MySQL - 检查连续列是否相同并仅显示那些行

时间:2014-03-07 15:52:11

标签: mysql sql

我有一个events表,其中包含与这些ID相对应的ID(id)和日期(eventDate)(ideventDate不是只有表中的列)。

SQLFiddle here

+--------+----+---------------------+
| row_id | id | eventDate           |
+--------+----+---------------------+
|      1 |  1 | 2014-02-27 23:19:41 |
|      2 |  1 | 2014-02-27 23:21:41 |
|      3 |  1 | 2014-02-27 23:21:41 |
|      4 |  2 | 2014-02-27 23:23:08 |
|      5 |  2 | 2014-02-27 23:25:08 |
|      6 |  2 | 2014-02-27 23:25:08 |
|      9 |  3 | 2014-02-28 15:36:55 |
|      8 |  3 | 2014-02-28 15:36:55 |
|      7 |  3 | 2014-02-28 15:34:55 |
|     10 |  4 | 2014-02-28 19:31:31 |
|     11 |  4 | 2014-02-28 19:33:31 |
|     12 |  4 | 2014-02-28 19:33:31 |
|     13 |  5 | 2014-02-28 19:33:34 |
|     14 |  5 | 2014-02-28 19:33:33 |
|     15 |  5 | 2014-02-28 19:31:33 |
|     16 |  6 | 2014-03-04 22:40:21 |
|     17 |  6 | 2014-03-04 22:38:21 |
|     18 |  6 | 2014-03-04 22:40:21 |
|     19 |  7 | 2014-03-04 23:08:37 |
|     20 |  7 | 2014-03-04 23:08:38 |
+--------+----+---------------------+

我想只选择表格中的那些行,其中连续事件日期对于相同的ID是相同的。

因此,我想只看到这些条目 -

+----+---------------------+
| id | eventDate           |
+----+---------------------+
|  1 | 2014-02-27 23:21:41 |
|  1 | 2014-02-27 23:21:41 |
|  2 | 2014-02-27 23:25:08 |
|  2 | 2014-02-27 23:25:08 |
|  3 | 2014-02-28 15:36:55 |
|  3 | 2014-02-28 15:36:55 |
|  4 | 2014-02-28 19:33:31 |
|  4 | 2014-02-28 19:33:31 |

请注意,没有

|  6 | 2014-03-04 22:40:21 |
|  6 | 2014-03-04 22:40:21 |

在上面的结果中,因为它们不是连续的。

我知道我可以将SQL查询的输出存储在一个文件中,然后使用unix工具来执行此操作,但我想知道这是否可以通过SQL直接实现。

7 个答案:

答案 0 :(得分:1)

虽然我的mySql有点生疏,但应该能够实现这一点。

SELECT t.*
FROM (
    SELECT  
           id,
           eventDate,
           COUNT(0) AS numRows
    FROM tabl
    GROUP BY id, DATE(eventDate)
    HAVING COUNT(0) > 1
    ORDER BY eventDate
) t

如果您需要其他列,则只需将此相关子查询加回原始表。

答案 1 :(得分:0)

从your_tableName中选择id,eventDate,其中eventDate in(选择event_ate来自your_tableName group by id,eventDate with count(eventDate)> 1);

答案 2 :(得分:0)

select ta.id, ta.eventDate from
(
    select row_id as ra, t1.id, t1.eventDate
    from events t1

) as ta
 join
(
     select row_id as rb, t2.id, t2.eventDate
     from events t2
) as tb
on rb = ra+1 and ta.id = tb.id and ta.eventDate = tb.eventDate

答案 3 :(得分:0)

我找到了匹配下一行的eventDate的方法,但唯一的缺点是它会返回连续日期的数量--1行。但是在你的代码中,你可以循环一次额外的时间。

SET @inc = 0;
SET @innerInc = 1;

SELECT t1.id, t1.eventDate
FROM (
    SELECT id, eventDate, (@inc := @inc + 1) as increment FROM temp
) t1
WHERE t1.eventDate = (
    SELECT t2.eventDate FROM (
        SELECT eventDate, (@innerInc := @innerInc + 1) as increment FROM temp
    ) t2
    WHERE t2.increment = t1.increment
);

以下是SQLFiddle:Here

答案 4 :(得分:0)

这应该能够通过单个表扫描(没有子查询,连接等)来实现。

SELECT t.id,t.eventDate
FROM (
    SELECT
        IF(id = @prevID AND eventDate = @prevDate, @counter, @counter := @counter+1) as c,
        @prevID := id as id,
        @prevDate := eventDate as eventDate
    FROM events e
    JOIN (SELECT @counter := 0, @prevID := NULL, @prevDate := NULL) as stuff
    WHERE 1 #or some where condition for events
    ORDER BY row_id ASC
) as t
GROUP BY t.c

答案 5 :(得分:-1)

如果不是特别需要位置连续输入,而是如果您按eventDate分组并找到具有相同eventDate的条目,那么您需要那些记录,然后是:

select * 
from Table a
join (select eventDate, count(*)
      from Table
      group by eventDate
      having count(*) > 1) b
on (a.eventDate = b.eventDate)

对数据的位置的任意依赖性表明存在一些您不共享的其他属性,并且通过该属性可以检索和排序记录。如果这样的属性决定了记录的位置,那么正是通过使用 属性进行排序或分组,您可以有效地解决这个问题。

答案 6 :(得分:-3)

抛弃我的自我加入后,我认为你将不得不为每个sub_query生成row_numbers:

select @rn1 := @rn1+1 as ra, t1.id, t1.eventDate
from events t1
join (select @rn1 := 0) r;

然后将其加入

select @rn2 := @rn2+1 as rb, t2.id, t2.eventDate
from events t2
join (SELECT @rn2 := 0) r;

所以最终答案:

select ta.id, ta.eventDate from
(
    select @rn1 := @rn1+1 as ra, t1.id, t1.eventDate
    from events t1
    join (select @rn1 := 0) r
) as ta
 join
(
     select @rn2 := @rn2+1 as rb, t2.id, t2.eventDate
     from events t2
     join (SELECT @rn2 := 0) r
) as tb
on rb = ra+1 and ta.id = tb.id and ta.eventDate = tb.eventDate

结果:

2014年2月1日,27:23 23:21:41 + 0000

2014年2月2日,27:23 23:25:08 + 0000

2014年2月3日,28日15:36:55 + 0000

2014年2月4日,28日19:33:31 + 0000