I have two tables, XMLtable and filterTable.
I need all the XMLtable.ID values from XMLtable where the data in Col_X contains MyElement, the contents of which matches filterColumn in filterTable.
The XML for each row in Col_X may contain multiple MyElement's, and I want that ID in case ANY of those elements match ANY of the values in filterColumn.
The problem is that those columns are actually of varchar(max) datatype, and the table itself is huge (like 50GB huge). So this query needs to be as optimized as possible.
Here's an example for where I am now, which merely returns the row where the first matching element equals one of the ones I'm looking for. Due to a plethora of different error messages I can't seem to be able to change this to compare to all of the same named elements as I want to.
SELECT ID,
CAST(Col_X AS XML).value('(//*[local-name()=''MyElement''])', N'varchar(25)')
FROM XMLtable
...and then compare the results to filterTable. This already takes 5+ minutes.
What I'm trying to achieve is something like:
SELECT ID
FROM XMLtable
WHERE CAST(Col_X AS XML).query('(//*[local-name()=''MyElement''])')
IN (SELECT filterColumn FROM filterTable)
The only way I can currently achieve this is to use the LIKE operator, which takes like a thousand times longer.
Now, obviously it's not an option to start changing the datatypes of the columns or anything else. This is what I have to work with. :)