platform/README.md

198 lines
5.9 KiB
Markdown
Raw Normal View History

2017-06-17 16:45:31 +00:00
# orm
[![Pub](https://img.shields.io/pub/v/angel_orm.svg)](https://pub.dartlang.org/packages/angel_orm)
[![build status](https://travis-ci.org/angel-dart/orm.svg)](https://travis-ci.org/angel-dart/orm)
2017-07-09 16:53:35 +00:00
Source-generated PostgreSQL ORM for use with the
[Angel framework](https://angel-dart.github.io).
Now you can combine the power and flexibility of Angel with a strongly-typed ORM.
2017-06-17 16:45:31 +00:00
2017-07-10 21:49:00 +00:00
* [Usage](#usage)
* [Model Definitions](#models)
* [MVC Example](#example)
* [Relationships](#relations)
2017-09-15 19:41:30 +00:00
* [Columns (`@Column(...)`)](#columns)
* [Column Types](#column-types)
* [Indices](#indices)
* [Default Values](#default-values)
2017-07-10 21:49:00 +00:00
# Usage
You'll need these dependencies in your `pubspec.yaml`:
```yaml
dependencies:
angel_orm: ^1.0.0-alpha
dev_dependencies:
angel_orm_generator: ^1.0.0-alpha
2017-09-15 19:41:41 +00:00
build_runner: ^0.5.0
2017-07-10 21:49:00 +00:00
```
2017-11-18 20:12:30 +00:00
`package:angel_orm_generator` exports three classes that you can include
2017-07-10 21:49:00 +00:00
in a `package:build` flow:
2017-09-15 19:23:36 +00:00
* `PostgresOrmGenerator` - Fueled by `package:source_gen`; include this within a `LibraryBuilder`.
2017-11-18 20:12:30 +00:00
* `MigrationGenerator` - Builds a [`package:angel_migration`](https://github.com/angel-dart/migration) migration for your models automatically.
2017-09-15 19:23:36 +00:00
* `SqlMigrationBuilder` - This is its own `Builder`; it generates a SQL schema, as well as a SQL script to drop a generated table.
2017-07-10 21:49:00 +00:00
2017-09-15 19:23:36 +00:00
You should pass an `List<String>` containing your project's models.
2017-06-17 16:53:32 +00:00
2017-07-09 16:53:35 +00:00
# Models
2017-06-17 16:51:01 +00:00
Your model, courtesy of `package:angel_serialize`:
2017-06-17 16:45:31 +00:00
```dart
library angel_orm.test.models.car;
import 'package:angel_framework/common.dart';
2017-06-18 04:19:05 +00:00
import 'package:angel_orm/angel_orm.dart';
2017-06-17 16:45:31 +00:00
import 'package:angel_serialize/angel_serialize.dart';
part 'car.g.dart';
@serializable
2017-06-18 04:19:05 +00:00
@orm
2017-06-17 16:45:31 +00:00
class _Car extends Model {
2017-06-18 04:19:05 +00:00
String make;
String description;
bool familyFriendly;
DateTime recalledAt;
2017-06-17 16:45:31 +00:00
}
```
2017-07-09 16:53:35 +00:00
Models can use the `@Alias()` annotation; `package:angel_orm` obeys it.
2017-06-18 04:19:05 +00:00
After building, you'll have access to a `Query` class with strongly-typed methods that
2017-06-17 16:45:31 +00:00
allow to run asynchronous queries without a headache.
2017-07-09 16:53:35 +00:00
2017-07-10 21:49:00 +00:00
**IMPORTANT:** The ORM *assumes* that you are using `package:angel_serialize`, and will only generate code
designed for such a workflow. Save yourself a headache and build models with `angel_serialize`:
https://github.com/angel-dart/serialize
# Example
2017-07-09 16:53:35 +00:00
MVC just got a whole lot easier:
2017-06-17 16:45:31 +00:00
```dart
import 'package:angel_framework/angel_framework.dart';
import 'package:postgres/postgres.dart';
import 'car.dart';
import 'car.orm.g.dart';
/// Returns an Angel plug-in that connects to a PostgreSQL database, and sets up a controller connected to it...
