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plurals

PO
primarykey
Id
13548525
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2012-11-25T05:17:06.827
FavoriteCount
0
LastActivityDate
2012-11-25T05:26:39.263
LastEditDate
2012-11-25T05:26:39.263
LastEditorUserId
913097
OwnerUserId
913097
ParentId
13501026
PostTypeId
2
Score
0
ViewCount
0
LastEditorDisplayName
text
Body
If you want to get results based on similarities, the following will give you a result but I had to write all the combinations so in real case scenario you will need to have <code>n! + 1</code>* conditions. <blockquote> n! stands for "factorial" and for example 3! means 3 * 2 * 1 = 6 and +1 is for the whole match (3 in your case) </blockquote> <pre><code>SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 1 AS '_Age',1 AS '_Work',1 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Age`,`Work`,`Eyes` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 1 AS '_Age',1 AS '_Work',0 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Age`,`Work` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 1 AS '_Age',0 AS '_Work',1 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Age`,`Eyes` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 0 AS '_Age',1 AS '_Work',1 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Work`,`Eyes` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 1 AS '_Age',0 AS '_Work',0 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Age` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 0 AS '_Age',1 AS '_Work',0 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Work` HAVING `matches` > 1 UNION SELECT GROUP_CONCAT(`Name` SEPARATOR ' - ') AS 'Names', COUNT(*) AS 'matches', 0 AS '_Age',0 AS '_Work',1 AS '_Eyes' FROM `my_table` WHERE `Age`='young' OR `Work`='home' OR `Eyes`='blue' GROUP BY `Eyes` HAVING `matches` > 1 ORDER BY `_Age`+`_Work`+`_Eyes` DESC, `matches` DESC </code></pre> And the result will be <pre><code>| Names | matches | _Age | _Work | _Eyes | +-----------------------------+---------+------+-------+-------+ | Mike - Marie | 2 | 1 | 1 | 1 | | John - Mike - Marie | 3 | 1 | 1 | 0 | | Mike - Marie | 2 | 1 | 0 | 1 | | John - Irvin | 2 | 0 | 1 | 1 | | Mike - Marie | 2 | 0 | 1 | 1 | | John - Mike - Irvin - Marie | 4 | 0 | 1 | 0 | | John - Mike - Marie | 3 | 1 | 0 | 0 | | Mike - Marie | 2 | 0 | 0 | 1 | | John - Irvin | 2 | 0 | 0 | 1 | </code></pre> This is not extremely practical but I don't know how you can get name combinations by any other approach.
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singulars
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1. This table or related slice is empty.
PostParentId
1. POmysql: Limit to maximum equal results of multiple queries
 singulars
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 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. USinhan
UserOwnerUserId
1. USinhan
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PostLinksRelatedPostIdPostId
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PostsAcceptedAnswerId
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PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. This table or related slice is empty.
CommentsPostId
1. This table or related slice is empty.

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