Query Optimizer

SQLServerCentral Article

Optimized Plan Forcing with Query Store in SQL Server 2022

  • Article

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.

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2023-09-04

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External Article

How to Confuse the SQL Server Query Optimizer

  • Article

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

Technical Article

Importance of Statistics and How It Works in SQL Server – Part 1

  • Article

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.

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2015-01-07

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Technical Article

Understanding SQL Server Query Optimization Statistics

  • Article

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.

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2013-07-10

4,410 reads

External Article

The SQL Server Query Optimizer

  • Article

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

Adding new column with DEFAULT II

Which number did the two COUNT(*) return:

DROP TABLE IF EXISTS #tmp
CREATE TABLE #tmp (id INT NOT NULL)

INSERT INTO #tmp (id) 
SELECT gs.value
  FROM GENERATE_SERIES(1, 5) AS gs

ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value

ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

See possible answers