ORM操做

ORM

orm的關係映射

  類----->表

  對象--->行

  方法---->字段

操做表

  單表

# 單表 
class UserInfo(models.Model):
    username = models.CharField(verbose_name='用戶名', max_length=32)
單表

  ForeignKey(外鍵)

# 設置外鍵
class Department(models.Model):
    title = models.CharField(verbose_name='標題', max_length=32)


class UserInfo(models.Model):
    username = models.CharField(verbose_name='用戶名', max_length=32)
    depart = models.ForeignKey(verbose_name='所屬部門', to="Department")


"""
ForeignKey的參數
    on_delete:
        models.CASCADE,刪除部門,則將改部門下的員工所有刪除。 + 代碼判斷
        models.DO_NOTHING,刪除部門,引起錯誤IntegrityError
        models.PROTECT,刪除部門,引起錯誤ProtectedError
        models.SET_NULL,刪除部門,則將改部門下的員工所屬部門ID設置爲空。(將FK字段設置爲null=True)
        models.SET_DEFAULT,刪除部門,則將改部門下的員工所屬部門ID設置默認值。(將FK字段設置爲default=2)
        models.SET,刪除部門,則將執行set對應的函數,函數的返回值就是要給改部門下員工設置的新的部門ID。
    方法:
        models.CASCADE, 刪除邏輯時,經過代碼判斷當前 「部門」 下是否有用戶。
        models.SET_NULL,穩妥。
        溝通以後在肯定。
    
    db_constraint
        默認是True,設置爲False就不對關聯的外鍵進行校驗了,(無論他是否存在)
        
    limit_choices_to:能夠對選項進行篩選
        bzr = models.ForeignKey(to=User,limit_choices_to={'depart__title':'教質部','id__gt':9})
        teacher = models.ForeignKey(to=User,limit_choices_to={'depart__title':'Python學院'})

    related_name:反向查找的字段
    
    to_field:指定關聯對方的字段,默認關聯對方id
    
    related_query_name:和related_name相似,可是沒有他好用

    parent_link:沒有用過
           


"""
外鍵示例

   ManyToManyField(多對多)

"""
1.自動建立第三張表(場景:關係表只有boy和girl的id):
    class Boy(models.Model):
        name = models.CharField(max_length=32)
    
    class Girl(models.Model):
        name = models.CharField(max_length=32)
        
        boy = models.ManyToManyField('Boy')
        
手動建立第三張表(場景:除了boy和girl的id之外,還須要其餘字段):
    class Boy(models.Model):
        name = models.CharField(max_length=32)
    
    class Girl(models.Model):
        name = models.CharField(max_length=32)
        
    class Boy2Girl(models.Model):
        b = models.ForeignKey(to='Boy')
        g = models.ForeignKey(to='Girl')
        
        class Meta:
            unique_together = (    
                ("b", "g"),
            ) 
            這裏設置的是設置聯合惟一



"""
多對多

    OneTwoOne(一對一)

"""
OneToOneField:一對一
    應用場景:
        博客園:當你註冊以後若是不申請寫博客,那麼你只能看博客和寫評論,
                而不能寫博客,可是當你申請以後,博客園至關於給你有建立了一張表,
                而後和你的帳號進行一對一關聯,這裏就用到了
"""
一對一(不經常使用)

操做數據

  增刪改查

class Department(models.Model):
    title = models.CharField(verbose_name='標題', max_length=32)


class UserInfo(models.Model):
    name = models.CharField(verbose_name='員工名稱', max_length=32)
    depart = models.ForeignKey(to='Department')

    roles = models.ManyToManyField(to="Role")


class Role(models.Model):
    title = models.CharField(verbose_name='標題', max_length=32)

########### 添加  #########

# 添加普通字段
Department.objects.create(title='銷售部')
Department.objects.create(**{'title':'銷售部'})

# 添加外鍵
UserInfo.objects.create(name='姓名',depart=Department.objects.get(id=1))
UserInfo.objects.create(name='姓名',depart_id=1)

# 添加多對多
obj = UserInfo.objects.filter(name='姓名').first()
obj.roles.add([1,2,3])

##########  刪除  ###########
obj.delete()

########### 修改 #######

# questset格式的
UserInfo.objects.filter(id__gt=5).update(name='xx')

# 對象
obj = UserInfo.objects.filter(name='姓名').first()
obj.roles.set([2, 3, 6, 7])

#############  查詢  ########

# 查詢到所有數據
UserInfo.objects.all()
# 這裏返回的是一個queryset格式,裏面都是字典
UserInfo.objects.values('id', 'name')
# 返回的是一個個的元祖
UserInfo.objects.values_list('id', 'name')
增刪改查基本操做

