golang gorm查询lat和lng位置周围的位置

hgc7kmma  于 2021-06-15  发布在  Mysql
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我正试着向戈姆提出一个具体的要求。
以下是我使用的表格:

+-------------------+
| Tables            |
+-------------------+
| locations         |
| shops             |
| shops_tags        |
| tags              |
+-------------------+

位置表

+------------+------------------+------+-----+---------+----------------+
| Field      | Type             | Null | Key | Default | Extra          |
+------------+------------------+------+-----+---------+----------------+
| id         | int(10) unsigned | NO   | PRI | NULL    | auto_increment |
| shop_id    | bigint(20)       | YES  |     | NULL    |                |
| lat        | decimal(10,8)    | YES  |     | NULL    |                |
| lng        | decimal(11,8)    | YES  |     | NULL    |                |
+------------+------------------+------+-----+---------+----------------+

位置模型

type Location struct {
    gorm.Model
    ShopID int64
    Shop   Shop
    Lat    float64 `gorm:"type:decimal(10,8)"`
    Lng    float64 `gorm:"type:decimal(11,8)"`
}

商店table

+-------------+------------------+------+-----+---------+----------------+
| Field       | Type             | Null | Key | Default | Extra          |
+-------------+------------------+------+-----+---------+----------------+
| id          | int(10) unsigned | NO   | PRI | NULL    | auto_increment |
| name        | varchar(180)     | YES  | UNI | NULL    |                |
| active      | tinyint(1)       | YES  |     | 1       |                |
+-------------+------------------+------+-----+---------+----------------+

商店模型

type Shop struct {
    gorm.Model
    Name        string      `json:"name" gorm:"type:varchar(180);unique_index"`
    Active      int         `json:"active" gorm:"type:tinyint(1);default:1"`
    Tags        []*Tag      `json:"tags" gorm:"many2many:shops_tags;"`
    Locations   []Location  `json:"locations" gorm:"locations"`
}

标签型号

type Tag struct {
    gorm.Model
    Name  string  `json:"name" gorm:"type:varchar(180)"`    
    Shops []*Shop `json:"shops" gorm:"many2many:shops_tags;"`
}

返回json查询的处理程序

func GetShops(c echo.Context) error {
    db := db.DbManager()

    // Get POST data (name lat and lng)
    type geo struct {
        Lat string `json:"lat" form:"lat" query:"lat"`
        Lng string `json:"lng" form:"lng" query:"lng"`
    }

    // Bind request body
    g := new(geo)
    if err := c.Bind(g); err != nil {
        return c.JSON(http.StatusForbidden, err)
    }

    shops := []model.Shop{}

    // Totally disordered attempt of a query with `go-gorm` to display the list of nearby shops, sorted by the distance between us.

    db.Preload("Locations", func(db *gorm.DB) *gorm.DB {

        // How here use  g.Lat and g.Lng for this request  

        return db.Order("locations.id DESC").Limit(1)
    }).Preload("Tag").Find(&shops)

    // Json
    return c.JSON(http.StatusOK, echo.Map{
        "shops": &shops,
    })
}

所以我们有商店,有位置,我们想在距离我们位置15公里的范围内展示商店。只有最后一个位置是有用的,这就是为什么,我们将结果按降序限制为1。
编辑
感谢@rick james建议我重新表述我的问题,下面是中的问题 MYSQL ,如何适应 go-gorm :

SELECT
shops.id,
    shops.name, (
        (
            6371.04 * ACOS(
                (
                    (
                        COS(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(
                                    (90 - locations.lat)
                                )
                            )
                        ) * COS(
                            PI() / 2 - RADIANS(90 - -33.73788500)
                        ) * COS(
                            (
                                RADIANS(locations.lng) - RADIANS('151.23526000')
                            )
                        )
                    ) + (
                        SIN(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(
                                    (90 - locations.lat)
                                )
                            )
                        ) * SIN(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(90 - -33.73788500)
                            )
                        )
                    )
                )
            )
        )
    ) AS 'distance',
    locations.id AS 'location_id',
    locations.shop_id,
    locations.lat,
    locations.lng,
    locations.created_at
FROM
shops
INNER JOIN locations ON(
    locations.created_at >= '2017-12-13'
    AND(
        (
            6371.04 * ACOS(
                (
                    (
                        COS(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(
                                    (90 - locations.lat)
                                )
                            )
                        ) * COS(
                            PI() / 2 - RADIANS(90 - -33.73788500)
                        ) * COS(
                            (
                                RADIANS(locations.lng) - RADIANS('151.23526000')
                            )
                        )
                    ) + (
                        SIN(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(
                                    (90 - locations.lat)
                                )
                            )
                        ) * SIN(
                            (
                                (
                                    PI() / 2
                                ) - RADIANS(90 - -33.73788500)
                            )
                        )
                    )
                )
            )
        )
    ) < '500'
    AND shops.id = (locations.shop_id)
)
WHERE
  shops.active = 1
GROUP BY
  shops.id
ORDER BY
  distance ASC
LIMIT
  100
dauxcl2d

dauxcl2d1#

看看这个查询,我肯定会手工创建这个查询,而不是依赖任何orm来执行查询。请参阅在gorm数据库示例ref上使用exec方法。
但是。。。要使用像gorm这样的orm,可以使用gorm的sql生成器。这是一个应该具有指导意义的例子。请注意,这是针对sqlite数据库的,而不是针对mysql的,因此所使用的函数不存在。我们主要关心的是构建查询。

package main

import (
    "fmt"
    "time"

