Hibernate 处理大数据量的方案

大家知道，Hibernate 有 一级 cache (Session 级) 和二级 cache (需另外配置，如 ehcache),
以下代码，Hibernate 在处理到大约50000条记录时，就会抛出 解决办法：

使用"批处理”(Batch process)

Session session = null;try {session = HibernateUtil.getSessionFactory().getCurrentSession();        Transaction tx = session.beginTransaction();       for(int i=0; i<200000; i++ ) { log.debug(i + "................."); MiniMessage message = new MiniMessage("Hello World" + (i+1)); session.save(message); if ( i % 100 == 0 ) {  //100, same as the JDBC batch size set in xml file:  // <property name="hibernate.jdbc.batch_size">100</property>  //flush a batch of inserts and release memory:  log.debug("fulsh at : " + i + ".................");  session.flush();  session.clear(); }}        session.getTransaction().commit();} catch (HibernateException he) {      session.getTransaction().rollback();      throw he;}

在这种情况下，需要在hibernate.cfg.xml 配置几个参数来达到更好的效果：

 <property name="hibernate.jdbc.batch_size">100</property> 

  <!-- Disable the second-level cache because thebatch process is one-off process. -->   <propertyname="hibernate.cache.provider_class">org.hibernate.cache.NoCacheProvider</property>   <propertyname="hibernate.cache.use_second_level_cache">false</property>   <propertyname="hibernate.cache.use_query_cache">false</property>   <propertyname="hibernate.cache.use_minimal_puts">false</property>