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scanner.cpp
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284 lines (247 loc) · 10.6 KB
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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#include "vec/exec/scan/scanner.h"
#include <glog/logging.h>
#include "common/config.h"
#include "common/status.h"
#include "pipeline/exec/scan_operator.h"
#include "runtime/descriptors.h"
#include "util/defer_op.h"
#include "util/runtime_profile.h"
#include "vec/columns/column_nothing.h"
#include "vec/core/column_with_type_and_name.h"
#include "vec/exec/scan/scan_node.h"
#include "vec/exprs/vexpr_context.h"
namespace doris::vectorized {
Scanner::Scanner(RuntimeState* state, pipeline::ScanLocalStateBase* local_state, int64_t limit,
RuntimeProfile* profile)
: _state(state),
_local_state(local_state),
_limit(limit),
_profile(profile),
_output_tuple_desc(_local_state->output_tuple_desc()),
_output_row_descriptor(_local_state->_parent->output_row_descriptor()),
_has_prepared(false) {
_total_rf_num = cast_set<int>(_local_state->_helper.runtime_filter_nums());
DorisMetrics::instance()->scanner_cnt->increment(1);
}
Status Scanner::init(RuntimeState* state, const VExprContextSPtrs& conjuncts) {
if (!conjuncts.empty()) {
_conjuncts.resize(conjuncts.size());
for (size_t i = 0; i != conjuncts.size(); ++i) {
RETURN_IF_ERROR(conjuncts[i]->clone(state, _conjuncts[i]));
}
}
const auto& projections = _local_state->_projections;
if (!projections.empty()) {
_projections.resize(projections.size());
for (size_t i = 0; i != projections.size(); ++i) {
RETURN_IF_ERROR(projections[i]->clone(state, _projections[i]));
}
}
const auto& intermediate_projections = _local_state->_intermediate_projections;
if (!intermediate_projections.empty()) {
_intermediate_projections.resize(intermediate_projections.size());
for (int i = 0; i < intermediate_projections.size(); i++) {
_intermediate_projections[i].resize(intermediate_projections[i].size());
for (int j = 0; j < intermediate_projections[i].size(); j++) {
RETURN_IF_ERROR(intermediate_projections[i][j]->clone(
state, _intermediate_projections[i][j]));
}
}
}
return Status::OK();
}
Status Scanner::get_block_after_projects(RuntimeState* state, vectorized::Block* block, bool* eos) {
auto& row_descriptor = _local_state->_parent->row_descriptor();
if (_output_row_descriptor) {
if (_alreay_eos) {
*eos = true;
_padding_block.swap(_origin_block);
} else {
_origin_block.clear_column_data(row_descriptor.num_materialized_slots());
const auto min_batch_size = std::max(state->batch_size() / 2, 1);
while (_padding_block.rows() < min_batch_size && !*eos) {
RETURN_IF_ERROR(get_block(state, &_origin_block, eos));
if (_origin_block.rows() >= min_batch_size) {
break;
}
if (_origin_block.rows() + _padding_block.rows() <= state->batch_size()) {
RETURN_IF_ERROR(_merge_padding_block());
_origin_block.clear_column_data(row_descriptor.num_materialized_slots());
} else {
if (_origin_block.rows() < _padding_block.rows()) {
_padding_block.swap(_origin_block);
}
break;
}
}
}
// first output the origin block change eos = false, next time output padding block
// set the eos to true
if (*eos && !_padding_block.empty() && !_origin_block.empty()) {
_alreay_eos = true;
*eos = false;
}
if (_origin_block.empty() && !_padding_block.empty()) {
_padding_block.swap(_origin_block);
}
return _do_projections(&_origin_block, block);
} else {
return get_block(state, block, eos);
}
}
Status Scanner::get_block(RuntimeState* state, Block* block, bool* eof) {
// only empty block should be here
DCHECK(block->rows() == 0);
// scanner running time
SCOPED_RAW_TIMER(&_per_scanner_timer);
int64_t rows_read_threshold = _num_rows_read + config::doris_scanner_row_num;
if (!block->mem_reuse()) {
for (auto* const slot_desc : _output_tuple_desc->slots()) {
block->insert(ColumnWithTypeAndName(slot_desc->get_empty_mutable_column(),
slot_desc->get_data_type_ptr(),
slot_desc->col_name()));
}
}
{
do {
// 1. Get input block from scanner
{
// get block time
SCOPED_TIMER(_local_state->_scan_timer);
RETURN_IF_ERROR(_get_block_impl(state, block, eof));
if (*eof) {
DCHECK(block->rows() == 0);
break;
}
_num_rows_read += block->rows();
_num_byte_read += block->allocated_bytes();
}
// 2. Filter the output block finally.
