Data Compression in SQL Server – Pros and Cons
SQL Server supports row and page compression on tables, indexes and partitions. This can lead to reduced I/O and better performance. However, it can also result in additional CPU...
2016-05-10
25 reads
SQL Server supports row and page compression on tables, indexes and partitions. This can lead to reduced I/O and better performance. However, it can also result in additional CPU...
2016-05-10
25 reads
When you use ODBC or SqlClient to access data from SQL Server, by default the query will be cancelled if there is no response from the server within a...
2016-05-09
29 reads
2016-04-05
9 reads
ALWAYS LEARNING About mid-way into August of 2015, I learned some important new factors in Search Engine Optimization (SEO) that caused me to make some big changes to the way in...
2016-02-01
15 reads
ALWAYS LEARNING About mid-way into August of 2015, I learned some important new factors in Search Engine Optimization (SEO) that caused me to make some big changes to the way in...
2016-02-01
9 reads
2015-10-19
5 reads
2015-10-05
7 reads
2015-09-18
8 reads
The PASS speakers were announced a quite a number of weeks ago now for PASS 2015 in October – and I felt pretty damn honored to be one of the 160 or...
2015-09-07
5 reads
The PASS speakers were announced a quite a number of weeks ago now for PASS 2015 in October – and I felt pretty damn honored to be one of the 160 or...
2015-09-07
6 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