XML data can become a full participant in a SQL Server Database, and can be used in views, functions, check constraints, computed columns and defaults. Views and table-valued functions can be used to provide a tabular view of XML data that can be used in SQL Expressions. Robert Sheldon explains how.
Steve Jones praises Bill Gates today, and the work he is doing to make the world a better place.
On Thursday January 19th at 12 noon Central, Audrey Hammonds will discuss renovating your data model while keeping you’re the production system humming
Due to a recent rebuild of the master database for a SQL Server instance, I now need to restore the msdb and model databases. In this tip we walk through the process that you need to follow to restore the model and msdb databases successfully.
As a DBA, we often setup monitoring to receive job failure notification, but when it comes to SSIS packages, we either do not capture the job failure (if the job runs through the command prompt) or we have no idea why it failed. In this article, I'd like to walk you through how to enable the logging functionality for SQL Server Integration Services (SSIS) and how to capture detailed information for immediate troubleshooting without "re-run" the package.
A Multicast Transformation can be used to write the same data file to multiple network folders, but it can be tedious and time-consuming to set up as the number of destination files grows. Learn how you can use this transformation in this article by Stan Kulp.
Today Steve Jones talks about the need for a lab for each of us, and a few ways you can build one.
A SQL expression may look elegant on the page but it is only valuable if its performance is good. Do window functions run quicker than their conventional equivalent code? Fabiano Amorim gives a definitive answer.
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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