It seems like every DBA has a USB stick or a shared drive filled with scripts they can pull up in almost any situation. How can I build such a library of T-SQL files?
2023-06-26
Deadlocks can occur in any database system, and SQL Server is no exception. In this article, we look at the steps I used to detect and resolve deadlocks in stored procedures.
2023-06-23
SQL Server supports working with JSON data and provides many different functions that can be used. SQL Server 2022 has expanded the ability to check if the JSON format is valid using the ISJSON function which we will cover in this article.
2023-06-19
SQL Server Auditing utilizes Extended Events in SQL Server. Although it is a feature-rich native solution available in all editions, you'll realize that when you start configuring the Audit and Specifications the filter options are not that widely documented or intuitive.
2023-06-05
I enjoyed writing scripts to manage the servers, as it taught me a lot about the internals of SQL Server. Many of these scripts were eventually automated using SQL Server’s agent to run and save data on the different servers so we could review the results, looking for issues.
2023-05-31
In this article, we look at an ensemble AI model which can be considered a collection of two or more AI models that complement each other to arrive at an outcome for a set of historical data.
2023-05-26
One of the slowest parts of any application is data retrieval and in this article, we look at how to cache SQL Server data for a web application.
2023-05-22
The tip, Views in SQL Server, explored the purpose of views, creating views examples, and benefits of views. A view is a virtual table that references the actual database tables stored in the database. What if someone changes the underlying table structure, such as renaming the column, adding a new column, or dropping the table? What is the impact of changing schema on views? How can we stop any schema changes if the view references the schema?
2023-05-08
This article examines how one can structure a pipeline for processing real-time data using Kafka and Informatica.
2023-04-26
4,688 reads
As much as we tell people to use SCHEMABINDING and avoid SELECT *, there is still a wide range of reasons people do not. A well-documented problem with SELECT * in views, specifically, is that the system caches the metadata about the view from the time the view was created, not when the view is queried. If the underlying table later changes, the view doesn't reflect the updated schema without refreshing, altering, or recreating the view. Wouldn't it be great if you could stop worrying about that scenario and have the system automatically keep the metadata in sync?
2023-04-17
By Vinay Thakur
These days everything is changing to AI World, IT roles are getting changed and...
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
BCA KCP Kramat Jati Hub.0851•8812•0691 Jl. Raya Bogor No.19, RT.1/RW.4, Wil, Kec. Kramat jati,...
BCA KCU MUARA KARANG Hub.0851•8812•0691 Jl. Muara Karang Timur, Blok B VIII No.116-117, Daerah...
BCA KCP Kramat Jaya Baru Hub.0851•8812•0691 Jl. Percetakan Negara II No.16 B-C, RT.3/RW.3, Johar...
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 TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers