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Titlebook: Beginning SQL Queries; From Novice to Profe Clare Churcher Book 2016Latest edition Clare Churcher 2016 SQL.database.database design.databas

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31#
發(fā)表于 2025-3-26 23:28:20 | 只看該作者
How to Tackle a Query,nipulated to produce the required result. These queries are expressed using keywords describing operations such as INNER JOIN and INTERSECTION. We also looked at how to express queries in terms of the outcome approach, which describes the criteria that the resulting data must satisfy rather than the process for retrieving the result.
32#
發(fā)表于 2025-3-27 02:20:41 | 只看該作者
33#
發(fā)表于 2025-3-27 07:14:28 | 只看該作者
34#
發(fā)表于 2025-3-27 12:30:50 | 只看該作者
Subqueries,oins can be used to retrieve data from two or more tables. In many of the examples it was possible to construct quite different SQL queries to produce the same result. Depending on the context or the problem you will probably find that one approach will feel more natural.
35#
發(fā)表于 2025-3-27 16:19:31 | 只看該作者
36#
發(fā)表于 2025-3-27 21:05:44 | 只看該作者
37#
發(fā)表于 2025-3-27 22:40:11 | 只看該作者
38#
發(fā)表于 2025-3-28 05:08:56 | 只看該作者
Window Functions,to perform aggregates on a “window” of data based upon the current row. This provides an elegant way to specify queries to perform actions such as ranking, running totals, and rolling averages. Window functions also provide considerable flexibility when it comes to grouping data for aggregation as t
39#
發(fā)表于 2025-3-28 09:44:33 | 只看該作者
Efficiency Considerations,eries will probably be carried out in the blink of an eye. Complicating your life in an attempt to make your queries a little faster does not make a great deal of sense. However, if you have (or might have) vast amounts of data and speed is absolutely critical, you will need more skill and experienc
40#
發(fā)表于 2025-3-28 14:08:29 | 只看該作者
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