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
22 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
22 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 Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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