I want to change the scoring system in elasticsearch to get rid of counting multiple appearances of a term. For example, I want:
"texas texas texas"
and
"texas"
to come out as the same score. I had found this mapping that elasticsearch said would disable term frequency counting but my searches do not come out as the same score:
"mappings":{
"business": {
"properties" : {
"name" : {
"type" : "string",
"index_options" : "docs",
"norms" : { "enabled": false}}
}
}
}
}
Any help will be appreciated, I have not been able to find a lot of information on this.
I am adding my search code and what gets returned when I use explain.
My search code:
Settings settings = ImmutableSettings.settingsBuilder().put("cluster.name", "escluster").build();
Client client = new TransportClient(settings)
.addTransportAddress(new InetSocketTransportAddress("127.0.0.1", 9300));
SearchRequest request = Requests.searchRequest("businesses")
.source(SearchSourceBuilder.searchSource().query(QueryBuilders.boolQuery()
.should(QueryBuilders.matchQuery("name", "Texas")
.minimumShouldMatch("1")))).searchType(SearchType.DFS_QUERY_THEN_FETCH);
ExplainRequest request2 = client.prepareIndex("businesses", "business")
and when I search with explain I get:
"took" : 14,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [ {
"_shard" : 1,
"_node" : "BTqBPVDET5Kr83r-CYPqfA",
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9U5KBks4zEorv9YI4n",
"_score" : 1.0,
"_source":{
"name" : "texas"
}
,
"_explanation" : {
"value" : 1.0,
"description" : "weight(_all:texas in 0) [PerFieldSimilarity], result of:",
"details" : [ {
"value" : 1.0,
"description" : "fieldWeight in 0, product of:",
"details" : [ {
"value" : 1.0,
"description" : "tf(freq=1.0), with freq of:",
"details" : [ {
"value" : 1.0,
"description" : "termFreq=1.0"
} ]
}, {
"value" : 1.0,
"description" : "idf(docFreq=2, maxDocs=3)"
}, {
"value" : 1.0,
"description" : "fieldNorm(doc=0)"
} ]
} ]
}
}, {
"_shard" : 1,
"_node" : "BTqBPVDET5Kr83r-CYPqfA",
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9U5K6Ks4zEorv9YI4o",
"_score" : 0.8660254,
"_source":{
"name" : "texas texas texas"
}
,
"_explanation" : {
"value" : 0.8660254,
"description" : "weight(_all:texas in 0) [PerFieldSimilarity], result of:",
"details" : [ {
"value" : 0.8660254,
"description" : "fieldWeight in 0, product of:",
"details" : [ {
"value" : 1.7320508,
"description" : "tf(freq=3.0), with freq of:",
"details" : [ {
"value" : 3.0,
"description" : "termFreq=3.0"
} ]
}, {
"value" : 1.0,
"description" : "idf(docFreq=2, maxDocs=3)"
}, {
"value" : 0.5,
"description" : "fieldNorm(doc=0)"
} ]
} ]
}
} ]
}
It looks like it is still considering frequency and doc frequency. Any ideas? Sorry for the bad formatting I don't know why it is appearing so grotesque.
My code from the browser search http://localhost:9200/businesses/business/_search?pretty=true&qname=texas is:
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"failed" : 0
},
"hits" : {
"total" : 4,
"max_score" : 1.0,
"hits" : [ {
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9YcCKjKvtg8NgyozGK",
"_score" : 1.0,
"_source":{"business" : {
"name" : "texas texas texas texas" }
}
}, {
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9YateBKvtg8Ngyoy-p",
"_score" : 1.0,
"_source":{
"name" : "texas" }
}, {
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9YavVnKvtg8Ngyoy-4",
"_score" : 1.0,
"_source":{
"name" : "texas texas texas" }
}, {
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9Yb7NgKvtg8NgyozFf",
"_score" : 1.0,
"_source":{"business" : {
"name" : "texas texas texas" }
}
} ]
}
}
It finds all 4 objects I have in there and has them all the same score. When I run my java API search with explain I get:
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 3,
"successful" : 3,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.287682,
"hits" : [ {
"_shard" : 1,
"_node" : "BTqBPVDET5Kr83r-CYPqfA",
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9YateBKvtg8Ngyoy-p",
"_score" : 1.287682,
"_source":{
"name" : "texas" }
,
"_explanation" : {
"value" : 1.287682,
"description" : "weight(name:texas in 0) [PerFieldSimilarity], result of:",
"details" : [ {
"value" : 1.287682,
"description" : "fieldWeight in 0, product of:",
"details" : [ {
"value" : 1.0,
"description" : "tf(freq=1.0), with freq of:",
"details" : [ {
"value" : 1.0,
"description" : "termFreq=1.0"
} ]
}, {
"value" : 1.287682,
"description" : "idf(docFreq=2, maxDocs=4)"
}, {
"value" : 1.0,
"description" : "fieldNorm(doc=0)"
} ]
} ]
}
}, {
"_shard" : 1,
"_node" : "BTqBPVDET5Kr83r-CYPqfA",
"_index" : "businesses",
"_type" : "business",
"_id" : "AU9YavVnKvtg8Ngyoy-4",
"_score" : 1.1151654,
"_source":{
"name" : "texas texas texas" }
,
"_explanation" : {
"value" : 1.1151654,
"description" : "weight(name:texas in 0) [PerFieldSimilarity], result of:",
"details" : [ {
"value" : 1.1151654,
"description" : "fieldWeight in 0, product of:",
"details" : [ {
"value" : 1.7320508,
"description" : "tf(freq=3.0), with freq of:",
"details" : [ {
"value" : 3.0,
"description" : "termFreq=3.0"
} ]
}, {
"value" : 1.287682,
"description" : "idf(docFreq=2, maxDocs=4)"
}, {
"value" : 0.5,
"description" : "fieldNorm(doc=0)"
} ]
} ]
}
} ]
}
}
Looks like one cannot override the index options for a field after the field has been initial set in mapping
Example:
put test
put test/business/_mapping
{
"properties": {
"name": {
"type": "string",
"index_options": "freqs",
"norms": {
"enabled": false
}
}
}
}
put test/business/_mapping
{
"properties": {
"name": {
"type": "string",
"index_options": "docs",
"norms": {
"enabled": false
}
}
}
}
get test/business/_mapping
{
"test": {
"mappings": {
"business": {
"properties": {
"name": {
"type": "string",
"norms": {
"enabled": false
},
"index_options": "freqs"
}
}
}
}
}
}
You would have to recreate the index to pick up the new mapping