pinatastore
v0.1.4
Published
A simple module to store and retrieve simple JSON data from a decentralized databse. (Pinata IPFS) Pinatastore uses a structure similar to firebase and stores them in ipfs through Pinata. (Collections and Documents) Pinatastore is basically a wrapper on
Downloads
11
Maintainers
Readme
🦄 Pinatastore
A simple module to store and retrieve simple JSON data from a decentralized databse. (Pinata IPFS) Pinatastore uses a structure similar to firebase and stores them in ipfs through Pinata. (Collections and Documents) Pinatastore is basically a wrapper on top of the pinata API to make it easier to work with JSON data.
Note: This project was made for educational puposes. But feel free to use it in your projects
Demo
Hosted - https://colorstore.vercel.app/
Repo - https://github.com/notnavindu/pinatastore-demo
Coming soon
- Query by primary key
Use this if ...
- Your data is not complex
- Your project is not large scale
- Your data doesn't need encryption
- Your data can be publicly stored
Installation
npm install pinatastore
or
yarn add pinatastore
Setup
import { Pinatastore } from "pinatastore"
const db = new Pinatastore(API_KEY, API_SECRET)
You can get the API key and API secret from the Pinata dashboard.
Methods
db.add(collection, data [, primaryKeys]
➔ returns the autogenerated ID of the document
Adds data to a given collection. This will auto-generate a unique ID for the document
- collection
String
- Name of the collection
- data
Object
- A JS Object with data you want to store
- primaryKeys
- (Coming soon)
Example
db.add("users", {
name: "John",
age: 34
});
db.set(collection, document, data [, primaryKeys]
➔ returns the ipfs hash ID of the document
set() will create a new document or rewrite the existing document of the given ID with the provided data
- collection
String
- Name of the collection
- document
String
- Name of the document
- data
Object
- A JS Object with data you want to store
- primaryKeys
- (Coming soon)
Example
db.set("cities", "london", {
population: "8.982 million"
});
db.getDoc(collection, document)
➔ Returns the document data
Get data of the given document
- collection
String
- Name of the collection
- document
String
- Name of the document
db.getDoc("cities", "london");
// returns
// {
// documentId: 'cities',
// data: { population: '8.982 million' }
// }
db.getCollection(collection)
➔ Returns an array of documents
Get all the documents of a collection
- collection
String
- Name of the collection
db.getCollection("users");
// returns
// [
// {
// documentId: 'c4422589-0153-43eb-926a-71e2576aa1ad',
// data: { name: 'John', age: 34 }
// },
// {
// documentId: '967b91f4-e5f4-46fc-a26c-fdb881f8ccaa',
// data: { name: 'Anna', age: 23 }
// }
]
db.getCollectionHashes(collection)
➔ Returns an array of ipfs hashes
Returns an array of the ipfs hashes of the documents. These can be used to retrieve data on the client side. This can be useful if you have a server with limited performance.
- collection
String
- Name of the collection
db.getCollectionHashes("users");
// returns
// [
// 'QmNnThL8PzHBsY6uRYWgGheN2wxvfFt13uwunw8rrNvJhh',
// 'QmZ6pv1jNnmBaASYkKEXAAJG7cWu2zNrDxbf7geiHuJ9UE'
// ]
Keep in mind that this was made entirely because I was bored so there might be bugs here and there. Please feel free to open issues or contribute to the project :)