基于Mybatis和BaseService的批量操作(MySql)

1.通用Mapper

import tk.mybatis.mapper.common.Mapper;
import tk.mybatis.mapper.common.MySqlMapper;

/**
 * 基础mapper,实现增删改查,分页等基本功能
 *
 * @param  泛型参数
 * @author lw
 * @since 2019年2月14日 13:48:17
 */
public interface BaseMapper extends Mapper, MySqlMapper {
}

2.DO对象的Mapper继承通用Mapper

import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Select;

import java.util.List;

/**
 * @author lw
 * @since 2019年2月14日 13:50:22
 */
@Mapper
public interface AdminMapper extends BaseMapper {
    @Select("select * from t_wj_seats_admin")
    List list();

    void batchInsert(List admins);
}

3.通用BaseService,这里只定义了批量插入

import org.apache.ibatis.session.ExecutorType;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.lang.reflect.Field;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.util.List;

/**
 * 通用业务逻辑层
 *
 * @author lw
 * @version 1.0
 * @since 2019/2/21 上午 11:26
 */
public class BaseService {
    @Autowired
    private BaseMapper baseMapper;

    @Autowired
    private SqlSessionFactory sqlSessionFactory;

    protected final Class doClass;

    private Integer batchCommitCount = 10000;

    public BaseService() {
        doClass = getGenericParamClass();
    }

    public BaseService(Integer batchCommitCount) {
        this.batchCommitCount = batchCommitCount;
        doClass = getGenericParamClass();
    }


    @Transactional(rollbackFor = Exception.class)
    public boolean batchInsert(List DOs) {
        if (CollectionUtils.isEmpty(DOs)) {
            return false;
        }

        SqlSession sqlSession = null;
        // 新获取一个模式为BATCH，关闭自动提交的session
        try {
            sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH, false);
            // 通过新的sqlSession获取Mapper
            BaseMapper mapper = (BaseMapper) sqlSession.getMapper(getMapperClass());
            for (int i = 0, len = DOs.size(); i < len; i++) {
                mapper.insertSelective(DOs.get(i));
                if (i % batchCommitCount == 0 && i >= batchCommitCount) {
                    // 提交,无法回滚
                    sqlSession.commit();
                    sqlSession.clearCache();
                }
            }

            sqlSession.commit();
            sqlSession.clearCache();
        } catch (Exception e) {
            // 回滚
            sqlSession.rollback();
            e.printStackTrace();
            return false;
        } finally {
            sqlSession.close();
        }

        return true;
    }


    /**
     * 获取对应的Mapper Class
     *
     * @return class
     */
    private Class getMapperClass() {
        Class clazz = baseMapper.getClass().getSuperclass();
        try {
            Field h = clazz.getDeclaredField("h");
            h.setAccessible(true);
            Object hObject = h.get(baseMapper);
            Field mapperInterface = hObject.getClass().getDeclaredField("mapperInterface");
            mapperInterface.setAccessible(true);
            Object mapperObject = mapperInterface.get(hObject);
            Field name = mapperObject.getClass().getDeclaredField("name");
            name.setAccessible(true);
            Object nameValue = name.get(mapperObject);
            return Class.forName((String) nameValue);
        } catch (Exception e) {
            e.printStackTrace();
        }

        throw new RuntimeException("基础BaseService中无法获取mapper真实Class对象");
    }

    /**
     * 获取泛型参数Class对象
     *
     * @return Class对象
     */
    private Class getGenericParamClass() {
        ParameterizedType genericSuperclass = (ParameterizedType) this.getClass().getGenericSuperclass();
        Type[] actualTypeArguments = genericSuperclass.getActualTypeArguments();
        return (Class) actualTypeArguments[0];
    }
}

4.连接url加入rewriteBatchedStatements=true

jdbc:mysql://localhost:3306/db?useSSL=false&rewriteBatchedStatements=true

4.具体业务逻辑类继承通用Service,直接调用父类的批量方法就好

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import tk.mybatis.mapper.entity.Example;

import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;

/**
 * 管理员业务逻辑类
 *
 * @author lw
 * @since 2019年2月14日 15:43:08
 */
@Service
public class AdminService extends BaseService {
    @Autowired
    private AdminMapper mapper;



    @Transactional(rollbackFor = Exception.class)
    public void test() {
        List admins = genList();
        long startTime = System.currentTimeMillis();
        batchInsert(admins);
        long endTime = System.currentTimeMillis();
        System.out.println(
                new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS").format(new Date()) +
                        "  baseService 批量插入" + admins.size() + "条 耗时(ms):" + (endTime - startTime));
    }


    private List genList() {
        int len = 100;
        List admins = new ArrayList<>(len);
        for (int i = 0; i < len; i++) {
            Admin admin = new Admin();
            admin.setUsername("测试" + i);
            admins.add(admin);
        }

        return admins;
    }
}

以上批量操作就完成啦

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将BaseService的批量插入与使用xml的foreach进行批量插入进行性能对比

1.xml文件

        insert t_admin (username)
        values
        
            (#{admin.username})
        

2.测试类

 @Transactional(rollbackFor = Exception.class)
    public void test() {
        List admins = genList();
        long startTime = System.currentTimeMillis();
        batchInsert(admins);
        long endTime = System.currentTimeMillis();
        System.out.println(
                new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS").format(new Date()) +
                        "  baseService 批量插入" + admins.size() + "条 耗时(ms):" + (endTime - startTime));
    }

    @Transactional(rollbackFor = Exception.class)
    public void test1() {
        List admins = genList();
        long startTime = System.currentTimeMillis();
        mapper.batchInsert(admins);
        long endTime = System.currentTimeMillis();
        System.out.println(
                new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS").format(new Date()) +
                        "  xml foreach 批量插入" + admins.size() + "条 耗时(ms):" + (endTime - startTime));
    }

    private List genList() {
        int len = 100;
        List admins = new ArrayList<>(len);
        for (int i = 0; i < len; i++) {
            Admin admin = new Admin();
            admin.setUsername("测试" + i);
            admins.add(admin);
        }

        return admins;
    }

3.结果分析

性能对比表格

	5千条数据	一万五千条数据	十万条数据	一千万条数据
xml的foreach的批量插入 耗时(ms)	153	388	2901	OutOfMemoryError
BaseService的批量插入 耗时(ms)	391	1399	29035	时间太长,未计量,但确实可以插入

可以看到,使用xml的foreach的批量插入方式相对而言效率要高很多,当数据量很大时,会耗空内存,

但是这可以进行编程控制,比如进行多次的批量插入.