Introduction to ADO - The Command Object
The third article in a four part series, this week Andy shows how to use the command object to work with stored procedure parameters.
The third article in a four part series, this week Andy shows how to use the command object to work with stored procedure parameters.
The SQL Server 2005 Maintenance Plan Wizard offers many core tasks and options for database housekeeping. In addition, the wizard will roll all of your selected tasks into a reusable and customizable package. Read on to learn more.
Longtime SQL Server expert and author Michael Coles takes a look at one of the security products that every SQL Server DBA should consider. Read on to find out how NGSSQuirreL can help you.
In this session, Kathi continues her popular series and shows some of the more advanced joining techniques in T-SQL. She shows T-SQL self, outer and cross joins and gives many examples on how to use them.
Relational Data Warehouse or Reporting work loads are characterized by low volumes of very large transactions. These applications are often identified as having predominately read workloads (e.g. Decision Support, Analysis, and Reporting) with periodic feeds or batch loads. It is important to keep these characteristics in mind as we examine the significance of database design, resource utilization and system performance. The top performance bottlenecks or gotchas to avoid for Data Warehouse or Reporting applications are outlined below.
SQL Maestro, maker of tools for a variety of database platforms, is offering a 20% discount on their tools to the SQLServerCentral.com
community.
A whitepaper on getting the best performance from your system.
The topic of cursors is the ultimate "hot potato" in the world of SQL Server. Everyone has a view on when they should and mainly should not be used. By example and testing Robyn Page proves that, when handled with care, cursors are not necessarily a "bad thing".
Maintaining SQL Server security is fast becoming a big part of a SQL Server DBA's job. Longtime security expert Brian Kelley takes a
look at a security scanner: Typhon III
This article shows how the Fuzzy Lookup Transformation in SQL Server Integration Services (SSIS) can be used to make matches.
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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