Although most of what you read tells you to stay away from dynamic SQL, the reality is there are places where writing T-SQL code dynamically just makes sense. The one downside to dynamic SQL is that if it is not written correctly the code will fail. Eli Leiba shares a function that he created to help determine if the dynamic code is OK prior to execution.
2017-08-14
5,638 reads
Creating SQL Server databases is easier than the internet may lead us to believe.
2017-08-11 (first published: 2015-10-29)
8,470 reads
The majority of Azure SQL Database related features reach their General Availability (GA) stage relatively quickly. There are however, some exceptions. The most prominent example in this category is likely Azure SQL Data Sync, which has remained in Preview since its introduction 7 years ago. Fortunately, there are signs that this service might be finally reaching production-ready state. In thius article, Martin Policht will introduce its main characteristics.
2017-08-11
4,501 reads
This article is just a short follow up of previous article on filegroup restoring that describes one issue with join elimination optimization.
2017-08-10
1,014 reads
It is possible to do a great deal with R within SQL Server, but it is best to start by doing analysis in R on numeric data from SQL Server and returning the results to SQL Server. There is great value to be gained even with this basic foundation. Robert Sheldon is on hand to give you a kick start with the first in his series on beginning with R in SQL Server.
2017-08-10
7,279 reads
This paper shares the approach used to understand and determine: 1) Using ‘Hekaton’ in SQL Server 2014 against RPM, including performance analysis. 2)
Understand the specifics involved while migrating to Hekaton.
2017-08-09
3,784 reads
Erik Darling wonders why SQL Server doesn't have more granular parallelism options.
2017-08-09
3,671 reads
Do you hate when someone wakes you up in the middle of the night and tells you that some query is slower and you need to investigate it? With SQL Server 2017 you might easily do this, or even let SQL Server do this job for you.
2017-08-08
2,040 reads
In order to be able to deliver database changes more quickly, there are several tasks that must be automated. It can be a daunting job to ensure that the whole team has the latest database build when there is a proliferation of copies, and the database is big. Phil illustrates a solution by taking a set of Redgate tools to show how they can be used together, via PowerShell, to build a database from object-level source, stock it with data, document it, and then provision any number of test and development servers with the database build, taking care to save any DDL changes to the existing copies of the database.
2017-08-08
5,020 reads
Example of Using Super Keys to Enforce Database Constraints, instead of procedural code
2017-08-07
2,420 reads
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
Comments posted to this topic are about the item Make It Routine
Comments posted to this topic are about the item DBCC CHECKDB Limits III
Comments posted to this topic are about the item CROSS APPLY Fundamentals: Part 1
On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
See possible answers