How to get word count in docs as a aggregate over time in elastic search? - elasticsearch

Question

I am trying to get word count trends in docs as aggregate result . Although using the following approach I am able to get the doc count aggregation result but I am not able to find any resources using which I can get word count for the month of jan , feb & mar
PUT test/_doc/1
{
"description" : "one two three four",
"month" : "jan"
}
PUT test/_doc/2
{
"description" : "one one test test test",
"month" : "feb"
}
PUT test/_doc/3
{
"description" : "one one one test",
"month" : "mar"
}
GET test/_search
{
"size": 0,
"query": {
"match": {
"description": {
"query": "one"
}
}
},
"aggs": {
"monthly_count": {
"terms": {
"field": "month.keyword"
}
}
}
}
OUTPUT
{
"took" : 706,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 3,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"monthly_count" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "feb",
"doc_count" : 1
},
{
"key" : "jan",
"doc_count" : 1
},
{
"key" : "mar",
"doc_count" : 1
}
]
}
}
}
EXPECTED WORD COUNT OVER MONTH
"aggregations" : {
"monthly_count" : {
"buckets" : [
{
"key" : "feb",
"word_count" : 2
},
{
"key" : "jan",
"word_count" : 1
},
{
"key" : "mar",
"word_count" : 3
}
]
}
}

Answer 1

Maybe this query can help you:
GET test/_search
{
"size": 0,
"aggs": {
"monthly_count": {
"terms": {
"field": "month.keyword"
},
"aggs": {
"count_word_one": {
"terms": {
"script": {
"source": """
def str = doc['description.keyword'].value;
def array = str.splitOnToken(' ');
int i = 0;
for (item in array) {
if(item == 'one'){
i++
}
}
return i;
"""
},
"size": 10
}
}
}
}
}
}
Response:
"aggregations" : {
"monthly_count" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "feb",
"doc_count" : 1,
"count_word_one" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "2",
"doc_count" : 1
}
]
}
},
{
"key" : "jan",
"doc_count" : 1,
"count_word_one" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "1",
"doc_count" : 1
}
]
}
},
{
"key" : "mar",
"doc_count" : 1,
"count_word_one" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "3",
"doc_count" : 1
}
]
}
}
]
}
}