2026-01-30
411 reads
Query Optimizer
Optimized Plan Forcing with Query Store in SQL Server 2022
In this Article , We will delve into the world of Query Store and explore how to use Optimized Plan Forcing to improve performance in SQL Server 2022. We will discuss what it is, how it works, and how it can impact your system's performance.
2023-09-04
5,311 reads
Query Optimizer Suggests Wrong Index and Query Plan -- Why?
A good example where the Query optimizer picks the wrong query plan and suggested index.
2021-02-25
5,088 reads
How to Confuse the SQL Server Query Optimizer
Want to 'trick' SQL Server into performing millions of logical reads to return data, when only are few thousand were really required? In this article, Gail Shaw examines three common forms of generic SQL that can and will confuse the SQL Server Optimizer to the point that it generates and reuses very inefficient execution plans.
2015-09-21
3,875 reads
Importance of Statistics and How It Works in SQL Server – Part 1
SQL Server Query Optimizer uses statistical information to estimate the cardinality in a query result. This enables the SQL Server Query Optimizer to create a high-quality query execution plan. Read on to learn how to use statistics and why it’s needed.
2015-01-07
8,382 reads
2013-09-19
2,874 reads
Understanding SQL Server Query Optimization Statistics
In this article, you will learn what query optimisation statistics are and how SQL Server query optimizer uses statistics. You will also learn how to create and manage statistics, and what are the different ways to determine when statistics were last updated in SQL Server.
2013-07-10
4,410 reads
The SQL Server Query Optimizer
To understand how to write SQL code for SQL Server that performs well, it is important to appreciate how the query optimizer works. Ben Nevarez explains the essentials, in a broad sweep through a complex subject, in an article taken from his new book 'Inside the SQL Server Query Optimizer'.
2011-09-09
4,876 reads
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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