Question

我有两个表可供使用，USERS，METRICS_DAILY

的MySQL＆GT;描述USERS;

+---------------------------+---------------------+------+-----+------------------------------------------+----------------+
    | Field                     | Type                | Null | Key | Default                                  | Extra          |
    +---------------------------+---------------------+------+-----+------------------------------------------+----------------+
    | USER_ID                   | int(11) unsigned    | NO   | PRI | NULL                                     | auto_increment |
    | CREATED                   | timestamp           | NO   |     | CURRENT_TIMESTAMP|
+---------------------------+---------------------+------+-----+------------------------------------------+----------------+

的MySQL＆GT;描述METRICS_DAILY;

+---------+----------------------+------+-----+---------+-------+
| Field   | Type                 | Null | Key | Default | Extra |
+---------+----------------------+------+-----+---------+-------+
| USER_ID | int(11) unsigned     | NO   | PRI | NULL    |       |
| EVENT   | tinyint(3) unsigned  | NO   | PRI | NULL    |       |
| DATE    | date                 | NO   | PRI | NULL    |       |
| COUNT   | smallint(5) unsigned | NO   |     | 0       |       |
+---------+----------------------+------+-----+---------+-------+

我需要选择计数不同的USER_ID，其中DATE = DATE（NOW（））和（x，y，z）和USERS.CREATED中的EVENT是month1，month2，month3，... monthCURRENT。

我几乎完全可以在METRICS_DAILY表中完成它，因为我将DATE与USERS.CREATED对应，只是间接地。

Created是一个完整的时间戳。我需要按月CREATED将其分解为同类群组。

这是一个开始：

SELECT count（distinct METRICS_DAILY.USER_ID），CREATED，MONTH（CREATED），DATE from METRICS_DAILY LEFT JOIN USERS ON（METRICS_DAILY.USER_ID = USERS.USER_ID）EVENT＆gt; 10月和DATE = DATE（NOW（））按MONTH（创建）分组;

+---------------------------------------+---------------------+----------------+------------+
| count(distinct METRICS_DAILY.USER_ID) | CREATED             | MONTH(CREATED) | DATE       |
+---------------------------------------+---------------------+----------------+------------+
|                                     3 | 2013-01-14 09:35:16 |              1 | 2013-01-18 |
|                                    16 | 2012-12-15 07:07:49 |             12 | 2013-01-18 |
+---------------------------------------+---------------------+----------------+------------+

2行（0.00秒）

Answer 1

这样的东西？

SELECT MONTHNAME(u.CREATED), YEAR(u.CREATED), COUNT(*) AS UserCount
FROM METRICS_DAILY md
JOIN USERS u
ON u.USER_ID = md.USER_ID
WHERE md.DATE = NOW() AND md.EVENT in (x,y,z)
GROUP BY MONTHNAME(u.CREATED), YEAR(u.CREATED)

Answer 2

SELECT DATE(`METRICS_DAILY`.`DATE`) AS `Day of DATE`, `METRICS_DAILY`.`EVENT` AS `EVENT`, COUNT(DISTINCT `METRICS_DAILY`.`USER_ID`) AS `Number of unique User Id`
  FROM METRICS_DAILY
  JOIN USERS ON `METRICS_DAILY`.`USER_ID` = `USERS`.`USER_ID`
  WHERE (`METRICS_DAILY`.`EVENT` >= "31") AND (`METRICS_DAILY`.`DATE` BETWEEN "2012-12-01" AND "2012-12-31") AND (`USERS`.`CREATED` BETWEEN CAST("2012-12-01" AS DATETIME) AND CAST(CONCAT("2012-12-31", " 23:59:59") AS DATETIME))
  GROUP BY DATE(`METRICS_DAILY`.`DATE`), `METRICS_DAILY`.`EVENT`
  ORDER BY `Day of DATE` ASC, `EVENT` ASC;

用于群组分析的MySQL JOIN

2 个答案: