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public class UserAccount { private Long id; private String accountName; private Set<UserRole> roles = new HashSet<UserRole>(); public UserAccount() { } public UserAccount(final String accountName) { this.accountName = accountName; } @Id @GeneratedValue public Long getId() { return id; } public void setId(final Long id) { this.id = id; } @ManyToMany(fetch = LAZY, cascade = PERSIST) @JoinTable(name = "account_role", joinColumns = { @JoinColumn(name = "user") }, inverseJoinColumns = { @JoinColumn(name = "role") }) public Set<UserRole> getRoles() { return roles; } public void setRoles(final Set<UserRole> roles) { this.roles = roles; } @Column(unique = true, nullable = false) public String getAccountName() { return accountName; } public void setAccountName(String accountName) { this.accountName = accountName; } }

= 'T';

scala> def toInt(s: String): Option[Int] = tryo(s.toInt) scala> def toBool(s: String) = tryo(JBool.parseBoolean(s))

-- Show the object's values pl('o_worker_type.id pl('o_worker_type.code pl('o_worker_type.description pl('o_worker_type.active_date pl('o_worker_type.inactive_date -- Delete the test object delete WORKER_TYPE_OT where code = 'T';

We define methods that convert String to Int or Boolean. If the String can be converted, Some will be returned, otherwise None will be returned. With these helpers, we can define our method that converts from the parameters to a Person instance. This is shown in Listing 3-6.

= = = = =

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There are two types of annotations available to Hibernate. For the basic mapping information, Hibernate takes advantage of standard JPA annotations in the javax.persistence package namespace. A Hibernate entity mapped exclusively by using these annotations can be supported by other JPA-compliant ORM tools. Hibernate also offers a set of Hibernatespecific annotations that can be used to enable additional Hibernate features. Although we are using a Hibernate-specific set of Spring implementation classes, my implementation does not require any Hibernate-specific annotations.

Listing 3-6. Convert a Map to a Person def personFromParams(p: Map[String, String]): Option[Person] = for {name <- p.get("name") ageStr <- p.get("age") age <- toInt(ageStr) validStr <- p.get("valid") valid <- toBool(validStr)} yield new Person(name, age, valid)

'||o_worker_type.id); '||o_worker_type.code); '||o_worker_type.description); '||o_worker_type.active_date); '||o_worker_type.inactive_date);

In my code, any method that can logically fail (e.g., looking something up in a Map, converting a String to an Int) returns an Option. It is up to the calling code to determine what to do. Let s compare this to the Java implementation shown in Listing 3-7.

-- This time insert the test object using the instance variable insert into WORKER_TYPE_OT values ( o_worker_type ); -- Last, delete the object from the relational table delete WORKER_TYPE_T where code = 'T'; -- Commit all these operations commit; -- Confirm that the test completed successfully pl('Test completed successfully.'); end; / The results of the test unit in Listing 6-9 should look something like this:

Listing 3-7. Java Implementation of Convert a Map to a Person public Person personFromParams(Map<String, String> p) { try { if (!p.containsKey("name")) return null; String name = p.get("name"); if (!p.containsKey("age")) return null; String ageStr = p.get("age"); int age = Integer.parseInt(ageStr); if (!p.containsKey("valid")) return null; String validStr = p.get("valid"); bool valid = Boolean.parseBoolean(validStr); return new Person(name, age, valid); } catch (Exception e) { return null; } }

The @Entity annotation marks the class as being an entity for persistence into the database. Optionally, the annotation can supply the default name for the table that the entity will be mapped to.

SQL> @worker_type_ot o_worker_type.id o_worker_type.code o_worker_type.description o_worker_type.active_date o_worker_type.inactive_date Test completed successfully. = 112 = T = Test = 20070223 155157 = 20070223 155157

The Java code has to explicitly test each key. This increases the number of lines of code and reduces the readibility. The Java code has multiple return paths. This makes it more difficult to understand under what conditions the code will continue to flow. At a glance, it s difficult to determine the conditions under which the method will return non-null. Option has some methods to allow chaining. For example, if the parameter name that maps to age used to be called years , we can express the code as ageStr <- p.get("age") orElse p.get("years"). If p.get("age") returns None, p.get("years") will be called. You can chain orElse just like chaining || in the if conditional. The right side of the orElse expression will be evaluated only if the left side is None.

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