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Posted to solr-user@lucene.apache.org by kumar gaurav <kg...@gmail.com> on 2020/01/21 10:37:25 UTC
Solr 8.0 Json Facets are slow - need help
HI
i have a parent child query in which i have used json facet for child
faceting like following.
qt=/dismax
matchAllQueryRef1=+(+({!query v=$cq}))
sq=+{!lucene v=$matchAllQueryRef1}
q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
child.fq={!tag=rcolor_refine}filter({!term f=color_refine
v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
qcolor_refine1=Blue
qcolor_refine2=Other clrs
cq=+{!simpleFilter v=docType:sku}
pq=docType:(product)
facet=true
facet.mincount=1
facet.limit=-1
facet.missing=false
json.facet= {color_refine:{
domain:{
filter:["{!filters param=$child.fq excludeTags=rcolor_refine
v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
},
type:terms,
field:color_refine,
limit:-1,
facet:{productsCount:"uniqueBlock(_root_)"}}}
schema :-
<field name="color_refine" type="string" indexed="true" stored="true"
multiValued="true" docValues="true"/>
i have observed that json facets are slow . It is taking much time than
expected .
Can anyone please check this query specially child.fq and json.facet part .
Please help me in this .
Thanks & regards
Kumar Gaurav
Re: Solr 8.0 Json Facets are slow - need help
Posted by Mikhail Khludnev <mk...@apache.org>.
Hello, Kumar.
I don't know. 3 / 84 ratio seems reasonable. The only unknown part of the
equation was that {!simpleFilter}. Anyway, profiler/sampler might get exact
answer.
On Fri, Jan 24, 2020 at 8:55 AM kumar gaurav <kg...@gmail.com> wrote:
> HI Mikhail
>
> Can you please see above debug log and help ?
>
> Thanks
>
>
> On Thu, Jan 23, 2020 at 12:05 AM kumar gaurav <kg...@gmail.com> wrote:
>
> > Also
> >
> > its not looks like box is slow . because for following query prepare time
> > is 3 ms but facet time is 84ms on the same box .Don't know why prepare
> time
> > was huge for that example :( .
> >
> > debug:
> > {
> >
> > - rawquerystring:
> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> > - querystring:
> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> > - parsedquery:
> > "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku +store_873:1)
> #color_refine:Blue #size_refine:L))"
> > ,
> > - parsedquery_toString:
> > "ToParentBlockJoinQuery (+(+docType:sku +store_873:1)
> #color_refine:Blue #size_refine:L)"
> > ,
> > - explain:
> > {
> > - 1729659: "
> > 2.0 = Score based on 2 child docs in range from 5103808 to
> 5104159, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 4059732)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 4059732)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 1730320: "
> > 2.0 = Score based on 1 child docs in range from 5099889 to
> 5100070, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 4055914)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 4055914)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 1730721: "
> > 2.0 = Score based on 4 child docs in range from 5097552 to
> 5097808, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 4053487)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 4053487)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 1759239: "
> > 2.0 = Score based on 1 child docs in range from 5061166 to
> 5061231, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 4017096)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 4017096)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 1762846: "
> > 2.0 = Score based on 7 child docs in range from 5053673 to
> 5054166, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 4009815)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 4009815)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2375187: "
> > 2.0 = Score based on 2 child docs in range from 6144094 to
> 6144129, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 5100007)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 5100007)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2822828: "
> > 2.0 = Score based on 5 child docs in range from 3945003 to
> 3945944, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2901192)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2901192)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2901997: "
> > 2.0 = Score based on 1 child docs in range from 2264206 to
> 2264225, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1220113)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1220113)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2950743: "
> > 2.0 = Score based on 2 child docs in range from 2116590 to
> 2116693, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1072526)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1072526)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2968102: "
> > 2.0 = Score based on 1 child docs in range from 4480530 to
> 4480651, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3436527)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3436527)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 2979874: "
> > 2.0 = Score based on 5 child docs in range from 4438922 to
> 4439185, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3394837)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3394837)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3230325: "
> > 2.0 = Score based on 1 child docs in range from 4820870 to
> 4820887, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3776763)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3776763)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3237751: "
> > 2.0 = Score based on 1 child docs in range from 4793203 to
> 4793272, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3749148)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3749148)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3243768: "
> > 2.0 = Score based on 2 child docs in range from 4772802 to
> 4772935, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3728762)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3728762)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3294119: "
> > 2.0 = Score based on 2 child docs in range from 4599327 to
> 4599683, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 3555548)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 3555548)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3332137: "
> > 2.0 = Score based on 4 child docs in range from 3118405 to
> 3118686, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2074319)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2074319)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3332202: "
> > 2.0 = Score based on 2 child docs in range from 3117958 to
> 3118254, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2073864)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2073864)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3351461: "
> > 2.0 = Score based on 2 child docs in range from 3049568 to
> 3049774, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2005579)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2005579)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3360921: "
> > 2.0 = Score based on 1 child docs in range from 3013023 to
> 3013193, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1969059)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1969059)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3398447: "
> > 2.0 = Score based on 1 child docs in range from 2869334 to
> 2869452, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1825271)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1825271)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3509904: "
> > 2.0 = Score based on 2 child docs in range from 1835931 to
> 1836087, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 791837)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 791837)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3567749: "
> > 2.0 = Score based on 2 child docs in range from 3422682 to
> 3422754, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2378598)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2378598)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3576416: "
> > 2.0 = Score based on 2 child docs in range from 3400293 to
> 3400385, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2356188)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2356188)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3581445: "
> > 2.0 = Score based on 1 child docs in range from 3381748 to
> 3381782, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2337646)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2337646)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3582955: "
> > 2.0 = Score based on 1 child docs in range from 3378628 to
> 3378707, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2334530)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2334530)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3590608: "
> > 2.0 = Score based on 1 child docs in range from 3355870 to
> 3355935, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2311785)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2311785)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3598130: "
> > 2.0 = Score based on 1 child docs in range from 3324606 to
> 3324650, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2280519)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2280519)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3600915: "
> > 2.0 = Score based on 3 child docs in range from 3312338 to
> 3312433, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2268233)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2268233)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3634047: "
> > 2.0 = Score based on 2 child docs in range from 3204774 to
> 3205003, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2160756)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2160756)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3641200: "
> > 2.0 = Score based on 1 child docs in range from 3187935 to
> 3188029, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2143834)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2143834)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3649065: "
> > 2.0 = Score based on 3 child docs in range from 3161034 to
> 3161133, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2116948)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2116948)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3674970: "
> > 2.0 = Score based on 3 child docs in range from 3765599 to
> 3765916, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2721591)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2721591)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3679791: "
> > 2.0 = Score based on 2 child docs in range from 3748243 to
> 3748297, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2704137)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2704137)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3690906: "
> > 2.0 = Score based on 6 child docs in range from 3720815 to
> 3721009, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2676733)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2676733)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3691282: "
> > 2.0 = Score based on 5 child docs in range from 3718964 to
> 3719039, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2674859)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2674859)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3713456: "
> > 2.0 = Score based on 1 child docs in range from 3646854 to
> 3647045, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2602765)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2602765)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3718053: "
> > 2.0 = Score based on 1 child docs in range from 3639518 to
> 3639577, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2595410)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2595410)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3721932: "
> > 2.0 = Score based on 1 child docs in range from 3623696 to
> 3623846, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2579662)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2579662)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3727577: "
> > 2.0 = Score based on 6 child docs in range from 3612166 to
> 3612351, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2568077)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2568077)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3737099: "
> > 2.0 = Score based on 4 child docs in range from 3592250 to
> 3592393, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2548138)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2548138)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3741572: "
> > 2.0 = Score based on 1 child docs in range from 3580926 to
> 3581069, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2536830)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2536830)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3754468: "
> > 2.0 = Score based on 1 child docs in range from 3536253 to
> 3536324, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2492160)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2492160)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3762347: "
> > 2.0 = Score based on 1 child docs in range from 3510631 to
> 3510756, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2466525)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2466525)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3773621: "
> > 2.0 = Score based on 2 child docs in range from 3469096 to
> 3469197, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 2424998)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 2424998)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3775186: "
> > 2.0 = Score based on 1 child docs in range from 2770510 to
> 2770593, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1726420)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1726420)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3785688: "
> > 2.0 = Score based on 2 child docs in range from 2736848 to
> 2736961, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1692741)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1692741)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3785704: "
> > 2.0 = Score based on 3 child docs in range from 2736712 to
> 2736789, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1692630)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1692630)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3810965: "
> > 2.0 = Score based on 1 child docs in range from 2669795 to
> 2669836, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1625704)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1625704)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3819499: "
> > 2.0 = Score based on 1 child docs in range from 2553409 to
> 2553462, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1509310)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1509310)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3836990: "
> > 2.0 = Score based on 1 child docs in range from 2491736 to
> 2491951, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1447730)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1447730)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3837166: "
> > 2.0 = Score based on 4 child docs in range from 2491070 to
> 2491189, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1446965)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1446965)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3854028: "
> > 2.0 = Score based on 1 child docs in range from 2448711 to
> 2448763, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 1404610)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 1404610)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3864239: "
> > 2.0 = Score based on 2 child docs in range from 1371546 to
> 1371581, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 327438)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 327438)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3873419: "
> > 2.0 = Score based on 2 child docs in range from 1345917 to
> 1346120, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 301899)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 301899)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3874715: "
> > 2.0 = Score based on 1 child docs in range from 1341696 to
> 1341731, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 297605)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 297605)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3893661: "
> > 2.0 = Score based on 2 child docs in range from 1287720 to
> 1287779, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 243630)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 243630)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3894145: "
> > 2.0 = Score based on 2 child docs in range from 1286211 to
> 1286258, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 242101)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 242101)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3899204: "
> > 2.0 = Score based on 3 child docs in range from 1272538 to
> 1272585, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 228427)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 228427)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3920179: "
> > 2.0 = Score based on 2 child docs in range from 1204690 to
> 1204725, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 160585)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 160585)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > - 3967303: "
> > 2.0 = Score based on 1 child docs in range from 1079322 to
> 1079351, best match:
> > 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> > 1.0 = store_873:1 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(color_refine:Blue in 35226)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm 0.0 = match on required clause,
> product of:
> > 0.0 = # clause
> > 1.0 = weight(size_refine:L in 35226)
> [DisabledStatisticsSimilarity], result of:
> > 1.0 = score(freq=1.0), product of:
> > 1.0 = idf(docFreq, docCount)
> > 1 = docFreq, number of documents containing term
> > 1 = docCount, total number of documents with field
> > 1.0 = tf(freq=1.0), with freq of:
> > 1.0 = freq, occurrences of term within document
> > 1.0 = fieldNorm ",
> > },
> > - facet-trace:
> > {
> > - processor: "FacetQueryProcessor",
> > - elapse: 84,
> > - query: null,
> > - domainSize: 10941,
> > - sub-facet:
> > [
> > -
> > {
> > - processor: "FacetQueryProcessor",
> > - elapse: 84,
> > - query:
> > [
> > -
> > "org.apache.lucene.search.BooleanClause:++(+(+docType:sku
> +store_873:1))"
> > ],
> > - domainSize: 10941,
> > - sub-facet:
> > [
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 5,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 9,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 1,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 1,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 1,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 1,
> > - query: null,
> > - domainSize: 694835,
> > },
> > -
> > {
> > - filter: "+(+(+(+docType:sku +store_873:1)))",
> > - processor: "FacetQueryProcessor",
> > - elapse: 1,
> > - query: null,
> > - domainSize: 694835,
> > },
> > ],
> > }
> > ],
> > },
> > - facet-debug:
> > {},
> > - json:
> > {},
> > - QParser: "BlockJoinParentQParser",
> > - filter_queries:
> > [
> > - "{!tag=top2}(*:* -pvgc:true)",
> > - "{!tag=rdepartment}({!term f=department v=$qdepartment})",
> > - "{!tag=top3}{!query v=$eligibleCollections}",
> > - "{!tag=top3}{!query v=$eligibleCollections}",
> > ],
> > - parsed_filter_queries:
> > [
> > - "MatchAllDocsQuery(*:*) -pvgc:true",
> > - "department:Clothing",
> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> 1]))"
> > ,
> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> 1]))"
> > ,
> > ],
> > - timing:
> > {
> > - time: 301,
> > - prepare:
> > {
> > - time: 4,
> > - query:
> > {
> > - time: 3
> > },
> > - facet:
> > {
> > - time: 0
> > },
> > - facet_module:
> > {
> > - time: 0
> > },
> > - mlt:
> > {
> > - time: 0
> > },
> > - highlight:
> > {
> > - time: 0
> > },
> > - stats:
> > {
> > - time: 0
> > },
> > - expand:
> > {
> > - time: 0
> > },
> > - terms:
> > {
> > - time: 0
> > },
> > - debug:
> > {
> > - time: 0
> > },
> > },
> > - process:
> > {
> > - time: 297,
> > - query:
> > {
> > - time: 24
> > },
> > - facet:
> > {
> > - time: 5
> > },
> > - facet_module:
> > {
> > - time: 84
> > },
> > - mlt:
> > {
> > - time: 0
> > },
> > - highlight:
> > {
> > - time: 0
> > },
> > - stats:
> > {
> > - time: 0
> > },
> > - expand:
> > {
> > - time: 0
> > },
> > - terms:
> > {
> > - time: 0
> > },
> > - debug:
> > {
> > - time: 182
> > },
> > },
> > },
> >
> > },
> >
> > On Wed, Jan 22, 2020 at 11:45 PM kumar gaurav <kg...@gmail.com> wrote:
> >
> >> Lots of thanks Mikhail.
> >>
> >> Also can you please answer - Should i use docValues="true" for _root_
> >> field to improve this json.facet performance ?
> >>
> >> On Wed, Jan 22, 2020 at 11:42 PM Mikhail Khludnev <mk...@apache.org>
> >> wrote:
> >>
> >>> Initial request refers unknown (to me) query parser {!simpleFilter, I
> >>> can't comment on it.
> >>> Parsing queries took in millis: - time: 261, usually prepare for query
> >>> takes a moment. I suspect the box is really slow per se or encounter
> >>> heavy
> >>> load.
> >>> And then facets took about 6 times more - facet_module: { - time:
> >>> 1122,
> >>> that a reasonable ratio.
> >>> I also notice limit: -1 that's really expensive usually. If tweaking
> >>> can't
> >>> help, only profiling might give a clue.
> >>> Note: in 8.5 there will be uniqueBlockQuery() operation, which is
> >>> expected
> >>> to be faster than uniqueBlock()
> >>>
> >>> On Wed, Jan 22, 2020 at 5:36 PM kumar gaurav <kg...@gmail.com> wrote:
> >>>
> >>> > HI Mikhail
> >>> >
> >>> > Here is full debug log . Please have a look .
