如何预装Gorm [英] How to preload with Gorm
问题描述
我在预加载和关联方面遇到障碍
I am hitting a road block with preloading and associations
type Entity struct {
ID uint `gorm:"primary_key"`
Username string
Repositories []*Repository `gorm:"many2many:entity_repositories"`
}
type Repository struct {
ID uint `gorm:"primary_key"`
Name string
Entities []*Entity `gorm:"many2many:entity_repositories"`
}
用户数量较少时,可以使用以下方法进行预加载
With small users numbers the preloading is fine using the below
db.Preload("Repositories").Find(&list)
也尝试过
db.Model(&User{}).Related(&Repository{}, "Repositories").Find(&list)
预加载似乎是 select *实体
,然后是使用 SELECT * FROM"repositories" INNER JOIN"entity_repositories" ON"entity_repositories"进行的内部联接."repository_id" =存储库." id"WHERE(" entity_repositories." entity_id"IN('1','2','3','4','5','6','7','8','9','10'))
The preload seems to a select * entities
and then a inner join using a SELECT * FROM "repositories" INNER JOIN "entity_repositories" ON "entity_repositories"."repository_id" = "repositories"."id" WHERE ("entity_repositories"."entity_id" IN ('1','2','3','4','5','6','7','8','9','10'))
随着用户数量的增加,由于达到了sqlite限制(dev),因此不再可维护.我尝试了许多排列!..实际上,我想我只希望它执行
As the number of user's increases this is no longer maintainable as it hits a sqlite limit (dev). I've tried numerous permutations! .. Realistically i guess i just want it to do something like
SELECT entities.*, repositories.*
FROM entities
JOIN entity_repositories ON entity_repositories.entity_id = entities.id
JOIN repositories ON repositories.id = entity_repositories.repository_id
ORDER BY entities.id
然后为我填写模型..
And fill in the model for me ..
我做错了什么明显的事情吗?
Am I doing something obviously wrong or?
推荐答案
不幸的是,这只是GORM处理预加载的方式.
Unfortunately that's just the way GORM handles preloading.
go-pg 的查询略好,但功能与GORM.在某些情况下,它仍然会执行多个查询.
go-pg has slightly better queries, but doesn't have the same functionality as GORM. It still will do multiple queries in some cases.
老实说,我建议仅对原始SQL使用查询构建如果您知道模型在编译时的外观.尽管我不知道我的模型看起来会是什么样,但最终我还是在项目中使用了这种方法.
I would honestly recommend just using query building with raw SQL, especially if you know what your models will look like at compile time. I ended up going with this approach in my project, despite the fact that I didn't know that my models were going to look like.
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