有一个表A
,其日期列名为logdate
,xml列名为tag
,其xml值如下:
<process id="1540193803286" startTime="2018-10-24 10:01:26.467" >
<user>
<userId>2020</userId>
</user>
<executionCclass>
<executionNode classid="1" className="testclass_record1" methodName="testmethod" timeSpent="0" />
<executionNode classid="1-1" className="testclass2_record1" methodName="testmethod2" timeSpent="0" />
我想选择具有特定logdate
的记录,该记录的xml中有classid="1"
。
示例:表格名称:测试表格列:logdate(十进制(、xml(xml(
样本记录:
1( logdate=20181101,xml=[类似于我上面写的内容]
2( logdate=20181101,xml=[类似于我上面写的内容]
3( logdate=20181102,xml=[类似于我上面写的内容]
4( logdate=20181103,xml=[类似于我上面写的内容]
5( logdate=20181103,xml=[类似于我上面写的内容]
我想要的结果:
className其中Logdate>20181101并且classid=1
例如:
1( 20181102,testclass_record3
2( 20181103,testclass_record4
3( 20181103,testclass_record5
如何使用db2xquery进行此选择?
试试这个:
declare global temporary table session.test_xml (logdate dec(8), tag xml) with replace on commit preserve rows not logged;
insert into session.test_xml values
(20181102, xmlparse (document '
<process id="1540193803286" startTime="2018-10-24 10:01:26.467" >
<user>
<userId>2020</userId>
</user>
<executionCclass>
<executionNode classid="1" className="testclass_record1" methodName="testmethod" timeSpent="0" />
<executionNode classid="1-1" className="testclass2_record1" methodName="testmethod2" timeSpent="0" />
</executionCclass>
</process>
'
))
, (20181102, xmlparse (document '
<process id="1540193803286" startTime="2018-10-24 10:01:26.467" >
<user>
<userId>2020</userId>
</user>
<executionCclass>
<executionNode classid="2" className="testclass_record1" methodName="testmethod" timeSpent="0" />
<executionNode classid="1-1" className="testclass2_record1" methodName="testmethod2" timeSpent="0" />
</executionCclass>
</process>
'
))
;
select a.logdate, t.classname
from session.test_xml a
, xmltable ('$doc/process/executionCclass/executionNode[@classid="1"]' passing a.tag as "doc" columns
classname varchar(128) path '@className'
) t
where xmlexists('$doc/process/executionCclass/executionNode[@classid="1"]' passing a.tag as "doc")
and Logdate>20181101;