How to Query JSON Data Quickly in SQL Server, Part 1: Pre-2025
Before SQL Server 2025, if you want to store JSON data in Microsoft SQL Server or Azure SQL DB, and you want fast queries, the easiest way is to:
2025-11-28
Before SQL Server 2025, if you want to store JSON data in Microsoft SQL Server or Azure SQL DB, and you want fast queries, the easiest way is to:
2025-11-28
This tutorial will discuss using variables with SQL DECLARE along with various examples.
2025-11-26
Short story: what the title says.
2025-11-24
JSON is a complex data type used for representing objects with various properties. With JSON you follow the key-value pattern where the key is a string and the value can be of different data types. What are some common ways to work with JSON in SQL Server?
2025-11-21
If you’re a SQL Server DBA or developer looking to harness AI for your everyday scripting workflows, this article will walk you through building an AI-powered T-SQL assistant using Python and SQL Server.
2025-11-19
In this quarter’s update of our SQL ConstantCare® population report, showing how quickly (or slowly) folks adopt new versions of SQL Server, the data is very similar to last quarter
2025-11-17
This is the true story of a 64-core SQL Server brought down by poor assumptions about its data. A clustered index designed for neat, sequential IoT inserts was overwhelmed when the real readings arrived late, out of order, and in bulk. The same risk lurks in any high-write system with unpredictable insert patterns. This article shows what can go wrong and how to avoid it.
2025-11-14
I have data coming into my SQL Server database as JSON. Before I start parsing it which is quite intensive, I need to check if some values are present in the JSON. Is there a function I can use to do this? Let’s see what the new JSON_CONTAINS function in SQL Server 2025 can do.
2025-11-12
Discover how the FULL OUTER JOIN in SQL can simplify queries, improve performance, and solve real-world data problems
2025-11-10
Microsoft introduced the APPLY operator in SQL Server 2005. Similar to a JOIN, it allows correlation between two table expressions. The key difference between the JOIN and APPLY operators is when you have a table-valued expression on the right side and want to evaluate it for each row from the left table expression. Since they produce similar results, when do you choose an APPLY versus a JOIN?
2025-11-07
Introduction I was experimenting with vector search in SQL Server 2025 using approximately 3.8...
By Steve Jones
This is timely, as I’m currently on a boat in the Adriatic taking a...
You can find the slides and SQL scripts for my session “Spice up your...
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Which of the following meta commands (sometimes called backslash or slash commands) within psql will provide you with information about the databases on the cluster?
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