Get the Most Current Row From a Detail Table
This article compares the performance of finding the most recent row in a child table for updates, looking at four possible solutions.
2023-07-10
3,741 reads
Performance and Tuning
How to Avoid N+1 Queries: Comprehensive Guide and Python Code Examples
This article describes the N+1 problem that we often find when developers use row by row solutions for querying related data in a database.
2023-06-21
4,776 reads
The Complexity of Metrics
We need to monitor our servers, but individual metrics have more complexity than just setting simple limits for their readings.
2023-02-06 (first published: 2023-01-30)
318 reads
Query Tuning, Why Bother?
Today Grant wonders why we spend so much time trying to learn about query tuning.
2022-07-23
300 reads
2022-03-09
539 reads
Diagnose and resolve latch contention on SQL Server
This guide describes how to identify and resolve latch contention issues observed when running SQL Server applications on high concurrency systems with certain workloads.
2021-08-30
More on Column Choice and Order for Multi-column Non-Clustered Indexes
In the last year I’ve published articles on indexes to include Indexes: When Column Selectivity Is Not Always A Requirement – SQLServerCentral and Query Optimizer Suggests Wrong Index and Query Plan -- Why? – SQLServerCentral. This article is a continuation of just how the optimizer interacts with the index wizard. We’ve all heard and read […]
2021-07-07
3,735 reads
Performance Tuning Means 3 Things
Brent Ozar discusses performance tuning and how From the outside it looks more complicated than it is, but at the end of the day, it always comes back to just 3 knobs and knowing which ones you can turn.
2020-02-07
A Self-Tuning Fill Factor Technique for SQL Server – Part 2
Introduction Fill Factor is a parameter most of us have ignored because there is no definitive way to calculate what the correct value should be. Part 1 of this series describes a new technique to dynamically determine index fill factors for all indexes within a database. Part 2 covers an analysis of the data collection […]
2019-08-27
3,952 reads
Waits and Queues
This week Steve is wondering if you know how to use waits and queues for troubleshooting.
2019-08-23
650 reads
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