External Article

The SQL Server 2016 Query Store: Accessing Query Store Information Using DMVs

The SQL Server 2016 Query Store provides several new ways of troubleshooting queries, studying their plans, exploring their context settings, and checking their performance metrics. In using the Query Store to ensure that performance is as good as possible, it isn't long before it becomes important to be familiar with the DMVs that are associated with the query store, and using them in custom queries.

External Article

Thinking About the Cloud?

Are you thinking about the cloud yet? Redgate is conducting some research into cloud adoption to better understand both the drivers and the blockers. Whether or not you’ve taken the plunge yet, they would love to hear from you. Participate in the survey and be entered into a draw to win an Amazon gift card worth $100.

Blogs

PostgreSQL Support in the Data API Builder

By

Next week I’m at VS Live in San Diego (register and join me) and...

Ten Years of PowerShell

By

Ten years ago today, I filmed a Pluralsight Play by Play on open source...

T-SQL Tuesday #202: 100 Hours

By

It’s time for T-SQL Tuesday again and this is a great prompt to start...

Read the latest Blogs

Forums

Databricks Genie Spaces for SQL Analysts: Natural Language Querying Without Leaving Your Data Platform

By mehul.bhuva@gmail.com

Comments posted to this topic are about the item Databricks Genie Spaces for SQL...

The Costs of Multiple Platforms

By Steve Jones - SSC Editor

Comments posted to this topic are about the item The Costs of Multiple Platforms

RegEx Functions II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item RegEx Functions II

Visit the forum

Question of the Day

RegEx Functions II

I have this data in a table in a SQL Server 2025 database:

EmailAddressID EmailAddress
7              dylan0@ADVENTURE-WORKS.COM
8              Diane1@ADVENTURE-WORKS.COM
If I run this query, which row(s) are returned?
SELECT top 10
 *
 FROM person.EmailAddress
 WHERE REGEXP_LIKE(EmailAddress, '^d')
 AND BusinessEntityID IN (7,8)

See possible answers