Balancing the Message
How can we get information about new products, tools, and services in the Internet world? Steve Jones has a poll this Friday asking what ways you would like to interact with SQL Server vendors on the site.
Identity Values – Two things to know
I saw someone post a question recently about running out of identity values in an INT column. It happens, it’s...
The Right Attitude to be a Mentor
When I first reported to my duty assignment with the US Air Force, there were 3 sergeants in my shop....
Top 10 steps to optimize data access in SQL Server. Part III (Apply advanced indexing and denormalization)
Even after you have applied proper indexing along with re-factoring your TSQLs with best practices, some data access routines might still be there, which would be expensive, in terms of their execution time. There must have been some smart ways to deal with these. Yes there are. SQL server offers you some rich indexing techniques that you might have not used earlier. These could surprise you with the performance benefits they possibly offer. Let us start implementing those advanced indexing techniques:
Being Supportive
Steve Jones says we need to stick together in IT, at least from the perspective of the client. Otherwise we can all look bad as an industry.
Database Snapshot and Rollback Transactions
A Rolled back transaction will increase the snapshot sparse file usage. New author Subash brings us an examination of how those database snapshots actually work.
Being Supportive
Steve Jones says we need to stick together in IT, at least from the perspective of the client. Otherwise we can all look bad as an industry.
Being Supportive
Steve Jones says we need to stick together in IT, at least from the perspective of the client. Otherwise we can all look bad as an industry.
Being Supportive
Steve Jones says we need to stick together in IT, at least from the perspective of the client. Otherwise we can all look bad as an industry.
Data searches that leverage existing indexes
Recent installments of our SQL Server 2005 Express Edition series have been discussing its implementation of Full Text Indexing. This article focuses on data searches, which leverage existing indexes, taking into account such features as noise words and thesaurus files.
Blogs
Data Engineering Books Worth Having on Your Shelf (or your tablet)
Good documentation gets you started. Good books get you deep. After years of working...
SSMS Evaluation – future ready
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
Claude.ai vs Claude API
By Arun Sirpal
You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...
Forums
SQL Server Showing Out of Space But Plenty of Drive Space
We have a SQL Server installed. We have a 500GB drive for the database....
Creating a JSON Document IV
Comments posted to this topic are about the item Creating a JSON Document IV
Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
Question of the Day
Creating a JSON Document IV
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers