Additional Articles


External Article

Finding the Causes of Poor Performance in SQL Server, Part 1

To tackle performance problems with applications, first use SQL Profiler to find the queries that constitute a typical workload: From the trace, spot the queries or stored procedures that are having the most impact. Then it's down to examining the execution plans and query statistics. You then see what effects you've had and maybe repeat the process. Gail explains all, in a two-part article.

2009-03-23

5,352 reads

External Article

Handling Service Broker Errors

The previous installment of the 'SQL Server 2005 Express Edition' series discussed using transactions to protect the integrity and consistency of Service Broker-based communication. Depending on the type of issue encountered by our code, the outcome might be different from expected. This article demonstrates a more robust approach to error handling and applies it to our target.

2009-03-18

1,351 reads

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