yhdata_h3WExqsQ 发表于 2024-4-23 09:08:09

一对多的数据怎么过滤?

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
比如说有这样一个表格,在这个页面有类别和区域传参组件,类别好搞;就是这个区域的该怎么弄?

传参组件区域有(南方,北方),当勾选南方时,表格只显示南方的,类推北方的也是如此。

这样一对多的数据集怎么进行过滤?

yhdata_lyaa 发表于 2024-4-23 09:08:10

试试动态绑定参数列
https://www.yonghongtech.com/real-help/Z-Suite/10.2/ch/dataprocess_dynamicbind.html?zoom_highlightsub=%E5%8F%82%E6%95%B0%E5%88%97
页: [1]
查看完整版本: 一对多的数据怎么过滤?