Chris Pilsworth created SOLR-5929:
-------------------------------------
Summary: Solrj QueryResponse results not presented in proper score
order
Key: SOLR-5929
URL: https://issues.apache.org/jira/browse/SOLR-5929
Project: Solr
Issue Type: Bug
Components: clients - java
Affects Versions: 4.6.1
Environment: Windows 7, Java 7
Reporter: Chris Pilsworth
It would appear that the results collection is sorting on the score as a string
where there is an exponent.
When searching for a term that returns two documents, one with a significantly
smaller score than the other the results are returned *correctly* from solr
directly.
{code:json}
{
responseHeader: {
status: 0,
QTime: 69,
params: {
q: "sausages",
indent: "true",
fl: "id, inv_text_summary, score",
wt: "json",
debugQuery: "true"
}
},
response: {
numFound: 2,
start: 0,
maxScore: 0.0012368863,
docs: [
{
inv_text_summary: "Contrary to popular belief, Lorem sausages
sausages sausages sausagesIpsum is not simply random text. It has roots in a
piece of classical Latin literature from 45 BC, making it over 2000 years old.
Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia,
looked up one of the ...",
id:
"/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm2",
score: 0.0012368863
},
{
inv_text_summary: "Contrary to sausages belief, Lorem Ipsum is
not simply random text. It has roots in a piece of classical Latin literature
from 45 BC, making it over 2000 years old. Richard McClintock, a Latin
professor at Hampden-Sydney College in Virginia, looked up one of the more
obscure Latin words, consecte...",
id:
"/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm1",
score: 0.0006184431
}
]
},
debug: {
rawquerystring: "sausages",
querystring: "sausages",
parsedquery: "(+DisjunctionMaxQuery((inv_path:sausages |
inv_h1:sausages^8.0 | inv_text_summary:sausages^2.0 | inv_title:sausages^18.0 |
inv_h2:sausages^6.0 | inv_h3:sausages^4.0 | inv_text:sausages)~1.0) () () () ()
() () ())/no_coord",
parsedquery_toString: "+(inv_path:sausages | inv_h1:sausages^8.0 |
inv_text_summary:sausages^2.0 | inv_title:sausages^18.0 | inv_h2:sausages^6.0 |
inv_h3:sausages^4.0 | inv_text:sausages)~1.0 () () () () () () ()",
explain: {
/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm2: "
0.0012368863 = (MATCH) sum of: 0.0012368863 = (MATCH) max plus 1.0 times others
of: 0.0012368863 = (MATCH) weight(inv_text:sausages in 0) [DefaultSimilarity],
result of: 0.0012368863 = score(doc=0,freq=4.0 = termFreq=4.0 ), product of:
0.016643414 = queryWeight, product of: 0.5945349 = idf(docFreq=2, maxDocs=2)
0.027994009 = queryNorm 0.07431686 = fieldWeight in 0, product of: 2.0 =
tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 0.5945349 = idf(docFreq=2,
maxDocs=2) 0.0625 = fieldNorm(doc=0) ",
/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm1: "
6.184431E-4 = (MATCH) sum of: 6.184431E-4 = (MATCH) max plus 1.0 times others
of: 6.184431E-4 = (MATCH) weight(inv_text:sausages in 0) [DefaultSimilarity],
result of: 6.184431E-4 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of:
0.016643414 = queryWeight, product of: 0.5945349 = idf(docFreq=2, maxDocs=2)
0.027994009 = queryNorm 0.03715843 = fieldWeight in 0, product of: 1.0 =
tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 0.5945349 = idf(docFreq=2,
maxDocs=2) 0.0625 = fieldNorm(doc=0) "
},
QParser: "ExtendedDismaxQParser",
altquerystring: null,
boost_queries: null,
parsed_boost_queries: [
],
boostfuncs: null,
timing: {
time: 69,
prepare: {
time: 14,
query: {
time: 14
},
facet: {
time: 0
},
mlt: {
time: 0
},
highlight: {
time: 0
},
stats: {
time: 0
},
debug: {
time: 0
}
},
process: {
time: 55,
query: {
time: 0
},
facet: {
time: 0
},
mlt: {
time: 0
},
highlight: {
time: 0
},
stats: {
time: 0
},
debug: {
time: 55
}
}
}
}
}
However, when read through the solrj client, the document with the lower score
is presented first. This could be as the lower score (0.0006184431) is
expressed as 6.184431E-4.
The QueryResponse.toString looks like this.
