After using MatchQuery and also trying TermQuery and FunctionScoreQuery I 
can say that Elasticsearch 
always produces NumericRangeQuery for numeric fields with boosting  (or 
even for all numeric queries ???). 
fieldName = oa , value = 1 , boost = 400
E.g. "oa":"1" --> "oa":[1 to 1]

As for MatchQuery and TermQuery the boosting is doubled. 
E.g. "oa:1^400" --> ConstantScore(oa:[1 TO 1]^400.0)^400.0

The FunctionScoreQuery also produces a NumericRangeQuery but can handle the 
boost.
E.g. "oa:1^400" --> ConstantScore(oa:[1 TO 1])  with  "value" : 400.0, 
"static boost factor"

By the way, this is how a working boosted numeric query should be (like in 
Solr):
"oa:1^400" --> (MATCH) weight(oa:`\b\u0000\u0000\u0000\u0001^400.0 in ...)

Regards
Bernd

Am Dienstag, 5. August 2014 09:19:18 UTC+2 schrieb Bernd Fehling:
>
>
> Currently I'm playing with Solr 4.6.1 and ES 1.0.2 which both use Lucene 
> 4.6.1.
> The field content of "oa" has very low cardinality, actually only one of 
> the values 0,1 or 2.
> Also, in Solr I have omitNorms=true because I don't want any index-time 
> boost or anything else, and the precisionStep is zero.
> Belief me, it works like a charm for years now with Solr and all is 100 
> percent compliant to Lucene, the problem is Elasticsearch.
>
> I just wanted to implement boost-query to my ES interface as it is in Solr 
> for years. For example the boost should be if oa=1.
> I don't know why I should deal with huge function score query if I just 
> want an extra boost during the query (selectable by the user).
>
> It seams like ES is not 100 Percent Lucene conform because it is not using 
> omitNorms=true on numeric fields :-(
> The issue you mentioned is years ago and also fixed.
>
> Nevertheless the boosting problem of ES is somewhere in the QueryParsers 
> which transforms the result of QueryBuilders
> to a Lucene query.
>
>
> Am Montag, 4. August 2014 18:57:11 UTC+2 schrieb Jörg Prante:
>>
>> Because integer fields have no norms, it is quite uncommon to use them 
>> for boosting. More common is the use for interpreting integer values as 
>> input for scoring algorithm with function score.
>>
>> Which Solr version is this? Solr did not follow the Lucene default in 
>> previous versions regarding integer boosting 
>> https://issues.apache.org/jira/browse/SOLR-3140
>>
>> Jörg
>>
>>
>>
>>

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