2022-04-27
411 reads
2022-04-27
411 reads
This video demonstrates a set of queries for estimating data compression savings in SQL Server. It also covers how to make an informed decision on whether data compression makes sense for your data and workload or not.
2021-10-08
2021-09-10
516 reads
2021-09-03
500 reads
2020-11-24
515 reads
2019-03-25
201 reads
2017-11-13
951 reads
Data Compression and Snapshot Isolation don't play well together, you may not see a performance benefit
2014-10-02
3,700 reads
How much space would compressing a particular index will save? How will this affect query performance? Derek Colley walks you through the effects of using data compression in SQL Server.
2014-03-25
4,651 reads
2013-01-30
2,209 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
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)...
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