Hello Ravi ,
Your approach is wrong.
When you use synonym filter , it indexes all synonyms of that token hence
and synonym will match against that term.
So when you do a facet , you will get an aggregation of all synonyms rather
than just one.
Better approach would be to store the unique name into some other field and
take a facet of that field.
Thanks
Vineeth
On Mon, Jul 21, 2014 at 11:21 PM, wrote:
> Hi All,
>
> I have a requirement in which I need to find distinct company names. I was
> using "Keyword" tokenizer for that field and through term facet I was able
> to get distinct company names. However terms facet treated company names
> like "ibm suisse", "ibm corporation", "ibm" as different companies.
> Online documentation suggested me to use "Synonym filter" to solve this.
> My settings is:
>
> curl -XPUT 'http://localhost:9200/dataindex/' -d '{
> "settings": {
> "index": {
> "analysis": {
> "analyzer": {
> "customAnalyzer": {
> "type": "custom",
> "tokenizer": "whitespace",
> "filter": [
> "lowercase","synonym"
> ]
> }
> },
> "filter": {
> "synonym" : {
> "type" : "synonym",
> "tokenizer": "keyword",
> "synonyms_path" : "analysis/synonym.txt"
> }
> }
> }
> }
> }
> }'
>
> My mapping is:
>
> curl -XPUT 'http://localhost:9200/dataindex/tweet/_mapping' -d '
> {
> "tweet" : {
> "properties" : {
> "company": {
> "type": "string",
> "analyzer": "customAnalyzer"
> }
> }
> }
> }'
>
> In the synonym.txt file I have : ibm suisse, ibm corporation, ibm
> business, ibm => ibm corp ltd
>
> Indexed data:
> curl -XPUT 'http://localhost:9200/dataindex/tweet/1' -d '{
> "company" : "ibm"
> }'
> curl -XPUT 'http://localhost:9200/dataindex/tweet/2' -d '{
> "company" : "ibm corporation"
> }'
> curl -XPUT 'http://localhost:9200/dataindex/tweet/3' -d '{
> "company" : "ibm suisse"
> }'
> curl -XPUT 'http://localhost:9200/dataindex/tweet/4' -d '{
> "company" : "ibm business"
> }'
>
> If I run a terms facet:
> {
> "facets": {
> "loc_facet": {
> "terms": {
> "field": "company"
> }
> }
> }
> }
> I get 3 terms ie {term: ibm corp ltd, count: 3} {term: suisse, count: 1}
> {term: corporation, count: 1}
> I want the facet result to return only one term: ibm corp ltd with
> count=3. This way i will get distinct company names and also map synonym
> names into single company name.
> Please correct me if I am using wrong tokenizer or my approach is not
> correct.
>
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