The Devil's in the Details
This week Steve Jones notes that the little details can sometimes have a big impact in your code.
Your Cloud Held Hostage – Could It Happen?
Today's guest editorial by Andy Warren is more of a movie plot than reality, but perhaps it's worth considering.
Introduction to SQL Server Spatial Data
More and more applications require the handling of geospatial data. It is easy to store spatial data, but it takes rather more thought to retrieve and manipulate it. Tasks like searching neighborhoods, and calculating distances between points is often required from databases. But how do you start? Roy and Surenda take you through the basics.
Calculating Duration Using DATETIME Start and End Dates (SQL Spackle)
It's an old problem with a solution that's nearly as old. SQL Server MVP Jeff Moden shows us the old trick mixed with a slick trick to format the duration as extended hours, minutes, seconds, and milliseconds.
Large Chunks of Data
This Friday Steve Jones talks reporting. Specifically he wonders how long can a report be before it's just wasting space.
Azure Active Directory - Schema Extensions
The Azure Active Directory Graph API enables some interesting scenarios that you can implement in your applications by enabling you to query and manipulate directory objects in Azure AD. In this article, Rick Rainey provides a clear walkthrough of its implementation.
A More Versatile SQL Server Random Number Function
Image a situation when you use the SQL Server RAND() T-SQL function as a column in a SELECT statement, and the same value is returned for every row as shown below. In this tip, Dallas Snider explains how you can get differing random values on each row.
Get Your Service Broker Messages in Order. Always.
Learn how you can guarantee the ordering of all messages in a Service Broker queue, regardless of conversations.
Deploying the same database to many different RDBMSs
With the idea of a generic Dacpac defined by international standard, comes the potential for a Visual Studio developer to use SSDT to create a generic database model to a SQL-92 compliant standard that can then be deployed to any one of the major RDBMSs. The same database model would be deployable to Oracle, MySQL, or SQL Server, for example. Professor Hugh Bin-Haad explains the reasoning and technology behind this.
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
Forums
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...
Permissions Removal When Changing Object Schema
When the schema of an object is changed, SQL Server wipes out the previous...
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