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6. Now let s modify the last SELECT statement to create a full outer join on both join
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conditions. Enter and execute the following SQL statement:
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SELECT d.CD_TITLE, t.TYPE_NAME FROM COMPACT_DISCS d FULL JOIN COMPACT_DISC_TYPES dt ON d.COMPACT_DISC_ID = dt.COMPACT_DISC_ID FULL JOIN MUSIC_TYPES t ON dt.MUSIC_TYPE_ID = t.TYPE_ID;
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Your query results should now include 26 rows rather than 24. This is because the MUSIC_ TYPES table includes two rows that are unmatched: the Jazz row and the International row. In other words, no CDs match up to either of these two music types.
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In this Try This exercise, you created comma-separated, cross, and condition joins. The condition joins included inner and outer joins. As you can see, join operations provide a great deal of flexibility when querying data from the tables in your database. However, they re not the only solution when accessing data from more than one table. A subquery will often provide the same functionality as a join. In 12, I discuss subqueries in great detail. As you will see, they provide yet one more way for you to access data from multiple tables.
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1. You are using a comma-separated join operation to join two tables. The first table contains
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five rows and the second table contains three rows. How many rows will the Cartesian product table contain
2. What constitutes an equi-join condition in a WHERE clause 3. Which clause contains the equi-join condition in a comma-separated join 4. What basic guidelines should you follow when creating a comma-separated join 5. You re creating a join on two tables. You assign correlation names to each of these tables.
Which names should you use in the SELECT clause: the correlation names or the actual table names
6. Which type of join is nearly identical to the comma-separated join A Condition join B Natural join C Cross join D Named column join 7. How many tables are contained in a self-join 8. What guidelines must you follow when creating natural joins or named column joins 9. What is the difference between a natural join and a named column join 10. Which type of join contains a USING clause to specify the equi-join condition 11. What are the two types of condition joins 12. What are the three types of outer joins 13. Which type of condition join should you use if you want to return only matched rows A Inner join B Left outer join C Right outer join D Full outer join 14. Which type of condition join returns all matched and unmatched rows A Inner join B Left outer join C Right outer join D Full outer join
11:
Accessing Multiple Tables
15. Which type of join contains an ON clause A Cross join B Comma-separated join C Natural join D Condition join 16. A(n) ____________ operator allows you to combine separate SELECT statements into one
statement in order to join data in a query result.
17. What keyword can you use with a UNION operator to return all rows in the query results,
regardless of whether there are duplicate values
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Using Subqueries to Access and Modify Data
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SQL: A Beginner s Guide
Key Skills & Concepts
Create Subqueries That Return Multiple Rows Create Subqueries That Return One Value Work with Correlated Subqueries Use Nested Subqueries Use Subqueries to Modify Data
ubqueries, like joins, provide a way to access data in multiple tables with a single query. A subquery can be added to a SELECT, INSERT, UPDATE, or DELETE statement in order to allow that statement to use the query results returned by the subquery. The subquery is essentially an embedded SELECT statement that acts as a gateway to data in a second table. The data returned by the subquery is used by the primary statement to meet whatever conditions have been defined in that statement. In this chapter, I discuss how subqueries are used in various statements, particularly SELECT statements, and provide examples that demonstrate how to create subqueries and what type of query results to expect.
Create Subqueries That Return Multiple Rows
In 9, I include several examples of subqueries that are used to demonstrate certain types of predicates, such as IN and EXISTS. This chapter, in many ways, is an extension of that discussion because of the way in which subqueries are most commonly implemented in the WHERE clause of a SELECT statement. An understanding of these types of subqueries goes hand in hand with an understanding of how certain predicates are formulated to create specific search conditions, search conditions that rely on those subqueries to return data from a referenced table. You can divide subqueries in a WHERE clause into two general categories: those that can return multiple rows and those that can return only one value. In this section, I discuss the first of these categories. In the next section, Create Subqueries That Return One Value, I discuss the second category. As I expand on each subject, you ll no doubt recognize the statement formats from my discussion of predicates. Although this information might seem a bit repetitive (which is why I keep it brief), it is presented here not only to provide a cohesive overview of subqueries, but also to provide a different perspective. In other words, rather than looking at subqueries through the perspective of the predicate, we ll look directly at the subquery itself. Despite the fact that my discussion focuses on subqueries that are implemented through the WHERE clause, the use of subqueries is not limited to that clause. Indeed, you can include
12:
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