {
  messages.push({
    id: Date.now().toString(),
    senderId: 'user1',
    receiverId: 'user2',
    content: 'Привет!',
    timestamp: new Date()
  })
})

// Получение истории сообщений между двумя пользователями
const chatHistory = db.data.messages
  .filter(m => 
    (m.senderId === 'user1' && m.receiverId === 'user2') ||
    (m.senderId === 'user2' && m.receiverId === 'user1')
  )
  .sort((a, b) => a.timestamp.getTime() - b.timestamp.getTime())

8. Система настроек пользователя

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface UserSettings {
  userId: string
  theme: 'light' | 'dark'
  language: string
  notifications: {
    email: boolean
    push: boolean
  }
}

const db = await JSONFilePreset('settings.json', { settings: [] })

// Сохранение настроек пользователя
await db.update(({ settings }) => {
  const userSettings = settings.find(s => s.userId === 'user1')
  if (userSettings) {
    userSettings.theme = 'dark'
    userSettings.language = 'ru'
  } else {
    settings.push({
      userId: 'user1',
      theme: 'dark',
      language: 'ru',
      notifications: {
        email: true,
        push: false
      }
    })
  }
})

9. Система статистики

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface Statistic {
  id: string
  type: 'pageView' | 'click' | 'conversion'
  page: string
  timestamp: Date
  metadata: Record<string, any>
}

const db = await JSONFilePreset('statistics.json', { statistics: [] })

// Запись статистики
await db.update(({ statistics }) => {
  statistics.push({
    id: Date.now().toString(),
    type: 'pageView',
    page: '/home',
    timestamp: new Date(),
    metadata: {
      userAgent: 'Mozilla/5.0...',
      referrer: 'https://google.com'
    }
  })
})

// Анализ статистики за последние 24 часа
const last24Hours = new Date(Date.now() - 24 * 60 * 60 * 1000)
const recentStats = db.data.statistics
  .filter(s => s.timestamp > last24Hours)
  .reduce((acc, stat) => {
    acc[stat.type] = (acc[stat.type] || 0) + 1
    return acc
  }, {})

10. Система кэширования

import { JSONFilePreset } from '@direct-dev-ru/linedb/node'

interface CacheItem {
  key: string
  value: any
  expiresAt: Date
}

const db = await JSONFilePreset('cache.json', { cache: [] })

// Сохранение в кэш
await db.update(({ cache }) => {
  cache.push({
    key: 'user:1:profile',
    value: { name: 'John', age: 30 },
    expiresAt: new Date(Date.now() + 3600000) // 1 час
  })
})

// Получение из кэша с проверкой срока действия
const getFromCache = (key: string) => {
  const now = new Date()
  const item = db.data.cache.find(c => c.key === key && c.expiresAt > now)
  return item?.value
}

// Очистка устаревшего кэша
await db.update(({ cache }) => {
  const now = new Date()
  db.data.cache = cache.filter(c => c.expiresAt > now)
})

Примеры использования разных адаптеров

1. Использование BSONFile (бинарный формат)

import { Low } from '@direct-dev-ru/linedb'
import { BSONFile } from '@direct-dev-ru/linedb/node'

interface User {
  id: string
  name: string
  data: Uint8Array // BSON хорошо подходит для бинарных данных
}

const adapter = new BSONFile<User[]>('users.bson')
const db = new Low(adapter, [])

// Запись бинарных данных
await db.update((users) => {
  users.push({
    id: '1',
    name: 'John',
    data: new Uint8Array([1, 2, 3, 4, 5])
  })
})

2. Использование YAMLFile (YAML формат)

import { Low } from '@direct-dev-ru/linedb'
import { YAMLFile } from '@direct-dev-ru/linedb/node'

interface Config {
  server: {
    port: number
    host: string
  }
  database: {
    url: string
    credentials: {
      username: string
      password: string
    }
  }
}

const adapter = new YAMLFile<Config>('config.yaml')
const db = new Low(adapter, {
  server: {
    port: 3000,
    host: 'localhost'
  },
  database: {
    url: 'mongodb://localhost:27017',
    credentials: {
      username: 'admin',
      password: 'secret'
    }
  }
})

