Nested aggregation in nested aggregation query - elasticsearch

Question

Having the below (abbreviated) document in Elastic Search 7.1. Focusing on questions.influencerReponse.selectAllThatApplyResponses path.
{
"questions": [
{
"questionId": "79cfc6e7-731e-4d83-9dd6-82f4f39fff03",
"questionKind": "select_all_that_apply",
"questionText": "Have you heard of any of the following charities?",
"questionOptions": {
"1": "Plan International",
"2": "Young Women's Trust",
"3": "Women For Refugee Women",
"4": "The FPA"
},
"influencerReponse": {
"questionId": "79cfc6e7-731e-4d83-9dd6-82f4f39fff03",
"questionKind": "select_all_that_apply",
"text": null,
"questionOrder": 3,
"order": null,
"shortAnswerResponse": null,
"viewerSentimentResponse": null,
"yesNoResponse": null,
"selectAllThatApplyResponses": [
{
"key": "2",
"value": "Young Women's Trust"
}
]
}
}
]
}
I want to get the term aggregations for the key or the value, both are keyword type. I accomplished that before but not in the level of selectAllThatApplyResponses nested type.
Here's what I have so far and throwing the below error.
{
"query": {
"bool": {
"must": [
{
"term": {
"sponsorshipId": {
"value": "33c7140f-23ae-46f2-a0fe-49e2251114e4"
}
}
}
]
}
},
"track_total_hits": true,
"size": 0,
"aggs": {
"select_all_that_apply_responses": {
"nested": {
"path": "questions"
},
"aggs": {
"filter_types": {
"filter": {
"bool": {
"must": [
{
"match": {
"questions.questionId": "79cfc6e7-731e-4d83-9dd6-82f4f39fff03"
}
}
]
}
},
"aggs": {
"select_all_that_apply_nested": {
"nested": {
"path": "questions.influencerReponse.selectAllThatApplyResponses"
},
"aggs": {
"terms": {
"field": "questions.influencerReponse.selectAllThatApplyResponses.key"
}
}
}
}
}
}
}
}
}
I am receiving the below error.
{
"error": {
"root_cause": [
{
"type": "parsing_exception",
"reason": "Expected [START_OBJECT] under [field], but got a [VALUE_STRING] in [terms]",
"line": 42,
"col": 46
}
],
"type": "parsing_exception",
"reason": "Expected [START_OBJECT] under [field], but got a [VALUE_STRING] in [terms]",
"line": 42,
"col": 46
},
"status": 400
}

Answer 1

The final terms agg needs a name too -- I called it select_all_that_apply_nested_terms.
...
"select_all_that_apply_nested":{
"nested":{
"path":"questions.influencerReponse.selectAllThatApplyResponses"
},
"aggs":{
"select_all_that_apply_nested_terms":{
"terms":{
"field":"questions.influencerReponse.selectAllThatApplyResponses.key"
}
}
}
}
...