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我有表:的MySQL 5.6:GROUP_CONCAT帮助寻求
CREATE TABLE IF NOT EXISTS `buildingAccess` (
`id` int(10) unsigned NOT NULL,
`building` varchar(16) NOT NULL,
`person` varchar(16) NOT NULL,
`enteryDate` datetime NOT NULL,
`exitDate` datetime DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;
INSERT INTO `buildingAccess` (`id`, `building`, `person`, `enteryDate`, `exitDate`) VALUES
(1, 'Lot B-3', 'Alice Jones', '2015-11-10 05:29:14', '2015-11-10 15:18:42'),
(3, 'Lot B-3', 'Alice Jones', '2015-11-11 07:11:27', '2015-11-11 12:43:34'),
(7, 'Lot B-3', 'Alice Jones', '2015-12-10 07:11:27', '2015-12-11 12:43:34'),
(2, 'Lot B-3', 'Bill Mayhew', '2015-11-10 10:29:14', '2015-11-10 12:18:42'),
(4, 'Lot B-3', 'Bill Mayhew', '2015-11-12 09:10:27', '2015-11-13 02:43:34'),
(8, 'Lot B-3', 'Bill Mayhew', '2015-11-12 09:10:27', '2015-11-13 02:43:34'),
(5, 'Lot B-3', 'Charlotte Ahn', '2015-12-01 05:29:14', NULL),
(6, 'Lot B-3', 'Dennis Lowe', '2015-12-10 10:29:14', '2015-12-10 12:18:42');
CREATE TABLE IF NOT EXISTS `buildingNotes` (
`building` varchar(16) NOT NULL,
`observer` varchar(16) NOT NULL,
`observationDate` datetime NOT NULL,
`note` varchar(64) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `buildingNotes` (`building`, `observer`, `observationDate`, `note`) VALUES
('Lot B-3', 'Alice Jones', '2015-11-10 05:32:12', 'burned out light on pole South-22'),
('Lot B-3', 'Alice Jones', '2015-11-10 05:39:12', 'burned out light on pole West-7'),
('Lot B-3', 'Alice Jones', '2015-11-10 05:42:12', 'overfull trash can near pole North-11'),
('Lot B-3', 'Charlotte Ahn', '2015-12-01 06:09:14', 'change drawr running low at gate 3');
ALTER TABLE `buildingAccess`
ADD PRIMARY KEY (`id`), ADD KEY `building` (`building`,`person`,`enteryDate`,`exitDate`);
ALTER TABLE `buildingNotes`
ADD KEY `building` (`building`,`observer`,`observationDate`,`note`);
ALTER TABLE `buildingAccess`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=9;
我的目标是返回在buildingAccess
表中的所有记录列表的查询。每个应该有一个notes
字段,即buildingAccess.enteryDate
和buildingAccess.exitDate
括起来的记录日期/时间中所有buildingNotes.note
条目的GROUP_CONCAT
。
我已经尝试了一些东西,但我坚持在:
select
BA.building,
BA.person,
BA.enteryDate,
IFNULL(BA.exitDate, NOW()),
IFNULL(
GROUP_CONCAT(
'<p>',
BN.observationDate, ': ',
BN.observer, ': ', BN.note,
'</p>'
ORDER BY BN.observationDate ASC
SEPARATOR ''
),
''
)
from
buildingAccess BA
LEFT JOIN buildingNotes BN ON
BN.building = BA.building
AND BN.observationDate BETWEEN BA.enteryDate AND BA.exitDate
group by BN.building
这将返回:
+----------+---------------+---------------------+---------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| building | person | enteryDate | exitDate | observations |
+----------+---------------+---------------------+---------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Lot B-3 | Charlotte Ahn | 2015-12-01 05:29:14 | 2016-01-23 23:04:04 | |
| Lot B-3 | Alice Jones | 2015-11-10 05:29:14 | 2015-11-10 15:18:42 | <p>2015-11-10 05:32:12: Alice Jones: burned out light on pole South-22</p><p>2015-11-10 05:39:12: Alice Jones: burned out light on pole West-7</p><p>2015-11-10 05:42:12: Alice Jones: overfull trash can near pole North-11</p> |
+----------+---------------+---------------------+---------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
我希望看到所有的其他buildingAccess
记录,即使没有buildingNotes
记录。
我假设我不是“按组合”的正确的东西,但我还没有找到正确的组合。
指针?
您可以添加whta作为您当前数据集示例的理想结果吗? –
请阅读https://dev.mysql.com/doc/refman/5.7/en/group-by-handling.html所谓的* extension *到GROUP BY的MySQL给你的印象是你只能使用一列的ref group by子句,但在select子句中有更多非聚合列。这是假的,结果可能是假的,尝试你的查询,但这次** GROUP BY BA.building,BA.person,BA.enteryDate **注意到BA.building的变化 –