rails generate model photo title:string album:references
这会产生一个album_id列，当建立belongs_to关联时，需要用到。
references算时一种结构，会产生integer.
For integer, string, text and binary fields, an integer in curly braces will be set as the limit: `rails generate model user pseudo:string{30}`For decimal, two integers separated by a comma in curly braces will be used for precision and scale: rails generate model product ‘price:decimal{10,2}’You can add a `:uniq` or `:index` suffix for unique `rails generate model user pseudo:string:uniq` `rails generate model user pseudo:string:index`You can combine any single curly brace option with the index options: `rails generate model user username:string{30}:uniq`
Database Configuration
config/database.yml中可以看到默认的数据库配置。
development: <<: *default database: db/development.sqlite3
使用sqlite3+路径, 进入控制台。
$ sqlite3 db/development.sqlite3SQLite version 3.14.0 2016-07-26 15:17:14Enter “.help” for usage hints.sqlite> .tables#显示所有表格ar_internal_metadata productscountries schema_migrationssqlite> .schema countries#打印创建表格的命令。CREATE TABLE “countries” (“id” integer PRIMARY KEY AUTOINCREMENT NOT NULL, “name” varchar, “population” integer, “created_at” datetime NOT NULL, “updated_at” datetime NOT NULL);
在rails console建立一条记录，可以通过底层数据库sqlite3查看：
$ sqlite3 db/development.sqlite3
> select * from countries;
1|Cermany|81831000|2018-06-15 07:39:00.370425|2018-06-15
表示成功。
一次创建多条数据需要使用一个数组的hashes。
Country.create([{name: “China”}, {name:”France”}])
Country.all返回得到一个数组的Country。它是一个ActiveRecord::Relation scope object
因此，Country.all可以使用each方法。
rails db:drop 删除数据库。rails db:create, rails db:migrate三剑客。
rails db:seed建立种子文件。
find , where
使用查询方法的使用，如果是多条，必然返回一个Array。
Country.find(1)返回的是一个单独的object，他的类是Country
Country.find([1])返回的则是一个集合[]，他的类是 Array
这里用到了between..and..
> Album.where(release_year:1960..1966).count (0.2ms) SELECT COUNT(*) FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1966]]=> 5
这里使用了and连接了2个between..and..
> Album.where(release_year:1960..1966, id: 1..5).count (0.2ms) SELECT COUNT(*) FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? AND “albums”.”id” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1966], [“id”, 1], [“id”, 5]]=> 4
这里使用了in, 用于精确的指定查询条件
> Album.where(release_year:[1966, 1968]).count (0.1ms) SELECT COUNT(*) FROM “albums” WHERE “albums”.”release_year” IN (?, ?) [[“release_year”, 1966], [“release_year”, 1968]]=> 4
这里order by 和 ASC, limit
> Album.where(release_year:[1966, 1968]).first Album Load (0.2ms) SELECT “albums”.* FROM “albums” WHERE “albums”.”release_year” IN (?, ?) ORDER BY “albums”.”id” ASC LIMIT ? [[“release_year”, 1966], [“release_year”, 1968], [“LIMIT”, 1]]=> #<Album:0x00007ffd8cb9b388…>
所有查询语法，条件都可以使用？, (?, ?)代替，在语法最后使用Array,按顺序列出具体条件。
not ,or
这里使用了!=
> Album.where.not(release_year: 1968).count (0.1ms) SELECT COUNT(*) FROM “albums” WHERE “albums”.”release_year” != ? [[“release_year”, 1968]]=> 9
这里使用了数据库的or，另外rails语法，or()方法连接的应该是同一个数据库
> Album.where(release_year:1967).or(Album.where(name: “The Beathles”)).count
(0.2ms) SELECT COUNT(*) FROM “albums” WHERE (“albums”.”release_year” = ? OR “albums”.”name” = ?) [[“release_year”, 1967], [“name”, “The Beathles”]]⚠️和 Album.where(release_year:1960..1966, id: 1..5).count 的区别
自定义SQL,使用find_by_sql()方法。
