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The WHERE clause for the subquery then adds the necessary join condition to correlate the subquery to the primary query, in this case the expression pemp_id = eid The join criteria applied to the PHONE table results in all the phones owned by the related employee..

A database can conform to these various levels of isolation in a number of ways, and you will need a working knowledge of locking to elicit the desired behavior and performance from your application in all circumstances. To prevent simultaneous access to data, the database itself will acquire a lock on that data. This may be acquired only for the momentary operation on the data, or it may be retained until the end of the transaction. The former is optimistic locking, the latter is pessimistic locking. The Read Uncommitted isolation level always acquires optimistic locks, whereas the serializable isolation level will only acquire pessimistic locks. Some databases offer a feature that allows you to append the FOR UPDATE query to a select operation, which requires the database to acquire a pessimistic lock even in the lower isolation levels.

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The next step is the most important because we export the POJO-based policy quotation service as a Burlap remote service. Again, this can be done with mere configuration, as in Listing 5-39. In this case, the BurlapServiceExporter acts as the service endpoint.

The IN expression can be used to check whether a single-valued path expression is a member of a collection. The collection can be defined inline as a set of literal values or can be derived from a subquery. The following query demonstrates the literal notation by selecting all the employees who live in New York or California: SELECT e FROM Employee e WHERE e.address.state IN ('NY', 'CA') The subquery form of the expression is similar, replacing the literal list with a nested query. The following query returns employees who work in departments that are contributing to projects beginning with the prefix QA : SELECT e FROM Employee e WHERE e.department IN (SELECT DISTINCT d FROM Department d JOIN d.employees de JOIN de.projects p

WHERE p.name LIKE 'QA%') The IN expression can also be negated using the NOT operator. For example, the following query returns all the Phone entities with a phone number other than office or home: SELECT p FROM Phone p WHERE p.type NOT IN ('Office', 'Home')

< xml version="1.0" encoding="UTF-8" > <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd " > <bean name="policyQuoteServiceImpl" class="com.apress.einsure.business.impl. PolicyQuoteApplicationServiceImpl"> </bean> <bean name="/PolicyQuoteService" class="org.springframework.remoting.caucho. BurlapServiceExporter"> <property name="service" ref="policyQuoteServiceImpl"/> <property name="serviceInterface" value="com.apress.einsure.business. api.PolicyQuoteApplicationService"/> </bean> </beans>

We will begin by creating the POJOs for the application. This is not strictly necessary in a new application, as they can be generated directly from the mapping files, but since this will be familiar territory it should help to provide some context for our creation of the mapping files. From the class diagram, we know that four classes will be persisted into the database (see Listings 3-9 through 3-12). Each class that will be persisted by Hibernate is required to have a default constructor with at least package scope. They should have get and set methods for all of the attributes that are to be persisted. We will provide each with an id field, allowing this to be the primary key in our database (we prefer the use of surrogate keys, as changes to business rules can make the use of direct keys risky).

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