HI Mikhail
Can you please see above debug log and help ?
Thanks
On Thu, Jan 23, 2020 at 12:05 AM kumar gaurav <kg2...@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:
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> - 3582955: "
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> best match:
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> - 3600915: "
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> best match:
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> - 3634047: "
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> best match:
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> - 3641200: "
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> best match:
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> - 3649065: "
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> best match:
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> - 3674970: "
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> best match:
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> - 3679791: "
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> best match:
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> - 3690906: "
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> best match:
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> - 3691282: "
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> best match:
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> - 3713456: "
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> best match:
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> - 3718053: "
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> best match:
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> - 3721932: "
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> best match:
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> - 3727577: "
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> best match:
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> - 3737099: "
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> best match:
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> [
> -
> "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 <kg2...@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 <m...@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 <kg2...@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 <m...@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 <kg2...@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=$fq}docType:(product
>>> > > collection)"
>>> > > > ,
>>> > > > ],
>>> > > > },
>>> > > > - type: "terms",
>>> > > > - field: "size_refine",
>>> > > > - limit: -1,
>>> > > > - facet:
>>> > > > {
>>> > > > - productsCount: "uniqueBlock(_root_)"
>>> > > > },
>>> > > > },
>>> > > > }
>>> > > >
>>> > > > }
>>> > > >
>>> > > >
>>> > > >
>>> > > > regards
>>> > > > Kumar Gaurav
>>> > > >
>>> > > >
>>> > > > On Tue, Jan 21, 2020 at 5:25 PM Mikhail Khludnev <m...@apache.org>
>>> > > wrote:
>>> > > >
>>> > > >> Hi.
>>> > > >> Can you share debugQuery=true output?
>>> > > >>
>>> > > >> On Tue, Jan 21, 2020 at 1:37 PM kumar gaurav <kg2...@gmail.com>
>>> > wrote:
>>> > > >>
>>> > > >> > HI
>>> > > >> >
>>> > > >> > i have a parent child query in which i have used json facet for
>>> > child
>>> > > >> > faceting like following.
>>> > > >> >
>>> > > >> > qt=/dismax
>>> > > >> > matchAllQueryRef1=+(+({!query v=$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
>>>
>>
