お題
Golang製GraphQLライブラリであるgqlgenの「Dataloaders」を使って、N+1問題（ググるとわんさか記事が出てくる）を解決する。
想定する読者
- Golangについてある程度書ける。
- 「GraphQL is 何？」ではない。
- gqlgenの getting-started で初期セットアップくらいはやったことがある。
関連記事索引
- 第12回「GraphQLにおけるRelayスタイルによるページング実装再考(Window関数使用版)」
- 第11回「Dataloadersを使ったN+1問題への対応」
- 第10回「GraphQL(gqlgen)エラーハンドリング」
- 第９回「GraphQLにおける認証認可事例（Auth0 RBAC仕立て）」
- 第８回「GraphQL/Nuxt.js(TypeScript/Vuetify/Apollo)/Golang(gqlgen)/Google Cloud Storageの組み合わせで動画ファイルアップロード実装例」
- 第７回「GraphQLにおけるRelayスタイルによるページング実装（後編：フロントエンド）」
- 第６回「GraphQLにおけるRelayスタイルによるページング実装（前編：バックエンド）」
- 第５回「DB接続付きGraphQLサーバ(by Golang)をローカルマシン上でDockerコンテナ起動」
- 第４回「graphql-codegenでフロントエンドをGraphQLスキーマファースト」
- 第３回「go+gqlgenでGraphQLサーバを作る（GORM使ってDB接続）」
- 第２回「NuxtJS(with Apollo)のTypeScript対応」
- 第１回「frontendに「nuxtjs/apollo」、backendに「go+gqlgen」の組み合わせでGraphQLサービスを作る」
開発環境
# OS - Linux(Ubuntu)
$ cat /etc/os-release
NAME="Ubuntu"
VERSION="18.04.5 LTS (Bionic Beaver)"
# バックエンド
# 言語 - Golang
$ go version
go version go1.15.2 linux/amd64
# gqlgen
v0.13.0
IDE - Goland
GoLand 2020.2.3
Build #GO-202.7319.61, built on September 16, 2020
今回の全ソース
Dataloaders導入前
Dataloaders導入後
実践
Dataloaders導入前
GraphQLスキーマ
例えば以下のようなGraphQLスキーマがあったとして、
schema.graphqls
type User {
id: ID!
name: String!
todos: [Todo]
}
type Todo {
id: ID!
task: String!
user: User!
}
type Query {
users: [User!]!
todos: [Todo!]!
}
type Todo が持つ user 、及び、type User が持つ todos には専用のリゾルバーを用意するものとする。
（今後、１件ないし条件に合致する todo や user を取得するクエリを用意する時にもロジックが流用できるため。）
モデル
user.go
type User struct {
ID int64 `json:"id"`
Name string `json:"name"`
}
todo.go
type Todo struct {
ID int64 `json:"id"`
Task string `json:"task"`
UserID int64 `json:"user_id" db:"user_id"`
}
データベース
１人のユーザーが２件ずつToDoを持っている状態
userテーブル
todoテーブル
メイン動線
とりあえず、DBハンドラーの生成とGraphQLサーバの起動。
DBはSQLiteを使っておく。
main.go(import文は省略)
func main() {
http.Handle("/", playground.Handler("GraphQL playground", "/query"))
http.Handle("/query", handler.NewDefaultServer(
generated.NewExecutableSchema(
generated.Config{
Resolvers: &graph.Resolver{
DB: sqlx.MustOpen("sqlite3", "./data.db"),
},
},
),
))
log.Fatal(http.ListenAndServe(":8080", nil))
}
リゾルバー
schema.resolvers.go
package graph
import (
"context"
"errors"
"fmt"
"log"
"github.com/sky0621/study-gqlgen/dataloaders/graph/generated"
"github.com/sky0621/study-gqlgen/dataloaders/graph/model"
)
// users: [User!]! に対応
func (r *queryResolver) Users(ctx context.Context) ([]*model.User, error) {
〜〜 後ほど解説 〜〜
}
// todos: [Todo!]! に対応
func (r *queryResolver) Todos(ctx context.Context) ([]*model.Todo, error) {
〜〜 後ほど解説 〜〜
}
// type User の todos: [Todo] 取得用
func (r *userResolver) Todos(ctx context.Context, obj *model.User) ([]*model.Todo, error) {
〜〜 後ほど解説 〜〜
}
// type Todo の user: User! 取得用
func (r *todoResolver) User(ctx context.Context, obj *model.Todo) (*model.User, error) {
〜〜 後ほど解説 〜〜
}
// Query returns generated.QueryResolver implementation.
func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }
// User returns generated.UserResolver implementation.
func (r *Resolver) User() generated.UserResolver { return &userResolver{r} }
// Todo returns generated.TodoResolver implementation.
func (r *Resolver) Todo() generated.TodoResolver { return &todoResolver{r} }
type queryResolver struct{ *Resolver }
type userResolver struct{ *Resolver }
type todoResolver struct{ *Resolver }
users: [User!]!
単純に全ユーザーを取得するだけ。
func (r *queryResolver) Users(ctx context.Context) ([]*model.User, error) {
var users []*model.User
sql := "SELECT * FROM user"
log.Print(sql)
if err := r.DB.SelectContext(ctx, &users, sql); err != nil {
log.Print(err)
return nil, err
}
return users, nil
}
todos: [Todo!]!
単純に全ToDoを取得するだけ。
func (r *queryResolver) Todos(ctx context.Context) ([]*model.Todo, error) {
var todos []*model.Todo
sql := "SELECT * FROM todo"
log.Print(sql)
if err := r.DB.SelectContext(ctx, &todos, sql); err != nil {
log.Print(err)
return nil, err
}
return todos, nil
}
type User の todos: [Todo]
１ユーザーの情報取得時に追加で実行されるクエリ。
１ユーザー毎に追加で実行されるので、つまり、５ユーザーの情報取得時には、＋５回SQLが発行される計算。
func (r *userResolver) Todos(ctx context.Context, obj *model.User) ([]*model.Todo, error) {
if obj == nil {
return []*model.Todo{}, nil
}
var todos []*model.Todo
sql := fmt.Sprintf("SELECT * FROM todo WHERE user_id = %d", obj.ID)
log.Print(sql)
if err := r.DB.SelectContext(ctx, &todos, sql); err != nil {
log.Print(err)
return nil, err
}
return todos, nil
}
type Todo の user: User!
１ToDoの情報取得時に追加で実行されるクエリ。
１ToDo毎に追加で実行されるので、つまり、４ToDoの情報取得時には、＋４回SQLが発行される計算。
func (r *todoResolver) User(ctx context.Context, obj *model.Todo) (*model.User, error) {
if obj == nil {
return nil, nil
}
var users []*model.User
sql := fmt.Sprintf("SELECT * FROM user WHERE id = %d", obj.UserID)
log.Print(sql)
if err := r.DB.SelectContext(ctx, &users, sql); err != nil {
log.Print(err)
return nil, err
}
if len(users) != 1 {
log.Print("users length is not 1")
return nil, errors.New("err")
}
return users[0], nil
}
動作確認
GraphQLでのusersクエリとtodosクエリの実行パターン毎に結果とクエリ発行回数を表示
1)users（todosリクエストなし）
クエリと結果（playground表記）
SQL発行ログ
2020/10/22 00:07:01 SELECT * FROM user
2)users（todosリクエストあり）
クエリと結果
query users {
users {
id
name
todos {
id
task
}
}
}
結果
{
"data": {
"users": [
{
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
},
{
"id": 2,
"name": "Suzuki",
"todos": [
{
"id": 5,
"task": "やること 5"
},
{
"id": 6,
"task": "やること 6"
},
{
"id": 7,
"task": "やること 7"
},
{
"id": 8,
"task": "やること 8"
}
]
},
{
"id": 3,
"name": "Takahashi",
"todos": [
{
"id": 9,
"task": "やること 9"
},
{
"id": 10,
"task": "やること10"
},
{
"id": 11,
"task": "やること11"
},
{
"id": 12,
"task": "やること12"
}
]
},
{
"id": 4,
"name": "Tanaka",
"todos": [
{
"id": 13,
"task": "やること13"
},
{
"id": 14,
"task": "やること14"
},
{
"id": 15,
"task": "やること15"
},
{
"id": 16,
"task": "やること16"
}
]
},
{
"id": 5,
"name": "Ito",
"todos": [
{
"id": 17,
"task": "やること17"
},
{
"id": 18,
"task": "やること18"
},
{
"id": 19,
"task": "やること19"
},
{
"id": 20,
"task": "やること20"
}
]
}
]
}
}SQL発行ログ
2020/10/22 00:08:33 SELECT * FROM user
2020/10/22 00:08:33 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:08:33 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:08:33 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:08:33 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:08:33 SELECT * FROM todo WHERE user_id = 4
全ユーザー取得後、ユーザー１人ずつ、ToDoを取得するSQLが発行されている。
結果、計６回のSQL発行となっている。
3)todos（usersリクエストなし）
クエリと結果
query todos {
todos {
id
task
}
}
結果
{
"data": {
