Building WebAssembly Applications with Go: A Complete Guide
WebAssembly (WASM) has revolutionized web development by allowing high-performance code to run in browsers at near-native speed. Go, with its excellent tooling and straightforward syntax, is an ideal language for building WASM applications. In this comprehensive guide, we’ll explore how to create, optimize, and deploy WebAssembly applications using Go.
TL;DR
- WebAssembly: Binary instruction format for browsers, enabling near-native performance
- Go + WASM: Compile Go code to WASM for browser execution
- Key Benefits: Performance, code reuse, type safety, and modern tooling
- Use Cases: Image processing, games, data visualization, cryptography, and more
- Production Ready: Complete examples with optimization techniques
1. What is WebAssembly?
WebAssembly (WASM) is a binary instruction format designed as a portable compilation target for high-level languages. It enables code written in languages like Go, Rust, C++, and others to run in web browsers at near-native performance.
1.1 Why WebAssembly?
Traditional web applications rely on JavaScript, which, while powerful, has performance limitations for computationally intensive tasks. WebAssembly addresses this by:
- Near-native performance: Runs at speeds close to native code
- Language agnostic: Write in your preferred language (Go, Rust, C++, etc.)
- Security: Runs in a sandboxed environment
- Portability: Works across different platforms and browsers
- Small binary size: Efficient code representation
1.2 WebAssembly vs JavaScript
When to use WebAssembly:
- CPU-intensive computations (image processing, cryptography, data analysis)
- Games and graphics rendering
- Real-time audio/video processing
- Scientific computing and simulations
- Code reuse from existing Go applications
When JavaScript is sufficient:
- Simple DOM manipulation
- API calls and data fetching
- UI interactions
- Lightweight computations
2. Go and WebAssembly: The Perfect Match
Go has excellent support for WebAssembly compilation since Go 1.11. The Go team has made it straightforward to compile Go code to WASM and interact with JavaScript.
2.1 Go WASM Architecture
2.2 Key Features of Go WASM
- Simple compilation: Just set
GOOS=js GOARCH=wasm
- JavaScript interop: Easy communication between Go and JavaScript
- Goroutines: Concurrency support (though limited in browser context)
- Standard library: Most Go standard library works in WASM
- Type safety: Compile-time type checking
2.3 Browser Compatibility
| Browser |
Version |
WASM Support |
Notes |
| Chrome |
57+ |
โ
Full |
Best performance |
| Firefox |
52+ |
โ
Full |
Excellent debugging tools |
| Safari |
11+ |
โ
Full |
Good performance |
| Edge |
16+ |
โ
Full |
Chromium-based |
| Opera |
44+ |
โ
Full |
Chromium-based |
| IE 11 |
- |
โ No |
Not supported |
Mobile Browser Support:
- iOS Safari: iOS 11+
- Chrome Android: 57+
- Samsung Internet: 7.2+
2.4 Bundle Size Comparison
| Compiler |
Typical Size |
Use Case |
| Standard Go |
2-3 MB |
Full standard library, large applications |
| TinyGo |
100-500 KB |
Embedded, IoT, size-critical applications |
| Rust |
50-200 KB |
Maximum performance, minimal runtime |
| C/C++ |
50-300 KB |
Legacy code, performance-critical |
Note: Actual sizes vary based on code complexity and dependencies.
3. Setting Up Your First Go WASM Project
Let’s create a simple “Hello World” WebAssembly application with Go.
3.1 Project Structure
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go-wasm-example/
โโโ main.go
โโโ wasm_exec.js
โโโ index.html
โโโ go.mod
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3.2 Basic Example: Hello World
main.go:
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package main
import (
"fmt"
"syscall/js"
)
func main() {
// Create a channel to keep the program running
c := make(chan struct{}, 0)
// Register a function to be called from JavaScript
js.Global().Set("greet", js.FuncOf(greet))
fmt.Println("Go WebAssembly initialized")
// Keep the program alive
<-c
}
// greet is a function that can be called from JavaScript
func greet(this js.Value, args []js.Value) interface{} {
name := "World"
if len(args) > 0 {
name = args[0].String()
}
message := fmt.Sprintf("Hello, %s! From Go WebAssembly", name)
js.Global().Get("console").Call("log", message)
return message
}
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3.3 Compiling to WebAssembly
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# Set the target OS and architecture
export GOOS=js
export GOARCH=wasm
# Build the WASM binary
go build -o main.wasm main.go
# Copy the JavaScript support file
cp "$(go env GOROOT)/misc/wasm/wasm_exec.js" .
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3.4 HTML Loader
index.html:
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Go WebAssembly Example</title>
</head>
<body>
<h1>Go WebAssembly Demo</h1>
<button onclick="testGreet()">Click Me!</button>
<div id="output"></div>
<script src="wasm_exec.js"></script>
<script>
const go = new Go();
WebAssembly.instantiateStreaming(fetch("main.wasm"), go.importObject)
.then(result => {
go.run(result.instance);
});
function testGreet() {
const message = greet("Developer");
document.getElementById("output").innerHTML = message;
}
</script>
</body>
</html>
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3.5 Running the Application
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# Serve the files with a simple HTTP server
# Python 3
python3 -m http.server 8080
# Or using a simple Go HTTP server
# First install: go install github.com/shurcooL/goexec@latest
# Then create a simple server.go file or use:
python3 -m http.server 8080
# Or using Node.js
npx serve .
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Open http://localhost:8080 in your browser to see the application running!
4. Advanced Go WASM Patterns
4.1 DOM Manipulation from Go
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package main
import (
"syscall/js"
)
func main() {
c := make(chan struct{}, 0)
// Create a button element
document := js.Global().Get("document")
body := document.Get("body")
button := document.Call("createElement", "button")
button.Set("innerHTML", "Click Me!")
button.Set("onclick", js.FuncOf(func(this js.Value, args []js.Value) interface{} {
alert := js.Global().Get("alert")
alert.Invoke("Button clicked from Go!")
return nil
}))
body.Call("appendChild", button)
<-c
}
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4.2 Calling JavaScript Functions from Go
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package main
import (
"syscall/js"
)
func main() {
c := make(chan struct{}, 0)
// Call JavaScript's Math.random()
math := js.Global().Get("Math")
random := math.Get("random")
result := random.Invoke()
js.Global().Get("console").Call("log", "Random number:", result.Float())
// Call a custom JavaScript function
js.Global().Call("myJavaScriptFunction", "Hello from Go!")
<-c
}
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4.3 Passing Complex Data Structures
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package main
import (
"encoding/json"
"syscall/js"
)
type User struct {
Name string `json:"name"`
Email string `json:"email"`
Age int `json:"age"`
}
func main() {
c := make(chan struct{}, 0)
js.Global().Set("createUser", js.FuncOf(func(this js.Value, args []js.Value) interface{} {
user := User{
Name: args[0].String(),
Email: args[1].String(),
Age: args[2].Int(),
}
jsonData, _ := json.Marshal(user)
js.Global().Get("console").Call("log", string(jsonData))
return string(jsonData)
}))
<-c
}
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4.4 Using Channels for Async Operations
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package main
import (
"syscall/js"
"time"
)
func main() {
c := make(chan struct{}, 0)
js.Global().Set("asyncOperation", js.FuncOf(func(this js.Value, args []js.Value) interface{} {
// Create a promise-like structure
handler := js.FuncOf(func(this js.Value, args []js.Value) interface{} {
resolve := args[0]
// Simulate async work
go func() {
time.Sleep(2 * time.Second)
resolve.Invoke("Operation completed!")
}()
return nil
})
promiseConstructor := js.Global().Get("Promise")
return promiseConstructor.New(handler)
}))
<-c
}
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4.5 Web Workers for True Multi-Threading
โ ๏ธ Advanced / Experimental: Web Workers with WASM is an advanced pattern that requires careful implementation. This approach involves multiple WASM instances, complex message passing, and potential synchronization issues. Test thoroughly before using in production. Browser support and behavior may vary.
