title: “ django复杂查询\t\t”
tags:
- django
url: 1213.html
id: 1213
categories: - 后端
date: 2018-06-18 13:27:09
介绍
django模型的objects对象中有filter、get等方法,其中可以“字段=XXX”的方式填入参数,最终构成AND关系的SQL Where子句,若需要OR或多种混合的复杂搜索需要使用Q对象。 除此以为,django还支持利用“”方式实现查找条件关键字、方式的多表连接查询。 所有查询相关的官方文档地址:查询简介、查询集完整API
查找关键字
exact 精确等于 like ‘aaa’
iexact 精确等于 忽略大小写 ilike ‘aaa’
contains 包含 like ‘%aaa%’
icontains 包含 忽略大小写 ilike ‘%aaa%’,但是对于sqlite来说,contains的作用效果等同于icontains。
gt 大于
gte 大于等于
lt 小于
lte 小于等于
in 存在于一个list范围内
startswith 以…开头
istartswith 以…开头 忽略大小写
endswith 以…结尾
iendswith 以…结尾,忽略大小写
range 在…范围内
year 日期字段的年份
month 日期字段的月份
day 日期字段的日
isnull=True/False
范例:filter(name__contains=’techie’)等效于WHERE name like ‘%techie%’
连表查询
class A(models.Model):
name = models.CharField()
class B(models.Model):
aa = models.ForeignKey(A)
B.objects.filter(aanamecontains=’test’)
通过B的外键找到A中name字段包含test内容的数据
class A(models.Model):
name = models.CharField()
class B(models.Model):
aa = models.ForeignKey(A,related_name=”FAN”)
bb = models.CharField()
A.objects.filter(FAN__bb=’XXXX’)
反向查询,查询出所有(B.aa=A且B.bb=XXXX)的A实例
Q对象使用
官方文档:https://docs.djangoproject.com/en/2.0/topics/db/queries/#complex-lookups-with-q-objects 引用django.db.models.Q Q对象与SQL语句对应关系如下:
Q(question=’Who’) | Q(question=’What’)
WHERE question = ‘Who’ OR question = ‘What’
Model.objects.get(
Q(question=’Who’),
Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6))
)
SELECT * from model WHERE question = ‘Who’ AND (pub_date = ‘2005-05-02’ OR pub_date = ‘2005-05-06’)
如果有比较复杂的关系,可以像使用容器一样构造Q对象: 单一类型条件查询:
q1 = Q()
q1.connector = ‘OR’
q1.children.append((‘id’, 1))
q1.children.append((‘id’, 2))
q1.children.append((‘id’, 3))
models.Tb1.objects.filter(q1)
符合类型条件查询:
con = Q()
q1 = Q()
q1.connector = ‘OR’
q1.children.append((‘id’, 1))
q1.children.append((‘id’, 2))
q1.children.append((‘id’, 3))
q2 = Q()
q2.connector = ‘OR’
q2.children.append((‘status’, ‘在线’))
con.add(q1, ‘AND’)
con.add(q2, ‘AND’)
models.Tb1.objects.filter(con)
Q对象官方使用范例
https://github.com/django/django/blob/master/tests/or_lookups/tests.py
from datetime import datetime
from operator import attrgetter
from django.db.models import Q
from django.test import TestCase
from .models import Article
class OrLookupsTests(TestCase):
def setUp(self):
self.a1 = Article.objects.create(
headline='Hello', pub_date=datetime(2005, 11, 27)
).pk
self.a2 = Article.objects.create(
headline='Goodbye', pub_date=datetime(2005, 11, 28)
).pk
self.a3 = Article.objects.create(
headline='Hello and goodbye', pub_date=datetime(2005, 11, 29)
).pk
def test\_filter\_or(self):
self.assertQuerysetEqual(
(
Article.objects.filter(headline__startswith='Hello') |
Article.objects.filter(headline__startswith='Goodbye')
), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline")
)
self.assertQuerysetEqual(
Article.objects.filter(headline\_\_contains='Hello') | Article.objects.filter(headline\_\_contains='bye'), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline")
)
self.assertQuerysetEqual(
Article.objects.filter(headline\_\_iexact='Hello') | Article.objects.filter(headline\_\_contains='ood'), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline")
)
self.assertQuerysetEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello') | Q(headline\_\_startswith='Goodbye')), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline")
)
def test_stages(self):
# You can shorten this syntax with code like the following, which is
# especially useful if building the query in stages:
articles = Article.objects.all()
self.assertQuerysetEqual(
articles.filter(headline\_\_startswith='Hello') & articles.filter(headline\_\_startswith='Goodbye'),
\[\]
)
self.assertQuerysetEqual(
articles.filter(headline\_\_startswith='Hello') & articles.filter(headline\_\_contains='bye'), \[
'Hello and goodbye'
\],
attrgetter("headline")
)
def test\_pk\_q(self):
self.assertQuerysetEqual(
Article.objects.filter(Q(pk=self.a1) | Q(pk=self.a2)), \[
'Hello',
'Goodbye'
\],
attrgetter("headline")
)
self.assertQuerysetEqual(
Article.objects.filter(Q(pk=self.a1) | Q(pk=self.a2) | Q(pk=self.a3)), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline"),
)
def test\_pk\_in(self):
self.assertQuerysetEqual(
Article.objects.filter(pk__in=\[self.a1, self.a2, self.a3\]), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline"),
)
self.assertQuerysetEqual(
Article.objects.filter(pk__in=(self.a1, self.a2, self.a3)), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline"),
)
self.assertQuerysetEqual(
Article.objects.filter(pk__in=\[self.a1, self.a2, self.a3, 40000\]), \[
'Hello',
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline"),
)
def test\_q\_repr(self):
or_expr = Q(baz=Article(headline="Fo?"))
self.assertEqual(repr(or_expr), "<Q: (AND: ('baz', <Article: Fo?>))>")
negated_or = ~Q(baz=Article(headline="Fo?"))
self.assertEqual(repr(negated_or), "<Q: (NOT (AND: ('baz', <Article: Fo?>)))>")
def test\_q\_negated(self):
# Q objects can be negated
self.assertQuerysetEqual(
Article.objects.filter(Q(pk=self.a1) | ~Q(pk=self.a2)), \[
'Hello',
'Hello and goodbye'
\],
attrgetter("headline")
)
self.assertQuerysetEqual(
Article.objects.filter(~Q(pk=self.a1) & ~Q(pk=self.a2)), \[
'Hello and goodbye'
\],
attrgetter("headline"),
)
# This allows for more complex queries than filter() and exclude()
# alone would allow
self.assertQuerysetEqual(
Article.objects.filter(Q(pk=self.a1) & (~Q(pk=self.a2) | Q(pk=self.a3))), \[
'Hello'
\],
attrgetter("headline"),
)
def test\_complex\_filter(self):
# The 'complex_filter' method supports framework features such as
# 'limit\_choices\_to' which normally take a single dictionary of lookup
# arguments but need to support arbitrary queries via Q objects too.
self.assertQuerysetEqual(
Article.objects.complex_filter({'pk': self.a1}), \[
'Hello'
\],
attrgetter("headline"),
)
self.assertQuerysetEqual(
Article.objects.complex_filter(Q(pk=self.a1) | Q(pk=self.a2)), \[
'Hello',
'Goodbye'
\],
attrgetter("headline"),
)
def test\_empty\_in(self):
# Passing "in" an empty list returns no results ...
self.assertQuerysetEqual(
Article.objects.filter(pk__in=\[\]),
\[\]
)
# ... but can return results if we OR it with another query.
self.assertQuerysetEqual(
Article.objects.filter(Q(pk\_\_in=\[\]) | Q(headline\_\_icontains='goodbye')), \[
'Goodbye',
'Hello and goodbye'
\],
attrgetter("headline"),
)
def test\_q\_and(self):
# Q arg objects are ANDed
self.assertQuerysetEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello'), Q(headline\_\_contains='bye')), \[
'Hello and goodbye'
\],
attrgetter("headline")
)
# Q arg AND order is irrelevant
self.assertQuerysetEqual(
Article.objects.filter(Q(headline\_\_contains='bye'), headline\_\_startswith='Hello'), \[
'Hello and goodbye'
\],
attrgetter("headline"),
)
self.assertQuerysetEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello') & Q(headline\_\_startswith='Goodbye')),
\[\]
)
def test\_q\_exclude(self):
self.assertQuerysetEqual(
Article.objects.exclude(Q(headline__startswith='Hello')), \[
'Goodbye'
\],
attrgetter("headline")
)
def test\_other\_arg_queries(self):
# Try some arg queries with operations other than filter.
self.assertEqual(
Article.objects.get(Q(headline\_\_startswith='Hello'), Q(headline\_\_contains='bye')).headline,
'Hello and goodbye'
)
self.assertEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello') | Q(headline\_\_contains='bye')).count(),
3
)
self.assertSequenceEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello'), Q(headline\_\_contains='bye')).values(), \[
{"headline": "Hello and goodbye", "id": self.a3, "pub_date": datetime(2005, 11, 29)},
\],
)
self.assertEqual(
Article.objects.filter(Q(headline\_\_startswith='Hello')).in\_bulk(\[self.a1, self.a2\]),
{self.a1: Article.objects.get(pk=self.a1)}
)
F对象使用
官方文档:https://docs.djangoproject.com/en/2.0/ref/models/expressions/#f-expressions 有关聚合、分组、F查询可看博客:django-聚合、分组、F查询和Q查询、总结