    "github.com/jinzhu/gorm"
    _ "github.com/jinzhu/gorm/dialects/sqlite"
)

const (
    layoutISO = "2006-01-02"
)

type Shop struct {
    gorm.Model
    Name      string     `json:"name" gorm:"type:varchar(180);unique_index"`
    Active    int        `json:"active" gorm:"type:tinyint(1);default:1"`
    Tags      []Tag      `json:"tags" gorm:"many2many:shops_tags;"`
    Locations []Location `json:"locations" gorm:"locations"`
}

type Tag struct {
    gorm.Model
    Name  string `json:"name" gorm:"type:varchar(180)"`
    Shops []Shop `json:"shops" gorm:"many2many:shops_tags;"`
}

type Location struct {
    gorm.Model
    ShopID int64
    Shop   Shop
    Lat    float64 `gorm:"type:decimal(10,8)"`
    Lng    float64 `gorm:"type:decimal(11,8)"`
}

// Get POST data (name lat and lng)
type geo struct {
    Lat float64 `json:"lat" form:"lat" query:"lat"`
    Lng float64 `json:"lng" form:"lng" query:"lng"`
}

var distance_calculation = `
       (
           (
                   6371.04 * ACOS(((COS(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                                    COS(PI() / 2 - RADIANS(90 - ?)) *
                                    COS((RADIANS(locations.lng) - RADIANS(?))))
                   + (SIN(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                      SIN(((PI() / 2) - RADIANS(90 - ?))))))
               )
           )`

func main() {
    db, err := gorm.Open("sqlite3", "test.db")
    if err != nil {
        panic("failed to connect database")
    }
    defer db.Close()
    // Enable Logger, show detailed log
    db.LogMode(true)

    // Migrate the schema
    db.AutoMigrate(&Shop{})
    db.AutoMigrate(&Tag{})
    db.AutoMigrate(&Location{})

    g := new(geo)
    g.Lat = -33.73788500
    g.Lng = 151.23526000
    type Result struct {
        ID         uint
        Name       string
        Distance   int
        LocationID uint
        ShopID     uint
        Lat        float64
        Lng        float64
        CreatedAt  time.Time
    }

    date, _ := time.Parse(layoutISO, "2017-12-13")
    var t []Result
    err = db.Table("Shops").
        Select("shops.id, shops.name, locations.id AS 'location_id', locations.shop_id, locations.lat, locations.lng, locations.created_at, "+
            distance_calculation+" as distance\n", g.Lat, g.Lng, g.Lat).
        Joins("inner join locations on shops.id = locations.shop_id\n").
        Where(&Shop{Active: 1}).
        Where("locations.created_at >= CAST(strftime('%s', ?) AS INT) * 1000", date).
        Where(distance_calculation + " < ?", g.Lat, g.Lng, g.Lat, 500).
        Group("\nshops.id\n").
        Order("locations.id DESC\n").
        Limit(100).Scan(&t).Error
    if err != nil {
        panic(err)
    }
    fmt.Printf("%+v\n", t)
}

使用sql builder生成的查询

(C:/Users/fakename/source/stackoverflow/go/geo-go-gorm/main.go:97)
[2019-10-31 15:36:37]  [1.00ms]  SELECT shops.id, shops.name, locations.id AS 'location_id', locations.shop_id, locations.lat, locations.lng, locations.created_at,
       (
           (
                   6371.04 * ACOS(((COS(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                                    COS(PI() / 2 - RADIANS(90 - -33.737885)) *
                                    COS((RADIANS(locations.lng) - RADIANS(151.23526))))
                   + (SIN(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                      SIN(((PI() / 2) - RADIANS(90 - -33.737885))))))
               )
           ) as distance
 FROM "Shops" inner join locations on shops.id = locations.shop_id
 WHERE ("shops"."active" = 1) AND (locations.created_at >= CAST(strftime('%s', '2017-12-13 00:00:00') AS INT) * 1000) AND (
       (
           (
                   6371.04 * ACOS(((COS(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                                    COS(PI() / 2 - RADIANS(90 - -33.737885)) *
                                    COS((RADIANS(locations.lng) - RADIANS(151.23526))))
                   + (SIN(((PI() / 2) - RADIANS((90 - locations.lat)))) *
                      SIN(((PI() / 2) - RADIANS(90 - -33.737885))))))
               )
           ) < 500
) GROUP BY shops.id
 ORDER BY locations.id DESC
 LIMIT 100

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