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Titlebook: Expert T-SQL Window Functions in SQL Server 2019; The Hidden Secret to Kathi Kellenberger,Clayton Groom,Ed Pollack Book 2019Latest edition

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樓主: 小天使
21#
發(fā)表于 2025-3-25 07:20:58 | 只看該作者
22#
發(fā)表于 2025-3-25 08:17:00 | 只看該作者
23#
發(fā)表于 2025-3-25 13:39:07 | 只看該作者
Lisa M. Chirch,Jurate Ivanavicienen, these functions have made solving tricky queries easier. In some cases, these functions replace cursors, temp tables, and triangular joins. They are quite powerful tools before performance is even considered.
24#
發(fā)表于 2025-3-25 16:16:13 | 只看該作者
Looking to the Future: Eradication by 2030?,vanced analytical techniques. At its simplest, being able to locate gaps and islands will tell us about missing data values. As we delve deeper, it will allow us to identify streaks, droughts, or anomalous events worthy of further investigation.
25#
發(fā)表于 2025-3-25 22:41:55 | 只看該作者
26#
發(fā)表于 2025-3-26 04:13:54 | 只看該作者
Discovering Ranking Functions,in a query‘s results. The fourth ranking function, ., divides the rows by assigning a bucket number to each row in the results. The group of low-ranking rows gets an . value of 1 while the highest-ranking group of rows is assigned the top number.
27#
發(fā)表于 2025-3-26 05:30:24 | 只看該作者
Calculating Running and Moving Aggregates, do it, or possibly you are familiar with some query techniques like self-joins to accomplish the task. If you are running SQL Server 2012 or later, you are in luck! Window functions make it easy to calculate running totals, moving averages, and more.
28#
發(fā)表于 2025-3-26 08:59:13 | 只看該作者
Taking a Peek at Another Row,set functions in this book, are my favorite T-SQL functions, and they are ., ., ., and .. These functions let you include any columns from other rows in your results without a self-join and with fantastic performance.
29#
發(fā)表于 2025-3-26 16:32:59 | 只看該作者
30#
發(fā)表于 2025-3-26 17:04:50 | 只看該作者
Hitting a Home Run with Gaps, Islands, and Streaks,vanced analytical techniques. At its simplest, being able to locate gaps and islands will tell us about missing data values. As we delve deeper, it will allow us to identify streaks, droughts, or anomalous events worthy of further investigation.
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