rails常用数据库查询操作、方法浅析

1、获取数据

获取第一条、最后一条记录

Model.first

Model.first(options)

Model.find(:first, options)

Model.last

Model.last(options)

Model.find(:last, options)

通过id获取记录

Model.find(1, 10, options)

Model.find([1, 10], options)

.find all

Model.all(options)

对一组数据进行相同操作

User.all.each do |user|

    NewsLetter.weekly_deliver(user)

end


如果表记录数比较大,这种方式比较耗资源,因为它会一次载入整个表的数据。改用以下这种方式,它每次只载入1000行,然后逐步yield完整个表

User.find_each do |user|

    NewsLetter.weekly_deliver(user)

end


自定义方式,find_each接受和find同样的options

User.find_each(:batch_size => 5000, :start => 2000) do |user|

    NewsLetter.weekly_deliver(user)

end


find_in_batches,和find_each相似,但它yield时传递的是model对象数组,而不是单个model对象

Invoice.find_in_batches(:include => :invoice_lines) do |invoices|

    export.add_invoices(invoices)

end

2、查询条件

通过替换?来传递条件值,可避免SQL注入

Client.first(:conditions => ["orders_count = ?", params[:orders])


symbol占位条件

Client.all(:conditions => ["created_at >= :start_date AND created_at <= :end_date", {:start_date => params[:start_date], :end_date => params[:end_date] }])


范围条件 in(集合)

Client.all(:conditions => ["created_at IN (?)", (params[:start_date].to_date)..(params[:end_date].to_date])


生成sql

SELECT * FROM users WHERE (created_at IN ('2007-12-31','2008-01-01','2008-01-02','2008-01-03','2008-01-04','2008-01-05', '2008-01-06','2008-01-07','2008-01-08'))


如果要生成日期时间,再加上.to_time

params[:start_date].to_date.to_time,生成2007-12-01 00:00:00格式

有上数据库会在以上条件中报错,如Mysql会报查询语句过长的错误,此时可以改成created_at > ? AND created_at < ?的形式

Hash条件

Client.all(:conditions => {:locked => true })


带范围条件

Client.all(:conditons => {:created => (Time.now.midnight - 1.day)..Time.now.midnight})


生成sql

SELECT * FROM clients WHERE (clients.created_at BETWEEN '2008-12-21 00:00:00' AND '2008-12-22 00:00:00')


集合条件

Client.all(:conditons => {:orders_count => [1,3,5])


生成sql

SELECT * FROM clients WHERE (clients.orders_count IN (1,3,5))

3、查询选项

排序

#单个排序

Client.all(:order => "created_at ASC")

#多个排序

Client.all(:order => "orders_count ASC, created_at DESC")


返回指定字段

Client.all(:select => "viewable_by, locked")

#使用函数

Client.all(:select => "DISTINCT(name)")


限定和偏移Limit and Offset

Client.all(:limit => 5)

#生成

SELECT * FROM clients LIMIT 5

Client.all(:limit => 5, :offset => 5)

#生成

SELECT * FROM clients LIMIT 5, 5


Group分组

Order.all(:group => "date(created_at)", :order => "created_at")


生成sql

SELECT * FROM orders GROUP BY date(created_at)

Having

Order.all(:group => "date(created_at)", :having => ["created_at > ?", 1.month.ago)


生成sql

SELECT * FROM orders GROUP BY date(created_at) HAVING created_at > '2009-01-15'

只读

client = Client.first(:readonly => true)

client.locked = false

client.save

#对只读对象进行保存将会触发ActiveRecord::ReadOnlyRecord异常


更新时锁定记录


乐观锁Optimistic Locking


为使用乐观锁,须在表里建一个lock_version的字段,每次更新记录时,ActiveRecord自动递增lock_version的值,

c1 = Client.find(1) c2 = Client.find(1) c1.name = "Michael" c1.save c2.name = "should fail" c2.save # Raises a ActiveRecord::StaleObjectError


备注:You must ensure that your database schema defaults the lock_version column to 0.

This behavior can be turned off by setting ActiveRecord::Base.lock_optimistically = false.

指定乐观锁字段名

class Client < ActiveRecord::Base set_locking_column :lock_client_column end


悲观锁Pessimistic Locking

悲观锁定由数据库直接提供

Item.transaction do

    i = Item.first(:lock => true)

    i.name = 'Jones'

    i.save

end


Mysql执行返回

SQL (0.2ms) BEGIN Item Load (0.3ms) SELECT * FROM `items` LIMIT 1 FOR UPDATE Item Update (0.4ms) UPDATE `items` SET `updated_at` = '2009-02-07 18:05:56', `name` = 'Jones' WHERE `id` = 1 SQL (0.8ms) COMMIT

为特定数据库加入原始的lock声明

为Mysql的锁定声明为共享模式,即锁定时仍然可读

Item.transaction do  i = Item.find(1, :lock => "LOCK IN SHARE MODE")  i.increment!(:views) end

4、关联表

Client.all(:joins => "LEFT OUTER JOIN address ON addresses.client_id = clients.id')


生成sql

SELECT clients.* FROM clients LEFT OUTER JOIN addresses ON addresses.client_id = clients.id

使用Array、Hash、Named Associations关联表

有如下model

class Category < ActiveRecord::Base

    has_many :posts

end

class Post < ActiveRecord::Base

    belongs_to :category

    has_many :comments

    has_many :tags

end

class Comments <ActiveRecord::Base

    belongs_to :post

    has_one :guest

end

class Guest < ActiveRecord::Base

    belongs_to :comment

end


#关联一个关系

Category.all :joins => :posts

#关联多个关系

Post.all :joins => [:category, :comments]

#嵌套关联

Category.all :joins => {:posts => [{:comments => :guest}, :tags]}


为关联查询结果设定条件

time_range = (Time.now.midnight - 1.day)..Time.now.midnight Client.all :joins => :orders, :conditions => {'orders.created_at' => time_ran

#或者

time_range = (Time.now.midnight - 1.day)..Time.now.midnight Client.all :joins => :orders, :conditions => {:orders => {:created_at => time_range}}


5、优化载入

以下代码,需要执行1 + 10次sql

clients = Client.all(:limit => 10) clients.each do |client|

    puts client.address.postcode

end


优化:

clients = Client.all(:include => :address, :limit => 10)

clients.each do |client|

    puts client.address.postcode

end


一次性载入post的所有分类和评论

Post.all :include => [:category, :comments]


载入category为1的所有post和cooment及tag

Category.find 1, :include => {:posts => [{:comments => :guest}, :tags]}


6、动态查询

Client.find_by_name("Ryan")

Client.find_all_by_name("Ryan")

#!方法,没有记录时抛出ActiveRecord::RecordNotFound异常

Client.find_by_name!("Ryan")

#查询多个字段

Client.find_by_name_and_locked("Ryan", true)

#查询不到时就创建并保存

Client.find_or_create_by_name(params[:name])

#查询不到时创建一个实例,但不保存

Client.find_or_initialize_by_name('Ryan')


7、find_by_sql

Client.find_by_sql("SELECT * FROM clients INNER JOIN orders ON clients.id = orders.client_id ORDER clients.created_at desc")


8、select_all

和find_by_sql类似,但不会用model实例化返回记录,你会得到一个hash数组

Client.connection.select_all("SELECT * FROM clients WHERE id = '1'")


9、判断记录是否存在

#通过id来查询

Client.exists?(1)

Client.exists?(1, 2, 3)

#or

Client.exists?([1,2,3])

#通过其他条件来查询

Client.exists?(:conditions => "first_name = 'Ryan'")

#没有参数时,则:表是空的 ? false : true

Client.exists?


10、计算

#求结果集条数

Client.count(:conditons => "first_name = 'Ryan'")

#求某个字段非空白的条数

Client.count(:age)

#平均值

Client.average("orders_count")

#求最小值

Client.minimum("age")

#求最大值

Client.maximum("age")

#求和

Client.sum("orders_count")

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