Elastic search fuzzy query unexpected results - elasticsearch

Question

I have 2 indices, cities and places. Places one has a mapping like this:
{
"mappings": {
"properties": {
"cityId": {
"type": "integer"
},
"cityName": {
"type": "text"
},
"placeName": {
"type": "text"
},
"status": {
"type": "keyword"
},
"category": {
"type": "keyword"
},
"reviews": {
"properties": {
"rating": {
"type": "long"
},
"comment": {
"type": "keyword"
},
"user": {
"type": "nested"
}
}
}
}
}
}
And City is index is mapped like this:
{
"mappings": {
"properties": {
"state": {
"type": "keyword"
},
"postal": {
"type": "keyword"
},
"phone": {
"type": "keyword"
},
"email": {
"type": "keyword"
},
"notes": {
"type": "keyword"
},
"status": {
"type": "keyword"
},
"cityName": {
"type": "text"
},
"website": {
"type": "keyword"
},
"cityId": {
"type": "integer"
}
}
}
}
Initially we had a single document where cities had places embedded but I was having trouble searching nested places array so I changed the structure to this, I want to be able to search both cityName and placeName in a single query with fuzziness. I have a city including the word Welder's in it's name and also the some places inside the same location have the word Welder's in their name, which have a type:text. However when searched for welder both of the following queries see below don't return these documents, a search for welders OR welder's does return these documents. I am not sure why welder won't match with Welder's*. I didn't specify any analyzer during the creation of both the indices and neither am I explicitly defining it in the query can anyone help me out with this query so it behaves as expected:
Query 1: index = places
{
"query": {
"bool": {
"should": [
{
"match": {
"placeName": {
"query": "welder",
"fuzziness": 20
}
}
},
{
"match": {
"cityName": {
"query": "welder",
"fuzziness": 20
}
}
}
]
}
}
}
Query 2: index = places
{
"query": {
"match": {
"placeName": {
"query": "welder",
"fuzziness": 20
}
}
}
}
Can anyone post a query that when passed a word welder would return documents having Welder's in their name (should also work for other terms like these, this is just an example)
Edit 1 :
This is a sample place document I would want to be returned by any of the queries posted above:
{
cityId: 29,
placeName: "Welder's Garage Islamabad",
cityName: "Islamabad",
status: "verified",
category: null,
reviews: []
}

Answer 1

Using your mapping and query and fuzziness set as "20" I am getting document back. Fuzziness: 20 will tolerate 20 edit distance between searched word and welder's so even "w" will match with "welder's". I think this value is different in your actual query.
If you want to search for welder or welders and return welder's then you can use stemmer token filter
Mapping:
PUT indexfuzzy
{
"mappings": {
"properties": {
"cityId": {
"type": "integer"
},
"cityName": {
"type": "text"
},
"placeName": {
"type": "text",
"analyzer": "my_analyzer"
},
"status": {
"type": "keyword"
},
"category": {
"type": "keyword"
},
"reviews": {
"properties": {
"rating": {
"type": "long"
},
"comment": {
"type": "keyword"
},
"user": {
"type": "nested"
}
}
}
}
},
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"filter": [
"lowercase",
"stem_possessive_english",
"stem_minimal_english"
]
}
},
"filter": {
"stem_possessive_english": {
"type": "stemmer",
"name": "possessive_english"
},
"stem_minimal_english": {
"type": "stemmer",
"name": "minimal_english"
}
}
}
}
}
Query :
GET indexfuzzy/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"placeName": {
"query": "welder"--> welder,welders,welder's will work
}
}
},
{
"match": {
"cityName": {
"query": "welder"
}
}
}
]
}
}
}
Result:
[
{
"_index" : "indexfuzzy",
"_type" : "_doc",
"_id" : "Jc-yx3ABd7NBn_0GTBdp",
"_score" : 0.2876821,
"_source" : {
"cityId" : 29,
"placeName" : "Welder's Garage Islamabad",
"cityName" : "Islamabad",
"status" : "verified",
"category" : null,
"reviews" : [ ]
}
}
]
possessive_english:- removes trailing 's from tokens
minimal_english:- removes plurals
GET <index_name>/_analyze
{
"text": "Welder's Garage Islamabad",
"analyzer": "my_analyzer"
}
returns
{
"tokens" : [
{
"token" : "welder", --> will be matched for welder's, welders
"start_offset" : 0,
"end_offset" : 8,
"type" : "<ALPHANUM>",
"position" : 0
},
{
"token" : "garage",
"start_offset" : 9,
"end_offset" : 15,
"type" : "<ALPHANUM>",
"position" : 1
},
{
"token" : "islamabad",
"start_offset" : 16,
"end_offset" : 25,
"type" : "<ALPHANUM>",
"position" : 2
}
]
}