我不喜欢其他答案,需要创建表等。此查询在没有帮助表的情况下有效地执行此操作。
SELECT
IF(score IS NULL, 0, score) AS score,
b.Days AS date
FROM
(SELECT a.Days
FROM (
SELECT curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY AS Days
FROM (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS a
CROSS JOIN (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS b
CROSS JOIN (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS c
) a
WHERE a.Days >= curdate() - INTERVAL 30 DAY) b
LEFT JOIN your_table
ON date = b.Days
ORDER BY b.Days;
所以让我们来剖析一下。
SELECT
IF(score IS NULL, 0, score) AS score,
b.Days AS date
if 将检测没有得分的天数并将它们设置为 0。 b.Days 是您选择从当前日期获取的配置天数,最多 1000。
(SELECT a.Days
FROM (
SELECT curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY AS Days
FROM (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS a
CROSS JOIN (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS b
CROSS JOIN (SELECT 0 AS a UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9) AS c
) a
WHERE a.Days >= curdate() - INTERVAL 30 DAY) b
这个子查询是我在 stackoverflow 上看到的。它有效地生成从当前日期起过去 1000 天的列表。最后 WHERE 子句中的时间间隔(当前为 30)决定了返回哪些天;最大值为 1000。可以轻松修改此查询以返回 100 年的日期,但 1000 应该适用于大多数情况。
LEFT JOIN your_table
ON date = b.Days
ORDER BY b.Days;
这是将包含分数的表格带入其中的部分。您与日期生成器查询中选择的日期范围进行比较,以便能够在需要的地方填写 0(分数将设置为NULL
最初,因为它是LEFT JOIN
; 这在 select 语句中是固定的)。我也按日期订购,只是因为。这是偏好,您也可以按分数排序。
在ORDER BY
您可以轻松加入您在编辑中提到的用户信息的表格之前,添加最后一个要求。
我希望这个版本的查询可以帮助某人。谢谢阅读。