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先贴一下错误截图
org.springframework.web.util.NestedServletException: Handler dispatch failed; nested exception is java.lang.OutOfMemoryError: Java heap space
at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:1006)
at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:925)
at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java:978)
at org.springframework.web.servlet.FrameworkServlet.doPost(FrameworkServlet.java:881)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:661)
at org.springframework.web.servlet.FrameworkServlet.service(FrameworkServlet.java:855)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:742)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:231)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.apache.tomcat.websocket.server.WsFilter.doFilter(WsFilter.java:52)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at com.num.context.SessionFilter.toLogin(SessionFilter.java:164)
at com.num.context.SessionFilter.doFilterInternal(SessionFilter.java:72)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.RequestContextFilter.doFilterInternal(RequestContextFilter.java:99)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.HttpPutFormContentFilter.doFilterInternal(HttpPutFormContentFilter.java:109)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.HiddenHttpMethodFilter.doFilterInternal(HiddenHttpMethodFilter.java:81)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.boot.web.servlet.support.ErrorPageFilter.doFilter(ErrorPageFilter.java:115)
at org.springframework.boot.web.servlet.support.ErrorPageFilter.access$000(ErrorPageFilter.java:59)
at org.springframework.boot.web.servlet.support.ErrorPageFilter$1.doFilterInternal(ErrorPageFilter.java:90)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.springframework.boot.web.servlet.support.ErrorPageFilter.doFilter(ErrorPageFilter.java:108)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.CharacterEncodingFilter.doFilterInternal(CharacterEncodingFilter.java:200)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:199)
at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:96)
at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:493)
at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:137)
at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:81)
at org.apache.catalina.valves.AbstractAccessLogValve.invoke(AbstractAccessLogValve.java:660)
at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:87)
at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:343)
at org.apache.coyote.http11.Http11Processor.service(Http11Processor.java:798)
at org.apache.coyote.AbstractProcessorLight.process(AbstractProcessorLight.java:66)
at org.apache.coyote.AbstractProtocol$ConnectionHandler.process(AbstractProtocol.java:806)
at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.doRun(NioEndpoint.java:1498)
at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at org.apache.tomcat.util.threads.TaskThread$WrappingRunnable.run(TaskThread.java:61)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.OutOfMemoryError: Java heap space
at org.apache.ibatis.reflection.MetaObject.getValue(MetaObject.java:113)
at org.apache.ibatis.reflection.MetaObject.metaObjectForProperty(MetaObject.java:145)
at org.apache.ibatis.reflection.wrapper.MapWrapper.hasGetter(MapWrapper.java:122)
at org.apache.ibatis.reflection.MetaObject.hasGetter(MetaObject.java:109)
at org.apache.ibatis.builder.SqlSourceBuilder$ParameterMappingTokenHandler.buildParameterMapping(SqlSourceBuilder.java:75)
at org.apache.ibatis.builder.SqlSourceBuilder$ParameterMappingTokenHandler.handleToken(SqlSourceBuilder.java:67)
at org.apache.ibatis.parsing.GenericTokenParser.parse(GenericTokenParser.java:78)
at org.apache.ibatis.builder.SqlSourceBuilder.parse(SqlSourceBuilder.java:45)
at org.apache.ibatis.scripting.xmltags.DynamicSqlSource.getBoundSql(DynamicSqlSource.java:44)
at org.apache.ibatis.mapping.MappedStatement.getBoundSql(MappedStatement.java:292)
at org.apache.ibatis.executor.statement.BaseStatementHandler.(BaseStatementHandler.java:64)
at org.apache.ibatis.executor.statement.PreparedStatementHandler.(PreparedStatementHandler.java:40)
at org.apache.ibatis.executor.statement.RoutingStatementHandler.(RoutingStatementHandler.java:46)
at org.apache.ibatis.session.Configuration.newStatementHandler(Configuration.java:545)
at org.apache.ibatis.executor.SimpleExecutor.doUpdate(SimpleExecutor.java:48)
at org.apache.ibatis.executor.BaseExecutor.update(BaseExecutor.java:117)
at org.apache.ibatis.executor.CachingExecutor.update(CachingExecutor.java:76)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.ibatis.plugin.Plugin.invoke(Plugin.java:63)
at com.sun.proxy.$Proxy107.update(Unknown Source)
at org.apache.ibatis.session.defaults.DefaultSqlSession.update(DefaultSqlSession.java:198)
at org.apache.ibatis.session.defaults.DefaultSqlSession.insert(DefaultSqlSession.java:185)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.mybatis.spring.SqlSessionTemplate$SqlSessionInterceptor.invoke(SqlSessionTemplate.java:433)
