一、前言
前两天做了一个导入的功能,导入开始的时候非常慢,导入2w条数据要1分多钟,后来一点一点的优化,从直接把list怼进Mysql中,到分配把list导入Mysql中,到多线程把list导入Mysql中。时间是一点一点的变少了。非常的爽,最后变成了10s以内。下面就展示一下过程。
二、直接把list怼进Mysql
使用mybatis的批量导入操作:
@Transactional(rollbackFor = Exception.class)public int addFreshStudentsNew2(List<FreshStudentAndStudentModel> list, String schoolNo) {if (list == null || list.isEmpty()) {return 0;}List<StudentEntity> studentEntityList = new LinkedList<>();List<EnrollStudentEntity> enrollStudentEntityList = new LinkedList<>();List<AllusersEntity> allusersEntityList = new LinkedList<>();for (FreshStudentAndStudentModel freshStudentAndStudentModel : list) {EnrollStudentEntity enrollStudentEntity = new EnrollStudentEntity();StudentEntity studentEntity = new StudentEntity();BeanUtils.copyProperties(freshStudentAndStudentModel, studentEntity);BeanUtils.copyProperties(freshStudentAndStudentModel, enrollStudentEntity);String operator = TenancyContext.UserID.get();String studentId = BaseUuidUtils.base58Uuid();enrollStudentEntity.setId(BaseUuidUtils.base58Uuid());enrollStudentEntity.setStudentId(studentId);enrollStudentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());enrollStudentEntity.setOperator(operator);studentEntity.setId(studentId);studentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());studentEntity.setOperator(operator);studentEntityList.add(studentEntity);enrollStudentEntityList.add(enrollStudentEntity);AllusersEntity allusersEntity = new AllusersEntity();allusersEntity.setId(enrollStudentEntity.getId());allusersEntity.setUserCode(enrollStudentEntity.getNemtCode());allusersEntity.setUserName(enrollStudentEntity.getName());allusersEntity.setSchoolNo(schoolNo);allusersEntity.setTelNum(enrollStudentEntity.getTelNum());allusersEntity.setPassword(enrollStudentEntity.getNemtCode()); //密码设置为考生号allusersEntityList.add(allusersEntity);}enResult = enrollStudentDao.insertAll(enrollStudentEntityList);stuResult = studentDao.insertAll(studentEntityList);allResult = allusersFacade.insertUserList(allusersEntityList);if (enResult > 0 && stuResult > 0 && allResult) {return 10;}return -10;}
Mapper.xml
<insert id="insertAll" parameterType="com.dmsdbj.itoo.basicInfo.entity.EnrollStudentEntity">insert into tb_enroll_student<trim prefix="(" suffix=")" suffixOverrides=",">id,remark,nEMT_aspiration,nEMT_code,nEMT_score,student_id,identity_card_id,level,major,name,nation,secondary_college,operator,sex,is_delete,account_address,native_place,original_place,used_name,pictrue,join_party_date,political_status,tel_num,is_registry,graduate_school,create_time,update_time </trim>values<foreach collection="list" item="item" index="index" separator=",">(#{item.id,jdbcType=VARCHAR},#{item.remark,jdbcType=VARCHAR},#{item.nemtAspiration,jdbcType=VARCHAR},#{item.nemtCode,jdbcType=VARCHAR},#{item.nemtScore,jdbcType=VARCHAR},#{item.studentId,jdbcType=VARCHAR},#{item.identityCardId,jdbcType=VARCHAR},#{item.level,jdbcType=VARCHAR},#{item.major,jdbcType=VARCHAR},#{item.name,jdbcType=VARCHAR},#{item.nation,jdbcType=VARCHAR},#{item.secondaryCollege,jdbcType=VARCHAR},#{item.operator,jdbcType=VARCHAR},#{item.sex,jdbcType=VARCHAR},0,#{item.accountAddress,jdbcType=VARCHAR},#{item.nativePlace,jdbcType=VARCHAR},#{item.originalPlace,jdbcType=VARCHAR},#{item.usedName,jdbcType=VARCHAR},#{item.pictrue,jdbcType=VARCHAR},#{item.joinPartyDate,jdbcType=VARCHAR},#{item.politicalStatus,jdbcType=VARCHAR},#{item.telNum,jdbcType=VARCHAR},#{item.isRegistry,jdbcType=TINYINT},#{item.graduateSchool,jdbcType=VARCHAR},now(),now())</foreach></insert>
代码说明:
底层的mapper是通过逆向工程来生成的,批量插入如下,是拼接成类似:insert into tb_enroll_student()values (),()…….();
这样的缺点是,数据库一般有一个默认的设置,就是每次sql操作的数据不能超过4M。这样插入,数据多的时候,数据库会报错Packet for query is too large (6071393 > 4194304). You can change this value on the server by setting the max_allowed_packet’ variable.,虽然我们可以通过
类似 修改 my.ini 加上 max_allowed_packet =67108864,67108864=64M,默认大小4194304 也就是4M
修改完成之后要重启mysql服务,如果通过命令行修改就不用重启mysql服务。
完成本次操作,但是我们不能保证项目单次最大的大小是多少,这样是有弊端的。所以可以考虑进行分组导入。
三、分组把list导入Mysql中
同样适用mybatis批量插入,区别是对每次的导入进行分组计算,然后分多次进行导入:
@Transactional(rollbackFor = Exception.class)public int addFreshStudentsNew2(List<FreshStudentAndStudentModel> list, String schoolNo) {if (list == null || list.isEmpty()) {return 0;}List<StudentEntity> studentEntityList = new LinkedList<>();List<EnrollStudentEntity> enrollStudentEntityList = new LinkedList<>();List<AllusersEntity> allusersEntityList = new LinkedList<>();for (FreshStudentAndStudentModel freshStudentAndStudentModel : list) {EnrollStudentEntity enrollStudentEntity = new EnrollStudentEntity();StudentEntity studentEntity = new StudentEntity();BeanUtils.copyProperties(freshStudentAndStudentModel, studentEntity);BeanUtils.copyProperties(freshStudentAndStudentModel, enrollStudentEntity);String operator = TenancyContext.UserID.get();String studentId = BaseUuidUtils.base58Uuid();enrollStudentEntity.setId(BaseUuidUtils.base58Uuid());enrollStudentEntity.setStudentId(studentId);enrollStudentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());enrollStudentEntity.setOperator(operator);studentEntity.setId(studentId);studentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());studentEntity.setOperator(operator);studentEntityList.add(studentEntity);enrollStudentEntityList.add(enrollStudentEntity);AllusersEntity allusersEntity = new AllusersEntity();allusersEntity.setId(enrollStudentEntity.getId());allusersEntity.setUserCode(enrollStudentEntity.getNemtCode());allusersEntity.setUserName(enrollStudentEntity.getName());allusersEntity.setSchoolNo(schoolNo);allusersEntity.setTelNum(enrollStudentEntity.getTelNum());allusersEntity.setPassword(enrollStudentEntity.getNemtCode()); //密码设置为考生号allusersEntityList.add(allusersEntity);}int c = 100;int b = enrollStudentEntityList.size() / c;int d = enrollStudentEntityList.size() % c;int enResult = 0;int stuResult = 0;boolean allResult = false;for (int e = c; e <= c * b; e = e + c) {enResult = enrollStudentDao.insertAll(enrollStudentEntityList.subList(e - c, e));stuResult = studentDao.insertAll(studentEntityList.subList(e - c, e));allResult = allusersFacade.insertUserList(allusersEntityList.subList(e - c, e));}if (d != 0) {enResult = enrollStudentDao.insertAll(enrollStudentEntityList.subList(c * b, enrollStudentEntityList.size()));stuResult = studentDao.insertAll(studentEntityList.subList(c * b, studentEntityList.size()));allResult = allusersFacade.insertUserList(allusersEntityList.subList(c * b, allusersEntityList.size()));}if (enResult > 0 && stuResult > 0 && allResult) {return 10;}return -10;}
代码说明:
这样操作,可以避免上面的错误,但是分多次插入,无形中就增加了操作实践,很容易超时。所以这种方法还是不值得提倡的。
再次改进,使用多线程分批导入。
四、多线程分批导入Mysql
依然使用mybatis的批量导入,不同的是,根据线程数目进行分组,然后再建立多线程池,进行导入。
@Transactional(rollbackFor = Exception.class)public int addFreshStudentsNew(List<FreshStudentAndStudentModel> list, String schoolNo) {if (list == null || list.isEmpty()) {return 0;}List<StudentEntity> studentEntityList = new LinkedList<>();List<EnrollStudentEntity> enrollStudentEntityList = new LinkedList<>();List<AllusersEntity> allusersEntityList = new LinkedList<>();list.forEach(freshStudentAndStudentModel -> {EnrollStudentEntity enrollStudentEntity = new EnrollStudentEntity();StudentEntity studentEntity = new StudentEntity();BeanUtils.copyProperties(freshStudentAndStudentModel, studentEntity);BeanUtils.copyProperties(freshStudentAndStudentModel, enrollStudentEntity);String operator = TenancyContext.UserID.get();String studentId = BaseUuidUtils.base58Uuid();enrollStudentEntity.setId(BaseUuidUtils.base58Uuid());enrollStudentEntity.setStudentId(studentId);enrollStudentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());enrollStudentEntity.setOperator(operator);studentEntity.setId(studentId);studentEntity.setIdentityCardId(freshStudentAndStudentModel.getIdCard());studentEntity.setOperator(operator);studentEntityList.add(studentEntity);enrollStudentEntityList.add(enrollStudentEntity);AllusersEntity allusersEntity = new AllusersEntity();allusersEntity.setId(enrollStudentEntity.getId());allusersEntity.setUserCode(enrollStudentEntity.getNemtCode());allusersEntity.setUserName(enrollStudentEntity.getName());allusersEntity.setSchoolNo(schoolNo);allusersEntity.setTelNum(enrollStudentEntity.getTelNum());allusersEntity.setPassword(enrollStudentEntity.getNemtCode()); //密码设置为考生号allusersEntityList.add(allusersEntity);});int nThreads = 50;int size = enrollStudentEntityList.size();ExecutorService executorService = Executors.newFixedThreadPool(nThreads);List<Future<Integer>> futures = new ArrayList<Future<Integer>>(nThreads);for (int i = 0; i < nThreads; i++) {final List<EnrollStudentEntity> EnrollStudentEntityImputList = enrollStudentEntityList.subList(size / nThreads * i, size / nThreads * (i + 1));final List<StudentEntity> studentEntityImportList = studentEntityList.subList(size / nThreads * i, size / nThreads * (i + 1));final List<AllusersEntity> allusersEntityImportList = allusersEntityList.subList(size / nThreads * i, size / nThreads * (i + 1));Callable<Integer> task1 = () -> {studentSave.saveStudent(EnrollStudentEntityImputList,studentEntityImportList,allusersEntityImportList);return 1;};futures.add(executorService.submit(task1));}executorService.shutdown();if (!futures.isEmpty() && futures != null) {return 10;}return -10;}
代码说明:
上面是通过应用ExecutorService 建立了固定的线程数,然后根据线程数目进行分组,批量依次导入。一方面可以缓解数据库的压力,另一个面线程数目多了,一定程度会提高程序运行的时间。缺点就是要看服务器的配置,如果配置好的话就可以开多点线程,配置差的话就开小点。