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
},
{
"id": 5,
"task": "やること 5"
},
{
"id": 6,
"task": "やること 6"
},
{
"id": 7,
"task": "やること 7"
},
{
"id": 8,
"task": "やること 8"
},
{
"id": 9,
"task": "やること 9"
},
{
"id": 10,
"task": "やること10"
},
{
"id": 11,
"task": "やること11"
},
{
"id": 12,
"task": "やること12"
},
{
"id": 13,
"task": "やること13"
},
{
"id": 14,
"task": "やること14"
},
{
"id": 15,
"task": "やること15"
},
{
"id": 16,
"task": "やること16"
},
{
"id": 17,
"task": "やること17"
},
{
"id": 18,
"task": "やること18"
},
{
"id": 19,
"task": "やること19"
},
{
"id": 20,
"task": "やること20"
}
]
}
}SQL発行ログ
2020/10/22 00:21:25 SELECT * FROM todo
4)todos（usersリクエストあり）
クエリと結果
query todos {
todos {
id
task
user {
id
name
}
}
}
結果
{
"data": {
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato"
}
},
{
"id": 2,
"task": "やること 2",
"user": {
"id": 1,
"name": "Sato"
}
},
{
"id": 3,
"task": "やること 3",
"user": {
"id": 1,
"name": "Sato"
}
},
{
"id": 4,
"task": "やること 4",
"user": {
"id": 1,
"name": "Sato"
}
},
{
"id": 5,
"task": "やること 5",
"user": {
"id": 2,
"name": "Suzuki"
}
},
{
"id": 6,
"task": "やること 6",
"user": {
"id": 2,
"name": "Suzuki"
}
},
{
"id": 7,
"task": "やること 7",
"user": {
"id": 2,
"name": "Suzuki"
}
},
{
"id": 8,
"task": "やること 8",
"user": {
"id": 2,
"name": "Suzuki"
}
},
{
"id": 9,
"task": "やること 9",
"user": {
"id": 3,
"name": "Takahashi"
}
},
{
"id": 10,
"task": "やること10",
"user": {
"id": 3,
"name": "Takahashi"
}
},
{
"id": 11,
"task": "やること11",
"user": {
"id": 3,
"name": "Takahashi"
}
},
{
"id": 12,
"task": "やること12",
"user": {
"id": 3,
"name": "Takahashi"
}
},
{
"id": 13,
"task": "やること13",
"user": {
"id": 4,
"name": "Tanaka"
}
},
{
"id": 14,
"task": "やること14",
"user": {
"id": 4,
"name": "Tanaka"
}
},
{
"id": 15,
"task": "やること15",
"user": {
"id": 4,
"name": "Tanaka"
}
},
{
"id": 16,
"task": "やること16",
"user": {
"id": 4,
"name": "Tanaka"
}
},
{
"id": 17,
"task": "やること17",
"user": {
"id": 5,
"name": "Ito"
}
},
{
"id": 18,
"task": "やること18",
"user": {
"id": 5,
"name": "Ito"
}
},
{
"id": 19,
"task": "やること19",
"user": {
"id": 5,
"name": "Ito"
}
},
{
"id": 20,
"task": "やること20",
"user": {
"id": 5,
"name": "Ito"
}
}
]
}
}SQL発行ログ
2020/10/22 00:24:44 SELECT * FROM todo
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
全ToDo取得後、ToDo１件ずつ、ユーザーを取得するSQLが発行されている。
結果、計２１回のSQL発行となっている。
5)より複雑な例
今回のGraphQLスキーマではToDoとUserが互いを参照し合う循環参照構造にしている。
そのため、やろうと思えば以下のようなクエリを流すこともできる。
クエリと結果
query todos {
todos {
id
task
user {
id
name
todos {
id
task
user {
id
name
todos {
id
task
user {
id
name
todos {
id
task
}
}
}
}
}
}
}
}
結果
{
"data": {
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 2,
"task": "やること 2",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 3,
"task": "やること 3",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 4,
"task": "やること 4",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
}
]
}
},
{
"id": 2,
"task": "やること 2",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 2,
"task": "やること 2",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 3,
"task": "やること 3",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 4,
"task": "やること 4",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
}
]
}
},
{
"id": 3,
"task": "やること 3",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 2,
"task": "やること 2",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 3,
"task": "やること 3",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
},
{
"id": 4,
"task": "やること 4",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
},
{
"id": 2,
"task": "やること 2"
},
{
"id": 3,
"task": "やること 3"
},
{
"id": 4,
"task": "やること 4"
}
]
}
}
]
}
},
{
"id": 4,
"task": "やること 4",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1",
"user": {
"id": 1,
"name": "Sato",
"todos": [
{
"id": 1,
"task": "やること 1"
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}SQL発行ログ
計８４１回のSQL発行ログ
2020/10/22 00:34:57 SELECT * FROM todo
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
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2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 2
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 1
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM user WHERE id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 5
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 3
2020/10/22 00:34:57 SELECT * FROM todo WHERE user_id = 4考察
というように、何も考えず自由気ままにスキーマ定義して、汎用性を考慮してシンプルなSQL発行になるようにすると、結果、膨大な回数のSQL発行を行うことになる。
最後の循環参照構造についてはクライアントを一般公開している場合、何の制限もかけていないとフランクにDOSアタックを受けることになるのだけど、その対策については後述。
まずは、SQL発行回数を減らす方策を検討する。
単純に考えれば、リゾルバー毎にチューニングしたSQLを用意すればいいだけ。
つまり、
type User の todos: [Todo]用のリゾルバーや
type Todo の user: User!用のリゾルバーを用意せず、
(r *queryResolver) Users(ctx context.Context) ([]*model.User, error)
(r *queryResolver) Todos(ctx context.Context) ([]*model.Todo, error)
の中でリクエストに積まれた内容に応じたSQLを都度つど生成すればいいということ。
ただし、
そのような方策をとると、至極柔軟なGraphQLクエリのリクエストに対応するために、複雑なSQL生成ロジックを用意する羽目になる。
できればSQLはシンプルに抑えたい。
ということで登場するのがDataloaders。
Dataloaders導入後
導入手順
基本的に以下に沿ってソースを自動生成。
https://gqlgen.com/reference/dataloaders/#dataloader
まあ、↑に書いてあるのだけど、
go get github.com/vektah/dataloaden
でdataloadenを取得し、ソースを自動生成したいパス（例えば今回は、study-gqlgen/dataloaders/graph/）で、
go run github.com/vektah/dataloaden UserLoader int *github.com/sky0621/study-gqlgen/dataloaders/graph/model.User
と
go run github.com/vektah/dataloaden TodoLoader int64 []*github.com/sky0621/study-gqlgen/dataloaders/graph/model.Todo
とする。真ん中あたりにある int は、user や todo をユニークに特定するキーとなる要素の型。
今回だと、user テーブルも todo テーブルもPKをintegerにしているので、intにしておく。
PKがUUIDみたいに文字列だったりするのなら、
go run github.com/vektah/dataloaden UserLoader string *github.com/sky0621/study-gqlgen/dataloaders/graph/model.User
にすればいい。
また、生成する型に関して、model.User は、ただのポインタで、model.Todo はスライスにしている。
これは、それぞれの使われ方が以下のように異なるため。
model.User
todosリゾルバーにより複数のtodoが取得されたあと、１ToDo毎に紐づくユーザーを取得するリゾルバー（(r *todoResolver) User(~~)）が呼ばれるが、そこで使われる。
そこでは、１ToDoに紐づく１ユーザーが取れればいいので、ただのポインタで返すdataloaderを用意。
model.Todo
usersリゾルバーにより複数のuserが取得されたあと、１ユーザー毎に紐づくToDoを取得するリゾルバー（(r *userResolver) Todos(~~)）が呼ばれるが、そこで使われる。
そこでは、１ユーザーに紐づく複数のToDoが取得されるので、スライスで返すdataloaderを用意。
自動生成ソース（解説なし）
上記 dataloaden コマンドで自動生成したソースは下記。
userloader_gen.go
// Code generated by github.com/vektah/dataloaden, DO NOT EDIT.
