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The code below replaces the code above from BEGIN TRANSACTION; SET @New ID = COALESCE((SELECT Last ID FROM IDs WHERE IDName = @IDName), 0) 1; IF @New ID = 1 INSERT INTO tbl IDs (IDName, Last ID) VALUES (@IDName, @New ID); ELSE UPDATE IDs SET Last ID = @New ID WHERE IDName = @IDName; COMMIT TRANSACTION; First, I would avoid making a round trip to the database for every value.

For example, if your application knows it needs 20 new IDs, do not make 20 round trips. I will show how I would use sp_getapplock to eliminate deadlocks. First, let us start with a scenario where we always get a considerable amount of deadlocks. The most important point here is to stress test your solution.

Choosing the isolation level is about finding the right balance of consistency and scalability for our current application requirements.

All the following examples are going to be run on Postgre SQL 9.3.

Make only one stored procedure call, and increment the counter by 20. I have no idea if this will work for you, because SQL Server is closed source, so I cannot see the source code, and as such I do not know if I have tested all possible cases. Your solution may be different, but you need to expose it to high concurrency, as I will demonstrate later.

Also it might be better to split your table into multiple ones. Let us set up a table with some test data: CREATE PROCEDURE dbo.

When inserting multiple rows, if an error occurs for some of these rows there is no error returned but instead the number of rows affected would be decreased by the number of rows that failed to be inserted.

When inserting into tables containing It is possible to insert data using a query instead of values.

This gives the opportunity to restructure the tables data, renaming a field, changing a field’s data type or convert a normal table into a partitioned one.If there would be only one database transaction at any time then all operations would be executed sequentially.The challenge comes when multiple transactions try to update the same database rows as we still have to ensure consistent data state transitions.This means that you can keep other data structures that safely point to your structure-- regardless of whether you add or delete it from a hash table during your program’s lifetime.Yes, your key and structure can have any data type.

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