- Login Data Table:
- Columns: “key” and “person name”
- Example rows:
- “key”: “[rpa,UiPath]”, “person name”: “john” (John has access to both RPA and UiPath)
- “key”: “UiPath”, “person name”: “rsj” (RSJ has access only to UiPath)
- “key”: “rpa”, “person name”: “loki” (Loki has access only to RPA)
- Jobs Data Table:
- Columns: “key” and “job name”
- Example rows:
- “key”: “rpa”, “job name”: “accenture” (A job related to RPA at Accenture)
- “key”: “UiPath”, “job name”: “tcs” (A job related to UiPath at TCS)
- “key”: “datascience”, “job name”: “tcs” (A job related to Data Science at TCS)
You need to filter the jobs data table based on the keys associated with each person in the login data table. For example:
- For “john”, you need to filter jobs containing “RPA” and “UiPath” keys.
- For “rsj”, you need to filter jobs containing only “UiPath” key.
- For “loki”, you need to filter jobs containing only “RPA” key.
You want to implement this filtering process in UiPath.and for each login filter job