Query Data Store (QDS)

The Basics - Level 1 of the Stairway to Query Store

  • Stairway Step

Introduction Instead of going straight into the topic of the Query Store, I would like to start this Stairway Series by mentioning a few performance tuning scenarios that are very common to production DBAs. I think most of us have been in one of these situations at some time: An application experiencing slowness after a […]

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2020-10-07 (first published: )

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External Article

Query Store and Parameterization Problems

  • Article

The query store gives us a novel way of identifying those queries that are causing performance problems when they are parameterized by SQL Server for reuse. Although it is relatively simple to ensure that certain troublesome queries avoid the problem, it is laborious to identify these queries. Additionally, Query Store gives us the means to fix the problem for groups of queries by means of plan guides without changing the DDL at all. Dennes Torres explains the details

2017-07-31

5,234 reads

External Article

Query Store and In-Memory OLTP

  • Article

Once you have Query Store enabled on your databases, runtime statistics are generated for your queries; but what about the natively-compiled stored procedures and memory optimised tables that come with In-Memory OLTP? Do you get the full range of runtime statistics? This is an intriguing question that Enrico explores and answers.

2017-03-07

4,670 reads

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Split Large Queries in Athena with a Simple Modulo Trick

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Finding Trailing Spaces

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Question of the Day

Finding Trailing Spaces

I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:

CustomerID CustomerName PreferredName
1          Steve        Steve               
2          Andy         Andy               
3          Brian        Brian               
4          Allan        Allan               
5          Devin        Devin               
6          Steve        Steve               
7          Sally        Sally
I want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT 
       CustomerID,
       CustomerName,
       PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName);

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