{code}
{responseHeader={status=0,QTime=2156,params={q=sausages,hl.useFastVectorHighlighter=true,facet.field=[inv_investecContentType,
inv_investecCategory],qt=/selectmin,hl=true,start=0,sort=inv_desktopPageTitleSort
asc,id
asc,rows=5,facet=true,wt=javabin,version=2,debugQuery=true}},response={numFound=2,start=0,maxScore=0.0012368863,docs=[SolrDocument{inv_text_summary=Contrary
to sausages belief, Lorem Ipsum is not simply random text. It has roots in a
piece of classical Latin literature from 45 BC, making it over 2000 years old.
Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia,
looked up one of the more obscure Latin words, consecte...,
inv_title=[multiterm1 - Investec Specialist Bank],
inv_customContentTypes=[#1:COMMON#2:#3:#4:#5:[]#6:#7:[]#8:[]],
id=/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm1,
inv_created=Thu Mar 27 12:54:34 CET 2014, inv_contentProcessed=Thu Mar 27
12:59:04 CET 2014, inv_desktopPageTitle=multiterm1,
inv_mobilePageTitle=multiterm1, inv_lastModified=Thu Mar 27 12:57:48 CET 2014,
score=6.184431E-4}, SolrDocument{inv_text_summary=Contrary to popular belief,
Lorem sausages sausages sausages sausagesIpsum is not simply random text. It
has roots in a piece of classical Latin literature from 45 BC, making it over
2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College
in Virginia, looked up one of the ..., inv_title=[multiterm2 - Investec
Specialist Bank],
inv_customContentTypes=[#1:COMMON#2:#3:#4:#5:[]#6:#7:[]#8:[]],
id=/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm2,
inv_created=Thu Mar 27 12:54:42 CET 2014, inv_contentProcessed=Thu Mar 27
13:03:31 CET 2014, inv_desktopPageTitle=multiterm2,
inv_mobilePageTitle=multiterm2, inv_lastModified=Thu Mar 27 13:03:27 CET 2014,
score=0.0012368863}]},facet_counts={facet_queries={},facet_fields={inv_investecContentType={NONE=2},inv_investecCategory={NONE=2}},facet_dates={},facet_ranges={}},highlighting={/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm1={inv_text=[Contrary
to <b>sausages</b> belief, Lorem Ipsum is not simply random text. It has roots
in a piece of
classical]},/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm2={inv_text=[Contrary
to popular belief, Lorem <b>sausages</b> <b>sausages</b> <b>sausages</b>
<b>sausages</b>Ipsum is not simply random text.
It]}},debug={rawquerystring=sausages,querystring=sausages,parsedquery=(+DisjunctionMaxQuery((inv_path:sausages
| inv_h1:sausages^8.0 | inv_text_summary:sausages^2.0 |
inv_title:sausages^18.0 | inv_h2:sausages^6.0 | inv_h3:sausages^4.0 |
inv_text:sausages)~1.0) () () () () () ()
())/no_coord,parsedquery_toString=+(inv_path:sausages | inv_h1:sausages^8.0 |
inv_text_summary:sausages^2.0 | inv_title:sausages^18.0 | inv_h2:sausages^6.0 |
inv_h3:sausages^4.0 | inv_text:sausages)~1.0 () () () () () () (),explain=
{/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm1=
6.184431E-4 = (MATCH) sum of:
6.184431E-4 = (MATCH) max plus 1.0 times others of:
6.184431E-4 = (MATCH) weight(inv_text:sausages in 0) [DefaultSimilarity],
result of:
6.184431E-4 = score(doc=0,freq=1.0 = termFreq=1.0
), product of:
0.016643414 = queryWeight, product of:
0.5945349 = idf(docFreq=2, maxDocs=2)
0.027994009 = queryNorm
0.03715843 = fieldWeight in 0, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
0.5945349 = idf(docFreq=2, maxDocs=2)
0.0625 = fieldNorm(doc=0)
,/content/investec-qa/capital/en_gb/home/test_pages/test_page_2/multiterm2=
0.0012368863 = (MATCH) sum of:
0.0012368863 = (MATCH) max plus 1.0 times others of:
0.0012368863 = (MATCH) weight(inv_text:sausages in 0) [DefaultSimilarity],
result of:
0.0012368863 = score(doc=0,freq=4.0 = termFreq=4.0
), product of:
0.016643414 = queryWeight, product of:
0.5945349 = idf(docFreq=2, maxDocs=2)
0.027994009 = queryNorm
0.07431686 = fieldWeight in 0, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
0.5945349 = idf(docFreq=2, maxDocs=2)
0.0625 = fieldNorm(doc=0)
},QParser=ExtendedDismaxQParser,altquerystring=null,boost_queries=null,parsed_boost_queries=[],boostfuncs=null,timing={time=2155.0,prepare={time=143.0,query={time=143.0},facet={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},debug={time=0.0}},process={time=2012.0,query={time=119.0},facet={time=206.0},mlt={time=0.0},highlight={time=701.0},stats={time=0.0},debug={time=986.0}}}}}
{code}
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