partitioning.hpp

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/*
 * Copyright (c) 2020-2024, NVIDIA CORPORATION.
 *
 * Licensed 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
 *
 * https://apache.ac.cn/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.
 */

#pragma once

#include <cudf/hashing.hpp>
#include <cudf/utilities/default_stream.hpp>
#include <cudf/utilities/export.hpp>
#include <cudf/utilities/memory_resource.hpp>

#include <rmm/cuda_stream_view.hpp>

#include <memory>
#include <vector>

namespace CUDF_EXPORT cudf {
enum class hash_id {
 HASH_IDENTITY = 0,
 HASH_MURMUR3
};

std::pair<std::unique_ptr<table>, std::vector<size_type>> partition(
 table_view const& t,
 column_view const& partition_map,
 size_type num_partitions,
 rmm::cuda_stream_view stream = cudf::get_default_stream(),
 rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

std::pair<std::unique_ptr<table>, std::vector<size_type>> hash_partition(
 table_view const& input,
 std::vector<size_type> const& columns_to_hash,
 int num_partitions,
 hash_id hash_function = hash_id::HASH_MURMUR3,
 uint32_t seed = DEFAULT_HASH_SEED,
 rmm::cuda_stream_view stream = cudf::get_default_stream(),
 rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());

std::pair<std::unique_ptr<cudf::table>, std::vector<cudf::size_type>> round_robin_partition(
 table_view const& input,
 cudf::size_type num_partitions,
 cudf::size_type start_partition = 0,
 rmm::cuda_stream_view stream = cudf::get_default_stream(),
 rmm::device_async_resource_ref mr = cudf::get_current_device_resource_ref());
 // 组结束
} // namespace CUDF_EXPORT cudf