Term aggregation consider only the prefix to aggregate - elasticsearch

Question

In my elastic search documents I have users and some sort of representation of his place in the organization, for instance:
The CEO is position 1
The ones directly under the CEO will be 1/1, 1/2, 1/3, and so on
The ones under 1/1 will be 1/1/1, 1/1/2, 1/2/3, etc
I have an aggregration in which I want to aggregate by VP, so I want everybody under 1/1, 1/2, 1/3.
To do that I created a query like this one:
"aggs": {
"information": {
"terms":{
"field": "position",
"script": "_value.replaceAll('(1/1/[0/]*[1-9]).+', '$1')"
}
This would get the prefix and replace by the group in the regex, so everyone would have the same position, then I could make the aggregation. This has a poor performance.
I was thinking about using something like this
"aggs": {
"information": {
"terms":{
"field": "position",
"prefix": "1/1/.*'
}
So I would group by everyone that starts with 1/1 (1/1/1/1, 1/1/1/2, 1/1/1/3 would be one group, 1/1/2/1, 1/1/2/2, 1/1/2/3 would be a second group and so on).
Is it possible?

Answer 1

If you know beforehand that on how deep level you want to run this aggregation, you could simply store these levels at different fields:
{
"name": "Jack",
"own_level": 4,
"level_1": "1",
"level_2": "3",
"level_3": "2",
"level_4": null
}
But this would require many nested terms aggregations to reproduce the hierarchy. This version would make one such aggregation sufficient:
{
"name": "Jack",
"own_level": 4,
"level_1": "1",
"level_2": "1/3",
"level_3": "1/3/2",
"level_4": null
}
It also has simpler query filter if you want to focus on people under for example 1/1 by having a filter on field level_2 and terms aggregation on field level_3.
If you don't know the maximum level of the hierarchy you can use nested documents like this, but then queries and aggregations get a bit more complex:
{
"name": "Jack",
"own_level": 4,
"bosses": [
{
"level": 1,
"id": "1"
},
{
"level": 2,
"id": "1/3"
},
{
"level": 3,
"id": "1/3/2"
}
]
}