// 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 <gen_cpp/Types_types.h>

#include <netinet/in.h>

#include <atomic>

#include <charconv>

#include <cstdint>

#include <functional>

#include <list>

#include <map>

#include <memory>

#include <ostream>

#include <sstream>

#include <string>

#include <typeinfo>

#include <unordered_map>

#include <unordered_set>

#include <utility>

#include "common/cast_set.h"

#include "common/config.h"

#include "common/exception.h"

#include "core/extended_types.h"

#include "io/io_common.h"

#include "storage/field_type.h"

#include "storage/index/inverted/inverted_index_stats.h"

#include "storage/index/snii/snii_query_stats.h"

#include "storage/olap_define.h"

#include "storage/rowset/rowset_fwd.h"

#include "storage/rowset_id.h"

#include "util/hash_util.hpp"

#include "util/time.h"

#include "util/uid_util.h"

namespace doris {

using SchemaHash = int32_t;

using TabletUid = UniqueId;

enum CompactionType {

    BASE_COMPACTION = 1,

    CUMULATIVE_COMPACTION = 2,

    FULL_COMPACTION = 3,

    // Only used by scheduler to route row-binlog tablets to the binlog thread pool.

    CUMU_BINLOG_COMPACTION = 4

};

struct CompactionScoreStats {

    int64_t max_score = 0;

    int64_t size_based_max_score = 0;

    int64_t time_series_max_score = 0;

    bool scanned = false;

};

enum DataDirType {

    SPILL_DISK_DIR,

    OLAP_DATA_DIR,

    DATA_CACHE_DIR,

};

struct DataDirInfo {

    std::string path;

    size_t path_hash = 0;

    int64_t disk_capacity = 1; // actual disk capacity

    int64_t available = 0;     // available space, in bytes unit

    int64_t local_used_capacity = 0;

    int64_t remote_used_capacity = 0;

    int64_t trash_used_capacity = 0;

    bool is_used = false;                                      // whether available mark

    TStorageMedium::type storage_medium = TStorageMedium::HDD; // Storage medium type: SSD|HDD

    DataDirType data_dir_type = DataDirType::OLAP_DATA_DIR;

    std::string metric_name;

};

// Sort DataDirInfo by available space.

struct DataDirInfoLessAvailability {

    bool operator()(const DataDirInfo& left, const DataDirInfo& right) const {

        return left.available < right.available;

    }

};

struct TabletInfo {

    TabletInfo(TTabletId in_tablet_id, UniqueId in_uid)

            : tablet_id(in_tablet_id), tablet_uid(in_uid) {}

    bool operator<(const TabletInfo& right) const {

        if (tablet_id != right.tablet_id) {

            return tablet_id < right.tablet_id;

        } else {

            return tablet_uid < right.tablet_uid;

        }

    }

    std::string to_string() const {

        std::stringstream ss;

        ss << tablet_id << "." << tablet_uid.to_string();

        return ss.str();

    }

    TTabletId tablet_id;

    UniqueId tablet_uid;

};

struct TabletSize {

    TabletSize(TTabletId in_tablet_id, size_t in_tablet_size)

            : tablet_id(in_tablet_id), tablet_size(in_tablet_size) {}

    TTabletId tablet_id;

    size_t tablet_size;

};

// FieldType moved to storage/field_type.h (included above) so that

// data-type headers can name storage cell types without pulling in the

// whole of olap_common.h.

