Flutter Mobile Development · 강의

DevTools 타임라인으로 버벅거림 프로파일링

프레임 차트를 캡처하고 DevTools에서 비용이 큰 빌드 및 래스터화 단계를 식별합니다.

DevTools 타임라인으로 버벅거림 프로파일링은(는) CoddyKit의 무료 Flutter Mobile Development 강의입니다. 이것은 4개 중 2번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Flutter Mobile Development 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Flutter Mobile Development 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

What 'Jank' Actually Means

Jank is any visible stutter caused by Flutter missing a frame deadline. On a 60Hz display the engine has roughly 16.7ms per frame; on 120Hz devices only 8.3ms.

If the UI thread or the raster thread runs over budget, the frame is dropped and the user sees a hitch.
Profiling jank means finding which frames are slow and which phase (build/layout/paint vs. rasterization) ate the time.

The DevTools Performance view (the Timeline) is the primary tool for this investigation.

Always Profile in Profile Mode

Never trust timings from a debug build. Debug mode disables JIT optimizations, asserts run, and the Dart VM is slower, so numbers are meaningless.

Run with flutter run --profile on a real device, not a simulator.
Profile mode keeps service extensions (so DevTools works) but uses AOT-compiled, release-grade code.
Simulators use your Mac's CPU/GPU and hide real raster cost.

// Launch the app in profile mode from the terminal:
//   flutter run --profile -d <deviceId>
//
// List attached physical devices first:
//   flutter devices
//
// Then open DevTools at the printed URL and select the
// Performance tab to capture the timeline.
void main() {
  // The flag matters: assert() bodies are stripped in profile/release.
  bool inDebug = false;
  assert(() {
    inDebug = true;
    return true;
  }());
  print(inDebug ? 'debug build' : 'profile/release build');
}

The Two Threads Behind Every Frame

Each frame is produced by two cooperating threads, and the Timeline shows both as separate tracks:

UI thread (Dart): runs your build(), layout, and paint phases, then records a list of drawing commands.
Raster thread (formerly 'GPU thread'): takes those commands and turns them into actual pixels via Skia/Impeller.

A frame is only smooth if both tracks finish inside the budget. A bar over budget on either track is a dropped frame.

Reading the Frame Chart

The Frames chart at the top of the Performance view shows one bar per rendered frame.

Each bar is split into a blue UI portion and a teal Raster portion.
The horizontal line marks your target budget (16.7ms or 8.3ms).
Bars that cross the line are highlighted; tap one to load its detailed timeline events below.

Color tells you the culprit immediately: tall blue = expensive build/layout; tall teal = expensive rasterization (shaders, large images, clips).

Drilling Into the Timeline Events

Selecting a janky frame populates the Timeline Events flame chart. On the UI track you will typically see this nesting:

Frame → Animate → Build → Layout → Paint

The widest box is your hotspot. A wide Build box usually means too much work in build(); a wide Layout means expensive constraint resolution (deep trees, intrinsic sizing).

On the Raster track look for PipelineConsume and GPU rasterization spans.

A Classic Cause of Wide Build Bars

Rebuilding a large subtree on every animation tick is the most common build-phase jank. Here a whole list rebuilds because the parent's setState is called 60 times a second.

The fix is to push state down or use const constructors so subtrees are skipped.
In the Timeline you would see a wide Build box shrink dramatically after the fix.

// ANTI-PATTERN: every tick rebuilds the entire list.
class _BadClock extends State<BadClock>
    with SingleTickerProviderStateMixin {
  late final AnimationController _c =
      AnimationController(vsync: this, duration: const Duration(seconds: 1))
        ..repeat();

  @override
  Widget build(BuildContext context) {
    return AnimatedBuilder(
      animation: _c,
      builder: (_, __) {
        // BAD: builds 1000 rows on every frame.
        return ListView(children: [
          for (var i = 0; i < 1000; i++) ExpensiveRow(i),
        ]);
      },
    );
  }
}

Isolate Work With const and Subtree Rebuilds

The corrected version restricts the rebuild to only the part that animates. Everything else is const and is skipped by the framework's element diffing.

Pass static children through the child: parameter of AnimatedBuilder so they are built once.
After this change the Build box in the Timeline becomes a thin sliver.

// FIXED: only the rotating widget rebuilds each tick.
Widget build(BuildContext context) {
  return AnimatedBuilder(
    animation: _c,
    // Built once, reused every frame.
    child: const _StaticList(),
    builder: (context, child) {
      return RotationTransition(
        turns: _c,
        child: child, // const subtree, not rebuilt
      );
    },
  );
}

Diagnosing Raster-Thread Jank

When the teal Raster portion is the tall one, the UI thread is fine but the GPU is struggling to paint. Common causes:

saveLayer calls from opacity, clips, or blend modes over large areas.
Expensive shader compilation on first use (shader jank), visible as a one-off spike.
Large, unscaled images decoded at full resolution.

DevTools offers debugging toggles to confirm these: enable Track Widget Rebuilds, Highlight Repaints, and Render Layer Borders from the Performance view.

Programmatic saveLayer Hotspots

A wrapping Opacity widget forces a saveLayer, which is one of the most expensive raster operations. Prefer cheaper alternatives:

For a single image, use the opacity parameter of Image or an AnimatedOpacity only when needed.
For solid colors, bake the alpha into the Color instead of wrapping in Opacity.

// EXPENSIVE: Opacity triggers saveLayer on the raster thread.
Widget bad() => Opacity(
      opacity: 0.5,
      child: Container(color: Colors.blue, width: 300, height: 300),
    );

// CHEAP: fold the alpha straight into the color, no saveLayer.
Widget good() => Container(
      color: Colors.blue.withOpacity(0.5),
      width: 300,
      height: 300,
    );

Adding Your Own Timeline Markers

To attribute time to your code rather than framework internals, wrap suspicious sections in Timeline.timeSync from dart:developer. These appear as named spans in the DevTools Timeline.

Markers are no-ops in release mode, so they are safe to leave in.
Use them to confirm whether a slow frame is your parsing/computation versus Flutter's layout.

import 'dart:developer';

List<int> parsePayload(List<int> raw) {
  // This named span shows up on the UI track in DevTools.
  return Timeline.timeSync('parsePayload', () {
    final out = <int>[];
    for (final b in raw) {
      out.add(b * 2 + 1);
    }
    return out;
  });
}

void main() {
  final result = parsePayload(List<int>.generate(8, (i) => i));
  print(result);
}

A Repeatable Profiling Workflow

Turn ad-hoc poking into a method you can repeat for every regression:

1. Run in --profile on a representative physical device.
2. Reproduce the janky interaction while recording the Frames chart.
3. Tap the tallest over-budget bar; note whether it is blue (UI) or teal (Raster).
4. Open Timeline Events, find the widest box, and read its name.
5. Apply a targeted fix (const subtree, remove saveLayer, precache, etc.), then re-record and compare.

You can also compute the budget yourself from the display refresh rate to know exactly which bars are over the line.

// Frame budget in milliseconds for a given refresh rate.
double frameBudgetMs(int refreshHz) => 1000 / refreshHz;

bool isJanky(double frameMs, int refreshHz) =>
    frameMs > frameBudgetMs(refreshHz);

void main() {
  for (final hz in [60, 90, 120]) {
    final budget = frameBudgetMs(hz);
    print('${hz}Hz budget = ${budget.toStringAsFixed(2)}ms');
  }
  // A 19ms frame is fine at 60Hz? No - it's over the 16.67ms budget.
  print('19ms @60Hz janky: ${isJanky(19, 60)}');
}

Quick Check: Diagnosing the Bar

You record a scroll and see frames where the teal raster portion is well over the budget line while the blue UI portion stays tiny. What is the most likely cause and first fix?

Recap

You learned how to profile jank with the DevTools Timeline:

Jank is a missed frame deadline (16.7ms at 60Hz, 8.3ms at 120Hz); always measure in profile mode on a real device.
Every frame has a UI thread (build/layout/paint) and a Raster thread (pixels). The Frames chart colors them blue and teal.
Tall blue = expensive build/layout, fixed by const subtrees and narrower rebuilds. Tall teal = costly rasterization, fixed by removing saveLayer and shrinking images.
Drill into Timeline Events to find the widest box, and add Timeline.timeSync markers to attribute time to your own code.
Follow a repeatable record → identify thread → find widest box → fix → re-measure loop.

자주 묻는 질문

“DevTools 타임라인으로 버벅거림 프로파일링” 강의는 무료인가요?

네 — “DevTools 타임라인으로 버벅거림 프로파일링” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Flutter Mobile Development 강의 전체를 잠금 해제할 수 있습니다. Flutter Mobile Development 강의에는 총 4개의 강의가 포함되어 있습니다.

“DevTools 타임라인으로 버벅거림 프로파일링”에서 뭘 배우나요?

프레임 차트를 캡처하고 DevTools에서 비용이 큰 빌드 및 래스터화 단계를 식별합니다. 브라우저에서 직접 실행하는 실습 코드로 Flutter Mobile Development을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Flutter Mobile Development을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Flutter Mobile Development은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 2번째 강의입니다.

“DevTools 타임라인으로 버벅거림 프로파일링” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Flutter Mobile Development 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Flutter Mobile Development 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

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