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keyed-db's Introduction

Keyed DB

A light-weight node library to manage a sorted & indexed collection with pagination support. All done using Binary Search. Based off my swift code for Queenfisher

Install

npm i github:adiwajshing/keyed-db

Running Tests

npm test

Functions

db = new KeyedDB<T> (t => t.uniqueNumberKeyProperty, t => t.optionalUniqueIDProperty)
// compare with a custom function
db = new KeyedDB<T> ({  
    key: t => t.someProperty,
    compare: (t1, t2) => someComputation(t1, t2) // return -1 if t1 < t2, 0 if t1=t2 & 1 if t1 > t2
}, t => t.optionalUniqueIDProperty)

db.insert (value) // insert value in DB
db.upsert (value) // upserts value
db.insertIfAbsent (value) // only inserts if not already present in DB
db.delete (value) // delete value
db.deleteById (value.optionalUniqueIDProperty) // delete value by referencing the ID
// update the key of a value, 
// will automatically place object after key change
db.updateKey (value, value => value.uniqueKeyProperty = newValue) 
db.paginated (someCursor, 20) // get X results after the given cursor (null for the first X results)

Usage

import KeyedDB from '@adiwajshing/keyed-db'

// Let's use the db to sort & maintain a list of chats
// Chats must be accessed quickly via the chatID (the person you're chatting with)
// Chats must be sorted by recency
type Chat = {
    timestamp: Date
    chatID: string
}

// first argument -- sorting property, second argument -- ID property
const db = new KeyedDB<Chat>(value => value.timestamp.getTime()*-1, value => value.chatID)

for (let i = 0; i < 1000;i++) {
    // insert data
    db.insert (
        {
            timestamp: new Date( new Date().getTime() - Math.random()*10000 ), 
            chatID: `person ${i}`
        }
    )
}
console.log (db.all()) // return internal sorted array
console.log (db.paginated(null, 20)) // return first 20 chats
console.log (db.paginated(null, 20, null, 'before')) // return last 20 chats
console.log (db.paginated(null, 20, chat => chat.chatID.includes('something'))) // return first 20 chats where the chatID contains 'something'

const someDate = new Date().getTime()
const cursorPaginated = db.paginated(someDate, 20)
console.log (cursorPaginated) // return 20 chats after the specified date

db.delete (cursorPaginated[0]) // delete paginated chats 

// update chat timestamp
db.updateKey(cursorPaginated[1], value => value.timestamp = new Date().getTime()) 

Time Complexity

Operation Time Complexity
db.insert() O(logN)
db.delete() O(logN)
db.get() O(1)
db.updateKey() O(logN)

keyed-db's People

Contributors

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keyed-db's Issues

How fast is this lib ? Can it be compared to to SQLite ?

I've notticed that you are using a lot of resources to keep it blazing fast. But and about comparision with SQLite for example ? Or cannot be compared ?

For example, if I want to use this db in a project, which are the advantages ? it will be stored locally in a file ?

OR.. This lib is just for execution time, and handle the binary searches ?

Main entry keyed-db/lib/KeyedDB.js

Cannot find module '/whatsapp-api/node_modules/@adiwajshing/keyed-db/lib/KeyedDB.js'. Please verify that the package.json has a valid "main" entry

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