Facet of whole value of analyzed field instead of tokens

Elastic Stack Elasticsearch
1

Hi All,

We have index mapping as mentioned below.

{
"test" : {
"tweet" : {
"properties" : {
"content1" : {
"type" : "string"
},
"message" : {
"type" : "string",
"store" : true
}
}
}
}
}

The value of field message is "won match test" and have inserted 10
records of similar type. On term facet over value, we are getting facet
count 30 for value "won match test" while we are expecting total count 10.

    TermsFacetBuilder termsFacetBuilder = FacetBuilders.termsFacet(

"combine").fields("message").scriptField("_fields.message.value
").size(100);

    SearchRequestBuilder searchRequestBuilder = client
            .prepareSearch("test")
            .setSearchType(SearchType.QUERY_THEN_FETCH)
            .addFacet(termsFacetBuilder).setSize(10000);
    SearchResponse searchResponse = searchRequestBuilder.execute()
            .actionGet();
    TermsFacet f = (TermsFacet) searchResponse.getFacets().facetsAsMap()
            .get("combine");
    
    System.out.println(f.getTotalCount()); // Total terms doc count
    System.out.println(f.getOtherCount()); // Not shown terms doc count
    System.out.println(f.getMissingCount()); // Without term doc count
    // For each entry
    for (TermsFacet.Entry entry : f) {            
        System.out.println(entry.getTerm());
        System.out.println(entry.getCount());
    }

Please help.

Regards,
Ankit Jain

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2

Hi,

The the facet field should not be analyzed and you don't need to store it
either as the indexed value is used for display purposes. For the message
property make the type 'multi_field' , index an analyzed version of
'message' (for searching) and and not analyzed version of your field (for
faceting):

{
"test" : {
"tweet" : {
"properties" : {
"content1" : {
"type" : "string"
},
"message" : {
"type": "multi_field",
"fields":{
"message":{
"type":"string",
"index":"analyzed",
"store":"true"
},
"untouched": {
"type": "string",
"index": "not_analyzed"
}
}

            }
        }
    }
}

}

When you create your TermFacetBuilder use:

TermsFacetBuilder facetBuilder =
FacetBuilders.termsFacet("Message").field("message.untouched");

Dan

On Monday, November 11, 2013 2:07:27 PM UTC, Ankit Jain wrote:

Hi All,

We have index mapping as mentioned below.

{
"test" : {
"tweet" : {
"properties" : {
"content1" : {
"type" : "string"
},
"message" : {
"type" : "string",
"store" : true
}
}
}
}
}

The value of field message is "won match test" and have inserted 10
records of similar type. On term facet over value, we are getting facet
count 30 for value "won match test" while we are expecting total count 10.

    TermsFacetBuilder termsFacetBuilder = FacetBuilders.termsFacet(

"combine").fields("message").scriptField("_fields.message.value
").size(100);

    SearchRequestBuilder searchRequestBuilder = client
            .prepareSearch("test")
            .setSearchType(SearchType.QUERY_THEN_FETCH)
            .addFacet(termsFacetBuilder).setSize(10000);
    SearchResponse searchResponse = searchRequestBuilder.execute()
            .actionGet();
    TermsFacet f = (TermsFacet)

searchResponse.getFacets().facetsAsMap()
.get("combine");

    System.out.println(f.getTotalCount()); // Total terms doc count
    System.out.println(f.getOtherCount()); // Not shown terms doc count
    System.out.println(f.getMissingCount()); // Without term doc count
    // For each entry
    for (TermsFacet.Entry entry : f) {            
        System.out.println(entry.getTerm());
        System.out.println(entry.getCount());
    }

Please help.

Regards,
Ankit Jain

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