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Until now, the WHERE clauses shown herein only used fixed values. In an application, queries frequently depend on parameters. JPQL supports two types of parameter-binding syntax, allowing dynamic changes to the restriction clause of a query: positional and named parameters. Positional parameters are designated by the question mark ( ) followed by an integer (e.g., 1). When the query is executed, the parameter numbers that should be replaced need to be specified. SELECT c FROM Customer c WHERE c.firstName = 1 AND c.address.country = 2 Named parameters can also be used and are designated by a String identifier that is prefixed by the colon (:) symbol. When the query is executed, the parameter names that should be replaced need to be specified. SELECT c FROM Customer c WHERE c.firstName = :fname AND c.address.country = :country In the Queries section later in this chapter, you will see how an application binds parameters.

He has given up on the world and usually works purely for his own interest. This hero can still do great deeds, but his motivation is to help himself first of all. The player characters in Grand Theft Auto are usually anti-heroes, and so is Han Solo from Star Wars.

A subquery is a SELECT query that is embedded within a conditional expression of a WHERE or HAVING clause. The results of the subquery are evaluated and interpreted in the conditional expression of the main query. To retrieve the youngest customers from the database, a subquery with a MIN(age) is first executed and its result evaluated in the main query. SELECT c FROM Customer c WHERE c.age = (SELECT MIN(c. age) FROM Customer c)

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At the heart of any comparison is Boolean logic. With Boolean logic, there can only be one of two answers: yes or no. The following are some good examples of Boolean questions that you will use in your applications: Is 5 larger than 3 Does now have more than 5 letters Is 6/1/2010 later than today

This is a very common one in games. The loner sets out to right the world. He is usually a bit of a misfit, but can nevertheless have a heart of gold. Good examples are Guybrush Threepwood from Monkey Island or John McClane from Die Hard.

The ORDER BY clause allows the entities or values that are returned by a SELECT query to be ordered. The ordering applies to the entity attribute specified in this clause followed by the ASC or DESC keyword. The keyword ASC specifies that ascending ordering be used; DESC, the inverse, specifies that descending ordering be used. Ascending is the default and can be omitted. SELECT c FROM Customer c WHERE c.age > 18 ORDER BY c.age DESC Multiple expressions may also be used to refine the sort order. SELECT c FROM Customer c WHERE c.age > 18 ORDER BY c.age DESC, c.address.country ASC

The catalyst breaks a few of the rules of the myth. He doesn t actually change himself as the story progresses, but acts as a catalyst for changes in the people around him. We most often see this hero in serial stories. Sherlock Holmes is a catalyst, not changing much himself. The catalyst is very useful in games too. In fact, you could say that all the games that do not focus heavily on story have a catalyst hero. Mario never changes, and neither does Crash Bandicoot.

A blue pointer in the gutter of your editor denotes a breakpoint. When you run your application and your app hits a line of code that contains a breakpoint, your app will halt and display a blue line across the line of code with a breakpoint. See Figure 3 22.

The GROUP BY construct enables the aggregation of result values according to a set of properties. The entities are divided into groups based on the values of the entity field specified in the GROUP BY clause. To group customers by country and count them, use the following query: SELECT c.address.country, count(c) FROM Customer c GROUP BY c.address.country The GROUP BY defines the grouping expressions (c.address.country) over which the results will be aggregated and counted (count(c)). Note that expressions that appear in the GROUP BY clause must also appear in the SELECT clause. The HAVING clause defines an applicable filter after the query results have been grouped, similar to a secondary WHERE clause filtering the result of the GROUP BY. Using the previous query, by adding a HAVING clause, a result of only those countries where the number of customers is greater than 1,000 can be achieved. SELECT c.address.country, count(c) FROM Customer c GROUP BY c.address.country HAVING count(c) > 100 GROUP BY and HAVING can only be used within a SELECT clause.

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