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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "wand_parts.h"
#include "parallel_weak_and_blueprint.h"
#include "parallel_weak_and_search.h"
#include <vespa/searchlib/queryeval/field_spec.hpp>
#include <vespa/searchlib/queryeval/emptysearch.h>
#include <vespa/searchlib/queryeval/searchiterator.h>
#include <vespa/searchlib/fef/termfieldmatchdata.h>
#include <vespa/vespalib/objects/visit.hpp>
#include <algorithm>
namespace search::queryeval {
ParallelWeakAndBlueprint::ParallelWeakAndBlueprint(const FieldSpec &field,
uint32_t scoresToTrack,
score_t scoreThreshold,
double thresholdBoostFactor)
: ComplexLeafBlueprint(field),
_field(field),
_scores(scoresToTrack),
_scoreThreshold(scoreThreshold),
_thresholdBoostFactor(thresholdBoostFactor),
_scoresAdjustFrequency(DEFAULT_PARALLEL_WAND_SCORES_ADJUST_FREQUENCY),
_estimate(),
_layout(),
_weights(),
_terms()
{
}
ParallelWeakAndBlueprint::ParallelWeakAndBlueprint(const FieldSpec &field,
uint32_t scoresToTrack,
score_t scoreThreshold,
double thresholdBoostFactor,
uint32_t scoresAdjustFrequency)
: ComplexLeafBlueprint(field),
_field(field),
_scores(scoresToTrack),
_scoreThreshold(scoreThreshold),
_thresholdBoostFactor(thresholdBoostFactor),
_scoresAdjustFrequency(scoresAdjustFrequency),
_estimate(),
_layout(),
_weights(),
_terms()
{
}
ParallelWeakAndBlueprint::~ParallelWeakAndBlueprint()
{
while (!_terms.empty()) {
delete _terms.back();
_terms.pop_back();
}
}
FieldSpec
ParallelWeakAndBlueprint::getNextChildField(const FieldSpec &outer)
{
return FieldSpec(outer.getName(), outer.getFieldId(), _layout.allocTermField(outer.getFieldId()), false);
}
void
ParallelWeakAndBlueprint::addTerm(Blueprint::UP term, int32_t weight)
{
HitEstimate childEst = term->getState().estimate();
if (!childEst.empty) {
if (_estimate.empty) {
_estimate = childEst;
} else {
_estimate.estHits += childEst.estHits;
}
setEstimate(_estimate);
}
_weights.push_back(weight);
_terms.push_back(term.get());
term.release();
set_tree_size(_terms.size() + 1);
}
SearchIterator::UP
ParallelWeakAndBlueprint::createLeafSearch(const search::fef::TermFieldMatchDataArray &tfmda, bool strict) const
{
assert(tfmda.size() == 1);
fef::MatchData::UP childrenMatchData = _layout.createMatchData();
wand::Terms terms;
for (size_t i = 0; i < _terms.size(); ++i) {
const State &childState = _terms[i]->getState();
assert(childState.numFields() == 1);
// TODO: pass ownership with unique_ptr
terms.push_back(wand::Term(_terms[i]->createSearch(*childrenMatchData, true).release(),
_weights[i],
childState.estimate().estHits,
childState.field(0).resolve(*childrenMatchData)));
}
return SearchIterator::UP
(ParallelWeakAndSearch::create(terms,
ParallelWeakAndSearch::MatchParams(_scores,
_scoreThreshold,
_thresholdBoostFactor,
_scoresAdjustFrequency).setDocIdLimit(get_docid_limit()),
ParallelWeakAndSearch::RankParams(*tfmda[0],
std::move(childrenMatchData)), strict));
}
std::unique_ptr<SearchIterator>
ParallelWeakAndBlueprint::createFilterSearch(bool strict, FilterConstraint constraint) const
{
if (constraint == Blueprint::FilterConstraint::UPPER_BOUND) {
return create_or_filter(_terms, strict, constraint);
} else {
return std::make_unique<EmptySearch>();
}
}
void
ParallelWeakAndBlueprint::fetchPostings(const ExecuteInfo & execInfo)
{
ExecuteInfo childInfo = ExecuteInfo::create(true, execInfo.hitRate());
for (size_t i = 0; i < _terms.size(); ++i) {
_terms[i]->fetchPostings(childInfo);
}
}
bool
ParallelWeakAndBlueprint::always_needs_unpack() const
{
return true;
}
void
ParallelWeakAndBlueprint::visitMembers(vespalib::ObjectVisitor &visitor) const
{
LeafBlueprint::visitMembers(visitor);
visit(visitor, "_weights", _weights);
visit(visitor, "_terms", _terms);
}
}
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