Find Invalid Objects in SQL Server
This article shows how you can find which objects in your database might not be valid after schema changes.
2025-10-06
9,390 reads
Advanced SQL
SQL Window Functions Series: NTILE()
Unlock the power of SQL's NTILE function with our latest deep-dive article. Learn to segment your data effectively into quantiles for more nuanced analysis, discover common pitfalls and their solutions, and optimize your queries for peak performance.
2024-02-03 (first published: 2024-01-03)
5,061 reads
SQL Window Functions Series: RANK() and DENSE_RANK()
Welcome to the fascinating world of SQL window functions! Today, we'll explore in detail: RANK() and DENSE_RANK().
2023-11-20 (first published: 2023-11-15)
14,121 reads
Exploring Parameter Sensitive Plan Optimization in SQL Server 2022
PSPO (Parameter Sensitive Plan Optimization) is a SQL Server feature that improves query performance by accepting varied data sizes based on the runtime parameter value(s) specified by the customer. It deals with the situation in which a single cached plan for a parameterized query isn't the best option for all potential incoming parameter values. Non-uniform data distributions exhibit this phenomenon. When using PSPO, SQL Server keeps several execution plans for a single query, each one customized for a particular parameter value. With the help of this feature, numerous execution plans for a parameterized query are generated, each of which is tailored for a certain range of parameter values.
2023-07-21
4,570 reads
Find Invalid Objects in SQL Server
This article shows how you can find which objects in your database might not be valid after schema changes.
2023-03-13
22,254 reads
How to Find the Start and End Dates for the Current Week (and more)
Learn to calculate Start / First of Week, End of Week, Start of Next Week, Year, Quarter, and Month of the week, Week Numbers and more in T-SQL (Jeff Moden)
2022-07-13
34,149 reads
2019-10-28
7,222 reads
Create a Tally Function (fnTally)
Many people have published high performance, read-less, Inline Table Valued functions that use Itzik Ben-Gan's wonderful "Virtual Numbers Table" to replace WHILE loops and other forms of RBAR. This one is Jeff Moden's version.
2019-08-13 (first published: 2019-08-04)
7,778 reads
Stairway to Advanced T-SQL Level 3: Understanding Common Table Expressions (CTEs)
A CTE is a temporary result set defined by a simple query, and is used within the execution scope of a single INSERT, UPDATE, DELETE, or SELECT statement. In this article we will explore how to define and use CTE's.
2024-04-03 (first published: 2015-03-18)
6,477 reads
Create a Tally or Numbers Table
This creates a Tally or Numbers table which is frequently used to replace loops in code and is much faster than most loops.
2011-11-28 (first published: 2008-03-07)
6,699 reads
Blogs
Cost Visibility: Tracking and Analysing Your Cloud Spend
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
Whiling away an afternoon, thinking
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
Black Box vs. Gray Box vs. White Box Testing
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
Forums
Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
Comments posted to this topic are about the item Changing Data Types
Answering Questions On Dropped Columns
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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