SQL语句:

select distinct a.device_hash, sum(b.cmn_merge_count) from
(select distinct device_hash from tbl_fileprotect_svc_instance where customer_id='3f500ac5-020d-3ce3-a2a2-51a59ddd606e')
as a left join tbl_file_protect_alarm as b on a.device_hash = b.device_hash group by a.device_hash;
简化SQL如下(把子查询转化为WHERE语句): 复制代码
select distinct a.device_hash, sum(b.cmn_merge_count) from
tbl_fileprotect_svc_instance
as a left join tbl_file_protect_alarm as b on a.device_hash = b.device_hash
where a.customer_id='3f500ac5-020d-3ce3-a2a2-51a59ddd606e'
group by a.device_hash; select distinct a.device_hash, sum(b.cmn_merge_count) from tbl_fileprotect_svc_instance as a left join tbl_file_protect_alarm as b on a.device_hash = b.device_hash where a.customer_id='3f500ac5-020d-3ce3-a2a2-51a59ddd606e' group by a.device_hash; select distinct a.device_hash, sum(b.cmn_merge_count) as alarm_sum from tbl_fileprotect_svc_instance as a left join tbl_file_protect_alarm as b on a.device_hash = b.device_hash where a.customer_id='3f500ac5-020d-3ce3-a2a2-51a59ddd606e' group by a.device_hash;
复制代码 Django代码: 复制代码
TODO:
方法一:
ret = []
device_list = models.FILE_PROTECT_INSTANCE.objects.filter(customer_id=customer_id)
for item in device_list:
tmp_dict = {}
tmp_dict['device_hash'] = item.device_hash
tmp_dict['hostname'] = item.hostname
tmp_dict['status'] = item.status
from django.db.models import Sum
alarm_sum_group_items = models.FILE_PROTECT_ALARM.objects.filter(customer_id=customer_id).filter(device_hash=tmp_dict['device_hash']).values('device_hash').annotate(alarm_sum=Sum('cmn_merge_count'))
#tmp_dict['customer_id'] = customer_id
tmp_dict['alarm_sum'] = alarm_sum_group_items[0]['alarm_sum'] if (len(alarm_sum_group_items)!=0) else 0
ret.append(tmp_dict)
复制代码 方法二: hashes = A.objects.values_list("device_hash", flat=True).filter(customer_id="3f500ac5-020d-3ce3-a2a2-51a59ddd606e") B.objects.filter(device_hash__in=hashes).values_list("device_hash").annotate(Sum("cmn_merge_count")) SQL实现聚合查询统计(Sum,Count等) 复制代码
from django.db.models import Sum
#start_time = datetime.utcfromtimestamp(data['start_time']).replace(tzinfo=utc)
#end_time = datetime.utcfromtimestamp(data['end_time']).replace(tzinfo=utc)
end_time = datetime.now()
start_time = end_time + timedelta(days=-1)
condition['cmn_alert_time__range'] = (start_time, end_time)
#alarm_sum_group_items_day = models.FILE_PROTECT_ALARM.objects.filter(**condition).values('customer_id').annotate(alarm_sum_day=Sum('cmn_merge_count'))
alarm_sum_day = models.FILE_PROTECT_ALARM.objects.filter(**condition).aggregate(Sum("cmn_merge_count"))
day_sum = alarm_sum_day['cmn_merge_count__sum'] if (alarm_sum_day['cmn_merge_count__sum'] is not None) else 0 end_time = datetime.now()
start_time = end_time + timedelta(days=-7)
condition['cmn_alert_time__range'] = (start_time, end_time)
#alarm_sum_group_items_week = models.FILE_PROTECT_ALARM.objects.filter(**condition).values('customer_id').annotate(alarm_sum_week=Sum('cmn_merge_count'))
alarm_sum_week = models.FILE_PROTECT_ALARM.objects.filter(**condition).aggregate(Sum("cmn_merge_count"))
week_sum = alarm_sum_week['cmn_merge_count__sum'] if (alarm_sum_week['cmn_merge_count__sum'] is not None) else 0 condition = {}
#condition['device_hash'] = data['device_hash']
condition['customer_id'] = customer_id
end_time = datetime.now()
#start_time = end_time + timedelta(days=-7)
condition['cmn_alert_time__lte'] = end_time
#alarm_sum_group_items_all = models.FILE_PROTECT_ALARM.objects.filter(**condition).values('customer_id').annotate(alarm_sum_all=Sum('cmn_merge_count'))
alarm_sum_all = models.FILE_PROTECT_ALARM.objects.filter(**condition).aggregate(Sum("cmn_merge_count"))
all_sum = alarm_sum_all['cmn_merge_count__sum'] if (alarm_sum_all['cmn_merge_count__sum'] is not None) else 0 参考资料:
http://stackoverflow.com/questions/6481279/django-sum-query

  

Django 如何实现 如下 联表 JOIN 查询?的更多相关文章

  1. 【Django】Django 如何实现 如下 联表 JOIN 查询?

    SQL语句: select distinct a.device_hash, sum(b.cmn_merge_count) from (select distinct device_hash from ...

  2. solr之高级查询--联表 join查询

    例如有两个业务表:文章表,评论表 . 场景: 一个文章可以由多个人评论. 创建两个core,一个core叫article,一个叫comment.article实例的schema.xml文件中定义几个简 ...

  3. springBootJpa 联表分页查询总数不准的问题

    问题情景: 在联表查询时 ``` // 两张表关联查询 Join<Project, Plan> planJoin = root.join("plans", JoinTy ...

  4. 数据库联表统计查询 Group by & INNER JOIN

    原数据表 视频信息表  tab_video_info 播放记录表  tab_play_record 需求 统计播放量(已经开始播放)最多的前20个视频: SELECT a.video_id, SUM( ...

  5. 基于Solr的多表join查询加速方法

    前言 DT时代对平台或商家来说最有价值的就是数据了,在大数据时代数据呈现出数据量大,数据的维度多的特点,用户会使用多维度随意组合条件快速召回数据.数据处理业务场景需要实时性,需要能够快速精准的获得到需 ...

  6. SQL SERVER跨数据库服务,联表进行查询

    SELECT * FROM 数据库A..表A a, 数据库B..表B b WHERE a.field=b.field

  7. Django之model联表:一对多、跨表操作,联表查询

    表结构概述 model.py : class Something(models.Model): name = models.CharField(max_length=32) class UserTyp ...

  8. [慢查优化]联表查询注意谁是驱动表 & 你搞不清楚谁join谁更好时请放手让mysql自行判定

    写在前面的话: 不要求每个人一定理解 联表查询(join/left join/inner join等)时的mysql运算过程: 不要求每个人一定知道线上(现在或未来)哪张表数据量大,哪张表数据量小: ...

  9. 【转】[慢查优化]联表查询注意谁是驱动表 & 你搞不清楚谁join谁更好时请放手让mysql自行判定

    转自:http://zhengyun-ustc.iteye.com/blog/1942797 写在前面的话: 不要求每个人一定理解 联表查询(join/left join/inner join等)时的 ...

随机推荐

  1. 朋友封装的一个ASP.NET上传文件的方法

    朋友做了asp.net开发多年,做了这个,自我感觉封装得还不错!!! 代码如下: #region 上传文件的方法 /// <summary> /// 上传文件方法 /// </sum ...

  2. 20155117 王震宇 2006-2007-2 《Java程序设计》第四周学习总结

    教材学习内容总结 继承(inheritance) 继承是面向对象软件技术当中的一个概念.继承可以使得子类别具有父类别的各种属性和方法,避免了重复的行为定义.在子类别继承父类别的同时,可以重新定义某些属 ...

  3. 写一个简易浏览器、ASP.NET核心知识(3)

    前言 先在文章前面说好了,省得大家发现我根本没有这样的头发,duang的一下一堆人骂我. 这篇文章的标题有点大,其实挺low的,我需要在开头解释一下.我这里只想写一个小的控制台,旨在模拟浏览器的htt ...

  4. 使用Forms Authentication

    using System; using System.Web; using System.Web.Security;   namespace AuthTest {   public class Aut ...

  5. oozie的简易安装

    1. 解压  tar -zxvf oozie-4.0.0-cdh5.3.6.tar.gz 2.配置hadoop的集群,添加一个代理用户(给oozie运行mapreduce的权限) 在hadoop的co ...

  6. eclipse运行Android项目出现“The connection to adb is down, and a severe error has occured. You must restart adb and Eclipse. ”

    重启eclipse之后仍然出现同样错误,此时可以尝试一下方法: cmd打开命令窗口: 之后重启eclipse,基本可以解决问题!

  7. 【译】第三篇 SQL Server代理警报和操作员

    本篇文章是SQL Server代理系列的第三篇,详细内容请参考原文. 正如这一系列的上一篇所述,SQL Server代理作业是由一系列的作业步骤组成,每个步骤由一个独立的类型去执行,除了步骤中执行的工 ...

  8. Coursera在线学习---第六节.构建机器学习系统

    备: High bias(高偏差) 模型会欠拟合    High variance(高方差) 模型会过拟合 正则化参数λ过大造成高偏差,λ过小造成高方差 一.利用训练好的模型做数据预测时,如果效果不好 ...

  9. Java源码-HashMap(jdk1.8)

    一.hash方法 如下是jdk1.8中的源码 static final int hash(Object key) { int h; return (key == null) ? 0 : (h = ke ...

  10. 移动端测试===adb shell top命令解释

    adb shell top top命令提供了实时的对系统处理器的状态监视.它将显示系统中CPU最“敏感”的任务列表.该命令可以按CPU使用.内存使用和执行时间对任务进行排序. top 用法 >a ...