解析字符串 SQL [英] Parsing a string SQL

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本文介绍了解析字符串 SQL的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我在 MSSQL 中有这个很长的字符串,我需要 I 值.

I have this very long string in MSSQL which I require the I value.

I 代表发票,A 代表金额,D 代表日期

I represents Invoice, A represents Amount, D represents Date

I=940;A=29.5;D=20090901|I=941;A=62.54;D=20090910|I=942;A=58.99;D=20091005|I=954;A=93.45;D=20109|I=944;A=96.76;D=20091101|I=946;A=52.5;D=20091101|I=943;A=28.32;D=20091101|I=945;A=52.5;D=2009110=955;A=79.81;D=20091201|I=950;A=25.2;D=20091124|I=948;A=31.86;D=20091110|I=949;A=28.32;D=20091124|I=948;A=25.2;D=20091109|I=951;A=242.54;D=20091124|I=952;A=28.32;D=20091129|I=956;A=38.94;D=200919510;|A=107.39;D=20091215|I=958;A=32.55;D=20091228|I=959;A=27.3;D=20091228|I=960;A=24.79;D=20091217.3A=118;D=20100131|I=1115;A=272.58;D=20100131|I=1116;A=159.6;D=20100209

I=940;A=29.5;D=20090901|I=941;A=62.54;D=20090910|I=942;A=58.99;D=20091005|I=954;A=93.45;D=20091201|I=944;A=96.76;D=20091101|I=946;A=52.5;D=20091101|I=943;A=28.32;D=20091101|I=945;A=52.5;D=20091101|I=955;A=79.81;D=20091201|I=950;A=25.2;D=20091124|I=948;A=31.86;D=20091110|I=949;A=28.32;D=20091120|I=947;A=25.2;D=20091109|I=951;A=242.54;D=20091124|I=952;A=28.32;D=20091129|I=956;A=38.94;D=20091210|I=957;A=107.39;D=20091215|I=958;A=32.55;D=20091228|I=959;A=27.3;D=20091228|I=960;A=24.79;D=20091230|I=1117;A=28.32;D=20100131|I=1115;A=272.58;D=20100131|I=1116;A=159.6;D=20100209

这是最可怕的案例之一.

This is one of the scariest cases.

每个都是发票编号,其中包含相关值,我将使用这些值链接到另一笔交易.如果可能的话,如果有人可以解释在不制作应用程序的情况下解决此问题的最佳方式,我将不胜感激

Each of these are invoice numbers which have relevant values which i will use to link to another transaction. I would really appreciate it if someone could explain the best manner to go about this without making a app if possible

推荐答案

declare @s varchar(max) = 'I=940;A=29.5;D=20090901|I=941;A=62.54;D=20090910|I=942;A=58.99;D=20091005|I=954;A=93.45;D=20091201|I=944;A=96.76;D=20091101|I=946;A=52.5;D=20091101|I=943;A=28.32;D=20091101|I=945;A=52.5;D=20091101|I=955;A=79.81;D=20091201|I=950;A=25.2;D=20091124|I=948;A=31.86;D=20091110|I=949;A=28.32;D=20091120|I=947;A=25.2;D=20091109|I=951;A=242.54;D=20091124|I=952;A=28.32;D=20091129|I=956;A=38.94;D=20091210|I=957;A=107.39;D=20091215|I=958;A=32.55;D=20091228|I=959;A=27.3;D=20091228|I=960;A=24.79;D=20091230|I=1117;A=28.32;D=20100131|I=1115;A=272.58;D=20100131|I=1116;A=159.6;D=20100209'
declare @xml xml

select @xml = '<item><value>'+replace(replace(@s, ';','</value><value>'), '|','</value></item><item><value>')+'</value></item>'

select N.value('substring(value[1],3)', 'int') as Invoice,
       N.value('substring(value[2],3)', 'money') as Amount,
       N.value('substring(value[3],3)', 'date') as [Date]
from @xml.nodes('item') as T(N)

结果:

Invoice     Amount                Date
----------- --------------------- ----------
940         29,50                 2009-09-01
941         62,54                 2009-09-10
942         58,99                 2009-10-05
954         93,45                 2009-12-01
944         96,76                 2009-11-01
946         52,50                 2009-11-01
943         28,32                 2009-11-01
945         52,50                 2009-11-01
955         79,81                 2009-12-01
950         25,20                 2009-11-24
948         31,86                 2009-11-10
949         28,32                 2009-11-20
947         25,20                 2009-11-09
951         242,54                2009-11-24
952         28,32                 2009-11-29
956         38,94                 2009-12-10
957         107,39                2009-12-15
958         32,55                 2009-12-28
959         27,30                 2009-12-28
960         24,79                 2009-12-30
1117        28,32                 2010-01-31
1115        272,58                2010-01-31
1116        159,60                2010-02-09

对于 SQL Server 2005,您需要使用日期时间而不是日期

For SQL Server 2005 you need to use datetime instead of date

select N.value('substring(value[1],3)', 'int') as Invoice,
       N.value('substring(value[2],3)', 'money') as Amount,
       N.value('substring(value[3],3)', 'datetime') as [Date]
from @xml.nodes('item') as T(N)

要从表中读取数据,您需要这样做.

To read from a table you need to do it like this.

declare @s varchar(max) = 'I=940;A=29.5;D=20090901|I=941;A=62.54;D=20090910|I=942;A=58.99;D=20091005|I=954;A=93.45;D=20091201|I=944;A=96.76;D=20091101|I=946;A=52.5;D=20091101|I=943;A=28.32;D=20091101|I=945;A=52.5;D=20091101|I=955;A=79.81;D=20091201|I=950;A=25.2;D=20091124|I=948;A=31.86;D=20091110|I=949;A=28.32;D=20091120|I=947;A=25.2;D=20091109|I=951;A=242.54;D=20091124|I=952;A=28.32;D=20091129|I=956;A=38.94;D=20091210|I=957;A=107.39;D=20091215|I=958;A=32.55;D=20091228|I=959;A=27.3;D=20091228|I=960;A=24.79;D=20091230|I=1117;A=28.32;D=20100131|I=1115;A=272.58;D=20100131|I=1116;A=159.6;D=20100209'

declare @YourTable table(ID int, s varchar(max))
insert into @YourTable values
(1, @s),
(2, @s)

select Y.ID,
       T.N.value('substring(value[1],3)', 'int') as Invoice,
       T.N.value('substring(value[2],3)', 'money') as Amount,
       T.N.value('substring(value[3],3)', 'date') as [Date]
from @YourTable as Y
  cross apply (select cast('<item><value>'+replace(replace(Y.s, ';','</value><value>'), '|','</value></item><item><value>')+'</value></item>' as xml)) as X(XMLCol)
  cross apply X.XMLCol.nodes('item') as T(N)

这篇关于解析字符串 SQL的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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