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arrowment-db

v1.2.0

Published

A JSON type database similar to Mongoose, uses JSON files to save data

Downloads

6

Readme

Arrowment-DB

Arrowment-DB is a simple JSON database library for Node.js projects, similar to Mongoose but with a focus on simplicity and ease of use.

Getting Started

To start using Arrowment-DB in your project, follow these simple steps:

  1. Install Arrowment-DB using npm:

    npm i arrowment-db
  2. Create a new folder named jsonDB.js in your project directory.

  3. In the jsonDB.js file, set up the database configuration:

    // jsonDB.js
    
    import { ArrowmentJsonDB } from "arrowment-db";
    
    const jsonDB = new ArrowmentJsonDB({ data_dir: "path/to/your/data/directory" });
    
    export { jsonDB };

    Replace "path/to/your/data/directory" with the actual path to the directory where you want to store your JSON data. IT MUST BE ABSOLUTE PATH

  4. Congratulations! You have set up your JSON database. Now you can create and manage your JSON data easily.

Adding Custom String Generator

If you want to add a custom string generator function, you can do so by adding a string_generator property to the ArrowmentJsonDB configuration.

Creating Schema

To define a schema for your data, follow these steps:

  1. Create a new directory named schema in your project directory.

  2. In the schema directory, create a new file (e.g., myschema.js).

  3. In the myschema.js file, define your schema using the JsonSchema class:

    // myschema.js
    
    import { jsonDB } from "../jsonDB";
    import { JsonSchema } from "arrowment-db";
    
    const data = {
        Name: String,
        Age: Number
    };
    
    const info = new JsonSchema({ schema: data, json_class: jsonDB, name: "Info" });

    Make sure to replace "../jsonDB" with the actual path to your jsonDB.js file.

    In this example, we define a schema with two fields: Name (string) and Age (number). The schema is associated with the Info collection in the database.

Managing Data

Once you have set up your schema, you can start managing your data. Here's how:

Creating Data

To create data, simply import the schema and use the create method:

import { info } from "./schema/mySchema.js";

info.create({
    Name: "John",
    Age: 13
});

Deleting Data

To delete data, specify the query and use the delete method:

import { info } from "./schema/mySchema.js";

info.delete({ Age: 13 });

To delete multiple records matching a query, use the deleteAll method:

info.deleteAll({ Age: 13 });

Finding Data

To find data, use the findData method:

const data = await info.findData({ Age: 13 });

To find all records matching a query, use the findAllData method:

const data = await info.findAllData({ Age: 13 });

Saving Data

To save data, use the save method:

const result = await info.findData({ Age: 13 });
const data = result;

data.Name = "The Rock";

await info.save(data, { Name: "John" });

To update all records matching a query, use the updateAll method:

const result = await info.findData({ Age: 13 });
const data = result;

data.Name = "The Rock";

await info.updateAll(data, { Name: "John" });

Finding Path

To find a path, use findPath:

console.log(await personalInfo.findPath({ name: "The Rock" }))
/**
 C:/Users/techn/OneDrive/Desktop/Projects/JSON-DB/test/data/PersonalInfo/l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536.json
 */

To find all the paths, use findAllPath:

console.log(await personalInfo.findAllPath({ name: "The Rock" }))
/**
[
  'C:/Users/techn/OneDrive/Desktop/Projects/JSON-DB/test/data/PersonalInfo/l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536.json'
]
 */

Notes

CHANGES IN 1.2.0

  • All methods like findData, findAllData, save, updateAll, and their fuzzy versions now return something.
  • findData, findAllData, save, updateAll, create, and their fuzzy versions will return null if no data is found.
  • The methods findData and findAllData now return only the data, not an object containing the path and the data.
  • findData and findAllData methods return null if no data is found.
  • Methods findPath and findAllPath have been added to the JsonSchema class for finding paths.
  • Methods findPath and findAllPath return the file paths directly.
  • fuzzySearchData, fuzzySearchAllData, fuzzySearchPath, fuzzySearchAllPath, fuzzyDelete, fuzzyDeleteAll, fuzzySave, fuzzyUpdateAll methods have been added for fuzzy searching and operations.
  • Added QuickCollection, Its a map() like class but with fuzzy searching.
  • Added support for searching nested object structures.

Fuzzy Search Methods

What is fuzzy searching?

Fuzzy searching is a searching method used when you don't have the exact query or only have a rough or approximate query. In such cases, instead of requiring an exact match, fuzzy searching employs algorithms like Levenshtein's algorithm to find the best match and retrieve relevant data. This approach allows for more flexible and forgiving searches, accommodating variations in spelling, typos, or slight deviations from the original query.

Finding Data Using Fuzzy Method

To find data using the fuzzy method, use fuzzySearchData:

console.log(await personalInfo.fuzzySearchData({ name: "Jo" })); //We are not sure of the actual name
/**
  {
  name: 'John',
  Age: 13,
  id: 'l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536'
}
 */

To search all the data and not just one data, use fuzzySearchAllData:

console.log(await personalInfo.fuzzySearchAllData({ name: "Jo" })); //We are not sure of the actual name
/**
 [
  {
    name: 'John',
    Age: 13,
    id: 'l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536'
  }
]
 */

Finding Path

To find the path using fuzzy search, use fuzzySearchPath:

console.log(await personalInfo.fuzzySearchPath({ name: "Jo" })); //We are not sure of the actual name
/**
C:/Users/techn/OneDrive/Desktop/Projects/JSON-DB/test/data/PersonalInfo/l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536.json
 */

To find all the paths using fuzzy search, use fuzzySearchAllPath:

console.log(await personalInfo.fuzzySearchAllPath({ name: "Jo" })); //We are not sure of the actual name
/**
[
  'C:/Users/techn/OneDrive/Desktop/Projects/JSON-DB/test/data/PersonalInfo/l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536.json'
]
 */

Deleting Data

To delete the data using fuzzy search, use fuzzyDelete:

await personalInfo.fuzzyDelete({ name: "Jo" }); //We are not

 sure of the actual name

To delete all the data using fuzzy search, use fuzzyDeleteAll:

await personalInfo.fuzzyDeleteAll({ name: "Jo" }); //We are not sure of the actual name

Updating Data

To update one data using fuzzy search, use fuzzySave:

const s = await personalInfo.fuzzySearchData({ name: "Jo"})
s.name = "TechPowerB"

console.log(await personalInfo.fuzzySave(s, { name: "Jo" })); //We are not sure of the actual name
/**
{
  name: 'TechPowerB',
  Age: 13,
  id: 'l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536'
}
 */

To update everything using fuzzy search, use fuzzyUpdateAll:

const s = await personalInfo.fuzzySearchData({ name: "Jo"})
s.name = "TechPowerB"

console.log(await personalInfo.fuzzyUpdateAll(s, { name: "Jo" })); //We are not sure of the actual name
/**
{
  name: 'TechPowerB',
  Age: 13,
  id: 'l5G0U0t2Z7t4x9u5z0q6fd3357708145db3dfbb81709888536'
}
 */