at com.sun.proxy.$Proxy75.insert(Unknown Source)
at org.mybatis.spring.SqlSessionTemplate.insert(SqlSessionTemplate.java:278)
错误如上图，发生原因是因为服务器内存过下，而批量插入的数据量较大导致的。
主要代码如下
@Override
@Transactional
public Map intoDatabases(InputStream inputStream, UserSession session) throws IOException {
Map map = new HashMap();
try {
HSSFWorkbook workbook = new HSSFWorkbook(inputStream);//接收到的报表对象
inputStream.close();
HSSFSheet sheet = workbook.getSheetAt(0);
workbook.cloneSheet(0);
//获得当前sheet的结束行
int lastRowNum = sheet.getLastRowNum();
// System.out.println(lastRowNum);
String batch = DateUtils.getBatch();//批次
Map cityNumber = new HashMap();
Map areaMap = new HashMap();
List numbers = new ArrayList();
int nums = 0;
for (int i = 1; i <= lastRowNum; i++) {
HSSFRow row = sheet.getRow(i);
Number number = new Number();
// String city = getStringCellValue(row.getCell(1));//省份
String city = getStringCellValue(row.getCell(2));//城市
// System.out.println(city+"---------"+i);
map.put("areaName", city);
map.put("level", 2);
String areaId = areaMapper.findByAreaName(map).getAreaId() + "";
number.setCityId(areaId);//号码归属地城市
number.setCity(city);//号码归属地城市
//存储城市id以及城市name
areaMap.put(areaId, city);
// System.out.println(getStringCellValue(row.getCell(1))+"------------------------"+i);
number.setSource(getStringCellValue(row.getCell(0)));//号码来源
number.setNumber(getStringCellValue(row.getCell(3)));//号码
number.setAreaCode(getStringCellValue(row.getCell(4)));//区号
number.setImsi(getStringCellValue(row.getCell(5)));//IMSI
number.setSmsc(getStringCellValue(row.getCell(6)));//短信中心
// number.setRemarks(getStringCellValue(row.getCell(5)));//备注
number.setBatch(batch);//批次
number.setIsSign("1");//标记
number.setBalance("0");//余额
number.setStatus("0");//状态空闲
numbers.add(number);
// numberMapper.insert(number);
//存储城市号码总数量
if (cityNumber.containsKey(areaId)) {
cityNumber.put(areaId, cityNumber.get(areaId) + 1);
} else {
cityNumber.put(areaId, 1);
}
}
//存储所有的号码
int batchCount = 3000; //每批插入数目
int batchLastIndex = batchCount;
List shareList = new ArrayList<>();
for (int index = 0; index < numbers.size(); ) {
if (batchLastIndex >= numbers.size()) {
batchLastIndex = numbers.size();
shareList = numbers.subList(index, batchLastIndex);
break;
} else {
shareList = numbers.subList(index, batchLastIndex);
index = batchLastIndex;// 设置下一批下标
batchLastIndex = index + (batchCount - 1);
}
numberMapper.batchInsert(shareList);
}
numberMapper.batchInsert(shareList);
// numberMapper.batchInsert(numbers);
//插入记录表
List list = new ArrayList();
for (String key : cityNumber.keySet()) {
ImportRecord importRecord = new ImportRecord();
importRecord.setBatch(batch);//批次
importRecord.setCityId(key);//城市id
importRecord.setCityName(areaMap.get(key));//城市名称
importRecord.setCount(cityNumber.get(key));//总数量
importRecord.setAdminId(session.getAdminId());//导入人
importRecord.setAdminName(session.getAdminName());//管理员名称
list.add(importRecord);
}
importRecordMapper.batchInsert(list);
//插入申请记录表type=5，员工导入号码
ApplyRecord applyRecord = new ApplyRecord();
applyRecord.setApplicant(session.getAdminId());//申请人
applyRecord.setCreateTime(new Date());//申请时间
applyRecord.setNum(numbers.size());//退订数量
applyRecord.setStatus("1");//状态
applyRecord.setBatch(batch);//批次
applyRecord.setType(5);
applyRecordMapper.insert(applyRecord);
map.clear();
map.put("message", "操作成功");
map.put("status", "success");
map.put("icon", "6");
} catch (Exception e) {
map.put("message", "操作失败");
map.put("status", "error");
map.put("icon", "5");
e.printStackTrace();
throw e;
} finally {
inputStream.close();
}
return map;
}
INSERT INTO num_number
(number, segment, ascription, balance, status, begin_time, end_time,
city_id,city, is_sign, area_code, business,imsi, smsc, batch, remarks)
VALUES
(#{number.number}, #{number.segment}, #{number.ascription}, #{number.balance},
#{number.status}, #{number.beginTime}, #{number.endTime},#{number.cityId},
#{number.city}, #{number.isSign}, #{number.areaCode},#{number.business},
#{number.imsi}, #{number.smsc}, #{number.batch}, #{number.remarks})
数据量大概有八万条多一点，本地测试正常，发布线上报错内存溢出。
解决方案
把list做拆分处理，分批执行批量插入的操作
java拆分list代码如下
public static void main(String[] args) {
//list 为全量集合
List list = new ArrayList<>();
for (int i=0; i<96; i++){
list.add(i+"");
}
int batchCount = 15; //每批插入数目
int batchLastIndex = batchCount;
List shareList = new ArrayList<>();
for (int index = 0; index < list.size(); ) {
if (batchLastIndex >= list.size()) {
batchLastIndex = list.size();
shareList = list.subList(index, batchLastIndex);
break;
} else {
shareList = list.subList(index, batchLastIndex);
index = batchLastIndex;// 设置下一批下标
batchLastIndex = index + (batchCount - 1);
}
System.out.println("-------------------------"+index);
for(int i=0; i此处不讨论其他问题，只讨论当服务器性能不足时，mybaits批量带来的内存溢出问题。
到此，关于“mybaits缓存导致的内存溢出java.lang.OutOfMemoryError: Java heap space怎么解决”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注创新互联网站，小编会继续努力为大家带来更多实用的文章！
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