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What is your question?
I have tried flogo and found the split path mechanism very useful. I am talking about multiple output from a node which splits the flow into parallel paths. In this case all the paths are executed independently.
I wanted to know if there is any way to do the opposite of split, i.e, join. Basically I want to join multiple independent paths to one path before proceeding. Lets say the leaf node of two parallel paths are Node 3 and Node 4. Now I want to join the output from Node 3 and Node 4 to another Node 5. Let's assume that Node 5 is joined to another Node 6. I am expecting that Node 5 and then Node 6 will be only executed once both Node 3 and Node 4 are executed.
Please tell us about your environment (Operating system, docker version, browser & web ui version, etc):
macOS
Flogo version (CLI & contrib/lib. If unknown, leave empty or state unknown): 0.X.X
The text was updated successfully, but these errors were encountered:
I have been playing around with flogo for some time now. As far as I know, there is no direct way to do this. However, there might some workaround for implementing this 🤔.
What is your question?
I have tried flogo and found the split path mechanism very useful. I am talking about multiple output from a node which splits the flow into parallel paths. In this case all the paths are executed independently.
I wanted to know if there is any way to do the opposite of split, i.e, join. Basically I want to join multiple independent paths to one path before proceeding. Lets say the leaf node of two parallel paths are Node 3 and Node 4. Now I want to join the output from Node 3 and Node 4 to another Node 5. Let's assume that Node 5 is joined to another Node 6. I am expecting that Node 5 and then Node 6 will be only executed once both Node 3 and Node 4 are executed.
Please tell us about your environment (Operating system, docker version, browser & web ui version, etc):
macOS
Flogo version (CLI & contrib/lib. If unknown, leave empty or state unknown): 0.X.X
The text was updated successfully, but these errors were encountered: