如何将mysql表行转换为列

如何将mysql表行转换为列,mysql,sql,pivot,Mysql,Sql,Pivot,以下是我当前的mysql表的外观: PunchID EmpID PunchEvent PunchDateTime 1 0456 clockin 5/14/2013 8:36:26 AM 48 0456 breakout 5/14/2013 12:01:29 PM 53 0456 breakin 5/14/2013 12:28:31 PM 54 0456 clockout 5/14/2013 2:2

以下是我当前的mysql表的外观:

PunchID EmpID   PunchEvent  PunchDateTime
1       0456    clockin     5/14/2013 8:36:26 AM
48      0456    breakout    5/14/2013 12:01:29 PM
53      0456    breakin     5/14/2013 12:28:31 PM
54      0456    clockout    5/14/2013 2:28:33 PM
57      0456    clockin     5/15/2013 7:38:34 AM
58      0456    breakout    5/15/2013 7:38:39 AM
59      0456    breakin     5/15/2013 7:38:41 AM
60      0456    clockout    5/15/2013 7:38:42 AM
现在,我想返回一个结果集,该结果集根据一周中的某一天进行分组,如下所示:

Day       ClockIn      BreakOut    BreakIn      ClockOut
Tuesday   8:36:26 AM  12:01:29 PM  12:28:31 PM  2:28:33 PM
Wednesday 7:38:34 AM  etc, etc...
这是我目前的问题。但它每天只会返回第一拳

SELECT DATE_FORMAT(PunchDateTime, '%W') as day, PunchEvent, DATE_FORMAT(PunchDateTime, '%l:%m:%s %p') as time FROM timeclock_punchlog WHERE EmpID = '0456' GROUP BY DATE(PunchDateTime) ORDER BY PunchDateTime ASC;
有人能帮我吗? 谢谢 迈克

输出

╔═══════════╦═════════════╦═════════════╦═════════════╦═════════════╗
║    DAY    ║   CLOCKIN   ║  BREAKOUT   ║   BREAKIN   ║  CLOCKOUT   ║
╠═══════════╬═════════════╬═════════════╬═════════════╬═════════════╣
║ Tuesday   ║ 08:36:26 AM ║ 12:01:29 PM ║ 12:28:31 PM ║ 02:28:33 PM ║
║ Wednesday ║ 07:38:34 AM ║ 07:38:39 AM ║ 07:38:41 AM ║ 07:38:42 AM ║
╚═══════════╩═════════════╩═════════════╩═════════════╩═════════════╝

[ [ [1]: [2]:我猜如果每天有多个PunchEvent,这就不起作用了?你说的
每天有多个PunchEvent是什么意思?
?如果我周二有3个'breakin'和3个'breakout',它会显示出来吗?如果你有这些记录,输出会是什么样子?嗯,我想列的数量会是任意的这可能是MySQL不可能做到的。
╔═══════════╦═════════════╦═════════════╦═════════════╦═════════════╗
║    DAY    ║   CLOCKIN   ║  BREAKOUT   ║   BREAKIN   ║  CLOCKOUT   ║
╠═══════════╬═════════════╬═════════════╬═════════════╬═════════════╣
║ Tuesday   ║ 08:36:26 AM ║ 12:01:29 PM ║ 12:28:31 PM ║ 02:28:33 PM ║
║ Wednesday ║ 07:38:34 AM ║ 07:38:39 AM ║ 07:38:41 AM ║ 07:38:42 AM ║
╚═══════════╩═════════════╩═════════════╩═════════════╩═════════════╝