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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include "numeric_search_context.h"
#include <vespa/vespalib/util/arrayref.h>
#include <vespa/vespalib/util/atomic.h>
namespace search::attribute {
/*
* SingleNumericSearchContext handles the creation of search iterators for
* a query term on a single value numeric attribute vector.
*/
template <typename T, typename M>
class SingleNumericSearchContext final : public NumericSearchContext<M>
{
private:
using DocId = ISearchContext::DocId;
vespalib::ConstArrayRef<T> _data;
int32_t onFind(DocId docId, int32_t elemId, int32_t& weight) const override {
return find(docId, elemId, weight);
}
int32_t onFind(DocId docId, int elemId) const override {
return find(docId, elemId);
}
public:
SingleNumericSearchContext(std::unique_ptr<QueryTermSimple> qTerm, const AttributeVector& toBeSearched, vespalib::ConstArrayRef<T> data);
int32_t find(DocId docId, int32_t elemId, int32_t& weight) const {
if ( elemId != 0) return -1;
const T v = vespalib::atomic::load_ref_relaxed(_data[docId]);
weight = 1;
return this->match(v) ? 0 : -1;
}
int32_t find(DocId docId, int elemId) const {
if ( elemId != 0) return -1;
const T v = vespalib::atomic::load_ref_relaxed(_data[docId]);
return this->match(v) ? 0 : -1;
}
std::unique_ptr<queryeval::SearchIterator>
createFilterIterator(fef::TermFieldMatchData* matchData, bool strict) override;
uint32_t get_committed_docid_limit() const noexcept override;
};
}
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