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124 lines
3.7 KiB
C++
124 lines
3.7 KiB
C++
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <fmt/core.h>
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#include "common/EasyAssert.h"
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#include "common/Types.h"
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#include "common/Vector.h"
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#include "exec/expression/Expr.h"
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#include "segcore/SegmentInterface.h"
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namespace milvus {
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namespace exec {
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template <bool is_and>
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struct ConjunctElementFunc {
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int64_t
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operator()(ColumnVectorPtr& input_result, ColumnVectorPtr& result) {
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TargetBitmapView input_data(input_result->GetRawData(),
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input_result->size());
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TargetBitmapView res_data(result->GetRawData(), result->size());
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/*
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// This is the original code, kept here for the documentation purposes
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int64_t activate_rows = 0;
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for (int i = 0; i < result->size(); ++i) {
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if constexpr (is_and) {
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res_data[i] &= input_data[i];
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if (res_data[i]) {
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activate_rows++;
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}
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} else {
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res_data[i] |= input_data[i];
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if (!res_data[i]) {
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activate_rows++;
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}
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}
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}
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*/
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if constexpr (is_and) {
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return (int64_t)res_data.inplace_and_with_count(input_data,
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res_data.size());
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} else {
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return (int64_t)res_data.inplace_or_with_count(input_data,
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res_data.size());
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}
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}
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};
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class PhyConjunctFilterExpr : public Expr {
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public:
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PhyConjunctFilterExpr(std::vector<ExprPtr>&& inputs, bool is_and)
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: Expr(DataType::BOOL, std::move(inputs), is_and ? "and" : "or"),
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is_and_(is_and) {
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std::vector<DataType> input_types;
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input_types.reserve(inputs_.size());
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std::transform(inputs_.begin(),
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inputs_.end(),
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std::back_inserter(input_types),
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[](const ExprPtr& expr) { return expr->type(); });
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ResolveType(input_types);
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}
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void
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Eval(EvalCtx& context, VectorPtr& result) override;
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void
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MoveCursor() override {
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if (!has_offset_input_) {
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for (auto& input : inputs_) {
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input->MoveCursor();
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}
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}
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}
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bool
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SupportOffsetInput() override {
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for (auto& input : inputs_) {
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if (!(input->SupportOffsetInput())) {
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return false;
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}
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}
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return true;
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}
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private:
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int64_t
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UpdateResult(ColumnVectorPtr& input_result,
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EvalCtx& ctx,
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ColumnVectorPtr& result);
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static DataType
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ResolveType(const std::vector<DataType>& inputs);
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bool
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CanSkipFollowingExprs(ColumnVectorPtr& vec);
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void
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SkipFollowingExprs(int start);
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// true if conjunction (and), false if disjunction (or).
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bool is_and_;
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std::vector<int32_t> input_order_;
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};
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} //namespace exec
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} // namespace milvus
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