Downtime Caused by the Postgres Transaction ID Wraparound Problem
Learn about transaction ID wraparound in PostgreSQL, which caused a problem for the author.
2026-02-23 (first published: 2026-02-13)
1,791 reads
Chandan Shukla
Stairway to Azure SQL Hyperscale Level 6: Backup and Restore Internals
Learn how backup and restore work in Azure SQL Hyperscale in this next level in the stairway series.
2025-12-17
789 reads
Stairway to Azure SQL Hyperscale Level 5: Data Growth and Fast Auto-Grow Mechanism
In this level, we learn about the database file size growth in Hyperscale.
2025-12-03
85 reads
Filtered Indexes: The Developer’s Secret Weapon in SQL Server
Learn about filtered indexes in SQL Server, how they work, and how they can help improve performance.
2025-11-24
4,078 reads
UNLOGGED Tables in PostgreSQL: When Speed Matters More Than Durability
Learn about unlogged tables and how they work in PostgreSQL.
2025-11-21
4,770 reads
MySQL’s BLACKHOLE Storage Engine: The Odd Feature I Wish SQL Server Shipped With
Learn about a MySQL feature that could be useful in some scenarios for SQL Server.
2025-11-10
4,257 reads
Stairway to Azure SQL Hyperscale Level 4: Log Service and Transaction Management
Learn about how the Log Service helps manage transactions in the Hyperscale Tier.
2025-10-29
1,070 reads
How Implicit Transactions Hurt SQL Server Performance Without You Knowing
Learn about implicit transaction and why you might not want to enable this setting.
2025-10-24
6,481 reads
Stairway to Azure SQL Hyperscale – Level 3: RBPEX Caching Layer Internals
In this level of the Stairway to Azure SQL Hyperscale we learn about the read-only layer that speeds up queries.
2025-10-08
432 reads
Unlocking High-Concurrency Inserts in SQL Server with OPTIMIZE_FOR_SEQUENTIAL_KEY
Learn how a setting an improve high concurrency inserts with the OPTIMIZE_FOR_SEQUENTIAL_KEY option.
2025-10-01
6,072 reads
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Question of the Day
Fun with JSON I
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