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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 "internal_max_reduce_prod_join_feature.h"
#include "valuefeature.h"
#include "weighted_set_parser.h"
#include "dotproductfeature.h"
#include <vespa/searchlib/attribute/attribute.h>
#include <vespa/searchlib/attribute/imported_attribute_vector_read_guard.h>
#include <vespa/searchlib/attribute/multinumericattribute.h>
#include <vespa/searchlib/fef/properties.h>
#include <vespa/searchlib/fef/featureexecutor.h>
#include <vespa/searchcommon/common/datatype.h>
#include <vespa/log/log.h>
LOG_SETUP(".features.internalmaxreduceprodjoin");
using namespace search::attribute;
using namespace search::fef;
using search::features::dotproduct::wset::IntegerVector;
namespace search::features {
/**
* Executor used when array can be accessed directly
*/
template <typename BaseType>
class RawExecutor : public FeatureExecutor {
protected:
const IAttributeVector *_attribute;
IntegerVector _queryVector;
public:
RawExecutor(const IAttributeVector *attribute, const IntegerVector &queryVector);
void execute(uint32_t docId) override;
};
template <typename BaseType>
RawExecutor<BaseType>::RawExecutor(const IAttributeVector *attribute, const IntegerVector &queryVector) :
FeatureExecutor(),
_attribute(attribute),
_queryVector(queryVector)
{
_queryVector.syncMap();
}
template <typename A, typename V>
feature_t maxProduct(const A &array, size_t count, const V &query)
{
feature_t val = -std::numeric_limits<double>::max();
for (size_t i = 0; i < count; ++i) {
auto itr = query.getDimMap().find(array[i].value());
if (itr != query.getDimMap().end()) {
feature_t v = itr->second; // weight from attribute is assumed to be 1.0
if (v > val) {
val = v;
}
}
}
return val == -std::numeric_limits<double>::max() ? 0.0 : val;
}
template <typename BaseType>
void
RawExecutor<BaseType>::execute(uint32_t docId)
{
using A = IntegerAttributeTemplate<BaseType>;
const multivalue::Value<BaseType> *values(nullptr);
const A *iattr = dynamic_cast<const A *>(_attribute);
size_t count = iattr->getRawValues(docId, values);
outputs().set_number(0, maxProduct(values, count, _queryVector));
}
/**
* Executor when array can't be accessed directly
*/
template <typename BaseType>
class BufferedExecutor : public RawExecutor<BaseType> {
private:
WeightedIntegerContent _buffer;
public:
BufferedExecutor(const IAttributeVector *attribute, const IntegerVector &queryVector);
void execute(uint32_t docId) override;
};
template <typename BaseType>
BufferedExecutor<BaseType>::BufferedExecutor(const IAttributeVector *attribute, const IntegerVector &queryVector) :
RawExecutor<BaseType>(attribute, queryVector),
_buffer()
{
}
template <typename BaseType>
void
BufferedExecutor<BaseType>::execute(uint32_t docId)
{
_buffer.fill(*(this->_attribute), docId);
this->outputs().set_number(0, maxProduct(_buffer, _buffer.size(), this->_queryVector));
}
/**
* Blueprint
*/
InternalMaxReduceProdJoinBlueprint::InternalMaxReduceProdJoinBlueprint() :
Blueprint("internalMaxReduceProdJoin")
{
}
InternalMaxReduceProdJoinBlueprint::~InternalMaxReduceProdJoinBlueprint()
{
}
void
InternalMaxReduceProdJoinBlueprint::visitDumpFeatures(const IIndexEnvironment &,
IDumpFeatureVisitor &) const
{
}
Blueprint::UP
InternalMaxReduceProdJoinBlueprint::createInstance() const
{
return Blueprint::UP(new InternalMaxReduceProdJoinBlueprint());
}
ParameterDescriptions
InternalMaxReduceProdJoinBlueprint::getDescriptions() const
{
return ParameterDescriptions().desc().attribute(ParameterDataTypeSet::int32OrInt64TypeSet(), ParameterCollection::ARRAY).string();
}
bool
InternalMaxReduceProdJoinBlueprint::setup(const IIndexEnvironment &env, const ParameterList ¶ms)
{
_attribute = params[0].getValue();
_query = params[1].getValue();
describeOutput("scalar", "Internal executor for optimized execution of reduce(join(A,Q,f(x,y)(x*y)),max)");
env.hintAttributeAccess(_attribute);
return true;
}
template<typename A>
bool supportsGetRawValues(const A &attr) noexcept {
try {
const multivalue::Value<typename A::BaseType> *tmp = nullptr;
attr.getRawValues(0, tmp); // Throws if unsupported
return true;
} catch (const std::runtime_error &e) {
(void) e;
return false;
}
}
template <typename BaseType>
FeatureExecutor &
selectTypedExecutor(const IAttributeVector *attribute, const IntegerVector &vector, vespalib::Stash &stash)
{
if (!attribute->isImported()) {
using A = IntegerAttributeTemplate<BaseType>;
using VT = multivalue::Value<BaseType>;
using ExactA = MultiValueNumericAttribute<A, VT>;
const A *iattr = dynamic_cast<const A *>(attribute);
if (supportsGetRawValues(*iattr)) {
const ExactA *exactA = dynamic_cast<const ExactA *>(iattr);
if (exactA != nullptr) {
return stash.create<RawExecutor<BaseType>>(attribute, vector);
}
}
}
return stash.create<BufferedExecutor<BaseType>>(attribute, vector);
}
FeatureExecutor &
selectExecutor(const IAttributeVector *attribute, const IntegerVector &vector, vespalib::Stash &stash)
{
if (attribute->getCollectionType() == CollectionType::ARRAY) {
switch (attribute->getBasicType()) {
case BasicType::INT32:
return selectTypedExecutor<int32_t>(attribute, vector, stash);
case BasicType::INT64:
return selectTypedExecutor<int64_t>(attribute, vector, stash);
default:
break;
}
}
LOG(warning, "The attribute vector '%s' is not of type "
"array<int/long>, returning executor with default value.", attribute->getName().c_str());
return stash.create<SingleZeroValueExecutor>();
}
FeatureExecutor &
InternalMaxReduceProdJoinBlueprint::createExecutor(const IQueryEnvironment &env, vespalib::Stash &stash) const
{
const IAttributeVector *attribute = env.getAttributeContext().getAttribute(_attribute);
if (attribute == nullptr) {
LOG(warning, "The attribute vector '%s' was not found in the attribute manager, "
"returning executor with default value.",
_attribute.c_str());
return stash.create<SingleZeroValueExecutor>();
}
Property prop = env.getProperties().lookup(_query);
if (prop.found() && !prop.get().empty()) {
IntegerVector vector;
WeightedSetParser::parse(prop.get(), vector);
if (!vector.getVector().empty()) {
return selectExecutor(attribute, vector, stash);
}
}
return stash.create<SingleZeroValueExecutor>();
}
}
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