Hi,
I am using pretty complex function queries to completely customize (not only
boost) the score of my result documents that are retrieved from an index of
approx 10e7 documents. To get to an acceptable level of performance I
combine my query with filters in the following way (very short example):
q=_val_:"sum(termfreq(fieldname,`word`),termfreq(fieldname2,`word2`))"&fq=fieldname:`word`&fq=fieldname2:`word2`
Although I always have (because of the filter) approx 50.000 docs in the
result set, the search times vary (depending on the actual query) between
100ms and 6000ms.
My understanding was that the scoring function is only applied to the result
set from the filters. But based on what I am seeing it seems that a lot more
documents are actually put through the _val_ function.
Is there a way to fully compute the score of only the documents in the
result set?
Thanks, Nico
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