CHAPTER 5
Optimization of Window Functions
This chapter describes the optimization of window functions in Microsoft SQL Server. It assumes that you are familiar with analyzing graphical query-execution plans and with the core operators such as Index Scan, Index Seek, Sort, Nested Loops, Parallelism, Compute Scalar, Filter, Stream Aggregate, and so on.
The chapter starts with a few general aspects of optimization of window functions, such as indexing guidelines, ordering NULLs last, improving parallelism with APPLY, row-mode versus batch-mode processing, and batch mode on columnstore versus batch mode on rowstore.
The chapter then delves into the specifics of optimization of each group of window functions: ranking functions, aggregate and offset ...
Get T-SQL Window Functions: For data analysis and beyond, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.