Azure SQL Database Elastic Scale Part 1 - What is Sharding?
Azure SQL Database Elastic Scale Part 1 - What is Sharding?MARCH 19, 2015
This week, Microsoft introduced an update to Azure SQL...
2019-08-09 (first published: 2015-03-19)
15,596 reads
Azure SQL Database Elastic Scale Part 1 - What is Sharding?MARCH 19, 2015
This week, Microsoft introduced an update to Azure SQL...
2019-08-09 (first published: 2015-03-19)
15,596 reads
Azure SQL Database Elastic Scale Part 3 - Setting up and Querying the ShardsMAY 28, 2015
For those of you who have...
2019-08-09 (first published: 2015-05-28)
4,112 reads
Dynamic Data MaskingFEBRUARY 26, 2015
Have you ever wanted to only show parts of a field to certain sets of users...
2019-08-09 (first published: 2015-02-26)
8,871 reads
Index Fragmentation in Azure SQL DatabaseFEBRUARY 4, 2015
Recently, I read the articles Stop Worrying About SQL Server Fragmentationand When Does...
2019-08-09 (first published: 2015-02-03)
13,511 reads
Setting Up Alerts in Azure SQL DatabaseSEPTEMBER 8, 2015
Introduction
If I've learned one thing with my on premise versions of SQL...
2019-08-09 (first published: 2015-09-08)
3,756 reads
SQL Azure has T-SQL Jobs - Well AlmostJUNE 25, 2015
Introduction
One thing that has been lacking in Azure SQL Database is the...
2019-08-09 (first published: 2015-06-25)
2,836 reads
Using AzCopy in a SQL Job to Upload Files to Azure Blob StorageNOVEMBER 11, 2015
Introduction
In my next series of posts,...
2019-08-09 (first published: 2015-11-10)
7,208 reads
Top 10 Enhancements to Azure SQL Database in 2015DECEMBER 27, 2015
Introduction
2015 has been a massive year for Azure SQL Database....
2015-12-27
1,011 reads
Top 10 Enhancements to Azure SQL Database in 2015
DECEMBER 27, 2015
Introduction2015 has been a massive year for Azure SQL Database. This year has seen the product mature from "an...
2015-12-27
26 reads
Getting Started with Azure Data Factory - Part 1DECEMBER 9, 2015
Introduction
The Azure Data Factory is a means of moving data around...
2015-12-09
4,127 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