Dart Async Concurrency

Mastering Dart Asynchronous Programming and Concurrency

Contents

• [Event Loop and Microtask Queue](#event-loop-and-microtask-queue)
• [Creating and Chaining Futures](#creating-and-chaining-futures)
• [Using async/await](#using-async-await)
• [Working with Streams](#working-with-streams)
• [Transforming Streams](#transforming-streams)
• [Running Code in Isolates](#running-code-in-isolates)
• [Sequential vs Concurrent Execution](#sequential-vs-concurrent-execution)
• [Workflow: Building an Asynchronous Data Pipeline](#workflow-building-an-asynchronous-data-pipeline)
• [Examples](#examples)

Event Loop and Microtask Queue

Dart uses a single-threaded event loop with two queues: the event queue and the microtask queue. All Dart code runs inside an isolate, each with its own event loop. The loop processes events one at a time in the order they arrive.

// Conceptual event loop
while (eventQueue.isNotEmpty) {
  eventQueue.processNextEvent();
}

Microtasks are scheduled via scheduleMicrotask() and are executed before the next event. Future.then(), catchError(), and whenComplete() callbacks always run as microtasks. Direct Future() constructor callbacks run synchronously but the completion of a future is propagated via microtask.

Rule: Use scheduleMicrotask sparingly—prefer Future for most asynchronous work. Use microtasks only for internal housekeeping that must run before any other event.

Creating and Chaining Futures

Creating Futures

Future.value('Hello');          // completes immediately with value
Future.error(Exception('Oh'));  // completes with error
Future.delayed(Duration(seconds: 1), () => 'Later'); // completes after delay
Future(() => computeSomething());       // runs callback asynchronously

Chaining with then/catchError/whenComplete

Use then() to transform a future’s value, catchError() to handle errors, and whenComplete() for cleanup (like finally).

fetchData()
  .then((data) => parse(data))
  .catchError((e) => handleError(e), test: (e) => e is FormatException)
  .whenComplete(() => cleanUp());

Error propagation: If a then() callback throws, the returned future completes with that error — catchError() will catch it regardless of whether the error originated in the original future or in a then().

Cautious: Register error handlers early. If you delay attaching catchError(), the error might become unhandled.

Mixing sync/async errors: Wrap function bodies with Future.sync() to catch synchronous errors in the future chain.

Future safeParse(String data) {
  return Future.sync(() {
    // If this throws synchronously, the returned future captures it.
    return int.parse(data);
  });
}

Using async/await

Mark a function with async to make it return a Future. Inside, await pauses execution until the awaited future completes.

Future fetchUserOrder() async {
  final data = await fetchData();        // Suspends here, other code can run
  return 'Order: $data';
}

Error handling: Use try/catch around await expressions.

try {
  final data = await fetchData();
} catch (e) {
  print('Failed: $e');
}

Execution flow: The function runs synchronously until the first await. After that, it returns an uncompleted future and resumes when the awaited value is ready.

Linting: Enable discarded_futures and unawaited_futures to catch mistakes.

Working with Streams

Streams provide a sequence of asynchronous events. They can be single-subscription (one listener) or broadcast (many listeners).

Creating Streams

• Existing stream: map(), where(), take() etc. return a new stream.
• **async generator*: Use yield to emit values.

Stream countStream(int max) async* {
  for (var i = 1; i ();
controller.add(1);
controller.addError('something wrong');
controller.close();
final stream = controller.stream;

For broadcast: StreamController.broadcast().

Pausing/resuming: Use the controller’s onListen, onPause, onResume, onCancel callbacks to start/stop event production and avoid memory leaks.

Consuming Streams

• await for: Process each event sequentially.

await for (final value in stream) {
  print(value);
}

• listen(): Low-level control.

stream.listen(
  (data) => print(data),
  onError: (e) => print('Error: $e'),
  onDone: () => print('Done'),
  cancelOnError: true,
);

Transforming Streams

Chain transformation methods to build a data pipeline.

stream
  .where((item) => item.isValid)          // filter
  .map((item) => item.transform())        // one-to-one
  .take(10)                               // limit
  .expand((item) => [item, item+1])       // one-to-many
  .asyncExpand((id) => fetchDetails(id))  // async one-to-many
  .transform(StreamTransformer.fromHandlers( // custom transformer
    handleData: (data, sink) => sink.add(data.toUpperCase()),
  ))
  .handleError((e) => log(e))             // error filtering
  .timeout(Duration(seconds: 2));         // protect against idle streams

Key methods:

• asyncMap: like map but callback returns a Future.
• distinct: skips consecutive duplicates.
• transform: uses a StreamTransformer. Common transformers: utf8.decoder, LineSplitter.

Running Code in Isolates

Isolates enable true parallelism. Each isolate has its own memory and communicates exclusively via message passing (SendPort/ReceivePort).

Simple one-shot computation

Use Isolate.run():

int heavyComputation(int n) => n  heavyComputation(40));
  print(result);
}

For Flutter, use compute(heavyComputation, 40) – it wraps Isolate.run.

Long-lived isolates with message passing

• Spawn: Isolate.spawn(entryPoint, initialMessage)
• Setup: Main isolate creates a ReceivePort and sends its sendPort to the spawned isolate. The spawned isolate creates its own ReceivePort and sends its sendPort back.
• Communicate: Use sendPort.send(message) on either side.

See the robust ports example in the appendix for a complete, production-ready pattern including message IDs, completers, error forwarding, and port closing.

Limitations: Isolates do not share state. Objects containing native resources (e.g., Socket) cannot be sent between isolates. Use only objects that can be copied or transferred (primitives, simple objects, typed data).

Sequential vs Concurrent Execution

Sequential

// Fetch three URLs one after another
final result1 = await fetchUrl(url1);
final result2 = await fetchUrl(url2);
final result3 = await fetchUrl(url3);

Concurrent with Future.wait

// Start all fetches at once, wait for all to complete
final results = await Future.wait([
  fetchUrl(url1),
  fetchUrl(url2),
  fetchUrl(url3),
]);

Future.wait returns a list of results in the same order as the input futures. If any future fails, the returned future completes with that error (unless eagerError is set to false).

Stream concurrency

Streams are inherently sequential. To process events concurrently, use a StreamController and fire off asynchronous tasks per event, then emit results when they complete:

Stream concurrentMap(
  Stream source, Future Function(T) mapper,
) {
  final controller = StreamController();
  var pending = 0;
  controller.onListen = () {
    final subscription = source.listen((event) {
      pending++;
      mapper(event).then((result) {
        controller.add(result);
        pending--;
        if (pending == 0 && subscription.isPaused) controller.close();
      });
    }, onDone: () {
      // Wait for all pending operations
    });
  };
  return controller.stream;
}

General rule: Use Future.wait when you have a fixed set of independent futures. Use a stream with controlled concurrency when the number of tasks is large or unbounded.

---

Workflow: Building an Asynchronous Data Pipeline

Task Progress

• [ ] 1. Define requirements — Identify the data sources (APIs, files) and desired output.
• [ ] 2. Set up project — Create a Dart console app or Flutter widget.
• [ ] 3. Implement individual data fetching using async/await and error handling.
• [ ] 4. Add concurrent requests using Future.wait where appropriate.
• [ ] 5. Introduce Stream-based file processing if large files are involved.
• [ ] 6. Apply stream transformations for filtering, mapping, and error recovery.
• [ ] 7. Offload heavy parsing/decoding to an isolate using Isolate.run or compute.
• [ ] 8. Combine results and produce final output.
• [ ] 9. Write unit tests — mock HTTP/file I/O, verify error paths.
• [ ] 10. Run tests → Review output → Fix failures → Re-run

Conditional Logic

• If the task is a single HTTP request → Use await with try/catch.
• If multiple independent requests → Use Future.wait.
• If the data source is a continuous stream (e.g., WebSocket) → Use a Stream listener or await for.
• If data needs massaging → Add .map(), .where(), .transform().
• If a computation takes > 16ms (UI frame budget) → Use Isolate.run (or compute in Flutter).
• If you need ongoing communication with a worker → Set up ReceivePort/SendPort via Isolate.spawn.

Feedback Loop

1. Write code according to the selected pattern.
2. Run dart analyze to catch static issues.
3. Execute tests or the main entry point.
4. Inspect console output for unhandled errors or wrong order.
5. Add logging (print, debugPrint) to trace async execution.
6. Use unawaited_futures lint to catch missing await.
7. Profile with Dart DevTools if UI jank persists.
8. Iterate until the pipeline meets latency and correctness goals.

---

Examples

1. Future with Chain and Error Handling

import 'dart:async';

Future fetchUser(String id) =>
    Future.delayed(Duration(seconds: 1), () => 'User $id');

void main() {
  fetchUser('1')
      .then((user) => print(user))
      .catchError((e) => print('Error: $e'))
      .whenComplete(() => print('Done'));
}

2. async/await with try/catch

Future main() async {
  try {
    final user = await fetchUser('2');
    print(user);
  } catch (e) {
    print('Caught: $e');
  }
}

3. Stream with Transformer Pipeline

import 'dart:async';

Stream uppercaseLines(Stream source) {
  return source
      .transform(const LineSplitter())
      .map((line) => line.toUpperCase())
      .where((line) => line.isNotEmpty)
      .handleError((e) => print('Error: $e'));
}

4. Isolate for JSON Parsing

import 'dart:convert';
import 'dart:isolate';

Future> parseJsonInIsolate(String jsonString) =>
    Isolate.run(() => jsonDecode(jsonString) as Map);

void main() async {
  final result = await parseJsonInIsolate('{"key": "value"}');
  print(result);
}

5. Sequential vs Concurrent Fetch

// Sequential
final page1 = await fetchPage(url1);
final page2 = await fetchPage(url2);

// Concurrent
final pages = await Future.wait([fetchPage(url1), fetchPage(url2)]);

6. Robust Long-Lived Isolate (Abbreviated)

Expand to see a robust worker isolate pattern

import 'dart:async';
import 'dart:convert';
import 'dart:isolate';

class Worker {
  final SendPort _commands;
  final ReceivePort _responses;
  final Map> _activeRequests = {};
  int _idCounter = 0;
  bool _closed = false;

  Future parseJson(String message) async {
    if (_closed) throw StateError('Closed');
    final completer = Completer.sync();
    final id = _idCounter++;
    _activeRequests[id] = completer;
    _commands.send((id, message));
    return await completer.future;
  }

  static Future spawn() async {
    final initPort = RawReceivePort();
    final connection = Completer.sync();
    initPort.handler = (initialMessage) {
      final commandPort = initialMessage as SendPort;
      connection.complete((
        ReceivePort.fromRawReceivePort(initPort),
        commandPort,
      ));
    };
    try {
      await Isolate.spawn(_startRemoteIsolate, (initPort.sendPort));
    } on Object {
      initPort.close();
      rethrow;
    }
    final (ReceivePort receivePort, SendPort sendPort) =
        await connection.future;
    return Worker._(receivePort, sendPort);
  }

  Worker._(this._responses, this._commands) {
    _responses.listen(_handleResponsesFromIsolate);
  }

  void _handleResponsesFromIsolate(dynamic message) {
    final (int id, Object? response) = message as (int, Object?);
    final completer = _activeRequests.remove(id)!;
    if (response is RemoteError) {
      completer.completeError(response);
    } else {
      completer.complete(response);
    }
    if (_closed && _activeRequests.isEmpty) _responses.close();
  }

  static void _startRemoteIsolate(SendPort sendPort) {
    final receivePort = ReceivePort();
    sendPort.send(receivePort.sendPort);
    _handleCommandsToIsolate(receivePort, sendPort);
  }

  static void _handleCommandsToIsolate(
    ReceivePort receivePort,
    SendPort sendPort,
  ) {
    receivePort.listen((message) {
      if (message == 'shutdown') {
        receivePort.close();
        return;
      }
      final (int id, String jsonText) = message as (int, String);
      try {
        final jsonData = jsonDecode(jsonText);
        sendPort.send((id, jsonData));
      } catch (e) {
        sendPort.send((id, RemoteError(e.toString(), '')));
      }
    });
  }

  void close() {
    if (!_closed) {
      _closed = true;
      _commands.send('shutdown');
      if (_activeRequests.isEmpty) _responses.close();
    }
  }
}

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Python51888
• Source: Python51888/StudyDart-Skills
• License: BSD-3-Clause
• Homepage: https://zread.ai/Python51888/StudyDart-Skills

Install and usage instructions live in the source repository linked above.