亚洲乱码中文字幕综合,中国熟女仑乱hd,亚洲精品乱拍国产一区二区三区,一本大道卡一卡二卡三乱码全集资源,又粗又黄又硬又爽的免费视频

Mysql中使用Union—多表合并之行合并

 更新時(shí)間:2023年07月03日 11:20:51   作者:榴蓮小冰棍  
這篇文章主要介紹了Mysql中使用Union—多表合并之行合并,如果我們需要將兩個(gè)select語(yǔ)句的結(jié)果作為一個(gè)整體顯示出來(lái),我們就需要用到union或者union all關(guān)鍵字,union(或稱(chēng)為聯(lián)合)的作用是將多個(gè)結(jié)果合并在一起顯示出來(lái),需要的朋友可以參考下

Union (all)語(yǔ)句格式

select 列名    from 表A

union (all)

select 列名    from 表B

注意事項(xiàng):

  • 合并的表的列數(shù)必須是一致的,也就是表的列數(shù)要相同
  • union 與union all 對(duì)兩個(gè)查詢(xún)結(jié)果合并的時(shí)候,如果結(jié)果有重復(fù),union 會(huì)把重復(fù)的值刪除;
  • union 與union all不能與order by同時(shí)使用,如果要對(duì)結(jié)果進(jìn)行排序,可以用子查詢(xún)

案例解析

統(tǒng)計(jì)20170703—20170709周內(nèi)每天及本周累計(jì)銷(xiāo)售金額、訂單量、會(huì)員數(shù)、訂單占比

  • 統(tǒng)計(jì)時(shí)間段內(nèi)每天的累計(jì)銷(xiāo)售金額、訂單量、會(huì)員數(shù)
  • 統(tǒng)計(jì)本周累計(jì)銷(xiāo)售金額、訂單量、會(huì)員數(shù)
  • 訂單占比
  • union合并表
  • 對(duì)比 union all合并表——因?yàn)闆](méi)有重復(fù)數(shù)據(jù),所以?xún)杀砗喜⒔Y(jié)果一樣
-- 1、統(tǒng)計(jì)時(shí)間段內(nèi)每天的累計(jì)銷(xiāo)售金額、訂單量、會(huì)員數(shù)
SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
      ,COUNT(DISTINCT dimMemberID) num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W') ;
-- 2、統(tǒng)計(jì)本周累計(jì)銷(xiāo)售金額、訂單量、會(huì)員數(shù)
SELECT SUM(AMT) as total_money
      ,COUNT(DISTINCT salesID) as total_num_order
      ,COUNT(DISTINCT dimMemberID) total_num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0;
-- 3、訂單占比
SELECT DATE_FORMAT(dimDateID,'%W') AS week_1
      ,CONCAT(ROUND( COUNT(DISTINCT salesID)/(SELECT COUNT(DISTINCT salesID)
                                FROM dw.fct_sales
                                where dimDateID between '20170703' and '20170709'
                                and dimMemberID <>0),4)*100,'%') as order_rate
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W') ;
-- 4、union合并表
SELECT DATE_FORMAT(dimDateID,'%W') AS week_1 
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order
      ,COUNT(DISTINCT dimMemberID) num_member
      ,CONCAT(ROUND( COUNT(DISTINCT salesID)/(
       SELECT COUNT(DISTINCT salesID)
       FROM dw.fct_sales
       where dimDateID between '20170703' and '20170709'
       and dimMemberID <>0),4)*100,'%') as order_rate
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W')
UNION 
SELECT week(dimDateID,1)               /*為了保證列數(shù)一樣,week返回日期為一年中的第幾周 weel(date,1):從周一開(kāi)始為第一天*/
      ,SUM(AMT) as total_money
      ,COUNT(DISTINCT salesID) as total_num_order
      ,COUNT(DISTINCT dimMemberID) total_num_member
      ,'100%' as total                 /*為確保列數(shù)一樣*/
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by week(dimDateID,1);            /*出現(xiàn)匯總函數(shù)需要進(jìn)行分組*/
-- 5、對(duì)比 union all合并表——因?yàn)闆](méi)有重復(fù)數(shù)據(jù),所以?xún)杀砗喜⒔Y(jié)果一樣
SELECT DATE_FORMAT(dimDateID,'%W') AS week_1 
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order
      ,COUNT(DISTINCT dimMemberID) num_member
      ,CONCAT(ROUND( COUNT(DISTINCT salesID)/(
       SELECT COUNT(DISTINCT salesID)
       FROM dw.fct_sales
       where dimDateID between '20170703' and '20170709'
       and dimMemberID <>0),4)*100,'%') as order_rate
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W')
UNION ALL 
SELECT week(dimDateID,1)               /*為了保證列數(shù)一樣,week返回日期為一年中的第幾周 weel(date,1):從周一開(kāi)始為第一天*/
      ,SUM(AMT) as total_money
      ,COUNT(DISTINCT salesID) as total_num_order
      ,COUNT(DISTINCT dimMemberID) total_num_member
      ,'100%' as total                 /*為確保列數(shù)一樣*/
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by week(dimDateID,1);            /*出現(xiàn)匯總函數(shù)需要進(jìn)行分組*/
區(qū)分union 和 union all ,利用重復(fù)數(shù)據(jù)對(duì)比,合并兩個(gè)一模一樣的表 
-- union
SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
      ,COUNT(DISTINCT dimMemberID) num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W')
UNION 
SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
      ,COUNT(DISTINCT dimMemberID) num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W') ;
-- union all
SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
      ,COUNT(DISTINCT dimMemberID) num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W')
UNION ALL 
SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
      ,SUM(AMT) as money
      ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
      ,COUNT(DISTINCT dimMemberID) num_member
FROM dw.fct_sales
where dimDateID between '20170703' and '20170709'
and dimMemberID <>0
group by DATE_FORMAT(dimDateID,'%W') ;
多表合并中的排序問(wèn)題 order by——把合并后的表作為一個(gè)臨時(shí)表,再進(jìn)行排序

注意臨時(shí)表需要命名

排序要對(duì)新的列名進(jìn)行排序

SELECT sn.*
FROM (
      SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
            ,SUM(AMT) as money 
            ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
            ,COUNT(DISTINCT dimMemberID) num_member
      FROM dw.fct_sales
      where dimDateID between '20170703' and '20170709'
      and dimMemberID <>0
      group by DATE_FORMAT(dimDateID,'%W')
      UNION 
      SELECT DATE_FORMAT(dimDateID,'%W') as week_1      /*把時(shí)間轉(zhuǎn)化為星期模式*/
            ,SUM(AMT) as money 
            ,COUNT(DISTINCT salesID) as num_order       /*一個(gè)會(huì)員一周可以下多單,所以要統(tǒng)計(jì)會(huì)員數(shù),需要去重*/
            ,COUNT(DISTINCT dimMemberID) num_member
      FROM dw.fct_sales
      where dimDateID between '20170703' and '20170709'
      and dimMemberID <>0
      group by DATE_FORMAT(dimDateID,'%W') ) as sn
order by money desc;                                    /*注意要對(duì)money排序,而不是SUM(AMT)*/
-- order by SUM(AMT) desc;                              /*會(huì)報(bào)錯(cuò),需要用臨時(shí)表的列名,并且要對(duì)臨時(shí)表取列名,否則也會(huì)報(bào)錯(cuò)*/

到此這篇關(guān)于Mysql中使用Union—多表合并之行合并的文章就介紹到這了,更多相關(guān)Mysql使用Union行合并內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!

相關(guān)文章

  • MySQL如何修改字段類(lèi)型和字段長(zhǎng)度

    MySQL如何修改字段類(lèi)型和字段長(zhǎng)度

    這篇文章主要介紹了MySQL如何修改字段類(lèi)型和字段長(zhǎng)度,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。如有錯(cuò)誤或未考慮完全的地方,望不吝賜教
    2022-06-06
  • MySQL通過(guò)DQL實(shí)現(xiàn)對(duì)數(shù)據(jù)庫(kù)數(shù)據(jù)的基本查詢(xún)

    MySQL通過(guò)DQL實(shí)現(xiàn)對(duì)數(shù)據(jù)庫(kù)數(shù)據(jù)的基本查詢(xún)

    這篇文章給大家介紹了MySQL如何通過(guò)DQL進(jìn)行數(shù)據(jù)庫(kù)數(shù)據(jù)的基本查詢(xún),文中通過(guò)代碼示例和圖文結(jié)合介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或工作有一定的幫助,需要的朋友可以參考下
    2024-01-01
  • Mysql中的Innodb事務(wù)和鎖詳解

    Mysql中的Innodb事務(wù)和鎖詳解

    這篇文章主要介紹了Mysql中的Innodb事務(wù)和鎖詳解,InnoDB是MySQL的一種存儲(chǔ)引擎,它是一種可靠性和性能非常好的存儲(chǔ)引擎,它具有ACID事務(wù)支持,可以提供高并發(fā)性和數(shù)據(jù)完整性,需要的朋友可以參考下
    2023-09-09
  • mysql 5.7.21 解壓版通過(guò)歷史data目錄恢復(fù)數(shù)據(jù)的教程圖解

    mysql 5.7.21 解壓版通過(guò)歷史data目錄恢復(fù)數(shù)據(jù)的教程圖解

    本文通過(guò)圖文并茂的形式給大家介紹了mysql 5.7.21 解壓版,通過(guò)歷史data目錄恢復(fù)數(shù)據(jù)的方法,非常不錯(cuò),具有一定的參考借鑒價(jià)值,需要的朋友可以參考下
    2018-09-09
  • MySQL 集群遷移到 Kubernetes操作步驟

    MySQL 集群遷移到 Kubernetes操作步驟

    這篇文章主要為大家介紹了MySQL 集群遷移到 Kubernetes使用示例詳解,有需要的朋友可以借鑒參考下,希望能夠有所幫助,祝大家多多進(jìn)步,早日升職加薪
    2022-09-09
  • MySQL 使用 SSL 連接配置詳解

    MySQL 使用 SSL 連接配置詳解

    本文給大家分享的是如何配置MySQL支持SSL連接方式的方法以及在docker中配置的具體案例,有需要的小伙伴可以參考下
    2016-12-12
  • MySQL索引設(shè)計(jì)原則深入分析講解

    MySQL索引設(shè)計(jì)原則深入分析講解

    為了使索引的使用效率更高,在創(chuàng)建索引時(shí),必須考慮在哪些字段上創(chuàng)建索引和創(chuàng)建什么類(lèi)型的索引。索引設(shè)計(jì)不合理或者缺少索引都會(huì)對(duì)數(shù)據(jù)庫(kù)和應(yīng)用程序的性能造成障礙。高效的索引對(duì)于獲得良好的性能非常重要。設(shè)計(jì)索引時(shí),應(yīng)該考慮相應(yīng)準(zhǔn)則
    2023-01-01
  • 修改MySQL字符集的實(shí)現(xiàn)

    修改MySQL字符集的實(shí)現(xiàn)

    為確保MySQL客戶(hù)端默認(rèn)使用utf8或utf8mb4字符集,需要修改客戶(hù)端啟動(dòng)命令或客戶(hù)端配置文件,本文就來(lái)介紹一下修改MySQL字符集的實(shí)現(xiàn),感興趣的可以了解一下
    2024-10-10
  • Mysql?文件配置解析

    Mysql?文件配置解析

    這篇文章主要介紹了Mysql?文件配置解析,文章通過(guò)mysql的主要配置文件作用展開(kāi)innodb引擎是mysql數(shù)據(jù)庫(kù)中的重要部分的詳細(xì)說(shuō)明,感興趣的小伙伴可以參考一下
    2022-05-05
  • MySql創(chuàng)建分區(qū)的方法實(shí)例

    MySql創(chuàng)建分區(qū)的方法實(shí)例

    mysql分區(qū)相對(duì)于mysql分庫(kù)分表便利很多,可以對(duì)現(xiàn)有的mysql大表添加分區(qū),也可以對(duì)已有分區(qū)的表擴(kuò)充分區(qū),下面這篇文章主要給大家介紹了關(guān)于MySql創(chuàng)建分區(qū)的相關(guān)資料,需要的朋友可以參考下
    2022-04-04

最新評(píng)論