Wouldn’t it be awesome if you could develop your application for a small SQL Server using the same features that you intend to use for scale?
And wouldn’t it be more awesome if you could start using bleeding edge features like In-Memory OLTP on some of your less-risky, smaller databases first?
I got a great question about Edition downgrades recently.
SQL Server has two types of filtered indexes:
I’ve gotten a few questions about shrinking SQL Server data files lately. What’s the best way to get shrink to run? And why might it fail in some cases?
Traditionally, every time you ask a DBA how to make shrinking suck less, they start ranting how shrinking is bad and you just shouldn’t do it. Sometimes it sounds kinda angry.
What people are trying to say is that shrinking data files is generally slow, frustrating, and painful for you.
Episode update, April 2017: Learn About Adaptive Query Processing from Joe Sack
Microsoft shared a great video about Adaptive Query Processing, and you can learn about this new feature from Microsoft Program Manager Joe Sack. My original post below is full of speculation. Joe’s video is full of actual facts!
A couple of questions on SQL Server 2016’s new Query Store feature came up in my recent pre-conference session on index tuning in SQL Server. I wasn’t 100% sure of the answer offhand, so I promised to follow up in a blog post.
It’s the week of the largest SQL Server conference, the SQLPASS Summit. I’m in Seattle with more than 6,000 other SQL Server professionals. I made it to the Keynote this morning, only to find Rob Farley sitting next to me.
I’ve got a cold and I was waiting for the DayQuil to kick in when the Keynote began. If you’ve ever met Rob, you know I was in no danger of falling asleep.
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