> >>> >
> >>> > debug:
> >>> > {
> >>> >
> >>> > - rawquerystring:
> >>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> >>> > - querystring:
> >>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> >>> > - parsedquery:
> >>> > "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
> >>> > +(store_873:1)^0.0) #(filter(color_refine:Black)
> >>> > filter(color_refine:Blue))))"
> >>> > ,
> >>> > - parsedquery_toString:
> >>> > "ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
> >>> > #(filter(color_refine:Black) filter(color_refine:Blue)))"
> >>> > ,
> >>> > - explain:
> >>> > {
> >>> > - 5172: "
> >>> > 1.0 = Score based on 240 child docs in range from 2572484 to
> >>> > 2573162, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 5178: "
> >>> > 1.0 = Score based on 304 child docs in range from 2571860 to
> >>> > 2572404, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 9301: "
> >>> > 1.0 = Score based on 93 child docs in range from 710150 to
> >>> > 710796, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 118561: "
> >>> > 1.0 = Score based on 177 child docs in range from 5728215 to
> >>> > 5728505, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 266659: "
> >>> > 1.0 = Score based on 89 child docs in range from 5368923 to
> >>> > 5369396, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 323407: "
> >>> > 1.0 = Score based on 321 child docs in range from 4807493 to
> >>> > 4808441, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 381312: "
> >>> > 1.0 = Score based on 232 child docs in range from 2660717 to
> >>> > 2661101, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 851246: "
> >>> > 1.0 = Score based on 61 child docs in range from 730259 to
> >>> > 730562, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1564330: "
> >>> > 1.0 = Score based on 12 child docs in range from 6831792 to
> >>> > 6832154, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1695762: "
> >>> > 1.0 = Score based on 157 child docs in range from 5155397 to
> >>> > 5156414, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1728758: "
> >>> > 1.0 = Score based on 4 child docs in range from 5108617 to
> >>> > 5108632, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1730721: "
> >>> > 1.0 = Score based on 34 child docs in range from 5097552 to
> >>> > 5097808, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1731442: "
> >>> > 1.0 = Score based on 60 child docs in range from 5094932 to
> >>> > 5095562, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1731513: "
> >>> > 1.0 = Score based on 45 child docs in range from 5093701 to
> >>> > 5094098, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1732190: "
> >>> > 1.0 = Score based on 25 child docs in range from 5087456 to
> >>> > 5087663, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1944597: "
> >>> > 1.0 = Score based on 14 child docs in range from 310637 to
> >>> > 310761, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 1989834: "
> >>> > 1.0 = Score based on 761 child docs in range from 276442 to
> >>> > 277686, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2375536: "
> >>> > 1.0 = Score based on 79 child docs in range from 6142157 to
> >>> > 6142944, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2616122: "
> >>> > 1.0 = Score based on 19 child docs in range from 5489872 to
> >>> > 5490024, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2689457: "
> >>> > 1.0 = Score based on 13 child docs in range from 5309377 to
> >>> > 5309538, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2784916: "
> >>> > 1.0 = Score based on 24 child docs in range from 4040314 to
> >>> > 4040401, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2817779: "
> >>> > 1.0 = Score based on 28 child docs in range from 3958922 to
> >>> > 3960019, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2861368: "
> >>> > 1.0 = Score based on 22 child docs in range from 2381681 to
> >>> > 2381809, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2873186: "
> >>> > 1.0 = Score based on 3 child docs in range from 2349642 to
> >>> > 2349702, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 2946661: "
> >>> > 1.0 = Score based on 32 child docs in range from 2127883 to
> >>> > 2128109, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3022498: "
> >>> > 1.0 = Score based on 70 child docs in range from 4301041 to
> >>> > 4301652, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3040746: "
> >>> > 1.0 = Score based on 140 child docs in range from 4237473 to
> >>> > 4238188, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3084682: "
> >>> > 1.0 = Score based on 4 child docs in range from 1669672 to
> >>> > 1669707, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3085032: "
> >>> > 1.0 = Score based on 3 child docs in range from 1667821 to
> >>> > 1667844, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3091571: "
> >>> > 1.0 = Score based on 24 child docs in range from 1646924 to
> >>> > 1647331, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3404073: "
> >>> > 1.0 = Score based on 9 child docs in range from 2852367 to
> >>> > 2852436, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3417777: "
> >>> > 1.0 = Score based on 6 child docs in range from 2805995 to
> >>> > 2806022, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3438255: "
> >>> > 1.0 = Score based on 2 child docs in range from 2051209 to
> >>> > 2051210, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3478728: "
> >>> > 1.0 = Score based on 4 child docs in range from 1981328 to
> >>> > 1981344, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3583992: "
> >>> > 1.0 = Score based on 5 child docs in range from 3374843 to
> >>> > 3375002, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3589850: "
> >>> > 1.0 = Score based on 47 child docs in range from 3361030 to
> >>> > 3361178, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3665911: "
> >>> > 1.0 = Score based on 1 child docs in range from 3796838 to
> >>> > 3796840, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3665931: "
> >>> > 1.0 = Score based on 2 child docs in range from 3796740 to
> >>> > 3796744, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3674970: "
> >>> > 1.0 = Score based on 22 child docs in range from 3765599 to
> >>> > 3765916, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3681635: "
> >>> > 1.0 = Score based on 14 child docs in range from 3741477 to
> >>> > 3741644, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3719278: "
> >>> > 1.0 = Score based on 74 child docs in range from 3635161 to
> >>> > 3635475, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3721932: "
> >>> > 1.0 = Score based on 6 child docs in range from 3623696 to
> >>> > 3623846, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3746624: "
> >>> > 1.0 = Score based on 11 child docs in range from 3558822 to
> >>> > 3558917, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3770890: "
> >>> > 1.0 = Score based on 11 child docs in range from 3477177 to
> >>> > 3477278, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3776680: "
> >>> > 1.0 = Score based on 14 child docs in range from 2765582 to
> >>> > 2765659, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3781963: "
> >>> > 1.0 = Score based on 4 child docs in range from 2743197 to
> >>> > 2743227, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3785704: "
> >>> > 1.0 = Score based on 20 child docs in range from 2736712 to
> >>> > 2736789, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3800445: "
> >>> > 1.0 = Score based on 133 child docs in range from 2693268 to
> >>> > 2693522, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3804448: "
> >>> > 1.0 = Score based on 3 child docs in range from 2679999 to
> >>> > 2680028, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3829927: "
> >>> > 1.0 = Score based on 1 child docs in range from 2509568 to
> >>> > 2509568, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3831655: "
> >>> > 1.0 = Score based on 3 child docs in range from 2505494 to
> >>> > 2505499, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3845656: "
> >>> > 1.0 = Score based on 2 child docs in range from 2476141 to
> >>> > 2476152, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3854170: "
> >>> > 1.0 = Score based on 8 child docs in range from 2448313 to
> >>> > 2448442, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3870437: "
> >>> > 1.0 = Score based on 1 child docs in range from 1354370 to
> >>> > 1354373, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3876209: "
> >>> > 1.0 = Score based on 1 child docs in range from 1336247 to
> >>> > 1336247, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3876366: "
> >>> > 1.0 = Score based on 1 child docs in range from 1335318 to
> >>> > 1335318, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3893661: "
> >>> > 1.0 = Score based on 19 child docs in range from 1287720 to
> >>> > 1287779, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3894925: "
> >>> > 1.0 = Score based on 1 child docs in range from 1284318 to
> >>> > 1284318, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3911561: "
> >>> > 1.0 = Score based on 2 child docs in range from 1227763 to
> >>> > 1227768, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > - 3941974: "
> >>> > 1.0 = Score based on 1 child docs in range from 1145356 to
> >>> > 1145356, best match:
> >>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> >>> > 0.0 = ConstantScore(store_873:1)^0.0
> >>> > 0.0 = match on required clause, product of: 0.0 = #
> >>> clause
> >>> > 0.0 = sum of: 0.0 =
> >>> > ConstantScore(BitSetDocTopFilter)^0.0 "
> >>> > ,
> >>> > },
> >>> > - facet-trace:
> >>> > {
> >>> > - processor: "FacetQueryProcessor",
> >>> > - elapse: 1122,
> >>> > - query: null,
> >>> > - domainSize: 98155,
> >>> > - sub-facet:
> >>> > [
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 134,
> >>> > - field: "gender_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 11,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 159,
> >>> > - field: "color_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 14,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 128,
> >>> > - field: "sizeRange_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 18,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 131,
> >>> > - field: "material_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 223,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 132,
> >>> > - field: "ageAppropriate_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 6,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 138,
> >>> > - field: "price_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 9,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 147,
> >>> > - field: "size_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 2158,
> >>> > },
> >>> > -
> >>> > {
> >>> > - processor: "FacetFieldProcessorByArrayDV",
> >>> > - elapse: 149,
> >>> > - field: "inStoreOnline_refine",
> >>> > - limit: -1,
> >>> > - domainSize: 98155,
> >>> > - numBuckets: 3,
> >>> > },
> >>> > ],
> >>> > },
> >>> > - facet-debug:
> >>> > {
> >>> > - elapse: 29,
> >>> > - sub-facet:
> >>> > [
> >>> > -
> >>> > {
> >>> > - processor: "SimpleFacets",
> >>> > - elapse: 29,
> >>> > - action: "field facet",
> >>> > - maxThreads: 0,
> >>> > - sub-facet:
> >>> > [
> >>> > -
> >>> > {
> >>> > - elapse: 8,
> >>> > - requestedMethod: "not specified",
> >>> > - appliedMethod: "FC",
> >>> > - inputDocSetSize: 98155,
> >>> > - field: "brand",
> >>> > - numBuckets: 6304,
> >>> > },
> >>> > -
> >>> > {
> >>> > - elapse: 5,
> >>> > - requestedMethod: "not specified",
> >>> > - appliedMethod: "FC",
> >>> > - inputDocSetSize: 98155,
> >>> > - field: "product",
> >>> > - numBuckets: 1129,
> >>> > },
> >>> > -
> >>> > {
> >>> > - elapse: 5,
> >>> > - requestedMethod: "not specified",
> >>> > - appliedMethod: "FC",
> >>> > - inputDocSetSize: 98155,
> >>> > - field: "category",
> >>> > - numBuckets: 194,
> >>> > },
> >>> > -
> >>> > {
> >>> > - elapse: 5,
> >>> > - requestedMethod: "not specified",
> >>> > - appliedMethod: "FC",
> >>> > - inputDocSetSize: 98155,
> >>> > - field: "department",
> >>> > - numBuckets: 30,
> >>> > },
> >>> > -
> >>> > {
> >>> > - elapse: 4,
> >>> > - requestedMethod: "not specified",
> >>> > - appliedMethod: "FC",
> >>> > - inputDocSetSize: 98155,
> >>> > - field: "topRated",
> >>> > - numBuckets: 6,
> >>> > },
> >>> > ],
> >>> > }
> >>> > ],
> >>> > },
> >>> > - json:
> >>> > {
> >>> > - facet:
> >>> > {
> >>> > - gender_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> excludeTags=rgender_refine
> >>> > v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "gender_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - color_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> excludeTags=rcolor_refine
> >>> > v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "color_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - sizeRange_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> >>> > excludeTags=rsizeRange_refine v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "sizeRange_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - material_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> >>> > excludeTags=rmaterial_refine v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "material_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - ageAppropriate_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> >>> > excludeTags=rageAppropriate_refine v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "ageAppropriate_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - price_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> excludeTags=rprice_refine
> >>> > v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "price_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - size_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq excludeTags=rsize_refine
> >>> > v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "size_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > - inStoreOnline_refine:
> >>> > {
> >>> > - domain:
> >>> > {
> >>> > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > - filter:
> >>> > [
> >>> > -
> >>> > "{!filters param=$child.fq
> >>> > excludeTags=rinStoreOnline_refine v=$sq}"
> >>> > ,
> >>> > -
> >>> > "{!child of=$pq filters=$fq}docType:(product
> >>> > collection)",
> >>> > ],
> >>> > },
> >>> > - type: "terms",
> >>> > - field: "inStoreOnline_refine",
> >>> > - limit: -1,
> >>> > - facet:
> >>> > {
> >>> > - productsCount: "uniqueBlock(_root_)"
> >>> > },
> >>> > },
> >>> > }
> >>> > },
> >>> > - QParser: "BlockJoinParentQParser",
> >>> > - filter_queries:
> >>> > [
> >>> > - "{!tag=top2}(*:* -pvgc:true)",
> >>> > - "{!tag=top3}{!query v=$eligibleCollections}",
> >>> > - "{!tag=top3}{!query v=$eligibleCollections}",
> >>> > ],
> >>> > - parsed_filter_queries:
> >>> > [
> >>> > - "MatchAllDocsQuery(*:*) -pvgc:true",
> >>> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> >>> 1]))",
> >>> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> >>> 1]))",
> >>> > ],
> >>> > - timing:
> >>> > {
> >>> > - time: 1667,
> >>> > - prepare:
> >>> > {
> >>> > - time: 261,
> >>> > - query:
> >>> > {
> >>> > - time: 261
> >>> > },
> >>> > - facet:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - facet_module:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - mlt:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - highlight:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - stats:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - expand:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - terms:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - debug:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > },
> >>> > - process:
> >>> > {
> >>> > - time: 1405,
> >>> > - query:
> >>> > {
> >>> > - time: 79
> >>> > },
> >>> > - facet:
> >>> > {
> >>> > - time: 29
> >>> > },
> >>> > - facet_module:
> >>> > {
> >>> > - time: 1122
> >>> > },
> >>> > - mlt:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - highlight:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - stats:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - expand:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - terms:
> >>> > {
> >>> > - time: 0
> >>> > },
> >>> > - debug:
> >>> > {
> >>> > - time: 174
> >>> > },
> >>> > },
> >>> > },
> >>> >
> >>> >
> >>> >
> >>> >
> >>> >
> >>> > On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org>
> >>> wrote:
> >>> >
> >>> > > Screenshot didn't come though the list. That excerpt doesn't have
> any
> >>> > > informative numbers.
> >>> > >
> >>> > > On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com>
> >>> wrote:
> >>> > >
> >>> > > > Hi Mikhail
> >>> > > >
> >>> > > > Thanks for your reply . Please help me in this .
> >>> > > >
> >>> > > > Followings are the screenshot:-
> >>> > > >
> >>> > > > [image: image.png]
> >>> > > >
> >>> > > >
> >>> > > > [image: image.png]
> >>> > > >
> >>> > > >
> >>> > > > json facet debug Output:-
> >>> > > >
> >>> > > > json:
> >>> > > > {
> >>> > > >
> >>> > > > - facet:
> >>> > > > {
> >>> > > > - color_refine:
> >>> > > > {
> >>> > > > - domain:
> >>> > > > {
> >>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > > > - filter:
> >>> > > > [
> >>> > > > -
> >>> > > > "{!filters param=$child.fq
> excludeTags=rcolor_refine
> >>> > > v=$sq}"
> >>> > > > ,
> >>> > > > - "{!child of=$pq filters=$fq}docType:(product
> >>> > > collection)"
> >>> > > > ,
> >>> > > > ],
> >>> > > > },
> >>> > > > - type: "terms",
> >>> > > > - field: "color_refine",
> >>> > > > - limit: -1,
> >>> > > > - facet:
> >>> > > > {
> >>> > > > - productsCount: "uniqueBlock(_root_)"
> >>> > > > },
> >>> > > > },
> >>> > > > - size_refine:
> >>> > > > {
> >>> > > > - domain:
> >>> > > > {
> >>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
> >>> > > > - filter:
> >>> > > > [
> >>> > > > -
> >>> > > > "{!filters param=$child.fq
> excludeTags=rsize_refine
> >>> > > v=$sq}"
> >>> > > > ,
> >>> > > > - "{!child of=$pq filters=$fq}docType:(product
> >>> > > collection)"
> >>> > > > ,
> >>> > > > ],
> >>> > > > },
> >>> > > > - type: "terms",
> >>> > > > - field: "size_refine",
> >>> > > > - limit: -1,
> >>> > > > - facet:
> >>> > > > {
> >>> > > > - productsCount: "uniqueBlock(_root_)"
> >>> > > > },
> >>> > > > },
> >>> > > > }
> >>> > > >
> >>> > > > }
> >>> > > >
> >>> > > >
> >>> > > >
> >>> > > > regards
> >>> > > > Kumar Gaurav
> >>> > > >
> >>> > > >
> >>> > > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <
> mkhl@apache.org>
> >>> > > wrote:
> >>> > > >
> >>> > > >> Hi.
> >>> > > >> Can you share debugQuery=true output?
> >>> > > >>
> >>> > > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com>
> >>> > wrote:
> >>> > > >>
> >>> > > >> > HI
> >>> > > >> >
> >>> > > >> > i have a parent child query in which i have used json facet
> for
> >>> > child
> >>> > > >> > faceting like following.
> >>> > > >> >
> >>> > > >> > qt=/dismax
> >>> > > >> > matchAllQueryRef1=+(+({!query v=$cq}))
> >>> > > >> > sq=+{!lucene v=$matchAllQueryRef1}
> >>> > > >> > q={!parent tag=top which=$pq filters=$child.fq score=max
> v=$cq}
> >>> > > >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> >>> > > >> > v=$qcolor_refine1}) filter({!term f=color_refine
> >>> v=$qcolor_refine2})
> >>> > > >> > qcolor_refine1=Blue
> >>> > > >> > qcolor_refine2=Other clrs
> >>> > > >> > cq=+{!simpleFilter v=docType:sku}
> >>> > > >> > pq=docType:(product)
> >>> > > >> > facet=true
> >>> > > >> > facet.mincount=1
> >>> > > >> > facet.limit=-1
> >>> > > >> > facet.missing=false
> >>> > > >> > json.facet= {color_refine:{
> >>> > > >> > domain:{
> >>> > > >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> >>> > > >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> >>> > > >> > },
> >>> > > >> > type:terms,
> >>> > > >> > field:color_refine,
> >>> > > >> > limit:-1,
> >>> > > >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
> >>> > > >> >
> >>> > > >> > schema :-
> >>> > > >> > <field name="color_refine" type="string" indexed="true"
> >>> > stored="true"
> >>> > > >> > multiValued="true" docValues="true"/>
> >>> > > >> >
> >>> > > >> > i have observed that json facets are slow . It is taking much
> >>> time
> >>> > > than
> >>> > > >> > expected .
> >>> > > >> > Can anyone please check this query specially child.fq and
> >>> json.facet
> >>> > > >> part .
> >>> > > >> >
> >>> > > >> > Please help me in this .
> >>> > > >> >
> >>> > > >> > Thanks & regards
> >>> > > >> > Kumar Gaurav
> >>> > > >> >
> >>> > > >>
> >>> > > >>
> >>> > > >> --
> >>> > > >> Sincerely yours
> >>> > > >> Mikhail Khludnev
> >>> > > >>
> >>> > > >
> >>> > >
> >>> > > --
> >>> > > Sincerely yours
> >>> > > Mikhail Khludnev
> >>> > >
> >>> >
> >>>
> >>>
> >>> --
> >>> Sincerely yours
> >>> Mikhail Khludnev
> >>>
> >>
>
--
Sincerely yours
Mikhail Khludnev
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
HI Mikhail
Can you please see above debug log and help ?
