Elasticsearch : Is it possible to not analysed aggregation query on analysed field? - elasticsearch

Question

I have certain document which stores the brand names in analysed form for ex: {"name":"Sam-sung"} {"name":"Motion:Systems"}. There are cases where i would want to aggregation these brands under timestamp.
my query as follow ,
{
"size": 0,
"aggs": {
"filtered_aggs": {
"filter": {
"range": {
"#timestamp":{
"gte":"2016-07-18T14:23:41.459Z",
"lte":"2016-07-18T14:53:10.017Z"
}
}
},
"aggs": {
"execute_time": {
"terms": {
"field": "brands",
"size": 0
}
}
}
}
}
}
but the return results will be
{
...
"aggregations": {
"states": {
"buckets": [
{
"key": "Sam",
"doc_count": 5
},
{
"key": "sung",
"doc_count": 5
},
{
"key": "Motion",
"doc_count": 1
},
{
"key": "Systems",
"doc_count": 1
}
]
}
}
}
but i want to the results is
{
...
"aggregations": {
"states": {
"buckets": [
{
"key": "Sam-sung",
"doc_count": 5
},
{
"key": "Motion:Systems",
"doc_count": 1
}
]
}
}
}
Is there any way in which i can make not analysed query on analysed field in elastic search?

Answer 1

You need to add a not_analyzed sub-field to your brands fields and then aggregate on that field.
PUT /index/_mapping/type
{
"properties": {
"brands": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
Then you need to fully reindex your data in order to populate the new sub-fields brands.raw.
Finally, you can change your query to this:
POST index/_search
{
"size": 0,
"aggs": {
"filtered_aggs": {
"filter": {
"range": {
"#timestamp":{
"gte":"2016-07-18T14:23:41.459Z",
"lte":"2016-07-18T14:53:10.017Z"
}
}
},
"aggs": {
"execute_time": {
"terms": {
"field": "brands.raw",
"size": 0
}
}
}
}
}
}