SQL 联合查询与XML解析实例

          这里举例说明如何实现该功能:

(select a.EBILLNO,
a.EMPNAME,
a.APPLYDATE,
b.HS_NAME,
replace(replace(a.SUMMARY,char(10), ''),char(13),'') as SUMMARY,
cast(c.XmlData as XML).value('(/List/item/No/text())[1]','NVARCHAR(300)') as No,
cast(c.XmlData as XML).value('(/List/item/zje/text())[1]','NVARCHAR(300)') as zje,
cast(c.XmlData as XML).value('(/List/item/yfje/text())[1]','NVARCHAR(300)') as yfje,
cast(c.XMLData as XML).value('(/List/item/bcje/text())[1]','NVARCHAR(300)') as bcje,
cast(c.XMLData as XML).value('(/List/item/URL/text())[1]','NVARCHAR(300)') as URL,
cast(c.XMLData as XML).value('(/List/item/Remark/text())[1]','NVARCHAR(300)') as BZ,
cast(p.XMLData as XML).value('(/NewDataSet/Table1/UserName/text())[1]','NVARCHAR(500)') as SKRXM,
('http://……?sid=3&mid=7281&PID='+a.PID) as bxdljdz
from Ex_Bill as a 
left join Ex_System_Cfg as b on(a.BILLSYSTEMID=b.HS_ID and a.DATASYSTEMID=b.SYSTEM_NAME)
left join (select * from [10.2.3.39].AspireworkFlow.dbo.RepeaingTable) as c on (c.Keyword='URL' and c.ProcessID=a.PID)
left join (select * from [10.2.3.39].AspireworkFlow.dbo.RepeaingTable) as d on (d.Keyword='FKXX_New' and d.ProcessID=a.PID or d.Keyword='FKXX' and d.ProcessID=a.PID)
left join (select * from EX_BillExtension) as p on a.BILLNO=p.BILL_NO

where applyempid='zhongxun' and a.EBILLNO is not null
and status>5 and status not in(200,100,7000)
and a.APPLYDATE>'2011-01-01'
and a.HT='是'
and cast(d.XMLData as XML).value('(/List/item/SKRXM/text())[1]','NVARCHAR(300)') is null) 
union
(select e.EBILLNO,
e.EMPNAME,
e.APPLYDATE,
f.HS_NAME,
replace(replace(e.SUMMARY,char(10), ''),char(13),'') as SUMMARY,
cast(g.XmlData as XML).value('(/List/item/No/text())[1]','NVARCHAR(300)') as No,
cast(g.XmlData as XML).value('(/List/item/zje/text())[1]','NVARCHAR(300)') as zje,
cast(g.XmlData as XML).value('(/List/item/yfje/text())[1]','NVARCHAR(300)') as yfje,
cast(g.XMLData as XML).value('(/List/item/bcje/text())[1]','NVARCHAR(300)') as bcje,
cast(g.XMLData as XML).value('(/List/item/URL/text())[1]','NVARCHAR(300)') as URL,
cast(g.XMLData as XML).value('(/List/item/Remark/text())[1]','NVARCHAR(300)') as BZ,
cast(h.XMLData as XML).value('(/List/item/SKRXM/text())[1]','NVARCHAR(300)') as SKRXM,
('http://……?sid=3&mid=7281&PID='+e.PID) as bxdljdz
from Ex_Bill as e 
left join Ex_System_Cfg as f on(e.BILLSYSTEMID=f.HS_ID and e.DATASYSTEMID=f.SYSTEM_NAME)
left join (select * from [10.2.3.39].AspireworkFlow.dbo.RepeaingTable) as g on (g.Keyword='URL' and g.ProcessID=e.PID)
left join (select * from [10.2.3.39].AspireworkFlow.dbo.RepeaingTable) as h on (h.Keyword='FKXX_New' and h.ProcessID=e.PID or h.Keyword='FKXX' and h.ProcessID=e.PID)

where applyempid='zhongxun' and e.EBILLNO is not null
and status>5 and status not in(200,100,7000)
and e.APPLYDATE>'2011-01-01'
and e.HT='是'
and cast(h.XMLData as XML).value('(/List/item/SKRXM/text())[1]','NVARCHAR(300)') is not null)

在写SQL的时候,难点不在于SQL本身,而在于逻辑上,当写出这个SQL以后,发现逻辑也没有那么难了。

就是采用Union把两组都查询出来的表放到一个里面

感谢阅读,希望能帮助到大家,谢谢大家对本站的支持!

标签:
SQL,联合查询,和XML解析,SQL,联合查询,XML解析实例,SQL,联合查询,和XML解析详解

免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件! 如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
评论“SQL 联合查询与XML解析实例详解”
暂无“SQL 联合查询与XML解析实例详解”评论...

RTX 5090要首发 性能要翻倍!三星展示GDDR7显存

三星在GTC上展示了专为下一代游戏GPU设计的GDDR7内存。

首次推出的GDDR7内存模块密度为16GB,每个模块容量为2GB。其速度预设为32 Gbps(PAM3),但也可以降至28 Gbps,以提高产量和初始阶段的整体性能和成本效益。

据三星表示,GDDR7内存的能效将提高20%,同时工作电压仅为1.1V,低于标准的1.2V。通过采用更新的封装材料和优化的电路设计,使得在高速运行时的发热量降低,GDDR7的热阻比GDDR6降低了70%。