复杂的SQL编写_Sql_Sql Server Ce_Sql Server Ce 4

复杂的SQL编写

sql

复杂的SQL编写,sql,sql-server-ce,sql-server-ce-4,Sql,Sql Server Ce,Sql Server Ce 4,我有这张桌子： table session( ID number, SessionID VarChar, Date, Filter ) 此表包含搜索信息，如下所示： ID SessionID Date filter 4 peqq421gaspts3nuulq5mwcq 24/05/2012 13:48 meagPixel=5 6 peqq421gaspts3nuulq5mwcq 24/05/2012

我有这张桌子：

table session(
ID number,
SessionID VarChar,
Date,
Filter
)

此表包含搜索信息，如下所示：

ID  SessionID                   Date                filter
4   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    meagPixel=5
6   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Canon
7   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Canon&meagPixel=12.1
8   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Canon
10  peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Nikon
12  peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    meagPixel=12.1
13  peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    meagPixel=12.1&opticalZoom=True
14  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    meagPixel=12.1&opticalZoom=True&brand=Panasonic
16  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    price=500.00
18  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    price=499.00
19  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    price=499.00&brand=Olympus
21  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    zoomRange=2000
22  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    zoomRange=2000&brand=Leica
23  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    zoomRange=2000&brand=Leica&price=1995.00
24  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True
25  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2
26  peqq421gaspts3nuulq5mwcq    24/05/2012 13:50    zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2&weight=345
27  peqq421gaspts3nuulq5mwcq    24/05/2012 13:58    zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2
41  poiq41111spts00000q5aaaa    27/05/2012 13:48    meagPixel=5

我想得到唯一的搜索。唯一搜索包括：

用户（会话）的最长搜索（筛选器）
如果第一个筛选器发生更改，则需要将其视为新搜索（筛选器）

因为ASP.NET不保证SessionID是唯一的（SessionID，Date）是唯一的

我没走多远：

SELECT        MAX(Filter)
FROM            Session
GROUP BY SessionID

顺便说一句，我给出的示例表数据的结果应该返回：

ID  SessionID                   Date                filter              
4   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    meagPixel=5     
7   peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Canon&meagPixel=12.1      
10  peqq421gaspts3nuulq5mwcq    24/05/2012 13:48    brand=Nikon     
14  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    meagPixel=12.1&opticalZoom=True&brand=Panasonic     
16  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    price=500.00        
19  peqq421gaspts3nuulq5mwcq    24/05/2012 13:49    price=499.00&brand=Olympus      
26  peqq421gaspts3nuulq5mwcq    24/05/2012 13:50    zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2&weight=345     
41  poiq41111spts00000q5aaaa    27/05/2012 13:48    meagPixel=5

感谢您的帮助和指导。

要获得最长的搜索筛选器，您需要执行以下操作：

select s.*
from (select s.*,
             row_number() over (partition by sessionid order by len desc) as rownum
      from (select s.*, len(filter) as len
            from session s
           ) s
     ) s
where rownum = 1

我是用windows函数来实现的。您可以通过使用聚合和联接来完成相同的任务

但是，您的意思是会话不是真正的标识符。会话/筛选器不可用。下面的查询基本上得到了您想要的结果：

select s.*
from (select s.*,
             row_number() overo over (partition by sessionid, filter 
                                      order by len desc) as rownum
      from (select s.*, len(filter) as len
            from session s
           ) s
     ) s
where rownum = 1

（唯一的更改是将partitioning子句包含在filter中。）

你可能有重复的。如果您想要所有重复项，则可以使用稍微不同的查询。

要获得最长的搜索筛选器，您需要执行以下操作：

select s.*
from (select s.*,
             row_number() over (partition by sessionid order by len desc) as rownum
      from (select s.*, len(filter) as len
            from session s
           ) s
     ) s
where rownum = 1

我是用windows函数来实现的。您可以通过使用聚合和联接来完成相同的任务

但是，您的意思是会话不是真正的标识符。会话/筛选器不可用。下面的查询基本上得到了您想要的结果：

select s.*
from (select s.*,
             row_number() overo over (partition by sessionid, filter 
                                      order by len desc) as rownum
      from (select s.*, len(filter) as len
            from session s
           ) s
     ) s
where rownum = 1

（唯一的更改是将partitioning子句包含在filter中。）

你可能有重复的。如果您想要所有的副本，则可以使用稍微不同的查询。

首先，示例数据中似乎有错误，我认为第25、26和27行都应该出现在最终数据中。27当然应该，因为它是会话ID和日期组合的唯一条目

假设以上是正确的，那么我认为我已经正确地建立了你的逻辑

步骤1是为每个筛选器定义第一个搜索项，以及它在会话中出现的顺序：

;WITH CTE AS
(   SELECT  *, 
            SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) [FirstTerm],
    FROM    Session
)

下一步是确定每个搜索是新搜索，还是前一个搜索的继续。这是通过获取会话中的上一个搜索词（为什么在上一个CTE中定义了SessionOrder）并确定第一个搜索词是否相同来实现的

, CTE2 AS
(   SELECT  T1.*, 
            CASE WHEN T1.SessionOrder = 1 OR T2.SessionOrder IS NOT NULL THEN 1 ELSE 0 END [NewSearch]
    FROM    CTE T1
            LEFT JOIN CTE T2
                ON  T1.SessionID = T2.SessionID
                AND T1.Date = T2.Date
                AND T1.FirstTerm != T2.FirstTerm
                AND T1.SessionOrder = T2.SessionOrder + 1
)

接下来，每个新的搜索都需要在会话中有自己的排名，以便分组。然后定义规则（SessionID、Date和First Search term的唯一组合），然后可以根据筛选器的长度在唯一组合内对每个项目进行排序：

, CTE3 AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, Date, ISNULL(SearchNumber, 0) ORDER BY LEN(Filter) DESC) [SearchOrder]
    FROM    CTE2 T1
            OUTER APPLY
            (   SELECT  SUM(NewSearch) [SearchNumber]
                FROM    CTE2 T2
                WHERE   T1.SessionOrder >= T2.SessionOrder
                AND     T1.SessionID = T2.SessionID
                AND     T1.Date = T2.Date
            ) c
)

最后，您需要做的就是将结果限制为SessionID、Date和first filter term的每个组合的最长搜索项：

SELECT  ID, SessionID, Date, Filter
FROM    CTE3
WHERE   SearchOrder = 1
ORDER BY ID

通常我会把这些都放在SQLFiddle上，而不是在这里发布一个完整的工作示例，但它今天似乎不起作用。下面是我用来测试数据的完整SQL：

CREATE TABLE #Session (ID INT, SessionID VARCHAR(50), Date DATETIME, Filter VARCHAR(200))
INSERT INTO #Session VALUES
    (2, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (4, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=5'),
    (6, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (7, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon&meagPixel=12.1'),
    (8, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (10, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Nikon'),
    (12, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=12.1'),
    (13, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=12.1&opticalZoom=True'),
    (14, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'meagPixel=12.1&opticalZoom=True&brand=Panasonic'),
    (16, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=500.00'),
    (18, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=499.00'),
    (19, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=499.00&brand=Olympus'),
    (21, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000'),
    (22, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica'),
    (23, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00'),
    (24, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True'),
    (25, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2'),
    (26, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:50', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2&weight=345'),
    (27, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:58', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2'),
    (41, 'poiq41111spts00000q5aaaa', '27/05/2012 13:48', 'meagPixel=5')

;WITH CTE AS
(   SELECT  *, 
            SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) [FirstTerm],
    FROM    #Session
), CTE2 AS
(   SELECT  T1.*, 
            CASE WHEN T1.SessionOrder = 1 OR T2.SessionOrder IS NOT NULL THEN 1 ELSE 0 END [NewSearch]
    FROM    CTE T1
            LEFT JOIN CTE T2
                ON  T1.SessionID = T2.SessionID
                AND T1.Date = T2.Date
                AND T1.FirstTerm != T2.FirstTerm
                AND T1.SessionOrder = T2.SessionOrder + 1
), CTE3 AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, Date, ISNULL(SearchNumber, 0) ORDER BY LEN(Filter) DESC) [SearchOrder]
    FROM    CTE2 T1
            OUTER APPLY
            (   SELECT  SUM(NewSearch) [SearchNumber]
                FROM    CTE2 T2
                WHERE   T1.SessionOrder >= T2.SessionOrder
                AND     T1.SessionID = T2.SessionID
                AND     T1.Date = T2.Date
            ) c
)
SELECT  ID, SessionID, Date, Filter
FROM    CTE3
WHERE   SearchOrder = 1
ORDER BY ID

DROP TABLE #Session

附录

好的，根据您不希望按日期列分组的结果集，您只需按第一个搜索词和sessionID分组的长度顺序排列行

此查询生成与示例数据相同的结果。我已经在2008年R1中测试过，但没有理由认为它不能在SQLServerCE中工作

;WITH CTE AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) ORDER BY LEN(Filter) DESC) [RowNumber]
    FROM    Session
)
SELECT  *
FROM    CTE
WHERE   RowNumber = 1
ORDER BY ID

关于最终解决方案

首先，您的样本数据中似乎有错误，我认为第25、26和27行都应该出现在最终数据中。27当然应该，因为它是会话ID和日期组合的唯一条目

假设以上是正确的，那么我认为我已经正确地建立了你的逻辑

步骤1是为每个筛选器定义第一个搜索项，以及它在会话中出现的顺序：

;WITH CTE AS
(   SELECT  *, 
            SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) [FirstTerm],
    FROM    Session
)

, CTE2 AS
(   SELECT  T1.*, 
            CASE WHEN T1.SessionOrder = 1 OR T2.SessionOrder IS NOT NULL THEN 1 ELSE 0 END [NewSearch]
    FROM    CTE T1
            LEFT JOIN CTE T2
                ON  T1.SessionID = T2.SessionID
                AND T1.Date = T2.Date
                AND T1.FirstTerm != T2.FirstTerm
                AND T1.SessionOrder = T2.SessionOrder + 1
)

