The SQL (Structured Query Language) language is a declarative language that became the "Data Language" used for describing "what I need" and "where to fetch it from" in most organizations. OOP (Object Oriented Programming) languages became the most common practice among developers widely adopted by R&D organizations around the world. So how do we bridge the gap?
2008-05-23
3,819 reads
Every day, out in the various discussion boards devoted to Microsoft SQL Server, the same types of questions come up again and again: Why is this query running slow? Is my index getting used? Why isn't my index getting used? In order to arrive at the answer you have to ask the same return question in each case: have you looked at the execution plan? We are very pleased to be allowed to publish the first chapter of Grant Fritchey's excellent new book on execution plans.
2008-05-22
4,960 reads
In this article we will share some of the common reasons for slow-running queries and what your approach should be for identifying and fixing them.
2008-05-08
8,233 reads
SQL Server expert Jeff Moden discusses a common problem seen in many update statements.
2008-03-14
12,592 reads
This article will show you how to use the sys.dm_exec_cached_plans DMV to monitor the performance of stored procedures
2008-03-13
3,804 reads
Discusses Index Selection impact when functions are wrapped around WHERE clause filtering columns
2008-02-28
16,010 reads
2008-02-20
3,316 reads
2008-02-18
3,246 reads
Every developer needs to ensure that each TSQL statement is optimized. This article will give you a few different ideas on how to identify slow running queries and provide you with some tips on monitor your query performance while you make iterative changes to each query to try and improve performance.
2008-01-22
4,005 reads
Many application performance problems can be traced to poorly performing database queries; however, there are many ways you can improve database performance. SQL ServerTM 2005 gathers a lot of information that you can use to identify the causes of such performance issues.
2008-01-11
3,144 reads
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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