You might try with a less "fraught" search phrase, "to be or not to be" is a classic query that may be all stop words.
Otherwise, I'm clueless. On Wed, Nov 23, 2011 at 3:15 PM, Ariel Zerbib <ariel.zer...@gmail.com> wrote: > I tested with the version 4.0-2011-11-04_09-29-42. > > Ariel > > > 2011/11/17 Erick Erickson <erickerick...@gmail.com> > >> Hmmm, I'm not seeing similar behavior on a trunk from today, when did >> you get your copy? >> >> Erick >> >> On Wed, Nov 16, 2011 at 2:06 PM, Ariel Zerbib <ariel.zer...@gmail.com> >> wrote: >> > Hi, >> > >> > For this term proximity query: ab_main_title_l0:"to be or not to be"~1000 >> > >> > >> http://localhost:8888/solr/select?q=ab_main_title_l0%3A%22og54ct8n+to+be+or+not+to+be+5w8ojsx2%22~1000&sort=score+desc&start=0&rows=3&fl=ab_main_title_l0%2Cscore%2Cid&debugQuery=true<http://localhost:8888/solr/select?q=ab_main_title_l0%3A%22og54ct8n+to+be+or+not+to+be+5w8ojsx2%22%7E1000&sort=score+desc&start=0&rows=3&fl=ab_main_title_l0%2Cscore%2Cid&debugQuery=true> >> > >> > The third first results are the following one: >> > >> > <?xml version="1.0" encoding="UTF-8"?> >> > <response> >> > <lst name="responseHeader"> >> > <int name="status">0</int> >> > <int name="QTime">5</int> >> > </lst> >> > <result name="response" numFound="318" start="0" maxScore="3.0814114"> >> > <doc> >> > <long name="id">2315190010001021</long> >> > <arr name="ab_main_title_l0"> >> > <str>og54ct8n To be or not to be a Jew. 5w8ojsx2</str> >> > </arr> >> > <float name="score">3.0814114</float></doc> >> > <doc> >> > <long name="id">2313006480001021</long> >> > <arr name="ab_main_title_l0"> >> > <str>og54ct8n To be or not to be 5w8ojsx2</str> >> > </arr> >> > <float name="score">3.0814114</float></doc> >> > <doc> >> > <long name="id">2356410250001021</long> >> > <arr name="ab_main_title_l0"> >> > <str>og54ct8n Rumspringa : to be or not to be Amish / 5w8ojsx2</str> >> > </arr> >> > <float name="score">3.0814114</float></doc> >> > </result> >> > <lst name="debug"> >> > <str name="rawquerystring">ab_main_title_l0:"og54ct8n to be or not to be >> > 5w8ojsx2"~1000</str> >> > <str name="querystring">ab_main_title_l0:"og54ct8n to be or not to be >> > 5w8ojsx2"~1000</str> >> > <str name="parsedquery">PhraseQuery(ab_main_title_l0:"og54ct8n to be or >> > not to be 5w8ojsx2"~1000)</str> >> > <str name="parsedquery_toString">ab_main_title_l0:"og54ct8n to be or not >> > to be 5w8ojsx2"~1000</str> >> > <lst name="explain"> >> > <str name="2315190010001021"> >> > 5.337161 = (MATCH) weight(ab_main_title_l0:"og54ct8n to be or not to be >> > 5w8ojsx2"~1000 in 378403) [DefaultSimilarity], result of: >> > 5.337161 = fieldWeight in 378403, product of: >> > 0.57735026 = tf(freq=0.33333334), with freq of: >> > 0.33333334 = phraseFreq=0.33333334 >> > 29.581549 = idf(), sum of: >> > 1.0012436 = idf(docFreq=3297332, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 4.3826413 = idf(docFreq=112108, maxDocs=3301436) >> > 6.3982043 = idf(docFreq=14937, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 1.0017256 = idf(docFreq=3295743, maxDocs=3301436) >> > 0.3125 = fieldNorm(doc=378403) >> > </str> >> > <str name="2313006480001021"> >> > 9.244234 = (MATCH) weight(ab_main_title_l0:"og54ct8n to be or not to be >> > 5w8ojsx2"~1000 in 482807) [DefaultSimilarity], result of: >> > 9.244234 = fieldWeight in 482807, product of: >> > 1.0 = tf(freq=1.0), with freq of: >> > 1.0 = phraseFreq=1.0 >> > 29.581549 = idf(), sum of: >> > 1.0012436 = idf(docFreq=3297332, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 4.3826413 = idf(docFreq=112108, maxDocs=3301436) >> > 6.3982043 = idf(docFreq=14937, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 1.0017256 = idf(docFreq=3295743, maxDocs=3301436) >> > 0.3125 = fieldNorm(doc=482807) >> > </str> >> > <str name="2356410250001021"> >> > 5.337161 = (MATCH) weight(ab_main_title_l0:"og54ct8n to be or not to be >> > 5w8ojsx2"~1000 in 1317563) [DefaultSimilarity], result of: >> > 5.337161 = fieldWeight in 1317563, product of: >> > 0.57735026 = tf(freq=0.33333334), with freq of: >> > 0.33333334 = phraseFreq=0.33333334 >> > 29.581549 = idf(), sum of: >> > 1.0012436 = idf(docFreq=3297332, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 4.3826413 = idf(docFreq=112108, maxDocs=3301436) >> > 6.3982043 = idf(docFreq=14937, maxDocs=3301436) >> > 3.0405464 = idf(docFreq=429046, maxDocs=3301436) >> > 5.3583193 = idf(docFreq=42257, maxDocs=3301436) >> > 1.0017256 = idf(docFreq=3295743, maxDocs=3301436) >> > 0.3125 = fieldNorm(doc=1317563) >> > </str> >> > </response> >> > >> > The used version is a 4.0 October snapshot. >> > >> > I have 2 questions about the result: >> > - Why debug print and scores in result are different? >> > - What is the expected behavior of this kind of term proximity query? >> > - The debug scores seem to be well ordered but the result scores >> > seem to be wrong. >> > >> > >> > Thanks, >> > Ariel >> > >> >