Thanks
On Thu, Jan 23, 2020 at 12:05 AM kumar gaurav <kg...@gmail.com> wrote:
> Also
>
> its not looks like box is slow . because for following query prepare time
> is 3 ms but facet time is 84ms on the same box .Don't know why prepare time
> was huge for that example :( .
>
> debug:
> {
>
> - rawquerystring:
> "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> - querystring:
> "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> - parsedquery:
> "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku +store_873:1) #color_refine:Blue #size_refine:L))"
> ,
> - parsedquery_toString:
> "ToParentBlockJoinQuery (+(+docType:sku +store_873:1) #color_refine:Blue #size_refine:L)"
> ,
> - explain:
> {
> - 1729659: "
> 2.0 = Score based on 2 child docs in range from 5103808 to 5104159, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 4059732) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 4059732) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 1730320: "
> 2.0 = Score based on 1 child docs in range from 5099889 to 5100070, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 4055914) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 4055914) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 1730721: "
> 2.0 = Score based on 4 child docs in range from 5097552 to 5097808, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 4053487) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 4053487) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 1759239: "
> 2.0 = Score based on 1 child docs in range from 5061166 to 5061231, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 4017096) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 4017096) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 1762846: "
> 2.0 = Score based on 7 child docs in range from 5053673 to 5054166, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 4009815) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 4009815) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 2375187: "
> 2.0 = Score based on 2 child docs in range from 6144094 to 6144129, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 5100007) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 5100007) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 2822828: "
> 2.0 = Score based on 5 child docs in range from 3945003 to 3945944, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 2901192) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 2901192) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 2901997: "
> 2.0 = Score based on 1 child docs in range from 2264206 to 2264225, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 1220113) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 1220113) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 2950743: "
> 2.0 = Score based on 2 child docs in range from 2116590 to 2116693, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 1072526) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 1072526) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 2968102: "
> 2.0 = Score based on 1 child docs in range from 4480530 to 4480651, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 3436527) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 3436527) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
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> - 3674970: "
> 2.0 = Score based on 3 child docs in range from 3765599 to 3765916, best match:
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> - 3679791: "
> 2.0 = Score based on 2 child docs in range from 3748243 to 3748297, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> - 3690906: "
> 2.0 = Score based on 6 child docs in range from 3720815 to 3721009, best match:
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> 1 = docFreq, number of documents containing term
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> 1 = docFreq, number of documents containing term
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> 2.0 = Score based on 5 child docs in range from 3718964 to 3719039, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> 1 = docFreq, number of documents containing term
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> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
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> 1.0 = idf(docFreq, docCount)
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> - 3718053: "
> 2.0 = Score based on 1 child docs in range from 3639518 to 3639577, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> - 3721932: "
> 2.0 = Score based on 1 child docs in range from 3623696 to 3623846, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
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> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
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> - 3727577: "
> 2.0 = Score based on 6 child docs in range from 3612166 to 3612351, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 1.0 = idf(docFreq, docCount)
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> 1.0 = idf(docFreq, docCount)
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> - 3737099: "
> 2.0 = Score based on 4 child docs in range from 3592250 to 3592393, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
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> 1.0 = idf(docFreq, docCount)
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> - 3741572: "
> 2.0 = Score based on 1 child docs in range from 3580926 to 3581069, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 1.0 = idf(docFreq, docCount)
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> 1.0 = weight(size_refine:L in 2536830) [DisabledStatisticsSimilarity], result of:
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> 1.0 = idf(docFreq, docCount)
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> - 3754468: "
> 2.0 = Score based on 1 child docs in range from 3536253 to 3536324, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 1.0 = weight(size_refine:L in 2492160) [DisabledStatisticsSimilarity], result of:
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> 1.0 = idf(docFreq, docCount)
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> - 3762347: "
> 2.0 = Score based on 1 child docs in range from 3510631 to 3510756, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3773621: "
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> - 3775186: "
> 2.0 = Score based on 1 child docs in range from 2770510 to 2770593, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3785688: "
> 2.0 = Score based on 2 child docs in range from 2736848 to 2736961, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3785704: "
> 2.0 = Score based on 3 child docs in range from 2736712 to 2736789, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3810965: "
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> - 3819499: "
> 2.0 = Score based on 1 child docs in range from 2553409 to 2553462, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3836990: "
> 2.0 = Score based on 1 child docs in range from 2491736 to 2491951, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 2.0 = Score based on 4 child docs in range from 2491070 to 2491189, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> - 3854028: "
> 2.0 = Score based on 1 child docs in range from 2448711 to 2448763, best match:
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> 1.0 = store_873:1 0.0 = match on required clause, product of:
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> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3864239: "
> 2.0 = Score based on 2 child docs in range from 1371546 to 1371581, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 327438) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 327438) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3873419: "
> 2.0 = Score based on 2 child docs in range from 1345917 to 1346120, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 301899) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 301899) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3874715: "
> 2.0 = Score based on 1 child docs in range from 1341696 to 1341731, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 297605) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 297605) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3893661: "
> 2.0 = Score based on 2 child docs in range from 1287720 to 1287779, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 243630) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 243630) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3894145: "
> 2.0 = Score based on 2 child docs in range from 1286211 to 1286258, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 242101) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 242101) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3899204: "
> 2.0 = Score based on 3 child docs in range from 1272538 to 1272585, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 228427) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 228427) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3920179: "
> 2.0 = Score based on 2 child docs in range from 1204690 to 1204725, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 160585) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 160585) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> - 3967303: "
> 2.0 = Score based on 1 child docs in range from 1079322 to 1079351, best match:
> 2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
> 1.0 = store_873:1 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(color_refine:Blue in 35226) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm 0.0 = match on required clause, product of:
> 0.0 = # clause
> 1.0 = weight(size_refine:L in 35226) [DisabledStatisticsSimilarity], result of:
> 1.0 = score(freq=1.0), product of:
> 1.0 = idf(docFreq, docCount)
> 1 = docFreq, number of documents containing term
> 1 = docCount, total number of documents with field
> 1.0 = tf(freq=1.0), with freq of:
> 1.0 = freq, occurrences of term within document
> 1.0 = fieldNorm ",
> },
> - facet-trace:
> {
> - processor: "FacetQueryProcessor",
> - elapse: 84,
> - query: null,
> - domainSize: 10941,
> - sub-facet:
> [
> -
> {
> - processor: "FacetQueryProcessor",
> - elapse: 84,
> - query:
> [
> -
> "org.apache.lucene.search.BooleanClause:++(+(+docType:sku +store_873:1))"
> ],
> - domainSize: 10941,
> - sub-facet:
> [
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 5,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 9,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 1,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 1,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 1,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 1,
> - query: null,
> - domainSize: 694835,
> },
> -
> {
> - filter: "+(+(+(+docType:sku +store_873:1)))",
> - processor: "FacetQueryProcessor",
> - elapse: 1,
> - query: null,
> - domainSize: 694835,
> },
> ],
> }
> ],
> },
> - facet-debug:
> {},
> - json:
> {},
> - QParser: "BlockJoinParentQParser",
> - filter_queries:
> [
> - "{!tag=top2}(*:* -pvgc:true)",
> - "{!tag=rdepartment}({!term f=department v=$qdepartment})",
> - "{!tag=top3}{!query v=$eligibleCollections}",
> - "{!tag=top3}{!query v=$eligibleCollections}",
> ],
> - parsed_filter_queries:
> [
> - "MatchAllDocsQuery(*:*) -pvgc:true",
> - "department:Clothing",
> - "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))"
> ,
> - "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))"
> ,
> ],
> - timing:
> {
> - time: 301,
> - prepare:
> {
> - time: 4,
> - query:
> {
> - time: 3
> },
> - facet:
> {
> - time: 0
> },
> - facet_module:
> {
> - time: 0
> },
> - mlt:
> {
> - time: 0
> },
> - highlight:
> {
> - time: 0
> },
> - stats:
> {
> - time: 0
> },
> - expand:
> {
> - time: 0
> },
> - terms:
> {
> - time: 0
> },
> - debug:
> {
> - time: 0
> },
> },
> - process:
> {
> - time: 297,
> - query:
> {
> - time: 24
> },
> - facet:
> {
> - time: 5
> },
> - facet_module:
> {
> - time: 84
> },
> - mlt:
> {
> - time: 0
> },
> - highlight:
> {
> - time: 0
> },
> - stats:
> {
> - time: 0
> },
> - expand:
> {
> - time: 0
> },
> - terms:
> {
> - time: 0
> },
> - debug:
> {
> - time: 182
> },
> },
> },
>
> },
>
> On Wed, Jan 22, 2020 at 11:45 PM kumar gaurav <kg...@gmail.com> wrote:
>
>> Lots of thanks Mikhail.
>>
>> Also can you please answer - Should i use docValues="true" for _root_
>> field to improve this json.facet performance ?
>>
>> On Wed, Jan 22, 2020 at 11:42 PM Mikhail Khludnev <mk...@apache.org>
>> wrote:
>>
>>> Initial request refers unknown (to me) query parser {!simpleFilter, I
>>> can't comment on it.
>>> Parsing queries took in millis: - time: 261, usually prepare for query
>>> takes a moment. I suspect the box is really slow per se or encounter
>>> heavy
>>> load.
>>> And then facets took about 6 times more - facet_module: { - time:
>>> 1122,
>>> that a reasonable ratio.
>>> I also notice limit: -1 that's really expensive usually. If tweaking
>>> can't
>>> help, only profiling might give a clue.
>>> Note: in 8.5 there will be uniqueBlockQuery() operation, which is
>>> expected
>>> to be faster than uniqueBlock()
>>>
>>> On Wed, Jan 22, 2020 at 5:36 PM kumar gaurav <kg...@gmail.com> wrote:
>>>
>>> > HI Mikhail
>>> >
>>> > Here is full debug log . Please have a look .
>>> >
>>> > debug:
>>> > {
>>> >
>>> > - rawquerystring:
>>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
>>> > - querystring:
>>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
>>> > - parsedquery:
>>> > "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
>>> > +(store_873:1)^0.0) #(filter(color_refine:Black)
>>> > filter(color_refine:Blue))))"
>>> > ,
>>> > - parsedquery_toString:
>>> > "ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
>>> > #(filter(color_refine:Black) filter(color_refine:Blue)))"
>>> > ,
>>> > - explain:
>>> > {
>>> > - 5172: "
>>> > 1.0 = Score based on 240 child docs in range from 2572484 to
>>> > 2573162, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 5178: "
>>> > 1.0 = Score based on 304 child docs in range from 2571860 to
>>> > 2572404, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 9301: "
>>> > 1.0 = Score based on 93 child docs in range from 710150 to
>>> > 710796, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 118561: "
>>> > 1.0 = Score based on 177 child docs in range from 5728215 to
>>> > 5728505, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 266659: "
>>> > 1.0 = Score based on 89 child docs in range from 5368923 to
>>> > 5369396, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 323407: "
>>> > 1.0 = Score based on 321 child docs in range from 4807493 to
>>> > 4808441, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 381312: "
>>> > 1.0 = Score based on 232 child docs in range from 2660717 to
>>> > 2661101, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 851246: "
>>> > 1.0 = Score based on 61 child docs in range from 730259 to
>>> > 730562, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1564330: "
>>> > 1.0 = Score based on 12 child docs in range from 6831792 to
>>> > 6832154, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1695762: "
>>> > 1.0 = Score based on 157 child docs in range from 5155397 to
>>> > 5156414, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1728758: "
>>> > 1.0 = Score based on 4 child docs in range from 5108617 to
>>> > 5108632, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1730721: "
>>> > 1.0 = Score based on 34 child docs in range from 5097552 to
>>> > 5097808, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1731442: "
>>> > 1.0 = Score based on 60 child docs in range from 5094932 to
>>> > 5095562, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1731513: "
>>> > 1.0 = Score based on 45 child docs in range from 5093701 to
>>> > 5094098, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1732190: "
>>> > 1.0 = Score based on 25 child docs in range from 5087456 to
>>> > 5087663, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1944597: "
>>> > 1.0 = Score based on 14 child docs in range from 310637 to
>>> > 310761, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 1989834: "
>>> > 1.0 = Score based on 761 child docs in range from 276442 to
>>> > 277686, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2375536: "
>>> > 1.0 = Score based on 79 child docs in range from 6142157 to
>>> > 6142944, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2616122: "
>>> > 1.0 = Score based on 19 child docs in range from 5489872 to
>>> > 5490024, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2689457: "
>>> > 1.0 = Score based on 13 child docs in range from 5309377 to
>>> > 5309538, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2784916: "
>>> > 1.0 = Score based on 24 child docs in range from 4040314 to
>>> > 4040401, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2817779: "
>>> > 1.0 = Score based on 28 child docs in range from 3958922 to
>>> > 3960019, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2861368: "
>>> > 1.0 = Score based on 22 child docs in range from 2381681 to
>>> > 2381809, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2873186: "
>>> > 1.0 = Score based on 3 child docs in range from 2349642 to
>>> > 2349702, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 2946661: "
>>> > 1.0 = Score based on 32 child docs in range from 2127883 to
>>> > 2128109, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3022498: "
>>> > 1.0 = Score based on 70 child docs in range from 4301041 to
>>> > 4301652, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3040746: "
>>> > 1.0 = Score based on 140 child docs in range from 4237473 to
>>> > 4238188, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3084682: "
>>> > 1.0 = Score based on 4 child docs in range from 1669672 to
>>> > 1669707, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3085032: "
>>> > 1.0 = Score based on 3 child docs in range from 1667821 to
>>> > 1667844, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3091571: "
>>> > 1.0 = Score based on 24 child docs in range from 1646924 to
>>> > 1647331, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3404073: "
>>> > 1.0 = Score based on 9 child docs in range from 2852367 to
>>> > 2852436, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3417777: "
>>> > 1.0 = Score based on 6 child docs in range from 2805995 to
>>> > 2806022, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3438255: "
>>> > 1.0 = Score based on 2 child docs in range from 2051209 to
>>> > 2051210, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3478728: "
>>> > 1.0 = Score based on 4 child docs in range from 1981328 to
>>> > 1981344, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3583992: "
>>> > 1.0 = Score based on 5 child docs in range from 3374843 to
>>> > 3375002, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3589850: "
>>> > 1.0 = Score based on 47 child docs in range from 3361030 to
>>> > 3361178, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3665911: "
>>> > 1.0 = Score based on 1 child docs in range from 3796838 to
>>> > 3796840, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3665931: "
>>> > 1.0 = Score based on 2 child docs in range from 3796740 to
>>> > 3796744, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3674970: "
>>> > 1.0 = Score based on 22 child docs in range from 3765599 to
>>> > 3765916, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3681635: "
>>> > 1.0 = Score based on 14 child docs in range from 3741477 to
>>> > 3741644, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3719278: "
>>> > 1.0 = Score based on 74 child docs in range from 3635161 to
>>> > 3635475, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3721932: "
>>> > 1.0 = Score based on 6 child docs in range from 3623696 to
>>> > 3623846, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3746624: "
>>> > 1.0 = Score based on 11 child docs in range from 3558822 to
>>> > 3558917, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3770890: "
>>> > 1.0 = Score based on 11 child docs in range from 3477177 to
>>> > 3477278, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3776680: "
>>> > 1.0 = Score based on 14 child docs in range from 2765582 to
>>> > 2765659, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3781963: "
>>> > 1.0 = Score based on 4 child docs in range from 2743197 to
>>> > 2743227, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3785704: "
>>> > 1.0 = Score based on 20 child docs in range from 2736712 to
>>> > 2736789, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3800445: "
>>> > 1.0 = Score based on 133 child docs in range from 2693268 to
>>> > 2693522, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3804448: "
>>> > 1.0 = Score based on 3 child docs in range from 2679999 to
>>> > 2680028, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3829927: "
>>> > 1.0 = Score based on 1 child docs in range from 2509568 to
>>> > 2509568, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3831655: "
>>> > 1.0 = Score based on 3 child docs in range from 2505494 to
>>> > 2505499, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3845656: "
>>> > 1.0 = Score based on 2 child docs in range from 2476141 to
>>> > 2476152, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3854170: "
>>> > 1.0 = Score based on 8 child docs in range from 2448313 to
>>> > 2448442, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3870437: "
>>> > 1.0 = Score based on 1 child docs in range from 1354370 to
>>> > 1354373, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3876209: "
>>> > 1.0 = Score based on 1 child docs in range from 1336247 to
>>> > 1336247, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3876366: "
>>> > 1.0 = Score based on 1 child docs in range from 1335318 to
>>> > 1335318, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3893661: "
>>> > 1.0 = Score based on 19 child docs in range from 1287720 to
>>> > 1287779, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3894925: "
>>> > 1.0 = Score based on 1 child docs in range from 1284318 to
>>> > 1284318, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3911561: "
>>> > 1.0 = Score based on 2 child docs in range from 1227763 to
>>> > 1227768, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > - 3941974: "
>>> > 1.0 = Score based on 1 child docs in range from 1145356 to
>>> > 1145356, best match:
>>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>>> > 0.0 = ConstantScore(store_873:1)^0.0
>>> > 0.0 = match on required clause, product of: 0.0 = #
>>> clause
>>> > 0.0 = sum of: 0.0 =
>>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>>> > ,
>>> > },
>>> > - facet-trace:
>>> > {
>>> > - processor: "FacetQueryProcessor",
>>> > - elapse: 1122,
>>> > - query: null,
>>> > - domainSize: 98155,
>>> > - sub-facet:
>>> > [
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 134,
>>> > - field: "gender_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 11,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 159,
>>> > - field: "color_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 14,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 128,
>>> > - field: "sizeRange_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 18,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 131,
>>> > - field: "material_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 223,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 132,
>>> > - field: "ageAppropriate_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 6,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 138,
>>> > - field: "price_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 9,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 147,
>>> > - field: "size_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 2158,
>>> > },
>>> > -
>>> > {
>>> > - processor: "FacetFieldProcessorByArrayDV",
>>> > - elapse: 149,
>>> > - field: "inStoreOnline_refine",
>>> > - limit: -1,
>>> > - domainSize: 98155,
>>> > - numBuckets: 3,
>>> > },
>>> > ],
>>> > },
>>> > - facet-debug:
>>> > {
>>> > - elapse: 29,
>>> > - sub-facet:
>>> > [
>>> > -
>>> > {
>>> > - processor: "SimpleFacets",
>>> > - elapse: 29,
>>> > - action: "field facet",
>>> > - maxThreads: 0,
>>> > - sub-facet:
>>> > [
>>> > -
>>> > {
>>> > - elapse: 8,
>>> > - requestedMethod: "not specified",
>>> > - appliedMethod: "FC",
>>> > - inputDocSetSize: 98155,
>>> > - field: "brand",
>>> > - numBuckets: 6304,
>>> > },
>>> > -
>>> > {
>>> > - elapse: 5,
>>> > - requestedMethod: "not specified",
>>> > - appliedMethod: "FC",
>>> > - inputDocSetSize: 98155,
>>> > - field: "product",
>>> > - numBuckets: 1129,
>>> > },
>>> > -
>>> > {
>>> > - elapse: 5,
>>> > - requestedMethod: "not specified",
>>> > - appliedMethod: "FC",
>>> > - inputDocSetSize: 98155,
>>> > - field: "category",
>>> > - numBuckets: 194,
>>> > },
>>> > -
>>> > {
>>> > - elapse: 5,
>>> > - requestedMethod: "not specified",
>>> > - appliedMethod: "FC",
>>> > - inputDocSetSize: 98155,
>>> > - field: "department",
>>> > - numBuckets: 30,
>>> > },
>>> > -
>>> > {
>>> > - elapse: 4,
>>> > - requestedMethod: "not specified",
>>> > - appliedMethod: "FC",
>>> > - inputDocSetSize: 98155,
>>> > - field: "topRated",
>>> > - numBuckets: 6,
>>> > },
>>> > ],
>>> > }
>>> > ],
>>> > },
>>> > - json:
>>> > {
>>> > - facet:
>>> > {
>>> > - gender_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq excludeTags=rgender_refine
>>> > v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "gender_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - color_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq excludeTags=rcolor_refine
>>> > v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "color_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - sizeRange_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq
>>> > excludeTags=rsizeRange_refine v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "sizeRange_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - material_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq
>>> > excludeTags=rmaterial_refine v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "material_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - ageAppropriate_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq
>>> > excludeTags=rageAppropriate_refine v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "ageAppropriate_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - price_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq excludeTags=rprice_refine
>>> > v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "price_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - size_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq excludeTags=rsize_refine
>>> > v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "size_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > - inStoreOnline_refine:
>>> > {
>>> > - domain:
>>> > {
>>> > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > - filter:
>>> > [
>>> > -
>>> > "{!filters param=$child.fq
>>> > excludeTags=rinStoreOnline_refine v=$sq}"
>>> > ,
>>> > -
>>> > "{!child of=$pq filters=$fq}docType:(product
>>> > collection)",
>>> > ],
>>> > },
>>> > - type: "terms",
>>> > - field: "inStoreOnline_refine",
>>> > - limit: -1,
>>> > - facet:
>>> > {
>>> > - productsCount: "uniqueBlock(_root_)"
>>> > },
>>> > },
>>> > }
>>> > },
>>> > - QParser: "BlockJoinParentQParser",
>>> > - filter_queries:
>>> > [
>>> > - "{!tag=top2}(*:* -pvgc:true)",
>>> > - "{!tag=top3}{!query v=$eligibleCollections}",
>>> > - "{!tag=top3}{!query v=$eligibleCollections}",
>>> > ],
>>> > - parsed_filter_queries:
>>> > [
>>> > - "MatchAllDocsQuery(*:*) -pvgc:true",
>>> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
>>> 1]))",
>>> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
>>> 1]))",
>>> > ],
>>> > - timing:
>>> > {
>>> > - time: 1667,
>>> > - prepare:
>>> > {
>>> > - time: 261,
>>> > - query:
>>> > {
>>> > - time: 261
>>> > },
>>> > - facet:
>>> > {
>>> > - time: 0
>>> > },
>>> > - facet_module:
>>> > {
>>> > - time: 0
>>> > },
>>> > - mlt:
>>> > {
>>> > - time: 0
>>> > },
>>> > - highlight:
>>> > {
>>> > - time: 0
>>> > },
>>> > - stats:
>>> > {
>>> > - time: 0
>>> > },
>>> > - expand:
>>> > {
>>> > - time: 0
>>> > },
>>> > - terms:
>>> > {
>>> > - time: 0
>>> > },
>>> > - debug:
>>> > {
>>> > - time: 0
>>> > },
>>> > },
>>> > - process:
>>> > {
>>> > - time: 1405,
>>> > - query:
>>> > {
>>> > - time: 79
>>> > },
>>> > - facet:
>>> > {
>>> > - time: 29
>>> > },
>>> > - facet_module:
>>> > {
>>> > - time: 1122
>>> > },
>>> > - mlt:
>>> > {
>>> > - time: 0
>>> > },
>>> > - highlight:
>>> > {
>>> > - time: 0
>>> > },
>>> > - stats:
>>> > {
>>> > - time: 0
>>> > },
>>> > - expand:
>>> > {
>>> > - time: 0
>>> > },
>>> > - terms:
>>> > {
>>> > - time: 0
>>> > },
>>> > - debug:
>>> > {
>>> > - time: 174
>>> > },
>>> > },
>>> > },
>>> >
>>> >
>>> >
>>> >
>>> >
>>> > On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org>
>>> wrote:
>>> >
>>> > > Screenshot didn't come though the list. That excerpt doesn't have any
>>> > > informative numbers.
>>> > >
>>> > > On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com>
>>> wrote:
>>> > >
>>> > > > Hi Mikhail
>>> > > >
>>> > > > Thanks for your reply . Please help me in this .
>>> > > >
>>> > > > Followings are the screenshot:-
>>> > > >
>>> > > > [image: image.png]
>>> > > >
>>> > > >
>>> > > > [image: image.png]
>>> > > >
>>> > > >
>>> > > > json facet debug Output:-
>>> > > >
>>> > > > json:
>>> > > > {
>>> > > >
>>> > > > - facet:
>>> > > > {
>>> > > > - color_refine:
>>> > > > {
>>> > > > - domain:
>>> > > > {
>>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > > > - filter:
>>> > > > [
>>> > > > -
>>> > > > "{!filters param=$child.fq excludeTags=rcolor_refine
>>> > > v=$sq}"
>>> > > > ,
>>> > > > - "{!child of=$pq filters=$fq}docType:(product
>>> > > collection)"
>>> > > > ,
>>> > > > ],
>>> > > > },
>>> > > > - type: "terms",
>>> > > > - field: "color_refine",
>>> > > > - limit: -1,
>>> > > > - facet:
>>> > > > {
>>> > > > - productsCount: "uniqueBlock(_root_)"
>>> > > > },
>>> > > > },
>>> > > > - size_refine:
>>> > > > {
>>> > > > - domain:
>>> > > > {
>>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
>>> > > > - filter:
>>> > > > [
>>> > > > -
>>> > > > "{!filters param=$child.fq excludeTags=rsize_refine
>>> > > v=$sq}"
>>> > > > ,
>>> > > > - "{!child of=$pq filters=$fq}docType:(product
>>> > > collection)"
>>> > > > ,
>>> > > > ],
>>> > > > },
>>> > > > - type: "terms",
>>> > > > - field: "size_refine",
>>> > > > - limit: -1,
>>> > > > - facet:
>>> > > > {
>>> > > > - productsCount: "uniqueBlock(_root_)"
>>> > > > },
>>> > > > },
>>> > > > }
>>> > > >
>>> > > > }
>>> > > >
>>> > > >
>>> > > >
>>> > > > regards
>>> > > > Kumar Gaurav
>>> > > >
>>> > > >
>>> > > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org>
>>> > > wrote:
>>> > > >
>>> > > >> Hi.
>>> > > >> Can you share debugQuery=true output?
>>> > > >>
>>> > > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com>
>>> > wrote:
>>> > > >>
>>> > > >> > HI
>>> > > >> >
>>> > > >> > i have a parent child query in which i have used json facet for
>>> > child
>>> > > >> > faceting like following.
>>> > > >> >
>>> > > >> > qt=/dismax
>>> > > >> > matchAllQueryRef1=+(+({!query v=$cq}))
>>> > > >> > sq=+{!lucene v=$matchAllQueryRef1}
>>> > > >> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
>>> > > >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
>>> > > >> > v=$qcolor_refine1}) filter({!term f=color_refine
>>> v=$qcolor_refine2})
>>> > > >> > qcolor_refine1=Blue
>>> > > >> > qcolor_refine2=Other clrs
>>> > > >> > cq=+{!simpleFilter v=docType:sku}
>>> > > >> > pq=docType:(product)
>>> > > >> > facet=true
>>> > > >> > facet.mincount=1
>>> > > >> > facet.limit=-1
>>> > > >> > facet.missing=false
>>> > > >> > json.facet= {color_refine:{
>>> > > >> > domain:{
>>> > > >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
>>> > > >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
>>> > > >> > },
>>> > > >> > type:terms,
>>> > > >> > field:color_refine,
>>> > > >> > limit:-1,
>>> > > >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
>>> > > >> >
>>> > > >> > schema :-
>>> > > >> > <field name="color_refine" type="string" indexed="true"
>>> > stored="true"
>>> > > >> > multiValued="true" docValues="true"/>
>>> > > >> >
>>> > > >> > i have observed that json facets are slow . It is taking much
>>> time
>>> > > than
>>> > > >> > expected .
>>> > > >> > Can anyone please check this query specially child.fq and
>>> json.facet
>>> > > >> part .
>>> > > >> >
>>> > > >> > Please help me in this .
>>> > > >> >
>>> > > >> > Thanks & regards
>>> > > >> > Kumar Gaurav
>>> > > >> >
>>> > > >>
>>> > > >>
>>> > > >> --
>>> > > >> Sincerely yours
>>> > > >> Mikhail Khludnev
>>> > > >>
>>> > > >
>>> > >
>>> > > --
>>> > > Sincerely yours
>>> > > Mikhail Khludnev
>>> > >
>>> >
>>>
>>>
>>> --
>>> Sincerely yours
>>> Mikhail Khludnev
>>>
>>
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
Also
its not looks like box is slow . because for following query prepare time
is 3 ms but facet time is 84ms on the same box .Don't know why prepare time
was huge for that example :( .
debug:
{
- rawquerystring:
"{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
- querystring:
"{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
- parsedquery:
"AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
+store_873:1) #color_refine:Blue #size_refine:L))"
,
- parsedquery_toString:
"ToParentBlockJoinQuery (+(+docType:sku +store_873:1)
#color_refine:Blue #size_refine:L)"
,
- explain:
{
- 1729659: "
2.0 = Score based on 2 child docs in range from 5103808 to
5104159, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 4059732)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 4059732)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 1730320: "
2.0 = Score based on 1 child docs in range from 5099889 to
5100070, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 4055914)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 4055914)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 1730721: "
2.0 = Score based on 4 child docs in range from 5097552 to
5097808, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 4053487)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 4053487)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 1759239: "
2.0 = Score based on 1 child docs in range from 5061166 to
5061231, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 4017096)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 4017096)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 1762846: "
2.0 = Score based on 7 child docs in range from 5053673 to
5054166, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 4009815)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 4009815)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2375187: "
2.0 = Score based on 2 child docs in range from 6144094 to
6144129, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 5100007)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 5100007)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2822828: "
2.0 = Score based on 5 child docs in range from 3945003 to
3945944, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 2901192)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 2901192)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2901997: "
2.0 = Score based on 1 child docs in range from 2264206 to
2264225, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 1220113)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 1220113)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2950743: "
2.0 = Score based on 2 child docs in range from 2116590 to
2116693, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 1072526)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 1072526)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2968102: "
2.0 = Score based on 1 child docs in range from 4480530 to
4480651, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 3436527)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 3436527)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 2979874: "
2.0 = Score based on 5 child docs in range from 4438922 to
4439185, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 3394837)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 3394837)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 3230325: "
2.0 = Score based on 1 child docs in range from 4820870 to
4820887, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 3776763)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
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- 3691282: "
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- 3713456: "
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- 3721932: "
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- 3727577: "
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- 3737099: "
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3592393, best match:
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- 3741572: "
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- 3754468: "
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- 3762347: "
2.0 = Score based on 1 child docs in range from 3510631 to
3510756, best match:
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- 3773621: "
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- 3775186: "
2.0 = Score based on 1 child docs in range from 2770510 to
2770593, best match:
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- 3785688: "
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2736961, best match:
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- 3785704: "
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2736789, best match:
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- 3810965: "
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2669836, best match:
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- 3819499: "
2.0 = Score based on 1 child docs in range from 2553409 to
2553462, best match:
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- 3836990: "
2.0 = Score based on 1 child docs in range from 2491736 to
2491951, best match:
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- 3837166: "
2.0 = Score based on 4 child docs in range from 2491070 to
2491189, best match:
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- 3854028: "
2.0 = Score based on 1 child docs in range from 2448711 to
2448763, best match:
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- 3864239: "
2.0 = Score based on 2 child docs in range from 1371546 to
1371581, best match:
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- 3873419: "
2.0 = Score based on 2 child docs in range from 1345917 to
1346120, best match:
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- 3874715: "
2.0 = Score based on 1 child docs in range from 1341696 to
1341731, best match:
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- 3893661: "
2.0 = Score based on 2 child docs in range from 1287720 to
1287779, best match:
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1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 243630)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 243630)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 3894145: "
2.0 = Score based on 2 child docs in range from 1286211 to
1286258, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 242101)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 242101)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 3899204: "
2.0 = Score based on 3 child docs in range from 1272538 to
1272585, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 228427)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 228427)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 3920179: "
2.0 = Score based on 2 child docs in range from 1204690 to
1204725, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 160585)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 160585)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
- 3967303: "
2.0 = Score based on 1 child docs in range from 1079322 to
1079351, best match:
2.0 = sum of: 2.0 = sum of: 1.0 = docType:sku
1.0 = store_873:1 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(color_refine:Blue in 35226)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm 0.0 = match on required clause, product of:
0.0 = # clause
1.0 = weight(size_refine:L in 35226)
[DisabledStatisticsSimilarity], result of:
1.0 = score(freq=1.0), product of:
1.0 = idf(docFreq, docCount)
1 = docFreq, number of documents containing term
1 = docCount, total number of documents with field
1.0 = tf(freq=1.0), with freq of:
1.0 = freq, occurrences of term within document
1.0 = fieldNorm ",
},
- facet-trace:
{
- processor: "FacetQueryProcessor",
- elapse: 84,
- query: null,
- domainSize: 10941,
- sub-facet:
[
-
{
- processor: "FacetQueryProcessor",
- elapse: 84,
- query:
[
-
"org.apache.lucene.search.BooleanClause:++(+(+docType:sku
+store_873:1))"
],
- domainSize: 10941,
- sub-facet:
[
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 5,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 9,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 1,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 1,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 1,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 1,
- query: null,
- domainSize: 694835,
},
-
{
- filter: "+(+(+(+docType:sku +store_873:1)))",
- processor: "FacetQueryProcessor",
- elapse: 1,
- query: null,
- domainSize: 694835,
},
],
}
],
},
- facet-debug:
{},
- json:
{},
- QParser: "BlockJoinParentQParser",
- filter_queries:
[
- "{!tag=top2}(*:* -pvgc:true)",
- "{!tag=rdepartment}({!term f=department v=$qdepartment})",
- "{!tag=top3}{!query v=$eligibleCollections}",
- "{!tag=top3}{!query v=$eligibleCollections}",
],
- parsed_filter_queries:
[
- "MatchAllDocsQuery(*:*) -pvgc:true",
- "department:Clothing",
- "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
- "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
],
- timing:
{
- time: 301,
- prepare:
{
- time: 4,
- query:
{
- time: 3
},
- facet:
{
- time: 0
},
- facet_module:
{
- time: 0
},
- mlt:
{
- time: 0
},
- highlight:
{
- time: 0
},
- stats:
{
- time: 0
},
- expand:
{
- time: 0
},
- terms:
{
- time: 0
},
- debug:
{
- time: 0
},
},
- process:
{
- time: 297,
- query:
{
- time: 24
},
- facet:
{
- time: 5
},
- facet_module:
{
- time: 84
},
- mlt:
{
- time: 0
},
- highlight:
{
- time: 0
},
- stats:
{
- time: 0
},
- expand:
{
- time: 0
},
- terms:
{
- time: 0
},
- debug:
{
- time: 182
},
},
},
},
On Wed, Jan 22, 2020 at 11:45 PM kumar gaurav <kg...@gmail.com> wrote:
> Lots of thanks Mikhail.
>
> Also can you please answer - Should i use docValues="true" for _root_
> field to improve this json.facet performance ?
>
> On Wed, Jan 22, 2020 at 11:42 PM Mikhail Khludnev <mk...@apache.org> wrote:
>
>> Initial request refers unknown (to me) query parser {!simpleFilter, I
>> can't comment on it.
>> Parsing queries took in millis: - time: 261, usually prepare for query
>> takes a moment. I suspect the box is really slow per se or encounter heavy
>> load.
>> And then facets took about 6 times more - facet_module: { - time: 1122,
>> that a reasonable ratio.
>> I also notice limit: -1 that's really expensive usually. If tweaking can't
>> help, only profiling might give a clue.
>> Note: in 8.5 there will be uniqueBlockQuery() operation, which is expected
>> to be faster than uniqueBlock()
>>
>> On Wed, Jan 22, 2020 at 5:36 PM kumar gaurav <kg...@gmail.com> wrote:
>>
>> > HI Mikhail
>> >
>> > Here is full debug log . Please have a look .
>> >
>> > debug:
>> > {
>> >
>> > - rawquerystring:
>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
>> > - querystring:
>> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
>> > - parsedquery:
>> > "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
>> > +(store_873:1)^0.0) #(filter(color_refine:Black)
>> > filter(color_refine:Blue))))"
>> > ,
>> > - parsedquery_toString:
>> > "ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
>> > #(filter(color_refine:Black) filter(color_refine:Blue)))"
>> > ,
>> > - explain:
>> > {
>> > - 5172: "
>> > 1.0 = Score based on 240 child docs in range from 2572484 to
>> > 2573162, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 5178: "
>> > 1.0 = Score based on 304 child docs in range from 2571860 to
>> > 2572404, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 9301: "
>> > 1.0 = Score based on 93 child docs in range from 710150 to
>> > 710796, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 118561: "
>> > 1.0 = Score based on 177 child docs in range from 5728215 to
>> > 5728505, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 266659: "
>> > 1.0 = Score based on 89 child docs in range from 5368923 to
>> > 5369396, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 323407: "
>> > 1.0 = Score based on 321 child docs in range from 4807493 to
>> > 4808441, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 381312: "
>> > 1.0 = Score based on 232 child docs in range from 2660717 to
>> > 2661101, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 851246: "
>> > 1.0 = Score based on 61 child docs in range from 730259 to
>> > 730562, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1564330: "
>> > 1.0 = Score based on 12 child docs in range from 6831792 to
>> > 6832154, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1695762: "
>> > 1.0 = Score based on 157 child docs in range from 5155397 to
>> > 5156414, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1728758: "
>> > 1.0 = Score based on 4 child docs in range from 5108617 to
>> > 5108632, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1730721: "
>> > 1.0 = Score based on 34 child docs in range from 5097552 to
>> > 5097808, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1731442: "
>> > 1.0 = Score based on 60 child docs in range from 5094932 to
>> > 5095562, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1731513: "
>> > 1.0 = Score based on 45 child docs in range from 5093701 to
>> > 5094098, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1732190: "
>> > 1.0 = Score based on 25 child docs in range from 5087456 to
>> > 5087663, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1944597: "
>> > 1.0 = Score based on 14 child docs in range from 310637 to
>> > 310761, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 1989834: "
>> > 1.0 = Score based on 761 child docs in range from 276442 to
>> > 277686, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2375536: "
>> > 1.0 = Score based on 79 child docs in range from 6142157 to
>> > 6142944, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2616122: "
>> > 1.0 = Score based on 19 child docs in range from 5489872 to
>> > 5490024, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2689457: "
>> > 1.0 = Score based on 13 child docs in range from 5309377 to
>> > 5309538, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2784916: "
>> > 1.0 = Score based on 24 child docs in range from 4040314 to
>> > 4040401, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2817779: "
>> > 1.0 = Score based on 28 child docs in range from 3958922 to
>> > 3960019, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2861368: "
>> > 1.0 = Score based on 22 child docs in range from 2381681 to
>> > 2381809, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2873186: "
>> > 1.0 = Score based on 3 child docs in range from 2349642 to
>> > 2349702, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 2946661: "
>> > 1.0 = Score based on 32 child docs in range from 2127883 to
>> > 2128109, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3022498: "
>> > 1.0 = Score based on 70 child docs in range from 4301041 to
>> > 4301652, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3040746: "
>> > 1.0 = Score based on 140 child docs in range from 4237473 to
>> > 4238188, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3084682: "
>> > 1.0 = Score based on 4 child docs in range from 1669672 to
>> > 1669707, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3085032: "
>> > 1.0 = Score based on 3 child docs in range from 1667821 to
>> > 1667844, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3091571: "
>> > 1.0 = Score based on 24 child docs in range from 1646924 to
>> > 1647331, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3404073: "
>> > 1.0 = Score based on 9 child docs in range from 2852367 to
>> > 2852436, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3417777: "
>> > 1.0 = Score based on 6 child docs in range from 2805995 to
>> > 2806022, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3438255: "
>> > 1.0 = Score based on 2 child docs in range from 2051209 to
>> > 2051210, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3478728: "
>> > 1.0 = Score based on 4 child docs in range from 1981328 to
>> > 1981344, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3583992: "
>> > 1.0 = Score based on 5 child docs in range from 3374843 to
>> > 3375002, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3589850: "
>> > 1.0 = Score based on 47 child docs in range from 3361030 to
>> > 3361178, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3665911: "
>> > 1.0 = Score based on 1 child docs in range from 3796838 to
>> > 3796840, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3665931: "
>> > 1.0 = Score based on 2 child docs in range from 3796740 to
>> > 3796744, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3674970: "
>> > 1.0 = Score based on 22 child docs in range from 3765599 to
>> > 3765916, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3681635: "
>> > 1.0 = Score based on 14 child docs in range from 3741477 to
>> > 3741644, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3719278: "
>> > 1.0 = Score based on 74 child docs in range from 3635161 to
>> > 3635475, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3721932: "
>> > 1.0 = Score based on 6 child docs in range from 3623696 to
>> > 3623846, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3746624: "
>> > 1.0 = Score based on 11 child docs in range from 3558822 to
>> > 3558917, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3770890: "
>> > 1.0 = Score based on 11 child docs in range from 3477177 to
>> > 3477278, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3776680: "
>> > 1.0 = Score based on 14 child docs in range from 2765582 to
>> > 2765659, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3781963: "
>> > 1.0 = Score based on 4 child docs in range from 2743197 to
>> > 2743227, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3785704: "
>> > 1.0 = Score based on 20 child docs in range from 2736712 to
>> > 2736789, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3800445: "
>> > 1.0 = Score based on 133 child docs in range from 2693268 to
>> > 2693522, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3804448: "
>> > 1.0 = Score based on 3 child docs in range from 2679999 to
>> > 2680028, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3829927: "
>> > 1.0 = Score based on 1 child docs in range from 2509568 to
>> > 2509568, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3831655: "
>> > 1.0 = Score based on 3 child docs in range from 2505494 to
>> > 2505499, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3845656: "
>> > 1.0 = Score based on 2 child docs in range from 2476141 to
>> > 2476152, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3854170: "
>> > 1.0 = Score based on 8 child docs in range from 2448313 to
>> > 2448442, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3870437: "
>> > 1.0 = Score based on 1 child docs in range from 1354370 to
>> > 1354373, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3876209: "
>> > 1.0 = Score based on 1 child docs in range from 1336247 to
>> > 1336247, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3876366: "
>> > 1.0 = Score based on 1 child docs in range from 1335318 to
>> > 1335318, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3893661: "
>> > 1.0 = Score based on 19 child docs in range from 1287720 to
>> > 1287779, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3894925: "
>> > 1.0 = Score based on 1 child docs in range from 1284318 to
>> > 1284318, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3911561: "
>> > 1.0 = Score based on 2 child docs in range from 1227763 to
>> > 1227768, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > - 3941974: "
>> > 1.0 = Score based on 1 child docs in range from 1145356 to
>> > 1145356, best match:
>> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
>> > 0.0 = ConstantScore(store_873:1)^0.0
>> > 0.0 = match on required clause, product of: 0.0 = #
>> clause
>> > 0.0 = sum of: 0.0 =
>> > ConstantScore(BitSetDocTopFilter)^0.0 "
>> > ,
>> > },
>> > - facet-trace:
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>> > - elapse: 1122,
>> > - query: null,
>> > - domainSize: 98155,
>> > - sub-facet:
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>> > -
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>> > - field: "color_refine",
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>> > },
>> > -
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>> > - facet-debug:
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>> > - prepare:
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>> > - query:
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>> > - time: 0
>> > },
>> > - highlight:
>> > {
>> > - time: 0
>> > },
>> > - stats:
>> > {
>> > - time: 0
>> > },
>> > - expand:
>> > {
>> > - time: 0
>> > },
>> > - terms:
>> > {
>> > - time: 0
>> > },
>> > - debug:
>> > {
>> > - time: 174
>> > },
>> > },
>> > },
>> >
>> >
>> >
>> >
>> >
>> > On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org>
>> wrote:
>> >
>> > > Screenshot didn't come though the list. That excerpt doesn't have any
>> > > informative numbers.
>> > >
>> > > On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com>
>> wrote:
>> > >
>> > > > Hi Mikhail
>> > > >
>> > > > Thanks for your reply . Please help me in this .
>> > > >
>> > > > Followings are the screenshot:-
>> > > >
>> > > > [image: image.png]
>> > > >
>> > > >
>> > > > [image: image.png]
>> > > >
>> > > >
>> > > > json facet debug Output:-
>> > > >
>> > > > json:
>> > > > {
>> > > >
>> > > > - facet:
>> > > > {
>> > > > - color_refine:
>> > > > {
>> > > > - domain:
>> > > > {
>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
>> > > > - filter:
>> > > > [
>> > > > -
>> > > > "{!filters param=$child.fq excludeTags=rcolor_refine
>> > > v=$sq}"
>> > > > ,
>> > > > - "{!child of=$pq filters=$fq}docType:(product
>> > > collection)"
>> > > > ,
>> > > > ],
>> > > > },
>> > > > - type: "terms",
>> > > > - field: "color_refine",
>> > > > - limit: -1,
>> > > > - facet:
>> > > > {
>> > > > - productsCount: "uniqueBlock(_root_)"
>> > > > },
>> > > > },
>> > > > - size_refine:
>> > > > {
>> > > > - domain:
>> > > > {
>> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
>> > > > - filter:
>> > > > [
>> > > > -
>> > > > "{!filters param=$child.fq excludeTags=rsize_refine
>> > > v=$sq}"
>> > > > ,
>> > > > - "{!child of=$pq filters=$fq}docType:(product
>> > > collection)"
>> > > > ,
>> > > > ],
>> > > > },
>> > > > - type: "terms",
>> > > > - field: "size_refine",
>> > > > - limit: -1,
>> > > > - facet:
>> > > > {
>> > > > - productsCount: "uniqueBlock(_root_)"
>> > > > },
>> > > > },
>> > > > }
>> > > >
>> > > > }
>> > > >
>> > > >
>> > > >
>> > > > regards
>> > > > Kumar Gaurav
>> > > >
>> > > >
>> > > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org>
>> > > wrote:
>> > > >
>> > > >> Hi.
>> > > >> Can you share debugQuery=true output?
>> > > >>
>> > > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com>
>> > wrote:
>> > > >>
>> > > >> > HI
>> > > >> >
>> > > >> > i have a parent child query in which i have used json facet for
>> > child
>> > > >> > faceting like following.
>> > > >> >
>> > > >> > qt=/dismax
>> > > >> > matchAllQueryRef1=+(+({!query v=$cq}))
>> > > >> > sq=+{!lucene v=$matchAllQueryRef1}
>> > > >> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
>> > > >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
>> > > >> > v=$qcolor_refine1}) filter({!term f=color_refine
>> v=$qcolor_refine2})
>> > > >> > qcolor_refine1=Blue
>> > > >> > qcolor_refine2=Other clrs
>> > > >> > cq=+{!simpleFilter v=docType:sku}
>> > > >> > pq=docType:(product)
>> > > >> > facet=true
>> > > >> > facet.mincount=1
>> > > >> > facet.limit=-1
>> > > >> > facet.missing=false
>> > > >> > json.facet= {color_refine:{
>> > > >> > domain:{
>> > > >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
>> > > >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
>> > > >> > },
>> > > >> > type:terms,
>> > > >> > field:color_refine,
>> > > >> > limit:-1,
>> > > >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
>> > > >> >
>> > > >> > schema :-
>> > > >> > <field name="color_refine" type="string" indexed="true"
>> > stored="true"
>> > > >> > multiValued="true" docValues="true"/>
>> > > >> >
>> > > >> > i have observed that json facets are slow . It is taking much
>> time
>> > > than
>> > > >> > expected .
>> > > >> > Can anyone please check this query specially child.fq and
>> json.facet
>> > > >> part .
>> > > >> >
>> > > >> > Please help me in this .
>> > > >> >
>> > > >> > Thanks & regards
>> > > >> > Kumar Gaurav
>> > > >> >
>> > > >>
>> > > >>
>> > > >> --
>> > > >> Sincerely yours
>> > > >> Mikhail Khludnev
>> > > >>
>> > > >
>> > >
>> > > --
>> > > Sincerely yours
>> > > Mikhail Khludnev
>> > >
>> >
>>
>>
>> --
>> Sincerely yours
>> Mikhail Khludnev
>>
>
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
Lots of thanks Mikhail.
Also can you please answer - Should i use docValues="true" for _root_
field to improve this json.facet performance ?
On Wed, Jan 22, 2020 at 11:42 PM Mikhail Khludnev <mk...@apache.org> wrote:
> Initial request refers unknown (to me) query parser {!simpleFilter, I
> can't comment on it.
> Parsing queries took in millis: - time: 261, usually prepare for query
> takes a moment. I suspect the box is really slow per se or encounter heavy
> load.
> And then facets took about 6 times more - facet_module: { - time: 1122,
> that a reasonable ratio.
> I also notice limit: -1 that's really expensive usually. If tweaking can't
> help, only profiling might give a clue.
> Note: in 8.5 there will be uniqueBlockQuery() operation, which is expected
> to be faster than uniqueBlock()
>
> On Wed, Jan 22, 2020 at 5:36 PM kumar gaurav <kg...@gmail.com> wrote:
>
> > HI Mikhail
> >
> > Here is full debug log . Please have a look .
> >
> > debug:
> > {
> >
> > - rawquerystring:
> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> > - querystring:
> > "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> > - parsedquery:
> > "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
> > +(store_873:1)^0.0) #(filter(color_refine:Black)
> > filter(color_refine:Blue))))"
> > ,
> > - parsedquery_toString:
> > "ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
> > #(filter(color_refine:Black) filter(color_refine:Blue)))"
> > ,
> > - explain:
> > {
> > - 5172: "
> > 1.0 = Score based on 240 child docs in range from 2572484 to
> > 2573162, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 5178: "
> > 1.0 = Score based on 304 child docs in range from 2571860 to
> > 2572404, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 9301: "
> > 1.0 = Score based on 93 child docs in range from 710150 to
> > 710796, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 118561: "
> > 1.0 = Score based on 177 child docs in range from 5728215 to
> > 5728505, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 266659: "
> > 1.0 = Score based on 89 child docs in range from 5368923 to
> > 5369396, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 323407: "
> > 1.0 = Score based on 321 child docs in range from 4807493 to
> > 4808441, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 381312: "
> > 1.0 = Score based on 232 child docs in range from 2660717 to
> > 2661101, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 851246: "
> > 1.0 = Score based on 61 child docs in range from 730259 to
> > 730562, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1564330: "
> > 1.0 = Score based on 12 child docs in range from 6831792 to
> > 6832154, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1695762: "
> > 1.0 = Score based on 157 child docs in range from 5155397 to
> > 5156414, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1728758: "
> > 1.0 = Score based on 4 child docs in range from 5108617 to
> > 5108632, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1730721: "
> > 1.0 = Score based on 34 child docs in range from 5097552 to
> > 5097808, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1731442: "
> > 1.0 = Score based on 60 child docs in range from 5094932 to
> > 5095562, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1731513: "
> > 1.0 = Score based on 45 child docs in range from 5093701 to
> > 5094098, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1732190: "
> > 1.0 = Score based on 25 child docs in range from 5087456 to
> > 5087663, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1944597: "
> > 1.0 = Score based on 14 child docs in range from 310637 to
> > 310761, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 1989834: "
> > 1.0 = Score based on 761 child docs in range from 276442 to
> > 277686, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2375536: "
> > 1.0 = Score based on 79 child docs in range from 6142157 to
> > 6142944, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2616122: "
> > 1.0 = Score based on 19 child docs in range from 5489872 to
> > 5490024, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2689457: "
> > 1.0 = Score based on 13 child docs in range from 5309377 to
> > 5309538, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2784916: "
> > 1.0 = Score based on 24 child docs in range from 4040314 to
> > 4040401, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2817779: "
> > 1.0 = Score based on 28 child docs in range from 3958922 to
> > 3960019, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2861368: "
> > 1.0 = Score based on 22 child docs in range from 2381681 to
> > 2381809, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2873186: "
> > 1.0 = Score based on 3 child docs in range from 2349642 to
> > 2349702, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 2946661: "
> > 1.0 = Score based on 32 child docs in range from 2127883 to
> > 2128109, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3022498: "
> > 1.0 = Score based on 70 child docs in range from 4301041 to
> > 4301652, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3040746: "
> > 1.0 = Score based on 140 child docs in range from 4237473 to
> > 4238188, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3084682: "
> > 1.0 = Score based on 4 child docs in range from 1669672 to
> > 1669707, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3085032: "
> > 1.0 = Score based on 3 child docs in range from 1667821 to
> > 1667844, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3091571: "
> > 1.0 = Score based on 24 child docs in range from 1646924 to
> > 1647331, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3404073: "
> > 1.0 = Score based on 9 child docs in range from 2852367 to
> > 2852436, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3417777: "
> > 1.0 = Score based on 6 child docs in range from 2805995 to
> > 2806022, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3438255: "
> > 1.0 = Score based on 2 child docs in range from 2051209 to
> > 2051210, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3478728: "
> > 1.0 = Score based on 4 child docs in range from 1981328 to
> > 1981344, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3583992: "
> > 1.0 = Score based on 5 child docs in range from 3374843 to
> > 3375002, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3589850: "
> > 1.0 = Score based on 47 child docs in range from 3361030 to
> > 3361178, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3665911: "
> > 1.0 = Score based on 1 child docs in range from 3796838 to
> > 3796840, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3665931: "
> > 1.0 = Score based on 2 child docs in range from 3796740 to
> > 3796744, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3674970: "
> > 1.0 = Score based on 22 child docs in range from 3765599 to
> > 3765916, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3681635: "
> > 1.0 = Score based on 14 child docs in range from 3741477 to
> > 3741644, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3719278: "
> > 1.0 = Score based on 74 child docs in range from 3635161 to
> > 3635475, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3721932: "
> > 1.0 = Score based on 6 child docs in range from 3623696 to
> > 3623846, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3746624: "
> > 1.0 = Score based on 11 child docs in range from 3558822 to
> > 3558917, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3770890: "
> > 1.0 = Score based on 11 child docs in range from 3477177 to
> > 3477278, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3776680: "
> > 1.0 = Score based on 14 child docs in range from 2765582 to
> > 2765659, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3781963: "
> > 1.0 = Score based on 4 child docs in range from 2743197 to
> > 2743227, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3785704: "
> > 1.0 = Score based on 20 child docs in range from 2736712 to
> > 2736789, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3800445: "
> > 1.0 = Score based on 133 child docs in range from 2693268 to
> > 2693522, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3804448: "
> > 1.0 = Score based on 3 child docs in range from 2679999 to
> > 2680028, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3829927: "
> > 1.0 = Score based on 1 child docs in range from 2509568 to
> > 2509568, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3831655: "
> > 1.0 = Score based on 3 child docs in range from 2505494 to
> > 2505499, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3845656: "
> > 1.0 = Score based on 2 child docs in range from 2476141 to
> > 2476152, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3854170: "
> > 1.0 = Score based on 8 child docs in range from 2448313 to
> > 2448442, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3870437: "
> > 1.0 = Score based on 1 child docs in range from 1354370 to
> > 1354373, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3876209: "
> > 1.0 = Score based on 1 child docs in range from 1336247 to
> > 1336247, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3876366: "
> > 1.0 = Score based on 1 child docs in range from 1335318 to
> > 1335318, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3893661: "
> > 1.0 = Score based on 19 child docs in range from 1287720 to
> > 1287779, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3894925: "
> > 1.0 = Score based on 1 child docs in range from 1284318 to
> > 1284318, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3911561: "
> > 1.0 = Score based on 2 child docs in range from 1227763 to
> > 1227768, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > - 3941974: "
> > 1.0 = Score based on 1 child docs in range from 1145356 to
> > 1145356, best match:
> > 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> > 0.0 = ConstantScore(store_873:1)^0.0
> > 0.0 = match on required clause, product of: 0.0 = #
> clause
> > 0.0 = sum of: 0.0 =
> > ConstantScore(BitSetDocTopFilter)^0.0 "
> > ,
> > },
> > - facet-trace:
> > {
> > - processor: "FacetQueryProcessor",
> > - elapse: 1122,
> > - query: null,
> > - domainSize: 98155,
> > - sub-facet:
> > [
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 134,
> > - field: "gender_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 11,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 159,
> > - field: "color_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 14,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 128,
> > - field: "sizeRange_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 18,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 131,
> > - field: "material_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 223,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 132,
> > - field: "ageAppropriate_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 6,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 138,
> > - field: "price_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 9,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 147,
> > - field: "size_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 2158,
> > },
> > -
> > {
> > - processor: "FacetFieldProcessorByArrayDV",
> > - elapse: 149,
> > - field: "inStoreOnline_refine",
> > - limit: -1,
> > - domainSize: 98155,
> > - numBuckets: 3,
> > },
> > ],
> > },
> > - facet-debug:
> > {
> > - elapse: 29,
> > - sub-facet:
> > [
> > -
> > {
> > - processor: "SimpleFacets",
> > - elapse: 29,
> > - action: "field facet",
> > - maxThreads: 0,
> > - sub-facet:
> > [
> > -
> > {
> > - elapse: 8,
> > - requestedMethod: "not specified",
> > - appliedMethod: "FC",
> > - inputDocSetSize: 98155,
> > - field: "brand",
> > - numBuckets: 6304,
> > },
> > -
> > {
> > - elapse: 5,
> > - requestedMethod: "not specified",
> > - appliedMethod: "FC",
> > - inputDocSetSize: 98155,
> > - field: "product",
> > - numBuckets: 1129,
> > },
> > -
> > {
> > - elapse: 5,
> > - requestedMethod: "not specified",
> > - appliedMethod: "FC",
> > - inputDocSetSize: 98155,
> > - field: "category",
> > - numBuckets: 194,
> > },
> > -
> > {
> > - elapse: 5,
> > - requestedMethod: "not specified",
> > - appliedMethod: "FC",
> > - inputDocSetSize: 98155,
> > - field: "department",
> > - numBuckets: 30,
> > },
> > -
> > {
> > - elapse: 4,
> > - requestedMethod: "not specified",
> > - appliedMethod: "FC",
> > - inputDocSetSize: 98155,
> > - field: "topRated",
> > - numBuckets: 6,
> > },
> > ],
> > }
> > ],
> > },
> > - json:
> > {
> > - facet:
> > {
> > - gender_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rgender_refine
> > v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "gender_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - color_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rcolor_refine
> > v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "color_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - sizeRange_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq
> > excludeTags=rsizeRange_refine v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "sizeRange_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - material_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq
> > excludeTags=rmaterial_refine v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "material_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - ageAppropriate_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq
> > excludeTags=rageAppropriate_refine v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "ageAppropriate_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - price_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rprice_refine
> > v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "price_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - size_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rsize_refine
> > v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "size_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - inStoreOnline_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq
> > excludeTags=rinStoreOnline_refine v=$sq}"
> > ,
> > -
> > "{!child of=$pq filters=$fq}docType:(product
> > collection)",
> > ],
> > },
> > - type: "terms",
> > - field: "inStoreOnline_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > }
> > },
> > - QParser: "BlockJoinParentQParser",
> > - filter_queries:
> > [
> > - "{!tag=top2}(*:* -pvgc:true)",
> > - "{!tag=top3}{!query v=$eligibleCollections}",
> > - "{!tag=top3}{!query v=$eligibleCollections}",
> > ],
> > - parsed_filter_queries:
> > [
> > - "MatchAllDocsQuery(*:*) -pvgc:true",
> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> 1]))",
> > - "docType:product (+docType:collection +(eligibleToShow:[1 TO
> 1]))",
> > ],
> > - timing:
> > {
> > - time: 1667,
> > - prepare:
> > {
> > - time: 261,
> > - query:
> > {
> > - time: 261
> > },
> > - facet:
> > {
> > - time: 0
> > },
> > - facet_module:
> > {
> > - time: 0
> > },
> > - mlt:
> > {
> > - time: 0
> > },
> > - highlight:
> > {
> > - time: 0
> > },
> > - stats:
> > {
> > - time: 0
> > },
> > - expand:
> > {
> > - time: 0
> > },
> > - terms:
> > {
> > - time: 0
> > },
> > - debug:
> > {
> > - time: 0
> > },
> > },
> > - process:
> > {
> > - time: 1405,
> > - query:
> > {
> > - time: 79
> > },
> > - facet:
> > {
> > - time: 29
> > },
> > - facet_module:
> > {
> > - time: 1122
> > },
> > - mlt:
> > {
> > - time: 0
> > },
> > - highlight:
> > {
> > - time: 0
> > },
> > - stats:
> > {
> > - time: 0
> > },
> > - expand:
> > {
> > - time: 0
> > },
> > - terms:
> > {
> > - time: 0
> > },
> > - debug:
> > {
> > - time: 174
> > },
> > },
> > },
> >
> >
> >
> >
> >
> > On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org>
> wrote:
> >
> > > Screenshot didn't come though the list. That excerpt doesn't have any
> > > informative numbers.
> > >
> > > On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com> wrote:
> > >
> > > > Hi Mikhail
> > > >
> > > > Thanks for your reply . Please help me in this .
> > > >
> > > > Followings are the screenshot:-
> > > >
> > > > [image: image.png]
> > > >
> > > >
> > > > [image: image.png]
> > > >
> > > >
> > > > json facet debug Output:-
> > > >
> > > > json:
> > > > {
> > > >
> > > > - facet:
> > > > {
> > > > - color_refine:
> > > > {
> > > > - domain:
> > > > {
> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
> > > > - filter:
> > > > [
> > > > -
> > > > "{!filters param=$child.fq excludeTags=rcolor_refine
> > > v=$sq}"
> > > > ,
> > > > - "{!child of=$pq filters=$fq}docType:(product
> > > collection)"
> > > > ,
> > > > ],
> > > > },
> > > > - type: "terms",
> > > > - field: "color_refine",
> > > > - limit: -1,
> > > > - facet:
> > > > {
> > > > - productsCount: "uniqueBlock(_root_)"
> > > > },
> > > > },
> > > > - size_refine:
> > > > {
> > > > - domain:
> > > > {
> > > > - excludeTags: "rassortment,top,top2,top3,top4,",
> > > > - filter:
> > > > [
> > > > -
> > > > "{!filters param=$child.fq excludeTags=rsize_refine
> > > v=$sq}"
> > > > ,
> > > > - "{!child of=$pq filters=$fq}docType:(product
> > > collection)"
> > > > ,
> > > > ],
> > > > },
> > > > - type: "terms",
> > > > - field: "size_refine",
> > > > - limit: -1,
> > > > - facet:
> > > > {
> > > > - productsCount: "uniqueBlock(_root_)"
> > > > },
> > > > },
> > > > }
> > > >
> > > > }
> > > >
> > > >
> > > >
> > > > regards
> > > > Kumar Gaurav
> > > >
> > > >
> > > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org>
> > > wrote:
> > > >
> > > >> Hi.
> > > >> Can you share debugQuery=true output?
> > > >>
> > > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com>
> > wrote:
> > > >>
> > > >> > HI
> > > >> >
> > > >> > i have a parent child query in which i have used json facet for
> > child
> > > >> > faceting like following.
> > > >> >
> > > >> > qt=/dismax
> > > >> > matchAllQueryRef1=+(+({!query v=$cq}))
> > > >> > sq=+{!lucene v=$matchAllQueryRef1}
> > > >> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
> > > >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> > > >> > v=$qcolor_refine1}) filter({!term f=color_refine
> v=$qcolor_refine2})
> > > >> > qcolor_refine1=Blue
> > > >> > qcolor_refine2=Other clrs
> > > >> > cq=+{!simpleFilter v=docType:sku}
> > > >> > pq=docType:(product)
> > > >> > facet=true
> > > >> > facet.mincount=1
> > > >> > facet.limit=-1
> > > >> > facet.missing=false
> > > >> > json.facet= {color_refine:{
> > > >> > domain:{
> > > >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> > > >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> > > >> > },
> > > >> > type:terms,
> > > >> > field:color_refine,
> > > >> > limit:-1,
> > > >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
> > > >> >
> > > >> > schema :-
> > > >> > <field name="color_refine" type="string" indexed="true"
> > stored="true"
> > > >> > multiValued="true" docValues="true"/>
> > > >> >
> > > >> > i have observed that json facets are slow . It is taking much time
> > > than
> > > >> > expected .
> > > >> > Can anyone please check this query specially child.fq and
> json.facet
> > > >> part .
> > > >> >
> > > >> > Please help me in this .
> > > >> >
> > > >> > Thanks & regards
> > > >> > Kumar Gaurav
> > > >> >
> > > >>
> > > >>
> > > >> --
> > > >> Sincerely yours
> > > >> Mikhail Khludnev
> > > >>
> > > >
> > >
> > > --
> > > Sincerely yours
> > > Mikhail Khludnev
> > >
> >
>
>
> --
> Sincerely yours
> Mikhail Khludnev
>
Re: Solr 8.0 Json Facets are slow - need help
Posted by Mikhail Khludnev <mk...@apache.org>.
Initial request refers unknown (to me) query parser {!simpleFilter, I
can't comment on it.
Parsing queries took in millis: - time: 261, usually prepare for query
takes a moment. I suspect the box is really slow per se or encounter heavy
load.
And then facets took about 6 times more - facet_module: { - time: 1122,
that a reasonable ratio.
I also notice limit: -1 that's really expensive usually. If tweaking can't
help, only profiling might give a clue.
Note: in 8.5 there will be uniqueBlockQuery() operation, which is expected
to be faster than uniqueBlock()
On Wed, Jan 22, 2020 at 5:36 PM kumar gaurav <kg...@gmail.com> wrote:
> HI Mikhail
>
> Here is full debug log . Please have a look .
>
> debug:
> {
>
> - rawquerystring:
> "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> - querystring:
> "{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
> - parsedquery:
> "AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
> +(store_873:1)^0.0) #(filter(color_refine:Black)
> filter(color_refine:Blue))))"
> ,
> - parsedquery_toString:
> "ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
> #(filter(color_refine:Black) filter(color_refine:Blue)))"
> ,
> - explain:
> {
> - 5172: "
> 1.0 = Score based on 240 child docs in range from 2572484 to
> 2573162, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 5178: "
> 1.0 = Score based on 304 child docs in range from 2571860 to
> 2572404, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 9301: "
> 1.0 = Score based on 93 child docs in range from 710150 to
> 710796, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 118561: "
> 1.0 = Score based on 177 child docs in range from 5728215 to
> 5728505, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 266659: "
> 1.0 = Score based on 89 child docs in range from 5368923 to
> 5369396, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 323407: "
> 1.0 = Score based on 321 child docs in range from 4807493 to
> 4808441, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 381312: "
> 1.0 = Score based on 232 child docs in range from 2660717 to
> 2661101, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 851246: "
> 1.0 = Score based on 61 child docs in range from 730259 to
> 730562, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1564330: "
> 1.0 = Score based on 12 child docs in range from 6831792 to
> 6832154, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1695762: "
> 1.0 = Score based on 157 child docs in range from 5155397 to
> 5156414, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1728758: "
> 1.0 = Score based on 4 child docs in range from 5108617 to
> 5108632, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1730721: "
> 1.0 = Score based on 34 child docs in range from 5097552 to
> 5097808, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1731442: "
> 1.0 = Score based on 60 child docs in range from 5094932 to
> 5095562, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1731513: "
> 1.0 = Score based on 45 child docs in range from 5093701 to
> 5094098, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1732190: "
> 1.0 = Score based on 25 child docs in range from 5087456 to
> 5087663, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1944597: "
> 1.0 = Score based on 14 child docs in range from 310637 to
> 310761, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 1989834: "
> 1.0 = Score based on 761 child docs in range from 276442 to
> 277686, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2375536: "
> 1.0 = Score based on 79 child docs in range from 6142157 to
> 6142944, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2616122: "
> 1.0 = Score based on 19 child docs in range from 5489872 to
> 5490024, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2689457: "
> 1.0 = Score based on 13 child docs in range from 5309377 to
> 5309538, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2784916: "
> 1.0 = Score based on 24 child docs in range from 4040314 to
> 4040401, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2817779: "
> 1.0 = Score based on 28 child docs in range from 3958922 to
> 3960019, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2861368: "
> 1.0 = Score based on 22 child docs in range from 2381681 to
> 2381809, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2873186: "
> 1.0 = Score based on 3 child docs in range from 2349642 to
> 2349702, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 2946661: "
> 1.0 = Score based on 32 child docs in range from 2127883 to
> 2128109, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3022498: "
> 1.0 = Score based on 70 child docs in range from 4301041 to
> 4301652, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3040746: "
> 1.0 = Score based on 140 child docs in range from 4237473 to
> 4238188, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3084682: "
> 1.0 = Score based on 4 child docs in range from 1669672 to
> 1669707, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3085032: "
> 1.0 = Score based on 3 child docs in range from 1667821 to
> 1667844, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3091571: "
> 1.0 = Score based on 24 child docs in range from 1646924 to
> 1647331, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3404073: "
> 1.0 = Score based on 9 child docs in range from 2852367 to
> 2852436, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3417777: "
> 1.0 = Score based on 6 child docs in range from 2805995 to
> 2806022, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3438255: "
> 1.0 = Score based on 2 child docs in range from 2051209 to
> 2051210, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3478728: "
> 1.0 = Score based on 4 child docs in range from 1981328 to
> 1981344, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3583992: "
> 1.0 = Score based on 5 child docs in range from 3374843 to
> 3375002, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3589850: "
> 1.0 = Score based on 47 child docs in range from 3361030 to
> 3361178, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3665911: "
> 1.0 = Score based on 1 child docs in range from 3796838 to
> 3796840, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3665931: "
> 1.0 = Score based on 2 child docs in range from 3796740 to
> 3796744, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3674970: "
> 1.0 = Score based on 22 child docs in range from 3765599 to
> 3765916, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3681635: "
> 1.0 = Score based on 14 child docs in range from 3741477 to
> 3741644, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3719278: "
> 1.0 = Score based on 74 child docs in range from 3635161 to
> 3635475, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3721932: "
> 1.0 = Score based on 6 child docs in range from 3623696 to
> 3623846, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3746624: "
> 1.0 = Score based on 11 child docs in range from 3558822 to
> 3558917, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3770890: "
> 1.0 = Score based on 11 child docs in range from 3477177 to
> 3477278, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3776680: "
> 1.0 = Score based on 14 child docs in range from 2765582 to
> 2765659, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3781963: "
> 1.0 = Score based on 4 child docs in range from 2743197 to
> 2743227, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3785704: "
> 1.0 = Score based on 20 child docs in range from 2736712 to
> 2736789, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3800445: "
> 1.0 = Score based on 133 child docs in range from 2693268 to
> 2693522, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3804448: "
> 1.0 = Score based on 3 child docs in range from 2679999 to
> 2680028, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3829927: "
> 1.0 = Score based on 1 child docs in range from 2509568 to
> 2509568, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3831655: "
> 1.0 = Score based on 3 child docs in range from 2505494 to
> 2505499, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3845656: "
> 1.0 = Score based on 2 child docs in range from 2476141 to
> 2476152, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3854170: "
> 1.0 = Score based on 8 child docs in range from 2448313 to
> 2448442, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3870437: "
> 1.0 = Score based on 1 child docs in range from 1354370 to
> 1354373, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3876209: "
> 1.0 = Score based on 1 child docs in range from 1336247 to
> 1336247, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3876366: "
> 1.0 = Score based on 1 child docs in range from 1335318 to
> 1335318, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3893661: "
> 1.0 = Score based on 19 child docs in range from 1287720 to
> 1287779, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3894925: "
> 1.0 = Score based on 1 child docs in range from 1284318 to
> 1284318, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3911561: "
> 1.0 = Score based on 2 child docs in range from 1227763 to
> 1227768, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> - 3941974: "
> 1.0 = Score based on 1 child docs in range from 1145356 to
> 1145356, best match:
> 1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
> 0.0 = ConstantScore(store_873:1)^0.0
> 0.0 = match on required clause, product of: 0.0 = # clause
> 0.0 = sum of: 0.0 =
> ConstantScore(BitSetDocTopFilter)^0.0 "
> ,
> },
> - facet-trace:
> {
> - processor: "FacetQueryProcessor",
> - elapse: 1122,
> - query: null,
> - domainSize: 98155,
> - sub-facet:
> [
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 134,
> - field: "gender_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 11,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 159,
> - field: "color_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 14,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 128,
> - field: "sizeRange_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 18,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 131,
> - field: "material_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 223,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 132,
> - field: "ageAppropriate_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 6,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 138,
> - field: "price_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 9,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 147,
> - field: "size_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 2158,
> },
> -
> {
> - processor: "FacetFieldProcessorByArrayDV",
> - elapse: 149,
> - field: "inStoreOnline_refine",
> - limit: -1,
> - domainSize: 98155,
> - numBuckets: 3,
> },
> ],
> },
> - facet-debug:
> {
> - elapse: 29,
> - sub-facet:
> [
> -
> {
> - processor: "SimpleFacets",
> - elapse: 29,
> - action: "field facet",
> - maxThreads: 0,
> - sub-facet:
> [
> -
> {
> - elapse: 8,
> - requestedMethod: "not specified",
> - appliedMethod: "FC",
> - inputDocSetSize: 98155,
> - field: "brand",
> - numBuckets: 6304,
> },
> -
> {
> - elapse: 5,
> - requestedMethod: "not specified",
> - appliedMethod: "FC",
> - inputDocSetSize: 98155,
> - field: "product",
> - numBuckets: 1129,
> },
> -
> {
> - elapse: 5,
> - requestedMethod: "not specified",
> - appliedMethod: "FC",
> - inputDocSetSize: 98155,
> - field: "category",
> - numBuckets: 194,
> },
> -
> {
> - elapse: 5,
> - requestedMethod: "not specified",
> - appliedMethod: "FC",
> - inputDocSetSize: 98155,
> - field: "department",
> - numBuckets: 30,
> },
> -
> {
> - elapse: 4,
> - requestedMethod: "not specified",
> - appliedMethod: "FC",
> - inputDocSetSize: 98155,
> - field: "topRated",
> - numBuckets: 6,
> },
> ],
> }
> ],
> },
> - json:
> {
> - facet:
> {
> - gender_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rgender_refine
> v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "gender_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - color_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rcolor_refine
> v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "color_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - sizeRange_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq
> excludeTags=rsizeRange_refine v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "sizeRange_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - material_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq
> excludeTags=rmaterial_refine v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "material_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - ageAppropriate_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq
> excludeTags=rageAppropriate_refine v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "ageAppropriate_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - price_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rprice_refine
> v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "price_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - size_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rsize_refine
> v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "size_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - inStoreOnline_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq
> excludeTags=rinStoreOnline_refine v=$sq}"
> ,
> -
> "{!child of=$pq filters=$fq}docType:(product
> collection)",
> ],
> },
> - type: "terms",
> - field: "inStoreOnline_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> }
> },
> - QParser: "BlockJoinParentQParser",
> - filter_queries:
> [
> - "{!tag=top2}(*:* -pvgc:true)",
> - "{!tag=top3}{!query v=$eligibleCollections}",
> - "{!tag=top3}{!query v=$eligibleCollections}",
> ],
> - parsed_filter_queries:
> [
> - "MatchAllDocsQuery(*:*) -pvgc:true",
> - "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
> - "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
> ],
> - timing:
> {
> - time: 1667,
> - prepare:
> {
> - time: 261,
> - query:
> {
> - time: 261
> },
> - facet:
> {
> - time: 0
> },
> - facet_module:
> {
> - time: 0
> },
> - mlt:
> {
> - time: 0
> },
> - highlight:
> {
> - time: 0
> },
> - stats:
> {
> - time: 0
> },
> - expand:
> {
> - time: 0
> },
> - terms:
> {
> - time: 0
> },
> - debug:
> {
> - time: 0
> },
> },
> - process:
> {
> - time: 1405,
> - query:
> {
> - time: 79
> },
> - facet:
> {
> - time: 29
> },
> - facet_module:
> {
> - time: 1122
> },
> - mlt:
> {
> - time: 0
> },
> - highlight:
> {
> - time: 0
> },
> - stats:
> {
> - time: 0
> },
> - expand:
> {
> - time: 0
> },
> - terms:
> {
> - time: 0
> },
> - debug:
> {
> - time: 174
> },
> },
> },
>
>
>
>
>
> On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org> wrote:
>
> > Screenshot didn't come though the list. That excerpt doesn't have any
> > informative numbers.
> >
> > On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com> wrote:
> >
> > > Hi Mikhail
> > >
> > > Thanks for your reply . Please help me in this .
> > >
> > > Followings are the screenshot:-
> > >
> > > [image: image.png]
> > >
> > >
> > > [image: image.png]
> > >
> > >
> > > json facet debug Output:-
> > >
> > > json:
> > > {
> > >
> > > - facet:
> > > {
> > > - color_refine:
> > > {
> > > - domain:
> > > {
> > > - excludeTags: "rassortment,top,top2,top3,top4,",
> > > - filter:
> > > [
> > > -
> > > "{!filters param=$child.fq excludeTags=rcolor_refine
> > v=$sq}"
> > > ,
> > > - "{!child of=$pq filters=$fq}docType:(product
> > collection)"
> > > ,
> > > ],
> > > },
> > > - type: "terms",
> > > - field: "color_refine",
> > > - limit: -1,
> > > - facet:
> > > {
> > > - productsCount: "uniqueBlock(_root_)"
> > > },
> > > },
> > > - size_refine:
> > > {
> > > - domain:
> > > {
> > > - excludeTags: "rassortment,top,top2,top3,top4,",
> > > - filter:
> > > [
> > > -
> > > "{!filters param=$child.fq excludeTags=rsize_refine
> > v=$sq}"
> > > ,
> > > - "{!child of=$pq filters=$fq}docType:(product
> > collection)"
> > > ,
> > > ],
> > > },
> > > - type: "terms",
> > > - field: "size_refine",
> > > - limit: -1,
> > > - facet:
> > > {
> > > - productsCount: "uniqueBlock(_root_)"
> > > },
> > > },
> > > }
> > >
> > > }
> > >
> > >
> > >
> > > regards
> > > Kumar Gaurav
> > >
> > >
> > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org>
> > wrote:
> > >
> > >> Hi.
> > >> Can you share debugQuery=true output?
> > >>
> > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com>
> wrote:
> > >>
> > >> > HI
> > >> >
> > >> > i have a parent child query in which i have used json facet for
> child
> > >> > faceting like following.
> > >> >
> > >> > qt=/dismax
> > >> > matchAllQueryRef1=+(+({!query v=$cq}))
> > >> > sq=+{!lucene v=$matchAllQueryRef1}
> > >> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
> > >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> > >> > v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
> > >> > qcolor_refine1=Blue
> > >> > qcolor_refine2=Other clrs
> > >> > cq=+{!simpleFilter v=docType:sku}
> > >> > pq=docType:(product)
> > >> > facet=true
> > >> > facet.mincount=1
> > >> > facet.limit=-1
> > >> > facet.missing=false
> > >> > json.facet= {color_refine:{
> > >> > domain:{
> > >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> > >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> > >> > },
> > >> > type:terms,
> > >> > field:color_refine,
> > >> > limit:-1,
> > >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
> > >> >
> > >> > schema :-
> > >> > <field name="color_refine" type="string" indexed="true"
> stored="true"
> > >> > multiValued="true" docValues="true"/>
> > >> >
> > >> > i have observed that json facets are slow . It is taking much time
> > than
> > >> > expected .
> > >> > Can anyone please check this query specially child.fq and json.facet
> > >> part .
> > >> >
> > >> > Please help me in this .
> > >> >
> > >> > Thanks & regards
> > >> > Kumar Gaurav
> > >> >
> > >>
> > >>
> > >> --
> > >> Sincerely yours
> > >> Mikhail Khludnev
> > >>
> > >
> >
> > --
> > Sincerely yours
> > Mikhail Khludnev
> >
>
--
Sincerely yours
Mikhail Khludnev
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
HI Mikhail
Here is full debug log . Please have a look .
debug:
{
- rawquerystring:
"{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
- querystring:
"{!parent tag=top which=$pq filters=$child.fq score=max v=$cq}",
- parsedquery:
"AllParentsAware(ToParentBlockJoinQuery (+(+docType:sku
+(store_873:1)^0.0) #(filter(color_refine:Black)
filter(color_refine:Blue))))"
,
- parsedquery_toString:
"ToParentBlockJoinQuery (+(+docType:sku +(store_873:1)^0.0)
#(filter(color_refine:Black) filter(color_refine:Blue)))"
,
- explain:
{
- 5172: "
1.0 = Score based on 240 child docs in range from 2572484 to
2573162, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 5178: "
1.0 = Score based on 304 child docs in range from 2571860 to
2572404, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 9301: "
1.0 = Score based on 93 child docs in range from 710150 to
710796, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 118561: "
1.0 = Score based on 177 child docs in range from 5728215 to
5728505, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 266659: "
1.0 = Score based on 89 child docs in range from 5368923 to
5369396, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 323407: "
1.0 = Score based on 321 child docs in range from 4807493 to
4808441, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 381312: "
1.0 = Score based on 232 child docs in range from 2660717 to
2661101, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 851246: "
1.0 = Score based on 61 child docs in range from 730259 to
730562, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1564330: "
1.0 = Score based on 12 child docs in range from 6831792 to
6832154, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1695762: "
1.0 = Score based on 157 child docs in range from 5155397 to
5156414, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1728758: "
1.0 = Score based on 4 child docs in range from 5108617 to
5108632, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1730721: "
1.0 = Score based on 34 child docs in range from 5097552 to
5097808, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1731442: "
1.0 = Score based on 60 child docs in range from 5094932 to
5095562, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1731513: "
1.0 = Score based on 45 child docs in range from 5093701 to
5094098, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1732190: "
1.0 = Score based on 25 child docs in range from 5087456 to
5087663, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1944597: "
1.0 = Score based on 14 child docs in range from 310637 to
310761, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 1989834: "
1.0 = Score based on 761 child docs in range from 276442 to
277686, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2375536: "
1.0 = Score based on 79 child docs in range from 6142157 to
6142944, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2616122: "
1.0 = Score based on 19 child docs in range from 5489872 to
5490024, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2689457: "
1.0 = Score based on 13 child docs in range from 5309377 to
5309538, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2784916: "
1.0 = Score based on 24 child docs in range from 4040314 to
4040401, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2817779: "
1.0 = Score based on 28 child docs in range from 3958922 to
3960019, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2861368: "
1.0 = Score based on 22 child docs in range from 2381681 to
2381809, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2873186: "
1.0 = Score based on 3 child docs in range from 2349642 to
2349702, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 2946661: "
1.0 = Score based on 32 child docs in range from 2127883 to
2128109, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3022498: "
1.0 = Score based on 70 child docs in range from 4301041 to
4301652, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3040746: "
1.0 = Score based on 140 child docs in range from 4237473 to
4238188, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3084682: "
1.0 = Score based on 4 child docs in range from 1669672 to
1669707, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3085032: "
1.0 = Score based on 3 child docs in range from 1667821 to
1667844, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3091571: "
1.0 = Score based on 24 child docs in range from 1646924 to
1647331, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3404073: "
1.0 = Score based on 9 child docs in range from 2852367 to
2852436, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3417777: "
1.0 = Score based on 6 child docs in range from 2805995 to
2806022, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3438255: "
1.0 = Score based on 2 child docs in range from 2051209 to
2051210, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3478728: "
1.0 = Score based on 4 child docs in range from 1981328 to
1981344, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3583992: "
1.0 = Score based on 5 child docs in range from 3374843 to
3375002, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3589850: "
1.0 = Score based on 47 child docs in range from 3361030 to
3361178, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3665911: "
1.0 = Score based on 1 child docs in range from 3796838 to
3796840, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3665931: "
1.0 = Score based on 2 child docs in range from 3796740 to
3796744, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3674970: "
1.0 = Score based on 22 child docs in range from 3765599 to
3765916, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3681635: "
1.0 = Score based on 14 child docs in range from 3741477 to
3741644, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3719278: "
1.0 = Score based on 74 child docs in range from 3635161 to
3635475, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3721932: "
1.0 = Score based on 6 child docs in range from 3623696 to
3623846, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3746624: "
1.0 = Score based on 11 child docs in range from 3558822 to
3558917, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3770890: "
1.0 = Score based on 11 child docs in range from 3477177 to
3477278, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3776680: "
1.0 = Score based on 14 child docs in range from 2765582 to
2765659, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3781963: "
1.0 = Score based on 4 child docs in range from 2743197 to
2743227, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3785704: "
1.0 = Score based on 20 child docs in range from 2736712 to
2736789, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3800445: "
1.0 = Score based on 133 child docs in range from 2693268 to
2693522, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3804448: "
1.0 = Score based on 3 child docs in range from 2679999 to
2680028, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3829927: "
1.0 = Score based on 1 child docs in range from 2509568 to
2509568, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3831655: "
1.0 = Score based on 3 child docs in range from 2505494 to
2505499, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3845656: "
1.0 = Score based on 2 child docs in range from 2476141 to
2476152, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3854170: "
1.0 = Score based on 8 child docs in range from 2448313 to
2448442, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3870437: "
1.0 = Score based on 1 child docs in range from 1354370 to
1354373, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3876209: "
1.0 = Score based on 1 child docs in range from 1336247 to
1336247, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3876366: "
1.0 = Score based on 1 child docs in range from 1335318 to
1335318, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3893661: "
1.0 = Score based on 19 child docs in range from 1287720 to
1287779, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3894925: "
1.0 = Score based on 1 child docs in range from 1284318 to
1284318, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3911561: "
1.0 = Score based on 2 child docs in range from 1227763 to
1227768, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
- 3941974: "
1.0 = Score based on 1 child docs in range from 1145356 to
1145356, best match:
1.0 = sum of: 1.0 = sum of: 1.0 = docType:sku
0.0 = ConstantScore(store_873:1)^0.0
0.0 = match on required clause, product of: 0.0 = # clause
0.0 = sum of: 0.0 = ConstantScore(BitSetDocTopFilter)^0.0 "
,
},
- facet-trace:
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- numBuckets: 11,
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- processor: "FacetFieldProcessorByArrayDV",
- elapse: 159,
- field: "color_refine",
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- domainSize: 98155,
- numBuckets: 18,
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],
},
- type: "terms",
- field: "ageAppropriate_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
- price_refine:
{
- domain:
{
- excludeTags: "rassortment,top,top2,top3,top4,",
- filter:
[
-
"{!filters param=$child.fq excludeTags=rprice_refine v=$sq}"
,
-
"{!child of=$pq filters=$fq}docType:(product collection)",
],
},
- type: "terms",
- field: "price_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
- size_refine:
{
- domain:
{
- excludeTags: "rassortment,top,top2,top3,top4,",
- filter:
[
-
"{!filters param=$child.fq excludeTags=rsize_refine v=$sq}"
,
-
"{!child of=$pq filters=$fq}docType:(product collection)",
],
},
- type: "terms",
- field: "size_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
- inStoreOnline_refine:
{
- domain:
{
- excludeTags: "rassortment,top,top2,top3,top4,",
- filter:
[
-
"{!filters param=$child.fq
excludeTags=rinStoreOnline_refine v=$sq}"
,
-
"{!child of=$pq filters=$fq}docType:(product collection)",
],
},
- type: "terms",
- field: "inStoreOnline_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
}
},
- QParser: "BlockJoinParentQParser",
- filter_queries:
[
- "{!tag=top2}(*:* -pvgc:true)",
- "{!tag=top3}{!query v=$eligibleCollections}",
- "{!tag=top3}{!query v=$eligibleCollections}",
],
- parsed_filter_queries:
[
- "MatchAllDocsQuery(*:*) -pvgc:true",
- "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
- "docType:product (+docType:collection +(eligibleToShow:[1 TO 1]))",
],
- timing:
{
- time: 1667,
- prepare:
{
- time: 261,
- query:
{
- time: 261
},
- facet:
{
- time: 0
},
- facet_module:
{
- time: 0
},
- mlt:
{
- time: 0
},
- highlight:
{
- time: 0
},
- stats:
{
- time: 0
},
- expand:
{
- time: 0
},
- terms:
{
- time: 0
},
- debug:
{
- time: 0
},
},
- process:
{
- time: 1405,
- query:
{
- time: 79
},
- facet:
{
- time: 29
},
- facet_module:
{
- time: 1122
},
- mlt:
{
- time: 0
},
- highlight:
{
- time: 0
},
- stats:
{
- time: 0
},
- expand:
{
- time: 0
},
- terms:
{
- time: 0
},
- debug:
{
- time: 174
},
},
},
On Wed, Jan 22, 2020 at 5:55 PM Mikhail Khludnev <mk...@apache.org> wrote:
> Screenshot didn't come though the list. That excerpt doesn't have any
> informative numbers.
>
> On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com> wrote:
>
> > Hi Mikhail
> >
> > Thanks for your reply . Please help me in this .
> >
> > Followings are the screenshot:-
> >
> > [image: image.png]
> >
> >
> > [image: image.png]
> >
> >
> > json facet debug Output:-
> >
> > json:
> > {
> >
> > - facet:
> > {
> > - color_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rcolor_refine
> v=$sq}"
> > ,
> > - "{!child of=$pq filters=$fq}docType:(product
> collection)"
> > ,
> > ],
> > },
> > - type: "terms",
> > - field: "color_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > - size_refine:
> > {
> > - domain:
> > {
> > - excludeTags: "rassortment,top,top2,top3,top4,",
> > - filter:
> > [
> > -
> > "{!filters param=$child.fq excludeTags=rsize_refine
> v=$sq}"
> > ,
> > - "{!child of=$pq filters=$fq}docType:(product
> collection)"
> > ,
> > ],
> > },
> > - type: "terms",
> > - field: "size_refine",
> > - limit: -1,
> > - facet:
> > {
> > - productsCount: "uniqueBlock(_root_)"
> > },
> > },
> > }
> >
> > }
> >
> >
> >
> > regards
> > Kumar Gaurav
> >
> >
> > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org>
> wrote:
> >
> >> Hi.
> >> Can you share debugQuery=true output?
> >>
> >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com> wrote:
> >>
> >> > HI
> >> >
> >> > i have a parent child query in which i have used json facet for child
> >> > faceting like following.
> >> >
> >> > qt=/dismax
> >> > matchAllQueryRef1=+(+({!query v=$cq}))
> >> > sq=+{!lucene v=$matchAllQueryRef1}
> >> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
> >> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> >> > v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
> >> > qcolor_refine1=Blue
> >> > qcolor_refine2=Other clrs
> >> > cq=+{!simpleFilter v=docType:sku}
> >> > pq=docType:(product)
> >> > facet=true
> >> > facet.mincount=1
> >> > facet.limit=-1
> >> > facet.missing=false
> >> > json.facet= {color_refine:{
> >> > domain:{
> >> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> >> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> >> > },
> >> > type:terms,
> >> > field:color_refine,
> >> > limit:-1,
> >> > facet:{productsCount:"uniqueBlock(_root_)"}}}
> >> >
> >> > schema :-
> >> > <field name="color_refine" type="string" indexed="true" stored="true"
> >> > multiValued="true" docValues="true"/>
> >> >
> >> > i have observed that json facets are slow . It is taking much time
> than
> >> > expected .
> >> > Can anyone please check this query specially child.fq and json.facet
> >> part .
> >> >
> >> > Please help me in this .
> >> >
> >> > Thanks & regards
> >> > Kumar Gaurav
> >> >
> >>
> >>
> >> --
> >> Sincerely yours
> >> Mikhail Khludnev
> >>
> >
>
> --
> Sincerely yours
> Mikhail Khludnev
>
Re: Solr 8.0 Json Facets are slow - need help
Posted by Mikhail Khludnev <mk...@apache.org>.
Screenshot didn't come though the list. That excerpt doesn't have any
informative numbers.
On Tue, Jan 21, 2020 at 5:18 PM kumar gaurav <kg...@gmail.com> wrote:
> Hi Mikhail
>
> Thanks for your reply . Please help me in this .
>
> Followings are the screenshot:-
>
> [image: image.png]
>
>
> [image: image.png]
>
>
> json facet debug Output:-
>
> json:
> {
>
> - facet:
> {
> - color_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rcolor_refine v=$sq}"
> ,
> - "{!child of=$pq filters=$fq}docType:(product collection)"
> ,
> ],
> },
> - type: "terms",
> - field: "color_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - size_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rsize_refine v=$sq}"
> ,
> - "{!child of=$pq filters=$fq}docType:(product collection)"
> ,
> ],
> },
> - type: "terms",
> - field: "size_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> }
>
> }
>
>
>
> regards
> Kumar Gaurav
>
>
> On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org> wrote:
>
>> Hi.
>> Can you share debugQuery=true output?
>>
>> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com> wrote:
>>
>> > HI
>> >
>> > i have a parent child query in which i have used json facet for child
>> > faceting like following.
>> >
>> > qt=/dismax
>> > matchAllQueryRef1=+(+({!query v=$cq}))
>> > sq=+{!lucene v=$matchAllQueryRef1}
>> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
>> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
>> > v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
>> > qcolor_refine1=Blue
>> > qcolor_refine2=Other clrs
>> > cq=+{!simpleFilter v=docType:sku}
>> > pq=docType:(product)
>> > facet=true
>> > facet.mincount=1
>> > facet.limit=-1
>> > facet.missing=false
>> > json.facet= {color_refine:{
>> > domain:{
>> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
>> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
>> > },
>> > type:terms,
>> > field:color_refine,
>> > limit:-1,
>> > facet:{productsCount:"uniqueBlock(_root_)"}}}
>> >
>> > schema :-
>> > <field name="color_refine" type="string" indexed="true" stored="true"
>> > multiValued="true" docValues="true"/>
>> >
>> > i have observed that json facets are slow . It is taking much time than
>> > expected .
>> > Can anyone please check this query specially child.fq and json.facet
>> part .
>> >
>> > Please help me in this .
>> >
>> > Thanks & regards
>> > Kumar Gaurav
>> >
>>
>>
>> --
>> Sincerely yours
>> Mikhail Khludnev
>>
>
--
Sincerely yours
Mikhail Khludnev
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
HI Mikhail
Can you please help ?
On Tue, Jan 21, 2020 at 7:48 PM kumar gaurav <kg...@gmail.com> wrote:
> Hi Mikhail
>
> Thanks for your reply . Please help me in this .
>
> Followings are the screenshot:-
>
> [image: image.png]
>
>
> [image: image.png]
>
>
> json facet debug Output:-
>
> json:
> {
>
> - facet:
> {
> - color_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rcolor_refine v=$sq}"
> ,
> - "{!child of=$pq filters=$fq}docType:(product collection)"
> ,
> ],
> },
> - type: "terms",
> - field: "color_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> - size_refine:
> {
> - domain:
> {
> - excludeTags: "rassortment,top,top2,top3,top4,",
> - filter:
> [
> -
> "{!filters param=$child.fq excludeTags=rsize_refine v=$sq}"
> ,
> - "{!child of=$pq filters=$fq}docType:(product collection)"
> ,
> ],
> },
> - type: "terms",
> - field: "size_refine",
> - limit: -1,
> - facet:
> {
> - productsCount: "uniqueBlock(_root_)"
> },
> },
> }
>
> }
>
>
>
> regards
> Kumar Gaurav
>
>
> On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org> wrote:
>
>> Hi.
>> Can you share debugQuery=true output?
>>
>> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com> wrote:
>>
>> > HI
>> >
>> > i have a parent child query in which i have used json facet for child
>> > faceting like following.
>> >
>> > qt=/dismax
>> > matchAllQueryRef1=+(+({!query v=$cq}))
>> > sq=+{!lucene v=$matchAllQueryRef1}
>> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
>> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
>> > v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
>> > qcolor_refine1=Blue
>> > qcolor_refine2=Other clrs
>> > cq=+{!simpleFilter v=docType:sku}
>> > pq=docType:(product)
>> > facet=true
>> > facet.mincount=1
>> > facet.limit=-1
>> > facet.missing=false
>> > json.facet= {color_refine:{
>> > domain:{
>> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
>> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
>> > },
>> > type:terms,
>> > field:color_refine,
>> > limit:-1,
>> > facet:{productsCount:"uniqueBlock(_root_)"}}}
>> >
>> > schema :-
>> > <field name="color_refine" type="string" indexed="true" stored="true"
>> > multiValued="true" docValues="true"/>
>> >
>> > i have observed that json facets are slow . It is taking much time than
>> > expected .
>> > Can anyone please check this query specially child.fq and json.facet
>> part .
>> >
>> > Please help me in this .
>> >
>> > Thanks & regards
>> > Kumar Gaurav
>> >
>>
>>
>> --
>> Sincerely yours
>> Mikhail Khludnev
>>
>
Re: Solr 8.0 Json Facets are slow - need help
Posted by kumar gaurav <kg...@gmail.com>.
Hi Mikhail
Thanks for your reply . Please help me in this .
Followings are the screenshot:-
[image: image.png]
[image: image.png]
json facet debug Output:-
json:
{
- facet:
{
- color_refine:
{
- domain:
{
- excludeTags: "rassortment,top,top2,top3,top4,",
- filter:
[
-
"{!filters param=$child.fq excludeTags=rcolor_refine v=$sq}",
- "{!child of=$pq filters=$fq}docType:(product collection)",
],
},
- type: "terms",
- field: "color_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
- size_refine:
{
- domain:
{
- excludeTags: "rassortment,top,top2,top3,top4,",
- filter:
[
- "{!filters param=$child.fq excludeTags=rsize_refine v=$sq}"
,
- "{!child of=$pq filters=$fq}docType:(product collection)",
],
},
- type: "terms",
- field: "size_refine",
- limit: -1,
- facet:
{
- productsCount: "uniqueBlock(_root_)"
},
},
}
}
regards
Kumar Gaurav
On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <mk...@apache.org> wrote:
> Hi.
> Can you share debugQuery=true output?
>
> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com> wrote:
>
> > HI
> >
> > i have a parent child query in which i have used json facet for child
> > faceting like following.
> >
> > qt=/dismax
> > matchAllQueryRef1=+(+({!query v=$cq}))
> > sq=+{!lucene v=$matchAllQueryRef1}
> > q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
> > child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> > v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
> > qcolor_refine1=Blue
> > qcolor_refine2=Other clrs
> > cq=+{!simpleFilter v=docType:sku}
> > pq=docType:(product)
> > facet=true
> > facet.mincount=1
> > facet.limit=-1
> > facet.missing=false
> > json.facet= {color_refine:{
> > domain:{
> > filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> > v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> > },
> > type:terms,
> > field:color_refine,
> > limit:-1,
> > facet:{productsCount:"uniqueBlock(_root_)"}}}
> >
> > schema :-
> > <field name="color_refine" type="string" indexed="true" stored="true"
> > multiValued="true" docValues="true"/>
> >
> > i have observed that json facets are slow . It is taking much time than
> > expected .
> > Can anyone please check this query specially child.fq and json.facet
> part .
> >
> > Please help me in this .
> >
> > Thanks & regards
> > Kumar Gaurav
> >
>
>
> --
> Sincerely yours
> Mikhail Khludnev
>
Re: Solr 8.0 Json Facets are slow - need help
Posted by Mikhail Khludnev <mk...@apache.org>.
Hi.
Can you share debugQuery=true output?
On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg...@gmail.com> wrote:
> HI
>
> i have a parent child query in which i have used json facet for child
> faceting like following.
>
> qt=/dismax
> matchAllQueryRef1=+(+({!query v=$cq}))
> sq=+{!lucene v=$matchAllQueryRef1}
> q={!parent tag=top which=$pq filters=$child.fq score=max v=$cq}
> child.fq={!tag=rcolor_refine}filter({!term f=color_refine
> v=$qcolor_refine1}) filter({!term f=color_refine v=$qcolor_refine2})
> qcolor_refine1=Blue
> qcolor_refine2=Other clrs
> cq=+{!simpleFilter v=docType:sku}
> pq=docType:(product)
> facet=true
> facet.mincount=1
> facet.limit=-1
> facet.missing=false
> json.facet= {color_refine:{
> domain:{
> filter:["{!filters param=$child.fq excludeTags=rcolor_refine
> v=$sq}","{!child of=$pq filters=$fq}docType:(product)"]
> },
> type:terms,
> field:color_refine,
> limit:-1,
> facet:{productsCount:"uniqueBlock(_root_)"}}}
>
> schema :-
> <field name="color_refine" type="string" indexed="true" stored="true"
> multiValued="true" docValues="true"/>
>
> i have observed that json facets are slow . It is taking much time than
> expected .
> Can anyone please check this query specially child.fq and json.facet part .
>
> Please help me in this .
>
> Thanks & regards
> Kumar Gaurav
>
--
Sincerely yours
Mikhail Khludnev