SQL Monitor

External Article

When SQL Server Performance Goes Bad: Implicit Conversions

  • Article

When you're developing a database, the pressure is on to get something that works, using an efficient algorithm. When you are getting close to a release candidate, however, there are some programming habits that must be removed from the code, because they can cause unexpected performance problems. In this article, you'll learn how to detect and remove one such problem: reliance on implicit datatype conversions in your queries. We'll use a combination of plan cache queries, extended events, and SQL Monitor.

2020-09-11

External Article

Automate Responses to Bad Deployments with SQL Monitor

  • Article

Jamie Wallis explains how SQL Monitor can both reveal quickly who ran a deployment, and when, and automate the incident-response workflow to ensure it's dealt with swiftly. By extending such workflows to development and test servers, as well as production, the feedback cycle starts earlier, and you can stop problems from ever reaching the users.

2020-07-16

Technical Article

Using SQL Monitor Groups in PowerShell

  • Article

Not only are SQL Monitor Groups probably the neatest and most maintainable way of ensuring that all your SQL Servers have the best possible configuration of alerts, but they represent a powerful way of categorizing your SQL Server estate. In this article, I'll show how to use the SQL Monitor PowerShell API to export these groups, save their settings onto a configuration management system, or compare groups of settings to see the differences between them.

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2020-03-25

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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

Answering Questions On Dropped Columns

By Cláudio Silva

Comments posted to this topic are about the item Answering Questions On Dropped Columns

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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