Spring批量更新batchUpdate提交和Hibernate批量更新executeUpdate

1：先看hibernate的批量更新处理。

版本背景：hibernate 5.0.8

applicationContext.xml 配置清单：

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xmlns:tx="http://www.springframework.org/schema/tx"
    xmlns:aop="http://www.springframework.org/schema/aop"
    xmlns:context="http://www.springframework.org/schema/context"
    xsi:schemaLocation="
        http://www.springframework.org/schema/beans
        http://www.springframework.org/schema/beans/spring-beans.xsd
        http://www.springframework.org/schema/tx
        http://www.springframework.org/schema/tx/spring-tx.xsd
        http://www.springframework.org/schema/aop
        http://www.springframework.org/schema/aop/spring-aop.xsd
        http://www.springframework.org/schema/context
        http://www.springframework.org/schema/context/spring-context.xsd">

    <context:component-scan base-package="org.yugh.test.mvc">
        <context:exclude-filter type="annotation" expression="org.springframework.stereotype.Controller"/>
    </context:component-scan>
    <tx:annotation-driven transaction-manager="transactionManager"/>
    <!-- 属性文件位置 -->
    <bean id="annotationPropertyConfigurer"
        class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
        <property name="locations">
            <list>
                <value>classpath:init.properties</value>
            </list>
        </property>
    </bean>
    <!-- 配置数据源 c3p0 -->
    <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource"
        destroy-method="close">
        <property name="driverClass" value="${jdbc.driver}" />
        <property name="jdbcUrl" value="${jdbc.url}" />
        <property name="user" value="${jdbc.username}" />
        <property name="password" value="${jdbc.password}" />
        <!-- 请求超时时间 -->
        <property name="checkoutTimeout" value="30000" />
        <!-- 每60秒检查所有连接池中的空闲连接。默认值: 0，不检查 -->
        <property name="idleConnectionTestPeriod" value="30" />
        <!-- 连接数据库连接池最大空闲时间 -->
        <property name="maxIdleTime" value="30" />
        <!-- 连接池初始化连接数 -->
        <property name="initialPoolSize" value="5" />
        <property name="minPoolSize" value="5" />
        <property name="maxPoolSize" value="20" />
        <!--当连接池中的连接耗尽的时候c3p0一次同时获取的连接数。默认值: 3 -->
        <property name="acquireIncrement" value="5" />
    </bean>
    <!-- 配置hibernate的SessionFactory -->
     <bean id="sessionFactory"
        class="org.springframework.orm.hibernate5.LocalSessionFactoryBean">
        <!-- 注入数据源 相关信息看源码 -->
        <property name="dataSource" ref="dataSource" />
        <!-- 扫描hibernate注解 -->
        <property name="packagesToScan" value="org.yugh.test.mvc" />
        <!-- hibernate配置信息 -->
        <property name="hibernateProperties">
            <props>
                <prop key="hibernate.dialect">${hibernate.dialect}</prop>
                <prop key="hibernate.show_sql">${hibernate.show_sql}</prop>
                <prop key="hibernate.format_sql">${hibernate.format_sql}</prop>
                <prop key="hibernate.hbm2ddl.auto">${hibernate.hbm2ddl.auto}</prop>
                <!-- 开启二级缓存 ehcache -->
                <prop key="hibernate.cache.use_second_level_cache">${hibernate.cache.use_second_level_cache}</prop>
                <prop key="hibernate.cache.use_query_cache">${hibernate.cache.use_query_cache}</prop>
                <prop key="hibernate.cache.region.factory_class">${hibernate.cache.region.factory_class}</prop>
                <prop key="hibernate.cache.provider_configuration_file_resource_path">${hibernate.cache.provider_configuration_file_resource_path}
                </prop>
            </props>
        </property>
    </bean> 

    <!-- <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
        <property name="dataSource"> <ref bean="dataSource" /> </property> </bean> -->
        <!-- Spring处理方式 -->
    <bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate">
        <property name="dataSource">
            <ref bean="dataSource" />
        </property>
    </bean>

    <!-- Spring处理方式 -->

    <!-- <aop:aspectj-autoproxy proxy-target-class="true"/>
    <aop:config proxy-target-class="true">
        <aop:pointcut id="pointcut" expression="execution(* org.yugh.test.mvc.*.*(..))" />
        <aop:advisor advice-ref="txAdvice" pointcut-ref="pointcut" />
    </aop:config>
    <tx:advice id="txAdvice" transaction-manager="transactionManager">
        <tx:attributes>
            <tx:method name="*" />
        </tx:attributes>
    </tx:advice>
    <context:component-scan base-package="org.yugh.test.mvc" />
    <context:annotation-config />
    <tx:annotation-driven transaction-manager="transactionManager" />

    <bean id="transactionManager"
        class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
        <property name="dataSource">
            <ref bean="dataSource" />
        </property>
    </bean> -->

    <!-- Spring处理方式 -->

    <!-- 支持  @Transactional 标记 -->
     <tx:annotation-driven transaction-manager="transactionManager"  proxy-target-class="true"/>
    <!-- 配置事务管理器 -->
    <bean id="transactionManager"
        class="org.springframework.orm.hibernate5.HibernateTransactionManager">
        <property name="sessionFactory" ref="sessionFactory" />
    </bean>
    <!-- 配置事务增强处理Bean，指定事务管理器 -->
    <tx:advice id="transactionAdvice" transaction-manager="transactionManager">
        <!-- 配置详细事务处理语义 -->
        <tx:attributes>
            <tx:method name="insert*" propagation="REQUIRED" />
            <tx:method name="update*" propagation="REQUIRED" />
            <tx:method name="delete*" propagation="REQUIRED" />
            <tx:method name="get*" propagation="SUPPORTS" read-only="true" />
            <tx:method name="find*" propagation="SUPPORTS" read-only="true" />
            <tx:method name="select*" propagation="SUPPORTS" read-only="true" />
            <tx:method name="load*" propagation="SUPPORTS" read-only="true" />
            <!-- 其他采用默认事务方式 -->
            <tx:method name="*" />
        </tx:attributes>
    </tx:advice>
    <!-- Spring aop事务管理 -->
    <aop:config>
        <!-- 配置切入点 -->
        <aop:pointcut id="transactionPointcut" expression="execution(* org.yugh.test.mvc.services.*.*(..))" />
        <!--  指定在txAdvice切入点应用txAdvice事务增强处理-->
        <aop:advisor pointcut-ref="transactionPointcut"    advice-ref="transactionAdvice" />
    </aop:config> 

    <!-- redis工厂 -->
    <bean id="jedisConnectionFactory"
        class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" />
    <!-- p:host-name="172.20.22.4" p:port="6379" p:password="" -->
    <!-- redis服务封装 -->
    <bean id="redisServer" class="org.yugh.test.mvc.redis.RedisServer">
    </bean>
</beans>

主要事务用的hibernate。

DAO层封装代码：

　@Resource
  private SessionFactory sessionFactory;
  /**
   * 获取当前工作的Session
  */
  protected Session getSession() {
     return sessionFactory.getCurrentSession();
  }

业务层DAO大致代码：

   public int updateForHibernateTest(List<Object> list){
	Transaction transaction = getSession().beginTransaction();
	Long  beTime = System.currentTimeMillis();
	String sql = "update t_sale_order_ty_temp a set a.taker_name=?,a.taker_phone=?,a.pay_time=sysdate where a.order_id=? ";
	Query query = getSession().createSQLQuery(sql);
	    for (int i = 0; i < list.size(); i++) {
		query.setParameter(0, "yugh");
		query.setParameter(1, "批量提交更新");
		query.setParameter(2, list.get(i));
		query.executeUpdate();
	      }
	  //transaction.commit();
	    Long enTime = System.currentTimeMillis();
	    System.out.println("结束时间，共计花费：" + String.valueOf( (enTime - beTime)/1000 ) + " 秒！" );
	    return query.getMaxResults();
}

解释：list<object>的list就是取order_id的字段来批量更新 taker_name和 taker_phone值，pay_time字段是记录是否同步批量提交。

这种写法每次循环去更新一条，最原始的update方式，一秒5条数据左右。

好处：很容易和项目融合，弊端：慢。

10793条数据更新时间：

Hibernate: update t_sale_order_ty_temp a set a.taker_name=?,a.taker_phone=?,a.pay_time=sysdate where a.order_id=?
结束时间，共计花费：48 秒！
17:37:14,061  INFO GenericApplicationContext:960 - Closing org.springframework.context.support.GenericApplicationContext@18eed359: startup date [Mon Oct 23 17:36:22 CST 2017]; root of context hierarchy

　　

2：再看spring的批量提交处理。

版本背景：spring 4.2.5

变动applicationContext.xml 配置清单中有一条：

<bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate">
		<property name="dataSource">
			<ref bean="dataSource" />
		</property>
	</bean>

个人觉得spring的jdbctemplate可简可繁，属于小型、大型项目都可以随时拿来用的。

业务层DAO大致代码：

public int updateForSpring(final List<Object> list) {
	String sql = "update t_sale_order_ty_temp a set a.taker_name=?,a.taker_phone=?,a.pay_time=sysdate where a.order_id=? ";
	long beTime = System.currentTimeMillis();
	jdbcTemplate.batchUpdate(sql.toString(), new BatchPreparedStatementSetter() {
		@Override
		public void setValues(PreparedStatement pstmt, int i) throws SQLException {
			pstmt.setString(1, "yugh");
			pstmt.setString(2, "批量提交更新");
			pstmt.setString(3, list.get(i)+"");
		}

		@Override
		public int getBatchSize() {
			return list.size();
		}
	});
	long enTime = System.currentTimeMillis();
	System.out.println("批量更新结束，共计花费时间：" + String.valueOf( (enTime - beTime) /1000 ) + " 秒！" );
	return list.size();
}

解释：list<object>的list就是取10793条数据的order_id字段来批量更新 taker_name和 taker_phone值，pay_time字段是记录是否同步批量提交。

通过执行10793条数据后得出同步批量更新的数据。

好处：很容易和项目融合，代码精短。

10793条数据更新时间：

Hibernate: select order_id from t_sale_order_ty_temp where 1=1
批量更新结束，共计花费时间：20 秒！
17:52:37,912  INFO GenericApplicationContext:960 - Closing org.springframework.context.support.GenericApplicationContext@370736d9: startup date [Mon Oct 23 17:52:14 CST 2017]; root of context hierarchy

本文只介绍批量更新，批量insert和批量delete相比要简单多，事务和性能上也没有批量更新注意得多。