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上一篇Django 2.1.7 模型 - MVT模型增删功能讲述了关于MVT模型中列表的增加数据以及删除数据的功能,在数据返回的过程中,也有部分关于模型之间关联查询的数据。 本篇章将着重讲述模型之间的关联查询。 参考文献https://docs.djangoproject.com/zh-hans/2.1/topics/db/queries/ 打开mysql数据中的日志功能为了方便后续使用模型查看执行的sql语句,配置/etc/my.cnf文件,开启日志记录。 general_log=ON general_log_file=/var/lib/mysql/mysql.log注意:配置日志的用户权限需要设置为mysql用户,不然由于权限不足无法创建日志。 配置之后,重启mysql服务,并查看生成日志,如下: [root@server01 ~]# [root@server01 ~]# service mysqld restart Redirecting to /bin/systemctl restart mysqld.service # 在另一个窗口执行查询sql,然后查看日志执行的语句 [root@server01 mysql]# tail -f /var/lib/mysql/mysql.log 2019-06-11T14:36:15.870481Z 3 Field List auth_group_permissions 2019-06-11T14:36:15.870825Z 3 Field List auth_permission 2019-06-11T14:36:15.871316Z 3 Field List auth_user 2019-06-11T14:36:15.871863Z 3 Field List auth_user_groups 2019-06-11T14:36:15.872190Z 3 Field List auth_user_user_permissions 2019-06-11T14:36:15.872539Z 3 Field List django_admin_log 2019-06-11T14:36:15.872954Z 3 Field List django_content_type 2019-06-11T14:36:15.873407Z 3 Field List django_migrations 2019-06-11T14:36:15.873699Z 3 Field List django_session 2019-06-11T14:36:15.874048Z 3 Query select * from assetinfo_serverinfo好了,可以查看日志之后,下面就可以在模型执行查询,然后观察在mysql中的执行sql语句。 字段查询使用模型来实现sql中where的功能,可以通过调用 过滤器filter()、exclude()、get() 来实现。 其中,"属性名_id"表示外键对应对象的id值。 语法如下: 说明:属性名称和比较运算符间使用两个下划线,所以属性名不能包括多个下划线。 属性名称__比较运算符=值看完上面几句话,肯定是似懂非懂的,那么我们来进入django的交互模式,引入数据模型类来查询一下看看。 F:\pythonProject\django-pratice>python3 manage.py shell Python 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 23:09:28) [MSC v.1916 64 bit (AMD64)] Type 'copyright', 'credits' or 'license' for more information IPython 7.2.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: from assetinfo.models import ServerInfo,MiddlewareInfo In [2]: 条件查询1) 精确查询exact:表示精确查询。 首先在mysql查询一个 id = 1 的服务器信息,如下: mysql> select * from assetinfo_serverinfo where id = 1; +----+-----------------+--------------------+--------------------+---------------------+-----------+----------------------------+ | id | server_hostname | server_intranet_ip | server_internet_ip | server_shelves_date | is_delete | update_time | +----+-----------------+--------------------+--------------------+---------------------+-----------+----------------------------+ | 1 | 测试服务器 | 172.16.5.1 | 223.5.5.5 | 2019-06-10 | 0 | 2019-06-10 14:56:46.425830 | +----+-----------------+--------------------+--------------------+---------------------+-----------+----------------------------+ 1 row in set (0.00 sec)查看mysql的查询日志如下: 那么下面使用django的模型查询看看,如下: In [6]: serverinfo = ServerInfo.objects.filter( id__exact = 1 ) In [7]: for item in serverinfo: ...: print(item) ...: ServerInfo object (1) In [8]: for item in serverinfo: ...: print(item.server_hostname) ...: 测试服务器再到日志看看执行的sql语句,如下: 2019-06-11T14:55:23.312240Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE `assetinfo_serverinfo`.`id` = 1那么如果执行get() 过滤器呢? In [11]: ServerInfo.objects.get( id__exact = 1 ) Out[11]:日志打印执行sql如下: 2019-06-11T15:18:12.062269Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE `assetinfo_serverinfo`.`id` = 1跟filter过滤器执行是一样的。 那么 exclude() 方法呢? In [12]: ServerInfo.objects.exclude( id__exact = 1 ) Out[12]:日志打印sql如下: 2019-06-11T15:20:28.087415Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE NOT (`assetinfo_serverinfo`.`id` = 1) LIMIT 21可以看到这是排除 id = 1 的结果集,是跟上面两个结果不同的。 在mysql执行一下 exclude() 生成的sql语句,如下: mysql> SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE NOT (`assetinfo_serverinfo`.`id` = 1) LIMIT 21 -> ; +----+--------------------+--------------------+--------------------+---------------------+----------------------------+-----------+ | id | server_hostname | server_intranet_ip | server_internet_ip | server_shelves_date | update_time | is_delete | +----+--------------------+--------------------+--------------------+---------------------+----------------------------+-----------+ | 2 | 预发布服务器 | 172.168.0.3 | 223.6.6.6 | 2019-06-11 | 2019-06-10 16:40:42.159529 | 0 | +----+--------------------+--------------------+--------------------+---------------------+----------------------------+-----------+ 1 row in set (0.00 sec) mysql> mysql> select * from assetinfo_serverinfo where id 1; +----+--------------------+--------------------+--------------------+---------------------+-----------+----------------------------+ | id | server_hostname | server_intranet_ip | server_internet_ip | server_shelves_date | is_delete | update_time | +----+--------------------+--------------------+--------------------+---------------------+-----------+----------------------------+ | 2 | 预发布服务器 | 172.168.0.3 | 223.6.6.6 | 2019-06-11 | 0 | 2019-06-10 16:40:42.159529 | +----+--------------------+--------------------+--------------------+---------------------+-----------+----------------------------+ 1 row in set (0.00 sec) mysql>其实就是查询 id 不等于 1 的结果。 2) 模糊查询contains:是否包含。 说明:如果要包含%无需转义,直接写即可。 例:查询服务器名称包含测试的服务器。 In [17]: ServerInfo.objects.filter( server_hostname__contains = "测试" ) Out[17]:日志执行sql如下: 2019-06-11T15:46:25.036196Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE `assetinfo_serverinfo`.`server_hostname` LIKE BINARY '%测试%' LIMIT 21可以看到LIKE BINARY '%测试%' 作为模糊匹配的条件,但是前后都写%的话,查询性能肯定不高,那么如何设置前后的%呢? startswith、endswith:以指定值开头或结尾。 In [19]: ServerInfo.objects.filter( server_hostname__startswith = "测试" ) Out[19]: In [20]:对应执行SQL如下: 2019-06-11T15:50:03.661754Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE `assetinfo_serverinfo`.`server_hostname` LIKE BINARY '测试%' LIMIT 21可以看到,当使用startswith执行查询,那么测试%则是在后面模糊查询。 In [20]: ServerInfo.objects.filter( server_hostname__endswith = "测试" ) Out[20]:对应执行SQL如下: 2019-06-11T15:51:37.833362Z 4 Query SELECT `assetinfo_serverinfo`.`id`, `assetinfo_serverinfo`.`server_hostname`, `assetinfo_serverinfo`.`server_intranet_ip`, `assetinfo_serverinfo`.`server_internet_ip`, `assetinfo_serverinfo`.`server_shelves_date`, `assetinfo_serverinfo`.`update_time`, `assetinfo_serverinfo`.`is_delete` FROM `assetinfo_serverinfo` WHERE `assetinfo_serverinfo`.`server_hostname` LIKE BINARY '%测试' LIMIT 21可以看到,当使用endswith执行查询,那么 %测试则是在前面模糊查询。 以上运算符都区分大小写,在这些运算符前加上i表示不区分大小写,如iexact、icontains、istartswith、iendswith. 3) 空查询isnull:是否为null。 例:查询中间件名不为空的中间件信息。 In [21]: MiddlewareInfo.objects.filter( name__isnull = False ) Out[21]: In [22]:对应执行的SQL如下: 2019-06-11T15:58:14.759899Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`name` IS NOT NULL LIMIT 21可以看到 name IS NOT NULL , 如果设置为 True,那么则是 IS NULL 4) 范围查询in:是否包含在范围内。 例:查询 id 为1或3或5的 中间件 In [23]: MiddlewareInfo.objects.filter( id__in = [1,3,5] ) Out[23]: In [24]:对应SQL如下: 2019-06-11T16:02:34.126657Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`id` IN (1, 3, 5) LIMIT 21查询条件为 id IN (1, 3, 5),那么如果要查询 not in 呢?此时可以使用 exclude() 方法。 In [24]: MiddlewareInfo.objects.exclude( id__in = [1,3,5] ) Out[24]:对应执行SQL如下: 2019-06-11T16:04:35.102702Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE NOT (`assetinfo_middlewareinfo`.`id` IN (1, 3, 5)) LIMIT 21把SQL在mysql执行一下看看,如下: mysql> SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE NOT (`assetinfo_middlewareinfo`.`id` IN (1, 3, 5)) LIMIT 21; +----+---------+------+-----------+----------------------------+----------------------------+-----------+ | id | name | port | server_id | shelves_date | update_time | is_delete | +----+---------+------+-----------+----------------------------+----------------------------+-----------+ | 2 | redis | 6379 | 1 | 2019-06-10 14:56:46.150556 | 2019-06-10 17:38:20.712862 | 1 | | 4 | kafka | 9092 | 2 | 2019-06-10 16:42:25.561732 | 2019-06-10 17:39:29.302349 | 1 | | 6 | test | 123 | 1 | 2019-06-10 17:06:20.120658 | 2019-06-10 17:06:20.121656 | 1 | | 7 | test | 123 | 1 | 2019-06-10 17:06:43.193412 | 2019-06-10 17:06:43.193412 | 1 | | 8 | test | 123 | 1 | 2019-06-10 17:07:03.747395 | 2019-06-10 17:07:03.747395 | 1 | | 9 | test | 123 | 1 | 2019-06-10 17:08:43.372097 | 2019-06-10 17:08:43.372097 | 1 | | 10 | test | 123 | 1 | 2019-06-10 17:09:37.877019 | 2019-06-10 17:09:37.877019 | 1 | | 11 | test | 123 | 1 | 2019-06-10 17:11:45.403627 | 2019-06-10 17:11:45.403627 | 1 | | 12 | mysql | 3306 | 2 | 2019-06-10 17:12:12.558217 | 2019-06-10 17:12:12.558217 | 0 | | 13 | mongodb | 3388 | 2 | 2019-06-10 17:15:18.327729 | 2019-06-10 17:15:18.327729 | 1 | | 14 | mongodb | 3306 | 1 | 2019-06-11 14:01:24.003175 | 2019-06-11 14:06:14.525648 | 1 | | 15 | test | 123 | 1 | 2019-06-11 14:04:10.576241 | 2019-06-11 14:04:10.576241 | 0 | | 16 | test | 3306 | 1 | 2019-06-11 14:06:05.608006 | 2019-06-11 14:06:05.608006 | 0 | +----+---------+------+-----------+----------------------------+----------------------------+-----------+ 13 rows in set (0.00 sec) mysql>可以看到已经提出了 id = 1,3,5 的数据。 5) 比较查询gt、gte、lt、lte:大于、大于等于、小于、小于等于。 例:查询 id大于3 的中间件 In [26]: MiddlewareInfo.objects.filter( id__gt = 3 ) Out[26]:对应的SQL如下: 2019-06-11T16:11:24.052080Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`id` > 3 LIMIT 21执行SQL如下: mysql> SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`id` > 3 LIMIT 21; +----+---------+------+-----------+----------------------------+----------------------------+-----------+ | id | name | port | server_id | shelves_date | update_time | is_delete | +----+---------+------+-----------+----------------------------+----------------------------+-----------+ | 4 | kafka | 9092 | 2 | 2019-06-10 16:42:25.561732 | 2019-06-10 17:39:29.302349 | 1 | | 5 | test | 123 | 1 | 2019-06-10 17:05:16.632773 | 2019-06-10 17:05:16.632773 | 1 | | 6 | test | 123 | 1 | 2019-06-10 17:06:20.120658 | 2019-06-10 17:06:20.121656 | 1 | | 7 | test | 123 | 1 | 2019-06-10 17:06:43.193412 | 2019-06-10 17:06:43.193412 | 1 | | 8 | test | 123 | 1 | 2019-06-10 17:07:03.747395 | 2019-06-10 17:07:03.747395 | 1 | | 9 | test | 123 | 1 | 2019-06-10 17:08:43.372097 | 2019-06-10 17:08:43.372097 | 1 | | 10 | test | 123 | 1 | 2019-06-10 17:09:37.877019 | 2019-06-10 17:09:37.877019 | 1 | | 11 | test | 123 | 1 | 2019-06-10 17:11:45.403627 | 2019-06-10 17:11:45.403627 | 1 | | 12 | mysql | 3306 | 2 | 2019-06-10 17:12:12.558217 | 2019-06-10 17:12:12.558217 | 0 | | 13 | mongodb | 3388 | 2 | 2019-06-10 17:15:18.327729 | 2019-06-10 17:15:18.327729 | 1 | | 14 | mongodb | 3306 | 1 | 2019-06-11 14:01:24.003175 | 2019-06-11 14:06:14.525648 | 1 | | 15 | test | 123 | 1 | 2019-06-11 14:04:10.576241 | 2019-06-11 14:04:10.576241 | 0 | | 16 | test | 3306 | 1 | 2019-06-11 14:06:05.608006 | 2019-06-11 14:06:05.608006 | 0 | +----+---------+------+-----------+----------------------------+----------------------------+-----------+ 13 rows in set (0.00 sec) mysql>不等于的运算符,使用exclude()过滤器。 In [27]: MiddlewareInfo.objects.exclude( id = 3 )6) 日期查询year、month、day、week_day、hour、minute、second:对日期时间类型的属性进行运算。 例:查询2019年加入数据的中间件。 In [29]: MiddlewareInfo.objects.filter( shelves_date__year = 2019 ) Out[29]:对应的SQL如下: 2019-06-11T16:16:15.497283Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`shelves_date` BETWEEN '2019-01-01 00:00:00' AND '2019-12-31 23:59:59.999999' LIMIT 21可以从上面看到,年份的查询条件就是区间查询 BETWEEN '2019-01-01 00:00:00' AND '2019-12-31 23:59:59.999999' 那么查询月份呢? In [32]: MiddlewareInfo.objects.filter( shelves_date__month = 1 ) Out[32]: In [33]:对应的SQL如下: 2019-06-11T16:18:46.824127Z 4 Query SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE EXTRACT(MONTH FROM CONVERT_TZ(`assetinfo_middlewareinfo`.`shelves_date`, 'UTC', 'UTC')) = 1 LIMIT 21可以看到月份的查询时区不对 EXTRACT(MONTH FROM CONVERT_TZ(assetinfo_middlewareinfo.shelves_date, 'UTC', 'UTC')) = 1 例:查询2019年5月1日后加入数据的中间件。 In [4]: from datetime import date In [5]: MiddlewareInfo.objects.filter( shelves_date__gt = date(2019,5,1) ) G:\Python3\Python37\lib\site-packages\django\db\models\fields\__init__.py:1363: RuntimeWarning: DateTimeField MiddlewareInfo.shelves_date received a naive datetime (2019-05-01 00:0 0:00) while time zone support is active. RuntimeWarning) Out[5]:对应执行的SQL如下: mysql> SELECT `assetinfo_middlewareinfo`.`id`, `assetinfo_middlewareinfo`.`name`, `assetinfo_middlewareinfo`.`port`, `assetinfo_middlewareinfo`.`server_id`, `assetinfo_middlewareinfo`.`shelves_date`, `assetinfo_middlewareinfo`.`update_time`, `assetinfo_middlewareinfo`.`is_delete` FROM `assetinfo_middlewareinfo` WHERE `assetinfo_middlewareinfo`.`shelves_date` > '2019-04-30 16:00:00' LIMIT 21; +----+-----------+-------+-----------+----------------------------+----------------------------+-----------+ | id | name | port | server_id | shelves_date | update_time | is_delete | +----+-----------+-------+-----------+----------------------------+----------------------------+-----------+ | 1 | memcached | 11211 | 1 | 2019-06-10 14:56:46.150556 | 2019-06-10 17:37:51.365155 | 1 | | 2 | redis | 6379 | 1 | 2019-06-10 14:56:46.150556 | 2019-06-10 17:38:20.712862 | 1 | | 3 | nginx | 80 | 2 | 2019-06-10 16:41:52.129517 | 2019-06-10 17:38:18.923155 | 1 | | 4 | kafka | 9092 | 2 | 2019-06-10 16:42:25.561732 | 2019-06-10 17:39:29.302349 | 1 | | 5 | test | 123 | 1 | 2019-06-10 17:05:16.632773 | 2019-06-10 17:05:16.632773 | 1 | | 6 | test | 123 | 1 | 2019-06-10 17:06:20.120658 | 2019-06-10 17:06:20.121656 | 1 | | 7 | test | 123 | 1 | 2019-06-10 17:06:43.193412 | 2019-06-10 17:06:43.193412 | 1 | | 8 | test | 123 | 1 | 2019-06-10 17:07:03.747395 | 2019-06-10 17:07:03.747395 | 1 | | 9 | test | 123 | 1 | 2019-06-10 17:08:43.372097 | 2019-06-10 17:08:43.372097 | 1 | | 10 | test | 123 | 1 | 2019-06-10 17:09:37.877019 | 2019-06-10 17:09:37.877019 | 1 | | 11 | test | 123 | 1 | 2019-06-10 17:11:45.403627 | 2019-06-10 17:11:45.403627 | 1 | | 12 | mysql | 3306 | 2 | 2019-06-10 17:12:12.558217 | 2019-06-10 17:12:12.558217 | 0 | | 13 | mongodb | 3388 | 2 | 2019-06-10 17:15:18.327729 | 2019-06-10 17:15:18.327729 | 1 | | 14 | mongodb | 3306 | 1 | 2019-06-11 14:01:24.003175 | 2019-06-11 14:06:14.525648 | 1 | | 15 | test | 123 | 1 | 2019-06-11 14:04:10.576241 | 2019-06-11 14:04:10.576241 | 0 | | 16 | test | 3306 | 1 | 2019-06-11 14:06:05.608006 | 2019-06-11 14:06:05.608006 | 0 | +----+-----------+-------+-----------+----------------------------+----------------------------+-----------+ 16 rows in set (0.00 sec) mysql> |
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