109 lines
4.5 KiB
C++
109 lines
4.5 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 "partitioner.h"
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#include "pipeline/pipeline_x/local_exchange/local_exchange_sink_operator.h"
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#include "runtime/thread_context.h"
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#include "vec/columns/column_const.h"
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#include "vec/sink/vdata_stream_sender.h"
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namespace doris::vectorized {
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template <typename HashValueType, typename ChannelIds>
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Status Partitioner<HashValueType, ChannelIds>::do_partitioning(RuntimeState* state, Block* block,
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MemTracker* mem_tracker) const {
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int rows = block->rows();
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if (rows > 0) {
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auto column_to_keep = block->columns();
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int result_size = _partition_expr_ctxs.size();
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std::vector<int> result(result_size);
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_hash_vals.resize(rows);
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std::fill(_hash_vals.begin(), _hash_vals.end(), 0);
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auto* __restrict hashes = _hash_vals.data();
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{
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SCOPED_CONSUME_MEM_TRACKER(mem_tracker);
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RETURN_IF_ERROR(_get_partition_column_result(block, result));
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}
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for (int j = 0; j < result_size; ++j) {
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_do_hash(unpack_if_const(block->get_by_position(result[j]).column).first, hashes, j);
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}
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for (int i = 0; i < rows; i++) {
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hashes[i] = ChannelIds()(hashes[i], _partition_count);
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}
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{
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SCOPED_CONSUME_MEM_TRACKER(mem_tracker);
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Block::erase_useless_column(block, column_to_keep);
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}
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}
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return Status::OK();
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}
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template <typename ChannelIds>
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void Crc32HashPartitioner<ChannelIds>::_do_hash(const ColumnPtr& column,
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uint32_t* __restrict result, int idx) const {
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column->update_crcs_with_value(result, Base::_partition_expr_ctxs[idx]->root()->type().type,
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column->size());
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}
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template <typename ChannelIds>
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void XXHashPartitioner<ChannelIds>::_do_hash(const ColumnPtr& column, uint64_t* __restrict result,
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int /*idx*/) const {
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column->update_hashes_with_value(result);
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}
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template <typename ChannelIds>
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Status XXHashPartitioner<ChannelIds>::clone(RuntimeState* state,
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std::unique_ptr<PartitionerBase>& partitioner) {
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auto* new_partitioner = new XXHashPartitioner(Base::_partition_count);
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partitioner.reset(new_partitioner);
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new_partitioner->_partition_expr_ctxs.resize(Base::_partition_expr_ctxs.size());
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for (size_t i = 0; i < Base::_partition_expr_ctxs.size(); i++) {
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RETURN_IF_ERROR(Base::_partition_expr_ctxs[i]->clone(
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state, new_partitioner->_partition_expr_ctxs[i]));
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}
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return Status::OK();
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}
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template <typename ChannelIds>
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Status Crc32HashPartitioner<ChannelIds>::clone(RuntimeState* state,
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std::unique_ptr<PartitionerBase>& partitioner) {
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auto* new_partitioner = new Crc32HashPartitioner(Base::_partition_count);
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partitioner.reset(new_partitioner);
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new_partitioner->_partition_expr_ctxs.resize(Base::_partition_expr_ctxs.size());
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for (size_t i = 0; i < Base::_partition_expr_ctxs.size(); i++) {
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RETURN_IF_ERROR(Base::_partition_expr_ctxs[i]->clone(
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state, new_partitioner->_partition_expr_ctxs[i]));
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}
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return Status::OK();
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}
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template class Partitioner<size_t, pipeline::LocalExchangeChannelIds>;
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template class XXHashPartitioner<pipeline::LocalExchangeChannelIds>;
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template class Partitioner<size_t, ShuffleChannelIds>;
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template class XXHashPartitioner<ShuffleChannelIds>;
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template class Partitioner<uint32_t, ShuffleChannelIds>;
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template class Crc32HashPartitioner<ShuffleChannelIds>;
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template class Crc32HashPartitioner<pipeline::LocalExchangeChannelIds>;
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} // namespace doris::vectorized
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