# DAG

`hyperf/dag` is a lightweight directed acyclic graph (**D**irected **A**cyclic **G**raph) task orchestration library.

## Scenes

Suppose we have a series of tasks to perform.

- If there is a dependency between them, they can be executed sequentially.
- If they do not depend on each other, then we can choose to execute concurrently to speed up the execution.
- There is also an intermediate state between the two: some tasks have dependencies, while others can be executed concurrently.

We can solve the third complex scenario by abstracting it into a `DAG`.

## Install

```bash
composer require hyperf/dag
```

## Example

[![](https://mermaid.ink/img/eyJjb2RlIjoic3RhdGVEaWFncmFtLXYyXG4gICAgWypdIC0tPiBBXG4gICAgQSAtLT4gQlxuICAgIEEgLS0-IENcbiAgICBBIC0tPiBEXG4gICAgRCAtLT4gR1xuICAgIEMgLS0-IEdcbiAgICBDIC0tPiBGXG4gICAgQiAtLT4gRlxuICAgIEIgLS0-IEVcbiAgICBCIC0tPiBIXG4gICAgSCAtLT4gSVxuICAgIEUgLS0-IElcbiAgICBGIC0tPiBJXG4gICAgRyAtLT4gSVxuICAgIEkgLS0-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)](https://mermaid-js.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoic3RhdGVEaWFncmFtLXYyXG4gICAgWypdIC0tPiBBXG4gICAgQSAtLT4gQlxuICAgIEEgLS0-IENcbiAgICBBIC0tPiBEXG4gICAgRCAtLT4gR1xuICAgIEMgLS0-IEdcbiAgICBDIC0tPiBGXG4gICAgQiAtLT4gRlxuICAgIEIgLS0-IEVcbiAgICBCIC0tPiBIXG4gICAgSCAtLT4gSVxuICAgIEUgLS0-IElcbiAgICBGIC0tPiBJXG4gICAgRyAtLT4gSVxuICAgIEkgLS0-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Suppose we have a series of tasks, the topology is as shown above, vertices represent tasks, and edges represent dependencies. (B, C, D can only be completed after A is completed, and H, E, F...) can only be completed after B is completed.

With `hyperf/dag`, `DAG` can be constructed and executed as follows.

```php
<?php
$dag = new \Hyperf\Dag\Dag();
$a = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "A\n";});
$b = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "B\n";});
$c = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "C\n";});
$d = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "D\n";});
$e = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "E\n";});
$f = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "F\n";});
$g = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "G\n";});
$h = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "H\n";});
$i = \Hyperf\Dag\Vertex::make(function() {sleep(1); echo "I\n";});
$dag->addVertex($a)
    ->addVertex($b)
    ->addVertex($c)
    ->addVertex($d)
    ->addVertex($e)
    ->addVertex($f)
    ->addVertex($g)
    ->addVertex($h)
    ->addVertex($i)
    ->addEdge($a, $b)
    ->addEdge($a, $c)
    ->addEdge($a, $d)
    ->addEdge($b, $h)
    ->addEdge($b, $e)
    ->addEdge($b, $f)
    ->addEdge($c, $f)
    ->addEdge($c, $g)
    ->addEdge($d, $g)
    ->addEdge($h, $i)
    ->addEdge($e, $i)
    ->addEdge($f, $i)
    ->addEdge($g, $i);
    
// need to be executed in a coroutine environment
$dag->run(); 

```

输出：

```php
// 1s afterwards
A
// 2s afterwards
D
C
B
// 3s afterwards
G
F
E
H
// 4s afterwards
I
```

> The DAG will schedule tasks on the earliest possible basis. Try adjusting the time at point B to 2 seconds, and you will find that B and G are completed together.

## Access previous step results

Each task can receive an array parameter containing the results of all pre-dependencies. After `DAG` is executed, it will also return an array of the same structure, including the execution result of each step.

```php
<?php
$dag = new \Hyperf\Dag\Dag();
$a = \Hyperf\Dag\Vertex::make(function() {return 1;});
$b = \Hyperf\Dag\Vertex::make(function($results) use ($a) {
    return $results[$a->key] + 1;
});
$results = $dag->addVertex($a)->addVertex($b)->addEdge($a, $b)->run();
assert($results[$a->key] === 1);
assert($results[$b->key] === 2);
```

## Define a task

In the above document, we used a closure to define a task. The format is as follows.

```php
// The second parameter of Vertex::make is an optional parameter, which is the key of vertex, that is, the key value of the result array.
\Hyperf\Dag\Vertex::make(function() { return 'hello'; }, "greeting");
```

In addition to using closure functions to define tasks, you can also use a class that implements the `\Hyperf\Dag\Runner` interface and convert it to a vertex via `Vertex::of`.

```php
class MyJob implements \Hyperf\Dag\Runner {
    public function run($results = []) {
        return 'hello';
    }
}

\Hyperf\Dag\Vertex::of(new MyJob(), "greeting");
```

`\Hyperf\Dag\Dag` itself also implements the `\Hyperf\Dag\Runner` interface, so it can be nested.

```php
<?php
// namespace omitted
$a = Vertex::make(function () { return 1;});
$b = Vertex::make(function () { return 2;});
$c = Vertex::make(function () { return 3;});

$nestedDag = new Dag();
$nestedDag->addVertex($a)->addVertex($b)->addEdge($a, $b);
$d = Vertex::of($nestedDag);

$superDag = new Dag();
$superDag->addVertex($c)->addVertex($d)->addEdge($c, $d);
$superDag->run();
```

## Control the number of concurrency
The `\Hyperf\Dag\Dag` class provides the `setConcurrency(int n)` method to control the maximum number of concurrency. Default is 10.