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白水先生(uid:62427)
职业资格认证:FCA-FineReport | FCA-FineBI | FCA-业务分析理论
  • 泛微的密码本身是MD5加密的。帆软用户同步泛微的密码,会把MD5,加一层sha256。现在需求是,帆软能同步OA的密码,我既要这个密码可以直接在帆软登录界面,自行登录,又希望OA里面有个超链接,可以直接登录到帆软决策平台。目前的现象是,我如果想直接通过决策平台登录,我非要把泛微MD5加密后的密码粘贴到登录里,才能登录。各位有什么要的思路?
  • 有个需求,单元格设置公式IF(AND(B5 > 0, C5 > 0), B5 / C5, B5 - C5) 如果 B5 > 0, C5 > 0 单元格显示 B5 / C5 但是格式是百分比模式 否则 取B5 - C5 但是格式要数值模式。。。 有个思路么?我只能想到拼接字符,强行拼一个 % 上去,问各位大神有不有好方法
  • 原始需求是这样的,我有一个多数据源查询关联的表,基础表的数据结果集可能只有5000多条,但是页面对其他数据源的数据有很多关联性的过滤,会导致很卡,可能7,8分钟才能出结果。 因为这个原因,我做了自定义分页,几十秒就能出来。 现在问题是: 1.excel导出只能导出当前页,能否自定义,excel导出,导出全部? 2.能否直接导出,不展示数据,直接导出excel?
  • 我有个需求,展示结果是从多个数据源取得在帆软设计界面匹配的,这中间过滤了很多行不展示,设置的行高为0 在最后取合计数的时候,直接写SUM(某单元格),这样会把隐藏的值也取进去。 问问大家有什么好的处理办法?
  • 本帖最后由 白水先生 于 2016-12-1 20:28 编辑 简单介绍一下情况,公司的finereport与泛微的OA做了集成,帆软决策系统里的用户信息全部是从OA中同步过来的,如下图 51420 用此种方式同步的用户,是不会存储在数据库中,后面分配的角色,角色关联的报表都不会存储在数据库中,都以写文件的形式加密存在xml中,不便于备份,也怀疑数据量大了之后会造成效率问题,一旦文件损坏,我的权限就找不回了,存在极大风险。 51421 咨询下,有没有人跟我是同样的模式,有什么好的优化方法?
  • 本帖最后由 白水先生 于 2016-8-3 17:30 编辑 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 销售单价是按月统计的,sql层面如果7月没有销售数据我只能取出个空值,现在的需求是,我想7月份没有数据就取6月的销售单价放到单元格里,如果6月的没有,就找5月的销售单价,把6月,7月补成5月的销售单价,如果5月取不到就取4月的,依次类推 看大家有不有好办法,不然我又只能用存储过程加临时表了!

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