Google Performance Monitoring for Firebase

pub package

A Flutter plugin to use the Google Performance Monitoring for Firebase API.

For Flutter plugins for other Firebase products, see FlutterFire.md.

Note: This plugin is still under development, and some APIs might not be available yet. Feedback and Pull Requests are most welcome!

Usage

To use this plugin, add firebase_performance as a dependency in your pubspec.yaml file. You must also configure firebase performance monitoring for each platform project: Android and iOS (see the example folder or https://codelabs.developers.google.com/codelabs/flutter-firebase/#4 for step by step details).

Define a Custom Trace

A custom trace is a report of performance data associated with some of the code in your app. To learn more about custom traces, see the Performance Monitoring overview.

Trace myTrace = FirebasePerformance.instance.newTrace("test_trace");
myTrace.start();

Item item = cache.fetch("item");
if (item != null) {
  myTrace.incrementCounter("item_cache_hit");
} else {
  myTrace.incrementCounter("item_cache_miss");
}

myTrace.stop();

Add monitoring for specific network requests

Performance Monitoring collects network requests automatically. Although this includes most network requests for your app, some might not be reported. To include specific network requests in Performance Monitoring, add the following code to your app:

class _MetricHttpClient extends BaseClient {
  _MetricHttpClient(this._inner);

  final Client _inner;

  @override
  Future<StreamedResponse> send(BaseRequest request) async {
    final HttpMetric metric = FirebasePerformance.instance
        .newHttpMetric(request.url.toString(), HttpMethod.Get);

    await metric.start();

    StreamedResponse response;
    try {
      response = await _inner.send(request);
      metric
        ..responsePayloadSize = response.contentLength
        ..responseContentType = response.headers['Content-Type']
        ..requestPayloadSize = request.contentLength
        ..httpResponseCode = response.statusCode;
    } finally {
      await metric.stop();
    }

    return response;
  }
}

class _MyAppState extends State<MyApp> {
.
.
.
  Future<void> testHttpMetric() async {
    final _MetricHttpClient metricHttpClient =
        new _MetricHttpClient(new Client());

    final Request request =
        new Request("SEND", Uri.parse("https://www.google.com"));

    metricHttpClient.send(request);
  }
.
.
.
}

Getting Started

See the example directory for a complete sample app using Google Performance Monitoring for Firebase.

Libraries

firebase_performance

Dart

dart:ui
Built-in types and core primitives for a Flutter application. [...]

Core

dart:async
Support for asynchronous programming, with classes such as Future and Stream. [...]
dart:collection
Classes and utilities that supplement the collection support in dart:core. [...]
dart:convert
Encoders and decoders for converting between different data representations, including JSON and UTF-8. [...]
dart:core
Built-in types, collections, and other core functionality for every Dart program. [...]
dart:developer
Interact with developer tools such as the debugger and inspector. [...]
dart:math
Mathematical constants and functions, plus a random number generator. [...]
dart:typed_data
Lists that efficiently handle fixed sized data (for example, unsigned 8 byte integers) and SIMD numeric types. [...]

VM

dart:io
File, socket, HTTP, and other I/O support for non-web applications. [...]
dart:isolate
Concurrent programming using isolates: independent workers that are similar to threads but don't share memory, communicating only via messages. [...]