// Define all aggregation methods supported by TabletColumn

// Note that in practice, not all types can use all the following aggregation methods

// For example, it is meaningless to use SUM for the string type (but it will not cause the program to crash)

// The implementation of the TabletColumn class does not perform such checks, and should be constrained when creating the table

enum class FieldAggregationMethod {

    OLAP_FIELD_AGGREGATION_NONE = 0,

    OLAP_FIELD_AGGREGATION_SUM = 1,

    OLAP_FIELD_AGGREGATION_MIN = 2,

    OLAP_FIELD_AGGREGATION_MAX = 3,

    OLAP_FIELD_AGGREGATION_REPLACE = 4,

    OLAP_FIELD_AGGREGATION_HLL_UNION = 5,

    OLAP_FIELD_AGGREGATION_UNKNOWN = 6,

    OLAP_FIELD_AGGREGATION_BITMAP_UNION = 7,

    // Replace if and only if added value is not null

    OLAP_FIELD_AGGREGATION_REPLACE_IF_NOT_NULL = 8,

    OLAP_FIELD_AGGREGATION_QUANTILE_UNION = 9,

    OLAP_FIELD_AGGREGATION_GENERIC = 10

};

enum class PushType {

    PUSH_NORMAL = 1,          // for broker/hadoop load, not used any more

    PUSH_FOR_DELETE = 2,      // for delete

    PUSH_FOR_LOAD_DELETE = 3, // not used any more

    PUSH_NORMAL_V2 = 4,       // for spark load

};

// <start_version_id, end_version_id>, such as <100, 110>

//using Version = std::pair<TupleVersion, TupleVersion>;

struct Version {

    int64_t first;

    int64_t second;

    Version(int64_t first_, int64_t second_) : first(first_), second(second_) {}

    Version() : first(0), second(0) {}

    static Version mock() {

        // Every time SchemaChange is used for external rowing, some temporary versions (such as 999, 1000, 1001) will be written, in order to avoid Cache conflicts, temporary

        // The version number takes a BIG NUMBER plus the version number of the current SchemaChange

        return Version(1 << 28, 1 << 29);

    }

    friend std::ostream& operator<<(std::ostream& os, const Version& version);

    bool operator!=(const Version& rhs) const { return first != rhs.first || second != rhs.second; }

    bool operator==(const Version& rhs) const { return first == rhs.first && second == rhs.second; }

    bool contains(const Version& other) const {

        return first <= other.first && second >= other.second;

    }

    std::string to_string() const { return fmt::format("[{}-{}]", first, second); }

};

struct TsoRange : public Version {

    TsoRange() : Version(-1, -1) {}

    TsoRange(int64_t start_tso, int64_t end_tso) : Version(start_tso, end_tso) {}

    int64_t start_tso() const { return first; }

    int64_t end_tso() const { return second; }

    bool contains(const TsoRange& other) const { return Version::contains(other); }

};

using Versions = std::vector<Version>;

inline std::ostream& operator<<(std::ostream& os, const Version& version) {

    return os << version.to_string();

}

inline std::ostream& operator<<(std::ostream& os, const Versions& versions) {

    for (auto& version : versions) {

        os << version;

    }

    return os;

}

// used for hash-struct of hash_map<Version, Rowset*>.

struct HashOfVersion {

    size_t operator()(const Version& version) const {

        size_t seed = 0;

        seed = HashUtil::hash64(&version.first, sizeof(version.first), seed);

        seed = HashUtil::hash64(&version.second, sizeof(version.second), seed);

        return seed;

    }

};

// It is used to represent Graph vertex.

struct Vertex {

    int64_t value = 0;

    std::list<int64_t> edges;

    Vertex(int64_t v) : value(v) {}

};

// ReaderStatistics used to collect statistics when scan data from storage

struct OlapReaderStatistics {

    int64_t io_ns = 0;

    int64_t compressed_bytes_read = 0;

    int64_t decompress_ns = 0;

    int64_t uncompressed_bytes_read = 0;

    // total read bytes in memory

    int64_t bytes_read = 0;

    int64_t block_fetch_ns = 0; // time of rowset reader's `next_batch()` call

    int64_t block_load_ns = 0;

    int64_t blocks_load = 0;

    // Not used any more, will be removed after non-vectorized code is removed

    int64_t block_seek_num = 0;

    // Not used any more, will be removed after non-vectorized code is removed

    int64_t block_seek_ns = 0;

