Sto*_*ler 5 mysql sql heidisql
语境:
message有列from_user_id和to_user_id表格内容:
+-------------------------------------------------+--------------+------------+
| text | from_user_id | to_user_id |
+-------------------------------------------------+--------------+------------+
| Hi there! | 13 | 14 | <- Liara to Penelope
| Oh hi, how are you? | 14 | 13 | <- Penelope to Liara
| Fine, thanks for asking. How are you? | 13 | 14 | <- Liara to Penelope
| Could not be better! How are things over there? | 14 | 13 | <- Penelope to Liara
| Hi, I just spoke to Penelope! | 13 | 15 | <- Liara to Zara
| Oh you did? How is she? | 15 | 13 | <- Zara to Liara
| Liara told me you guys texted, how are things? | 15 | 14 | <- Zara to Penelope
| Fine, she's good, too | 14 | 15 | <- Penelope to Zara
+-------------------------------------------------+--------------+------------+
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from_user_id我的尝试是按和进行分组to_user_id,但显然我得到了用户收到的一组消息和用户发送的另一组消息。
SELECT text, from_user_id, to_user_id,created FROM message
WHERE from_user_id=13 or to_user_id=13
GROUP BY from_user_id, to_user_id
ORDER BY created DESC
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让我明白:
+-------------------------------+--------------+------------+---------------------+
| text | from_user_id | to_user_id | created |
+-------------------------------+--------------+------------+---------------------+
| Oh you did? How is she? | 15 | 13 | 2017-09-01 21:45:14 | <- received by Liara
| Hi, I just spoke to Penelope! | 13 | 15 | 2017-09-01 21:44:51 | <- send by Liara
| Oh hi, how are you? | 14 | 13 | 2017-09-01 17:06:53 |
| Hi there! | 13 | 14 | 2017-09-01 17:06:29 |
+-------------------------------+--------------+------------+---------------------+
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虽然我想要:
+-------------------------------+--------------+------------+---------------------+
| text | from_user_id | to_user_id | created |
+-------------------------------+--------------+------------+---------------------+
| Oh you did? How is she? | 15 | 13 | 2017-09-01 21:45:14 | <- Last message of conversation with Zara
| Oh hi, how are you? | 14 | 13 | 2017-09-01 17:06:53 |
+-------------------------------+--------------+------------+---------------------+
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我怎样才能做到这一点?
编辑:使用leastorgreatest也不会产生所需的结果。它确实正确地对条目进行了分组,但正如您在结果中看到的那样,最后一条消息不正确。
+----+-------------------------------------------------+------+---------------------+--------------+------------+
| id | text | read | created | from_user_id | to_user_id |
+----+-------------------------------------------------+------+---------------------+--------------+------------+
| 8 | Oh you did? How is she? | No | 2017-09-01 21:45:14 | 15 | 13 |
| 5 | Could not be better! How are things over there? | No | 2017-09-01 17:07:47 | 14 | 13 |
+----+-------------------------------------------------+------+---------------------+--------------+------------+
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执行您想要的操作的一种方法是使用相关子查询来查找匹配对话的最小创建日期/时间:
SELECT m.*
FROM message m
WHERE 13 in (from_user_id, to_user_id) AND
m.created = (SELECT MAX(m2.created)
FROM message m2
WHERE (m2.from_user_id = m.from_user_id AND m2.to_user_id = m.to_user_id) OR
(m2.from_user_id = m.to_user_id AND m2.to_user_id = m.from_user_id)
)
ORDER BY m.created DESC
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