I have a table that consists of a few keys and an XML fragment. I need to decompose that xml fragment and load it into a new table, with one row for each XML node. The XML node needs to be broken into 2 columns. That's the easy part. For each row of the XML data in the new table, I also need to populate the column with the keys from the original table. I have been unable to find a way to do this without a very slow cursor going through each row in the source table and inserting each node along with its keys into the destination table.
Example of a row in the source table:
IsntanceID PatientID EncounterID XMLData
12867 46 63481 (XML Fragment stored in this column shown below)
XML Fragment:
<finding>
<item id="314" sectionname="HistoryofPres
entIllness
Section" />
</finding>
<finding>
<item id="353" sectionname="HistoryofPres
entIllness
Section" />
</finding>
<finding>
<item id="341" sectionname="HistoryofPres
entIllness
Section" />
</finding>
<finding>
<item id="650" sectionname="HistoryofPres
entIllness
Section" />
</finding>
<finding>
<item id="1613" sectionname="ChiefComplain
tSection" />
</finding>
<finding>
<item id="663" sectionname="ChiefComplain
tSection" />
</finding>
So once transformed, this would end up with 6 rows in the destination table, looking like the following:
IsntanceID PatientID EncounterID id sectionname
12867 46 63481 314 HistoryofPresentIllnessSec
tion
12867 46 63481 353 HistoryofPresentIllnessSec
tion
12867 46 63481 341 HistoryofPresentIllnessSec
tion
12867 46 63481 650 HistoryofPresentIllnessSec
tion
12867 46 63481 1613 ChiefComplaintSection
12867 46 63481 663 ChiefComplaintSection
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