Question

我在解析一些我得到的数据时遇到了一些问题，其格式如下：

1. FREE_AGENT    "10710,|9452,"
2. FREE_AGENT    "11381,|2918,"
3. FREE_AGENT    "10220,|"
4. FREE_AGENT    "9625,|"
5. FREE_AGENT    "11213,11225,11193,|"

,|分隔符之前的所有内容都被视为播放器添加，,|分隔符之后的所有内容都被视为丢弃。

理想情况下，我希望将其解析为如下所示的行：

1. FREE_AGENT    ADD    "10710"
1. FREE_AGENT    DROP    "9452"
2. FREE_AGENT    ADD    "11381"
2. FREE_AGENT    DROP    "2918"
3. FREE_AGENT    ADD    "10220"
4. FREE_AGENT    ADD    "9625"
5. FREE_AGENT    ADD    "11213"
5. FREE_AGENT    ADD    "11225"
5. FREE_AGENT    ADD    "11193"

任何帮助将不胜感激。我有基本的t-sql字符串分割器，但没有得到很多运气，如

CREATE FUNCTION split(
    @delimited NVARCHAR(MAX),
    @delimiter NVARCHAR(100)
) RETURNS @t TABLE (id INT IDENTITY(1,1), val NVARCHAR(MAX))
AS
BEGIN
    DECLARE @xml XML
    SET @xml = N'<t>' + REPLACE(@delimited,@delimiter,'</t><t>') + '</t>'
    INSERT INTO @t(val)
    SELECT  r.value('.','varchar(MAX)') as item
    FROM  @xml.nodes('/t') as records(r)
    RETURN
END

Answer 1

我喜欢使用动态sql来解析字符串。您可以使用Union All Select（在其他解析中）替换分隔符以使其工作：

-- load your test data
declare @YourTable table(AGENT varchar(10),STRING varchar(50))
insert into @YourTable values
    ('FREE_AGENT','10710,|9452,'),
    ('FREE_AGENT','11381,|2918,'),
    ('FREE_AGENT','10220,|'),
    ('FREE_AGENT','9625,|'),
    ('FREE_AGENT','11213,11225,11193,|')

-- create dynamic query to return parsed STRING value
-- with associated AGENT and ADD_DROP value
declare @sql varchar(max)
set @sql = ''
select @sql = @sql + '
select
    ''' + AGENT + ''' AGENT,
    ''' + ADD_DROP + ''' ADD_DROP,
    ' + replace(STRING,',','
union all
select
    ''' + AGENT + ''' AGENT,
    ''' + ADD_DROP + ''' ADD_DROP,') + '
union all'
from    (
        select
            AGENT,
            'ADD' ADD_DROP,
            replace(left(STRING,charindex('|',STRING)),',|','') STRING
        from @YourTable
        where replace(left(STRING,charindex('|',STRING)),'|','') <> ''
        union all
        select
            AGENT,
            'DROP' ADD_DROP,
            replace(replace(right(STRING,charindex('|',
                reverse(STRING))),'|','') + '|',',|','') STRING
        from @YourTable
        where replace(right(STRING,charindex('|',reverse(STRING))),'|','') <> ''
        ) q

-- remove last union all
set @sql = replace(@sql + '|','union all|','')

-- return results
exec(@sql)

Answer 2

因为你只有一个“，|”用于将ADD与DROP分开的分隔符，您可以在CTE中执行此操作，以便它们返回两个不同的列，一个ADD的CSV列和一个DROP的CSV列。然后你可以用标准分割器拆分它们，使用UNION ALL将一列的拆分与另一列的拆分结合起来。

示例：
（请注意，下面的示例使用了一个名为SQL＃（SQLsharp）的SQLCLR库，我是作者。此处使用的拆分函数可以在免费版中获得。如果您愿意，还有其他几种方法可以正确拆分SQL Server中的CSV，我已在此answer）

中注明了它们
DECLARE @Data TABLE (AgentID INT NOT NULL PRIMARY KEY, Agent NVARCHAR(50), Actions VARCHAR(500)) INSERT INTO @Data VALUES (1, N'FREE_AGENT', '10710,|9452,') INSERT INTO @Data VALUES (2, N'FREE_AGENT','11381,|2918,') INSERT INTO @Data VALUES (3, N'FREE_AGENT','10220,|') INSERT INTO @Data VALUES (4, N'FREE_AGENT','9625,|') INSERT INTO @Data VALUES (5, N'FREE_AGENT','11213,11225,11193,|') INSERT INTO @Data VALUES (6, N'FREE_AGENT','9633,|342,54545,') ;WITH SplitActions AS ( SELECT sd.AgentID, sd.Agent, sd.Actions, CHARINDEX(',|', sd.Actions) AS [DelimiterLocation] FROM @Data sd ), SplitValues AS ( SELECT sa.AgentID, sa.Agent, SUBSTRING(sa.Actions, 1, (sa.DelimiterLocation - 1)) AS [Adds], SUBSTRING(sa.Actions, (sa.DelimiterLocation + 2), 500) AS [Drops] FROM SplitActions sa ) SELECT sv.AgentID, sv.Agent, N'ADD' AS [Action], addvals.SplitVal AS [ID] FROM SplitValues sv CROSS APPLY SQL#.String_Split4k(sv.Adds, N',', 2) addvals UNION ALL SELECT sv.AgentID, sv.Agent, N'DROP' AS [Action], dropvals.SplitVal AS [ID] FROM SplitValues sv CROSS APPLY SQL#.String_Split4k(sv.Drops, N',', 2) dropvals ORDER BY [AgentID] ASC, [Action] ASC

输出

AgentID Agent Action ID 1 FREE_AGENT ADD 10710 1 FREE_AGENT DROP 9452 2 FREE_AGENT ADD 11381 2 FREE_AGENT DROP 2918 3 FREE_AGENT ADD 10220 4 FREE_AGENT ADD 9625 5 FREE_AGENT ADD 11213 5 FREE_AGENT ADD 11225 5 FREE_AGENT ADD 11193 6 FREE_AGENT ADD 9633 6 FREE_AGENT DROP 342 6 FREE_AGENT DROP 54545

T-SQL Parse分隔数据

2 个答案: