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I realize that this isn’t the last Database Weekly editorial of the year – that honor is reserved for Louis Davidson next week. 😊 However, as we approach the end of the year and various holiday celebrations, one of my favorite Christmas carols has been of particular encouragement to me recently. 2023 hasn’t gone exactly […]
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One of the most effective ways to fully utilize your data is to create an Azure Hyperscale database. The principles of Azure Hyperscale databases have been discussed in this article, including their cost-effectiveness, worldwide accessibility, automatic scaling, and reliable performance.
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An OReilly Radar report on AI has some interesting data to Steve. Read what he thinks about the state of this technology in 2023.
Is there a reason to upgrade your SQL Server in place instead of building a new instance? Andy Warren has a few thoughts today on why this might be the right choice.
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Comments posted to this topic are about the item Fun with JSON II
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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