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如何对联合中不同表的 ID 求和和计数

[英]How to sum and count Id's of different tables from a Union

I have 3 tables councils , station_levy , market_levy , and the station table is joined to get councils in station_levy .我有 3 个表councilsstation_levymarket_levy并且加入了 station 表以获得station_levy 中的理事会。 I need to get data by council sum the number of station_levy + market_levy and get the total amount tendered.我需要通过理事会总计 station_levy + market_levy 的数量来获取数据,并获得投标总额。

Tables are as follows表格如下

councils
---------------+----------+
| council_id   | Name     |
+--------------+----------+
| 1            | LSK      |
---------------+----------+
| 2            | KBW      |
---------------+----------+


station_levy
------------------+-------------+-----------------+
| station_levy_id | station_id  | amount_tendered |
+-----------------+-------------+-----------------+
|       1         |   3         |    10.00        |
+-----------------+-------------+-----------------+
|       2         |   3         |    10.00        |
+-----------------+-------------+-----------------+
|       3         |   1         |    5.00         |
+-----------------+-------------+-----------------+


(station_id = 1 is found in the LSK council_id=1  And station_id = 3 is found in the KBW council_id=2)

market_levy
------------------+-------------+-----------------+
| market_levy_id  | council_id  | amount_tendered |
+-----------------+-------------+-----------------+
|       1         |   1         |    5.00         |
+-----------------+-------------+-----------------+
|       2         |   2         |    5.00         |
+-----------------+-------------+-----------------+
|       3         |   1         |    5.00         |
+-----------------+-------------+-----------------+

mysql mysql

SELECT c.council_name, (COUNT(market_levy.market_levy_id)+ COUNT(st.station_levy_id )) count, SUM(amount_tendered) revenue
    FROM councils c 
    JOIN (
        (SELECT council_id, amount_tendered,market_levy_id  FROM market_levy  WHERE transaction_date >= CURDATE() )
        UNION ALL

        (SELECT station_levy_id , councils.council_id, amount_tendered 
        FROM station_levy st     
        JOIN stations ON stations.station_id = st.station_id
        JOIN councils ON councils .council_id= stations .council_id
        WHERE transaction_datetime >= CURDATE()
    )) totalCouncilRevenue USING (council_id)
    group by council_id, c.council_name ORDER BY SUM(amount_tendered) DESC 

Expected result预期结果

------------------+-------------+-----------------+
| council_name    | count       | revenue         |
+-----------------+-------------+-----------------+
|      LSK        |   3         |    15.00        |
+-----------------+-------------+-----------------+
|      KBW        |   3         |    25.00        |
+-----------------+-------------+-----------------+

You are confusing columns in your UNION ALL matching council_id with station_levy_id , amount_tendered with council_id , and market_levy_id with amount_tendered .您混淆了UNION ALL中的列,匹配council_idstation_levy_idamount_tenderedcouncil_id以及market_levy_idamount_tendered

Then, in your main query you try to access market_levy.market_levy_id and st.station_levy_id , but these columns are not accessible, as you select from a subquery called totalCouncilRevenue , not from tables labelled market_levy and st there.然后,在您的主查询中,您尝试访问market_levy.market_levy_idst.station_levy_id ,但是这些列不可访问,因为您 select 来自名为totalCouncilRevenue的子查询,而不是来自标有market_levyst的表。

Your query fixed:您的查询已修复:

SELECT 
  c.council_name, 
  COUNT(*) AS transaction_count,
  SUM(amount_tendered) AS revenue
FROM councils c 
JOIN
(
  SELECT council_id, amount_tendered
  FROM market_levy  
  WHERE transaction_date >= CURDATE() 
  UNION ALL
  SELECT s.council_id, st.amount_tendered 
  FROM station_levy st    
  JOIN stations s ON s.station_id = st.station_id
  WHERE st.transaction_datetime >= CURDATE()
) totalCouncilRevenue USING (council_id)
GROUP BY council_id, c.council_name 
ORDER BY SUM(amount_tendered) DESC;

I prefer aggregating before joining, though:不过,我更喜欢在加入之前进行聚合:

SELECT 
  c.council_name, 
  COALESCE(t1.cnt, 0) + COALESCE(t2.cnt, 0) AS transaction_count,
  COALESCE(t1.total, 0) + COALESCE(t2.total, 0) AS revenue
FROM councils c 
LEFT JOIN
(
  SELECT council_id, SUM(amount_tendered) as total, COUNT(*) as cnt
  FROM market_levy  
  WHERE transaction_date >= CURDATE() 
  GROUP BY council_id
) t1 USING (council_id)
LEFT JOIN
(
  SELECT s.council_id, SUM(st.amount_tendered) as total, COUNT(*) as cnt
  FROM station_levy st    
  JOIN stations s ON s.station_id = st.station_id
  WHERE st.transaction_datetime >= CURDATE()
  GROUP BY s.council_id
) t2 USING (council_id)
ORDER BY revenue DESC;

Such queries are usually less prone to errors and are sometimes faster, because they may be able to use indexes more efficiently.此类查询通常不太容易出错,有时速度更快,因为它们可以更有效地使用索引。

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