我想为我的查询合并来自两个不同列的条件。这是我最初的问题。你可以在sqlfiddle.com上测试它。

-- creating database first for test data
create table attendance(Id int, DateTime datetime, Door char(20));
INSERT INTO attendance VALUES
(    1,   '2016-01-01 08:00:00',  'In'),
(    2,   '2016-01-01 09:00:00',  'Out'),
(    3,   '2016-01-01 09:15:00',  'In'),
(    4,   '2016-01-01 09:30:00',  'In'),
(    5,   '2016-01-01 10:00:00',  'Out'),
(    6,   '2016-01-01 15:00:00',  'In');

SELECT * FROM attendance;
SELECT
@id:=@id+1 Id,
MAX(IF(Door = 'In', DateTime, NULL)) `Check In`,
MAX(IF(Door = 'Out', DateTime, NULL)) `Check Out`
FROM
(SELECT
*,
CASE
    WHEN
        (Door != 'Out' AND @last_door = 'Out')
    THEN @group_num:=@group_num+1
    ELSE @group_num END door_group,
    @last_door:=Door
FROM attendance
JOIN (SELECT @group_num:=1,@last_door := NULL) a
) t JOIN (SELECT @id:=0) b
GROUP BY t.door_group
HAVING SUM(Door = 'In') > 0 AND SUM(Door = 'Out') > 0;

//output
+------+---------------------+---------------------+
| Id   | Check In            | Check Out           |
+------+---------------------+---------------------+
|    1 | 2016-01-01 08:00:00 | 2016-01-01 09:00:00 |
|    2 | 2016-01-01 09:30:00 | 2016-01-01 10:00:00 |
+------+---------------------+---------------------+

从上面的查询中,我想再添加一列。
-- creating database first for test data
create table attendance(Id int, DateTime datetime, Door char(20), Active_door char(20));
INSERT INTO attendance VALUES
(    1,   '2016-01-01 08:00:00',  'In', ''),
(    2,   '2016-01-01 09:00:00',  'Out', ''),
(    3,   '2016-01-01 09:15:00',  'In', ''),
(    4,   '2016-01-01 09:30:00',  'In', ''),
(    5,   '2016-01-01 09:35:00',  '', 'On'),
(    6,   '2016-01-01 10:00:00',  'Out', ''),
(    7,   '2016-01-01 16:00:00',  '', 'Off');

这是我对查询所做的更改,但它不起作用。
SELECT * FROM attendance;
SELECT
@id:=@id+1 Id,
MAX(IF(Door = 'In' OR Active_door = "On", DateTime, NULL)) `Check In`,
MAX(IF(Door = 'Out' OR Active_door = "Off", DateTime, NULL)) `Check Out`
FROM
(SELECT
*,
CASE
    WHEN
        ((Door != 'Out' OR Active_door != "Off") AND (@last_door = 'Out' OR  @last_door = 'Off'))
    THEN @group_num:=@group_num+1
    ELSE @group_num END door_group,
    @last_door:=Door
FROM attendance
JOIN (SELECT @group_num:=1,@last_door := NULL) a
) t JOIN (SELECT @id:=0) b
GROUP BY t.door_group
HAVING SUM(Door = 'In') > 0 OR SUM(Active_door = 'On') > 0 AND SUM(Door = 'Out') > 0  OR SUM(Active_door = 'Off') > 0;

//output
+------+---------------------+---------------------+
| Id   | Check In            | Check Out           |
+------+---------------------+---------------------+
|    1 | 2016-01-01 08:00:00 | 2016-01-01 09:00:00 |
|    2 | 2016-01-01 09:35:00 | 2016-01-01 10:00:00 |
|    3 | NULL                | 2016-01-01 16:00:00 |
+------+---------------------+---------------------+

//my desire output
+------+---------------------+---------------------+
| Id   | Check In            | Check Out           |
+------+---------------------+---------------------+
|    1 | 2016-01-01 08:00:00 | 2016-01-01 09:00:00 |
|    2 | 2016-01-01 09:35:00 | 2016-01-01 16:00:00 |
+------+---------------------+---------------------+

请帮我,伙计们,我怎样才能得到想要的结果。我想从这两个栏中取最后一个和最后一个。提前谢谢你。

最佳答案

这将使解决方案易于维护,而不必一次性完成最终的查询,这将使它的大小几乎翻倍(在我看来)。这是因为结果需要匹配,并用匹配的in和out事件表示在一行上。最后,我使用了一些工作台。它是在存储过程中实现的。
存储过程使用多个变量,这些变量是用cross join带进来的。把交叉连接看作是初始化变量的一种机制。变量是安全维护的,所以我相信,本着这种document的精神,变量查询中经常引用它。引用的重要部分是安全地处理行上的变量,强制在其他使用它们的列之前设置它们。这是通过greatest()least()函数实现的,这些函数的优先级高于未使用这些函数而设置的变量。还需要注意的是,coalesce()经常用于相同的目的。如果它们的用法看起来很奇怪,比如取已知大于0或0的最大数,那么这是故意的。故意强制设置变量的优先顺序。
查询中名为dummy2等的列是未使用输出的列,但它们用于设置greatest()或其他值内部的变量。上面提到过。像7777这样的输出是第三个插槽中的占位符,因为使用的if()需要一些值。所以不要理会这些。
我已经包含了一些代码逐层进行时的屏幕截图,以帮助您可视化输出。以及如何将这些开发迭代慢慢地折叠到下一个阶段,以在先前的基础上进行扩展。
我相信我的同龄人可以在一个问题上有所改进。我本来可以那样做的。但我相信这会导致混乱的局面,一旦触碰就会破裂。
架构:

create table attendance2(Id int, DateTime datetime, Door char(20), Active_door char(20));
INSERT INTO attendance2 VALUES
(    1,   '2016-01-01 08:00:00',  'In', ''),
(    2,   '2016-01-01 09:00:00',  'Out', ''),
(    3,   '2016-01-01 09:15:00',  'In', ''),
(    4,   '2016-01-01 09:30:00',  'In', ''),
(    5,   '2016-01-01 09:35:00',  '', 'On'),
(    6,   '2016-01-01 10:00:00',  'Out', ''),
(    7,   '2016-01-01 16:00:00',  '', 'Off');

drop table if exists oneLinersDetail;
create table oneLinersDetail
(   -- architect this depending on multi-user concurrency
    id int not null,
    dt datetime not null,
    door int not null,
    grpIn int not null,
    grpInSeq int not null,
    grpOut int not null,
    grpOutSeq int not null
);

drop table if exists oneLinersSummary;
create table oneLinersSummary
(   -- architect this depending on multi-user concurrency
    id int not null,
    grpInSeq int null,
    grpOutSeq int null,
    checkIn datetime null, -- we are hoping in the end it is not null
    checkOut datetime null -- ditto
);

存储过程:
DROP PROCEDURE IF EXISTS fetchOneLiners;
DELIMITER $$
CREATE PROCEDURE fetchOneLiners()
BEGIN
    truncate table oneLinersDetail; -- architect this depending on multi-user concurrency

    insert oneLinersDetail(id,dt,door,grpIn,grpInSeq,grpOut,grpOutSeq)
    select id,dt,door,grpIn,grpInSeq,grpOut,grpOutSeq
    from
    (   select id,dt,door,
        if(@lastEvt!=door and door=1,
            greatest(@grpIn:=@grpIn+1,0),
            7777) as dummy2, -- this output column we don't care about (we care about the variable being set)
        if(@lastEvt!=door and door=2,
            greatest(@grpOut:=@grpOut+1,0),
            7777) as dummy3, -- this output column we don't care about (we care about the variable being set)
        if (@lastEvt!=door,greatest(@flip:=1,0),least(@flip:=0,1)) as flip,
        if (door=1 and @flip=1,least(@grpOutSeq:=0,1),7777) as dummy4,
        if (door=1 and @flip=1,greatest(@grpInSeq:=1,0),7777) as dummy5,
        if (door=1 and @flip!=1,greatest(@grpInSeq:=@grpInSeq+1,0),7777) as dummy6,
        if (door=2 and @flip=1,least(@grpInSeq:=0,1),7777) as dummy7,
        if (door=2 and @flip=1,greatest(@grpOutSeq:=1,0),7777) as dummy8,
        if (door=2 and @flip!=1,greatest(@grpOutSeq:=@grpOutSeq+1,0),7777) as dummy9,
        @grpIn as grpIn,
        @grpInSeq as grpInSeq,
        @grpOut as grpOut,
        @grpOutSeq as grpOutSeq,
        @lastEvt:=door as lastEvt
        from
        (   select id,`datetime` as dt,
            CASE
                WHEN Door='in' or Active_door='on' THEN 1
                ELSE 2
            END as door
            from attendance2
            order by id
        ) xD1 -- derived table #1
        cross join (select @grpIn:=0,@grpInSeq:=0,@grpOut:=0,@grpOutSeq:=0,@lastEvt:=-1,@flip:=0) xParams
        order by id
    ) xD2 -- derived table #2
    order by id;
    -- select * from oneLinersDetail;

    truncate table oneLinersSummary;    -- architect this depending on multi-user concurrency

    insert oneLinersSummary (id,grpInSeq,grpOutSeq,checkIn,checkOut)
    select distinct grpIn,null,null,null,null
    from oneLinersDetail
    order by grpIn;

    -- select * from oneLinersSummary;

    update oneLinersSummary ols
    join
    (   select grpIn,max(grpInSeq) m
        from oneLinersDetail
        where door=1
        group by grpIn
    ) d1
    on d1.grpIn=ols.id
    set ols.grpInSeq=d1.m;

    -- select * from oneLinersSummary;

    update oneLinersSummary ols
    join
    (   select grpOut,max(grpOutSeq) m
        from oneLinersDetail
        where door=2
        group by grpOut
    ) d1
    on d1.grpOut=ols.id
    set ols.grpOutSeq=d1.m;

    -- select * from oneLinersSummary;

    update oneLinersSummary ols
    join oneLinersDetail old
    on old.door=1 and old.grpIn=ols.id and old.grpInSeq=ols.grpInSeq
    set ols.checkIn=old.dt;

    -- select * from oneLinersSummary;

    update oneLinersSummary ols
    join oneLinersDetail old
    on old.door=2 and old.grpOut=ols.id and old.grpOutSeq=ols.grpOutSeq
    set ols.checkOut=old.dt;

    -- select * from oneLinersSummary;

    -- dump out the results
    select id,checkIn,checkOut
    from oneLinersSummary
    order by id;
    -- rows are left in those two tables (oneLinersDetail,oneLinersSummary)
END$$
DELIMITER ;

测试:
call fetchOneLiners();
+----+---------------------+---------------------+
| id | checkIn             | checkOut            |
+----+---------------------+---------------------+
|  1 | 2016-01-01 08:00:00 | 2016-01-01 09:00:00 |
|  2 | 2016-01-01 09:35:00 | 2016-01-01 16:00:00 |
+----+---------------------+---------------------+

答案到此为止。下面是开发人员对导致完成存储过程的步骤的可视化。
发展到最后的版本。希望这有助于可视化,而不是仅仅删除中等大小的混乱代码块。
步骤A
mysql - 结合两列mysql的条件-LMLPHP
步骤B
mysql - 结合两列mysql的条件-LMLPHP
步骤B输出
mysql - 结合两列mysql的条件-LMLPHP
步骤C
mysql - 结合两列mysql的条件-LMLPHP
步骤C输出
mysql - 结合两列mysql的条件-LMLPHP

关于mysql - 结合两列mysql的条件,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/37940132/

10-11 03:10