Heaps in SQL Server: Part 2 Optimizing Reads
In the second article of this series, Uwe Ricken discusses ways to affect the performance of queries involving heaps, including the TOP operator, compression, and partitioning.
Using SQL Data Compare to Sync Reference Data
Let's say your QA team maintain two similar test databases. They run tests to verify that different versions of the same application still produce the same, correct results. Therefore, any differences in the test data, between the two databases, needs to be corrected before the tests start. This is the sort of task for which SQL Data Compare is ideally suited, and Bob Sheldon explains how it all works.
Using SQL Server Query Store & Plan Guides to Fix Problem Queries
This webinar will cover how to use SQL Server plan guides and the query store to fix problematic queries and ways to improve query performance.
Beating the Cloud Vendors
Can you run a system better than cloud vendors? You should know and be able to prove it.
Loading data in Azure Synapse using Copy
Learn how to create a Synapse resource and upload data using the COPY command.
Connecting to a SQL Server Docker Container Running in macOS
Since SQL Server is supported in containers, you can now run a SQL Server instance in your macOS without dual-booting or running a virtual machine. In this article of the series, Carlos Robles demonstrates how to connect to the SQL Server once it’s running.
SQL Prompt Snippets to Drop Columns and Tables and Handle Associated Dependencies
Louis Davidson provides a pair of SQL Prompt snippets that will help you deal with dependencies, whenever you need to drop columns or tables.
Controlling Intelligent Query Processing Features
I always look forward to new T-SQL features and optimizer enhancements with every new version of SQL Server. Starting in 2017, Microsoft came up with a set of features called Intelligent Query Processing (IQP). These features work to improve performance without changing any code. If you’d like to learn more about these features, take a […]
Moving away from an RDBMS
Today Steve looks at an article the migrates a relational model to CosmosDB.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.[key]
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers