DELETE data from a table, joining through two tables
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18-09-2019 - |
Question
I'm working with some rather sensitive data, so I want to be ABSOLUTELY sure I am doing it properly.
I am trying to delete the rows in a table that are associated with another table
The only way to associate the table is to join through two other tables...
here is the exact query:
DELETE tt.Transaction_Amount, tt.Transaction_ID
FROM ItemTracker_dbo.Transaction_Type tt
JOIN ItemTracker_dbo.Transaction t ON tt.Transaction_ID = t.Transaction_ID
JOIN ItemTracker_dbo.Purchase p ON p.Transaction_ID = tt.Transaction_ID
JOIN ItemTracker_dbo.Item i ON i.Item_ID = p.Item_ID
WHERE i.Client_ID = 1
As you can see, it ain't pretty.
I'm getting an odd error though through the MySQL query browser...
Unkown table 'Transaction_Amount' in MULTI DELETE
I've tried reading the mysql manual and it seems like this should work to me... any one have any idea's?
Solution
You need to delete rows from tt
, not individual columns:
DELETE tt
FROM ItemTracker_dbo.Transaction_Type tt
JOIN ItemTracker_dbo.Transaction t ON tt.Transaction_ID = t.Transaction_ID
JOIN ItemTracker_dbo.Purchase p ON p.Transaction_ID = tt.Transaction_ID
JOIN ItemTracker_dbo.Item i ON i.Item_ID = p.Item_ID
WHERE i.Client_ID = 1
OTHER TIPS
The syntax is incorrect - you don't reference columns between the DELETE
and FROM
. Use:
DELETE FROM ItemTracker_dbo.Transaction_Type tt
JOIN ItemTracker_dbo.Transaction t ON tt.Transaction_ID = t.Transaction_ID
JOIN ItemTracker_dbo.Purchase p ON p.Transaction_ID = tt.Transaction_ID
JOIN ItemTracker_dbo.Item i ON i.Item_ID = p.Item_ID
WHERE i.Client_ID = 1
To be sure you're deleting the correct stuff, I agree with wallyk that you should check the output of the SELECT statement that what is returned is what you want to remove prior to. Otherwise, perform the delete in a transaction so you can roll it back if needed.
You should compose it initially as a query to return the rows of interest. Once that's all debugged, then convert it into a delete.
Check with select query and then before executing delete query on critical data get a backup of that table. so simple as if anything going wrong then you can at least backup.