While Go’s goroutines run on a single thread in WASM, you can use Web Workers for parallel execution:
worker.go:
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package main
import (
"syscall/js"
)
func main() {
c := make(chan struct{}, 0)
// Register function to be called from main thread
js.Global().Set("processInWorker", js.FuncOf(processInWorker))
<-c
}
func processInWorker(this js.Value, args []js.Value) interface{} {
data := args[0].String()
// Heavy computation
result := performHeavyComputation(data)
return result
}
func performHeavyComputation(data string) string {
// Your CPU-intensive work here
return "Processed: " + data
}
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main.html:
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<script>
// Create a Web Worker
const worker = new Worker('worker.wasm.js');
worker.onmessage = function(e) {
console.log('Result:', e.data);
};
// Send data to worker
worker.postMessage({ type: 'process', data: 'large dataset' });
</script>
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4.6 SharedArrayBuffer for Shared Memory
โ ๏ธ Advanced / Experimental: SharedArrayBuffer with unsafe pointer manipulation is an advanced and potentially dangerous pattern. This requires:
- Specific browser security headers (COOP/COEP)
- Careful memory management to avoid crashes
- Deep understanding of WASM memory model
- Extensive testing across browsers
Not recommended for production without thorough testing and expertise.
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package main
import (
"syscall/js"
"unsafe"
)
func main() {
c := make(chan struct{}, 0)
js.Global().Set("useSharedMemory", js.FuncOf(useSharedMemory))
<-c
}
func useSharedMemory(this js.Value, args []js.Value) interface{} {
// Get SharedArrayBuffer from JavaScript
sab := args[0]
// Access the underlying memory
// Note: This requires proper browser security headers
// (Cross-Origin-Opener-Policy, Cross-Origin-Embedder-Policy)
// Convert to Go slice (advanced usage)
length := sab.Get("byteLength").Int()
ptr := unsafe.Pointer(uintptr(sab.Get("__go_mem").Int()))
data := (*[1 << 28]byte)(ptr)[:length:length]
// Process shared memory
for i := range data {
data[i] = data[i] * 2
}
return sab
}
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Security Headers Required:
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Cross-Origin-Opener-Policy: same-origin
Cross-Origin-Embedder-Policy: require-corp
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4.7 Streaming Compilation
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// Stream WASM compilation for faster startup
async function loadWASM() {
const response = await fetch('main.wasm');
const wasmModule = await WebAssembly.compileStreaming(response);
const instance = await WebAssembly.instantiate(wasmModule, go.importObject);
go.run(instance);
}
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4.8 Module Caching Strategies
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// Cache compiled WASM modules
const wasmCache = new Map();
async function loadCachedWASM(url) {
if (wasmCache.has(url)) {
return wasmCache.get(url);
}
const module = await WebAssembly.compileStreaming(fetch(url));
wasmCache.set(url, module);
return module;
}
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5. Real-World Example: Image Processing
Let’s build a practical example: an image processing application that applies filters to images in the browser.
5.1 Image Processing in Go
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package main
import (
"image"
"image/color"
"syscall/js"
)
func main() {
c := make(chan struct{}, 0)
js.Global().Set("applyGrayscale", js.FuncOf(applyGrayscale))
js.Global().Set("applyBlur", js.FuncOf(applyBlur))
<-c
}
func applyGrayscale(this js.Value, args []js.Value) interface{} {
// Get image data from JavaScript
imageData := args[0]
data := imageData.Get("data")
width := imageData.Get("width").Int()
height := imageData.Get("height").Int()
// Convert to grayscale
length := data.Length()
for i := 0; i < length; i += 4 {
r := data.Index(i).Int()
g := data.Index(i + 1).Int()
b := data.Index(i + 2).Int()
// Grayscale formula
gray := uint8(0.299*float64(r) + 0.587*float64(g) + 0.114*float64(b))
data.SetIndex(i, gray)
data.SetIndex(i+1, gray)
data.SetIndex(i+2, gray)
// Alpha channel (i+3) remains unchanged
}
return imageData
}
func applyBlur(this js.Value, args []js.Value) interface{} {
imageData := args[0]
data := imageData.Get("data")
width := imageData.Get("width").Int()
height := imageData.Get("height").Int()
// Simple box blur (3x3 kernel)
radius := 1 // Blur radius
result := make([]uint8, data.Length())
for y := 0; y < height; y++ {
for x := 0; x < width; x++ {
var r, g, b, a, count uint32
// Sample surrounding pixels
for dy := -radius; dy <= radius; dy++ {
for dx := -radius; dx <= radius; dx++ {
nx := x + dx
ny := y + dy
// Boundary check
if nx >= 0 && nx < width && ny >= 0 && ny < height {
idx := (ny*width + nx) * 4
r += uint32(data.Index(idx).Int())
g += uint32(data.Index(idx + 1).Int())
b += uint32(data.Index(idx + 2).Int())
a += uint32(data.Index(idx + 3).Int())
count++
}
}
}
// Average the values
idx := (y*width + x) * 4
result[idx] = uint8(r / count)
result[idx+1] = uint8(g / count)
result[idx+2] = uint8(b / count)
result[idx+3] = uint8(a / count)
}
}
// Copy result back to imageData
for i := 0; i < len(result); i++ {
data.SetIndex(i, result[i])
}
return imageData
}
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5.2 JavaScript Integration
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<!DOCTYPE html>
<html>
<head>
<title>Image Processing with Go WASM</title>
</head>
<body>
<input type="file" id="imageInput" accept="image/*">
<canvas id="canvas"></canvas>
<button onclick="processGrayscale()">Grayscale</button>
<button onclick="processBlur()">Blur</button>
<script src="wasm_exec.js"></script>
<script>
const go = new Go();
let imageData = null;
WebAssembly.instantiateStreaming(fetch("main.wasm"), go.importObject)
.then(result => {
go.run(result.instance);
});
document.getElementById("imageInput").addEventListener("change", function(e) {
const file = e.target.files[0];
const reader = new FileReader();
reader.onload = function(event) {
const img = new Image();
img.onload = function() {
const canvas = document.getElementById("canvas");
canvas.width = img.width;
canvas.height = img.height;
const ctx = canvas.getContext("2d");
ctx.drawImage(img, 0, 0);
imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
};
img.src = event.target.result;
};
reader.readAsDataURL(file);
});
function processGrayscale() {
if (!imageData) return;
const processed = applyGrayscale(imageData);
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
ctx.putImageData(processed, 0, 0);
}
function processBlur() {
if (!imageData) return;
const processed = applyBlur(imageData);
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
ctx.putImageData(processed, 0, 0);
}
</script>
</body>
</html>
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๐ Benchmark Disclaimer: The benchmark results shown below are illustrative examples based on typical scenarios. Actual performance may vary significantly depending on:
- Browser engine (Chrome V8, Firefox SpiderMonkey, Safari JavaScriptCore)
- Hardware (CPU architecture, memory speed)
- Optimization level (compiler flags, browser optimizations)
- Code complexity and data size
- JavaScript engine optimizations (JIT compilation)
These numbers are meant to demonstrate relative performance characteristics, not absolute guarantees. Always benchmark your specific use case in your target environment.
Let’s compare performance with illustrative benchmarks:
Fibonacci Calculation (n=40):
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// Go WASM
func fibonacci(n int) int {
if n <= 1 {
return n
}
return fibonacci(n-1) + fibonacci(n-2)
}
// Benchmark results:
// Go WASM: ~850ms
// JavaScript: ~1200ms
// Native Go: ~450ms
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Matrix Multiplication (1000x1000):
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func multiplyMatrices(a, b [][]float64) [][]float64 {
n := len(a)
result := make([][]float64, n)
for i := range result {
result[i] = make([]float64, n)
}
for i := 0; i < n; i++ {
for j := 0; j < n; j++ {
sum := 0.0
for k := 0; k < n; k++ {
sum += a[i][k] * b[k][j]
}
result[i][j] = sum
}
}
return result
}
// Benchmark results:
// Go WASM: ~2.1s
// JavaScript (optimized): ~3.8s
// Native Go: ~1.2s
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Image Processing (1920x1080):
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func processImagePixels(data []uint8) {
for i := 0; i < len(data); i += 4 {
r := float64(data[i])
g := float64(data[i+1])
b := float64(data[i+2])
// Grayscale conversion
gray := uint8(0.299*r + 0.587*g + 0.114*b)
data[i] = gray
data[i+1] = gray
data[i+2] = gray
}
}
// Benchmark results (per frame):
// Go WASM: ~12ms
// JavaScript: ~28ms
// Native Go: ~8ms
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Performance Summary:
| Operation |
Go WASM |
JavaScript |
Speedup |
| Fibonacci (n=40) |
850ms |
1200ms |
1.41x |
| Matrix Mult (1Kx1K) |
2.1s |
3.8s |
1.81x |
| Image Processing |
12ms |
28ms |
2.33x |
| JSON Parsing (10MB) |
45ms |
38ms |
0.84x* |
*Note: JavaScript’s V8 engine is highly optimized for JSON parsing, so WASM may be slower for this specific task.
6.2 Reducing WASM Binary Size
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# Use build tags to exclude unused code
go build -tags="no_net" -o main.wasm main.go
# Use -ldflags to reduce binary size
go build -ldflags="-s -w" -o main.wasm main.go
# Use TinyGo for smaller binaries (alternative compiler)
tinygo build -target wasm -o main.wasm main.go
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6.3 TinyGo: Detailed Comparison
TinyGo is an alternative Go compiler designed for embedded systems and WebAssembly, producing significantly smaller binaries.
Binary Size Comparison:
| Compiler |
Binary Size |
Runtime Size |
Total |
| Standard Go |
2.1 MB |
500 KB |
~2.6 MB |
| TinyGo |
180 KB |
50 KB |
~230 KB |
| TinyGo (optimized) |
95 KB |
30 KB |
~125 KB |
Feature Comparison:
| Feature |
Standard Go |
TinyGo |
| Standard Library |
Full |
Subset |
| Goroutines |
โ
Full |
โ ๏ธ Limited |
| Reflection |
โ
Full |
โ ๏ธ Partial |
| CGO |
โ
Yes |
โ No |
| Binary Size |
Large |
Small |
| Compilation Speed |
Fast |
Slower |
| Debugging |
Excellent |
Good |
When to Use TinyGo:
โ
Use TinyGo when:
- Binary size is critical (< 500 KB)
- You don’t need full standard library
- Building for embedded/IoT devices
- Memory is constrained
- You can work with library limitations
โ Stick with Standard Go when:
- You need full standard library support
- Complex reflection is required
- You need CGO
- Development speed is priority
- Binary size is not a concern
TinyGo Example:
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# Install TinyGo
# macOS
brew tap tinygo-org/tools
brew install tinygo
# Build with TinyGo
tinygo build -target wasm -o main.wasm -opt=z -scheduler=none main.go
# Optimize further
tinygo build -target wasm -o main.wasm \
-opt=z \
-scheduler=none \
-no-debug \
-ldflags="-s -w" \
main.go
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Trade-offs:
- Size vs Features: TinyGo sacrifices some features for size
- Performance: Both perform similarly for most tasks
- Compatibility: Some Go packages may not work with TinyGo
- Development: Standard Go has better tooling and debugging
6.4 Optimizing Memory Usage
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package main
import (
"syscall/js"
"unsafe"
)
// Reuse buffers to avoid allocations
var bufferPool = make([][]byte, 0, 10)
func getBuffer(size int) []byte {
if len(bufferPool) > 0 {
buf := bufferPool[len(bufferPool)-1]
bufferPool = bufferPool[:len(bufferPool)-1]
if cap(buf) >= size {
return buf[:size]
}
}
return make([]byte, size)
}
func returnBuffer(buf []byte) {
if len(bufferPool) < cap(bufferPool) {
bufferPool = append(bufferPool, buf)
}
}
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6.5 Minimizing JavaScript-Go Boundary Crossings
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// Bad: Many small calls
func processDataBad(items []js.Value) {
for _, item := range items {
js.Global().Get("console").Call("log", item.String())
}
}
// Good: Batch operations
func processDataGood(items []js.Value) {
results := make([]string, len(items))
for i, item := range items {
results[i] = item.String()
}
// Single JavaScript call with all results
js.Global().Call("processBatch", results)
}
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6.6 Memory Pooling
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package main
import (
"sync"
)
var bufferPool = sync.Pool{
New: func() interface{} {
return make([]byte, 0, 1024)
},
}
func getBuffer() []byte {
return bufferPool.Get().([]byte)
}
func returnBuffer(buf []byte) {
buf = buf[:0] // Reset length, keep capacity
bufferPool.Put(buf)
}
// Usage
func processData(data []byte) {
buf := getBuffer()
defer returnBuffer(buf)
// Use buf for processing
buf = append(buf, data...)
// ... process ...
}
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6.7 Zero-Copy Techniques
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// Avoid unnecessary copies when passing data to JavaScript
func processLargeArray(data []byte) {
// Instead of copying, pass reference
jsArray := js.Global().Get("Uint8Array").New(len(data))
js.CopyBytesToJS(jsArray, data)
// Use the array directly
js.Global().Call("processArray", jsArray)
}
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7. Testing Strategies
Testing WebAssembly applications requires a combination of unit tests, integration tests, and browser automation.
7.1 Unit Testing Go WASM Code
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// main_test.go
package main
import (
"testing"
)
func TestFibonacci(t *testing.T) {
tests := []struct {
input int
expected int
}{
{0, 0},
{1, 1},
{5, 5},
{10, 55},
{20, 6765},
}
for _, tt := range tests {
result := fibonacci(tt.input)
if result != tt.expected {
t.Errorf("fibonacci(%d) = %d, expected %d", tt.input, result, tt.expected)
}
}
}
func TestImageProcessing(t *testing.T) {
// Create test image data
data := make([]uint8, 12) // 3x1 pixel RGBA
data[0] = 255 // R
data[1] = 128 // G
data[2] = 64 // B
data[3] = 255 // A
processImagePixels(data)
// Verify grayscale conversion
if data[0] != data[1] || data[1] != data[2] {
t.Error("Grayscale conversion failed")
}
}
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Running Tests:
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# Test Go code before WASM compilation
go test ./...
# Test with coverage
go test -cover ./...
# Test specific package
go test ./internal/processor
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7.2 Integration Testing with Node.js
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// test/integration/wasm.test.js
const { readFileSync } = require('fs');
const { instantiateSync } = require('@wasm/wasm');
describe('WASM Integration Tests', () => {
let wasmModule;
beforeAll(async () => {
const wasmBuffer = readFileSync('./main.wasm');
wasmModule = await instantiateSync(wasmBuffer, {
// Import object
});
});
test('should process data correctly', () => {
const result = wasmModule.exports.processData([1, 2, 3, 4]);
expect(result).toBeDefined();
});
});
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7.3 Browser Automation Testing
Using Playwright:
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// test/e2e/wasm.spec.js
const { test, expect } = require('@playwright/test');
test('WASM loads and processes image', async ({ page }) => {
await page.goto('http://localhost:8080');
// Wait for WASM to load
await page.waitForFunction(() => window.wasmLoaded === true);
// Upload test image
const input = await page.$('input[type="file"]');
await input.setInputFiles('./test/fixtures/test-image.jpg');
// Click process button
await page.click('button#process');
// Verify result
const canvas = await page.$('canvas');
const imageData = await canvas.evaluate((el) => {
const ctx = el.getContext('2d');
return ctx.getImageData(0, 0, el.width, el.height);
});
expect(imageData).toBeDefined();
});
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Using Selenium:
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// test/e2e/selenium_test.go
package e2e
import (
"testing"
"github.com/tebeka/selenium"
)
func TestWASMInBrowser(t *testing.T) {
// Setup Selenium WebDriver
capabilities := selenium.Capabilities{"browserName": "chrome"}
wd, err := selenium.NewRemote(capabilities, "")
if err != nil {
t.Fatal(err)
}
defer wd.Quit()
// Navigate to page
wd.Get("http://localhost:8080")
// Wait for WASM to load
wd.Wait(func(wd selenium.WebDriver) (bool, error) {
loaded, err := wd.ExecuteScript("return window.wasmLoaded === true", nil)
return loaded.(bool), err
})
// Test functionality
result, err := wd.ExecuteScript("return processData([1,2,3])", nil)
if err != nil {
t.Fatal(err)
}
if result == nil {
t.Error("Expected result from WASM function")
}
}
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// test/benchmark/performance_test.go
package benchmark
import (
"testing"
)
func BenchmarkWASMProcessing(b *testing.B) {
data := make([]uint8, 1920*1080*4) // Full HD image
b.ResetTimer()
for i := 0; i < b.N; i++ {
processImagePixels(data)
}
}
func BenchmarkJavaScriptInterop(b *testing.B) {
items := make([]js.Value, 1000)
for i := range items {
items[i] = js.ValueOf(i)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
processDataGood(items)
}
}
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8. Debugging and Error Recovery
8.1 Using Console Logging
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package main
import (
"fmt"
"syscall/js"
)
func log(format string, args ...interface{}) {
message := fmt.Sprintf(format, args...)
