// 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 "common/config.h"

#include "io/io_common.h"

#include "olap/inverted_index_stats.h"

#include "olap/olap_define.h"

#include "olap/rowset/rowset_fwd.h"

#include "util/hash_util.hpp"

#include "util/time.h"

#include "util/uid_util.h"

namespace doris {

static constexpr int64_t MAX_ROWSET_ID = 1L << 56;

static constexpr int64_t LOW_56_BITS = 0x00ffffffffffffff;

using SchemaHash = int32_t;

using int128_t = __int128;

using uint128_t = unsigned __int128;

using TabletUid = UniqueId;

enum CompactionType { BASE_COMPACTION = 1, CUMULATIVE_COMPACTION = 2, FULL_COMPACTION = 3 };

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;

};

struct PredicateFilterInfo {

    int type = 0;

    uint64_t input_row = 0;

    uint64_t filtered_row = 0;

};

// 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;

};

// Define all data types supported by Field.

// If new filed_type is defined, not only new TypeInfo may need be defined,

// but also some functions like get_type_info in types.cpp need to be changed.

enum class FieldType {

    OLAP_FIELD_TYPE_TINYINT = 1, // MYSQL_TYPE_TINY

    OLAP_FIELD_TYPE_UNSIGNED_TINYINT = 2,

    OLAP_FIELD_TYPE_SMALLINT = 3, // MYSQL_TYPE_SHORT

    OLAP_FIELD_TYPE_UNSIGNED_SMALLINT = 4,

    OLAP_FIELD_TYPE_INT = 5, // MYSQL_TYPE_LONG

    OLAP_FIELD_TYPE_UNSIGNED_INT = 6,

    OLAP_FIELD_TYPE_BIGINT = 7, // MYSQL_TYPE_LONGLONG

    OLAP_FIELD_TYPE_UNSIGNED_BIGINT = 8,

    OLAP_FIELD_TYPE_LARGEINT = 9,

    OLAP_FIELD_TYPE_FLOAT = 10,  // MYSQL_TYPE_FLOAT

    OLAP_FIELD_TYPE_DOUBLE = 11, // MYSQL_TYPE_DOUBLE

    OLAP_FIELD_TYPE_DISCRETE_DOUBLE = 12,

    OLAP_FIELD_TYPE_CHAR = 13,     // MYSQL_TYPE_STRING

    OLAP_FIELD_TYPE_DATE = 14,     // MySQL_TYPE_NEWDATE

    OLAP_FIELD_TYPE_DATETIME = 15, // MySQL_TYPE_DATETIME

    OLAP_FIELD_TYPE_DECIMAL = 16,  // DECIMAL, using different store format against MySQL

    OLAP_FIELD_TYPE_VARCHAR = 17,

    OLAP_FIELD_TYPE_STRUCT = 18,  // Struct

    OLAP_FIELD_TYPE_ARRAY = 19,   // ARRAY

    OLAP_FIELD_TYPE_MAP = 20,     // Map

    OLAP_FIELD_TYPE_UNKNOWN = 21, // UNKNOW OLAP_FIELD_TYPE_STRING

    OLAP_FIELD_TYPE_NONE = 22,

    OLAP_FIELD_TYPE_HLL = 23,

    OLAP_FIELD_TYPE_BOOL = 24,

    OLAP_FIELD_TYPE_OBJECT = 25,

    OLAP_FIELD_TYPE_STRING = 26,

    OLAP_FIELD_TYPE_QUANTILE_STATE = 27,

    OLAP_FIELD_TYPE_DATEV2 = 28,

    OLAP_FIELD_TYPE_DATETIMEV2 = 29,

    OLAP_FIELD_TYPE_TIMEV2 = 30,

    OLAP_FIELD_TYPE_DECIMAL32 = 31,

    OLAP_FIELD_TYPE_DECIMAL64 = 32,

    OLAP_FIELD_TYPE_DECIMAL128I = 33,

    OLAP_FIELD_TYPE_JSONB = 34,

    OLAP_FIELD_TYPE_VARIANT = 35,

    OLAP_FIELD_TYPE_AGG_STATE = 36,

    OLAP_FIELD_TYPE_DECIMAL256 = 37,

    OLAP_FIELD_TYPE_IPV4 = 38,

    OLAP_FIELD_TYPE_IPV6 = 39,

};

// Define all aggregation methods supported by Field

// 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 Field 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

};

constexpr bool field_is_slice_type(const FieldType& field_type) {

    return field_type == FieldType::OLAP_FIELD_TYPE_VARCHAR ||

           field_type == FieldType::OLAP_FIELD_TYPE_CHAR ||

           field_type == FieldType::OLAP_FIELD_TYPE_STRING;

}

constexpr bool field_is_numeric_type(const FieldType& field_type) {

    return field_type == FieldType::OLAP_FIELD_TYPE_INT ||

           field_type == FieldType::OLAP_FIELD_TYPE_UNSIGNED_INT ||

           field_type == FieldType::OLAP_FIELD_TYPE_BIGINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_SMALLINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_UNSIGNED_TINYINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_UNSIGNED_SMALLINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_TINYINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_DOUBLE ||

           field_type == FieldType::OLAP_FIELD_TYPE_FLOAT ||

           field_type == FieldType::OLAP_FIELD_TYPE_DATE ||

           field_type == FieldType::OLAP_FIELD_TYPE_DATEV2 ||

           field_type == FieldType::OLAP_FIELD_TYPE_DATETIME ||

           field_type == FieldType::OLAP_FIELD_TYPE_DATETIMEV2 ||

           field_type == FieldType::OLAP_FIELD_TYPE_LARGEINT ||

           field_type == FieldType::OLAP_FIELD_TYPE_DECIMAL ||

           field_type == FieldType::OLAP_FIELD_TYPE_DECIMAL32 ||

           field_type == FieldType::OLAP_FIELD_TYPE_DECIMAL64 ||

           field_type == FieldType::OLAP_FIELD_TYPE_DECIMAL128I ||

           field_type == FieldType::OLAP_FIELD_TYPE_DECIMAL256 ||

           field_type == FieldType::OLAP_FIELD_TYPE_BOOL ||

           field_type == FieldType::OLAP_FIELD_TYPE_IPV4 ||

           field_type == FieldType::OLAP_FIELD_TYPE_IPV6;

}

// <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); }

};

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) {}

};

class Field;

class WrapperField;

using KeyRange = std::pair<WrapperField*, WrapperField*>;

// 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

    //          block_conditions_filtered_ns

    //      first_read_ns

    //          block_first_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 first_read_ns = 0;

    int64_t second_read_ns = 0;

    int64_t block_first_read_seek_num = 0;

    int64_t block_first_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 block_convert_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 vec_cond_input_rows = 0;

    int64_t short_circuit_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;

    std::map<int, PredicateFilterInfo> filter_info;

    int64_t rows_key_range_filtered = 0;

    int64_t rows_stats_filtered = 0;

    int64_t rows_stats_rp_filtered = 0;

    int64_t rows_bf_filtered = 0;

    int64_t rows_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 block_conditions_filtered_ns = 0;

    int64_t block_conditions_filtered_bf_ns = 0;

    int64_t block_conditions_filtered_zonemap_ns = 0;

    int64_t block_conditions_filtered_zonemap_rp_ns = 0;

    int64_t block_conditions_filtered_dict_ns = 0;

    int64_t index_load_ns = 0;

    int64_t total_pages_num = 0;

    int64_t cached_pages_num = 0;

    int64_t rows_bitmap_index_filtered = 0;

    int64_t bitmap_index_filter_timer = 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_null_bitmap_timer = 0;

    int64_t inverted_index_query_bitmap_copy_timer = 0;

    int64_t inverted_index_query_bitmap_op_timer = 0;

    int64_t inverted_index_searcher_open_timer = 0;

    int64_t inverted_index_searcher_search_timer = 0;

    int64_t inverted_index_searcher_cache_hit = 0;

    int64_t inverted_index_searcher_cache_miss = 0;

    InvertedIndexStatistics inverted_index_stats;

    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;

    // 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_bitmap_index_iterators_timer_ns = 0;

    int64_t segment_iterator_init_inverted_index_iterators_timer_ns = 0;

    int64_t segment_create_column_readers_timer_ns = 0;

    int64_t segment_load_index_timer_ns = 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>;

struct RowsetId;

RowsetId next_rowset_id();

// 8 bit rowset id version

// 56 bit, inc number from 1

// 128 bit backend uid, it is a uuid bit, id version

struct RowsetId {

    int8_t version = 0;

    int64_t hi = 0;

    int64_t mi = 0;

    int64_t lo = 0;

    void init(std::string_view rowset_id_str) {

        // for new rowsetid its a 48 hex string

        // if the len < 48, then it is an old format rowset id

        if (rowset_id_str.length() < 48) [[unlikely]] {

            int64_t high;

            auto [_, ec] = std::from_chars(rowset_id_str.data(),

                                           rowset_id_str.data() + rowset_id_str.length(), high);

            if (ec != std::errc {}) [[unlikely]] {

                if (config::force_regenerate_rowsetid_on_start_error) {

                    LOG(WARNING) << "failed to init rowset id: " << rowset_id_str;

                    high = next_rowset_id().hi;

                } else {

                    LOG(FATAL) << "failed to init rowset id: " << rowset_id_str;

                }

            }

            init(1, high, 0, 0);

        } else {

            int64_t high = 0;

            int64_t middle = 0;

            int64_t low = 0;

            from_hex(&high, rowset_id_str.substr(0, 16));

            from_hex(&middle, rowset_id_str.substr(16, 16));

            from_hex(&low, rowset_id_str.substr(32, 16));

            init(high >> 56, high & LOW_56_BITS, middle, low);

        }

    }

    // to compatible with old version

    void init(int64_t rowset_id) { init(1, rowset_id, 0, 0); }

    void init(int64_t id_version, int64_t high, int64_t middle, int64_t low) {

        version = id_version;

        if (UNLIKELY(high >= MAX_ROWSET_ID)) {

            LOG(FATAL) << "inc rowsetid is too large:" << high;

        }

        hi = (id_version << 56) + (high & LOW_56_BITS);

        mi = middle;

        lo = low;

    }

    std::string to_string() const {

        if (version < 2) {

            return std::to_string(hi & LOW_56_BITS);

        } else {

            char buf[48];

            to_hex(hi, buf);

            to_hex(mi, buf + 16);

            to_hex(lo, buf + 32);

            return {buf, 48};

        }

    }

    // std::unordered_map need this api

    bool operator==(const RowsetId& rhs) const {

        return hi == rhs.hi && mi == rhs.mi && lo == rhs.lo;

    }

    bool operator!=(const RowsetId& rhs) const {

        return hi != rhs.hi || mi != rhs.mi || lo != rhs.lo;

    }

    bool operator<(const RowsetId& rhs) const {

        if (hi != rhs.hi) {

            return hi < rhs.hi;

        } else if (mi != rhs.mi) {

            return mi < rhs.mi;

        } else {

            return lo < rhs.lo;

        }

    }

    friend std::ostream& operator<<(std::ostream& out, const RowsetId& rowset_id) {

        out << rowset_id.to_string();

        return out;

    }

};

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, const RowsetIdUnorderedSet& ids,

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

            : max_version(version),

              txn_id(txnid),

              rowset_ids(ids),

              rowset_ptrs(rowset_ptrs),

              delete_bitmap(db) {}

    int64_t max_version;

    int64_t txn_id;

    const RowsetIdUnorderedSet& rowset_ids;

    std::vector<RowsetSharedPtr> rowset_ptrs;

    std::shared_ptr<DeleteBitmap> delete_bitmap;

};

// used in mow partial update

struct RidAndPos {

    uint32_t rid;

    // pos in block

    size_t pos;

};

using PartialUpdateReadPlan = std::map<RowsetId, std::map<uint32_t, std::vector<RidAndPos>>>;

// 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

// This intended to be a "good" hash function.  It may change from time to time.

template <>

struct std::hash<doris::RowsetId> {

    size_t operator()(const doris::RowsetId& rowset_id) const {

        size_t seed = 0;

        seed = doris::HashUtil::xxHash64WithSeed((const char*)&rowset_id.hi, sizeof(rowset_id.hi),

                                                 seed);

        seed = doris::HashUtil::xxHash64WithSeed((const char*)&rowset_id.mi, sizeof(rowset_id.mi),

                                                 seed);

        seed = doris::HashUtil::xxHash64WithSeed((const char*)&rowset_id.lo, sizeof(rowset_id.lo),

                                                 seed);

        return seed;

    }

};