    // block_load_ns

    //      block_init_ns

    //          block_init_seek_ns

    //          generate_row_ranges_ns

    //      predicate_column_read_ns

    //          predicate_column_read_seek_ns

    //      lazy_read_ns

    //          block_lazy_read_seek_ns

    int64_t block_init_ns = 0;

    int64_t block_init_seek_num = 0;

    int64_t block_init_seek_ns = 0;

    int64_t predicate_column_read_ns = 0;

    int64_t non_predicate_read_ns = 0;

    int64_t predicate_column_read_seek_num = 0;

    int64_t predicate_column_read_seek_ns = 0;

    int64_t lazy_read_ns = 0;

    int64_t block_lazy_read_seek_num = 0;

    int64_t block_lazy_read_seek_ns = 0;

    int64_t lazy_read_pruned_ns = 0;

    int64_t raw_rows_read = 0;

    int64_t rows_vec_cond_filtered = 0;

    int64_t rows_short_circuit_cond_filtered = 0;

    int64_t rows_expr_cond_filtered = 0;

    int64_t vec_cond_input_rows = 0;

    int64_t short_circuit_cond_input_rows = 0;

    int64_t expr_cond_input_rows = 0;

    int64_t rows_vec_del_cond_filtered = 0;

    int64_t vec_cond_ns = 0;

    int64_t short_cond_ns = 0;

    int64_t expr_filter_ns = 0;

    int64_t output_col_ns = 0;

    int64_t rows_key_range_filtered = 0;

    int64_t rows_stats_filtered = 0;

    int64_t rows_stats_rp_filtered = 0;

    int64_t expr_zonemap_filtered_segments = 0;

    int64_t expr_zonemap_filtered_pages = 0;

    int64_t expr_zonemap_unusable_evals = 0;

    int64_t in_zonemap_point_check_count = 0;

    int64_t in_zonemap_range_only_count = 0;

    int64_t rows_bf_filtered = 0;

    int64_t segment_dict_filtered = 0;

    // Including the number of rows filtered out according to the Delete information in the Tablet,

    // and the number of rows filtered for marked deleted rows under the unique key model.

    // This metric is mainly used to record the number of rows filtered by the delete condition in Segment V1,

    // and it is also used to record the replaced rows in the Unique key model in the "Reader" class.

    // In segmentv2, if you want to get all filtered rows, you need the sum of "rows_del_filtered" and "rows_conditions_filtered".

    int64_t rows_del_filtered = 0;

    int64_t rows_del_by_bitmap = 0;

    // the number of rows filtered by various column indexes.

    int64_t rows_conditions_filtered = 0;

    int64_t generate_row_ranges_by_keys_ns = 0;

    int64_t generate_row_ranges_by_column_conditions_ns = 0;

    int64_t generate_row_ranges_by_bf_ns = 0;

    int64_t generate_row_ranges_by_zonemap_ns = 0;

    int64_t generate_row_ranges_by_dict_ns = 0;

    int64_t index_load_ns = 0;

    int64_t total_pages_num = 0;

    int64_t cached_pages_num = 0;

    int64_t rows_inverted_index_filtered = 0;

    int64_t inverted_index_filter_timer = 0;

    int64_t inverted_index_query_timer = 0;

    int64_t inverted_index_query_cache_hit = 0;

    int64_t inverted_index_query_cache_miss = 0;

    int64_t inverted_index_query_cache_lookup = 0;

    int64_t inverted_index_query_cache_insert = 0;

    int64_t inverted_index_query_null_bitmap_timer = 0;

    int64_t inverted_index_query_bitmap_copy_timer = 0;

    int64_t inverted_index_searcher_open_timer = 0;

    int64_t inverted_index_searcher_search_timer = 0;

    int64_t inverted_index_searcher_search_init_timer = 0;

    int64_t inverted_index_searcher_search_exec_timer = 0;

    int64_t inverted_index_searcher_cache_hit = 0;

    int64_t inverted_index_searcher_cache_miss = 0;

    int64_t inverted_index_downgrade_count = 0;

    int64_t inverted_index_analyzer_timer = 0;

    int64_t inverted_index_lookup_timer = 0;

