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In this tutorial, you will learn how to create a simple crud app in VUE JS with node js Express + Rest API + MySQL DB.Here are the steps for a full-stack (Vue.js + Node.js + Express + MySQL) web example with a CRUD application:Build RESTful API with Node js Express + MySQLStep 1- Create Database and TableStep 2 – Install Express, MySQL2, and CorsStep 3 – Connect to DatabaseStep 4 – Create Controller, Model and RouteStep 5 – Update index.jsStep 6 – Start Node JS Express + MySQL AppCreate VUE JS CRUD AppStep 1 – Create New Vue AppStep 2 – Install Axios LibraryStep 3 – Create CRUD ComponentsStep 4 – Update Main.jsStep 5 – Update App.jsStep 6 – Start Vue JS AppBuild RESTful API with Node js Express + MySQLNow, use the following steps to create restFul APIs with node js express and MySQL:Step 1- Create a Database and TableExecute the following command to create a new database for the Node js Express + MySQL app:CREATE DATABASE demo_db;Then execute the following command to create a new table:CREATE TABLE product(product_id INT(11) PRIMARY KEY AUTO_INCREMENT,product_name VARCHAR(200),product_price DOUBLE)ENGINE=INNODB;Step 2 – Install Express, MySQL2, and CorsExecute the following command on cmd to create a directory name “backend“:mkdir backendcd backendnpm init –ynpm install express body-parser mysql2 corsThen add the following code to the “package.json” file:"type": "module",So that the “package.json” file looks like this:{ "name": "backend", "version": "1.0.0", "description": "", "type": "module", "main": "index.js", "scripts": { "test": "echo "Error: no test specified" && exit 1" }, "keywords": [], "author": "", "license": "ISC", "dependencies": { "cors": "^2.8.5", "express": "^4.17.1", "mysql2": "^2.2.5" }}Then create “config”, “controllers”, “models”, and “routes” directories inside the “backend” directory.Step 3 – Connect to DatabaseVisit the “config” directory and create the “database.js” file; Then add the following code into it:import mysql from "mysql2";// create the connection to databaseconst db = mysql.createConnection({ host: 'localhost', user: 'root', password: '', database: 'demo_db'});export default db;Step 4 – Create Controller, Model and RouteCreate Product.js controller file; so visit “controllers” directory and create the “ Product.js” file. Then add the following code into it:// Import function from Product Modelimport { getProducts, getProductById, insertProduct, updateProductById, deleteProductById } from "../models/productModel.js";// Get All Productsexport const showProducts = (req, res) => { getProducts((err, results) => { if (err){ res.send(err); }else{ res.json(results); } });}// Get Single Productexport const showProductById = (req, res) => { getProductById(req.params.id, (err, results) => { if (err){ res.send(err); }else{

Query");console.log(results);Example of a binary hamming distance query over BigUint64Array (64 bits processed at a time using pure JS):(Insanely Fast) Query Binary Embeddings Using Hamming Distance Over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles)The WebAssembly SIMD implementation processes 128 bits per iteration (via v128.xor) compared to 64 bits per iteration in the JavaScript implementation using BigUint64Array. This alone gives a theoretical 2x speedup.However SIMD instructions execute XOR, popcount, and similar operations on multiple data lanes in parallel. This reduces the number of CPU cycles required for the same amount of work compared to sequential bitwise operations in JavaScript. SIMD in WebAssembly is likely 2x to 4x faster or more over big vectors.Check haming_distance_simd.wat for the WASM source code. Compiled using wat2wasm.const results = await db.queryBinarySIMD( "Find similar texts based on this query");console.log(results);Example of a binary hamming distance query over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles):The logs show offsets (0, 16, 32), which means the code processes 128 bits (16 bytes) at a time. Since the total vector is 384 bits, it takes 3 steps (384 ÷ 128 = 3), confirming 128-bit SIMD processing.For NextjsIf you're using Next.js, you may need to configure Webpack to work with Transformers.js. Add the following to your next.config.js file: { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },"> webpack: (config) => { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },ContributingFeel free to fork the repository, create issues, and submit pull requests. We welcome