How to aggs on particular field in elasticsearch - elasticsearch

Question

I have dictionary below
{
'id': 0,
'Title': 'Wolf',
'Major Genre': Action,
'IMDB': "7"
},
{
'id': 1,
'Title': 'The Land Girls',
'Major Genre': Drama,
'IMDB': "7"
},
{
'id': 2,
'Title': 'Beauty',
'Major Genre': Comedy,
'IMDB': "5"
}
Need to find the aggregation function for Major Genre
Need to filter the output which is having Major Genre == Comedy which IMDB >6
I have done below and i got error
{
"size": 100,
"aggregations": {
"terms": {
"Major Genre": "Comedy"
}
}
}

Answer 1

Edit: splitted queries
Filtering documents by Comedy genre
POST test_nons/_search
{
"query": {
"bool": {
"filter": [
{
"range": {
"IMDB": {
"gte": 4
}
}
},
{
"term": {
"Major Genre.keyword": "Comedy"
}
}
]
}
}
}
Getting all possible genres
POST test_nons/_search
{
"size": 0,
"aggs": {
"major_genres": {
"terms": {
"field": "Major Genre.keyword",
"size": 10
}
}
}
}
Ingest data
POST test_nons/_doc
{
"id": 0,
"Title": "Wolf",
"Major Genre": "Action",
"IMDB": "7"
}
POST test_nons/_doc
{
"id": 1,
"Title": "The Land Girls",
"Major Genre": "Drama",
"IMDB": "7"
}
POST test_nons/_doc
{
"id": 2,
"Title": "Beauty",
"Major Genre": "Comedy",
"IMDB": "5"
}
Request
POST test_nons/_search
{
"query": {
"bool": {
"filter": [
{
"range": {
"IMDB": {
"gte": 6
}
}
},
{
"term": {
"Major Genre.keyword": "Comedy"
}
}
]
}
},
"aggs": {
"major_genres": {
"terms": {
"field": "Major Genre.keyword",
"size": 10
}
}
}
}
Response
There are no docs with Comedy genre and IMBD > 6 so response would be empty.
For example purposes I will filter by IMDB > 4 instead of 6 to have some data in the response.
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 0.0,
"hits" : [
{
"_index" : "test_nons",
"_type" : "_doc",
"_id" : "Rcd06ncB50NMsuQPeVRj",
"_score" : 0.0,
"_source" : {
"id" : 2,
"Title" : "Beauty",
"Major Genre" : "Comedy",
"IMDB" : "5"
}
}
]
},
"aggregations" : {
"major_genres" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "Comedy",
"doc_count" : 1
}
]
}
}
}