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麦子学院  2016-10-24 15:35

Django学习之数据库的查询

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web应用需要经常向数据库查询相关的数据,Django语言也不例外。了解Django中的数据查询操作,对于优化应用的性能,有着重要的意义。

 

基础信息

 

Django中,model通过Manager获取QuerySet,每个model至少有objects这个 Manager 

 

QuerySet 可以有一个或多个 filter , filter 根据传入的参数返回 QuerySet 结果。

 

SQL来对比, QuerySet 相当于 SELECT , filter 相当于 WHERE 或者是 LIMIT

 

每次添加一条filter,会获得一个新的 QuerySet 

 

 

思路

 

利用Django的测试框架,构造测试数据,查看Django构建的SQL,以及查询到的内容。

 

设计表结构

 

 

schema

 

创建model

 

创建测试app,并加入settings.py APPS

 

python manage.py startapp learning

 

INSTALLED_APPS = [

     ...

    'learning',

    ...

]

创建对应的model

 

class Student(models.Model):

    name = models.CharField(max_length=255, help_text="学生姓名")

    create_time = models.DateTimeField(auto_now_add=True, help_text="创建时间")

    def __str__(self):

        return self.name

 

 

class Teacher(models.Model):

    name = models.CharField(max_length=255, help_text="老师姓名")

    create_time = models.DateTimeField(auto_now_add=True, help_text="创建时间")

    def __str__(self):

        return self.name

 

 

class Classe(models.Model):

    name = models.CharField(max_length=255, help_text="班级名称")

    teacher = models.ForeignKey(Teacher, help_text="老师")

    create_time = models.DateTimeField(auto_now_add=True, help_text="创建时间")

    def __str__(self):

        return self.name

 

 

class ClasseStudent(models.Model):

    student = models.ForeignKey(Student)

    classe = models.ForeignKey(Classe)

    create_time = models.DateTimeField(auto_now_add=True, help_text="创建时间")

测试数据

 

使用factory-boy来辅助构造测试数据,代码如下

 

class TeacherFactory(factory.DjangoModelFactory):

    class Meta:

        model = Teacher

 

    name = factory.Sequence(lambda n: "Teacher #%s" % n)

 

class StudentFactory(factory.DjangoModelFactory):

    class Meta:

        model = Student

 

    name = factory.Sequence(lambda n: "Student #%s" % n)

 

class ClasseFactory(factory.DjangoModelFactory):

    class Meta:

        model = Classe

 

    name = factory.Sequence(lambda n: "Class #%s" % n)

 

class ClasseStudentFactory(factory.DjangoModelFactory):

    class Meta:

        model = ClasseStudent

 

    student = factory.SubFactory(StudentFactory)

    classe = factory.SubFactory(ClasseFactory)

现在来伪造测试数据

 

tests.py添加测试用例

 

class ModelTestCase(TestCase):

    def setUp(self):

        self.teacher_one = TeacherFactory()

        self.class_one = ClasseFactory(teacher=self.teacher_one)

        self.class_two = ClasseFactory(teacher=self.teacher_one)

        for i in range(40):

            ClasseStudentFactory(student=StudentFactory(), classe=self.class_one)

        for i in range(40):

            ClasseStudentFactory(student=StudentFactory(), classe=self.class_two)

可以看到,添加了一个老师,两个班,每个班加入了40个学生

 

filterexclude

 

添加testcase

 

def test_filter_chain(self):

    query_set = Student.objects.filter(name__startswith='Student').exclude(pk=1).filter(create_time__year__gte=2015)[3:10]

    print query_set.query

    print query_set

执行

 

python manage.py test python manage.py test learning.test.test.ModelTestCase.test_filter_chain

可以看到结果

 

SELECT `learning_student`.`id`, `learning_student`.`name`, `learning_student`.`create_time` FROM `learning_student` WHERE (`learning_student`.`name` LIKE BINARY Student% AND NOT (`learning_student`.`id` = 1) AND `learning_student`.`create_time` >= 2014-12-31 16:00:00) LIMIT 7 OFFSET 3

<QuerySet [<Student: Student #4>, <Student: Student #5>, <Student: Student #6>, <Student: Student #7>, <Student: Student #8>, <Student: Student #9>, <Student: Student #10>]>

和我们预期的一致,值得注意的是,Django执行的是lazy query,也就是说前面的filterexclude并没有去查询数据库,后面的分片才导致了那次的查询

 

order_by

 

def test_order_by(self):

        query_set = Classe.objects.order_by("-create_time")

        print query_set.query

        print query_set

SELECT `learning_classe`.`id`, `learning_classe`.`name`, `learning_classe`.`teacher_id`, `learning_classe`.`create_time` FROM `learning_classe` ORDER BY `learning_classe`.`create_time` DESC

<QuerySet [<Classe: Class #3>, <Classe: Class #2>]>

如果有多个column参与排序,可以使用 Coalesce

 

select_related

 

可以用select_related查询外键的信息,并将结果保存,这样查找外键信息时,将不会向数据库发送请求,如下所示

 

def test_select_related(self):

        query_set = Classe.objects.select_related("teacher")

        print query_set.query

        print query_set[0].teacher

SELECT `learning_classe`.`id`, `learning_classe`.`name`, `learning_classe`.`teacher_id`, `learning_classe`.`create_time`, `learning_teacher`.`id`, `learning_teacher`.`name`, `learning_teacher`.`create_time` FROM `learning_classe` INNER JOIN `learning_teacher` ON (`learning_classe`.`teacher_id` = `learning_teacher`.`id`)

<QuerySet [<Classe: Class #0>, <Classe: Class #1>]>

deferonly

 

有时候查询只需要部分字段的结果,可以用deferonly来限制查询的结果

 

def test_defer(self):

        print Classe.objects.defer("create_time").query

        print Classe.objects.only("create_time").query

SELECT `learning_classe`.`id`, `learning_classe`.`name`, `learning_classe`.`teacher_id` FROM `learning_classe`

SELECT `learning_classe`.`id`, `learning_classe`.`create_time` FROM `learning_classe`

如果访问到没有获取的字段时,会再从数据库中读一次

 

文章来源:简书