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.

SQLServerCentral Article

How to Fix Inconsistent Metadata Errors

Why does changing a table on a SQL Server 7.0 server cause "OLE DB provider 'SQLOLEDB' supplied inconsistent metadata. An extra column was supplied during execution that was not found at compile time." to occur when query the table from a SQL Server 2000 server via link to other. In this article by James Travis, he shows you what the problem is and how to fix it.

Blogs

In-Person CISA Training – April 13-16, 2026

By

I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...

EightKB 2026

By

EightKB is back again for 2026! The biggest online SQL Server internals conference is...

The FinOps Lifecycle: From Budgeting to Reporting

By

Working in DevOps long enough teaches you two universal truths: That’s exactly why I...

Read the latest Blogs

Forums

VS Code, Unresolved References.

By mjdemaris

Hi all, I just started using VS Code to work with DB projects.  I...

Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

Visit the forum

Question of the Day

Fun with JSON II

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