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Compression: support ALP compression algorithm for floating-point #9557

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57 changes: 57 additions & 0 deletions dbms/src/IO/Compression/ALP/Analyze.h
Original file line number Diff line number Diff line change
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// Copyright 2024 PingCAP, Inc.
//
// 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
//
// 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.

#pragma once

#include <IO/Compression/ALP/Compression.h>

#include <random>
#include <span>

namespace DB::ALP
{

template <typename T>
class Analyze
{
public:
using State = CompressionState<T>;

static void run(const std::span<const T> & vectors, size_t n_samples, State & state)
{
std::vector<std::vector<T>> vectors_sampled;
vectors_sampled.reserve(n_samples);

std::random_device rd;
std::mt19937 gen(rd());
std::uniform_int_distribution<> dis(0, vectors.size() - 1);

// Sample vectors.
// Each vector is a sample of SAMPLES_PER_VECTOR randomly selected values.
for (size_t i = 0; i < n_samples; ++i)
{
std::vector<T> sample;
sample.reserve(Constants::SAMPLES_PER_VECTOR);
for (size_t j = 0; j < Constants::SAMPLES_PER_VECTOR; ++j)
{
auto random_idx = dis(gen);
sample.push_back(vectors[random_idx]);
}
vectors_sampled.emplace_back(std::move(sample));
}
Compression<T, true>::findTopKCombinations(vectors_sampled, state);
}
};

}; // namespace DB::ALP
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