Parameter Sniffing in SQL Server 2019: Adaptive Joins
So far, I’ve talked about how adaptive memory grants both help and worsen parameter sniffing, and how the new air_quote_actual plans don’t accurately show what happened. But so far,...
2019-04-10
So far, I’ve talked about how adaptive memory grants both help and worsen parameter sniffing, and how the new air_quote_actual plans don’t accurately show what happened. But so far,...
2019-04-10
My last post talked about how parameter sniffing caused 3 problems for a query, and how SQL Server 2019 fixes one of them – kinda – with adaptive memory...
2019-04-09
Answer Time While answering a question on dba.se, I got to thinking about if there would be a good way…
2019-04-09
This week, I’m demoing SQL Server 2019 features that I’m really excited about, and they all center around a theme we all know and love: parameter sniffing. If you...
2019-04-08
Economy Of Waits There’s a joke about two economists walking down the street. One of them asks the other how…
2019-04-08
This insanely cool new performance-related update is one of nicest features in SQL Server 2019, and certainly one I’ve been looking forward to for a long time. If you’ve...
2019-04-08
By Steve Jones
In a previous post, I deployed a model to a database using SQL Compare...
By SQLPals
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...
By Steve Jones
Last week I spent a few days in Cambridge, UK for the Redgate Company...
Comments posted to this topic are about the item Adding and Dropping Columns II
Comments posted to this topic are about the item Leveraging DuckDB for OLAP Workloads:...
Comments posted to this topic are about the item More Documentation is Needed
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) , [Country2] [char] (3), [stateprovince2] [char] (2), [Country] [char] (3), [stateprovince] [char] ) ON [PRIMARY] GOI decide to drop the stateprovince2 and country2 columns. What code should I use? See possible answers