Mysql “杰瑞”,0,“杰瑞”,0), (405669,“霍巴特飓风女性”、“墨尔本之星女性”、“2016-01-16”、“03:30:00”、“2016-01-15 21:30:00”、“315、0、0”、“2015-11-13”、“1447479213”、“2015-11-13”、“杰里”、“0”、“杰里”0), (4057669,“珀斯烤焦女”,“墨尔本叛徒女”,“2016-01-16”,“04:10:00”,“2016-01-15 22:10:00”,“320,0,0”,“2015-11-13”,“1447479324”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4058669,“悉尼雷霆女声”,“墨尔本明星女声”,“2016-01-16”,“23:00:00”,“2016-01-16 17:00:00”,“321,0,0”,“2015-11-13”,“1447479527”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4059669,“悉尼六人队女性”,“霍巴特飓风女性”,“2016-01-16”,“23:00:00”,“2016-01-16 17:00:00”,“322,0,0”,“2015-11-13”,“1447479733”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4060669,“墨尔本叛徒女性”,“阿德莱德罢工女性”,“2016-01-16”,“23:30:00”,“2016-01-16 17:30:00”,“320,0,0”,“2015-11-13”,“1447479830”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4061669,“墨尔本叛徒女性”、“珀斯·斯科切斯女性”、“2016-01-17”、“04:10:00”、“2016-01-16 22:10:00”、“320、0、0”、“2015-11-13”、“1447479954”、“2015-11-13”、“杰里”、“0”、“杰里”0), (4064669,“半决赛”,“半决赛”,“2016-01-21”,“00:00:01”,“2016-01-20 18:00:01”,“323,0,0”,“2015-11-14”,“1447523483”,“2015-11-14”,“杰里”,“0”,“杰里”,“0”), (4065669,“半决赛”,“半决赛”,“2016-01-22”,“00:00:01”,“2016-01-21 18:00:01”,“323,0,0”,“2015-11-14”,“1447523558”,“2015-11-14”,“杰里”,“0”,“杰里”,0), (4066669,“最终”,“最终”,“2016-01-24”,“00:00:01”,“2016-01-23 18:00:01”,“323,0,0”,“2015-11-14”,“1447523614”,“2015-11-14”,“杰里”,“0”,“杰里”,“0”);

Mysql “杰瑞”,0,“杰瑞”,0), (405669,“霍巴特飓风女性”、“墨尔本之星女性”、“2016-01-16”、“03:30:00”、“2016-01-15 21:30:00”、“315、0、0”、“2015-11-13”、“1447479213”、“2015-11-13”、“杰里”、“0”、“杰里”0), (4057669,“珀斯烤焦女”,“墨尔本叛徒女”,“2016-01-16”,“04:10:00”,“2016-01-15 22:10:00”,“320,0,0”,“2015-11-13”,“1447479324”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4058669,“悉尼雷霆女声”,“墨尔本明星女声”,“2016-01-16”,“23:00:00”,“2016-01-16 17:00:00”,“321,0,0”,“2015-11-13”,“1447479527”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4059669,“悉尼六人队女性”,“霍巴特飓风女性”,“2016-01-16”,“23:00:00”,“2016-01-16 17:00:00”,“322,0,0”,“2015-11-13”,“1447479733”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4060669,“墨尔本叛徒女性”,“阿德莱德罢工女性”,“2016-01-16”,“23:30:00”,“2016-01-16 17:30:00”,“320,0,0”,“2015-11-13”,“1447479830”,“2015-11-13”,“杰里”,“0”,“杰里”,0), (4061669,“墨尔本叛徒女性”、“珀斯·斯科切斯女性”、“2016-01-17”、“04:10:00”、“2016-01-16 22:10:00”、“320、0、0”、“2015-11-13”、“1447479954”、“2015-11-13”、“杰里”、“0”、“杰里”0), (4064669,“半决赛”,“半决赛”,“2016-01-21”,“00:00:01”,“2016-01-20 18:00:01”,“323,0,0”,“2015-11-14”,“1447523483”,“2015-11-14”,“杰里”,“0”,“杰里”,“0”), (4065669,“半决赛”,“半决赛”,“2016-01-22”,“00:00:01”,“2016-01-21 18:00:01”,“323,0,0”,“2015-11-14”,“1447523558”,“2015-11-14”,“杰里”,“0”,“杰里”,0), (4066669,“最终”,“最终”,“2016-01-24”,“00:00:01”,“2016-01-23 18:00:01”,“323,0,0”,“2015-11-14”,“1447523614”,“2015-11-14”,“杰里”,“0”,“杰里”,“0”);,mysql,Mysql,我假设您的匹配项总是按升序(按日期)插入,以便第一个匹配项的匹配度最低 所以试试这个 SELECT m.MatchIDAuto, COUNT( * ) AS row_number FROM Match2 m JOIN Match2 m2 ON m.MatchIDAuto >= m2.MatchIDAuto WHERE m.MatchIDAuto = 4050 GROUP BY m.MatchIDAuto 输出 +-------------+------------+ | MatchIDA

我假设您的匹配项总是按升序(按日期)插入,以便第一个匹配项的匹配度最低

所以试试这个

SELECT m.MatchIDAuto, COUNT( * ) AS row_number
FROM Match2 m
JOIN Match2 m2 ON m.MatchIDAuto >= m2.MatchIDAuto
WHERE m.MatchIDAuto = 4050
GROUP BY m.MatchIDAuto
输出

+-------------+------------+
| MatchIDAuto | row_number |
+-------------+------------+
|        4050 |         15 |
+-------------+------------+
+-------------+------------+
| MatchIDAuto | row_number |
+-------------+------------+
|        4050 |         15 |
+-------------+------------+