模糊查找like, >= , <=
> Album.where(“name like ?”, “%on%”).count (0.1ms) SELECT COUNT(*) FROM “albums” WHERE (name like ‘%on%’)=> 5> Album.where(‘release_year > ?’, 1964).count (0.2ms) SELECT COUNT(*) FROM “albums” WHERE (release_year > 1964)=> 10
使用了AND
> Album.where(“name like ? AND release_year > ?”, ‘%on%’, 1970).count (0.1ms) SELECT COUNT(*) FROM “albums” WHERE (name like ‘%on%’ AND release_year > 1970)=> 3
使用了local variable在语法内部用了#{}插入符号
> Album.where(“name like ?”, “%#{search_string}%”).count (0.2ms) SELECT COUNT(*) FROM “albums” WHERE (name like ‘%ing%’)=> 2
链式查询：limit
这里用到limit方法限制查询记录数量。
Ablum.where(release_year: 1965..1968).order(:release_year).limit(3)
=>SELECT “albums”.* FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? ORDER BY “albums”.”release_year” ASC LIMIT ? [[“release_year”, 1965], [“release_year”, 1968], [“LIMIT”, 3]]
自动的优化查询：
因为order对sum来说是无关紧要的查询条件。所以SQL没有使用order查询。
> Album.where(release_year: 1970..1979).order(:name).sum(:release_year) => (42.5ms) SELECT SUM(“albums”.”release_year”) FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1970], [“release_year”, 1979]]=> 5922
reverse_order和 order
reverse_order反转查询顺序。
Album.where(release_year: 1960..1969).order(:name).reverse_order
Pluck()方法
从检索的记录中挑出需要的字段。
这里返回一个Array，包含了所以符合查询条件的记录的名字。
可以挑出多个字段，返回嵌套数组。
> Album.where(release_year: 1960..1969).pluck(:name) SELECT “albums”.”name” FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1969]]=> [“Sgt. Pepper’s Lonely Hearts Club Band”, “Pet Sounds”, “Revolver”, “Highway 61 Revisited”, “Rubber Soul”, “Blonde on Blonde”, “The Beatles”]
⚠️Album.pluck(:id)等同于Album.ids
Select()方法 类似pluck()
返回的是一个ActiveRecord::Relation。
> Album.where(release_year: 1960..1969).select(:name) SELECT “albums”.”name” FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1969]]=> [#<Album:0x00007ffd8bb808e0 id: nil, name: “Sgt. Pepper’s Lonely Hearts Club Band”>, #<Album:0x00007ffd8bb805c0 id: nil, name: “Pet Sounds”>, #<Album:0x00007ffd8bb80480 id: nil, name: “Revolver”>, #<Album:0x00007ffd8bb80340 id: nil, name: “Highway 61 Revisited”>, #<Album:0x00007ffd8bb80188 id: nil, name: “Rubber Soul”>, #<Album:0x00007ffd8bb7bed0 id: nil, name: “Blonde on Blonde”>, #<Album:0x00007ffd8bb7bbb0 id: nil, name: “The Beatles”>]
Calculations
average()方法。根据检索的条件，计算平均值，返回BigDecimal.
> Album.where(release_year: 1960..1969).average(:release_year) SELECT AVG(“albums”.”release_year”) FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1969]]=> 0.196614285714286e4
maximum(), minimum(), sum(),用法一样。
> Album.maximum(:release_year) (0.2ms) SELECT MAX(“albums”.”release_year”) FROM “albums”=> 1979
SQL EXPLAIN
大型的数据库，EXPLAIN是一个很好的debugging 方法。可以显示详细的信息。
> Album.where(release_year: 1960..1969).explain SELECT “albums”.* FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1969]]=> EXPLAIN for: SELECT “albums”.* FROM “albums” WHERE “albums”.”release_year” BETWEEN ? AND ? [[“release_year”, 1960], [“release_year”, 1969]]2|0|0|SCAN TABLE albums
批处理：batches
find_each，
find_in_batches: yields batches to 块，作为一个模型的数组。
见其他博客，或guide。
lock_version 乐观锁optimistic
备注：之前看rails的guide以及API, 因为是英文同时没有step to step的案例，一直没有弄明白。因此，如果某个特点在一篇教材上不懂，标记下来，可以通过查找不同的资料，如教材。一个step to step的案例是最方便理解知识点的地方了。
通过乐观锁可以锁定一个数据库的数据。
如果有多个用户同时修改同一条记录，就可能会产生冲突。 加上
