External Article

How to Think Like the SQL Server Engine: Using Statistics to Build Query Plans

Every index has a matching statistic with the same name, and each statistic is a single 8KB page of metadata that describes the contents of your indexes. Stats have been around (and been mostly the same) for forever, so this is one of the places where SQL Server’s documentation really shines: Books Online has a ton of information about statistics. You honestly don’t need to know most of that – but if you wanna make a living performance tuning, there’s a ton of great stuff in there.

External Article

Large estate monitoring at BMW

Managing 100s of business-critical servers across multiple continents became a struggle for BMW. SQL Monitor provided a fast and powerful solution that allowed them to scale to their business needs. Availability has since increased to 100% and doubled the speed of delivery. Learn how here.

External Article

Redgate’s journey to DevOps

At Redgate, we research DevOps, write articles, whitepapers and other content about DevOps, and talk a lot about DevOps. We actively encourage our customers to introduce database DevOps too, using our portfolio of database development solutions. But here’s the thing. We don’t do it to sell software. We do it because we believe in it. Reda on to find out why.

Blogs

SSMS Evaluation – future ready

By

In previous posts, we looked at the SQL Server engine. for us DBAs, the...

Claude.ai vs Claude API

By

You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...

T-SQL Tuesday #198–Change Detection

By

This month we have a new host, Meagan Longoria, who graciously agreed to help...

Read the latest Blogs

Forums

Creating a JSON Document IV

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Creating a JSON Document IV

Permissions Removal When Changing Object Schema

By Brandie Tarvin

When the schema of an object is changed, SQL Server wipes out the previous...

Visit the forum

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      1960
If I run this code, how many rows are returned?
SELECT 
  YearEstablished,
  json_objectagg(city : TeamName)
FROM dbo.NFLTeams
GROUP BY  YearEstablished;

See possible answers