Unlocking the Power of FULL OUTER JOIN in SQL: Performance, Use Cases & Examples
Discover how the FULL OUTER JOIN in SQL can simplify queries, improve performance, and solve real-world data problems
Discover how the FULL OUTER JOIN in SQL can simplify queries, improve performance, and solve real-world data problems
Artificial intelligence is everywhere: It’s in our tools, our workflows, our marketing pitches…and increasingly, in our bottom lines. But a thought-provoking article published recently on the AI bubble asks a far more sobering question: What’s it really going to cost to profit from AI? Many people will roll their eyes and say, “Isn’t that obvious? […]
Steve has a few thoughts on the names we choose for tables, columns, files, and more.
This article takes a look at the changes in SQL Server 2025 to the SUBSTRING function.
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?
This article explains how to customize an extended events session in SQL Server Analysis Services for auditing and monitoring
Most of us believe in the importance of data. Steve has a few thoughts on using data to determine if AI is helpful.
The Tabular Model Definition Language (TMDL) provides a simpler way of defining Power BI Semantic Models. Unlike the JSON-based Tabular Model Scripting Language (TMSL), TMDL uses a more accessible tab-based format for specifying DAX measures, relationships, and Power Query code.
Learn how to query your jobs to produce a report that is formatted to make consuming the data easy for DBAs.
We will all make mistakes, but practice can help reduce the errors we cause.
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
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Comments posted to this topic are about the item Rollback vs. Roll Forward
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I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers