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Best practices for building desktop applications in Go using SQLite and Electron

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Release: 2023-06-17 12:23:40
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With the popularity of desktop applications, more and more developers are beginning to consider using the Go language to build their applications. As a fast, efficient, and lightweight programming language, Go language is particularly suitable for building desktop applications. This article will introduce the best practices on how to build desktop applications using SQLite and Electron in the Go language.

  1. SQLite

SQLite is a lightweight embedded relational database whose data is stored in a single disk file. It is an open source software maintained and developed by D. Richard Hipp. SQLite is highly portable and suitable for a variety of operating systems and programming languages, including Java, .NET, C, Python, and Go.

In the Go language, you can use the "database/sql" package to connect and operate the SQLite database. This package is already built into the Go standard library, so there is no need to install additional libraries or dependencies.

The following is a sample code that uses Go language and SQLite to implement basic add, delete, modify and query operations:

// main.go
package main

import (
    "database/sql"
    "fmt"
    _ "github.com/mattn/go-sqlite3"
)

func main() {
    db, err := sql.Open("sqlite3", "./example.db")
    if err != nil {
        panic(err)
    }
    defer db.Close()

    // Create table
    _, err = db.Exec("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, age INT)")
    if err != nil {
        panic(err)
    }

    // Insert data
    stmt, err := db.Prepare("INSERT INTO users(name, age) values(?, ?)")
    if err != nil {
        panic(err)
    }
    defer stmt.Close()

    _, err = stmt.Exec("Alice", "25")
    if err != nil {
        panic(err)
    }

    // Query data
    rows, err := db.Query("SELECT * FROM users")
    if err != nil {
        panic(err)
    }
    defer rows.Close()

    var id int
    var name string
    var age int
    for rows.Next() {
        err = rows.Scan(&id, &name, &age)
        if err != nil {
            panic(err)
        }
        fmt.Printf("id=%d, name=%s, age=%d", id, name, age)
    }

    // Update data
    stmt, err = db.Prepare("UPDATE users SET age=? WHERE name=?")
    if err != nil {
        panic(err)
    }
    defer stmt.Close()

    _, err = stmt.Exec("30", "Alice")
    if err != nil {
        panic(err)
    }

    // Delete data
    stmt, err = db.Prepare("DELETE FROM users WHERE name=?")
    if err != nil {
        panic(err)
    }
    defer stmt.Close()

    _, err = stmt.Exec("Alice")
    if err != nil {
        panic(err)
    }
}
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  1. Electron

Electron is an open source Desktop application framework developed and maintained by GitHub. By using Electron, developers can build cross-platform desktop applications using web technologies (HTML, CSS, and JavaScript). Electron is widely used in the development of desktop applications, such as Visual Studio Code, Slack and Discord, etc.

In Electron applications, you can use the "better-sqlite3" package of Node.js to connect to a SQLite database. This package provides a simple and fast method for interacting with SQLite databases. The following is a sample code that uses Electron and SQLite to implement basic add, delete, modify and query operations:

// main.js
const { app, BrowserWindow } = require('electron');
const path = require('path');
const { Database } = require('better-sqlite3');

function createWindow () {
  const win = new BrowserWindow({
    width: 800,
    height: 600,
    webPreferences: {
      preload: path.join(__dirname, 'preload.js')
    }
  })

  win.loadFile('index.html')
}

app.whenReady().then(() => {
  const db = new Database('./example.db');

  // Create table
  db.exec(`
    CREATE TABLE IF NOT EXISTS users (
        id INTEGER PRIMARY KEY AUTOINCREMENT,
        name TEXT,
        age INT
    )
  `);

  // Insert data
  const stmt = db.prepare('INSERT INTO users(name, age) VALUES(?, ?)');
  stmt.run('Alice', 25);

  // Query data
  const rows = db.prepare('SELECT * FROM users').all();
  rows.forEach((row) => {
      console.log(`id=${row.id}, name=${row.name}, age=${row.age}`);
  });

  // Update data
  const updateStmt = db.prepare('UPDATE users SET age=? WHERE name=?');
  updateStmt.run(30, 'Alice');

  // Delete data
  const deleteStmt = db.prepare('DELETE FROM users WHERE name=?');
  deleteStmt.run('Alice');

  createWindow();
})

app.on('window-all-closed', () => {
  if (process.platform !== 'darwin') {
    app.quit()
  }
})

app.on('activate', () => {
  if (BrowserWindow.getAllWindows().length === 0) {
    createWindow()
  }
})
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  1. Best Practices

Building desktop applications using Go language and Electron When using SQLite, you can follow the following best practices:

(1) Use SQLite as a local database

SQLite is a lightweight embedded relational database suitable for local desktop applications Data storage and management. It is highly portable and easy to use, and can effectively meet the needs of desktop applications.

(2) Offline applications

Due to the local nature of desktop applications, developers can consider implementing offline applications. This can not only improve the running efficiency of the application, but also improve the user experience.

(3) The cross-platform advantages of using Go language and Electron

Go language and Electron both have cross-platform advantages, so developers can publish applications to multiple platforms at the same time. Increase coverage and user volume.

(4) Good interface design

Good interface design is one of the key factors in desktop application development. Developers should design easy-to-use and beautiful interfaces based on user needs and experience to improve user engagement and user satisfaction in the application.

(5) Security and data backup

Since desktop applications are local, developers should strengthen application security and data backup to prevent data loss and security vulnerabilities.

The above are the best practices for building desktop applications using SQLite and Electron in the Go language. Hope this article is helpful to you.

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