Mysql 每天在Select COUNT（*）中合并2个查询

我有两个表日志和轨道，每个表都有一个时间戳，但名称不同，现在我尝试获取给定商店每天的所有日志，同时在我的轨道表中获取每天的轨道数

SELECT DATE(clicktime), COUNT(shop)
FROM LOG
WHERE shop = "shop01"
AND (clicktime > DATE_SUB(NOW(), INTERVAL 30 DAY))
GROUP BY DATE(clicktime);

此查询每天收集日志表中的所有条目，结果如下

--------------------------------
ClickTime          |  Clicks
--------------------------------
2014-12-25         |   342    
-------------------------------- 
2014-12-24         |   232
--------------------------------

我在我的第二张桌子上得到了每天的销售额，如下所示

SELECT DATE(last_change) as SaleTime, COUNT(shop) as sale
FROM tracks
WHERE shop = "dd01"
AND (last_change > DATE_SUB(NOW(), INTERVAL 30 DAY))
AND relevant = 1
GROUP BY DATE(last_change)

输出

--------------------------------
SaleTime           |  sales
--------------------------------
2014-12-25         |   42    
-------------------------------- 
2014-12-24         |   32
--------------------------------

我想将这两个查询合并到一个查询中，得到如下输出

-----------------------------------------
Time               |  sales    |  clicks
-----------------------------------------
2014-12-25         |   42      |  342
----------------------------------------- 
2014-12-24         |   32      |  232
-----------------------------------------

我曾尝试使用Union作为子查询，但由于不同的表结构，此子查询在五月的情况下无法工作

有没有办法达到预期的效果

试试这个：

SELECT A.clicktime, A.shopCnt, B.saleCount
FROM (SELECT DATE(clicktime) clicktime, COUNT(shop) AS shopCnt
        FROM LOG
        WHERE shop = "shop01"
        AND (clicktime > DATE_SUB(NOW(), INTERVAL 30 DAY))
        GROUP BY DATE(clicktime)
      ) AS A 
INNER JOIN (SELECT DATE(last_change) AS SaleTime, COUNT(shop) AS saleCount
                FROM tracks
                WHERE shop = "dd01"
                AND (last_change > DATE_SUB(NOW(), INTERVAL 30 DAY))
                AND relevant = 1
                GROUP BY DATE(last_change)
              ) AS B ON A.clicktime = B.SaleTime

---

我强烈建议您使用

联合

所有方法，而不是

内部联接

。如果您有几天没有销售或点击，则加入将删除记录：

SELECT date, SUM(sales) as sales, SUM(clicks) as clicks
FROM ((SELECT DATE(last_change) as date, COUNT(*) as sales, 0 as clicks
       FROM tracks
       WHERE shop = 'dd01' AND (last_change > DATE_SUB(NOW(), INTERVAL 30 DAY)) AND relevant = 1
       GROUP BY DATE(last_change)
      )
      UNION ALL
      (SELECT DATE(clicktime) as date, 0 as sales, COUNT(*) as clicks
       FROM LOG
       WHERE shop = 'shop01' AND (clicktime > DATE_SUB(NOW(), INTERVAL 30 DAY))
       GROUP BY DATE(clicktime)
      )
     ) d
GROUP BY date;