Download Beginning SQL Queries by Clare Churcher PDF

By Clare Churcher

Starting Queries with SQL is a pleasant and simply learn consultant to writing queries with the all-important ― within the database international ― SQL language. an individual who does any paintings in any respect with databases must comprehend whatever of SQL, and that's evidenced via the powerful revenues of such books as studying SQL (O'Reilly) and SQL Queries for Mere Mortals (Pearson). starting Queries with SQL is written by way of the writer of starting Database layout, an writer who's garnering nice studies on Amazon as a result readability and succinctness of her writing

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There are often several equivalent ways of expressing an SQL statement. Some ways are very much based on calculus, some are based on algebra, and some are a bit of both. During my time as a university lecturer I often asked the class whether they found the calculus or algebra expressions more intuitive for a particular query. The class was usually equally divided. Personally, I find that some queries just feel obvious in terms of relational algebra, whereas others feel much more simple when expressed in relational calculus.

24 CHAPTER 2 ■ SIMPLE QUERIES ON ONE TABLE Expression 1 Expression Expression 1 F ? T T F ? F F F F ? F ? Expression 2 Expression 2 T T F ? T F ? T T T T F T ? F T F ? T ? a) AND b) OR c) NOT Figure 2-7. Truth tables with three-valued logic (T = True, F = False, ? = Don’t know) Managing Duplicates If our tables have been designed well, they will have a primary key. This ensures that every row is unique. 3 Let’s look at an example. Consider retrieving just the FirstName column from the Member table.

Some reflect the process approach and some reflect the outcome approach — and some are a bit of both. 13 CHAPTER 2 Simple Queries on One Table If a database has been designed correctly, the data will be located in several different tables. For example, our golf database has separate tables for information about members, teams, and tournaments, as well as tables that connect these values; for example, which members play on which teams, enter which tournaments, and so on. To make the best use of our data, we will need to inspect values from different tables to retrieve the information we require.

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