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Matching Supply With Demand — Solutions, Part 1
Last month, I covered Peter Larsson's puzzle of matching supply with demand. I showed Peter's straightforward cursor-based solution and explained that it has linear scaling. The challenge I left you...
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Matching Supply With Demand — Solutions, Part 2
[ Jump to: Original challenge | Solutions: Part 1 | Part 2 | Part 3 ] In this article, I continue the coverage of solutions to Peter Larsson’s enticing matching supply with demand challenge. Thanks...
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String Aggregation Over the Years in SQL Server
Since SQL Server 2005, the trick of using FOR XML PATH to denormalize strings and combine them into a single (usually comma-separated) list has been very popular. In SQL Server 2017, however,...
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Matching Supply With Demand — Solutions, Part 3
[ Jump to: Original challenge | Solutions: Part 1 | Part 2 | Part 3 ] In this article, I continue exploring solutions to the matching supply with demand challenge. Thanks to Luca, Kamil Kosno, Daniel...
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Islands T-SQL Challenge
Recently, I was introduced to a new islands challenge by my friend Erland Sommarskog. It’s based on a question from a public database forum. The challenge itself isn’t complicated to handle when using...
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Are You Sorted? Tips Concerning T-SQL Window Ordering
A supporting index can potentially help avoid the need for explicit sorting in the query plan when optimizing T-SQL queries involving window functions. By a supporting index, I mean one with the window...
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T-SQL Windowing Improvements in SQL Server 2022
Microsoft recently released the first public preview of SQL Server 2022. This release has a number of T-SQL improvements. In this article I focus on windowing and NULL-related improvements. These...
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T-SQL Can Be Expressive Without Sacrificing Performance
Even with its warts and limitations, Transact-SQL is a beautiful language, allowing for flexible declarative expression about what you’re asking the database engine to do for you. Itzik Ben-Gan has...
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Emulating the GROUPS Window Frame Option
Generally in life, it’s good to have the perfect tools to handle any given task. But sometimes a tool you need isn’t available, and you have to figure out a solution without it. The same goes...
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DATE_BUCKET and DATETRUNC Improve Optimization of Time-Based Grouping
Time-based grouping and aggregation are common in analyzing data using T-SQL—for example, grouping sales orders by year or by week and computing order counts per group. When you apply time-based...
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