原文

方法一、

配置文件sqlMapConfig.xml

<!DOCTYPE configuration PUBLIC "-//mybatis.org//DTD Config 3.0//EN" "http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>

    <!--通过properties标签加载外部properties文件-->
    <properties resource="jdbc.properties"></properties>


    <!--自定义别名-->
    <typeAliases>
        <typeAlias type="com.zjq.domain.User" alias="user"></typeAlias>
    </typeAliases>


    <!--数据源环境-->
    <environments default="developement">
        <environment id="developement">
            <transactionManager type="JDBC"></transactionManager>
            <dataSource type="POOLED">
                <property name="driver" value="${jdbc.driver}"/>
                <property name="url" value="${jdbc.url}"/>
                <property name="username" value="${jdbc.username}"/>
                <property name="password" value="${jdbc.password}"/>
            </dataSource>
        </environment>
    </environments>


    <!--加载映射文件-->
    <mappers>
        <mapper resource="com/zjq/mapper/UserMapper.xml"></mapper>
    </mappers>


</configuration>

代码实现

     * 分批次批量插入
     * @throws IOException
     */
    @Test
    public void testBatchInsertUser() throws IOException {
        InputStream resourceAsStream =
                Resources.getResourceAsStream("sqlMapConfig.xml");
        SqlSessionFactory sqlSessionFactory = new SqlSessionFactoryBuilder().build(resourceAsStream);
        SqlSession session = sqlSessionFactory.openSession();
        System.out.println("===== 开始插入数据 =====");
        long startTime = System.currentTimeMillis();
        int waitTime = 10;
        try {
            List<User> userList = new ArrayList<>();
            for (int i = 1; i <= 300000; i++) {
                User user = new User();
                user.setId(i);
                user.setUsername("共饮一杯无 " + i);
                user.setAge((int) (Math.random() * 100));
                userList.add(user);
                if (i % 1000 == 0) {
                    session.insert("batchInsertUser", userList);
                    // 每 1000 条数据提交一次事务
                    session.commit();
                    userList.clear();

                    // 等待一段时间
                    Thread.sleep(waitTime * 1000);
                }
            }
            // 最后插入剩余的数据
            if(!CollectionUtils.isEmpty(userList)) {
                session.insert("batchInsertUser", userList);
                session.commit();
            }

            long spendTime = System.currentTimeMillis()-startTime;
            System.out.println("成功插入 30 万条数据,耗时："+spendTime+"毫秒");
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            session.close();
        }
    }

方法二、 以下是 Java 使用 JDBC 批处理实现 30 万条数据插入的示例代码

    public void testJDBCBatchInsertUser() throws IOException {
        Connection connection = null;
        PreparedStatement preparedStatement = null;

        String databaseURL = "jdbc:mysql://localhost:3306/test";
        String user = "root";
        String password = "root";

        try {
            connection = DriverManager.getConnection(databaseURL, user, password);
            // 关闭自动提交事务，改为手动提交
            connection.setAutoCommit(false);
            System.out.println("===== 开始插入数据 =====");
            long startTime = System.currentTimeMillis();
            String sqlInsert = "INSERT INTO t_user ( username, age) VALUES ( ?, ?)";
            preparedStatement = connection.prepareStatement(sqlInsert);

            Random random = new Random();
            for (int i = 1; i <= 300000; i++) {
                preparedStatement.setString(1, "共饮一杯无 " + i);
                preparedStatement.setInt(2, random.nextInt(100));
                // 添加到批处理中
                preparedStatement.addBatch();

                if (i % 1000 == 0) {
                    // 每1000条数据提交一次
                    preparedStatement.executeBatch();
                    connection.commit();
                    System.out.println("成功插入第 "+ i+" 条数据");
                }

            }
            // 处理剩余的数据
            preparedStatement.executeBatch();
            connection.commit();
            long spendTime = System.currentTimeMillis()-startTime;
            System.out.println("成功插入 30 万条数据,耗时："+spendTime+"毫秒");
        } catch (SQLException e) {
            System.out.println("Error: " + e.getMessage());
        } finally {
            if (preparedStatement != null) {
                try {
                    preparedStatement.close();
                } catch (SQLException e) {
                    e.printStackTrace();
                }
            }

            if (connection != null) {
                try {
                    connection.close();
                } catch (SQLException e) {
                    e.printStackTrace();
                }
            }
        }
    }