package graph
import (
"sync"
"time"
"github.com/sky0621/study-gqlgen/dataloaders/graph/model"
)
// UserLoaderConfig captures the config to create a new UserLoader
type UserLoaderConfig struct {
// Fetch is a method that provides the data for the loader
Fetch func(keys []int) ([]*model.User, []error)
// Wait is how long wait before sending a batch
Wait time.Duration
// MaxBatch will limit the maximum number of keys to send in one batch, 0 = not limit
MaxBatch int
}
// NewUserLoader creates a new UserLoader given a fetch, wait, and maxBatch
func NewUserLoader(config UserLoaderConfig) *UserLoader {
return &UserLoader{
fetch: config.Fetch,
wait: config.Wait,
maxBatch: config.MaxBatch,
}
}
// UserLoader batches and caches requests
type UserLoader struct {
// this method provides the data for the loader
fetch func(keys []int) ([]*model.User, []error)
// how long to done before sending a batch
wait time.Duration
// this will limit the maximum number of keys to send in one batch, 0 = no limit
maxBatch int
// INTERNAL
// lazily created cache
cache map[int]*model.User
// the current batch. keys will continue to be collected until timeout is hit,
// then everything will be sent to the fetch method and out to the listeners
batch *userLoaderBatch
// mutex to prevent races
mu sync.Mutex
}
type userLoaderBatch struct {
keys []int
data []*model.User
error []error
closing bool
done chan struct{}
}
// Load a User by key, batching and caching will be applied automatically
func (l *UserLoader) Load(key int) (*model.User, error) {
return l.LoadThunk(key)()
}
// LoadThunk returns a function that when called will block waiting for a User.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *UserLoader) LoadThunk(key int) func() (*model.User, error) {
l.mu.Lock()
if it, ok := l.cache[key]; ok {
l.mu.Unlock()
return func() (*model.User, error) {
return it, nil
}
}
if l.batch == nil {
l.batch = &userLoaderBatch{done: make(chan struct{})}
}
batch := l.batch
pos := batch.keyIndex(l, key)
l.mu.Unlock()
return func() (*model.User, error) {
<-batch.done
var data *model.User
if pos < len(batch.data) {
data = batch.data[pos]
}
var err error
// its convenient to be able to return a single error for everything
if len(batch.error) == 1 {
err = batch.error[0]
} else if batch.error != nil {
err = batch.error[pos]
}
if err == nil {
l.mu.Lock()
l.unsafeSet(key, data)
l.mu.Unlock()
}
return data, err
}
}
// LoadAll fetches many keys at once. It will be broken into appropriate sized
// sub batches depending on how the loader is configured
func (l *UserLoader) LoadAll(keys []int) ([]*model.User, []error) {
results := make([]func() (*model.User, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
users := make([]*model.User, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
users[i], errors[i] = thunk()
}
return users, errors
}
// LoadAllThunk returns a function that when called will block waiting for a Users.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *UserLoader) LoadAllThunk(keys []int) func() ([]*model.User, []error) {
results := make([]func() (*model.User, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
return func() ([]*model.User, []error) {
users := make([]*model.User, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
users[i], errors[i] = thunk()
}
return users, errors
}
}
// Prime the cache with the provided key and value. If the key already exists, no change is made
// and false is returned.
// (To forcefully prime the cache, clear the key first with loader.clear(key).prime(key, value).)
func (l *UserLoader) Prime(key int, value *model.User) bool {
l.mu.Lock()
var found bool
if _, found = l.cache[key]; !found {
// make a copy when writing to the cache, its easy to pass a pointer in from a loop var
// and end up with the whole cache pointing to the same value.
cpy := *value
l.unsafeSet(key, &cpy)
}
l.mu.Unlock()
return !found
}
// Clear the value at key from the cache, if it exists
func (l *UserLoader) Clear(key int) {
l.mu.Lock()
delete(l.cache, key)
l.mu.Unlock()
}
func (l *UserLoader) unsafeSet(key int, value *model.User) {
if l.cache == nil {
l.cache = map[int]*model.User{}
}
l.cache[key] = value
}
// keyIndex will return the location of the key in the batch, if its not found
// it will add the key to the batch
func (b *userLoaderBatch) keyIndex(l *UserLoader, key int) int {
for i, existingKey := range b.keys {
if key == existingKey {
return i
}
}
pos := len(b.keys)
b.keys = append(b.keys, key)
if pos == 0 {
go b.startTimer(l)
}
if l.maxBatch != 0 && pos >= l.maxBatch-1 {
if !b.closing {
b.closing = true
l.batch = nil
go b.end(l)
}
}
return pos
}
func (b *userLoaderBatch) startTimer(l *UserLoader) {
time.Sleep(l.wait)
l.mu.Lock()
// we must have hit a batch limit and are already finalizing this batch
if b.closing {
l.mu.Unlock()
return
}
l.batch = nil
l.mu.Unlock()
b.end(l)
}
func (b *userLoaderBatch) end(l *UserLoader) {
b.data, b.error = l.fetch(b.keys)
close(b.done)
}
todoloader_gen.go
// Code generated by github.com/vektah/dataloaden, DO NOT EDIT.
package graph
import (
"sync"
"time"
"github.com/sky0621/study-gqlgen/dataloaders/graph/model"
)
// TodoLoaderConfig captures the config to create a new TodoLoader
type TodoLoaderConfig struct {
// Fetch is a method that provides the data for the loader
Fetch func(keys []int64) ([][]*model.Todo, []error)
// Wait is how long wait before sending a batch
Wait time.Duration
// MaxBatch will limit the maximum number of keys to send in one batch, 0 = not limit
MaxBatch int
}
// NewTodoLoader creates a new TodoLoader given a fetch, wait, and maxBatch
func NewTodoLoader(config TodoLoaderConfig) *TodoLoader {
return &TodoLoader{
fetch: config.Fetch,
wait: config.Wait,
maxBatch: config.MaxBatch,
}
}
// TodoLoader batches and caches requests
type TodoLoader struct {
// this method provides the data for the loader
fetch func(keys []int64) ([][]*model.Todo, []error)
// how long to done before sending a batch
wait time.Duration
// this will limit the maximum number of keys to send in one batch, 0 = no limit
maxBatch int
// INTERNAL
// lazily created cache
cache map[int64][]*model.Todo
// the current batch. keys will continue to be collected until timeout is hit,
// then everything will be sent to the fetch method and out to the listeners
batch *todoLoaderBatch
// mutex to prevent races
mu sync.Mutex
}
type todoLoaderBatch struct {
keys []int64
data [][]*model.Todo
error []error
closing bool
done chan struct{}
}
// Load a Todo by key, batching and caching will be applied automatically
func (l *TodoLoader) Load(key int64) ([]*model.Todo, error) {
return l.LoadThunk(key)()
}
// LoadThunk returns a function that when called will block waiting for a Todo.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *TodoLoader) LoadThunk(key int64) func() ([]*model.Todo, error) {
l.mu.Lock()
if it, ok := l.cache[key]; ok {
l.mu.Unlock()
return func() ([]*model.Todo, error) {
return it, nil
}
}
if l.batch == nil {
l.batch = &todoLoaderBatch{done: make(chan struct{})}
}
batch := l.batch
pos := batch.keyIndex(l, key)
l.mu.Unlock()
return func() ([]*model.Todo, error) {
<-batch.done
var data []*model.Todo
if pos < len(batch.data) {
data = batch.data[pos]
}
var err error
// its convenient to be able to return a single error for everything
if len(batch.error) == 1 {
err = batch.error[0]
} else if batch.error != nil {
err = batch.error[pos]
}
if err == nil {
l.mu.Lock()
l.unsafeSet(key, data)
l.mu.Unlock()
}
return data, err
}
}
// LoadAll fetches many keys at once. It will be broken into appropriate sized
// sub batches depending on how the loader is configured
func (l *TodoLoader) LoadAll(keys []int64) ([][]*model.Todo, []error) {
results := make([]func() ([]*model.Todo, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
todos := make([][]*model.Todo, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
todos[i], errors[i] = thunk()
}
return todos, errors
}
// LoadAllThunk returns a function that when called will block waiting for a Todos.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *TodoLoader) LoadAllThunk(keys []int64) func() ([][]*model.Todo, []error) {
results := make([]func() ([]*model.Todo, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
return func() ([][]*model.Todo, []error) {
todos := make([][]*model.Todo, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
todos[i], errors[i] = thunk()
}
return todos, errors
}
}
// Prime the cache with the provided key and value. If the key already exists, no change is made
// and false is returned.
