Describe the question
I’m wondering about the proper approach to serialize single input coming from multiple branches vs. multiple inputs coming from one branch. The data input itself is conditional, because not all branches are running at the same time. The following screenshot is an example of single input coming from multiple branches:
In the example above, the first aggregation (after set fields) is intended to serialize the inputs from the set field node; the output is parsed as data field. The second aggregate combine all individual fields from the data field. The third aggregate is intended to again serialize the second aggregate node’s result.
And below is an example of multiple inputs coming from a single branch:
In this example, the first serialization works. It makes me wonder, why the second serialization (the third aggregation node) does not work. I have read Merge multiple Inputs and Best practice to wait for multiple branches before continuing? , which suggested the merge node. Merge node is not usable in my case because the branches are conditional, i.e., only selected branches are active at one time.
Please share your workflow
Share the output returned by the last node
The current output is separated into two objects. The first object:
[
{
"results": [
{
"data": [
[
{
"PractitionerRoleID": "DGWADAG4GTWJS7US",
"Specialty": [
"Statistics",
"Clinical Research",
"Complex Modelling",
"Public Health"
],
"Availability": {
"mon": {
"start": "08:00",
"end": "10:00"
},
"tue": {
"start": "09:00",
"end": "14:00"
},
"wed": {
"start": "10:00",
"end": "12:00"
},
"thu": {
"start": "10:00",
"end": "14:00"
},
"fri": {
"start": "09:00",
"end": "12:00"
},
"sat": {
"start": "08:00",
"end": "12:00"
}
}
}
]
]
}
]
}
]
The second object:
[
{
"results": [
{
"data": [
[
{
"Name": "Aly Lamuri",
"PractitionerID": "DGWAADRS3KC4WNIW"
}
]
]
}
]
}
]
What I want is a single object containing all results:
[
{
"results": [
{
"data": [
[
{
"Name": "Aly Lamuri",
"PractitionerID": "DGWAADRS3KC4WNIW"
}
]
]
},
{
"data": [
[
{
"PractitionerRoleID": "DGWADAG4GTWJS7US",
"Specialty": [
"Statistics",
"Clinical Research",
"Complex Modelling",
"Public Health"
],
"Availability": {
"mon": {
"start": "08:00",
"end": "10:00"
},
"tue": {
"start": "09:00",
"end": "14:00"
},
"wed": {
"start": "10:00",
"end": "12:00"
},
"thu": {
"start": "10:00",
"end": "14:00"
},
"fri": {
"start": "09:00",
"end": "12:00"
},
"sat": {
"start": "08:00",
"end": "12:00"
}
}
}
]
]
}
]
}
]
Information on your n8n setup
- n8n version: 2.2.4
- Database (default: SQLite): PostgreSQL
- n8n EXECUTIONS_PROCESS setting (default: own, main): own, main
- Running n8n via (Docker, npm, n8n cloud, desktop app): Docker
- Operating system: Ubuntu LTS
