坑爹的sql

本文介绍了一种使用SQL进行数据统计的方法,包括不同状态和超时状态的总数统计,并通过复杂查询实现了更细致的数据分析。

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统计不同状态,不同超时状态的总数
select verify_user,timeout, count(timeout), sign_status from verify_sign_info where sign_time > '2014-01-08 00:00:00' group by verify_user, sign_status, timeout;
+-------------+---------+----------------+-------------+
| verify_user | timeout | count(timeout) | sign_status |
+-------------+---------+----------------+-------------+
| 500000679 | 0 | 36 | 0 |
| 500000679 | 0 | 9 | 2 |
| 500000679 | 1 | 2 | 2 |
| 500000679 | 0 | 9 | 30 |
| 500000679 | 1 | 2 | 30 |
| 500000679 | 0 | 18 | 31 |
| 500001357 | 0 | 1 | 2 |
| 500001357 | 0 | 2 | 31 |
+-------------+---------+----------------+-------------+




SELECT uid,
MAX(CASE WHEN timeout = 1 and status = 30 THEN quit_count ELSE 0 END) AS 'pre_time_out',
MAX(CASE WHEN timeout = 1 and status = 31 THEN quit_count ELSE 0 END) AS 're_time_out',
MAX(CASE WHEN status = 0 THEN quit_count ELSE 0 END) AS 'pre_quit_count',
MAX(CASE WHEN status = 2 THEN quit_count ELSE 0 END) AS 're_quit_count'
FROM (SELECT verify_user AS uid, timeout, COUNT(sign_status) AS quit_count, sign_status AS status FROM verify_sign_info WHERE sign_time > '2014-01-08 00:00:00' and verify_user = 500000679 GROUP BY verify_user, sign_status, timeout) AS a GROUP BY uid;
+-----------+--------------+-------------+----------------+---------------+
| uid | pre_time_out | re_time_out | pre_quit_count | re_quit_count |
+-----------+--------------+-------------+----------------+---------------+
| 500000679 | 4 | 7 | 36 | 11 |
+-----------+--------------+-------------+----------------+---------------+
1 row in set (0.17 sec)


group_concat


不删除,有则更新无则插入

@SQL("INSERT INTO $TABLE(card_id, update_time) VALUES(:1, :2) ON DUPLICATE KEY UPDATE update_time = :2, scount = scount + 1")
int saveCardSearchInfo(@ShardBy long cardId, Date updateTime);
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