skills/fwrite0920/android-skills/Deep Performance Tuning

Deep Performance Tuning

SKILL.md

Deep Performance Tuning (深度性能优化)

Instructions

  • 仅在有量测数据或明确瓶颈时使用
  • 先填写 Required Inputs(基线、设备、阈值)并冻结
  • 依照下方章节顺序套用
  • 一次只施作一种优化并验证效果
  • 完成后对照 Quick Checklist

When to Use

  • Scenario D:性能问题排查
  • Scenario E:发布前性能验证

Example Prompts

  • "请参考 App Startup Optimization,创建 Macrobenchmark 测量"
  • "用 Memory Analysis 章节,规划内存分析流程"
  • "请依照 R8/Proguard Optimization,检查规则是否完整"

Workflow

  1. 先确认 Required Inputs(量测设备、指标阈值、回归标准)
  2. 创建量测基准(Startup/Memory/UI)
  3. 逐一套用对应优化手段(一次一项)
  4. 执行 Performance Gate 并记录前后对比
  5. 用 Quick Checklist 验收

Practical Notes (2026)

  • Baseline Profile + Macrobenchmark 作为默认流程
  • 每次只做一项优化并量测差异
  • 性能门槛要进 CI Gate
  • 量测环境必须固定(机型/API/温度状态)避免伪回归
  • 无数据不优化,先采集再改动

Minimal Template

目标: 
量测基准: 
量测设备/环境:
性能阈值:
优化范围: 
回归指标: 
验收: Quick Checklist

Required Inputs (执行前输入)

  • 量测设备(机型/API/系统版本)
  • 性能阈值(startup/jank/memory/apk size)
  • 测试场景(冷启动、列表滚动、关键交易)
  • 回归标准(允许波动范围)
  • 责任人(性能优化 owner)

Deliverables (完成后交付物)

  • Benchmark 配置与基线数据
  • 优化变更 与前后指标对比
  • CI performance gate(阻挡规则)
  • 回归报告(失败原因与处置)

Performance Gate (验收门槛)

./gradlew :benchmark:connectedBenchmarkAndroidTest
./gradlew test

需要在 PR 中附上优化前后数据与采样条件。


App Startup Optimization

Macrobenchmark 测量

@LargeTest
@RunWith(AndroidJUnit4::class)
class StartupBenchmark {
    
    @get:Rule
    val benchmarkRule = MacrobenchmarkRule()
    
    @Test
    fun startupCompilationNone() = startup(CompilationMode.None())
    
    @Test
    fun startupCompilationPartial() = startup(CompilationMode.Partial())
    
    private fun startup(compilationMode: CompilationMode) {
        benchmarkRule.measureRepeated(
            packageName = "com.example.app",
            metrics = listOf(StartupTimingMetric()),
            compilationMode = compilationMode,
            iterations = 5,
            startupMode = StartupMode.COLD
        ) {
            pressHome()
            startActivityAndWait()
        }
    }
}

Baseline Profiles

// 生成 Baseline Profile
@RunWith(AndroidJUnit4::class)
class BaselineProfileGenerator {
    
    @get:Rule
    val rule = BaselineProfileRule()
    
    @Test
    fun generate() {
        rule.collect("com.example.app") {
            pressHome()
            startActivityAndWait()
            
            // 关键路径
            device.findObject(By.text("Login")).click()
            device.wait(Until.hasObject(By.text("Home")), 5000)
        }
    }
}

Application onCreate 优化

class MyApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        
        // ❌ 同步初始化 (Block UI)
        // Firebase.initialize(this)
        // Timber.plant(DebugTree())
        
        // ✅ 延迟初始化
        AppInitializer.getInstance(this)
            .initializeComponent(FirebaseInitializer::class.java)
        
        // ✅ 背景初始化
        ProcessLifecycleOwner.get().lifecycle.addObserver(
            object : DefaultLifecycleObserver {
                override fun onCreate(owner: LifecycleOwner) {
                    owner.lifecycleScope.launch(Dispatchers.Default) {
                        // 非关键初始化
                    }
                }
            }
        )
    }
}

Memory Analysis

Heap Dump 分析

# 取得 Heap Dump
adb shell am dumpheap com.example.app /data/local/tmp/heap.hprof
adb pull /data/local/tmp/heap.hprof

# 使用 Android Studio Profiler 分析
# 或使用 MAT (Memory Analyzer Tool)

LeakCanary 设置

// build.gradle.kts
debugImplementation("com.squareup.leakcanary:leakcanary-android:2.12")

// 自定义报告
class MyApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        LeakCanary.config = LeakCanary.config.copy(
            retainedVisibleThreshold = 3,
            objectInspectors = AndroidObjectInspectors.appDefaults
        )
    }
}

Bitmap 内存管理

// 使用 Coil 自动管理
AsyncImage(
    model = ImageRequest.Builder(LocalContext.current)
        .data(imageUrl)
        .size(Size.ORIGINAL)  // 根据需求调整
        .memoryCachePolicy(CachePolicy.ENABLED)
        .build(),
    contentDescription = null
)

R8/Proguard Optimization

自定义规则

# 保留 Serializable
-keepclassmembers class * implements java.io.Serializable {
    static final long serialVersionUID;
    private static final java.io.ObjectStreamField[] serialPersistentFields;
    !static !transient <fields>;
    private void writeObject(java.io.ObjectOutputStream);
    private void readObject(java.io.ObjectInputStream);
}

# 保留 Retrofit Interface
-keep,allowobfuscation interface * {
    @retrofit2.http.* <methods>;
}

# 保留 Compose stability
-keep class * {
    @androidx.compose.runtime.Stable *;
    @androidx.compose.runtime.Immutable *;
}

APK Size 分析

# 使用 bundletool
bundletool build-apks --bundle=app.aab --output=app.apks
bundletool get-size total --apks=app.apks

# Android Studio: Build > Analyze APK

UI Performance

JankStats

class MainActivity : ComponentActivity() {
    private lateinit var jankStats: JankStats
    
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        
        jankStats = JankStats.createAndTrack(window) { frameData ->
            if (frameData.isJank) {
                Log.w("Jank", "Frame took ${frameData.frameDurationUiNanos / 1_000_000}ms")
            }
        }
    }
}

Compose Recomposition Tracking

// 打开 Composition Tracking
@Composable
fun DebugComposable() {
    SideEffect {
        Log.d("Recomposition", "DebugComposable recomposed")
    }
}

// 使用 Layout Inspector 检查 recomposition count

Quick Checklist

  • Required Inputs 已填写并冻结(设备/阈值/回归标准)
  • Startup: Baseline Profiles 生成
  • Startup: Application onCreate 延迟初始化
  • Memory: LeakCanary 无泄漏
  • APK: R8 规则完善
  • UI: JankStats 无严重掉帧
  • Performance Gate 已执行并记录结果
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First Seen
Jan 1, 1970