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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.
#pragma once
#include <stddef.h>
#include <stdint.h>
#include <memory>
#include <string>
#include <vector>
#include "cloud/cloud_tablet.h"
#include "common/config.h"
#include "storage/rowset/rowset.h"
#include "storage/rowset/rowset_meta.h"
namespace doris {
class Tablet;
struct Version;
class CloudCumulativeCompactionPolicy {
public:
virtual ~CloudCumulativeCompactionPolicy() = default;
virtual int64_t new_cumulative_point(CloudTablet* tablet, const RowsetSharedPtr& output_rowset,
Version& last_delete_version,
int64_t last_cumulative_point) = 0;
virtual int64_t get_compaction_level(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& input_rowsets,
RowsetSharedPtr output_rowset) = 0;
virtual int64_t pick_input_rowsets(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& candidate_rowsets,
const int64_t max_compaction_score,
const int64_t min_compaction_score,
std::vector<RowsetSharedPtr>* input_rowsets,
Version* last_delete_version, size_t* compaction_score,
bool allow_delete = false) = 0;
virtual std::string name() = 0;
};
class CloudSizeBasedCumulativeCompactionPolicy : public CloudCumulativeCompactionPolicy {
public:
CloudSizeBasedCumulativeCompactionPolicy(
int64_t promotion_size = config::compaction_promotion_size_mbytes * 1024 * 1024,
double promotion_ratio = config::compaction_promotion_ratio,
int64_t promotion_min_size = config::compaction_promotion_min_size_mbytes * 1024 * 1024,
int64_t compaction_min_size = config::compaction_min_size_mbytes * 1024 * 1024);
~CloudSizeBasedCumulativeCompactionPolicy() override = default;
int64_t new_cumulative_point(CloudTablet* tablet, const RowsetSharedPtr& output_rowset,
Version& last_delete_version,
int64_t last_cumulative_point) override;
int64_t get_compaction_level(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& input_rowsets,
RowsetSharedPtr output_rowset) override {
return 0;
}
int64_t pick_input_rowsets(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& candidate_rowsets,
const int64_t max_compaction_score,
const int64_t min_compaction_score,
std::vector<RowsetSharedPtr>* input_rowsets,
Version* last_delete_version, size_t* compaction_score,
bool allow_delete = false) override;
std::string name() override { return "size_based"; }
private:
int64_t _level_size(const int64_t size);
int64_t cloud_promotion_size(CloudTablet* tablet) const;
private:
/// cumulative compaction promotion size, unit is byte.
int64_t _promotion_size;
/// cumulative compaction promotion ratio of base rowset total disk size.
double _promotion_ratio;
/// cumulative compaction promotion min size, unit is byte.
int64_t _promotion_min_size;
/// lower bound size to do compaction compaction.
int64_t _compaction_min_size;
};
class CloudTimeSeriesCumulativeCompactionPolicy : public CloudCumulativeCompactionPolicy {
public:
CloudTimeSeriesCumulativeCompactionPolicy() = default;
~CloudTimeSeriesCumulativeCompactionPolicy() override = default;
int64_t new_cumulative_point(CloudTablet* tablet, const RowsetSharedPtr& output_rowset,
Version& last_delete_version,
int64_t last_cumulative_point) override;
int64_t get_compaction_level(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& input_rowsets,
RowsetSharedPtr output_rowset) override;
int64_t pick_input_rowsets(CloudTablet* tablet,
const std::vector<RowsetSharedPtr>& candidate_rowsets,
const int64_t max_compaction_score,
const int64_t min_compaction_score,
std::vector<RowsetSharedPtr>* input_rowsets,
Version* last_delete_version, size_t* compaction_score,
bool allow_delete = false) override;
std::string name() override { return "time_series"; }
};
void find_longest_consecutive_empty_rowsets(std::vector<RowsetSharedPtr>* result,
const std::vector<RowsetSharedPtr>& candidate_rowsets);
} // namespace doris