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Subqueries can be used in the WHERE and HAVING clauses of a query. A subquery is a complete select query inside a pair of parentheses that is embedded within a conditional expression. The results of executing the subquery (which will be either a scalar result or a collection of values) are then evaluated in the context of the conditional expression. Subqueries are a powerful technique for solving the most complex query scenarios. Consider the following query: SELECT e FROM Employee e WHERE e.salary = (SELECT MAX(emp.salary) FROM Employee emp) This query returns the employee with the highest salary from among all employees. A subquery consisting of an aggregate query (described later in this chapter) is used to return the maximum salary value, and then this result is used as the key to filter the employee list by salary. A subquery can be used in most conditional expressions and can appear on either the left or right side of an expression. The scope of an identifier variable name begins in the query where it is defined and extends down into any subqueries. Identifiers in the main query can be referenced by a subquery, and identifiers introduced by a subquery can be referenced by any subquery that it creates. If a subquery declares an identifier variable of the same name, it overrides the parent declaration and prevents the subquery from referring to the parent variable. In the previous example, the declaration of the identification variable e in the subquery overrides the same declaration from the parent query.

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NOTE Overriding an identification variable name in a subquery is not guaranteed to be supported by all providers. Unique names should be used to ensure portability.

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The ability to refer to a variable from the main query in the subquery allows the two queries to be correlated. Consider the following example: SELECT e FROM Employee e WHERE EXISTS (SELECT 1 FROM Phone p WHERE p.employee = e AND p.type = 'Cell') This query returns all the employees who have a cell phone number. This is also an example of a subquery that returns a collection of values. The EXISTS expression in this example returns true if any results are returned by the subquery. Returning the literal 1 from the subquery is a standard practice with EXISTS expressions because the actual results selected by the subquery do not matter; only the number of results is relevant. Note that the WHERE clause of the subquery references the identifier variable e from the main query and uses it to filter the subquery results. Conceptually, the subquery can

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Fortunately, the normal case for a transaction using the global isolation level is much simpler. We provide a more standard implementation of the createUser() method for comparison in Listing 9-1. Listing 9-1. Using the Global (Default) Isolation Level public static void createUser(String username) throws HibernateException { Session session = sessions.openSession(); Transaction tx = null; try { // Begin the transaction tx = session.beginTransaction(); // Normal usage of the Session here... Publisher p = new Publisher(username); Subscriber s = new Subscriber(username); session.create(p); session.create(s); // Commit the transaction tx.commit(); tx = null; } catch (HibernateException e) { // Handle a failed transaction if (tx != null) tx.rollback(); } finally { // Close the session session.close(); } }

be thought of as executing once for each employee In practice, many database servers will optimize these types of queries into joins or inline views in order to maximize performance This query could also have been written using a join between the Employee and Phone entities with the DISTINCT operator used to filter the results The advantage in using the correlated subquery is that the main query remains unburdened by joins to other entities Quite often if a join is used only to filter the results, there is an equivalent subquery condition that can alternately be used in order to remove constraints on the join clause of the main query or even to improve query performance The FROM clause of a subquery can also create new identification variables out of path expressions using an identification variable from the main query.

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For example, the previous query could also have been written as follows: SELECT e FROM Employee e WHERE EXISTS (SELECT 1 FROM ephones p WHERE ptype = 'Cell') In this version of the query, the subquery uses the collection association path phones from the Employee identification variable e in the subquery This is then mapped to a local identification variable p that is used to filter the results by phone type Each occurrence of p refers to a single phone associated with the employee To better illustrate how the translator handles this query, consider the equivalent query written in SQL: SELECT eid, ename, esalary, emanager_id, edept_id, eaddress_id FROM emp e WHERE EXISTS (SELECT 1 FROM phone p WHERE pemp_id = eid AND ptype = 'Cell') The expression ephones is converted to the table mapped by the Phone entity.

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