@web3-systems/multichain-in-memory-database v0.1.0-beta.3

Multichain In-Memory Database

The @web3-systems/multichain-in-memory-database node module is an in-memory database for multichain EVM state: transactions, receipts, logs and memoized computes.

Blockchain state is loaded into the memory for high-performance queries in both the browser and backend systems.

To learn more about indexing, queries, DynamicViews and other database related features reference LokiJS

💾 Installation

Install NPM package:

npm install @web3-systems/multichain-in-memory-database

yarn add @web3-systems/multichain-in-memory-database

Clone from Github:

git clone https://github.com/web3-systems/multichain-in-memory-database

📖 Overview

The multichain databases/caches are managed using a MultichainInMemoryDatabase instance. The instance is an adapter for the LokiJS multi-environment, in-memory database with performant indexing and queries.

• LokiJS
• Query Examples
• Persistance Adapters
• Collection Transforms
• Indexing and Query Performance

🏎️ Quickstart

In just a few lines a new chain database can be initialized - enabling advanced search queries in both browsers and backends.

import MultichainInMemoryDatabase from '@web3-systems/multichain-in-memory-database';
const chainIdDefault = 1;
let inMemoryDatabase: MultichainInMemoryDatabase;
inMemoryDatabase = new MultichainInMemoryDatabase(chainIdDefault);
inMemoryDatabase.initializeDefaultCollections(chainIdDefault, 'indexeddb');
inMemoryDatabase.insertMultiple('transactions', transactionList, chainIdDefault);
const findQuery = {data: { $eq: '0x0' }};
const documents = inMemoryDatabase.find('transactions', findQuery, chainIdDefault);

🪜 Examples

Simple Search - FindQuery

The primary operators currently supported are:

$eq - filter for document(s) with property of (strict) equality $ne - filter for document(s) with property not equal to provided value $aeq - filter for document(s) with property of abstract (loose) equality $dteq - filter for document(s) with date property equal to provided date value $gt - filter for document(s) with property greater than provided value $gte - filter for document(s) with property greater or equal to provided value $lt - filter for document(s) with property less than provided value $lte - filter for document(s) with property less than or equal to provided value $between - filter for documents(s) with property between provided vals.

Find Transaction Hash

To find a single transaction use a find query with an equal operator matching the hash.

export interface FindQuery {
  [key: string]: any;
}

The FindQuery object is similar to a MongoDB find filter object.

const findQuery = {
    hash: { 
        $eq: '0x0' 
    },
};

Advanced Search - ChainedQuery

ChainedQuery Interface All inputs are optional when constucting a chained query.

export interface ChainedQuery {
  find?: any;
  where?: any;
  simplesort?: any;
  offset?: any;
  limit?: any;
}

Basic ChainedQuery

A straight-forward example is using limit and find to return the first a single transaction matching the data inputs.

const chainedQuery = {
    limit: 1,
    find: {
        data: {
            $eq: '0x2'
        },
    },
};

const documents = inMemoryDatabase.search('transactions', chainedQuery, 1);
/*
    [
        {
            hash: '0x0',
            data: '0x2',
        }
    ]
*/

Complex ChainedQuery

A straight-forward example is using limit and find to return the first a single transaction matching the data inputs.

const chainedQuery = {
    offset: 0,
    limit: 10,
    find: {
        data: {
            $eq: '0x2'
        },
    },
    simplesort: 'blockNumber',
    where: () =>{},
};

const documents = inMemoryDatabase.search('transactions', chainedQuery, 1);
/*
    [
        {
            hash: '0x0',
            data: '0x2',
        }
    ]
*/

💻 Developer Experience

The package is setup using the TSDX zero-config CLI which includes:

• Typescript
• Rollup
• Jest
• Prettier
• ESLint