```cpp
for (uint16_t i = 0; i < *size; ++i) {
// some code here
}
```
The value of size is read for each conditional test, which also prevents possible vectorization.
249 lines
10 KiB
C++
249 lines
10 KiB
C++
// Licensed to the Apache Software Foundation (ASF) 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,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "block_column_predicate.h"
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#include "olap/row_block2.h"
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namespace doris {
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void SingleColumnBlockPredicate::evaluate(RowBlockV2* block, uint16_t* selected_size) const {
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auto column_id = _predicate->column_id();
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auto column_block = block->column_block(column_id);
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_predicate->evaluate(&column_block, block->selection_vector(), selected_size);
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}
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void SingleColumnBlockPredicate::evaluate_and(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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auto column_id = _predicate->column_id();
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auto column_block = block->column_block(column_id);
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_predicate->evaluate_and(&column_block, block->selection_vector(), selected_size, flags);
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}
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void SingleColumnBlockPredicate::evaluate_or(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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auto column_id = _predicate->column_id();
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auto column_block = block->column_block(column_id);
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_predicate->evaluate_or(&column_block, block->selection_vector(), selected_size, flags);
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}
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uint16_t SingleColumnBlockPredicate::evaluate(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size) const {
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auto column_id = _predicate->column_id();
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auto& column = block[column_id];
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return _predicate->evaluate(*column, sel, selected_size);
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}
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void SingleColumnBlockPredicate::evaluate_and(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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auto column_id = _predicate->column_id();
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auto& column = block[column_id];
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_predicate->evaluate_and(*column, sel, selected_size, flags);
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}
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void SingleColumnBlockPredicate::evaluate_or(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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auto column_id = _predicate->column_id();
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auto& column = block[column_id];
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_predicate->evaluate_or(*column, sel, selected_size, flags);
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}
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void SingleColumnBlockPredicate::evaluate_vec(vectorized::MutableColumns& block, uint16_t size,
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bool* flags) const {
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auto column_id = _predicate->column_id();
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auto& column = block[column_id];
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_predicate->evaluate_vec(*column, size, flags);
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}
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void OrBlockColumnPredicate::evaluate(RowBlockV2* block, uint16_t* selected_size) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate(block, selected_size);
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} else {
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bool flags[*selected_size];
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memset(flags, false, *selected_size);
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for (int i = 0; i < num_of_column_predicate(); ++i) {
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auto column_predicate = _block_column_predicate_vec[i];
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column_predicate->evaluate_or(block, *selected_size, flags);
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}
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uint16_t new_size = 0;
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for (int i = 0; i < *selected_size; ++i) {
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if (flags[i]) {
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block->selection_vector()[new_size++] = block->selection_vector()[i];
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}
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}
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*selected_size = new_size;
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}
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}
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uint16_t OrBlockColumnPredicate::evaluate(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size) const {
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if (num_of_column_predicate() == 1) {
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return _block_column_predicate_vec[0]->evaluate(block, sel, selected_size);
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} else {
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bool ret_flags[selected_size];
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memset(ret_flags, false, selected_size);
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for (int i = 0; i < num_of_column_predicate(); ++i) {
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auto column_predicate = _block_column_predicate_vec[i];
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column_predicate->evaluate_or(block, sel, selected_size, ret_flags);
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}
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uint16_t new_size = 0;
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for (int i = 0; i < selected_size; ++i) {
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if (ret_flags[i]) {
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sel[new_size++] = sel[i];
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}
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}
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return new_size;
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}
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}
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void OrBlockColumnPredicate::evaluate_or(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate_or(block, selected_size, flags);
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}
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}
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void OrBlockColumnPredicate::evaluate_or(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate_or(block, sel, selected_size, flags);
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}
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}
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void OrBlockColumnPredicate::evaluate_and(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate_and(block, selected_size, flags);
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} else {
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bool new_flags[selected_size];
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memset(new_flags, false, selected_size);
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for (int i = 0; i < num_of_column_predicate(); ++i) {
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auto column_predicate = _block_column_predicate_vec[i];
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column_predicate->evaluate_or(block, selected_size, new_flags);
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}
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for (int i = 0; i < selected_size; ++i) {
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flags[i] &= new_flags[i];
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}
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}
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}
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void OrBlockColumnPredicate::evaluate_and(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate_and(block, sel, selected_size, flags);
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} else {
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bool ret_flags[selected_size];
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memset(ret_flags, false, selected_size);
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for (int i = 0; i < num_of_column_predicate(); ++i) {
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auto column_predicate = _block_column_predicate_vec[i];
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column_predicate->evaluate_or(block, sel, selected_size, ret_flags);
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}
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for (int i = 0; i < selected_size; ++i) {
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flags[i] &= ret_flags[i];
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}
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}
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}
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void AndBlockColumnPredicate::evaluate(RowBlockV2* block, uint16_t* selected_size) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate(block, selected_size);
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}
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}
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uint16_t AndBlockColumnPredicate::evaluate(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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selected_size = block_column_predicate->evaluate(block, sel, selected_size);
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}
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return selected_size;
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}
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void AndBlockColumnPredicate::evaluate_and(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate_and(block, selected_size, flags);
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}
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}
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void AndBlockColumnPredicate::evaluate_and(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate_and(block, sel, selected_size, flags);
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}
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}
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void AndBlockColumnPredicate::evaluate_or(RowBlockV2* block, uint16_t selected_size,
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bool* flags) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate_or(block, selected_size, flags);
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} else {
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bool new_flags[selected_size];
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memset(new_flags, true, selected_size);
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for (int i = 0; i < num_of_column_predicate(); ++i) {
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auto column_predicate = _block_column_predicate_vec[i];
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column_predicate->evaluate_and(block, selected_size, new_flags);
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}
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for (int i = 0; i < selected_size; ++i) {
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flags[i] |= new_flags[i];
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}
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}
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}
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void AndBlockColumnPredicate::evaluate_or(vectorized::MutableColumns& block, uint16_t* sel,
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uint16_t selected_size, bool* flags) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate_or(block, sel, selected_size, flags);
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} else {
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bool new_flags[selected_size];
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memset(new_flags, true, selected_size);
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for (auto block_column_predicate : _block_column_predicate_vec) {
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block_column_predicate->evaluate_and(block, sel, selected_size, new_flags);
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}
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for (uint16_t i = 0; i < selected_size; i++) {
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flags[i] |= new_flags[i];
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}
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}
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}
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// todo(wb) Can the 'and' of multiple bitmaps be vectorized?
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void AndBlockColumnPredicate::evaluate_vec(vectorized::MutableColumns& block, uint16_t size,
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bool* flags) const {
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if (num_of_column_predicate() == 1) {
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_block_column_predicate_vec[0]->evaluate_vec(block, size, flags);
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} else {
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bool new_flags[size];
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for (auto block_column_predicate : _block_column_predicate_vec) {
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memset(new_flags, true, size);
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block_column_predicate->evaluate_vec(block, size, new_flags);
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for (uint16_t j = 0; j < size; j++) {
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flags[j] &= new_flags[j];
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}
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}
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}
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}
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} // namespace doris
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