{
SCOPED_TIMER(_local_state->_filter_timer);
RETURN_IF_ERROR(_filter_output_block(block));
}
// record rows return (after filter) for _limit check
_num_rows_return += block->rows();
} while (!_should_stop && !state->is_cancelled() && block->rows() == 0 && !(*eof) &&
_num_rows_read < rows_read_threshold);
}
if (state->is_cancelled()) {
// TODO: Should return the specific ErrorStatus instead of just Cancelled.
return Status::Cancelled("cancelled");
}
*eof = *eof || _should_stop;
// set eof to true if per scanner limit is reached
// currently for query: ORDER BY key LIMIT n
*eof = *eof || (_limit > 0 && _num_rows_return >= _limit);
return Status::OK();
}
Status Scanner::_filter_output_block(Block* block) {
auto old_rows = block->rows();
Status st = VExprContext::filter_block(_conjuncts, block, block->columns());
_counter.num_rows_unselected += old_rows - block->rows();
return st;
}
Status Scanner::_do_projections(vectorized::Block* origin_block, vectorized::Block* output_block) {
SCOPED_RAW_TIMER(&_per_scanner_timer);
SCOPED_RAW_TIMER(&_projection_timer);
const size_t rows = origin_block->rows();
if (rows == 0) {
return Status::OK();
}
vectorized::Block input_block = *origin_block;
std::vector<int> result_column_ids;
for (auto& projections : _intermediate_projections) {
result_column_ids.resize(projections.size());
for (int i = 0; i < projections.size(); i++) {
RETURN_IF_ERROR(projections[i]->execute(&input_block, &result_column_ids[i]));
}
input_block.shuffle_columns(result_column_ids);
}
DCHECK_EQ(rows, input_block.rows());
MutableBlock mutable_block =
VectorizedUtils::build_mutable_mem_reuse_block(output_block, *_output_row_descriptor);
auto& mutable_columns = mutable_block.mutable_columns();
DCHECK_EQ(mutable_columns.size(), _projections.size());
for (int i = 0; i < mutable_columns.size(); ++i) {
ColumnPtr column_ptr;
RETURN_IF_ERROR(_projections[i]->execute(&input_block, column_ptr));
column_ptr = column_ptr->convert_to_full_column_if_const();
if (mutable_columns[i]->is_nullable() != column_ptr->is_nullable()) {
throw Exception(ErrorCode::INTERNAL_ERROR, "Nullable mismatch");
}
mutable_columns[i] = column_ptr->assume_mutable();
}
output_block->set_columns(std::move(mutable_columns));
// origin columns was moved into output_block, so we need to set origin_block to empty columns
auto empty_columns = origin_block->clone_empty_columns();
origin_block->set_columns(std::move(empty_columns));
DCHECK_EQ(output_block->rows(), rows);
return Status::OK();
}
Status Scanner::try_append_late_arrival_runtime_filter() {
if (_applied_rf_num == _total_rf_num) {
return Status::OK();
}
DCHECK(_applied_rf_num < _total_rf_num);
int arrived_rf_num = 0;
RETURN_IF_ERROR(_local_state->_helper.try_append_late_arrival_runtime_filter(
_state, &arrived_rf_num, _local_state->_conjuncts,
_local_state->_parent->row_descriptor()));
if (arrived_rf_num == _applied_rf_num) {
// No newly arrived runtime filters, just return;
return Status::OK();
}
// There are newly arrived runtime filters,
// renew the _conjuncts
if (!_conjuncts.empty()) {
_discard_conjuncts();
}
// Notice that the number of runtime filters may be larger than _applied_rf_num.
// But it is ok because it will be updated at next time.
RETURN_IF_ERROR(_local_state->_helper.clone_conjunct_ctxs(_state, _conjuncts,
_local_state->_conjuncts));
_applied_rf_num = arrived_rf_num;
return Status::OK();
}
Status Scanner::close(RuntimeState* state) {
if (_is_closed) {
return Status::OK();
}
#ifndef BE_TEST
COUNTER_UPDATE(_local_state->_scanner_wait_worker_timer, _scanner_wait_worker_timer);
#endif
_is_closed = true;
return Status::OK();
}
void Scanner::_collect_profile_before_close() {
COUNTER_UPDATE(_local_state->_scan_cpu_timer, _scan_cpu_timer);
COUNTER_UPDATE(_local_state->_rows_read_counter, _num_rows_read);
// Update stats for load
_state->update_num_rows_load_filtered(_counter.num_rows_filtered);
_state->update_num_rows_load_unselected(_counter.num_rows_unselected);
}
void Scanner::update_scan_cpu_timer() {
int64_t cpu_time = _cpu_watch.elapsed_time();
_scan_cpu_timer += cpu_time;
if (_state && _state->get_query_ctx()) {
_state->get_query_ctx()->resource_ctx()->cpu_context()->update_cpu_cost_ms(cpu_time);
}
}
} // namespace doris::vectorized