    // See snii_query_stats.h: one field here instead of one per SNII counter.

    snii::SniiQueryStats snii_stats;

    InvertedIndexStatistics inverted_index_stats;

    int64_t ann_index_load_ns = 0;

    int64_t ann_topn_search_ns = 0;

    int64_t ann_index_topn_search_cnt = 0;

    int64_t ann_ivf_on_disk_load_ns = 0;

    int64_t ann_ivf_on_disk_cache_hit_cnt = 0;

    int64_t ann_ivf_on_disk_cache_miss_cnt = 0;

    int64_t ann_index_cache_hits = 0;

    // Detailed timing for ANN operations

    int64_t ann_index_topn_engine_search_ns = 0;  // time spent in engine for range search

    int64_t ann_index_topn_result_process_ns = 0; // time spent processing TopN results

    int64_t ann_index_topn_engine_convert_ns = 0; // time spent on FAISS-side conversions (TopN)

    int64_t ann_index_topn_engine_prepare_ns =

            0; // time spent preparing before engine search (TopN)

    int64_t rows_ann_index_topn_filtered = 0;

    int64_t ann_index_range_search_ns = 0;

    int64_t ann_index_range_search_cnt = 0;

    // Detailed timing for ANN Range search

    int64_t ann_range_engine_search_ns = 0; // time spent in engine for range search

    int64_t ann_range_pre_process_ns = 0;   // time spent preparing before engine search

    int64_t ann_range_result_convert_ns = 0; // time spent processing range results

    int64_t ann_range_engine_convert_ns = 0; // time spent on FAISS-side conversions (Range)

    int64_t rows_ann_index_range_filtered = 0;

    int64_t ann_index_range_cache_hits = 0;

    int64_t ann_fall_back_brute_force_cnt = 0;

    int64_t ann_topn_fallback_by_small_candidate_cnt = 0;

    int64_t ann_topn_fallback_small_candidate_rows = 0;

    int64_t ann_range_fallback_by_small_candidate_cnt = 0;

    int64_t ann_range_fallback_small_candidate_rows = 0;

    int64_t output_index_result_column_timer = 0;

    // number of segment filtered by column stat when creating seg iterator

    int64_t filtered_segment_number = 0;

    // number of segment with condition cache hit

    int64_t condition_cache_hit_seg_nums = 0;

    // number of rows filtered by condition cache hit

    int64_t condition_cache_filtered_rows = 0;

    // total number of segment

    int64_t total_segment_number = 0;

    io::FileCacheStatistics file_cache_stats;

    int64_t load_segments_timer = 0;

    int64_t collect_iterator_merge_next_timer = 0;

    int64_t collect_iterator_normal_next_timer = 0;

    int64_t delete_bitmap_get_agg_ns = 0;

    int64_t tablet_reader_init_timer_ns = 0;

    int64_t tablet_reader_capture_rs_readers_timer_ns = 0;

    int64_t tablet_reader_init_return_columns_timer_ns = 0;

    int64_t tablet_reader_init_keys_param_timer_ns = 0;

    int64_t tablet_reader_init_orderby_keys_param_timer_ns = 0;

    int64_t tablet_reader_init_conditions_param_timer_ns = 0;

    int64_t tablet_reader_init_delete_condition_param_timer_ns = 0;

    int64_t block_reader_vcollect_iter_init_timer_ns = 0;

    int64_t block_reader_rs_readers_init_timer_ns = 0;

    int64_t block_reader_build_heap_init_timer_ns = 0;

    int64_t rowset_reader_get_segment_iterators_timer_ns = 0;

