GWT Spring + Hibernate +Infinispan数据网格
GWT Spring + Hibernate +Infinispan数据网格
最大化Hibernate性能是使用infinispan数据网格,使用Infinispan作为Hibernate的第二级缓存, Infinispan是JBoss Cache的继任者,Hiberante从版本3.5上支持Infinispan作为第二级缓存。
建议 Hibernate的配置,Hibernate和Infinispan使用JTA事务,以便在同一事务中完成一个操作。否则,数据库和二级缓存的操作将不被视为一个原子操作。
由于使用tomcat,没有提供JTA ,我们要实现在Spring的JTA环境的框架,使用Atomikos。
配置persistence.xml :
<persistence xmlns="http://java.sun.com/xml/ns/persistence"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_2_0.xsd"
version="2.0">
<persistence-unit name="MyPersistenceUnit" transaction-type="JTA">
<provider>org.hibernate.ejb.HibernatePersistence</provider>
<properties>
<property name="hibernate.hbm2ddl.auto" value="update" />
<property name="hibernate.show_sql" value="false" />
<property name="hibernate.dialect" value="org.hibernate.dialect.MySQL5InnoDBDialect" />
<property name="hibernate.transaction.manager_lookup_class" value="com.atomikos.icatch.jta.hibernate3.TransactionManagerLookup" />
<property name="hibernate.cache.use_second_level_cache" value="true"/>
<property name="hibernate.cache.use_query_cache" value="true"/>
<property name="hibernate.cache.region.factory_class" value="org.hibernate.cache.infinispan.InfinispanRegionFactory"/>
<!--
<property name="hibernate.cache.infinispan.entity.eviction.strategy" value= "LRU"/>
<property name="hibernate.cache.infinispan.entity.eviction.wake_up_interval" value= "2000"/>
<property name="hibernate.cache.infinispan.entity.eviction.max_entries" value= "5000"/>
<property name="hibernate.cache.infinispan.entity.expiration.lifespan" value= "60000"/>
<property name="hibernate.cache.infinispan.entity.expiration.max_idle" value= "30000"/>
-->
</properties>
</persistence-unit>
</persistence>
配置Spring整合Atomikos JTA事务,配置applicationContext.xml
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p"
xmlns:aop="http://www.springframework.org/schema/aop" xmlns:context="http://www.springframework.org/schema/context"
xmlns:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:task="http://www.springframework.org/schema/task"
xsi:schemaLocation="
http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/jee http://www.springframework.org/schema/jee/spring-jee-3.0.xsd
http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
http://www.springframework.org/schema/task http://www.springframework.org/schema/task/spring-task-3.0.xsd">
<context:component-scan base-package="com.javacodegeeks.gwtspring" />
<task:annotation-driven executor="myExecutor"
scheduler="myScheduler" />
<task:executor id="myExecutor" pool-size="5" />
<task:scheduler id="myScheduler" pool-size="10" />
<tx:annotation-driven />
<bean id="entityManagerFactory"
class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean">
<property name="dataSource" ref="dataSource" />
<property name="jpaVendorAdapter">
<bean class="org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter" />
</property>
</bean>
<bean id="dataSource" class="com.atomikos.jdbc.AtomikosDataSourceBean"
init-method="init" destroy-method="close">
<property name="uniqueResourceName" value="javacodegeeks" />
<property name="xaDataSourceClassName"
value="com.mysql.jdbc.jdbc2.optional.MysqlXADataSource" />
<property name="xaProperties">
<props>
<prop key="URL">jdbc:mysql://localhost:3306/javacodegeeks</prop>
<prop key="user">***</prop>
<prop key="password">***</prop>
</props>
</property>
<property name="maxPoolSize" value="50" />
<property name="minPoolSize" value="20" />
</bean>
<bean id="atomikosTransactionManager" class="com.atomikos.icatch.jta.UserTransactionManager"
init-method="init" destroy-method="close">
<property name="forceShutdown" value="false" />
</bean>
<bean id="atomikosUserTransaction" class="com.atomikos.icatch.jta.J2eeUserTransaction">
<property name="transactionTimeout" value="300" />
</bean>
<bean id="transactionManager"
class="org.springframework.transaction.jta.JtaTransactionManager"
depends-on="atomikosTransactionManager,atomikosUserTransaction">
<property name="transactionManager" ref="atomikosTransactionManager" />
<property name="userTransaction" ref="atomikosUserTransaction" />
<property name="allowCustomIsolationLevels" value="true" />
</bean>
</beans>
案例实体代码:
… import statements here …
@Cache (usage=CacheConcurrencyStrategy.TRANSACTIONAL)
@Entity
@Table(name = "EMPLOYEE")
public class EmployeeDTO implements java.io.Serializable {
private static final long serialVersionUID = 7440297955003302414L;
…
}
我们决定了缓存的并发策略为"TRANSACTIONAL",因为我们不仅要执行检索,也创建/更新/删除缓存对象的操作,当然这样性能会比较差。