// Чтение конфигурации
await db.read()
console.log(db.data.server.port)

3. Использование с шифрованием

import { Low } from '@direct-dev-ru/linedb'
import { DataFile } from '@direct-dev-ru/linedb/node'
import { createCipheriv, createDecipheriv, randomBytes } from 'crypto'

const algorithm = 'aes-256-cbc'
const key = randomBytes(32)
const iv = randomBytes(16)

const encryptedAdapter = new DataFile('encrypted.json', {
  parse: (data) => {
    const decipher = createDecipheriv(algorithm, key, iv)
    return JSON.parse(decipher.update(data, 'hex', 'utf8') + decipher.final('utf8'))
  },
  stringify: (data) => {
    const cipher = createCipheriv(algorithm, key, iv)
    return cipher.update(JSON.stringify(data), 'utf8', 'hex') + cipher.final('hex')
  }
})

const db = new Low(encryptedAdapter, { secret: 'data' })
await db.write() // Данные будут зашифрованы при записи

4. Использование Memory адаптера (для тестов)

import { Low } from '@direct-dev-ru/linedb'
import { Memory } from '@direct-dev-ru/linedb'

interface TestData {
  items: string[]
}

const adapter = new Memory<TestData>()
const db = new Low(adapter, { items: [] })

// Данные хранятся только в памяти
await db.update(({ items }) => {
  items.push('test')
})
console.log(db.data.items) // ['test']

5. Использование LocalStorage в браузере

import { LowSync } from '@direct-dev-ru/linedb'
import { LocalStorage } from '@direct-dev-ru/linedb/browser'

interface BrowserData {
  theme: 'light' | 'dark'
  settings: {
    notifications: boolean
  }
}

const adapter = new LocalStorage<BrowserData>('app-settings')
const db = new LowSync(adapter, {
  theme: 'light',
  settings: {
    notifications: true
  }
})

// Сохранение настроек в localStorage
db.update(({ settings }) => {
  settings.notifications = false
})

6. Использование SessionStorage в браузере

import { LowSync } from '@direct-dev-ru/linedb'
import { SessionStorage } from '@direct-dev-ru/linedb/browser'

interface SessionData {
  cart: {
    items: Array<{
      id: string
      quantity: number
    }>
  }
}

const adapter = new SessionStorage<SessionData>('shopping-cart')
const db = new LowSync(adapter, { cart: { items: [] } })

// Данные будут сохранены только на время сессии
db.update(({ cart }) => {
  cart.items.push({ id: '1', quantity: 2 })
})

7. Использование UpdLow (расширенная версия Low)

import { UpdLow } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'

interface User {
  id: string
  name: string
  lastModified: Date
}

const adapter = new JSONFile<User[]>('users.json')
const db = new UpdLow(adapter, [], 5000) // 5000ms - интервал автообновления

// Автоматическое обновление данных
db.startSmartRefresh(5000)

// Данные будут автоматически обновляться каждые 5 секунд
await db.update((users) => {
  users.push({
    id: '1',
    name: 'John',
    lastModified: new Date()
  })
})

// Остановка автообновления
db.stopSmartRefresh()

8. Комбинированное использование адаптеров

import { Low } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'
import { LocalStorage } from '@direct-dev-ru/linedb/browser'

// Определение фабрики адаптеров
const createAdapter = (type: 'node' | 'browser') => {
  if (type === 'node') {
    return new JSONFile('data.json')
  } else {
    return new LocalStorage('app-data')
  }
}

// Использование в Node.js
const nodeAdapter = createAdapter('node')
const nodeDb = new Low(nodeAdapter, {})

// Использование в браузере
const browserAdapter = createAdapter('browser')
const browserDb = new LowSync(browserAdapter, {})

9. Создание кастомного адаптера для работы с API

import { Low } from '@direct-dev-ru/linedb'
import { Adapter } from '@direct-dev-ru/linedb'

class APIDataAdapter implements Adapter<Data> {
  private url: string
  private token: string

  constructor(url: string, token: string) {
    this.url = url
    this.token = token
  }

  async read() {
    const response = await fetch(this.url, {
      headers: {
        Authorization: `Bearer ${this.token}`
      }
    })
    return response.json()
  }

  async write(data: Data) {
    await fetch(this.url, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        Authorization: `Bearer ${this.token}`
      },
      body: JSON.stringify(data)
    })
  }
}

const adapter = new APIDataAdapter('https://api.example.com/data', 'token')
const db = new Low(adapter, {})

10. Использование с компрессией данных

import { Low } from '@direct-dev-ru/linedb'
import { DataFile } from '@direct-dev-ru/linedb/node'
import { gzipSync, gunzipSync } from 'zlib'
import { promisify } from 'util'

const gzipAsync = promisify(gzip)
const gunzipAsync = promisify(gunzip)

const compressedAdapter = new DataFile("compressed.db", undefined, {
    parse: (data) => {
      const decompressed = gunzipSync(Buffer.from(data, "base64"));
      return JSON.parse(decompressed.toString());
    },
    stringify: (data) => {
      const compressed = gzipSync(JSON.stringify(data));
      return compressed.toString("base64");
    },
});

const db = new Low(compressedAdapter, { largeData: '...' })
await db.write() // Данные будут сжаты при записи

Примеры использования Lodash-вариантов

LowWithLodash

import { LowWithLodash } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'

interface User {
  id: number
  name: string
  age: number
  active: boolean
  department: string
}

interface Data {
  users: User[]
}

const adapter = new JSONFile<Data>('db.json')
const db = new LowWithLodash(adapter, { users: [] })

// Чтение данных
await db.read()

// Простые запросы
const activeUsers = db.chain
  .get('users')
  .filter({ active: true })
  .value()

const userNames = db.chain
  .get('users')
  .map('name')
  .value()

// Сложные запросы
const departmentStats = db.chain
  .get('users')
  .groupBy('department')
  .mapValues(users => ({
    count: users.length,
    avgAge: _.meanBy(users, 'age'),
    activeCount: _.countBy(users, 'active').true || 0
  }))
  .value()

// Сортировка и фильтрация
const topUsers = db.chain
  .get('users')
  .filter({ active: true })
  .orderBy(['age', 'name'], ['desc', 'asc'])
  .take(5)
  .value()

// Обновление данных
await db.update(data => {
  data.users.push({
    id: 1,
    name: 'John',
    age: 30,
    active: true,
    department: 'IT'
  })
})

UpdLowWithLodash

import { UpdLowWithLodash } from '@direct-dev-ru/linedb'
import { JSONFile } from '@direct-dev-ru/linedb/node'

interface Post {
  id: number
  title: string
  authorId: number
  tags: string[]
  views: number
  createdAt: Date
}

interface Data {
  posts: Post[]
}

const adapter = new JSONFile<Data>('db.json')
const db = new UpdLowWithLodash(adapter, 5000, { posts: [] })

// Включаем автообновление
db.startSmartRefresh(5000)

// Сложные аналитические запросы
const tagStats = db.chain
  .get('posts')
  .flatMap('tags')
  .countBy()
  .value()

const authorStats = db.chain
  .get('posts')
  .groupBy('authorId')
  .mapValues(posts => ({
    postCount: posts.length,
    totalViews: _.sumBy(posts, 'views'),
    popularTags: _.chain(posts)
      .flatMap('tags')
      .countBy()
      .entries()
      .sortBy(1)
      .reverse()
      .take(3)
      .fromPairs()
      .value()
  }))
  .value()

// Временные запросы
const recentPosts = db.chain
  .get('posts')
  .filter(post => {
    const daysAgo = 7
    const cutoff = new Date()
    cutoff.setDate(cutoff.getDate() - daysAgo)
    return post.createdAt > cutoff
  })
  .orderBy('views', 'desc')
  .take(10)
  .value()

// Обновление с проверкой
await db.update({ posts: [] }, async (data) => {
  const newPost = {
    id: 1,
    title: 'New Post',
    authorId: 1,
    tags: ['tech', 'js'],
    views: 0,
    createdAt: new Date()
  }
  
  data.posts?.push(newPost)
  return { result: true, data }
})

// Остановка автообновления
db.stopSmartRefresh()

