Find Invalid Objects in SQL Server
This article shows how you can find which objects in your database might not be valid after schema changes.
2025-10-06
9,396 reads
This article shows how you can find which objects in your database might not be valid after schema changes.
2025-10-06
9,396 reads
PSPO (Parameter Sensitive Plan Optimization) is a SQL Server feature that improves query performance by accepting varied data sizes based on the runtime parameter value(s) specified by the customer. It deals with the situation in which a single cached plan for a parameterized query isn't the best option for all potential incoming parameter values. Non-uniform data distributions exhibit this phenomenon. When using PSPO, SQL Server keeps several execution plans for a single query, each one customized for a particular parameter value. With the help of this feature, numerous execution plans for a parameterized query are generated, each of which is tailored for a certain range of parameter values.
2023-07-21
4,584 reads
This article shows how you can find which objects in your database might not be valid after schema changes.
2023-03-13
22,256 reads
This script will create the necessary login and linked servers on a given availability replica. Please ensure that the script is executed on all the replicas.
2022-02-22 (first published: 2022-01-25)
7,815 reads
In this article, we will analyze the various out-of-the-box deployment options Oracle Cloud Infrastructure and Google Cloud Platform offers to host a Microsoft SQL Server database. This information can prove to be handy while deciding on the best cloud provider to host a given application or database.
2022-02-18
7,216 reads
By Brian Kelley
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By HeyMo0sh
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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
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