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docs: edit DART_TOOLS.md 

Add more info about reflector, and copyedit other sections.

Closes #4422
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Kathy Walrath 2015-09-29 17:54:32 -07:00 committed by Misko Hevery
parent a31b2175dc
commit cd219b92a2
1 changed files with 86 additions and 34 deletions
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TOOLS_DART.md
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@ -38,8 +38,6 @@ In the browser, open the dev console. The top-level object is called `ng` and
contains more specific tools inside it. contains more specific tools inside it.
For example, to run the change detection profiler on your app: For example, to run the change detection profiler on your app:
<!-- QUESTION: is "on your app" accurate?
is "run the change detection profiler on your app" the best wording? -->
```javascript ```javascript
// In the dev console: // In the dev console:
@ -68,7 +66,7 @@ Options for investigating code size include the `--dump-info` dart2js option,
ng2soyc, `reflector.trackUsage()`, and code coverage information ng2soyc, `reflector.trackUsage()`, and code coverage information
from the Dart VM. from the Dart VM.
#### --dump-info #### Use --dump-info
The `--dump-info` option of `dart2js` outputs information about what happened The `--dump-info` option of `dart2js` outputs information about what happened
during compilation. You can specify `--dump-info` in `pubspec.yaml`: during compilation. You can specify `--dump-info` in `pubspec.yaml`:
@ -86,7 +84,7 @@ can help you analyze the output.
For more information, see the For more information, see the
[dart2js_info API reference](http://dart-lang.github.io/dart2js_info/doc/api/). [dart2js_info API reference](http://dart-lang.github.io/dart2js_info/doc/api/).
#### ng2soyc.dart #### Use ng2soyc.dart
[ng2soyc](https://github.com/angular/ng2soyc.dart) is a utility for analyzing [ng2soyc](https://github.com/angular/ng2soyc.dart) is a utility for analyzing
code size contributors in Angular 2 applications. It groups code size by code size contributors in Angular 2 applications. It groups code size by
@ -97,17 +95,61 @@ each level. To reduce noise in the output of very large apps, ng2soyc provides
an option to hide libraries that are too small, so you can focus on the biggest an option to hide libraries that are too small, so you can focus on the biggest
contributors. contributors.
#### Track unused reflection data #### Find unused reflection data
<!-- QUESTION: How do you get access to reflector & ReflectionInfo? --> Your app might have types that are annotated with `@Component` or `@Injectable`
but never used.
To find these unused types, use `reflector.trackUsage()` and then,
after exercising your app, `reflector.listUnusedKeys()`.
For example:
Call `reflector.trackUsage()` to track reflection information used ```
by the application. Reflection information (`ReflectionInfo`) is a data import 'package:angular2/src/core/reflection/reflection.dart';
structure that stores information about your application that Angular uses for ...
locating DI factories, generated change detectors and other code related to a main() async {
given type. After exercising your application, call `reflector.listUnusedKeys()` reflector.trackUsage();
to get a list of types and functions whose reflection information was retained await bootstrap(AppComponent);
but never used by the application. print('Unused keys: ${reflector.listUnusedKeys()}');
}
```
When you run that code (in Dartium or another browser),
you'll see a list of types that Angular _can_ inject but hasn't needed to.
Consider removing those types or their `@Component`/`@Injectable` annotation
to decrease your app's code size.
Three conditions must be true for `listUnusedKeys()` to return helpful data:
1. The angular2 transformer must run on the app.
2. If you're running a JavaScript version of the app,
the app must not be minified, so that the names are readable.
3. You must exercise your app in as many ways as possible
before calling `listUnusedKeys()`.
Otherwise, you might get false positives:
keys that haven't been used only because you didn't exercise
the relevant feature of the app.
To run the angular2 transformer, first specify it in `pubspec.yaml`:
```
name: hello_world
...
transformers:
- angular2:
entry_points: web/main.dart
```
Then use pub to run the transformer. If you use `pub serve`,
it provides both Dart and unminified (by default) JavaScript versions.
If you want to serve actual files, then use `pub build` in debug mode
to generate Dart and unminified JavaScript files:
`pub build --mode=debug`.
The `reflector.trackUsage()` method makes Angular track the reflection
information used by the app. Reflection information (`ReflectionInfo`) is a data
structure that stores information that Angular uses for locating DI factories
and for generating change detectors and other code related to a
given type.
#### Use code coverage to find dead code #### Use code coverage to find dead code
@ -216,34 +258,45 @@ transformers:
### Change detection profiler ### Change detection profiler
If your application is janky (it misses frames) or is slow according to other If your application is janky (it misses frames) or is slow according to other
metrics it is important to find the root cause of the issue. Change detection metrics, you need to find out why. This tool helps by measuring the average
is a phase in Angular's lifecycle that detects changes in values that are speed of _change detection_, a phase in Angular's
bound to UI, and if it finds a change it performs the corresponding UI update. lifecycle that detects changes in values that are bound to the UI.
However, sometimes it is hard to tell if the slowness is due to the act of Janky UI updates can result from slowness either in _computing_ the changes or
computing the changes being slow, or due to the act of applying those changes in _applying_ those changes to the UI.
to the UI. For your application to be performant it is important that the
process of computing changes is very fast. For best results it should be under
3 milliseconds in order to leave room for the application logic, the UI updates
and browser's rendering pipeline to fit withing the 16 millisecond frame
(assuming the 60 FPS target frame rate).
Change detection profiler repeatedly performs change detection without invoking For your app to be performant, the process of _computing_ changes must be very
any user actions, such as clicking buttons or entering text in input fields. It fast—preferably **under 3 milliseconds**.
then computes the average amount of time it took to perform a single cycle of Fast change computation leaves room for
change detection in milliseconds and prints it to the console. This number the application logic, UI updates, and browser rendering pipeline
depends on the current state of the UI. You are likely to see different numbers to fit within a 16 ms frame (assuming a target frame rate of 60 FPS).
The change detection profiler repeatedly performs change detection
without invoking any user actions, such as clicking buttons or entering
text in input fields. It then computes the average amount of time
(in milliseconds) to perform a single cycle of change detection and
prints that to the console. This number depends on the current state of the UI. You are likely to see different numbers
as you go from one screen in your application to another. as you go from one screen in your application to another.
#### Running the profiler #### Running the profiler
Enable the debugging tools (see above), Before running the profiler, enable the debugging tools
then in the dev console enter the following: and put the app into the state you want to measure:
1. If you haven't already done so,
[enable the debugging tools](#enabling-the-debugging-tools).
2. Navigate the app to a screen whose performance you want to profile.
3. Make sure the screen is in a state that you want to measure.
For example, you might want to profile the screen several times,
with different amounts and kinds of data.
To run the profiler, enter the following in the dev console:
```javascript ```javascript
ng.profiler.timeChangeDetection(); ng.profiler.timeChangeDetection();
``` ```
The results are printed to the console. The results are visible in the console.
#### Recording CPU profiles #### Recording CPU profiles
@ -257,6 +310,7 @@ Then open the **Profiles** tab. The recorded profile has the title
**Change Detection**. In Chrome, if you record the profile repeatedly, all the **Change Detection**. In Chrome, if you record the profile repeatedly, all the
profiles are nested under Change Detection. profiles are nested under Change Detection.
#### Interpreting the numbers #### Interpreting the numbers
In a properly designed application, repeated attempts to detect changes without In a properly designed application, repeated attempts to detect changes without
@ -264,9 +318,7 @@ any user actions result in no changes to the UI. It is
also desirable to have the cost of a user action be proportional to the amount also desirable to have the cost of a user action be proportional to the amount
of UI changes required. For example, popping up a menu with 5 items should be of UI changes required. For example, popping up a menu with 5 items should be
vastly faster than rendering a table of 500 rows and 10 columns. Therefore, vastly faster than rendering a table of 500 rows and 10 columns. Therefore,
change detection with no UI updates should be as fast as possible. Ideally the change detection with no UI updates should be as fast as possible.
number printed by the profiler should be well below the length of a single
animation frame (16ms). A good rule of thumb is to keep it under 3ms.
#### Investigating slow change detection #### Investigating slow change detection