    int64_t rowset_reader_create_iterators_timer_ns = 0;

    int64_t rowset_reader_init_iterators_timer_ns = 0;

    int64_t rowset_reader_load_segments_timer_ns = 0;

    int64_t segment_iterator_init_timer_ns = 0;

    int64_t segment_iterator_init_return_column_iterators_timer_ns = 0;

    int64_t segment_iterator_init_index_iterators_timer_ns = 0;

    int64_t segment_iterator_init_segment_prefetchers_timer_ns = 0;

    int64_t segment_create_column_readers_timer_ns = 0;

    int64_t segment_load_index_timer_ns = 0;

    int64_t adaptive_batch_size_predict_min_rows = INT64_MAX;

    int64_t adaptive_batch_size_predict_max_rows = 0;

    int64_t variant_scan_sparse_column_timer_ns = 0;

    int64_t variant_scan_sparse_column_bytes = 0;

    int64_t variant_fill_path_from_sparse_column_timer_ns = 0;

    int64_t variant_subtree_default_iter_count = 0;

    int64_t variant_subtree_leaf_iter_count = 0;

    int64_t variant_subtree_hierarchical_iter_count = 0;

    int64_t variant_subtree_sparse_iter_count = 0;

    int64_t variant_doc_value_column_iter_count = 0;

};

using ColumnId = uint32_t;

// Column unique id set

using UniqueIdSet = std::set<uint32_t>;

// Column unique Id -> column id map

using UniqueIdToColumnIdMap = std::map<ColumnId, ColumnId>;

// RowsetId moved to storage/rowset_id.h (included above): core/column/column.h

// needs the complete type, and this way it gets it without the rest of

// olap_common.h.

using RowsetIdUnorderedSet = std::unordered_set<RowsetId>;

// Extract rowset id from filename, return uninitialized rowset id if filename is invalid

inline RowsetId extract_rowset_id(std::string_view filename) {

    RowsetId rowset_id;

    if (filename.ends_with(".dat")) {

        // filename format: {rowset_id}_{segment_num}.dat

        auto end = filename.find('_');

        if (end == std::string::npos) {

            return rowset_id;

        }

        rowset_id.init(filename.substr(0, end));

        return rowset_id;

    }

    if (filename.ends_with(".idx")) {

        // filename format: {rowset_id}_{segment_num}_{index_id}.idx

        auto end = filename.find('_');

        if (end == std::string::npos) {

            return rowset_id;

        }

        rowset_id.init(filename.substr(0, end));

        return rowset_id;

    }

    return rowset_id;

}

class DeleteBitmap;

// merge on write context

struct MowContext {

    MowContext(int64_t version, int64_t txnid, std::shared_ptr<RowsetIdUnorderedSet> ids,

               std::vector<RowsetSharedPtr> rowset_ptrs, std::shared_ptr<DeleteBitmap> db)

            : max_version(version),

              txn_id(txnid),

              rowset_ids(std::move(ids)),

              rowset_ptrs(std::move(rowset_ptrs)),

              delete_bitmap(std::move(db)) {}

    int64_t max_version;

    int64_t txn_id;

    std::shared_ptr<RowsetIdUnorderedSet> rowset_ids;

    std::vector<RowsetSharedPtr> rowset_ptrs;

    std::shared_ptr<DeleteBitmap> delete_bitmap;

};

// used for controll compaction

struct VersionWithTime {

    std::atomic<int64_t> version;

    int64_t update_ts;

    VersionWithTime() : version(0), update_ts(MonotonicMillis()) {}

    void update_version_monoto(int64_t new_version) {

        int64_t cur_version = version.load(std::memory_order_relaxed);

        while (cur_version < new_version) {

            if (version.compare_exchange_strong(cur_version, new_version, std::memory_order_relaxed,

                                                std::memory_order_relaxed)) {

                update_ts = MonotonicMillis();

                break;

            }

        }

    }

};

} // namespace doris