Additional Articles


Technical Article

Middle Tier Application Data Caching with SQL Server 2000

Middle tier applications often use a single database management system (DBMS) to store data, which can expose scaling limitations as the number of user requests increases. Caching, a technique used to increase application performance by copying data and then using the copied data in place of the original data, can dramatically increase the throughput (the number of application requests serviceable per unit time) and scalability of middle tier applications.

2002-03-08

2,221 reads

Technical Article

Performance Comparison: Data Access Techniques

Architectural choices for data access affect performance, scalability, maintainability, and usability. This article focuses on the performance aspects of these choices by comparing relative performance of various data access techniques, including Microsoft® ADO.NET Command, DataReader, DataSet, and XML Reader in common application scenarios with a Microsoft SQL Server™ 2000 database.

2002-03-01

2,857 reads

Technical Article

AdeptSQL Workshop released

Adept SQL Tools has released AdeptSQL Workshop, an IDE for SQL-based database schema creation and management. Includes fast drag'n'drop SQL decompiler, editor, preprocessor, SQL analyzer and difference engine, "revision history" scripts with a separate player utility for remote db deployment, integration with MS Visual SourceSafe. Pricing starts at $130,
$199 with VSS support.

2002-02-25

3,342 reads

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Forums

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Question of the Day

Fun with JSON I

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 *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers