elasticsearch ngrams results are wrong - solr

Question

I am trying to implement partial matching using ngrams in elasticsearch but not getting the expected results out of it.
I am following this link:-
https://www.elastic.co/guide/en/elasticsearch/guide/current/_index_time_search_as_you_type.html
I have done all the things which are mentioned in this link. My dataset contains 3 fields i.e id,name,age.
Here is my mapping and setting of my_index
GET /my_index/_settings
{
"my_index": {
"settings": {
"index": {
"creation_date": "1433249154544",
"uuid": "hKxHVnqaRVmji31xK92pVA",
"number_of_replicas": "1",
"analysis": {
"filter": {
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "20"
}
},
"analyzer": {
"autocomplete": {
"type": "custom",
"filter": [
"lowercase",
"autocomplete_filter"
],
"tokenizer": "standard"
}
}
},
"number_of_shards": "1",
"version": {
"created": "1040499"
}
}
}
}
}
GET /my_index/_mapping/my_type
{
"my_index": {
"mappings": {
"my_type": {
"properties": {
"#timestamp": {
"type": "date",
"format": "dateOptionalTime"
},
"#version": {
"type": "string"
},
"age": {
"type": "long"
},
"host": {
"type": "string"
},
"id": {
"type": "string"
},
"message": {
"type": "string"
},
"name": {
"type": "string",
"index_analyzer": "autocomplete",
"search_analyzer": "standard"
},
"path": {
"type": "string"
},
"type": {
"type": "string"
}
}
}
}
}
}
My query to elastic search is :-
GET /my_index/my_type/_search
{
"query": {
"match": {
"name": {
"query": "raman r"
}
}
}
}
According to me now the results should display only "raman ram" but it is also showing other results as well:-
{
"took": 13,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 9,
"max_score": 2.6631343,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "2",
"_score": 2.6631343,
"_source": {
"message": [
"2,raman,23"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "2",
"name": "raman",
"age": 23
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "10",
"_score": 1.8003473,
"_source": {
"message": [
"10,raman ram,43"
],
"#version": "1",
"#timestamp": "2015-06-02T13:11:03.455Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "10",
"name": "raman ram",
"age": 43
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "1",
"_score": 0.26245093,
"_source": {
"message": [
"1,Ram,342"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.040Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "1",
"name": "Ram",
"age": 342
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "3",
"_score": 0.26245093,
"_source": {
"message": [
"3,ramayan,23"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "3",
"name": "ramayan",
"age": 23
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "4",
"_score": 0.26245093,
"_source": {
"message": [
"4,ramaram,231"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "4",
"name": "ramaram",
"age": 231
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "5",
"_score": 0.26245093,
"_source": {
"message": [
"5,rampy,1"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "5",
"name": "rampy",
"age": 1
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "6",
"_score": 0.26245093,
"_source": {
"message": [
"6,ration,11"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "6",
"name": "ration",
"age": 11
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "7",
"_score": 0.26245093,
"_source": {
"message": [
"7,rita,42"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.042Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "7",
"name": "rita",
"age": 42
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "8",
"_score": 0.26245093,
"_source": {
"message": [
"8,roni,45"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.050Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "8",
"name": "roni",
"age": 45
}
}
]
}
}

Answer 1

I get correct results when i use "minimum_should_match": "100%" while querying.
GET /my_index/my_type/_search
{
"query": {
"match": {
"name": {
"query": "raman r",
"minimum_should_match": "100%"
}
}
}
}
Gave me better result although ranking is not right:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 2.6631343,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "2",
"_score": 2.6631343,
"_source": {
"message": [
"2,raman,23"
],
"#version": "1",
"#timestamp": "2015-06-02T13:07:18.041Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "2",
"name": "raman",
"age": 23
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "10",
"_score": 1.8003473,
"_source": {
"message": [
"10,raman ram,43"
],
"#version": "1",
"#timestamp": "2015-06-02T13:11:03.455Z",
"type": "my_type",
"host": "shubham-VirtualBox",
"path": "/home/shubham/sample.csv",
"id": "10",
"name": "raman ram",
"age": 43
}
}
]
}
}
Don't know whether this approach is correct or not but do tell me if any alternative is there for this