流程数据用视图统计
如下图一个办公用品申请流程http://www.o2oa.net:20020/x_file_assemble_control/jaxrs/file/dab20375-c5f9-4066-a159-63a3abd239d1/download/stream
在用视图统计时只能统计到流程的中的一行数据
http://www.o2oa.net:20020/x_file_assemble_control/jaxrs/file/f07ff401-79f1-4b74-973f-40af0f923ff7/download/stream
视图是列是如下配置的 对应的流程表单的字段标识的
http://www.o2oa.net:20020/x_file_assemble_control/jaxrs/file/1f6de0f5-d484-45c2-a364-382f66a07ca0/download/stream
请问下该怎样配置才能正确统计 如果我要统计一个时间段内所有走这个流程,申请的物品 每个的物品的数量 该如何做 您好:您是问数据网格的数据,视图中展现吗!
数据网格的数据无法视图直接展现明细! 您可以获得合计的数据
http://bbs.o2oa.net/data:image/png;base64,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 建议您将数据网格的数据调用接口保存到cms中的数据类中。
然后使用视图进行筛选! 那如何统计我这个流程中的数据也其实我要的是每样的汇总 可否在具体说明点或者贴几行简单的代码? 您好:
您可以参考信息发布流程,这个就是将数据发布成内容管理的。(代码在官网的体验中心均可以找到)
只是一个取得是普通字段,您可以取数据网格字段,这个需要您自行改一下!
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