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Django ORM

时间:2019-12-29 22:19:27      阅读:76      评论:0      收藏:0      [点我收藏+]

ORM性能

  1. 查指定字段,使用values()

  2. select_related 支持 一对一 多对一 # 连表

  3. prefetch_related 支持 多对一 多对多 # 子查询

  4. only 只取某些字段 defer 排除某些字段

多个数据库

配置

DATABASES = {
    default: {
        ENGINE: django.db.backends.sqlite3,
        NAME: os.path.join(BASE_DIR, db.sqlite3),
    },
    db2: {
        ENGINE: django.db.backends.sqlite3,
        NAME: os.path.join(BASE_DIR, db2.sqlite3),
    },

}

 

执行迁移命令

python36 manage.py migrate --database db2

 

读写分离

手动

models.Student.objects.all().using(db2)
obj = models.Student.objects.filter(pk=1).using(db2).update(name=duige)


obj = all_students.first()
obj.name =duigelaji
obj.save(using=db2)

自动的方法
class Router():

    def db_for_read(self, model, **kwargs):
        print(model)
        print(kwargs)
        return default

    def db_for_write(self, model, **kwargs):
        print(model)
        print(kwargs)
        return db2
        
settings的配置
DATABASE_ROUTERS = [router.Router]

一主多从

import random


class Router():

    def db_for_read(self, model, **kwargs):
        return random.choice([db1, db2, db3])

    def db_for_write(self, model, **kwargs):
        print(model)
        print(kwargs)
        return default

分库分表

class Router():

    def db_for_read(self, model, **kwargs):
        app_name = model._meta.app_label

        if app_name == app01:
            return db1

        elif app_name == app02:
            return db2

    def db_for_write(self, model, **kwargs):
        app_name = model._meta.app_label

        if app_name == app01:
            return db1

        elif app_name == app02:
            return db2

 

ORM之原生SQL

extra

# extra
# 在QuerySet的基础上继续执行子语句
# extra(self, select=None, where=None, params=None, tables=None, order_by=None, select_params=None)
 
# select和select_params是一组,where和params是一组,tables用来设置from哪个表
# Entry.objects.extra(select={‘new_id‘: "select col from sometable where othercol > %s"}, select_params=(1,))
# Entry.objects.extra(where=[‘headline=%s‘], params=[‘Lennon‘])
# Entry.objects.extra(where=["foo=‘a‘ OR bar = ‘a‘", "baz = ‘a‘"])
# Entry.objects.extra(select={‘new_id‘: "select id from tb where id > %s"}, select_params=(1,), order_by=[‘-nid‘])
 

例子

models.UserInfo.objects.extra(
                    select={newid:select count(1) from app01_usertype where id>%s},
                    select_params=[1,],
                    where = [age>%s],
                    params=[18,],
                    order_by=[-age],
                    tables=[app01_usertype]
                )
                """
                select
                    app01_userinfo.id,
                    (select count(1) from app01_usertype where id>1) as newid
                from app01_userinfo,app01_usertype
                where
                    app01_userinfo.age > 18
                order by
                    app01_userinfo.age desc
                """
 
 
# 执行原生SQL
# 更高灵活度的方式执行原生SQL语句
# 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()

 

QuerySet方法大全

技术分享图片
##################################################################
# PUBLIC METHODS THAT ALTER ATTRIBUTES AND RETURN A NEW QUERYSET #
##################################################################
 
def all(self)
    # 获取所有的数据对象
 
def filter(self, *args, **kwargs)
    # 条件查询
    # 条件可以是:参数,字典,Q
 
def exclude(self, *args, **kwargs)
    # 条件查询
    # 条件可以是:参数,字典,Q
 
def select_related(self, *fields)
    性能相关:表之间进行join连表操作,一次性获取关联的数据。
 
    总结:
    1. select_related主要针一对一和多对一关系进行优化。
    2. select_related使用SQL的JOIN语句进行优化,通过减少SQL查询的次数来进行优化、提高性能。
 
def prefetch_related(self, *lookups)
    性能相关:多表连表操作时速度会慢,使用其执行多次SQL查询在Python代码中实现连表操作。
 
    总结:
    1. 对于多对多字段(ManyToManyField)和一对多字段,可以使用prefetch_related()来进行优化。
    2. prefetch_related()的优化方式是分别查询每个表,然后用Python处理他们之间的关系。
 
def annotate(self, *args, **kwargs)
    # 用于实现聚合group by查询
 
    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)
    # 用于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进行去重
 
def order_by(self, *field_names)
    # 用于排序
    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)
    # 构造额外的查询条件或者映射,如:子查询
 
    Entry.objects.extra(select={new_id: "select col from sometable where othercol > %s"}, select_params=(1,))
    Entry.objects.extra(where=[headline=%s], params=[Lennon])
    Entry.objects.extra(where=["foo=‘a‘ OR bar = ‘a‘", "baz = ‘a‘"])
    Entry.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:如果存在order_by,reverse则是倒序,如果多个排序则一一倒序
 
 
 def defer(self, *fields):
    models.UserInfo.objects.defer(username,id)
    或
    models.UserInfo.objects.filter(...).defer(username,id)
    #映射中排除某列数据
 
 def only(self, *fields):
    #仅取某个表中的数据
     models.UserInfo.objects.only(username,id)
     或
     models.UserInfo.objects.filter(...).only(username,id)
 
 def using(self, alias):
     指定使用的数据库,参数为别名(setting中的设置)
 
 
##################################################
# PUBLIC METHODS THAT RETURN A QUERYSET SUBCLASS #
##################################################
 
def raw(self, raw_query, params=None, translations=None, using=None):
    # 执行原生SQL
    models.UserInfo.objects.raw(select * from userinfo)
 
    # 如果SQL是其他表时,必须将名字设置为当前UserInfo对象的主键列名
    models.UserInfo.objects.raw(select id as nid from 其他表)
 
    # 为原生SQL设置参数
    models.UserInfo.objects.raw(select id as nid from userinfo where nid>%s, params=[12,])
 
    # 将获取的到列名转换为指定列名
    name_map = {first: first_name, last: last_name, bd: birth_date, pk: id}
    Person.objects.raw(SELECT * FROM some_other_table, translations=name_map)
 
    # 指定数据库
    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):
    # 获取每行数据为字典格式
 
def values_list(self, *fields, **kwargs):
    # 获取每行数据为元祖
 
def dates(self, field_name, kind, order=ASC):
    # 根据时间进行某一部分进行去重查找并截取指定内容
    # kind只能是:"year"(年), "month"(年-月), "day"(年-月-日)
    # order只能是:"ASC"  "DESC"
    # 并获取转换后的时间
        - 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):
    # 根据时间进行某一部分进行去重查找并截取指定内容,将时间转换为指定时区时间
    # kind只能是 "year", "month", "day", "hour", "minute", "second"
    # order只能是:"ASC"  "DESC"
    # tzinfo时区对象
    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对象
 
 
####################################
# METHODS THAT DO DATABASE QUERIES #
####################################
 
def aggregate(self, *args, **kwargs):
   # 聚合函数,获取字典类型聚合结果
   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):
   # 获取个数
 
def get(self, *args, **kwargs):
   # 获取单个对象
 
def create(self, **kwargs):
   # 创建对象
 
def bulk_create(self, objs, batch_size=None):
    # 批量插入
    # batch_size表示一次插入的个数
    objs = [
        models.DDD(name=r11),
        models.DDD(name=r22)
    ]
    models.DDD.objects.bulk_create(objs, 10)
 
def get_or_create(self, defaults=None, **kwargs):
    # 如果存在,则获取,否则,创建
    # defaults 指定创建时,其他字段的值
    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):
    # 如果存在,则更新,否则,创建
    # defaults 指定创建时或更新时的其他字段
    obj, created = models.UserInfo.objects.update_or_create(username=root1, defaults={email: 1111111,u_id: 2, t_id: 1})
 
def first(self):
   # 获取第一个
 
def last(self):
   # 获取最后一个
 
def in_bulk(self, id_list=None):
   # 根据主键ID进行查找
   id_list = [11,21,31]
   models.DDD.objects.in_bulk(id_list)
 
def delete(self):
   # 删除
 
def update(self, **kwargs):
    # 更新
 
def exists(self):
   # 是否有结果
View Code

 

在Python脚本中调用Django环境

import os
 
if __name__ == __main__:
    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "BMS.settings")
    import django
    django.setup()
 
    from app01 import models
 
    books = models.Book.objects.all()
    print(books)

 

 

 

 

 

Django ORM

原文:https://www.cnblogs.com/Pythonzrq/p/12116715.html

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