Scaling Out
Scaling out is hard to do with SQL Server, but why doesn't Microsoft build a better solution?
2008-03-13
282 reads
Scaling out is hard to do with SQL Server, but why doesn't Microsoft build a better solution?
2008-03-13
282 reads
Vote for Service Pack 3!!! For SQL Server 2005. As of now, Microsoft has no plans to release Service Pack 3 for SQL Server 2005. I sent them our poll results, but we need more votes. Let them know this is important by voting on Connect. Vote Now!!!! Update: There's a post that they hear […]
2008-03-13 (first published: 2008-02-17)
37 reads
I'm starting to see results from other people testing compression and it seems that the data compression can really provide...
2008-03-13
641 reads
2008-03-13
30 reads
2008-03-13
30 reads
2008-03-13
37 reads
Scaling out is hard to do with SQL Server, but why doesn't Microsoft build a better solution?
2008-03-12
37 reads
Scaling out is hard to do with SQL Server, but why doesn't Microsoft build a better solution?
2008-03-12
38 reads
Scaling out is hard to do with SQL Server, but why doesn't Microsoft build a better solution?
2008-03-12
37 reads
How much of a contract for servicing SQL Server should we expect? Has Microsoft broken an implied contract with us?
2008-03-11
96 reads
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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...
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