Elasticsearch term query to number token - elasticsearch

Question

I need to explain some weird behavior of term query to Elasticsearch database which contains number part in the string. Query is pretty simple:
{
"query": {
"bool": {
"should": [
{
"term": {
"address.street": "8 kvetna"
}
}
]
}
}
}
The problem is that term 8 kvetna returns empty result. I tried to _analyze it ad it make regular tokens like 8, k, kv, kve .... Also I am pretty sure there is a value 8 kvetna in database.
Here is the mapping for the field:
{
"settings": {
"index": {
"refresh_interval": "1m",
"number_of_shards": "1",
"number_of_replicas": "1",
"analysis": {
"filter": {
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "20"
}
},
"analyzer": {
"autocomplete": {
"filter": [
"lowercase",
"asciifolding",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
}
"default": {
"filter": [
"lowercase",
"asciifolding"
],
"type": "custom",
"tokenizer": "standard"
}
}
}
}
},
"mappings": {
"doc": {
"dynamic": "strict",
"_all": {
"enabled": false
},
"properties": {
"address": {
"properties": {
"city": {
"type": "text",
"analyzer": "autocomplete"
},
"street": {
"type": "text",
"analyzer": "autocomplete"
}
}
}
}
}
}
}
What caused this weird result? I don't understand it. Thanks for any help.

Answer 1

Great start so far! Your only issue is that you're using a term query, while you should use a match one. A term query will try to do an exact match for 8 kvetna and that's not what you want. The following query will work:
{
"query": {
"bool": {
"should": [
{
"match": { <--- change this
"address.street": "8 kvetna"
}
}
]
}
}
}