【问题标题】:How to group data by year with paid and unpaid values如何按年份将数据与付费和未付费值分组
【发布时间】:2019-08-11 22:55:31
【问题描述】:

我有一个 MYSQL 数据库,我想在其中对已付金额和未付金额的总数进行排序。我使用的查询是:

SELECT DISTINCT 
YEAR( app_payments.created_at ) AS YEARS,
SUM( app_payments.amount ) AS Total,
app_users.serial,
app_payments.`status` AS payment_state 
FROM
app_payments
INNER JOIN app_users ON app_payments.created_by = app_users.serial 
WHERE
app_payments.created_by = 'd88faa' 
GROUP BY
YEAR ( app_payments.created_at ),
app_payments.status 

我得到的结果是:

2017    1995    d88faa  1
2018    1200    d88faa  1
2019    1250    d88faa  0
2019    4990    d88faa  1

其中1 代表PAID0 代表UNPAID

在我的 php 代码中,我尝试将数据分组为年份

$Stats = array ();
while(!$this->EndofSeek()){
$result = $this->Row();
if($result->payment_state == 0 ){
 if(in_array($result->YEARS,$Stats)){
 array_replace($Stats,['y'=>$result->YEARS , 'b'=>$result->Total ]);
}else{ array_push($Stats,['y'=>$result->YEARS , 'a'=>0 , 'b'=>$result->Total ]);}
}else if($result->payment_state == 1){
 array_push($Stats,['y'=>$result->YEARS , 'a'=>$result->Total , 'b'=>0 ]);
}
 }
  return json_encode($Stats)

这将返回输出:

[{"y":"2017","a":"1995","b":0},
{"y":"2018","a":"1200","b":0},
{"y":"2019","a":"4990","b":"1450"},
{"y":"2019","a":"4990","b":0}]

yYEARSaPAIDbUNPAID

我寻求实现的是将所有数据分组到我将拥有的特定年份 [{"y":"2017","a":"1995","b":0}, {"y":"2018","a":"1200","b":0}, {"y":"2019","a":"4990","b":"1450"}]

没有复制年份,而是将它们合并为一个单元。

我需要做什么,我需要实现哪些代码来实现这一点。

【问题讨论】:

    标签: javascript php mysql sql morris.js


    【解决方案1】:

    你只是想要条件聚合吗?

    SELECT YEAR(p.created_at) AS YEAR,
           SUM( CASE WHEN p.status = 0 THEN p.amount END) AS Total_0,
           SUM( CASE WHEN p.status = 1 THEN p.amount END) AS Total_1
    FROM app_payments p INNER JOIN
         app_users u
         ON p.created_by = u.serial 
    WHERE p.created_by = 'd88faa' 
    GROUP BY YEAR(p.created_at);
    

    【讨论】:

    • 太好了,这解决了我很多或 php 代码...请您推荐一个教程来提高 SQL 的 m 技能?我真的需要它。
    猜你喜欢
    • 2021-10-29
    • 1970-01-01
    • 2020-07-07
    • 2021-09-25
    • 1970-01-01
    • 2016-08-03
    • 2010-11-30
    • 2023-04-02
    • 2011-10-22
    相关资源
    最近更新 更多