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Posted to dev@lucene.apache.org by "Alexandre Rafalovitch (JIRA)" <ji...@apache.org> on 2018/07/03 00:59:00 UTC

[jira] [Closed] (SOLR-12323) Missing explain information

     [ https://issues.apache.org/jira/browse/SOLR-12323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexandre Rafalovitch closed SOLR-12323.
----------------------------------------

> Missing explain information
> ---------------------------
>
>                 Key: SOLR-12323
>                 URL: https://issues.apache.org/jira/browse/SOLR-12323
>             Project: Solr
>          Issue Type: Bug
>      Security Level: Public(Default Security Level. Issues are Public) 
>    Affects Versions: 7.3
>            Reporter: Stefan Langenmaier
>            Priority: Major
>
> We have a problem in Solr 7.3 with the explain field when the edismax query parser is used with the boost parameter.
> To reproduce the issue I created a collection "mycollection" with the default configset and indexed the following csv data:
> {code:java}
> title_txt,rating_i
> mytext,2
> {code}
> When I issue the following query to analyse the computation of the score
> [http://localhost:8983/solr/mycollection/select?boost=rating_i&defType=edismax&fl=*,score,[explain]&q=title_txt:mytext]
>  
> I receive the following response:
> {code:java}
> {
>   "responseHeader":{
>     "status":0,
>     "QTime":3,
>     "params":{
>       "q":"title_txt:mytext",
>       "defType":"edismax",
>       "fl":"*,score,[explain]",
>       "boost":"rating_i"}},
>   "response":{"numFound":1,"start":0,"maxScore":0.5753642,"docs":[
>       {
>         "title_txt":["mytext"],
>         "rating_i":2,
>         "id":"3a7299dc-9628-403b-935b-0ddf17e74897",
>         "_version_":1599803310411350016,
>         "score":0.5753642,
>         "[explain]":"0.5753642 = product of:\n  1.0 = boost\n  0.5753642 = boost(int(rating_i))\n"}]
>   }}
> {code}
> The explain no longer contains all the information of the score. For comparison with Solr 7.2.1 but otherwise the same setup the output looks like this:
> {code:java}
> {
>   "responseHeader":{
>     "status":0,
>     "QTime":3,
>     "params":{
>       "q":"title_txt:mytext",
>       "defType":"edismax",
>       "fl":"*,score,[explain]",
>       "boost":"rating_i"}},
>   "response":{"numFound":1,"start":0,"maxScore":0.5753642,"docs":[
>       {
>         "title_txt":["mytext"],
>         "rating_i":2,
>         "id":"747b9102-0566-4786-a155-87fac10388cc",
>         "_version_":1599803926880714752,
>         "score":0.5753642,
>         "[explain]":"0.5753642 = boost(title_txt:mytext,int(rating_i)), product of:\n  0.2876821 = weight(title_txt:mytext in 0) [SchemaSimilarity], result of:\n    0.2876821 = score(doc=0,freq=1.0 = termFreq=1.0\n), product of:\n      0.2876821 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:\n        1.0 = docFreq\n        1.0 = docCount\n      1.0 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:\n        1.0 = termFreq=1.0\n        1.2 = parameter k1\n        0.75 = parameter b\n        1.0 = avgFieldLength\n        1.0 = fieldLength\n  2.0 = int(rating_i)=2\n"}]
>   }}
> {code}
> When the boost parameter gets remove Solr 7.3 also show the calculation again:
> {code:java}
> {
>   "responseHeader":{
>     "status":0,
>     "QTime":1,
>     "params":{
>       "q":"title_txt:mytext",
>       "defType":"edismax",
>       "fl":"*,score,[explain]"}},
>   "response":{"numFound":1,"start":0,"maxScore":0.2876821,"docs":[
>       {
>         "title_txt":["mytext"],
>         "rating_i":2,
>         "id":"3a7299dc-9628-403b-935b-0ddf17e74897",
>         "_version_":1599803310411350016,
>         "score":0.2876821,
>         "[explain]":"0.2876821 = weight(title_txt:mytext in 0) [SchemaSimilarity], result of:\n  0.2876821 = score(doc=0,freq=1.0 = termFreq=1.0\n), product of:\n    0.2876821 = idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:\n      1.0 = docFreq\n      1.0 = docCount\n    1.0 = tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:\n      1.0 = termFreq=1.0\n      1.2 = parameter k1\n      0.75 = parameter b\n      1.0 = avgFieldLength\n      1.0 = fieldLength\n"}]
>   }}
> {code}



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