请上传宽度大于 1200px,高度大于 164px 的封面图片
    调整图片尺寸与位置
    滚轮可以放大缩小图片尺寸,按住图片拖动可调整位置,多余的会自动被裁剪掉
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张宇(uid:74449)
职业资格认证:FCP-FineBI | FCA-FineBI | FCA-业务分析理论 | FCP-报表开发工程师
  • 对于一个填报报表 原则只填报一次 如果再填报第二次、第三次 怎么查询某个数据的修改记录 每个月修改了几次 防止恶意修改
  • 如何实现报表定时自动打印 有多台打印机
  • Struts Problem Report Struts has detected an unhandled exception: Messages: Timeout waiting for idle object Cannot get a connection, pool error Timeout waiting for idle object FreeMarker template error! Method public java.lang.String org.hibernate.exception.NestableRuntimeException.getMessage(int) threw an exception when invoked on org.hibernate.exception.GenericJDBCException: Cannot open connection The problematic instruction: ---------- ==> ${msg} ---------- Java backtrace for programmers: ---------- freemarker.template.TemplateModelException: Method public java.lang.String org.hibernate.exception.NestableRuntimeException.getMessage(int) threw an exception when invoked on org.hibernate.exception.GenericJDBCException: Cannot open connection at freemarker.ext.beans.SimpleMethodModel.exec(SimpleMethodModel.java:130) at freemarker.ext.beans.SimpleMethodModel.get(SimpleMethodModel.java:138) at freemarker.core.DynamicKeyName.dealWithNumericalKey(DynamicKeyName.java:111) at freemarker.core.DynamicKeyName._getAsTemplateModel(DynamicKeyName.java:90) at freemarker.core.Expression.getAsTemplateModel(Expression.java:89) at freemarker.core.Expression.getStringValue(Expression.java:93) at freemarker.core.DollarVariable.accept(DollarVariable.java:76) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.MixedContent.accept(MixedContent.java:92) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.IfBlock.accept(IfBlock.java:82) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.IteratorBlock$Context.runLoop(IteratorBlock.java:179) at freemarker.core.Environment.visit(Environment.java:416) at freemarker.core.IteratorBlock.accept(IteratorBlock.java:102) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.MixedContent.accept(MixedContent.java:92) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.IfBlock.accept(IfBlock.java:82) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.MixedContent.accept(MixedContent.java:92) at freemarker.core.Environment.visit(Environment.java:209) at freemarker.core.Environment.process(Environment.java:189) at freemarker.template.Template.process(Template.java:237) at org.apache.struts2.dispatcher.Dispatcher.sendError(Dispatcher.java:748) at org.apache.struts2.dispatcher.Dispatcher.serviceAction(Dispatcher.java:505) at org.apache.struts2.dispatcher.ng.ExecuteOperations.executeAction(ExecuteOperations.java:77) at org.apache.struts2.dispatcher.ng.filter.StrutsPrepareAndExecuteFilter.doFilter(StrutsPrepareAndExecuteFilter.java:91) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.springframework.orm.jpa.support.OpenEntityManagerInViewFilter.doFilterInternal(OpenEntityManagerInViewFilter.java:112) at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:76) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at cn.lxhg.platform.filter.AdminLogonFilter.doFilter(AdminLogonFilter.java:68) at org.springframework.web.filter.DelegatingFilterProxy.invokeDelegate(DelegatingFilterProxy.java:236) at org.springframework.web.filter.DelegatingFilterProxy.doFilter(DelegatingFilterProxy.java:167) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:233) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:103) at org.apache.catalina.valves.AccessLogValve.invoke(AccessLogValve.java:615) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:293) at org.apache.coyote.http11.Http11AprProcessor.process(Http11AprProcessor.java:879) at org.apache.coyote.http11.Http11AprProtocol$Http11ConnectionHandler.process(Http11AprProtocol.java:610) at org.apache.tomcat.util.net.AprEndpoint$Worker.run(AprEndpoint.java:1777) at java.lang.Thread.run(Thread.java:662) Caused by: java.lang.NullPointerException at freemarker.ext.beans.SimpleMemberModel.unwrapArguments(SimpleMemberModel.java:85) at freemarker.ext.beans.SimpleMethodModel.exec(SimpleMethodModel.java:106) ... 49 more
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  • tomcat里的logs文件夹不产生日志了 最新的才是2016.04.13的
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
  • 一个月前也出现过 现在又溢出了 也改虚拟内存了 不管用
  • 数据决策系统 修改完一个定时任务后 再修改下一个就卡住是咋回事 2月5日之前还自动填报 之后就不填报了 监控也没出错信息
  • with t as(SELECT t.*FROM SCGL."JINEIXIANAN_SHENGCHAN" t where to_date(t.createdate,'yyyy-mm-dd')>=(select (case when(to_date('${aa}','yyyy-mm-dd')>=trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY') and to_date('${aa}','yyyy-mm-dd')<= (trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY')+28)) then trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY') when (last_day(to_date ('${aa}','yyyy-mm-dd'))-to_date('${aa}','yyyy-mm-dd')) >1 or (to_date('${aa}','yyyy-mm-dd')>=last_day(ADD_MONTHS(trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY'),11))-1 and to_date('${aa}','yyyy-mm-dd')<=last_day(ADD_MONTHS(trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY'),11))) then (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),-1))-1) else (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),0))-1) end) from dual ) -1 and to_date(t.createdate,'yyyy-mm-dd') =(last_day(ADD_MONTHS(trunc (to_date('${aa}','yyyy-mm-dd'),'YYYY'),11))-32) and to_date('${aa}','yyyy-mm-dd')<=last_day(ADD_MONTHS(trunc(to_date ('${aa}','yyyy-mm-dd'),'YYYY'),11))) then last_day(ADD_MONTHS(trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY'),11)) when (last_day(to_date('${aa}','yyyy-mm-dd'))-to_date('${aa}','yyyy- mm-dd'))>1 then (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),0))-2) else (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),1))-2) end) as lastday from dual) order by t.id ), t1 as (select rownum as rn,t.* from t) select a.* from t1 a where (case when ( to_date(a.createdate,'yyyy-mm-dd') =(select (case when (to_date('${aa}','yyyy-mm-dd')>=(last_day(ADD_MONTHS(trunc (to_date('${aa}','yyyy-mm-dd'),'YYYY'),11))-32) and to_date('${aa}','yyyy-mm-dd')<=last_day(ADD_MONTHS(trunc(to_date ('${aa}','yyyy-mm-dd'),'YYYY'),11))) then last_day(ADD_MONTHS(trunc(to_date('${aa}','yyyy-mm-dd'),'YYYY'),11)) when (last_day(to_date('${aa}','yyyy-mm-dd'))-to_date('${aa}','yyyy- mm-dd'))>1 then (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),0))-2) else (last_day(ADD_MONTHS (to_date('${aa}','yyyy-mm-dd'),1))-2) end) as lastday from dual)) then a.rn1
  • 谢谢各位

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