我有两张表,我用 UNION ALL 查询 - 一张用于 Android,一张用于 iPhone。每个表都有自己的设备字段(“android”或“iphone”)。
我使用GROUP_CONCAT(DISTINCT `device` ORDER BY `device` SEPARATOR ', ') AS `device`
了几次,每次按另一列分组时(例如日期、用户 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,我选择了设备的 GROUP_CONCAT(不是直接的设备),因为有些日期同时购买了 Android 和 iPhone。选择还包括 WHERE 或 HAVING 让用户按特定日期过滤,加入日期的用户数量等。当我计算总数时,我在设备上有 GROUP_CONCAT,这本身就是一个 GROUP_CONCAT 函数。结果可能类似于“android, android, iphone, iphone”,因为有只有 Android 的日期、只有 iPhone 的日期和两者都有的日期(其他查询只能有这些选项中的一个或一些)。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);
}
但我正在寻找一种在 MySQL 中执行此操作的方法(返回的结果在“Android”中也应该有一个大写 A,在“iPhone”中应该有一个大写 P,但我不介意为此使用 PHP 函数) .
顺便说一句,总的 SELECT 查询是一个 SELECT .... FROM (SELECT .... FROM (.... UNION ALL ....) GROUP BY ....) 并且 GROUP BY 在里面。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进行 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,乌里。