The function score should not affect relevancy, only the scoring, so the
number of results should not differ. Strange.
Perhaps you do not need to use a function score. With the simple query
string, you can append the boost parameter to the field name:
"simple_query_string": {
"query": "128",
"fields": [
"content.name_enu.simple^1.5"
]
}
Since your example query is just a simple term and not a Lucene query, you
should probably use a match query, which is a boostable query.
Cheers,
Ivan
On Tue, Aug 26, 2014 at 4:15 PM, Akshay Shukla <[email protected]>
wrote:
> I am trying to add a custom boost to the different should clauses in the
> bool query, but I am getting different number of results when I use the
> bool query with 2 should clauses containing 2 simple query string query vs
> a bool query with 2 should clauses with 2 function score query
> encapsulating the same simple query string queries.
> The following query returns me 2 results for my data set:
> {
> "query" : {
> "filtered" : {
> "query" : {
> "bool" : {
> "should" : [ {
> "simple_query_string" : {
> "query" : "128",
> "fields" : [ "content.name_enu.simple" ]
> }
> }, {
> "simple_query_string" : {
> "query" : "128",
> "fields" : [ "content.name_enu.simple_with_numeric" ]
> }
> } ]
> }
> },
> "filter" : {
> "bool" : {
> "must" : [ {
> "term" : {
> "securityInfo.securityType" : "open"
> }
> }, {
> "bool" : {
> "must" : [ {
> "term" : {
> "sourceId.sourceSystem" : "jmeter_007971_numeric"
> }
> }, {
> "term" : {
> "sourceId.type" : "file"
> }
> } ]
> }
> } ],
> "_cache" : true
> }
> }
> }
> },
> "fields" : [ "elementId", "sourceId.id", "sourceId.type",
> "sourceId.sourceSystem", "sourceVersion", "content.name_enu" ]
> }
>
>
>
> Where as if I use the following query I get 5 results, same simple query
> strings but with function scores:
> {
> "query" : {
> "filtered" : {
> "query" : {
> "bool" : {
> "should" : [ {
> "function_score" : {
> "query" : {
> "simple_query_string" : {
> "query" : "128",
> "fields" : [ "content.name_enu.simple" ]
> }
> },
> "boost_factor" : 1.5
> }
> }, {
> "function_score" : {
> "query" : {
> "simple_query_string" : {
> "query" : "128",
> "fields" : [ "content.name_enu.simple_with_numeric" ]
> }
> },
> "boost_factor" : 2.5
> }
> } ]
> }
> },
> "filter" : {
> "bool" : {
> "must" : [ {
> "term" : {
> "securityInfo.securityType" : "open"
> }
> }, {
> "bool" : {
> "must" : [ {
> "term" : {
> "sourceId.sourceSystem" : "jmeter_007971_numeric"
> }
> }, {
> "term" : {
> "sourceId.type" : "file"
> }
> } ]
> }
> } ],
> "_cache" : true
> }
> }
> }
> },
> "fields" : [ "elementId", "sourceId.id", "sourceId.type",
> "sourceId.sourceSystem", "sourceVersion", "content.name_enu" ]
> }
>
>
>
> From my understanding of how the should clause works I was expecting both
> the queries to return 5 results but I am not able to understand why the 1st
> query returns me 2 results for my data set. The "content.name_enu.simple"
> uses a simple analyzer, whereas simple_with_numeric uses whitespace
> tokenizer and lowercase filter
>
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