Parameter Sniffing in SQL Server 2019: Adaptive Memory Grants
This week, Brent is demoing SQL Server 2019 features that he's really excited about, and they all center around a theme we all know and love: parameter sniffing.
Refactoring a Batch or Object with SQL Prompt
Louis Davidson reveals some useful Prompt features for refactoring individual code blocks or modules during development, which will improve code quality, reduce tedium, make testing simpler, or sometimes all three.
Using the SQL Monitor Estate Pages
Kathi Kellenberger introduces the new Estate monitoring pages in SQL Monitor 9, and explains how they will help DBAs monitor and safeguard the security, stability and availability of all servers in their care.
Canine Corgi Completion Contest
Steve is putting on a new contest for you with some fun prizes. Put on your creative hat and submit an entry. Contest ends April 21, 2019.
Securing Code Early
Last year I started to get alerts from Microsoft Repos that someone had put a piece of security information in their code that pertained to one of my Azure services. At first I was worried, but then I realized this was the public version of AdventureWorks we maintain in Azure. We've published the login so […]
Automating Builds from Source Control for the WideWorldImporters Database
Kendra Little shows how to get the WideWorldImporters database into version control, using SQL Source Control, and then set up an automated database build process, using Azure DevOps with SQL Change Automation.
Configuring Azure SQL Databases Using Azure Resource Manager Templates
Template-based provisioning simplifies deployment and promotes principles of DevOps and Infrastructure as Code, making it the recommended method for implementing cloud-based services. However, its benefits extend beyond initial implementation, since you can apply it to configuring and maintaining existing Azure SQL Database instances. In this article, you explore an example of this approach.
Monitoring SQL Server Performance: What’s Required?
A monitoring tool must provide us with an understanding of the often-complex performance patterns that databases exhibit when under load, so that we can predict how they will cope with expansion or increase in scale. It must also helps us spot the symptoms of stress and act before they become problems that affect the service, and understand better what was happening within a database when an intermittent problem started.
Capturing the Application Time
Most of us work with the time in a variety of ways in our applications. Temporal tables use the time on the server,but Steve notes today that we might want to capture other types of time.
Create Table DDL via TSQL
A stored procedure from longtime community member Lowell Izaguirre, returns the CREATE TABLE definition for any table, including PK, UQ, Identity, FK, Defaults, and more.
Blogs
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Understanding Fabric MCP
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
AWS RDS Aurora - our first approach
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
Forums
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
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Question of the Day
Creating a JSON Document III
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;
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