Introduction of Azure SQL Hyperscale: Stairway to Azure SQL Hyperscale Level 1
In Level 1 of the Stairway to Azure SQL Hyperscale, we learn about the architecture and create a hyperscale instance.
2025-09-03
3,963 reads
In Level 1 of the Stairway to Azure SQL Hyperscale, we learn about the architecture and create a hyperscale instance.
2025-09-03
3,963 reads
This guide will walk you through the process of deploy DACPAC to Azure SQL database directly from Visual Studio.
2025-03-10
1,708 reads
In Azure SQL Database serverless edition, we get an upgrade to our configuration.
2024-10-12
124 reads
2024-03-29
8,653 reads
Provisioning infrastructure in a timely and reliable manner is essential for agile development. One well-liked method that lets you use code to automate resource management and provisioning is infrastructure as code (IaC). Azure Resource Manager templates are one IaC solution for Azure (ARM templates).
2024-02-02
2,702 reads
I don’t think I’ve ever had a great impression of Azure SQL Database as a place for production applications. In its early days, it was missing several important features (like data compression). While that hole has been plugged, there are still other limitations and differences you should be aware o
2024-02-02
Batch execution mode is a new optimization feature in SQL Server. In this Article, we'll explore how Batch execution mode works and how you can use it to get faster query results on Rowstore data.
2023-10-30
4,592 reads
Microsoft has built an amazing platform with Azure SQL Database and has recently announced an offer to use this for free. Read about the capabilities and options with this cloud database platform.
2023-10-13
2,873 reads
PSPO (Parameter Sensitive Plan Optimization) is a SQL Server feature that improves query performance by accepting varied data sizes based on the runtime parameter value(s) specified by the customer. It deals with the situation in which a single cached plan for a parameterized query isn't the best option for all potential incoming parameter values. Non-uniform data distributions exhibit this phenomenon. When using PSPO, SQL Server keeps several execution plans for a single query, each one customized for a particular parameter value. With the help of this feature, numerous execution plans for a parameterized query are generated, each of which is tailored for a certain range of parameter values.
2023-07-21
4,570 reads
Deploy resources in Azure using reusable code with Terraform modules.
2026-02-16 (first published: 2022-10-10)
12,874 reads
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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