How to optimize Tauri application performance

Optimizing Tauri application performance can be approached from multiple aspects:

1. Reduce Package Size

Frontend Optimization

• Use Tree Shaking to remove unused code
• Minify and obfuscate JavaScript code
• Optimize image resources (use WebP format, compression)
• Lazy load third-party libraries

Rust Optimization

toml
# Cargo.toml
[profile.release]
opt-level = "z"     # Optimize for size
lto = true          # Link-time optimization
codegen-units = 1   # Reduce code generation units
strip = true        # Remove symbol table

2. Optimize Startup Speed

Lazy Loading

typescript
// Lazy load large modules
const heavyModule = await import('./heavy-module');

Reduce Initial Rendering

• Use virtual lists for long lists
• Lazy load components and routes
• Pre-render critical content

3. IPC Communication Optimization

Batch Process Requests

rust
// Rust side
#[tauri::command]
async fn batch_process(items: Vec<String>) -> Vec<Result> {
    // Batch process instead of individual processing
}

Use Binary Data

typescript
// For large amounts of data, use Uint8Array instead of JSON
const data = new Uint8Array(await invoke('get_binary_data'));

Reduce Communication Frequency

• Use debounce and throttle
• Cache commonly used data locally
• Use event pushing instead of polling

4. WebView Optimization

Disable Unnecessary Features

json
{
  "tauri": {
    "webview": {
      "transparent": false,
      "dragDropEnabled": false
    }
  }
}

Optimize CSS and JavaScript

• Use CSS containment
• Reduce DOM operations
• Use Web Workers for compute-intensive tasks

5. Memory Management

Frontend Memory Optimization

typescript
// Clean up listeners in time
const unlisten = await listen('event', handler);
// Cancel listener after use
unlisten();

Rust Memory Optimization

rust
// Use Arc to share data
use std::sync::Arc;
let shared_data = Arc::new(data);

// Avoid unnecessary cloning

6. Build Optimization

bash
# Use parallel build
cargo build --release -j $(nproc)

# Use incremental compilation
export CARGO_INCREMENTAL=1

7. Monitoring and Analysis

Use Performance Analysis Tools

typescript
import { invoke } from '@tauri-apps/api/tauri';

// Monitor IPC call time
const start = performance.now();
await invoke('command');
console.log(`IPC took ${performance.now() - start}ms`);

Rust Performance Analysis

bash
# Use flamegraph
cargo install flamegraph
cargo flamegraph

Best Practices

1. Regularly analyze performance using Chrome DevTools
2. Monitor memory usage, avoid memory leaks
3. Use Web Workers for CPU-intensive tasks
4. Use caching strategies appropriately
5. Keep dependencies updated to the latest stable versions