Transact-SQL

SQLServerCentral Article

GENERATE_SERIES() Breaks Minimal Logging

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tl;dr The title says it all. Prologue One of the keys to my personal learning is that, very early in my database career, I taught myself how to make lot’s of rows of Random Constrained Data in a comparatively short time. With the help of a few good folks over time, the method has been […]

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2023-09-18

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SQLServerCentral Article

Performance Tuning with SQLFacts Tools

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The need for performance tuning your SQL Server workloads has never been more critical. As workloads are moved into cloud services, their efficiency has a direct impact on the recurring bills. A workload that consumes more resources than necessary costs more to host in the cloud and affects the bottom line for your organization.

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2023-04-07

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SQLServerCentral Article

Manage Your Business Rules in T-SQL Query

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Motivation At some point in the carrer, we have come across the problem of hard-coded values in SELECT or WHERE clauses.  And we all agree that these hardcoded values must be parametrised. This bad habit usually backfires when we need to troubleshoot a query. These hardcoded values are usually a business role baked in the […]

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2022-10-18 (first published: )

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SQLServerCentral Article

Playing popular game of Wordle using T-SQL

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Popular and addictive game of Wordle is now written in Transact SQL script. With this script, you can now  play this game on Microsoft SQL Server, using your favourite editor - SSMS, ADS, VS Code, and enjoy playing the game during free time, or whilst waiting for the other SQL query to complete.

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2022-01-19

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Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

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Question of the Day

Fun with JSON II

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 t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers