Tag: GraphQL

要在 Go 語言寫 graphQL，大家一定對 graphql-go 不陌生，討論度最高的套件，但是我先說，雖然討論度是最高，但是效能是最差的，如果大家很要求效能，可以先參考此專案，裡面有目前 Go 語言的 graphQL 套件比較效能，有機會在寫另外一篇介紹。最近 graphql-go 的作者把 Concurrent Resolvers 的解法寫了一篇 Issue 來討論，最終採用了 Resolver returns a Thunk 方式來解決 Concurrent 問題，這個 PR 沒有用到額外的 goroutines，使用方式也最簡單

"pullRequests": &graphql.Field{
    Type: graphql.NewList(PullRequestType),
    Resolve: func(p graphql.ResolveParams) (interface{}, error) {
        ch := make(chan []PullRequest)
        // Concurrent work via Goroutines.
        go func() {
            // Async work to obtain pullRequests.
            ch <- pullRequests
        }()
        return func() interface{} {
            return <-ch
        }, nil
    },
},

使用方式

先用一個簡單例子來解釋之前的寫法會是什麼形式

package main

import (
    "encoding/json"
    "fmt"
    "log"
    "time"

    "github.com/graphql-go/graphql"
)

type Foo struct {
    Name string
}

var FieldFooType = graphql.NewObject(graphql.ObjectConfig{
    Name: "Foo",
    Fields: graphql.Fields{
        "name": &graphql.Field{Type: graphql.String},
    },
})

type Bar struct {
    Name string
}

var FieldBarType = graphql.NewObject(graphql.ObjectConfig{
    Name: "Bar",
    Fields: graphql.Fields{
        "name": &graphql.Field{Type: graphql.String},
    },
})

// QueryType fields: `concurrentFieldFoo` and `concurrentFieldBar` are resolved
// concurrently because they belong to the same field-level and their `Resolve`
// function returns a function (thunk).
var QueryType = graphql.NewObject(graphql.ObjectConfig{
    Name: "Query",
    Fields: graphql.Fields{
        "concurrentFieldFoo": &graphql.Field{
            Type: FieldFooType,
            Resolve: func(p graphql.ResolveParams) (interface{}, error) {
                type result struct {
                    data interface{}
                    err  error
                }
                ch := make(chan *result, 1)
                go func() {
                    defer close(ch)
                    time.Sleep(1 * time.Second)
                    foo := &Foo{Name: "Foo's name"}
                    ch <- &result{data: foo, err: nil}
                }()
                r := <-ch
                return r.data, r.err
            },
        },
        "concurrentFieldBar": &graphql.Field{
            Type: FieldBarType,
            Resolve: func(p graphql.ResolveParams) (interface{}, error) {
                type result struct {
                    data interface{}
                    err  error
                }
                ch := make(chan *result, 1)
                go func() {
                    defer close(ch)
                    time.Sleep(1 * time.Second)
                    bar := &Bar{Name: "Bar's name"}
                    ch <- &result{data: bar, err: nil}
                }()
                r := <-ch
                return r.data, r.err
            },
        },
    },
})

func main() {
    schema, err := graphql.NewSchema(graphql.SchemaConfig{
        Query: QueryType,
    })
    if err != nil {
        log.Fatal(err)
    }
    query := `
        query {
            concurrentFieldFoo {
                name
            }
            concurrentFieldBar {
                name
            }
        }
    `
    result := graphql.Do(graphql.Params{
        RequestString: query,
        Schema:        schema,
    })
    b, err := json.Marshal(result)
    if err != nil {
        log.Fatal(err)
    }
    fmt.Printf("%s", b)
    /*
        {
          "data": {
            "concurrentFieldBar": {
              "name": "Bar's name"
            },
            "concurrentFieldFoo": {
              "name": "Foo's name"
            }
          }
        }
    */
}

接著看看需要多少時間來完成執行

$ time go run examples/concurrent-resolvers/main.go | jq
{
  "data": {
    "concurrentFieldBar": {
      "name": "Bar's name"
    },
    "concurrentFieldFoo": {
      "name": "Foo's name"
    }
  }
}

real    0m4.186s
user    0m0.508s
sys     0m0.925s

總共花費了四秒，原因是每個 resolver 都是依序執行，所以都需要等每個 goroutines 執行完成才能進入到下一個 resolver，上面例子該如何改成 Concurrent 呢，很簡單，只要將 return 的部分換成

return func() (interface{}, error) {
    r := <-ch
    return r.data, r.err
}, nil

執行時間如下

$ time go run examples/concurrent-resolvers/main.go | jq
{
  "data": {
    "concurrentFieldBar": {
      "name": "Bar's name"
    },
    "concurrentFieldFoo": {
      "name": "Foo's name"
    }
  }
}

real    0m1.499s
user    0m0.417s
sys     0m0.242s

從原本的 4 秒多，變成 1.5 秒，原因就是兩個 resolver 的 goroutines 會同時執行，最後才拿結果。

心得

有了這功能後，比較複雜的 GraphQL 語法，就可以用此方式加速執行時間。作者也用 MongoDB + graphql 寫了一個範例，大家可以參考看看。