mybaits缓存导致的内存溢出java.lang.OutOfMemoryError:Javaheapspace怎么解决
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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 MapintoDatabases(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 Listlist = 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。
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