  經常使用操做

有時間寫sql

  高級操做

"""
F
Q
only:把括號裏面的數據所有取出
    # Queryset[obj,obj,obj] 
    modes.UserInfo.objects.all().only('id','name')             # select id,name from userinfo 
    # Queryset[{},{},{}]
    modes.UserInfo.objects.all().values('id','name')         # select id,name from userinfo 
    # Queryset[(),(),()]
    modes.UserInfo.objects.all().values_list('id','name')   # select id,name from userinfo 
    
    錯錯錯:
        result = modes.UserInfo.objects.all().only('id','name') 
        for obj in result:
            print(obj.id,obj.name,obj.age)
    緣由:若是取的是沒有取出的數據,你對象點也能把他取出來,可是那有至關於又去數據庫查詢了一下,因此最好使用only
    
defer:把除了括號裏的字段之外所有取出來
    # Queryset[obj,obj,obj]
    modes.UserInfo.objects.all().defer('name')    # select id,age from userinfo 

select_related:幫助開發者進行主動連表查詢
    # SELECT "app01_user"."id", "app01_user"."name", "app01_user"."depart_id" FROM "app01_user"
    result = models.User.objects.all()
    
    # SELECT "app01_user"."id", "app01_user"."name", "app01_user"."depart_id", "app01_department"."id", "app01_department"."title" FROM "app01_user" INNER JOIN "app01_department" ON ("app01_user"."depart_id" = "app01_department"."id")
    result = models.User.objects.all().select_related('depart')
    
    注意:若是之後想要獲取部門名稱(跨表),必定要使用select_related進行主動跨表,這樣在最開始獲取數據時,將當前表和關聯表的全部數據都獲取到。
    
    
    切記:錯錯錯 
        result = models.User.objects.all()
        for row in result:
            print(row.name,row.depart_id,row.depart.title) # row.depart.title就會讓性能大大下降

prefetch_related
    # 先執行SQL: select * from user where id<100 
    # 在執行SQL: select * from depart where id in [11,20]
    result = models.User.objects.filter(id__lt=100).prefetch_related('depart')
    
對比:
    方式一:
            result = models.User.objects.all() # 1次單表
            
            for row in result:
                print(row.id,row.name,row.depart.title) # 100次單表
            
        方式二(小於4張表的連表操做): ***
            
            result = models.User.objects.all().select_related('depart') # 1次連表查詢
            for row in result:
                print(row.id,row.name,row.depart.title)
            
            
        方式三(大於4張表連表操做):
            
            # 先執行SQL: select * from user;
            # 在執行SQL: select * from depart where id in [11,20]
            result = models.User.objects.all().prefetch_related('depart') # 2次單表查詢
            for row in result:
                print(row.id,row.name,row.depart.title)





"""
高級操做

  執行原生sql

第一種:connection(最完全)
    執行原生SQL,場景:複雜SQL語句
    from django.db import connection, connections # 引入模塊
    # cursor = connections['db1'].cursor() :這種是若是有多個數據庫能夠取其中一個
    cursor = connection.cursor()  :這種是取默認的
    cursor.execute("""SELECT * from auth_user where id = %s""", [1,]) # 執行寫的sql語句
    
    # row = cursor.fetchall() # 獲取符合條件的全部數據,models.User.objects.all()
    row = cursor.fetchone() # 獲取符合條件的第一條數據,models.User.objects.all().first()

第二種:raw
    def raw(self, raw_query, params=None, translations=None, using=None):
    # 執行原生SQL
    models.UserInfo.objects.raw('select * from userinfo where id > 10 ')

    # 若是SQL是其餘表時,必須將名字設置爲當前UserInfo對象的主鍵列名
    models.UserInfo.objects.raw('select id as nid from 其餘表')

    # 爲原生SQL設置參數
    models.UserInfo.objects.raw('select id as nid from userinfo where nid>%s', params=[12,])

    # 將獲取的到列名轉換爲指定列名
    name_map = {'first': 'first_name', 'last': 'last_name', 'bd': 'birth_date', 'pk': 'id'}
    Person.objects.raw('SELECT * FROM some_other_table', translations=name_map)

    # 指定數據庫
    models.UserInfo.objects.raw('select * from userinfo', using="default")

第三種:    extra        
            
def extra(self, select=None, where=None, params=None, tables=None, order_by=None, select_params=None)
    # 構造額外的查詢條件或者映射,如:子查詢
    
    UserInfo.objects.extra(where=['headline ? %s'], params=['Lennon'])
    # select * from userinfo where headline > 'Lennon'
    
