Norms stay in the index even if you delete all of the data. If you just
changed the schema, emptied the index, and tested again, you've still
got norms in there.
You can examine the index with Luke to verify this.
On 07/09/2013 08:57 PM, William Bell wrote:
I have a field that has omitNorms=true, but when I look at debugQuery I see
that
the field is being normalized for the score.
What can I do to turn off normalization in the score?
I want a simple way to do 2 things:
boost geodist() highest at 1 mile and lowest at 100 miles.
plus add a boost for a query=edgefield^5.
I only want tf() and no queryNorm. I am not even sure I want idf() but I
can probably live with rare names being boosted.
The results are being normalized. See below. I tried dismax and edismax -
bf, bq and boost.
<requestHandler name="autoproviderdist" class="solr.SearchHandler">
<lst name="defaults">
<str name="echoParams">none</str>
<str name="defType">edismax</str>
<float name="tie">0.01</float>
<str name="fl">
display_name,city_state,prov_url,pwid,city_state_alternative
</str>
<!--
<str name="bq">_val_:"sum(recip(geodist(store_geohash), .5, 6, 6),
0.1)"^10</str>
-->
<str name="boost">sum(recip(geodist(store_geohash), .5, 6, 6), 0.1)</str>
<int name="rows">5</int>
<str name="q.alt">*:*</str>
<str name="qf">name_edgy^.9 name_edge^.9 name_word</str>
<str name="group">true</str>
<str name="group.field">pwid</str>
<str name="group.main">true</str>
<!-- <str name="pf">name_edgy</str> do not turn on -->
<str name="sort">score desc, last_name asc</str>
<str name="d">100</str>
<str name="pt">39.740112,-104.984856</str>
<str name="sfield">store_geohash</str>
<str name="hl">false</str>
<str name="hl.fl">name_edgy</str>
<str name="mm">2<-1 4<-2 6<-3</str>
</lst>
</requestHandler>
0.058555886 = queryNorm
product of: 10.854807 = (MATCH) sum of: 1.8391232 = (MATCH) max plus 0.01
times others of: 1.8214592 = (MATCH) weight(name_edge:paul^0.9 in 231378),
product of: 0.30982485 = queryWeight(name_edge:paul^0.9), product of: 0.9 =
boost 5.8789964 = idf(docFreq=26567, maxDocs=3493655)* 0.058555886 =
queryNorm* 5.8789964 = (MATCH) fieldWeight(name_edge:paul in 231378),
product of: 1.0 = tf(termFreq(name_edge:paul)=1) 5.8789964 =
idf(docFreq=26567, maxDocs=3493655) 1.0 = fieldNorm(field=name_edge,
doc=231378) 1.7664119 = (MATCH) weight(name_edgy:paul^0.9 in 231378),
product of: 0.30510724 = queryWeight(name_edgy:paul^0.9), product of: 0.9 =
boost 5.789479 = idf(docFreq=29055, maxDocs=3493655)* 0.058555886 =
queryNorm* 5.789479 = (MATCH) fieldWeight(name_edgy:paul in 231378),
product of: 1.0 = tf(termFreq(name_edgy:paul)=1) 5.789479 =
idf(docFreq=29055, maxDocs=3493655) 1.0 = fieldNorm(field=name_edgy,
doc=231378) 9.015684 = (MATCH) max plus 0.01 times others of: 8.9352665 =
(MATCH) weight(name_word:nutting in 231378), product of: 0.72333425 =
queryWeight(name_word:nutting), product of: 12.352887 = idf(docFreq=40,
maxDocs=3493655) 0.058555886 = queryNorm 12.352887 = (MATCH)
fieldWeight(name_word:nutting in 231378), product of: 1.0 =
tf(termFreq(name_word:nutting)=1) 12.352887 = idf(docFreq=40,
maxDocs=3493655) 1.0 = fieldNorm(field=name_word, doc=231378) 8.04174 =
(MATCH) weight(name_edgy:nutting^0.9 in 231378), product of: 0.65100086 =
queryWeight(name_edgy:nutting^0.9), product of: 0.9 = boost 12.352887 =
idf(docFreq=40, maxDocs=3493655)* 0.058555886 = queryNorm* 12.352887 =
(MATCH) fieldWeight(name_edgy:nutting in 231378), product of: 1.0 =
tf(termFreq(name_edgy:nutting)=1) 12.352887 = idf(docFreq=40,
maxDocs=3493655) 1.0 = fieldNorm(field=name_edgy, doc=231378) 1.0855998 =
sum(6.0/(0.5*float(geodist(39.74168747663498,-104.9849385023117,39.740112,-104.984856))+6.0),const(0.1))
