Huge Table_Temp Status') IS NULL) BEGIN CREATE TABLE dbo. Last Updated On FROM sys.partitions sp CROSS JOIN dbo.
Huge Table_Temp Status ( Rows Updated INT NOT NULL, -- updated by the process Last Updated On DATETIME NOT NULL, -- updated by the process Pause Process BIT NOT NULL -- read by the process ); INSERT INTO dbo. Huge Table_Temp Status ts; COMMIT TRAN; END TRY BEGIN CATCH IF (@@TRANCOUNT 0) BEGIN ROLLBACK TRAN; END; THROW; -- raise the error and terminate the process END CATCH; -- clear out rows to update for next iteration TRUNCATE TABLE #Current Set; WAITFOR DELAY ''; -- 1 second delay for some breathing room END; -- clean up temp tables when testing -- DROP TABLE #Full Set; -- DROP TABLE #Current Set; SELECT sp.[rows] AS [Total Rows In Table], ts. Huge Table_Temp Status ts WHERE sp.[object_id] = OBJECT_ID(N'Resize Test') AND sp.[index_id] UPDATE: Here are some additional things to try that might improve the performance of this operation.
Hi all I have a mysql table called vehicle_type and it has a column called cylinder_id The value in cylinder_id is a number that is defined by the value in the column cylinders.
I want to update all the values in cylinder_id to 1 where the value in cylinders is between 0-99 This is my attempt- what am I doing wrong?
To return the top 10 customers or the top 10% of customers, based on sales over the past year, SQL Server needs to sort customers by sales.
So, a view that returns the top 100% by sales would essentially be a sorted view.
), but for the sake of completeness, I will address this issue here as it was not part of my suggestion in that linked answer.This should be safe to do as long as you don't stop the SQL Agent job. By sending the process a "signal" (similar to in Unix), you can request that it stop at the next convenient moment (i.e. ) and have it clean itself up all nice and tidy-like.How can you stop the process without, um, well, stopping it? How can you communicate with the running process in another session?In this particular case, I would create a status table that can be updated per each loop with the number of rows updated thus far.And it doesn't hurt to throw in the current time to have a heart-beat on the process.Unlike stored procedures (which also support parameters), these parameterized functions can be updateable, as you'll see later in this chapter.