2017-06-17 16:48:18 +00:00
AngelConfigurer connectToCarsTable(PostgreSQLConnection connection) {
2017-06-17 16:45:31 +00:00
return (Angel app) async {
2017-06-18 04:19:05 +00:00
// Register the connection with Angel's dependency injection system.
2017-06-17 16:45:31 +00:00
//
// This means that we can use it as a parameter in routes and controllers.
2017-06-18 04:19:05 +00:00
app.container.singleton(connection);
2017-06-17 16:45:31 +00:00
// Attach the controller we create below
2017-07-15 15:20:47 +00:00
await app.configure(new CarController(connection));
2017-06-17 16:45:31 +00:00
};
}
@Expose('/cars')
2017-07-15 15:20:47 +00:00
class CarController extends Controller {
2017-06-18 04:19:05 +00:00
// The `connection` will be injected.
@Expose('/recalled_since_2008')
carsRecalledSince2008(PostgreSQLConnection connection) {
// Instantiate a Car query, which is auto-generated. This class helps us build fluent queries easily.
2017-07-15 15:21:18 +00:00
var cars = new CarQuery();
2017-06-18 04:19:05 +00:00
cars.where
..familyFriendly.equals(false)
..recalledAt.year.greaterThanOrEqualTo(2008);
// Shorter syntax we could use instead...
cars.where.recalledAt.year <= 2008;
// `get()` returns a Stream.
// `get().toList()` returns a Future.
2017-07-15 15:21:18 +00:00
return cars.get(connection).toList();
2017-06-17 16:45:31 +00:00
}
2017-06-18 04:19:05 +00:00
@Expose('/create', method: 'POST')
createCar(PostgreSQLConnection connection) async {
// `package:angel_orm` generates a strongly-typed `insert` function on the query class.
// Say goodbye to typos!!!
var car = await CarQuery.insert(connection, familyFriendly: true, make: 'Honda');
// Auto-serialized using code generated by `package:angel_serialize`
return car;
}
}
```
# Relations
2017-09-15 19:41:30 +00:00
`angel_orm` supports the following relationships:
2017-06-18 04:19:05 +00:00
* `@HasOne()`
* `@HasMany()`
2017-09-15 19:41:30 +00:00
* `@BelongsTo()` (one-to-one)
The annotations can be abbreviated with the default options (ex. `@hasOne`), or supplied
with custom parameters (ex. `@HasOne(foreignKey: 'foreign_id')`).
2017-06-18 04:19:05 +00:00
```dart
@serializable
@orm
abstract class _Author extends Model {
@hasMany // Use the defaults, and auto-compute `foreignKey`
List<Book> books;
// Also supports parameters...
@HasMany(localKey: 'id', foreignKey: 'author_id', cascadeOnDelete: true)
List<Book> books;
@Alias('writing_utensil')
@hasOne
Pen pen;
2017-06-17 16:45:31 +00:00
}
2017-09-15 19:41:30 +00:00
```
The relationships will "just work" out-of-the-box, following any operation. For example,
after fetching an `Author` from the database in the above example, the `books` field would
be populated with a set of deserialized `Book` objects, also fetched from the database.
Relationships use joins when possible, but in the case of `@HasMany()`, two queries are used:
* One to fetch the object itself
* One to fetch a list of related objects
# Columns
Use a `@Column()` annotation to change how a given field is handled within the ORM.
## Column Types
Using the `@Column()` annotation, it is possible to explicitly declare the data type of any given field:
```dart
@serializable
@orm
abstract class _Foo extends Model {
@Column(type: ColumnType.BIG_INT)
int bar;
}
```
## Indices
Columns can also have an `index`:
```dart
@serializable
@orm
abstract class _Foo extends Model {
@Column(index: IndexType.PRIMARY)
String bar;
}
```
## Default Values
It is also possible to specify the default value of a field.
**Note that this only works with primitive objects.**
If a default value is supplied, the `SqlMigrationBuilder` will include
it in the generated schema. The `PostgresOrmGenerator` ignores default values;
it does not need them to function properly.
```dart
@serializable
@orm
abstract class _Foo extends Model {
@Column(defaultValue: 'baz')
String bar;
}
2017-06-17 16:45:31 +00:00
```