在mysql查询中显示缺少日期的计数 [英] Display counts for missing dates in mysql query
问题描述
在运行以下查询后:
SELECT
DATE_FORMAT( added_datetime, '%Y-%m-%d' ) AS date,
SUM( gender = 'male' ) AS male,
SUM( gender = 'female' ) AS female
FROM social_user
WHERE social_network = 'FBuser'
AND date( added_datetime ) BETWEEN date('2014-11-18') AND date('2014-11-20')
GROUP BY date( added_datetime )
我得到这个结果:
date | male | female
------------+------+--------
2014-11-19 | 2 | 0
但我需要一些不同于此截图的东西:
But I need something different like this screenshot:
date | male | female
------------+------+--------
2014-11-18 | 0 | 0
2014-11-19 | 1 | 0
2014-11-20 | 2 | 0
2014-11-21 | 0 | 0
...
...
我需要我的所有日期结果集是我在运营商之间使用的。
I need all date in my result set which is I used in my between operator.
对不起,我的英文不好,附加图片的声誉不足。
Sorry for my poor English and I don't have enough reputation for attached image.
推荐答案
数据中不存在的日期不会神奇地显示在结果中。一个解决方案是创建一个包含很长时间内所有日期的日期表:
The dates that do not exist in your data cannot magically appear in the results. One solution is to create a table of dates that contains all the dates inside a very long timespan:
CREATE TABLE datelist (DATE DATETIME NOT NULL PRIMARY KEY);
-- dates in the past
INSERT INTO datelist VALUES ('2014-11-18');
INSERT INTO datelist VALUES ('2014-11-19');
INSERT INTO datelist VALUES ('2014-11-20');
INSERT INTO datelist VALUES ('2014-11-21');
-- dates in the future
并在您的JOIN查询中使用它:
And use it in your JOIN query:
SELECT
datelist.date,
SUM(gender = 'male') AS male,
SUM(gender = 'female') AS female
FROM datelist
LEFT JOIN social_user ON datelist.date = DATE(social_user.added_datetime)
WHERE datelist.date BETWEEN '2014-11-18' AND '2014-11-20' AND (
social_user.id /* or whatever primary key */ IS NULL OR social_network = 'FBuser'
)
GROUP BY datelist.date
示例输出:
date male female
------------------- ---- ------
2014-11-18 00:00:00 NULL NULL
2014-11-19 00:00:00 2 0
2014-11-20 00:00:00 1 2
在上面的例子中,两个NULL列表示没有匹配的社会的用户
当天的记录。 WHERE
子句被调整为包含这些行。
In the above example, the two NULL columns indicates that there is no matching social_user
record for that day. The WHERE
clause is tweaked to include such rows.
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