Преимущества использования Lodash-вариантов

  1. Цепочки операций

    • Более читаемый и выразительный код
    • Возможность комбинировать множество операций
    • Ленивое выполнение (операции выполняются только при вызове .value())
  2. Богатый набор методов

    • Фильтрация, сортировка, группировка
    • Агрегация и статистика
    • Работа с массивами и объектами
    • Манипуляции с датами и строками
  3. Производительность

    • Оптимизированные алгоритмы
    • Кэширование промежуточных результатов
    • Эффективная работа с большими наборами данных
  4. Типобезопасность

    • Полная поддержка TypeScript
    • Автодополнение в IDE
    • Проверка типов во время компиляции

Adapters

Lowdb adapters

JSONFile JSONFileSync

Adapters for reading and writing JSON files.

import { JSONFile, JSONFileSync } from '@direct-dev-ru/linedb/node'

new Low(new JSONFile(filename), {})
new LowSync(new JSONFileSync(filename), {})

Memory MemorySync

In-memory adapters. Useful for speeding up unit tests. See src/examples/ directory.

import { Memory, MemorySync } from '@direct-dev-ru/linedb'

new Low(new Memory(), {})
new LowSync(new MemorySync(), {})

LocalStorage SessionStorage

Synchronous adapter for window.localStorage and window.sessionStorage.

import { LocalStorage, SessionStorage } from '@direct-dev-ru/linedb/browser'
new LowSync(new LocalStorage(name), {})
new LowSync(new SessionStorage(name), {})

Utility adapters

TextFile TextFileSync

Adapters for reading and writing text. Useful for creating custom adapters.

DataFile DataFileSync

Adapters for easily supporting other data formats or adding behaviors (encrypt, compress...).

import { DataFile } from '@direct-dev-ru/linedb/node'
new DataFile(filename, {
    parse: YAML.parse,
    stringify: YAML.stringify,
})
new DataFile(filename, {
    parse: (data) => {
        decypt(JSON.parse(data))
    },
    stringify: (str) => {
        encrypt(JSON.stringify(str))
    },
})

Third-party adapters

If you've published an adapter for lowdb, feel free to create a PR to add it here.

Writing your own adapter

You may want to create an adapter to write db.data to YAML, XML, encrypt data, a remote storage, ...

An adapter is a simple class that just needs to expose two methods:

class AsyncAdapter {
    read() {
        /* ... */
    } // should return Promise<data>
    write(data) {
        /* ... */
    } // should return Promise<void>
}

class SyncAdapter {
    read() {
        /* ... */
    } // should return data
    write(data) {
        /* ... */
    } // should return nothing
}

For example, let's say you have some async storage and want to create an adapter for it:

import { Low } from '@direct-dev-ru/linedb'
import { api } from './AsyncStorage'

class CustomAsyncAdapter {
    // Optional: your adapter can take arguments
    constructor(args) {
        // ...
    }

    async read() {
        const data = await api.read()
        return data
    }

    async write(data) {
        await api.write(data)
    }
}

const adapter = new CustomAsyncAdapter()
const db = new Low(adapter, {})

See src/adapters/ for more examples.

Custom serialization

To create an adapter for another format than JSON, you can use TextFile or TextFileSync.

For example:

import { Adapter, Low } from '@direct-dev-ru/linedb'
import { TextFile } from '@direct-dev-ru/linedb/node'
import YAML from 'yaml'

class YAMLFile {
    constructor(filename) {
        this.adapter = new TextFile(filename)
    }

    async read() {
        const data = await this.adapter.read()
        if (data === null) {
            return null
        } else {
            return YAML.parse(data)
        }
    }

    write(obj) {
        return this.adapter.write(YAML.stringify(obj))
    }
}

const adapter = new YAMLFile('file.yaml')
const db = new Low(adapter, {})

Ограничения по использованию

Enclowdb doesn't support Node's cluster module.

If you have large JavaScript objects (~10-100MB) you may hit some performance issues. This is because whenever you call db.write, the whole db.data is serialized using JSON.stringify and written to storage.

Depending on your use case, this can be fine or not. It can be mitigated by doing batch operations and calling db.write only when you need it.

If you plan to scale, it's highly recommended to use databases like PostgreSQL or MongoDB instead.

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