MySQL中的GROUP_CONCAT - 如何包含不同的值?

时间:2012-12-16 15:36:04

标签: mysql sql distinct group-concat

我有两个表,我用UNION ALL查询 - 一个用于Android,一个用于iPhone。每个表都有自己的设备字段(“android”或“iphone”)。

我每次使用GROUP_CONCAT(DISTINCT `device` ORDER BY `device` SEPARATOR ', ') AS `device`几次,每次我按其他列分组时(例如date,user_id等)。我也使用相同的GROUP_CONCAT来计算总数。

问题是,当我按日期分组时,我选择设备的GROUP_CONCAT(而不是直接设备),因为有些日期有Android和iPhone购买。 select还包括WHERE或HAVING让用户按特定日期过滤,加入日期的用户数等。当我计算总数时,我在设备上有GROUP_CONCAT,它本身就是GROUP_CONCAT函数。结果可能是“android,android,iphone,iphone”,因为只有Android的日期,只有iPhone的日期和两者的日期(其他查询只能有一个或一些这些选项)。我正在寻找一种方法将此结果转换为“android,iphone”。

目前我正在使用PHP函数:

    private function get_device_human_string($fp_device_computer_string)
    {
        $devices= array(
            'android' => 'Android',
            'iphone' => 'iPhone'
        );
        $device_computer_string= strtolower($fp_device_computer_string);
        $ret= array();
        foreach ($devices as $device_key => $device_human_string)
        {
            if (strpos($device_computer_string, $device_key) !== false)
            {
                $ret[]= $device_human_string;
            }
        }
        return implode(', ', $ret);
    }

但是我正在寻找一种方法在MySQL中执行它(返回的结果也应该在“Android”中有一个大写字母A和在“iPhone”中有一个大写字母P,但是我不介意使用PHP函数为此)。

顺便说一下,总的SELECT查询是SELECT .... FROM(SELECT .... FROM(.... UNION ALL ....)GROUP BY ....)和GROUP BY是内。如果我没有在内部查询中包含设备,那么外部查询中将没有设备到GROUP_CONCAT。所以我不能直接在设备上使用GROUP_CONCAT。

编辑:这是我正在使用的查询示例(WHERE和HAVING可以根据用户的过滤器进行更改):

SELECT
  COUNT(1) AS `count`,
  SUM(`joined`) AS `joined`,
  SUM(`users`) AS `users`,
  SUM(`purchases`) AS `purchases`,
  SUM(`credits_purchased`) AS `credits_purchased`,
  GROUP_CONCAT(DISTINCT `device` ORDER BY `device` SEPARATOR ', ') AS `device`,
  GROUP_CONCAT(DISTINCT `application` ORDER BY `application` SEPARATOR ', ') AS `application`
FROM (
  SELECT
    `all_purchases`.*,
    IF(`users_joined`.`joined` IS NOT NULL, `users_joined`.`joined`, 0) AS `joined`,
    'esalne' AS `application`
  FROM (
    SELECT
      DATE(`date`) AS `date`,
      COUNT(DISTINCT `user_id`) AS `users`,
      COUNT(1) AS `purchases`,
      SUM(
        IF(
          STRCMP(SUBSTRING(`item`, 1, CHAR_LENGTH('esalne.sip.')), 'esalne.sip.')=0,
          CAST(SUBSTRING(`item`, CHAR_LENGTH('esalne.sip.')+1) AS UNSIGNED INTEGER),
          0
        )
      ) AS `credits_purchased`,
      GROUP_CONCAT(DISTINCT `device` ORDER BY `device` SEPARATOR ', ') AS `device`
    FROM (
      (
        SELECT 
         `id`,
          `item`,
          `date`,
          `status`,
          `user` AS `user_id`,
          NULL AS `transaction_id`,
          'android' AS `device`
        FROM `enswitch_android_purchases`
        WHERE (`status`=1)
          AND (`user` IS NOT NULL)
      )
      UNION ALL
      (
        SELECT
          `id`,
          `item`,
          `date`,
          `status`,
          `user` AS `user_id`,
          `transaction_id`,
          'iphone' AS `device`
        FROM `enswitch_iphone_purchases`
        WHERE (`status`=1)
          AND (`user` IS NOT NULL)
      )
    ) AS `all_purchases`
    GROUP BY DATE(`date`)
  ) AS `all_purchases`
  LEFT JOIN (
    SELECT
      `join_date` AS `date`,
      COUNT(1) AS `joined`
    FROM (
      SELECT
        `user_id`,
        MIN(DATE(`date`)) AS `join_date`
      FROM (
        (
          SELECT
            `id`,
            `item`,
            `date`,
            `status`,
            `user` AS `user_id`,
            NULL AS `transaction_id`,
            'android' AS `device`
          FROM `enswitch_android_purchases`
          WHERE (`status`=1)
            AND (`user` IS NOT NULL)
        )
        UNION ALL
        (
          SELECT
            `id`,
            `item`,
            `date`,
            `status`,
            `user` AS `user_id`,
            `transaction_id`,
            'iphone' AS `device`
          FROM `enswitch_iphone_purchases`
          WHERE (`status`=1)
            AND (`user` IS NOT NULL)
        )
      ) AS `all_purchases`
      GROUP BY `user_id`
    ) AS `users`
    GROUP BY `date`
  ) AS `users_joined` ON (`all_purchases`.`date`=`users_joined`.`date`)
  HAVING (`date` >= DATE_ADD('2012-11-01', INTERVAL 0 DAY))
     AND (`date` < DATE_ADD('2012-11-30', INTERVAL 1 DAY))
     AND (`joined` >= 2)
     AND (`purchases` <= 30)
     AND (`credits_purchased` <= 3000)
) AS `all_purchases_by_dates`

谢谢, URI。

1 个答案:

答案 0 :(得分:0)

只是一个草案来说明一个想法:

select d1.device, d2.device, ...
from (
    select 'android' as device
    union
    select 'iphone' as device 
    ) as devices
left outer join mydata d1 on d1.device = devices.device and devices.device = 'android'
left outer join mydata d2 on d2.device = devices.device and devices.device = 'iphone'
inner join ...
where ...

使用'dummy'表和外连接,您可以获取androidiphone的所有记录,以便两个设备都是非null或至少其中一个非null。 如果您愿意,可以将d1.deviced2.device连接起来,或者以任何其他合适的方式对其group by进行评估。