Hello, Sergio. debug=query just displays what ToParentBlockJoinQuery.explain() yields. >From the beginning ToParentBlockJoinQuery.explain() lacks functionality regarding scroreMode that was fixed in Lucene some time ago https://github.com/apache/lucene/pull/12245. Perhaps the issue you encounter is fixed in a certain version of Solr which carries a fixed Lucene. It's just an idea. I'm not able to trace particular versions.
On Fri, Sep 29, 2023 at 3:28 PM Sergio García Maroto <marot...@gmail.com> wrote: > Hi team, > > Lately I have been using some ranking using blockjoin querries on nested > documents. > I haved added *score=total *to the queries which actually rings scores to > the parent. > When trying to understand results I see somwhow enabeling debug info only > return first or best match as you can see below. > Below results matchrd 17 children but only displays best match. Is it > possible to see the full debug information? > > Thanks > Regards, > Sergio Maroto > > <str name="8180777"> 239.1634 = sum of: 236.98985 = sum of: 236.98985 = > Score based on *17 child docs in range from 80573436 to 80573514, best > match:* 224.95201 = sum of: 224.5116 = sum of: 0.35355338 = > weight(FunctionListFreeTextNS:finance in 315379) [SchemaSimilarity], result > of: 0.35355338 = score(freq=1.0), product of: 1.0 = idf, computed as > log((docCount+1)/(docFreq+1)) + 1 from: 34343 = docFreq, number of > documents containing term 259843 = docCount, total number of documents with > field 1.0 = tf(freq=1.0), with freq of: 1.0 = freq, occurrences of term > within document 0.35355338 = fieldNorm 224.15805 = sum of: 7.071068 = > weight(FunctionListFreeTextNS:finance in 315379) [SchemaSimilarity], result > of: 7.071068 = score(freq=1.0), product of: 20.0 = boost 1.0 = idf, > computed as log((docCount+1)/(docFreq+1)) + 1 from: 34343 = docFreq, number > of documents containing term 259843 = docCount, total number of documents > with field 1.0 = tf(freq=1.0), with freq of: 1.0 = freq, occurrences of > term within document 0.35355338 = fieldNorm 14.353563 = weight(CurrentNSD:T > in 315379) [SchemaSimilarity], result of: 14.353563 = score(freq=1.0), > computed as boost * idf * tf from: 20.0 = boost 1.578892 = idf, computed as > log(1 + (N - n + 0.5) / (n + 0.5)) from: 7128118 = n, number of documents > containing term 34568376 = N, total number of documents with field > 0.45454544 = tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) > from: 1.0 = freq, occurrences of term within document 1.2 = k1, term > saturation parameter 0.75 = b, length normalization parameter 1.0 = dl, > length of field 1.0 = avgdl, average length of field 2.7334156 = > weight(PrimaryNS:T in 315379) [SchemaSimilarity], result of: 2.7334156 = > score(freq=1.0), computed as boost * idf * tf from: 20.0 = boost 0.30067572 > = idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: 22841134 = n, > number of documents containing term 30853147 = N, total number of documents > with field 0.45454544 = tf, computed as freq / (freq + k1 * (1 - b + b * dl > / avgdl)) from: 1.0 = freq, occurrences of term within document 1.2 = k1, > term saturation parameter 0.75 = b, length normalization parameter 1.0 = > dl, length of field 1.0 = avgdl, average length of field 200.0 = sum of: > 200.0 = JobBucketND:[0 TO 3]^200.0 0.44041252 = weight(type_level:job in > 315379) [SchemaSimilarity], result of: 0.44041252 = score(freq=1.0), > computed as boost * idf * tf from: 0.9689076 = idf, computed as log(1 + (N > - n + 0.5) / (n + 0.5)) from: 30853147 = n, number of documents containing > term 81300026 = N, total number of documents with field 0.45454544 = tf, > computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: 1.0 = freq, > occurrences of term within document 1.2 = k1, term saturation parameter > 0.75 = b, length normalization parameter 1.0 = dl, length of field 1.0 = > avgdl, average length of field 2.173555 = sum of: 1.0 = sum of: 1.0 = *:* > 1.173555 = weight(type_level:parent in 315400) [SchemaSimilarity], result > of: 1.173555 = score(freq=1.0), computed as boost * idf * tf from: > 2.5818212 = idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: > 6149219 = n, number of documents containing term 81300026 = N, total number > of documents with field 0.45454544 = tf, computed as freq / (freq + k1 * (1 > - b + b * dl / avgdl)) from: 1.0 = freq, occurrences of term within > document 1.2 = k1, term saturation parameter 0.75 = b, length normalization > parameter 1.0 = dl, length of field 1.0 = avgdl, average length of field </ > str> > -- Sincerely yours Mikhail Khludnev