    UserInfo.objects.extra(where=["foo='a' OR bar = 'a'", "baz = 'a'"])
    # select * from userinfo where (foo='a' OR bar = 'a') and baz = 'a'
    
    UserInfo.objects.extra(select={'new_id': "select col from sometable where othercol > %s"}, select_params=(1,))
    """
    select 
        id,
        name,
        (select col from sometable where othercol > 1) as new_id
    """
    UserInfo.objects.extra(select={'new_id': "select id from tb where id > %s"}, select_params=(1,), order_by=['-nid'])
3種執行原生sql語句的方法

  全部ORM操做

全部ORM操做:
    ##################################################################
    # PUBLIC METHODS THAT ALTER ATTRIBUTES AND RETURN A NEW QUERYSET #
    ##################################################################

    def all(self)
        # 獲取全部的數據對象

    def filter(self, *args, **kwargs)
        # 條件查詢
        # 條件能夠是:參數,字典,Q

    def exclude(self, *args, **kwargs)
        # 條件查詢
        # 條件能夠是:參數,字典,Q

    def select_related(self, *fields)
         性能相關:表之間進行join連表操做,一次性獲取關聯的數據。
         model.tb.objects.all().select_related()
         model.tb.objects.all().select_related('外鍵字段')
         model.tb.objects.all().select_related('外鍵字段__外鍵字段')

    def prefetch_related(self, *lookups)
        性能相關:多表連表操做時速度會慢,使用其執行屢次SQL查詢在Python代碼中實現連表操做。
                # 獲取全部用戶表
                # 獲取用戶類型表where id in (用戶表中的查到的全部用戶ID)
                models.UserInfo.objects.prefetch_related('外鍵字段')



                from django.db.models import Count, Case, When, IntegerField
                Article.objects.annotate(
                    numviews=Count(Case(
                        When(readership__what_time__lt=treshold, then=1),
                        output_field=CharField(),
                    ))
                )

                students = Student.objects.all().annotate(num_excused_absences=models.Sum(
                    models.Case(
                        models.When(absence__type='Excused', then=1),
                    default=0,
                    output_field=models.IntegerField()
                )))

    def annotate(self, *args, **kwargs)
        # 用於實現聚合group by查詢

        from django.db.models import Count, Avg, Max, Min, Sum

        v = models.UserInfo.objects.values('u_id').annotate(uid=Count('u_id'))
        # SELECT u_id, COUNT(ui) AS `uid` FROM UserInfo GROUP BY u_id

        v = models.UserInfo.objects.values('u_id').annotate(uid=Count('u_id')).filter(uid__gt=1)
        # SELECT u_id, COUNT(ui_id) AS `uid` FROM UserInfo GROUP BY u_id having count(u_id) > 1

        v = models.UserInfo.objects.values('u_id').annotate(uid=Count('u_id',distinct=True)).filter(uid__gt=1)
        # SELECT u_id, COUNT( DISTINCT ui_id) AS `uid` FROM UserInfo GROUP BY u_id having count(u_id) > 1

    def distinct(self, *field_names)
        # 用於distinct去重
        models.UserInfo.objects.values('nid').distinct()
        # select distinct nid from userinfo

        注:只有在PostgreSQL中才能使用distinct進行去重

    def order_by(self, *field_names)
        # 用於排序
        models.UserInfo.objects.all().order_by('-id','age')

    def extra(self, select=None, where=None, params=None, tables=None, order_by=None, select_params=None)
        # 構造額外的查詢條件或者映射,如:子查詢
        
        UserInfo.objects.extra(where=['headline ? %s'], params=['Lennon'])
        # select * from userinfo where headline > 'Lennon'
        
        UserInfo.objects.extra(where=["foo='a' OR bar = 'a'", "baz = 'a'"])
        # select * from userinfo where (foo='a' OR bar = 'a') and baz = 'a'
        
        UserInfo.objects.extra(select={'new_id': "select col from sometable where othercol > %s"}, select_params=(1,))
            """
            select 
                id,
                name,
                (select col from sometable where othercol > 1) as new_id
            """
        UserInfo.objects.extra(select={'new_id': "select id from tb where id > %s"}, select_params=(1,), order_by=['-nid'])

     def reverse(self):
        # 倒序
        models.UserInfo.objects.all().order_by('-nid').reverse()
        # 注:若是存在order_by,reverse則是倒序,若是多個排序則一一倒序


     def defer(self, *fields):
        models.UserInfo.objects.defer('username','id')
        或
        models.UserInfo.objects.filter(...).defer('username','id')
        #映射中排除某列數據

     def only(self, *fields):
        #僅取某個表中的數據
         models.UserInfo.objects.only('username','id')
         或
         models.UserInfo.objects.filter(...).only('username','id')

     def using(self, alias):
         指定使用的數據庫,參數爲別名(setting中的設置)
         
         models.UserInfo.objects.filter(id=5).using('db1')


    ##################################################
    # PUBLIC METHODS THAT RETURN A QUERYSET SUBCLASS #
    ##################################################

    def raw(self, raw_query, params=None, translations=None, using=None):
        # 執行原生SQL
        models.UserInfo.objects.raw('select * from userinfo where id > 10 ')

        # 若是SQL是其餘表時,必須將名字設置爲當前UserInfo對象的主鍵列名
        models.UserInfo.objects.raw('select id as nid from 其餘表')

        # 爲原生SQL設置參數
        models.UserInfo.objects.raw('select id as nid from userinfo where nid>%s', params=[12,])

        # 將獲取的到列名轉換爲指定列名
        name_map = {'first': 'first_name', 'last': 'last_name', 'bd': 'birth_date', 'pk': 'id'}
        Person.objects.raw('SELECT * FROM some_other_table', translations=name_map)

        # 指定數據庫
        models.UserInfo.objects.raw('select * from userinfo', using="default")

    ################### 原生SQL ###################
    from django.db import connection, connections
    cursor = connection.cursor()  # cursor = connections['default'].cursor()
    cursor.execute("""SELECT * from auth_user where id = %s""", [1])
    row = cursor.fetchone() # fetchall()/fetchmany(..)


    def values(self, *fields):
        # 獲取每行數據爲字典格式

    def values_list(self, *fields, **kwargs):
        # 獲取每行數據爲元祖

    def dates(self, field_name, kind, order='ASC'):
        # 根據時間進行某一部分進行去重查找並截取指定內容
        # kind只能是:"year"(年), "month"(年-月), "day"(年-月-日)
        # order只能是:"ASC"  "DESC"
        # 並獲取轉換後的時間
            - year : 年-01-01
            - month: 年-月-01
            - day  : 年-月-日

        models.DatePlus.objects.dates('ctime','day','DESC')

    def datetimes(self, field_name, kind, order='ASC', tzinfo=None):
        # 根據時間進行某一部分進行去重查找並截取指定內容,將時間轉換爲指定時區時間
        # kind只能是 "year", "month", "day", "hour", "minute", "second"
        # order只能是:"ASC"  "DESC"
        # tzinfo時區對象
        models.DDD.objects.datetimes('ctime','hour',tzinfo=pytz.UTC)
        models.DDD.objects.datetimes('ctime','hour',tzinfo=pytz.timezone('Asia/Shanghai'))

        """
        pip3 install pytz
        import pytz
        pytz.all_timezones
        pytz.timezone(‘Asia/Shanghai’)
        """

    def none(self):
        # 空QuerySet對象


    ####################################
    # METHODS THAT DO DATABASE QUERIES #
    ####################################

    def aggregate(self, *args, **kwargs):
       # 聚合函數,獲取字典類型聚合結果
       from django.db.models import Count, Avg, Max, Min, Sum
       result = models.UserInfo.objects.aggregate(k=Count('u_id', distinct=True), n=Count('nid'))
       ===> {'k': 3, 'n': 4}

    def count(self):
       # 獲取個數

    def get(self, *args, **kwargs):
       # 獲取單個對象

    def create(self, **kwargs):
       # 建立對象

    def bulk_create(self, objs, batch_size=None):
        # 批量插入
        # batch_size表示一次插入的個數
        objs = [
            models.DDD(name='r11'),
            models.DDD(name='r22')
        ]
        models.DDD.objects.bulk_create(objs, 10)

    def get_or_create(self, defaults=None, **kwargs):
        # 若是存在,則獲取,不然,建立
        # defaults 指定建立時,其餘字段的值
        obj, created = models.UserInfo.objects.get_or_create(username='root1', defaults={'email': '1111111','u_id': 2, 't_id': 2})

    def update_or_create(self, defaults=None, **kwargs):
        # 若是存在,則更新,不然,建立
        # defaults 指定建立時或更新時的其餘字段
        obj, created = models.UserInfo.objects.update_or_create(username='root1', defaults={'email': '1111111','u_id': 2, 't_id': 1})

    def first(self):
       # 獲取第一個

    def last(self):
       # 獲取最後一個

    def in_bulk(self, id_list=None):
       # 根據主鍵ID進行查找
       id_list = [11,21,31]
       models.DDD.objects.in_bulk(id_list)
       
       models.User.objects.filter(id__in=[11,21,31])

    def delete(self):
       # 刪除

    def update(self, **kwargs):
        # 更新

    def exists(self):
       # 是否有結果
        pass
orm的全部操做
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