Sample data:
<Data>
<row preis="2.4000" anzahl="72.0000" rabatt="0.0000" mwst="16.0000" bez="tägliche Standreinigung" adoku_nr="1694351" adr_nr="95" anmpos_nr="-1" doku_nr="1694351" gen="0" pos="12" preis_vk="2.4000" preis_lp="2.4000" druck="1" artikel_nr="601" artposarten_nr="1" />
<row preis="330.0000" anzahl="1.0000" rabatt="0.0000" mwst="15.0000" bez="Abwasseranschluß" adoku_nr="500570" adr_nr="95" anmpos_nr="1" doku_nr="500570" gen="0" pos="6" preis_vk="330.0000" preis_lp="330.0000" druck="1" artikel_nr="304" artposarten_nr="1" />
</Data>
My goal is to have columns for adoku_nr (row id), attribute name, attribute value.
I achieved this through
select
T.C.value('(../@adoku_nr)[1]', 'int') as ID,
T.C.value('local-name(.)', 'nvarchar(128)') as Name,
T.C.value('(.)[1]', 'nvarchar(max)') as Value
from @Data.nodes('/Data/row/@*') as T(C)
Result:
ID Name Value
1694351 preis 2.4000
1694351 anzahl 72.0000
1694351 rabatt 0.0000
1694351 mwst 16.0000
1694351 bez tägliche Standreinigung
1694351 adoku_nr 1694351
1694351 adr_nr 95
1694351 anmpos_nr -1
1694351 doku_nr 1694351
1694351 gen 0
1694351 pos 12
1694351 preis_vk 2.4000
1694351 preis_lp 2.4000
1694351 druck 1
1694351 artikel_nr 601
1694351 artposarten_nr 1
500570 preis 330.0000
500570 anzahl 1.0000
500570 rabatt 0.0000
500570 mwst 15.0000
500570 bez Abwasseranschluß
500570 adoku_nr 500570
500570 adr_nr 95
500570 anmpos_nr 1
500570 doku_nr 500570
500570 gen 0
500570 pos 6
500570 preis_vk 330.0000
500570 preis_lp 330.0000
500570 druck 1
500570 artikel_nr 304
500570 artposarten_nr 1
Now my problem is that I execute this request in a larger xml, 120 lines in my case, and it becomes very slow (4 seconds), the problem looks like an identifier column, without returning back to the lower millisecond bracket, Is there a way Optimize this query to achieve the same goal, but with better performance?
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