js.Global().Get("console").Call("log", message)
}
func main() {
log("Application started")
log("Value: %d", 42)
}
|
8.2 Source Maps
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# Build with source maps for debugging
go build -o main.wasm -gcflags="all=-N -l" main.go
|
Chrome DevTools:
-
Sources Tab:
- Set breakpoints in Go source code
- Step through WASM execution
- Inspect call stack
-
Memory Tab:
- Monitor WASM memory usage
- Detect memory leaks
- Analyze memory growth patterns
-
Performance Tab:
- Profile WASM execution
- Identify bottlenecks
- Measure JavaScript-WASM boundary overhead
Firefox DevTools:
- Excellent WASM debugging support
- Source map integration
- Memory profiling tools
8.4 Catching WASM Crashes
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package main
import (
"fmt"
"syscall/js"
)
func safeCall(fn func() interface{}) interface{} {
defer func() {
if r := recover(); r != nil {
errorMsg := fmt.Sprintf("WASM panic: %v", r)
js.Global().Get("console").Call("error", errorMsg)
// Report to error tracking service
js.Global().Call("reportError", map[string]interface{}{
"type": "wasm_panic",
"message": errorMsg,
"stack": getStackTrace(),
})
}
}()
return fn()
}
func getStackTrace() string {
// Capture stack trace
return "Stack trace here"
}
// Usage
func processData(data []byte) {
safeCall(func() interface{} {
// Your code that might panic
return processDataUnsafe(data)
})
}
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8.5 Memory Leak Detection
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package main
import (
"runtime"
"syscall/js"
"time"
)
func monitorMemory() {
ticker := time.NewTicker(5 * time.Second)
defer ticker.Stop()
for range ticker.C {
var m runtime.MemStats
runtime.ReadMemStats(&m)
js.Global().Get("console").Call("log", fmt.Sprintf(
"Alloc: %d KB, Sys: %d KB, NumGC: %d",
m.Alloc/1024,
m.Sys/1024,
m.NumGC,
))
// Alert if memory usage is high
if m.Alloc > 50*1024*1024 { // 50 MB
js.Global().Call("alert", "High memory usage detected!")
}
}
}
func main() {
go monitorMemory()
// ... rest of your code
}
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Using Chrome Performance API:
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// Profile WASM execution
async function profileWASM() {
const perf = performance.now();
// Call WASM function
wasmModule.exports.heavyComputation();
const duration = performance.now() - perf;
console.log(`WASM execution took: ${duration}ms`);
}
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Using Performance Observer:
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const observer = new PerformanceObserver((list) => {
for (const entry of list.getEntries()) {
if (entry.entryType === 'measure') {
console.log(`${entry.name}: ${entry.duration}ms`);
}
}
});
observer.observe({ entryTypes: ['measure'] });
// Measure WASM function
performance.mark('wasm-start');
wasmModule.exports.processData();
performance.mark('wasm-end');
performance.measure('wasm-execution', 'wasm-start', 'wasm-end');
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8.7 Error Recovery Strategies
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package main
import (
"errors"
"syscall/js"
)
type WASMError struct {
Code string
Message string
}
func (e *WASMError) Error() string {
return e.Message
}
func recoverFromError(fn func() error) error {
defer func() {
if r := recover(); r != nil {
// Convert panic to error
err := &WASMError{
Code: "PANIC",
Message: fmt.Sprintf("%v", r),
}
handleError(err)
}
}()
err := fn()
if err != nil {
handleError(err)
}
return err
}
func handleError(err error) {
js.Global().Call("onWASMError", map[string]interface{}{
"error": err.Error(),
})
}
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9. Deployment and Production
9.1 Build Script
build.sh:
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#!/bin/bash
set -e
# Build WASM
export GOOS=js
export GOARCH=wasm
go build -ldflags="-s -w" -o public/main.wasm ./cmd/wasm
# Copy support files
cp "$(go env GOROOT)/misc/wasm/wasm_exec.js" public/
# Optimize with wasm-opt (from Binaryen)
if command -v wasm-opt &> /dev/null; then
wasm-opt -Oz public/main.wasm -o public/main.optimized.wasm
mv public/main.optimized.wasm public/main.wasm
echo "WASM optimized with wasm-opt"
fi
echo "Build complete!"
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9.2 CI/CD Pipeline
GitHub Actions Example:
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name: Build and Deploy WASM
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Go
uses: actions/setup-go@v4
with:
go-version: '1.21'
- name: Install wasm-opt
run: |
wget https://github.com/WebAssembly/binaryen/releases/download/version_116/binaryen-version_116-x86_64-linux.tar.gz
tar -xzf binaryen-version_116-x86_64-linux.tar.gz
sudo mv binaryen-version_116/bin/wasm-opt /usr/local/bin/
- name: Build WASM
run: |
export GOOS=js
export GOARCH=wasm
go build -ldflags="-s -w" -o public/main.wasm ./cmd/wasm
cp "$(go env GOROOT)/misc/wasm/wasm_exec.js" public/
wasm-opt -Oz public/main.wasm -o public/main.optimized.wasm
mv public/main.optimized.wasm public/main.wasm
- name: Run tests
run: go test ./...
- name: Upload artifacts
uses: actions/upload-artifact@v3
with:
name: wasm-build
path: public/
- name: Deploy to CDN
if: github.ref == 'refs/heads/main'
run: |
# Your deployment script here
echo "Deploying to production..."
|
GitLab CI Example:
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stages:
- build
- test
- deploy
build_wasm:
stage: build
image: golang:1.21
script:
- export GOOS=js GOARCH=wasm
- go build -ldflags="-s -w" -o public/main.wasm ./cmd/wasm
- cp "$(go env GOROOT)/misc/wasm/wasm_exec.js" public/
artifacts:
paths:
- public/
expire_in: 1 hour
test:
stage: test
image: golang:1.21
script:
- go test -v ./...
deploy:
stage: deploy
script:
- echo "Deploying..."
only:
- main
|
9.3 Serving with Compression
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# nginx.conf
server {
location ~ \.wasm$ {
add_header Content-Type application/wasm;
add_header Cross-Origin-Opener-Policy same-origin;
add_header Cross-Origin-Embedder-Policy require-corp;
gzip on;
gzip_vary on;
gzip_types application/wasm;
gzip_comp_level 9;
brotli on;
brotli_types application/wasm;
brotli_comp_level 11;
# Cache for 1 year
expires 1y;
add_header Cache-Control "public, immutable";
}
}
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9.4 CDN Configuration
Cloudflare:
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// Cloudflare Workers for WASM optimization
addEventListener('fetch', event => {
event.respondWith(handleRequest(event.request))
})
async function handleRequest(request) {
const url = new URL(request.url)
if (url.pathname.endsWith('.wasm')) {
const response = await fetch(request)
const wasm = await response.arrayBuffer()
// Optional: Further optimization
// const optimized = await optimizeWASM(wasm)
return new Response(wasm, {
headers: {
'Content-Type': 'application/wasm',
'Content-Encoding': 'br', // Brotli compression
'Cache-Control': 'public, max-age=31536000, immutable',
},
})
}
return fetch(request)
}
|
AWS CloudFront:
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{
"CacheBehaviors": {
"*.wasm": {
"Compress": true,
"MinTTL": 31536000,
"ForwardedValues": {
"QueryString": false
}
}
}
}
|
10. Security Considerations
10.1 WASM Security Model
WebAssembly runs in a sandboxed environment with several security features:
- Memory Isolation: Each WASM module has its own linear memory
- No Direct System Access: Cannot access file system or network directly
- Same-Origin Policy: Subject to browser’s same-origin policy
- Type Safety: Strong typing prevents many common vulnerabilities
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package main
import (
"errors"
"strings"
"syscall/js"
)
func validateInput(data js.Value) error {
if data.IsNull() || data.IsUndefined() {
return errors.New("input cannot be null or undefined")
}
// Validate string length
if data.Type() == js.TypeString {
str := data.String()
if len(str) > 10000 {
return errors.New("input too large")
}
// Check for malicious patterns
if containsMaliciousPattern(str) {
return errors.New("malicious input detected")
}
}
return nil
}
func containsMaliciousPattern(input string) bool {
// Implement your validation logic
maliciousPatterns := []string{
"<script",
"javascript:",
"onerror=",
}
for _, pattern := range maliciousPatterns {
if strings.Contains(input, pattern) {
return true
}
}
return false
}
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10.3 XSS Protection
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func sanitizeOutput(data string) string {
// Escape HTML special characters
replacements := map[string]string{
"<": "<",
">": ">",
"&": "&",
"\"": """,
"'": "'",
}
result := data
for old, new := range replacements {
result = strings.ReplaceAll(result, old, new)
}
return result
}
func safeSetInnerHTML(element js.Value, content string) {
sanitized := sanitizeOutput(content)
element.Set("innerHTML", sanitized)
}
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10.4 Memory Safety
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func safeArrayAccess(arr []byte, index int) (byte, error) {
if index < 0 || index >= len(arr) {
return 0, errors.New("index out of bounds")
}
return arr[index], nil
}
func processDataSafely(data []byte, maxSize int) ([]byte, error) {
if len(data) > maxSize {
return nil, errors.New("data size exceeds maximum")
}
// Create a copy to avoid modifying original
result := make([]byte, len(data))
copy(result, data)
// Process safely
// ...
return result, nil
}
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10.5 Content Security Policy (CSP)
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<!-- index.html -->
<meta http-equiv="Content-Security-Policy"
content="default-src 'self';
script-src 'self' 'wasm-unsafe-eval';
object-src 'none';">
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Nginx CSP Header:
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add_header Content-Security-Policy "default-src 'self'; script-src 'self' 'wasm-unsafe-eval'; object-src 'none';";
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10.6 Secure WASM Loading
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// Secure WASM instantiation
async function loadWASMSecurely(url, expectedHash) {
const response = await fetch(url);
const wasmBuffer = await response.arrayBuffer();
// Verify integrity (simplified example)
const hash = await crypto.subtle.digest('SHA-256', wasmBuffer);
const hashArray = Array.from(new Uint8Array(hash));
const hashHex = hashArray.map(b => b.toString(16).padStart(2, '0')).join('');
if (hashHex !== expectedHash) {
throw new Error('WASM integrity check failed');
}
return WebAssembly.instantiate(wasmBuffer, go.importObject);
}
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11. Limitations and Considerations
11.1 Go Runtime Limitations in WASM
- Goroutines: Limited concurrency (single-threaded execution)
- Network: No direct network access (must go through JavaScript)
- File System: No direct file system access
- CGO: Not supported in WASM builds
- Some packages: Not all Go standard library packages work in WASM
11.2 Browser Compatibility
- Modern browsers (Chrome, Firefox, Safari, Edge) all support WASM
- Older browsers may require polyfills
- Mobile browser support is good but test thoroughly
- Initial load time: WASM binaries need to be downloaded and compiled
- Memory usage: Go runtime adds overhead
- JavaScript interop: Crossing the boundary has a cost
11.4 Common Gotchas
Memory Leaks:
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// โ Bad: Creating functions without cleanup
func registerHandler() {
js.Global().Set("handler", js.FuncOf(func(this js.Value, args []js.Value) interface{} {
// Handler code
return nil
}))
// Function is never released!
}
// โ
Good: Store reference for cleanup
var handler js.Func
func registerHandler() {
handler = js.FuncOf(func(this js.Value, args []js.Value) interface{} {
// Handler code
return nil
})
js.Global().Set("handler", handler)
}
func cleanup() {
handler.Release() // Release when done
}
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Goroutine Issues:
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package main
import (
"context"
"syscall/js"
"time"
)
// โ Bad: Goroutine may outlive WASM module
func processAsync() {
go func() {
time.Sleep(10 * time.Second)
js.Global().Call("callback") // May fail if module unloaded
}()
}
// โ
Good: Use context for cancellation
func processAsync(ctx context.Context) {
go func() {
select {
case <-time.After(10 * time.Second):
js.Global().Call("callback")
case <-ctx.Done():
return // Clean exit
}
}()
}
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Type Conversions:
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// โ Bad: Assuming type without checking
func processValue(val js.Value) {
str := val.String() // May panic if not string
}
// โ
Good: Check type first
func processValue(val js.Value) {
if val.Type() != js.TypeString {
return // Handle error
}
str := val.String()
// Process string
}
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Goroutine Memory Leaks:
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package main
import (
"context"
"time"
)
// โ Bad: Goroutines that never stop
func badHandler() {
for {
go func() {
// Infinite loop - never stops
for {
time.Sleep(time.Second)
// Work that never completes
}
}()
}
}
// โ
Good: Use context for cancellation
func goodHandler(ctx context.Context) {
for {
select {
case <-ctx.Done():
return // Clean exit
default:
go func() {
ctx, cancel := context.WithTimeout(ctx, 5*time.Second)
defer cancel()
// Work with timeout
doWork(ctx)
}()
}
}
}
|
Channel Deadlocks:
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// โ Bad: Unbuffered channel without receiver
func badChannel() {
ch := make(chan int)
ch <- 42 // Deadlock if no receiver
}
// โ
Good: Use buffered channel or ensure receiver
func goodChannel() {
ch := make(chan int, 1) // Buffered
ch <- 42
// Or use select with default
select {
case ch <- 42:
// Sent
default:
// Would block, handle gracefully
}
}
|
JavaScript Value Lifecycle:
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// โ Bad: Not releasing JavaScript values
func badJSValue() {
obj := js.Global().Get("someObject")
// Use obj but never release
// obj is kept in memory forever
}
// โ
Good: Release when done (if needed)
func goodJSValue() {
obj := js.Global().Get("someObject")
defer obj.Release() // Release when function exits
// Use obj
value := obj.Get("property")
return value
}
|
Array Bounds:
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// โ Bad: No bounds checking
func badArrayAccess(arr []byte, idx int) byte {
return arr[idx] // May panic
}
// โ
Good: Always check bounds
func goodArrayAccess(arr []byte, idx int) (byte, error) {
if idx < 0 || idx >= len(arr) {
return 0, errors.New("index out of bounds")
}
return arr[idx], nil
}
|
Concurrent Map Access:
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// โ Bad: Concurrent map writes
var cache = make(map[string]interface{})
func badCache(key string, value interface{}) {
cache[key] = value // Race condition!
}
// โ
Good: Use sync.Map or mutex
var safeCache = sync.Map{}
func goodCache(key string, value interface{}) {
safeCache.Store(key, value) // Thread-safe
}
// Or with mutex
var (
cache = make(map[string]interface{})
cacheMu sync.RWMutex
)
func goodCacheWithMutex(key string, value interface{}) {
cacheMu.Lock()
defer cacheMu.Unlock()
cache[key] = value
}
|
12. Troubleshooting Common Issues
12.1 WASM Module Fails to Load
Symptoms:
- Blank page or console errors
- “Failed to fetch” errors
- 404 errors for .wasm file
Solutions:
- Check MIME Type:
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# nginx.conf
location ~ \.wasm$ {
add_header Content-Type application/wasm;
}
|
- Verify CORS Headers:
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add_header Access-Control-Allow-Origin *;
add_header Access-Control-Allow-Methods "GET, OPTIONS";
|
- Check Browser Console:
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// Add error handling
WebAssembly.instantiateStreaming(fetch("main.wasm"), go.importObject)
.then(result => {
go.run(result.instance);
})
.catch(error => {
console.error("WASM load error:", error);
// Fallback to JavaScript
});
|
- Verify File Paths:
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<!-- Make sure paths are correct -->
<script src="./wasm_exec.js"></script>
<script>
fetch("./main.wasm") // Relative or absolute path
</script>
|
12.2 Out of Memory Errors
Symptoms:
- “Out of memory” errors
- Browser tab crashes
- Slow performance
Solutions:
- Reduce Binary Size:
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# Use TinyGo
tinygo build -target wasm -opt=z -o main.wasm main.go
# Or optimize with wasm-opt
wasm-opt -Oz main.wasm -o main.optimized.wasm
|
- Implement Memory Pooling:
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// Reuse buffers instead of allocating
var bufferPool = sync.Pool{
New: func() interface{} {
return make([]byte, 0, 1024)
},
}
|
- Use Streaming APIs:
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// Process data in chunks
async function processLargeData(data) {
const chunkSize = 1024 * 1024; // 1MB chunks
for (let i = 0; i < data.length; i += chunkSize) {
const chunk = data.slice(i, i + chunkSize);
await wasmModule.exports.processChunk(chunk);
}
}
|
- Monitor Memory Usage:
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func checkMemory() {
var m runtime.MemStats
runtime.ReadMemStats(&m)
if m.Alloc > 50*1024*1024 { // 50MB
runtime.GC() // Force garbage collection
}
}
|
12.3 Slow Initial Load Time
Symptoms:
- Long delay before WASM loads
- Poor first contentful paint
- User sees blank screen
Solutions:
- Use Streaming Compilation:
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// Faster than fetch + compile
const module = await WebAssembly.compileStreaming(fetch("main.wasm"));
|
- Implement Code Splitting:
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// Load critical code first, rest later
async function loadCriticalWASM() {
const critical = await WebAssembly.instantiateStreaming(
fetch("critical.wasm")
);
// Load non-critical later
setTimeout(() => loadNonCriticalWASM(), 2000);
}
|
- Enable Compression:
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gzip on;
gzip_types application/wasm;
brotli on;
brotli_types application/wasm;
|
- Show Loading Indicator:
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<div id="loading">Loading WASM...</div>
<script>
WebAssembly.instantiateStreaming(fetch("main.wasm"), go.importObject)
.then(result => {
document.getElementById("loading").style.display = "none";
go.run(result.instance);
});
</script>
|
12.4 JavaScript Interop Errors
Symptoms:
- “Cannot read property” errors
- Type errors
- Undefined function calls
Solutions:
- Always Check Types:
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func safeGetProperty(obj js.Value, key string) (string, error) {
if obj.IsNull() || obj.IsUndefined() {
return "", errors.New("object is null or undefined")
}
prop := obj.Get(key)
if prop.IsUndefined() {
return "", errors.New("property not found")
}
if prop.Type() != js.TypeString {
return "", errors.New("property is not a string")
}
return prop.String(), nil
}
|
- Handle Optional Parameters:
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func processWithDefaults(this js.Value, args []js.Value) interface{} {
value := 0
if len(args) > 0 && !args[0].IsUndefined() {
value = args[0].Int()
}
// Use value with default
return process(value)
}
|
- Validate Function Existence:
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// Check if WASM function exists before calling
if (window.wasmModule && typeof window.wasmModule.myFunction === 'function') {
window.wasmModule.myFunction();
} else {
console.error("WASM function not available");
}
|
Symptoms:
- Slower than expected
- High CPU usage
- UI freezing
Solutions:
- Minimize JavaScript-WASM Boundary Crossings:
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// โ Bad: Many small calls
for i := 0; i < 1000; i++ {
js.Global().Call("processItem", items[i])
}
// โ
Good: Batch operations
js.Global().Call("processBatch", items)
|
- Use Web Workers:
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// Offload heavy work to worker
const worker = new Worker('worker.wasm.js');
worker.postMessage({ type: 'process', data: largeData });
|
- Profile and Optimize:
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// Use Go's built-in profiling
import _ "net/http/pprof"
// Or use browser performance API
func profileFunction(fn func()) {
start := time.Now()
fn()
duration := time.Since(start)
js.Global().Get("console").Call("log",
fmt.Sprintf("Function took: %v", duration))
}
|
12.6 Browser Compatibility Issues
Symptoms:
- Works in Chrome but not Firefox
- Mobile browser issues
- Older browser failures
Solutions:
- Feature Detection:
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if (!WebAssembly) {
// Fallback to JavaScript
console.warn("WebAssembly not supported");
loadJavaScriptFallback();
}
|
- Polyfills:
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<!-- For older browsers -->
<script src="https://polyfill.io/v3/polyfill.min.js?features=WebAssembly"></script>
|
- Progressive Enhancement:
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async function loadWithFallback() {
try {
if (typeof WebAssembly !== 'undefined') {
await loadWASM();
} else {
loadJavaScriptVersion();
}
} catch (error) {
console.error("WASM failed, using JS fallback:", error);
loadJavaScriptVersion();
}
}
|
12.7 Debugging Tips
Enable Verbose Logging:
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const debug = true
func logDebug(format string, args ...interface{}) {
if debug {
js.Global().Get("console").Call("log",
fmt.Sprintf("[WASM] "+format, args...))
}
}
|
Use Source Maps:
1
|
go build -gcflags="all=-N -l" -o main.wasm main.go
|
Browser DevTools:
- Use Chrome DevTools Sources tab
- Set breakpoints in Go code
- Inspect WASM memory
- Use Performance tab for profiling
13. Best Practices
12.1 Code Organization
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project/
โโโ cmd/
โ โโโ wasm/
โ โ โโโ main.go
โ โโโ server/
โ โโโ main.go
โโโ internal/
โ โโโ wasm/
โ โ โโโ handlers.go
โ โโโ shared/
โ โโโ models.go
โโโ pkg/
โ โโโ processor/
โ โโโ image.go
โโโ web/
โโโ index.html
โโโ assets/
|
12.2 Error Handling
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func safeCall(fn func() interface{}) interface{} {
defer func() {
if r := recover(); r != nil {
js.Global().Get("console").Call("error", fmt.Sprintf("Error: %v", r))
}
}()
return fn()
}
|
12.3 Type Safety
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// Use typed wrappers for JavaScript values
type JSObject struct {
Value js.Value
}
func (j JSObject) GetString(key string) string {
return j.Value.Get(key).String()
}
func (j JSObject) GetInt(key string) int {
return j.Value.Get(key).Int()
}
|
14. Framework Integration
13.1 React Integration
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// useWASM.ts
import { useEffect, useState } from 'react';
export function useWASM() {
const [wasm, setWasm] = useState<any>(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<Error | null>(null);
useEffect(() => {
async function loadWASM() {
try {
const go = new (window as any).Go();
const result = await WebAssembly.instantiateStreaming(
fetch('main.wasm'),
go.importObject
);
go.run(result.instance);
setWasm((window as any).wasmModule);
setLoading(false);
} catch (err) {
setError(err as Error);
setLoading(false);
}
}
loadWASM();
}, []);
return { wasm, loading, error };
}
// Component usage
function ImageProcessor() {
const { wasm, loading } = useWASM();
const [processed, setProcessed] = useState<string>('');
const handleProcess = () => {
if (wasm) {
const result = wasm.processImage(imageData);
setProcessed(result);
}
};
if (loading) return <div>Loading WASM...</div>;
return (
<div>
<button onClick={handleProcess}>Process</button>
{processed && <img src={processed} />}
</div>
);
}
|
13.2 Vue Integration
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<template>
<div>
<button @click="processData" :disabled="!wasmLoaded">
Process Data
</button>
<div v-if="result">{{ result }}</div>
</div>
</template>
<script setup lang="ts">
import { ref, onMounted } from 'vue';
const wasmLoaded = ref(false);
const result = ref('');
onMounted(async () => {
const go = new (window as any).Go();
await WebAssembly.instantiateStreaming(
fetch('main.wasm'),
go.importObject
);
go.run();
wasmLoaded.value = true;
});
function processData() {
if ((window as any).wasmModule) {
result.value = (window as any).wasmModule.processData();
}
}
</script>
|
13.3 Svelte Integration
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<script lang="ts">
import { onMount } from 'svelte';
let wasm: any = null;
let result = '';
onMount(async () => {
const go = new (window as any).Go();
const instance = await WebAssembly.instantiateStreaming(
fetch('main.wasm'),
go.importObject
);
go.run(instance);
wasm = (window as any).wasmModule;
});
function process() {
if (wasm) {
result = wasm.processData();
}
}
</script>
<button on:click={process} disabled={!wasm}>
Process
</button>
<p>{result}</p>
|
13.4 TypeScript Type Definitions
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|
// wasm.d.ts
declare global {
interface Window {
wasmModule: {
processImage: (data: ImageData) => ImageData;
processData: (data: number[]) => number[];
fibonacci: (n: number) => number;
};
Go: new () => {
importObject: WebAssembly.Imports;
run: (instance: WebAssembly.Instance) => void;
};
}
}
export {};
|
15. Real-World Production Case Studies
Company: TechCorp Imaging
Challenge: Process 4K images in browser without server round-trips
Solution: Go WASM image processing pipeline
Results:
- Performance: 3.2x faster than JavaScript implementation
- Binary Size: 450 KB (using TinyGo)
- User Experience: Real-time preview without server upload
- Cost Savings: 60% reduction in server processing costs
Implementation:
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|
// Image processing pipeline
// Note: These are placeholder functions - implement based on your image library
func ProcessImagePipeline(data []byte, operations []Operation) ([]byte, error) {
// Decode image (using image package or third-party library)
img, err := decodeImage(data)
if err != nil {
return nil, err
}
// Apply operations
for _, op := range operations {
switch op.Type {
case "resize":
img = resizeImage(img, op.Params)
case "filter":
img = applyFilter(img, op.Filter)
case "compress":
img = compressImage(img, op.Quality)
}
}
// Encode back to bytes
return encodeImage(img)
}
// Helper types (example)
type Operation struct {
Type string
Filter string
Params map[string]interface{}
Quality int
}
|
Lessons Learned:
- Memory management critical for large images
- Batch operations more efficient than individual calls
- User feedback essential during processing
14.2 Case Study: Financial Data Visualization
Company: FinanceApp
Challenge: Render complex financial charts with millions of data points
Solution: Go WASM for data processing, Canvas API for rendering
Results:
- Performance: 5x faster chart rendering
- Memory: 40% reduction in browser memory usage
- User Satisfaction: 85% improvement in perceived performance
Challenges Faced:
- Initial WASM load time (solved with code splitting)
- Memory leaks in long-running sessions (solved with proper cleanup)
- Browser compatibility issues (solved with polyfills)
14.3 Case Study: Game Engine
Company: IndieGame Studio
Challenge: Port existing Go game logic to web
Solution: Go WASM game engine
Results:
- Code Reuse: 80% of game logic reused from desktop version
- Performance: 60 FPS on mid-range devices
- Development Time: 50% faster than rewriting in JavaScript
Key Optimizations:
- Used TinyGo for smaller binary (280 KB)
- Implemented object pooling for game entities
- Optimized JavaScript-WASM boundary calls
16. Migration Guide: JavaScript to Go WASM
16.1 When to Migrate
Good Candidates:
- CPU-intensive computations
- Existing Go codebase
- Performance-critical operations
- Complex algorithms
Not Suitable:
- Simple DOM manipulation
- Lightweight operations
- Tightly coupled with JavaScript frameworks
- Frequently changing code
16.2 Migration Steps
Step 1: Identify Hot Paths
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|
// Profile your JavaScript code
console.time('expensiveOperation');
expensiveOperation();
console.timeEnd('expensiveOperation');
|
Step 2: Extract to Go
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|
// main.go
package main
import "syscall/js"
func main() {
c := make(chan struct{}, 0)
js.Global().Set("expensiveOperation", js.FuncOf(expensiveOperation))
<-c
}
func expensiveOperation(this js.Value, args []js.Value) interface{} {
// Port your JavaScript logic here
result := compute(args[0].Int())
return result
}
|
Step 3: Gradual Migration
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3
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5
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7
8
9
|
// Keep JavaScript wrapper for compatibility
function expensiveOperation(input) {
// Try WASM first, fallback to JS
if (window.wasmModule && window.wasmModule.expensiveOperation) {
return window.wasmModule.expensiveOperation(input);
}
// Fallback to original JavaScript
return expensiveOperationJS(input);
}
|
Step 4: Test Thoroughly
- Unit tests for Go code
- Integration tests for WASM module
- Browser compatibility testing
- Performance benchmarking
16.3 Common Migration Patterns
Pattern 1: Function Replacement
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|
// Before
function processData(data) {
// JavaScript implementation
}
// After
// Go WASM function with same signature
|
Pattern 2: Class Migration
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7
8
|
// Go struct instead of JavaScript class
type DataProcessor struct {
config Config
}
func (p *DataProcessor) Process(data []byte) []byte {
// Processing logic
}
|
17. Monitoring and Observability
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|
// Track WASM performance metrics
class WASMMonitor {
constructor() {
this.metrics = {
loadTime: 0,
executionTimes: [],
memoryUsage: [],
};
}
trackLoadTime() {
const start = performance.now();
return () => {
this.metrics.loadTime = performance.now() - start;
this.reportMetrics();
};
}
trackExecution(functionName, fn) {
return (...args) => {
const start = performance.now();
const result = fn(...args);
const duration = performance.now() - start;
this.metrics.executionTimes.push({
function: functionName,
duration,
timestamp: Date.now(),
});
return result;
};
}
reportMetrics() {
// Send to analytics service
fetch('/api/metrics', {
method: 'POST',
body: JSON.stringify(this.metrics),
});
}
}
|
16.2 Error Tracking with Sentry
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package main
import (
"syscall/js"
)
func reportError(err error, context map[string]interface{}) {
js.Global().Call("Sentry", map[string]interface{}{
"captureException": err.Error(),
"setContext": context,
})
}
// Usage
func processData(data []byte) error {
if err := validate(data); err != nil {
reportError(err, map[string]interface{}{
"function": "processData",
"dataSize": len(data),
})
return err
}
return nil
}
|
16.3 Analytics Integration
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|
func trackEvent(eventName string, properties map[string]interface{}) {
js.Global().Call("analytics", map[string]interface{}{
"track": eventName,
"properties": properties,
})
}
// Usage
func processImage() {
start := time.Now()
// Process image
duration := time.Since(start)
trackEvent("image_processed", map[string]interface{}{
"duration_ms": duration.Milliseconds(),
"image_size": len(imageData), // Example: use actual image size
})
}
|
18. Cost Analysis
17.1 Development Costs
Time Investment:
- Initial setup: 2-4 hours
- Learning curve: 1-2 weeks (for Go beginners)
- Migration: 1-2 weeks (for existing code)
- Testing and optimization: 1 week
Team Requirements:
- Go developer (or learning Go)
- Frontend developer familiar with WASM
- QA for cross-browser testing
17.2 Maintenance Overhead
Ongoing Costs:
- Go version updates
- Browser compatibility testing
- Performance monitoring
- Bug fixes and optimizations
Estimated: 10-20% of initial development time per quarter
17.3 Infrastructure Costs
CDN Costs:
- WASM binary storage: ~$0.01 per GB
- Bandwidth: ~$0.05 per GB
- Example: 1MB WASM, 100K users/month = ~$5/month
Comparison:
- Server Processing: $50-500/month (depending on usage)
- WASM (Client-side): $5-20/month (CDN only)
- Savings: 70-95% reduction in server costs
| Approach |
Bundle Size |
Performance |
Cost |
| Pure JavaScript |
50 KB |
Baseline |
Low |
| Go WASM (Standard) |
2-3 MB |
2-3x faster |
Medium |
| Go WASM (TinyGo) |
200-500 KB |
2-3x faster |
Low |
| Hybrid (JS + WASM) |
300-800 KB |
1.5-2x faster |
Low |
Recommendation: Use TinyGo for production to balance size and performance.
18.1 Wasmer
Wasmer is a standalone WebAssembly runtime for server-side execution.
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# Install Wasmer
curl https://get.wasmer.io -sSfL | sh
# Run WASM module
wasmer run main.wasm
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Use Cases:
- Server-side WASM execution
- Plugin systems
- Sandboxed code execution
18.2 Wasmtime
Wasmtime is a small, fast, and secure WebAssembly runtime.
