有3种实现方式:foreach,spring事务,以及ExecutorType.BATCH.
1. foreach方式
这种方式实际是对SQL语句进行拼接,生成一个长长的SQL,对很多变量进行绑定。如果数据量不大(1000个以内),可以用这种方式。如果数据量太大,可能数据库会报错。
定义接口
public interface StudentMapper05 { public void insertStudent(List<Student> studentList); }
定义mapper
适用于Oracle数据库
<insert id="insertStudent"> BEGIN <foreach collection="list" item="student" index="index" separator=""> INSERT INTO test_student(ID, NAME, BRANCH, PERCENTAGE, PHONE, EMAIL) VALUES (SEQ_ID.nextval, #{student.name}, #{student.branch}, #{student.percentage}, #{student.phone}, #{student.email}); </foreach> END; </insert>
这个mapper的含义,就是把上送的studentList拼接成一个长SQL,拼成的SQL类似:
BEGIN INSERT INTO test_student(ID, NAME, BRANCH, PERCENTAGE, PHONE, EMAIL) VALUES (SEQ_ID.nextval, ?, ?, ?, ?, ?); INSERT INTO test_student(ID, NAME, BRANCH, PERCENTAGE, PHONE, EMAIL) VALUES (SEQ_ID.nextval, ?, ?, ?, ?, ?); INSERT INTO test_student(ID, NAME, BRANCH, PERCENTAGE, PHONE, EMAIL) VALUES (SEQ_ID.nextval, ?, ?, ?, ?, ?); ... END;
studentList有几个,就会生成多少个insert语句拼接到一起,每个?都会进行变量绑定,所以当studentList中数据量较多时,生成的SQL会很长,导致数据库执行报错。
dao
public class StudentDao05 { private StudentMapper05 studentMapper; // 省略getter和setter public void insertStudentList(List<Student> studentList) { studentMapper.insertStudent(studentList); } }
beans
mybatis-spring-05.xml:
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean"> <property name="dataSource" ref="oracleDataSource" /> <property name="configLocation" value="classpath:mybatis/config/mybatis-config-05.xml"/> </bean> <bean id="studentMapper05" class="org.mybatis.spring.mapper.MapperFactoryBean"> <property name="mapperInterface" value="com.ws.experiment.spring.mybatis.mapper.StudentMapper05" /> <property name="sqlSessionFactory" ref="sqlSessionFactory" /> </bean> <bean id="studentDao05" class="com.ws.experiment.spring.mybatis.dao.StudentDao05"> <property name="studentMapper" ref="studentMapper05" /> </bean>
main函数
public static void main(String[] args) { String[] configFiles = new String[]{"spring-beans-config.xml", "mybatis/mybatis-spring-05.xml"}; // 分别配置datasource和mybatis相关bean ApplicationContext context = new ClassPathXmlApplicationContext(configFiles); StudentDao05 studentDao = (StudentDao05)context.getBean("studentDao05"); int counts[] = new int[]{10, 50, 100, 200, 500, 1000, 2000, 3000, 5000, 8000}; for (int count : counts) { List<Student> studentList = new ArrayList<>(); for (int i = 0; i < count; i++) { Student st = new Student(); st.setName("name"); st.setBranch(""); st.setEmail(""); st.setPercentage(0); st.setPhone(0); studentList.add(st); } long startTime = System.currentTimeMillis(); studentDao.insertStudentList(studentList); long endTime = System.currentTimeMillis(); System.out.println("插入" + count + "笔数据耗时: " + (endTime - startTime) +" ms"); } }
测试结果
插入100笔数据耗时: 197 ms
插入200笔数据耗时: 232 ms
插入500笔数据耗时: 421 ms
插入1000笔数据耗时: 650 ms
插入2000笔数据耗时: 1140 ms
插入3000笔数据耗时: 27113 ms
插入5000笔数据耗时: 98213 ms
插入8000笔数据耗时: 301101 ms
2. 借助spring事务
借助spring事务,插入一组数据
开启spring事务
<bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager"> <property name="dataSource" ref="oracleDataSource" /> </bean> <tx:annotation-driven transaction-manager="transactionManager" />
定义接口
public interface StudentMapper06 { public void insertStudent(@Param("student") Student student); }
mapper
<insert id="insertStudent"> INSERT INTO test_student(ID, NAME, BRANCH, PERCENTAGE, PHONE, EMAIL) VALUES (SEQ_ID.nextval, #{student.name}, #{student.branch}, #{student.percentage}, #{student.phone}, #{student.email}) </insert>
dao
public class StudentDao06 { private StudentMapper06 studentMapper; // 省略getter和setter @Transactional // spring事务控制 public void insertStudentList(List<Student> students) { for (Student student : students) { studentMapper.insertStudent(student); } } }
beans
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean"> <property name="dataSource" ref="oracleDataSource" /> <property name="configLocation" value="classpath:mybatis/config/mybatis-config-06.xml"/> </bean> <bean id="studentMapper06" class="org.mybatis.spring.mapper.MapperFactoryBean"> <property name="mapperInterface" value="com.ws.experiment.spring.mybatis.mapper.StudentMapper06" /> <property name="sqlSessionFactory" ref="sqlSessionFactory" /> </bean> <bean id="studentDao06" class="com.ws.experiment.spring.mybatis.dao.StudentDao06"> <property name="studentMapper" ref="studentMapper06" /> </bean>
main
略
测试结果
batchInsert001插入10笔数据耗时: 602 ms
batchInsert001插入50笔数据耗时: 196 ms
batchInsert001插入100笔数据耗时: 284 ms
batchInsert001插入200笔数据耗时: 438 ms
batchInsert001插入500笔数据耗时: 944 ms
batchInsert001插入1000笔数据耗时: 1689 ms
batchInsert001插入2000笔数据耗时: 3138 ms
batchInsert001插入3000笔数据耗时: 4427 ms
batchInsert001插入5000笔数据耗时: 7368 ms
batchInsert001插入8000笔数据耗时: 11832 ms
3. 使用ExecutorType.BATCH
基本原理是SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH, false);,设置BATCH方式的sqlSession
有三种设置方式:
3.1 在mybatis的config文件中设置
SqlSessionFactoryBean中可以配置配置文件:
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean"> <property name="dataSource" ref="oracleDataSource" /> <property name="configLocation" value="classpath:mybatis/config/mybatis-config-06.xml"/> </bean>
这个mybatis配置文件中,设置BATCH方式:
<configuration> <settings> <!-- 默认打开BATCH的Executor --> <setting name="defaultExecutorType" value="BATCH" /> </settings> <mappers> <mapper class="com.ws.experiment.spring.mybatis.mapper.StudentMapper06" /> </mappers> </configuration>
这样,默认打开的sqlSession就都是BATCH方式的。再与spring的事务结合(参看上一节中的spring事务设置),就可以实现批量插入。
测试结果:
batchInsert001插入10笔数据耗时: 565 ms
batchInsert001插入50笔数据耗时: 117 ms
batchInsert001插入100笔数据耗时: 98 ms
batchInsert001插入200笔数据耗时: 106 ms
batchInsert001插入500笔数据耗时: 145 ms
batchInsert001插入1000笔数据耗时: 132 ms
batchInsert001插入2000笔数据耗时: 154 ms
batchInsert001插入3000笔数据耗时: 163 ms
batchInsert001插入5000笔数据耗时: 200 ms
batchInsert001插入8000笔数据耗时: 250 ms
3.2 自己创建sqlSession,手工commit
SqlSessionFactory sqlSessionFactory = (SqlSessionFactory)context.getBean("sqlSessionFactory"); SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH, false); StudentMapper06 studentMapper = sqlSession.getMapper(StudentMapper06.class); for (int i = 0; i < count; i++) { Student st = new Student(); st.setName("name"); ... studentMapper.insertStudent(st); } sqlSession.commit(); sqlSession.clearCache(); sqlSession.close();
测试结果:
batchInsert002插入10笔数据耗时: 568 ms
batchInsert002插入50笔数据耗时: 157 ms
batchInsert002插入100笔数据耗时: 132 ms
batchInsert002插入200笔数据耗时: 135 ms
batchInsert002插入500笔数据耗时: 148 ms
batchInsert002插入1000笔数据耗时: 139 ms
batchInsert002插入2000笔数据耗时: 151 ms
batchInsert002插入3000笔数据耗时: 139 ms
batchInsert002插入5000笔数据耗时: 207 ms
batchInsert002插入8000笔数据耗时: 299 ms
3.3 使用sqlSessionTemplate在XML文件中创建bean
创建一个SqlSessionTemplate,然后注入到MapperFactoryBean中,生成对应的mapper:
<!-- 以ExecutorType.BATCH方式插入数据库 --> <bean id="batchSqlSessionTemplate" class="org.mybatis.spring.SqlSessionTemplate"> <constructor-arg name="sqlSessionFactory" ref="sqlSessionFactory" /> <constructor-arg name="executorType" value="BATCH" /> </bean> <bean id="studentMapper06_batch" class="org.mybatis.spring.mapper.MapperFactoryBean"> <property name="mapperInterface" value="com.ws.experiment.spring.mybatis.mapper.StudentMapper06" /> <property name="sqlSessionTemplate" ref="batchSqlSessionTemplate" /> </bean> <bean id="studentDao06_batch" class="com.ws.experiment.spring.mybatis.dao.StudentDao06"> <property name="studentMapper" ref="studentMapper06_batch" /> </bean>
与spring的事务结合后(参看上一节中的spring事务设置),就可以实现批量插入
测试结果
batchInsert003插入10笔数据耗时: 651 ms
batchInsert003插入50笔数据耗时: 133 ms
batchInsert003插入100笔数据耗时: 124 ms
batchInsert003插入200笔数据耗时: 129 ms
batchInsert003插入500笔数据耗时: 144 ms
batchInsert003插入1000笔数据耗时: 179 ms
batchInsert003插入2000笔数据耗时: 229 ms
batchInsert003插入3000笔数据耗时: 241 ms
batchInsert003插入5000笔数据耗时: 216 ms
batchInsert003插入8000笔数据耗时: 259 ms
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