// (To forcefully prime the cache, clear the key first with loader.clear(key).prime(key, value).)
func (l *TodoLoader) Prime(key int64, value []*model.Todo) bool {
l.mu.Lock()
var found bool
if _, found = l.cache[key]; !found {
// make a copy when writing to the cache, its easy to pass a pointer in from a loop var
// and end up with the whole cache pointing to the same value.
cpy := make([]*model.Todo, len(value))
copy(cpy, value)
l.unsafeSet(key, cpy)
}
l.mu.Unlock()
return !found
}
// Clear the value at key from the cache, if it exists
func (l *TodoLoader) Clear(key int64) {
l.mu.Lock()
delete(l.cache, key)
l.mu.Unlock()
}
func (l *TodoLoader) unsafeSet(key int64, value []*model.Todo) {
if l.cache == nil {
l.cache = map[int64][]*model.Todo{}
}
l.cache[key] = value
}
// keyIndex will return the location of the key in the batch, if its not found
// it will add the key to the batch
func (b *todoLoaderBatch) keyIndex(l *TodoLoader, key int64) int {
for i, existingKey := range b.keys {
if key == existingKey {
return i
}
}
pos := len(b.keys)
b.keys = append(b.keys, key)
if pos == 0 {
go b.startTimer(l)
}
if l.maxBatch != 0 && pos >= l.maxBatch-1 {
if !b.closing {
b.closing = true
l.batch = nil
go b.end(l)
}
}
return pos
}
func (b *todoLoaderBatch) startTimer(l *TodoLoader) {
time.Sleep(l.wait)
l.mu.Lock()
// we must have hit a batch limit and are already finalizing this batch
if b.closing {
l.mu.Unlock()
return
}
l.batch = nil
l.mu.Unlock()
b.end(l)
}
func (b *todoLoaderBatch) end(l *TodoLoader) {
b.data, b.error = l.fetch(b.keys)
close(b.done)
}
使い方
理屈としては、下記。
例えば、ユーザー情報を含む全ToDoを取得する時、１リクエストにつき以下のSQL発行をしていた。
2020/10/22 00:24:44 SELECT * FROM todo
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 1
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 2
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 3
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 4
2020/10/22 00:24:44 SELECT * FROM user WHERE id = 5
それに対して、dataloaderでは、１リクエストを受けて各種リゾルバーが発火している間、一定時間（ないし一定数の検索用 ID が溜まるまで）待機する。
それにより、今まで WHERE id = 1 等としていて複数回SQLを発行しないといけなかったものを、WHERE id IN (1, 2, 3, ..) として１回（件数次第では２〜N回）に減らすようにする。
上記を実現するために、HTTPリクエストスコープをフックするミドルウェアを定義し、その中で自動生成したソースの機能を使いながら、id おまとめタイプのSQL文を発行する。
HTTPリクエストスコープをフックするミドルウェア
server.go(package,import文は省略)
func main() {
db := sqlx.MustOpen("sqlite3", "./data.db")
http.Handle("/", playground.Handler("GraphQL playground", "/query"))
http.Handle("/query", graph.Middleware( <-- 追加！
db,
handler.NewDefaultServer(
generated.NewExecutableSchema(
generated.Config{
Resolvers: &graph.Resolver{
DB: db,
},
},
),
)),
)
log.Fatal(http.ListenAndServe(":8080", nil))
}
graph.Middleware(~~)でハンドラーをラップ。
ミドルウェア
書きっぷりは以下に記載のソースをトレースしているので細かい説明は無し。
https://gqlgen.com/reference/dataloaders/#dataloader
これにより、最大１ミリ秒の待機、ないし、最大 100 個分の id が溜まったタイミングで、UserLoader 、TodoLoader 内の fetch 関数で定義したSQL発行が呼び出せるようになる。
graph/dataloaders.go
package graph
import (
"context"
"log"
"net/http"
"strconv"
"strings"
"time"
"github.com/jmoiron/sqlx"
"github.com/sky0621/study-gqlgen/dataloaders/graph/model"
)
const loadersKey = "dataLoaders"
type Loaders struct {
UsersByIDs UserLoader
TodosByUserIDs TodoLoader
}
func Middleware(conn *sqlx.DB, next http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
ctx := context.WithValue(r.Context(), loadersKey, &Loaders{
UsersByIDs: UserLoader{
maxBatch: 100,
wait: 1 * time.Millisecond,
// 最大１ミリ秒待機した結果、ないし、最大 100 個のGraphQLクエリが溜まった分の id のスライスが ids という名前で渡ってくる。
fetch: func(ids []int64) ([]*model.User, []error) {
if len(ids) == 0 {
return nil, nil
}
sql := "SELECT * FROM user WHERE id IN (" + toPKs(ids) + ")"
log.Print(sql)
var users []*model.User
if err := conn.SelectContext(r.Context(), &users, sql); err != nil {
log.Print(err)
return nil, []error{err}
}
// ids の中の id 毎にデータをマッピングする必要がある。
userById := map[int64]*model.User{}
for _, user := range users {
userById[user.ID] = user
}
results := make([]*model.User, len(ids))
for i, id := range ids {
results[i] = userById[id]
}
return results, nil
},
},
TodosByUserIDs: TodoLoader{
maxBatch: 100,
wait: 1 * time.Millisecond,
// 最大１ミリ秒待機した結果、ないし、最大 100 個のGraphQLクエリが溜まった分の id のスライスが ids という名前で渡ってくる。
fetch: func(userIDs []int64) ([][]*model.Todo, []error) {
if len(userIDs) == 0 {
return nil, nil
}
sql := "SELECT * FROM todo WHERE user_id IN (" + toPKs(userIDs) + ")"
log.Print(sql)
var todos []*model.Todo
if err := conn.SelectContext(r.Context(), &todos, sql); err != nil {
log.Print(err)
return nil, []error{err}
}
// ids の中の id 毎にデータをマッピングする必要がある。
todoByUserId := map[int64][]*model.Todo{}
for _, todo := range todos {
todoByUserId[todo.UserID] = append(todoByUserId[todo.UserID], todo)
}
results := make([][]*model.Todo, len(userIDs))
for i, id := range userIDs {
results[i] = todoByUserId[id]
}
return results, nil
},
},
})
r = r.WithContext(ctx)
next.ServeHTTP(w, r)
})
}
func For(ctx context.Context) *Loaders {
return ctx.Value(loadersKey).(*Loaders)
}
func toPKs(ids []int64) string {
// ids をSQL文の IN 句に指定できる形に変換
var pks []string
for _, id := range ids {
pks = append(pks, strconv.FormatInt(id, 10))
}
return strings.Join(pks, ",")
}
リゾルバー
dataloader使用前は以下の各関数内に１ユーザー毎のToDo取得用SQL発行、１ToDo毎のユーザー取得用SQL発行を書いていたが、dataloader側にロジックを寄せたので、リゾルバー内は以下の通り簡素になる。
graph/schema.resolvers.go(dataloader使用前と変わった部分だけ抜粋)
func (r *userResolver) Todos(ctx context.Context, obj *model.User) ([]*model.Todo, error) {
if obj == nil {
return []*model.Todo{}, nil
}
return For(ctx).TodosByUserIDs.Load(obj.ID)
}
func (r *todoResolver) User(ctx context.Context, obj *model.Todo) (*model.User, error) {
if obj == nil {
return nil, nil
}
return For(ctx).UsersByIDs.Load(obj.UserID)
}
動作確認
クエリと結果はdataloader使用前と同じなので、SQL発行結果だけ。
これなら、ToDoの件数やユーザー数がいくら増えても、その分だけSQL発行回数が増えるということはない。
■users（todosリクエストあり）
2020/10/23 02:33:03 SELECT * FROM user
2020/10/23 02:33:03 SELECT * FROM todo WHERE user_id IN (5,1,3,4,2)
■todos（usersリクエストあり）
2020/10/23 02:33:59 SELECT * FROM todo
2020/10/23 02:33:59 SELECT * FROM user WHERE id IN (5,1,2,3,4)
まとめ
そもそも紐づく情報や子階層の情報を取得するのに親情報の１件１件毎にSQL発行すること自体、ありえないけど、こうしたN+1問題と言われるものは大昔からあるみたい。
大抵は使用する言語でよく使うフレームワークあたりが解決手段をライブラリとして提供してたりするので、あまり意識することはないかもしれないけど。
ちなみに、Dataloaderによる自動生成は、慣れてしまうと、どうということはないのだろうけど、（重要な部分は自動生成とは言え）キーの型をどうするかや関数の戻り値はポインタにするのかスライスにするのか等、どう使われるかを考慮の上、決めなくてはいけないので、最初はけっこう迷いは生じる。
スキーマ構造が循環参照していることにより、いくらでも複雑なクエリが叩けてしまう件については、力尽きたので、また次の機会に。