, CTE3 AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, Date, ISNULL(SearchNumber, 0) ORDER BY LEN(Filter) DESC) [SearchOrder]
    FROM    CTE2 T1
            OUTER APPLY
            (   SELECT  SUM(NewSearch) [SearchNumber]
                FROM    CTE2 T2
                WHERE   T1.SessionOrder >= T2.SessionOrder
                AND     T1.SessionID = T2.SessionID
                AND     T1.Date = T2.Date
            ) c
)

最后，您需要做的就是将结果限制为SessionID、Date和first filter term的每个组合的最长搜索项：

SELECT  ID, SessionID, Date, Filter
FROM    CTE3
WHERE   SearchOrder = 1
ORDER BY ID

通常我会把这些都放在SQLFiddle上，而不是在这里发布一个完整的工作示例，但它今天似乎不起作用。下面是我用来测试数据的完整SQL：

CREATE TABLE #Session (ID INT, SessionID VARCHAR(50), Date DATETIME, Filter VARCHAR(200))
INSERT INTO #Session VALUES
    (2, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (4, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=5'),
    (6, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (7, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon&meagPixel=12.1'),
    (8, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Canon'),
    (10, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'brand=Nikon'),
    (12, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=12.1'),
    (13, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:48', 'meagPixel=12.1&opticalZoom=True'),
    (14, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'meagPixel=12.1&opticalZoom=True&brand=Panasonic'),
    (16, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=500.00'),
    (18, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=499.00'),
    (19, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'price=499.00&brand=Olympus'),
    (21, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000'),
    (22, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica'),
    (23, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00'),
    (24, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True'),
    (25, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:49', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2'),
    (26, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:50', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2&weight=345'),
    (27, 'peqq421gaspts3nuulq5mwcq', '24/05/2012 13:58', 'zoomRange=2000&brand=Leica&price=1995.00&opticalZoom=True&meagPixel=16.2'),
    (41, 'poiq41111spts00000q5aaaa', '27/05/2012 13:48', 'meagPixel=5')

;WITH CTE AS
(   SELECT  *, 
            SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) [FirstTerm],
    FROM    #Session
), CTE2 AS
(   SELECT  T1.*, 
            CASE WHEN T1.SessionOrder = 1 OR T2.SessionOrder IS NOT NULL THEN 1 ELSE 0 END [NewSearch]
    FROM    CTE T1
            LEFT JOIN CTE T2
                ON  T1.SessionID = T2.SessionID
                AND T1.Date = T2.Date
                AND T1.FirstTerm != T2.FirstTerm
                AND T1.SessionOrder = T2.SessionOrder + 1
), CTE3 AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, Date, ISNULL(SearchNumber, 0) ORDER BY LEN(Filter) DESC) [SearchOrder]
    FROM    CTE2 T1
            OUTER APPLY
            (   SELECT  SUM(NewSearch) [SearchNumber]
                FROM    CTE2 T2
                WHERE   T1.SessionOrder >= T2.SessionOrder
                AND     T1.SessionID = T2.SessionID
                AND     T1.Date = T2.Date
            ) c
)
SELECT  ID, SessionID, Date, Filter
FROM    CTE3
WHERE   SearchOrder = 1
ORDER BY ID

DROP TABLE #Session

附录

好的，根据您不希望按日期列分组的结果集，您只需按第一个搜索词和sessionID分组的长度顺序排列行

此查询生成与示例数据相同的结果。我已经在2008年R1中测试过，但没有理由认为它不能在SQLServerCE中工作

;WITH CTE AS
(   SELECT  *,
            ROW_NUMBER() OVER(PARTITION BY SessionID, SUBSTRING(Filter, 1, CASE WHEN CHARINDEX('&', Filter) = 0 THEN LEN(Filter) ELSE CHARINDEX('&', Filter) - 1 END) ORDER BY LEN(Filter) DESC) [RowNumber]
    FROM    Session
)
SELECT  *
FROM    CTE
WHERE   RowNumber = 1
ORDER BY ID

用于模式和插入查询的最终解决方案的。我尝试过稍微不同的方法。我不确定这是否在所有情况下都有效。它在mysql和mssql中工作

          select * 
          from tsession t1 
          where  not exists (
                             select * 
                             from tsession t2 
                             where t2.filter  like concat(t1.filter,'%') 
                             and t1.filter<>t2.filter 
                             and t1.sessionid=t2.sessionid) 
          order by id;

选择*
来自tsession t1
不存在的地方(
选择*
从t2会话
其中t2.filter-like-concat（t1.filter，“%”）
和t1.filter2.filter
和t1.sessionid=t2.sessionid）
按id订购；

这将给出问题所需的准确结果。

@GarethD-Tx用于模式和插入查询。我尝试过稍微不同的方法。我不确定这是否在所有情况下都有效。它在mysql和mssql中工作

          select * 
          from tsession t1 
          where  not exists (
                             select * 
                             from tsession t2 
                             where t2.filter  like concat(t1.filter,'%') 
                             and t1.filter<>t2.filter 
                             and t1.sessionid=t2.sessionid) 
          order by id;

选择*
来自tsession t1
不存在的地方(
选择*
从t2会话