GORM SELECT * FROM table1 WHERE type = '图片'UNIONSELECT * FROM table2 WHERE type = '图片'UNIONSELECT * FROM table3 WHERE type = '图片'UNIONSELECT * FROM table4 WHERE type = '图片'UNIONSELECT * FROM table5 WHERE type = '图片';
时间: 2024-01-04 16:02:34 浏览: 148
以上 SQL 语句是一个查询语句,目的是从 5 个表中选出 type 字段为 '图片' 的所有行,并将它们合并成一个结果集。其中使用了 UNION 运算符将多个 SELECT 语句的结果合并。这里的 * 表示选取所有列。GORM 是一个 Go 语言 ORM 框架,可以通过该框架进行数据库操作,包括查询、插入、更新、删除等。在 GORM 中,可以使用 Raw 方法执行原始 SQL 语句,例如:
```
db.Raw("SELECT * FROM table1 WHERE type = ? UNION SELECT * FROM table2 WHERE type = ? UNION SELECT * FROM table3 WHERE type = ? UNION SELECT * FROM table4 WHERE type = ? UNION SELECT * FROM table5 WHERE type = ?", "图片", "图片", "图片", "图片", "图片").Scan(&result)
```
其中,? 是占位符,用于占据 SQL 语句中的参数位置,Scan 方法用于将查询结果转换为指定类型的数据结构。
相关问题
改进代码var req []*Total res := db.Scopes(models.Paginate(page, pageSize)).Raw("SELECT * FROM flaws WHERE facility_id = ? "+ "UNION SELECT * FROM issues WHERE facility_id = ? "+ "UNION SELECT * FROM records WHERE facility_id = ? "+ "UNION SELECT * FROM qualities WHERE facility_id = ? "+ "UNION SELECT * FROM inspections WHERE facility_id = ?", code, code, code, code, code).Find(&req)
这段代码可以优化为使用GORM的联合查询(Union)功能,避免使用Raw SQL语句。
可以尝试这样改进代码:
```
err := db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, field2, NULL as field3, NULL as field4, NULL as field5").
Table("flaws").
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, field3, field4, NULL as field5").
Table("issues")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, NULL as field3, NULL as field4, field5").
Table("records")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, field2, NULL as field3, NULL as field4, NULL as field5").
Table("qualities")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, field3, field4, field5").
Table("inspections")).
Order("created_at desc").
Limit(pageSize).
Offset((page - 1) * pageSize).
Find(&req).Error
```
在这个示例中,我们使用了 `Select` 函数选择每个表中的字段,并将不需要的字段设置为 `NULL`。然后我们使用 `Union` 函数将所有查询合并到一起,并使用 `Order`、`Limit` 和 `Offset` 函数进行分页和排序。
这种方法比使用 `Raw` 函数更安全,因为它可以防止 SQL 注入攻击,并且更易于维护。
改进代码var req []*Total res := db.Scopes(models.Paginate(page, pageSize)).Raw("SELECT * FROM flaws WHERE facility_id = ? "+ "UNION SELECT * FROM issues WHERE facility_id = ? "+ "UNION SELECT * FROM records WHERE facility_id = ? "+ "UNION SELECT * FROM qualities WHERE facility_id = ? "+ "UNION SELECT * FROM inspections WHERE facility_id = ?", code, code, code, code, code).Find(&req) if res.RowsAffected == 0 { resp.Code = 400 resp.Msg = "记录不存在" ctx.JSON(400, resp) return } resp.Data = req ctx.JSON(200, resp)
这段代码可以进行一些改进来提高效率和可读性。首先,可以使用更具可读性的命名来使代码更易于理解。其次,可以使用`ErrRecordNotFound`错误来处理记录不存在的情况,这样代码更易于维护和扩展。最后,可以使用`db.Table`将SQL查询转换为更清晰的代码。
下面是改进后的代码示例:
```
var (
records []*Total
err error
)
err = db.Table("flaws").Where("facility_id = ?", code).Find(&records).Error
if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
resp.Code = 500
resp.Msg = "查询失败"
ctx.JSON(500, resp)
return
}
err = db.Table("issues").Where("facility_id = ?", code).Find(&records).Error
if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
resp.Code = 500
resp.Msg = "查询失败"
ctx.JSON(500, resp)
return
}
err = db.Table("records").Where("facility_id = ?", code).Find(&records).Error
if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
resp.Code = 500
resp.Msg = "查询失败"
ctx.JSON(500, resp)
return
}
err = db.Table("qualities").Where("facility_id = ?", code).Find(&records).Error
if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
resp.Code = 500
resp.Msg = "查询失败"
ctx.JSON(500, resp)
return
}
err = db.Table("inspections").Where("facility_id = ?", code).Find(&records).Error
if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
resp.Code = 500
resp.Msg = "查询失败"
ctx.JSON(500, resp)
return
}
if len(records) == 0 {
resp.Code = 400
resp.Msg = "记录不存在"
ctx.JSON(400, resp)
return
}
resp.Data = records
ctx.JSON(200, resp)
```
通过这些改进,代码变得更加易于理解和维护,并且可以更清晰地处理错误和异常情况。
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