Introduction Every DML transaction reads the data before it makes any changes. Not only during a SELECT query, but when you run any DML statement, insert, update, or delete, SQL Server first fetches a bunch of pages into the buffer pool locating the desired rows and changes them while synchronously writing to the transaction log […]
How to extend the range of SQL code analysis, during database development, to include dynamic analysis of the database metadata. This will allow regular checks for problems with the design of your tables and indexes ("table smells") that can affect database performance and data integrity.
In this tip we look at the Sequence Number feature in SQL Server and compare it to the use of identity columns.
There was a recent discussion in the forums here at SQL Server Central regarding the difficulties presented by the constantly shifting technology landscape. The core question was, how on earth do you master stuff? Especially, how do you master things when they're both new and constantly changing? Honestly, you don't. I mean, you can, but […]
Today Steve wonders what advice you might give someone starting out their career in technology.
As SQL developers, we tend to think of performance tuning in terms of crafting the best table indices, avoiding scalar and table valued functions, and analyzing query plans (among other things). But sometimes going back to the spec and applying some properties of elementary math can be the best way to begin to improve performance of SQL queries which implement mathematical formulas. This article is a case study of how I used this technique to optimize my SQL implementation of the Inverse Simpson Index.
With both personal experience and the real world evidence to back it up, Grant Fritchey says, unequivocally, a well-implemented DevOps process helps the organization. But it's not always easy to bridge a siloed organization, and sometimes organizations adopt DevOps for the wrong reasons.
In this article we cover how to get started with MLflow using Azure Databricks which manages the end-to-end machine learning lifecycle.
The use of cloud databases is growing, and Azure SQL Database is one of the more popular ones.
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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