How do I transfer large data between JS and Go efficiently?

Transfer Large Data Between JS and Go Efficiently

Transferring large data sets between JavaScript (JS) and Go can be challenging, especially when considering performance and efficiency. This guide provides strategies to optimize data transfer for web applications.

keywords: data transfer, JS and Go, efficiency, large datasets, performance optimization
description: Learn how to efficiently transfer large data between JavaScript and Go, leveraging WebSockets, JSON streaming, and proper data serialization techniques for optimal performance.

Example of Efficient Data Transfer

// Example Go Server package main import ( "encoding/json" "net/http" ) type Data struct { ID int `json:"id"` Name string `json:"name"` } func dataHandler(w http.ResponseWriter, r *http.Request) { w.Header().Set("Content-Type", "application/json") data := []Data{ {ID: 1, Name: "Item One"}, {ID: 2, Name: "Item Two"}, } json.NewEncoder(w).Encode(data) } func main() { http.HandleFunc("/data", dataHandler) http.ListenAndServe(":8080", nil) } // Example JavaScript Fetch API fetch('http://localhost:8080/data') .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error));

keywords: data transfer JS and Go efficiency large datasets performance optimization