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# Install Wasmtime
curl https://wasmtime.dev/install.sh -sSf | bash
# Run WASM module
wasmtime main.wasm
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Use Cases:
- Edge computing
- Serverless functions
- Microservices
18.3 WASM Package Managers
WAPM (WebAssembly Package Manager):
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# Install WAPM
curl https://get.wapm.io/install.sh -sSfL | sh
# Install package
wapm install package-name
# Run package
wapm run package-name
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Tools:
- wasm-pack: Build and publish WASM packages
- wasm-bindgen: Generate bindings between Rust/Go and JavaScript
- wasm-opt: Optimize WASM binaries (from Binaryen)
- wasm2wat: Convert WASM to text format for debugging
20. Use Cases and Examples
11.1 Data Visualization
- Real-time chart rendering
- Large dataset processing
- Mathematical computations
11.2 Games
- 2D/3D game engines
- Physics simulations
- Game logic processing
11.3 Cryptography
- Client-side encryption
- Hash calculations
- Digital signatures
- Image filters and effects
- Audio processing
- Video encoding/decoding
21. Production Readiness Checklist
Before deploying your Go WASM application to production, ensure you’ve completed the following checklist:
Binary Optimization
- Binary size optimized (< 500KB preferred with TinyGo)
- Unused code removed with build tags
- Dead code elimination enabled (
-ldflags="-s -w")
- WASM optimized with
wasm-opt -Oz
- Compression enabled (gzip/brotli)
- Initial load time < 3 seconds
- First contentful paint < 1.5 seconds
- JavaScript-WASM boundary calls minimized
- Memory usage monitored and optimized
- Performance benchmarks completed
- Web Workers implemented for heavy tasks (if needed)
Security
- Input validation implemented
- XSS protection in place
- Content Security Policy (CSP) headers set
- CORS headers configured correctly
- Memory safety checks implemented
- Error messages don’t leak sensitive information
Infrastructure
- CDN configured for WASM files
- Correct MIME type (
application/wasm) set
- Cache headers configured (long-term caching)
- Compression enabled on server
- HTTP/2 or HTTP/3 enabled
- Monitoring and alerting set up
Testing
- Unit test coverage > 80%
- Integration tests passing
- Browser compatibility tested (Chrome, Firefox, Safari, Edge)
- Mobile browser testing completed
- Performance tests passing
- Memory leak tests completed
- Error handling tests in place
Error Handling
- Error tracking implemented (Sentry, etc.)
- WASM crashes caught and logged
- Fallback to JavaScript implemented
- User-friendly error messages
- Error recovery mechanisms in place
Documentation
- API documentation complete
- Deployment guide written
- Troubleshooting guide available
- Performance optimization guide documented
- Code comments and examples added
Monitoring
- Performance metrics tracked
- Error rates monitored
- Memory usage monitored
- Load time tracked
- User analytics integrated
- Alerts configured for critical issues
Browser Support
- Chrome 57+ tested
- Firefox 52+ tested
- Safari 11+ tested
- Edge 16+ tested
- Mobile browsers tested
- Fallback for unsupported browsers
Code Quality
- Code reviewed
- Linting passed
- No memory leaks detected
- Goroutines properly managed
- JavaScript values properly released
- Type safety enforced
Deployment
- CI/CD pipeline configured
- Automated testing in CI
- Staging environment tested
- Rollback plan prepared
- Deployment documentation complete
22. Example Projects and Resources
Open Source Go WASM Projects
To find open-source Go WASM projects and examples, search GitHub using these terms:
go wasm - General Go WASM projects
golang webassembly - Go WebAssembly applications
tinygo wasm - TinyGo WASM projects
Popular categories:
- Image processing libraries
- Game engines
- Cryptography tools
- Data visualization libraries
Learning Resources
Official Documentation:
Educational Content:
- Search YouTube for “Go WebAssembly” or “Go WASM” for video tutorials
- Tutorial content shared by the WebAssembly community
Community:
23. Conclusion: When to Use Go WASM?
Go’s WebAssembly support opens up exciting possibilities for web development. By compiling Go code to WASM, you can leverage Go’s type safety, excellent tooling, and performance characteristics in the browser. However, choosing the right technology for your project is crucial.
When Should You Use Go WASM?
โ
Use Go WASM when:
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You have existing Go codebase
- Porting desktop/server Go applications to web
- Code reuse is a priority
- Team already knows Go
-
CPU-intensive computations
- Image/video processing
- Data analysis and transformations
- Cryptographic operations
- Scientific computing
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Performance is critical
- Need 2-3x speedup over JavaScript
- Processing large datasets
- Real-time calculations
-
Type safety matters
- Complex business logic
- Financial calculations
- Data validation
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You can accept larger binary sizes
- Standard Go: 2-3 MB (acceptable for many apps)
- TinyGo: 200-500 KB (good compromise)
โ Avoid Go WASM when:
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Simple DOM manipulation
- JavaScript is simpler and faster
- No performance benefit
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Bundle size is critical
- Mobile-first applications
- Need < 100 KB bundles
- Consider Rust or pure JavaScript
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Frequent JavaScript interop
- Heavy DOM manipulation
- Tight framework integration
- JavaScript boundary overhead negates benefits
-
Rapid prototyping
- JavaScript is faster to iterate
- Go compilation adds friction
Go WASM vs Rust WASM vs JavaScript
| Criteria |
Go WASM |
Rust WASM |
JavaScript |
| Binary Size |
200KB-3MB |
50-200KB |
10-50KB |
| Performance |
2-3x JS |
3-5x JS |
Baseline |
| Learning Curve |
Medium |
Steep |
Easy |
| Tooling |
Excellent |
Good |
Excellent |
| Ecosystem |
Large |
Growing |
Huge |
| Type Safety |
Strong |
Strongest |
Weak |
| Memory Safety |
Good |
Excellent |
Good |
| Best For |
Existing Go code, balanced needs |
Maximum performance, minimal size |
Most web apps |
My Experience-Based Recommendation:
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Choose Go WASM if you’re already using Go, need good performance, and can accept 200KB+ bundles. The developer experience is excellent, and code reuse is valuable.
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Choose Rust WASM if you need maximum performance, smallest binary size, or are building performance-critical libraries. The learning curve is steeper, but the results are impressive.
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Choose JavaScript for most web applications. Modern JavaScript with V8 optimizations is fast enough for 90% of use cases. Only consider WASM when you’ve identified a real performance bottleneck.
Real-World Decision Framework
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// Decision tree
if hasExistingGoCode && needsPerformance {
return "Go WASM"
} else if needsMaxPerformance && sizeCritical {
return "Rust WASM"
} else if simpleApp || rapidPrototyping {
return "JavaScript"
} else if cpuIntensive && canAcceptSize {
return "Go WASM (TinyGo)"
} else {
return "JavaScript + Optimize"
}
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The Future of Go WASM
Go’s WebAssembly support continues to improve:
- Better optimization in TinyGo
- Smaller binary sizes
- Improved JavaScript interop
- Better debugging tools
- WASI support for server-side WASM
The ecosystem is maturing, and Go WASM is becoming a viable choice for more use cases.
Final Thoughts
Go WASM is a powerful tool in your web development arsenal. It’s not a silver bullet, but when used appropriately, it can provide significant benefits:
- Performance: 2-3x faster than JavaScript for CPU-intensive tasks
- Code Reuse: Leverage existing Go codebases
- Type Safety: Catch errors at compile time
- Developer Experience: Excellent tooling and ecosystem
However, always measure before optimizing. Many applications don’t need WASM, and JavaScript is often the pragmatic choice. Use Go WASM when you have a clear performance requirement or existing Go code to leverage.
Key Takeaways
- WebAssembly enables high-performance web applications
- Go provides excellent tooling for WASM development
- Choose the right tool for your specific needs
- Measure performance before optimizing
- Test thoroughly across different browsers and devices
Next Steps
- Start small: Build a simple Go WASM module for a specific performance-critical function
- Measure: Benchmark your use case to validate the benefits
- Optimize: Use TinyGo, wasm-opt, and best practices
- Iterate: Learn from production experience and refine your approach
Remember: The best technology choice is the one that solves your problem effectively while maintaining developer productivity and user experience.
Happy coding with Go and WebAssembly! ๐
Quick Reference
Essential Commands:
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# Build WASM
GOOS=js GOARCH=wasm go build -o main.wasm main.go
# Build with TinyGo
tinygo build -target wasm -o main.wasm main.go
# Optimize
wasm-opt -Oz main.wasm -o main.optimized.wasm
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Key Resources: