我的预订系统有多个同时预订,每个预订都有一个计数。我需要获得指定日期范围的最小值和最大值(在这种情况下为一天)。我找到了一些好的代码here,它在测试中非常有用。但在我的实现中,它在这个特定的实例中失败了:
我该如何解决这个问题?
以下是一个例子:
此预订包含以下属性: 列表(多个预订可以拥有的ID,但在这种情况下只有一个):2f23f23f
date_start:2016-01-15 08:00:00
date_end:2016-01-17 08:00:00
陈述:活跃
数:1
结果:
min_count:0
max_count:0
它应该返回:
min_count:0
max_count:1
如果我们查询的相同,但日期范围为2016-01-16 00:00:00 - 2016-01-16 23:59:59,则会返回正确答案:
min_count:1
max_count:1
这是MYSQL:
SELECT
MAX(simultaneous) AS max_count,
MIN(simultaneous) AS min_count
FROM (
SELECT IFNULL(SUM(
(
CASE WHEN (
listings = '2f23f23f'
AND
(state = 'active')
)
THEN count
ELSE 0
END
)
),0) AS simultaneous
FROM bookings RIGHT JOIN (
SELECT date_start AS boundary
FROM bookings
WHERE date_start BETWEEN '2016-01-17 00:00:00' AND '2016-01-17 23:59:59'
UNION
SELECT date_end
FROM bookings
WHERE date_end BETWEEN '2016-01-17 00:00:00' AND '2016-01-17 23:59:59'
UNION
SELECT MAX(boundary)
FROM (
SELECT MAX(date_start) AS boundary
FROM bookings
WHERE date_start <= '2016-01-17 00:00:00'
UNION ALL
SELECT MAX(date_end)
FROM bookings
WHERE date_end <= '2016-01-17 23:59:59'
) t
) t ON date_start <= boundary AND boundary < date_end
LEFT OUTER JOIN cart ON cart_bookings = id
GROUP BY boundary
) t
答案 0 :(得分:0)
哇,好的,这就是答案。原来显然没有完成。它需要包括所请求时间范围的开始/结束日期。
UNION
SELECT :date_start
UNION
SELECT :date_end
完整代码:
SELECT
MAX(simultaneous) AS max_count,
MIN(simultaneous) AS min_count
FROM (
SELECT IFNULL(SUM(
(
CASE WHEN (
listings = '2f23f23f'
AND
(state = 'active')
)
THEN count
ELSE 0
END
)
),0) AS simultaneous
FROM bookings RIGHT JOIN (
SELECT date_start AS boundary
FROM bookings
WHERE date_start BETWEEN '2016-01-17 00:00:00' AND '2016-01-17 23:59:59'
UNION
SELECT date_end
FROM bookings
WHERE date_end BETWEEN '2016-01-17 00:00:00' AND '2016-01-17 23:59:59'
UNION
SELECT MAX(boundary)
FROM (
SELECT MAX(date_start) AS boundary
FROM bookings
WHERE date_start <= '2016-01-17 00:00:00'
UNION ALL
SELECT MAX(date_end)
FROM bookings
WHERE date_end <= '2016-01-17 23:59:59'
) t
UNION
SELECT :date_start
UNION
SELECT :date_end
) t ON date_start <= boundary AND boundary < date_end
LEFT OUTER JOIN cart ON cart_bookings = id
GROUP BY boundary
) t