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9 A This statement demonstrates the correct use of the RIGHT OUTER JOIN ON clause B, C, and D The JOB_ID column in the SELECT clause in B is not qualified and is therefore ambiguous, since the table from which this column comes is not specified C uses an OUTER JOIN without the keywords LEFT, RIGHT, or FULL 10 A The cross join associates every four rows from the REGIONS table 25 times with the rows from the COUNTRIES table, yielding a result set that contains 100 rows B, C, and D
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In this chapter you will learn to 05171 Define Subqueries 05172 Describe the Types of Problems That the Subqueries Can Solve 05173 List the Types of Subqueries 05174 Write Single-Row and Multiple-Row Subqueries 05181 Describe Set Operators 05182 Use a Set Operator to Combine Multiple Queries into a Single Query 05183 Control the Order of Rows Returned
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The previous chapters have dealt with the SELECT statement in considerable detail, but in every case the SELECT statement has been a single, self-contained command This chapter shows how two or more SELECT commands can be combined into one statement The first technique is the use of subqueries A subquery is a SELECT statement whose output is used as input to another SELECT statement (or indeed to a DML statement, as done in 8) The second technique is the use of set operators, where the results of several SELECT commands are combined into a single result set
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A subquery is a query that is nested inside a SELECT, INSERT, UPDATE, or DELETE statement or inside another subquery A subquery can return a set of rows or just one row to its parent query A scalar subquery returns exactly one value: a single row, with a single column Scalar subqueries can be used in most places in a SQL statement where you could use an expression or a literal value The places in a query where a subquery may be used are In the SELECT list used for column projection In the FROM clause In the WHERE clause In the HAVING clause A subquery is often referred to as an inner query, and the statement within which it occurs is then called the outer query There is nothing wrong with this terminology, except that it may imply that you can only have two levels, inner and outer In fact, the Oracle implementation of subqueries does not impose any practical limits on the level of nesting: the depth of nesting permitted in the FROM clause of a statement is unlimited, and that in the WHERE clause is up to 255 EXAM TIP Subqueries can be nested to an unlimited depth in a FROM clause but to only 255 levels in a WHERE clause They can be used in the SELECT list and in the FROM, WHERE, and HAVING clauses of a query A subquery can have any of the usual clauses for selection and projection The following are required clauses: A SELECT list A FROM clause The following are optional clauses: WHERE GROUP BY HAVING
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13: Subqueries and Set Operators
The subquery (or subqueries) within a statement must be executed before the parent query that calls it, in order that the results of the subquery can be passed to the parent Exercise 13-1: Try Out Types of Subquery In this exercise, you will write code that demonstrates the places where subqueries can be used Use either SQL*Plus or SQL Developer All the queries should be run when connected to the HR schema PART II 1 Log on to your database as user HR 2 Write a query that uses subqueries in the column projection list The query will report on the current numbers of departments and staff:
select sysdate Today, (select count(*) from departments) Dept_count, (select count(*) from employees) Emp_count from dual;
3 Write a query to identify all the employees who are managers This will require using a subquery in the WHERE clause to select all the employees whose EMPLOYEE_ID appears as a MANAGER_ID:
select last_name from employees where (employee_id in (select manager_id from employees));
4 Write a query to identify the highest salary paid in each country This will require using a subquery in the FROM clause:
select max(salary),country_id from (select esalary,department_id,location_id,lcountry_id from employees e join departments d using (department_id) join locations l using (location_id)) group by country_id;
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