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farfir(uid:66844)
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  • 在云服务器上已经将报表服务器部署成功了,通过http://localhost:8080/WebReport/ReportServer,已经可以看到数据决策系统了。但是不明白在外网如何访问到这个数据决策系统?云服务器是有固定公网IP的,是将固定公网IP替换localhost么?我试过了,连接不上。
  • Oops!!!非常抱歉,您当前无法访问此页。发生的问题是: inited failed! 详细信息 java.lang.RuntimeException: inited failed! at com.fr.fs.control.CompanyRoleControl.getDepartmentAllID(Unknown Source) at com.fr.fs.FSConfig.getFSParaMap(Unknown Source) at com.fr.fs.web.service.FSOpenEntryService.init(Unknown Source) at com.fr.fs.web.service.FSOpenEntryService.process(Unknown Source) at com.fr.stable.fun.impl.NoSessionIDService.process(Unknown Source) at com.fr.web.core.ReportDispatcher.dealWithOp(Unknown Source) at com.fr.web.core.ReportDispatcher.dealWeblet(Unknown Source) at com.fr.web.core.ReportDispatcher.dealWithRequest(Unknown Source) at com.fr.web.BaseServlet.doGet(Unknown Source) at javax.servlet.http.HttpServlet.service(HttpServlet.java:622) at javax.servlet.http.HttpServlet.service(HttpServlet.java:729) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:292) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:207) at org.apache.tomcat.websocket.server.WsFilter.doFilter(WsFilter.java:52) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:240) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:207) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:212) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:106) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:502) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:141) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:79) at org.apache.catalina.valves.AbstractAccessLogValve.invoke(AbstractAccessLogValve.java:616) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:88) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:522) at org.apache.coyote.http11.AbstractHttp11Processor.process(AbstractHttp11Processor.java:1095) at org.apache.coyote.AbstractProtocol$AbstractConnectionHandler.process(AbstractProtocol.java:672) at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.doRun(NioEndpoint.java:1502) at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.run(NioEndpoint.java:1458) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at org.apache.tomcat.util.threads.TaskThread$WrappingRunnable.run(TaskThread.java:61) at java.lang.Thread.run(Unknown Source)
  • 此前我在使用的时候,也发现下拉框中有快速查询功能,就是说比如下拉框中有30个选择数据,我只要输入一个“章“字,就能筛选出带有这个字的三四个选项,以提供方便的选择。但是这次我做的表格,这个功能莫名其妙地消失了。成了这样:data:image/png;base64,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任何提示信息都不出现了。 我不知道是为什么,难道是因为我的选择项数超过500项了?是不是超过500项快速查询功能就没了?
  • 选择了一个数据表,在这个数据表中,第一列中的数据中,002这种标记的数据行我不想要。只想要001,003之类的。如果是读取后在表格中过滤,我会做,直接选择过滤条件是不包括002就行了。可是由于数据表比较大,我想在读取数据的时候就过滤掉,因此我在数据表后面写:select * from `ajxxb` where wofangwh='${我方案号}' ,然后在给我方案号定值的时候,数据表选择这个界面上,没有包括,大于,开头是之类的文字了,我该如何写公式,才能过滤掉002这些行的数据呢?
  • 想用帆软报表发短信,看坛子里的人说,能对接短信接口,但我不会怎么做。阿里大鱼的说明是这样的: 应用开发 1、根据开发语言选择板本生成对应SDK,(控制台-SDK下载,请获取权限后再生成SDK)(大概需3分钟),支持JAVA、PHP、Python、 .NET、 Metadata、 nodejs 2、 下载sdk,将SDK导入您的应用开发工程 3、 在taobao-sdk-java-aoto-source下根据以下路径,找到相应接口文件 java 板本文件夹目录 .NET板本文件夹目录 PHP板本文件夹目录 Python板本文件夹目录 4、在API文档中查看调用示例与传参规则 别的什么也没说,看不懂怎么做。我下载了一个java的SDK包,然后怎么办?比如说:1)首先,我要把SDK包中的java文件导入什么地方?怎么导入?是直接存放么?2)然后干什么,是新建一个工作簿么?在工作簿中选择一个单元格?设置单元格的控件属性?3)实际上完全不知道该干什么,能否请大神给我科普一下,这件事大概应该怎么做?
  • 我遇到一个比较棘手的问题,就是我做了一个饼图,饼图中的数据调用的是数据库中的数据。因为我不会使用单元格中的数据。数据库中有个栏目包含两个值,一个是01,一个是02,其中01代表有效,02代表无效。我的饼图中想要显示有效和无效各占多少比例。难过的是出来的比例就写01和02,没人明白什么意思啊!我如何才能将01改成“有效“二字,而把02改成”无效“二字啊,真难过。 我在图表的选项中找不到条件属性。表的条件属性就能赋予新值,而我现在不知道该怎么办,或者谁会写公式,教教我怎么写公式也行。感谢。
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首先,我的填报属性是这样设置的。其中wofangwh是主键。 然后开始填报,填报的时候,每次可能只填报下面的一两项,例如第一次,只填报dijiaogao的D6。那么这时候,填出来可能就是这样的: data:image/png;base64,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 而等到下一次,可能只填报shouli中的D7。而这时候,D6中的内容,也就是docx就不见了。因为这次没填写D6,这一栏就被更新为空了。其实我希望是每次填写,不改变上次填写的内容?有办法么?
  • 在插入行策略中,有个原值,就是说可以把原行中的公式挪下来。但是我现在不是这样的问题,我是希望插入行中的公式随着行变化。举例来说:原行为第6行,其中D6处的公式为filename(B6),而插入行后,就不好用了。我想是不是需要公式变成filename(B7),可是如何才能自动变呢? 比如下图这样,第一行能回填出文件名,插入行就不行了。 报表设计器这样 data:image/png;base64,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 数据分析系统这样 data:image/png;base64,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
  • 感谢上次yets 11 教我的引号的用法,我想我是明白了。但是,这次我把文件类型展示在当前单元格上了,可还是不能下载文件。我试验过,如果不写文件类型前面的小点,是不能下载的,因此把公式写成这样了 "D:/patent/"+A3+"/"+A3+'-'+'第一次补正'+'-'+B3+'.'+$$$ 其中$$$中的数值是JPG,也就是回填回来的文件格式。 不知道这回又错在什么地方了。
  • 我在上传文件的时候,给文件名做了定义,定义为:A3+'-'+A5+'-'+C3。例如如果A3=CN;A5=BJ;C3=HAO。那么即使我上传的文件名原本为123456.doc,最后在服务器上也会自动生成为CN-BJ-HAO.doc。 感谢昨天yets 11 教我下载的时候,可以把动态路径设置为:"D:/patent/"+A3+"/递交稿.docx",那我还想问我怎么设置动态文件名呢?我写的是这样的:"D:/patent/"+A3+"/+A3+'-'+A5+'-'+C3+'.docx'" 结果不行,请问应该怎么改? 还有,后缀如果不能确定,是否也能动态生成?我知道上传文件的时候,可以返回文件类型这个参数,但是如何把这个参数写入下载的公式呢?不会了。 万分感谢。

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