Hi,
I was to combine 2 fields into 1 and have all the other fields mapped to it as well as adding a column to identify the Type - example below:
Input:
| Dependent | Enabler | Owner | Dependent ID | Enabler ID | Request ID |
| A | Z | Tim | 1 | 13 | 100 |
| B | Y | Harry | 2 | 10 | 250 |
| B | X | Hope | 2 | 26 | 200 |
| C | Z | John | 3 | 13 | 400 |
| D | W | Angela | 4 | 24 | 570 |
Desired Output:
| Request ID | ID | Project | Type | Owner | Relationship |
| 100 | 1 | A | Dependent | Tim | A dependent on Z |
| 250 | 2 | B | Dependent | Harry | B dependent on Y |
| 200 | 2 | B | Dependent | Hope | B dependent on X |
| 400 | 3 | C | Dependent | John | C dependent on Z |
| 570 | 4 | D | Dependent | Angela | D dependent on W |
| 100 | 13 | Z | Enabler | Tim | A dependent on Z |
| 400 | 13 | Z | Enabler | John | C dependent on Z |
| 250 | 10 | Y | Enabler | Harry | B dependent on Y |
| 200 | 26 | X | Enabler | Hope | B dependent on X |
| 570 | 24 | W | Enabler | Angela | D dependent on W |
Thanks!
Solved! Go to Solution.
Had a quick go.
Used a formula tool to create a relationship field and a couple of fixed values for the types.
You can then use a couple of select tools to create two sets one of Dependents and one of Enablers
Finally use a union tool to join them back together.
There are lots of ways to do this one but this way felt the simplest.
Thank you so much - the solution is simple and effective! ![]()
Sorry - just one question about the solution: the formula for the relationship field seems to cut off some of the text when I use it on my real dataset, is there a character limit to this?
Thanks.
