Parameter Sensitive Plan Optimization in SQL Server 2022
Learn about a new feature of SQL Server 2022 - Parameter Sensitive Plan Optimization(PSPO)
2025-09-15
1,735 reads
Articles
Configure SQL Server Alerts for Azure SQL Managed Instance
How can we setup alerts in Azure SQL MI to notify us when there are issues?
2025-09-15
Revisiting SQL Server Window Functions- A Practical Walkthrough
A look at window functions in SQL and how they can be used to query data without the restrictions of a GROUP BY.
2025-09-12
6,870 reads
How to Increase SQL Server Column Width Without IO (Input/Output) Overhead
This article dives into a fun (and interesting!) strategy for widening fixed-width columns in SQL Server, to reduce downtime, risk, and runtime at the time when a column’s data type needs to be changed.
2025-09-12
A Rolling Filtered Index in SQL Server
I recently resolved an issue where a query pulling data from the last 30 days would time out due to the table’s size and the lack of a supporting index. Creating a supporting index is possible, but not ideal; it will be very large and may not be useful for most queries and use cases. I wonder how I could implement a filtered index that follows time and is always limited to the last n days.
2025-09-10
Using the FP-Growth Algorithm to Mine Useful Patterns in Data
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
2025-09-08
2,758 reads
How to Use the New PRODUCT() Function in SQL Server 2025
Introduced in SQL Server 2025 CTP 1.3, the PRODUCT() function acts similarly to SUM(), but multiplies values rather than adds them. It is an aggregate function in SQL Server and therefore operates on a data set, rather than on scalar values.
2025-09-08
Workspace Identity Authentication for your Power BI Semantic Models in Microsoft Fabric
This article shows how you can easily create connections in your Power BI workspace that use Identity Authentication to connect to your data.
2025-09-05
3,841 reads
SQL Server Triggers for Business Rules Automation
The advantage of using triggers is that the same processing can occur regardless of where or how the data has been inserted, updated or deleted. In this article, we look at several examples of where and why triggers could be useful along with an example use case.
2025-09-05
How to Script Dimensions with data build tool (dbt) Macros
In this article, we’ll revisit the dimension models we created. We wrote the entire SQL statement for the dimension by hand, and the dimensions themselves were very rudimentary; they lacked a surrogate key and there were no audit columns (such as insert date and update date). We’ll show you how we can expand the dimensions using Jinja, but also how we can minimize development effort by baking reusable patterns into the Jinja code.
2025-09-03
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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