I have problems with SQL performance. For sudden reason the following queries are very slow:
I have two lists which contains Id's of a certain table. I need to delete all records from the first list if the Id's already exists in the second list:
DECLARE @IdList1 TABLE(Id INT)
DECLARE @IdList2 TABLE(Id INT)
-- Approach 1
DELETE list1
FROM @IdList1 list1
INNER JOIN @IdList2 list2 ON list1.Id = list2.Id
-- Approach 2
DELETE FROM @IdList1
WHERE Id IN (SELECT Id FROM @IdList2)
It is possible the two lists contains more than 10.000 records. In that case both queries takes each more than 20 seconds to execute.
The execution plan also showed something I don't understand. Maybe that explains why it is so slow:
I Filled both lists with 10.000 sequential integers so both list contained value 1-10.000 as starting point.
As you can see both queries shows for @IdList2 Actual Number of Rows is 50.005.000!!. @IdList1 is correct (Actual Number of Rows is 10.000)
I know there are other solutions how to solve this. Like filling a third list instaed of removing from first list. But my question is:
Why are these delete queries so slow and why do I see these strange query plans?
The DELETE statement removes rows one at a time and records an entry in the transaction log for each deleted row. TRUNCATE TABLE removes the data by deallocating the data pages used to store the table data and records only the page deallocations in the transaction log. DELETE command is slower than TRUNCATE command.
If you update a table, the system has to maintain those indexes that are on the columns being updated. So having a lot of indexes can speed up select statements, but slow down inserts, updates, and deletes.
Add a Primary key to your table variables and watch them scream
DECLARE @IdList1 TABLE(Id INT primary Key not null)
DECLARE @IdList2 TABLE(Id INT primary Key not null)
because there's no index on these table variables, any joins or subqueries must examine on the order of 10,000 times 10,000 = 100,000,000 pairs of values.
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