// 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 <butil/fast_rand.h>

#include <gen_cpp/Descriptors_types.h>

#include <gen_cpp/descriptors.pb.h>

#include <gen_cpp/olap_file.pb.h>

#include <cstdint>

#include <functional>

#include <iterator>

#include <map>

#include <memory>

#include <string>

#include <tuple>

#include <unordered_map>

#include <utility>

#include <vector>

#include "common/logging.h"

#include "common/object_pool.h"

#include "common/status.h"

#include "runtime/descriptors.h"

#include "runtime/raw_value.h"

#include "vec/columns/column.h"

#include "vec/core/block.h"

#include "vec/core/column_with_type_and_name.h"

#include "vec/exprs/vexpr.h"

#include "vec/exprs/vexpr_fwd.h"

namespace doris {

class MemTracker;

class SlotDescriptor;

class TExprNode;

class TabletColumn;

class TabletIndex;

class TupleDescriptor;

struct OlapTableIndexSchema {

    int64_t index_id;

    std::vector<SlotDescriptor*> slots;

    int32_t schema_hash;

    std::vector<TabletColumn*> columns;

    std::vector<TabletIndex*> indexes;

    vectorized::VExprContextSPtr where_clause;

    void to_protobuf(POlapTableIndexSchema* pindex) const;

};

class OlapTableSchemaParam {

public:

    OlapTableSchemaParam() = default;

    ~OlapTableSchemaParam() noexcept = default;

    Status init(const TOlapTableSchemaParam& tschema);

    Status init(const POlapTableSchemaParam& pschema);

    int64_t db_id() const { return _db_id; }

    int64_t table_id() const { return _table_id; }

    int64_t version() const { return _version; }

    TupleDescriptor* tuple_desc() const { return _tuple_desc; }

    const std::vector<OlapTableIndexSchema*>& indexes() const { return _indexes; }

    void to_protobuf(POlapTableSchemaParam* pschema) const;

    // NOTE: this function is not thread-safe.

    POlapTableSchemaParam* to_protobuf() const {

        if (_proto_schema == nullptr) {

            _proto_schema = _obj_pool.add(new POlapTableSchemaParam());

            to_protobuf(_proto_schema);

        }

        return _proto_schema;

    }

    UniqueKeyUpdateModePB unique_key_update_mode() const { return _unique_key_update_mode; }

    bool is_partial_update() const {

        return _unique_key_update_mode != UniqueKeyUpdateModePB::UPSERT;

    }

    bool is_fixed_partial_update() const {

        return _unique_key_update_mode == UniqueKeyUpdateModePB::UPDATE_FIXED_COLUMNS;

    }

    bool is_flexible_partial_update() const {

        return _unique_key_update_mode == UniqueKeyUpdateModePB::UPDATE_FLEXIBLE_COLUMNS;

    }

    std::set<std::string> partial_update_input_columns() const {

        return _partial_update_input_columns;

    }

    std::string auto_increment_coulumn() const { return _auto_increment_column; }

    int32_t auto_increment_column_unique_id() const { return _auto_increment_column_unique_id; }

    void set_timestamp_ms(int64_t timestamp_ms) { _timestamp_ms = timestamp_ms; }

    int64_t timestamp_ms() const { return _timestamp_ms; }

    void set_nano_seconds(int32_t nano_seconds) { _nano_seconds = nano_seconds; }

    int32_t nano_seconds() const { return _nano_seconds; }

    void set_timezone(std::string timezone) { _timezone = timezone; }

    std::string timezone() const { return _timezone; }

    bool is_strict_mode() const { return _is_strict_mode; }

    int32_t sequence_map_col_uid() const { return _sequence_map_col_uid; }

    std::string debug_string() const;

    Status init_unique_key_update_mode(const TOlapTableSchemaParam& tschema);

private:

    int64_t _db_id;

    int64_t _table_id;

    int64_t _version;

    TupleDescriptor* _tuple_desc = nullptr;

    mutable POlapTableSchemaParam* _proto_schema = nullptr;

    std::vector<OlapTableIndexSchema*> _indexes;

    mutable ObjectPool _obj_pool;

    UniqueKeyUpdateModePB _unique_key_update_mode {UniqueKeyUpdateModePB::UPSERT};

    std::set<std::string> _partial_update_input_columns;

    bool _is_strict_mode = false;

    std::string _auto_increment_column;

    int32_t _auto_increment_column_unique_id;

    int64_t _timestamp_ms = 0;

    int32_t _nano_seconds {0};

    std::string _timezone;

    int32_t _sequence_map_col_uid {-1};

};

using OlapTableIndexTablets = TOlapTableIndexTablets;

// struct TOlapTableIndexTablets {

//     1: required i64 index_id

//     2: required list<i64> tablets

// }

using BlockRow = std::pair<vectorized::Block*, int32_t>;

using BlockRowWithIndicator =

        std::tuple<vectorized::Block*, int32_t, bool>; // [block, row, is_transformed]

struct VOlapTablePartition {

    int64_t id = 0;

    BlockRow start_key;

    BlockRow end_key;

    std::vector<BlockRow> in_keys;

    int64_t num_buckets = 0;

    std::vector<OlapTableIndexTablets> indexes;

    bool is_mutable;

    // -1 indicates partition with hash distribution

    int64_t load_tablet_idx = -1;

    VOlapTablePartition(vectorized::Block* partition_block)

            // the default value of partition bound is -1.

            : start_key {partition_block, -1}, end_key {partition_block, -1} {}

};

// this is only used by tablet_sink. so we can assume it's inited by its' descriptor.

class VOlapTablePartKeyComparator {

public:

    VOlapTablePartKeyComparator(const std::vector<uint16_t>& slot_locs,

                                const std::vector<uint16_t>& params_locs)

            : _slot_locs(slot_locs), _param_locs(params_locs) {}

    // return true if lhs < rhs

    // 'row' is -1 mean maximal boundary

    bool operator()(const BlockRowWithIndicator& lhs, const BlockRowWithIndicator& rhs) const;

private:

    const std::vector<uint16_t>& _slot_locs;

    const std::vector<uint16_t>& _param_locs;

};

// store an olap table's tablet information

class VOlapTablePartitionParam {

public:

    VOlapTablePartitionParam(std::shared_ptr<OlapTableSchemaParam>& schema,

                             const TOlapTablePartitionParam& param);

    ~VOlapTablePartitionParam();

    Status init();

    int64_t db_id() const { return _t_param.db_id; }

    int64_t table_id() const { return _t_param.table_id; }

    int64_t version() const { return _t_param.version; }

    // return true if we found this block_row in partition

    ALWAYS_INLINE bool find_partition(vectorized::Block* block, int row,

                                      VOlapTablePartition*& partition) const {

        auto it = _is_in_partition ? _partitions_map->find(std::tuple {block, row, true})

                                   : _partitions_map->upper_bound(std::tuple {block, row, true});

        VLOG_TRACE << "find row " << row << " of\n"

                   << block->dump_data() << "in:\n"

                   << _partition_block.dump_data() << "result line row: " << std::get<1>(it->first);

        // for list partition it might result in default partition

        if (_is_in_partition) {

            partition = (it != _partitions_map->end()) ? it->second : _default_partition;

            it = _partitions_map->end();

        }

        if (it != _partitions_map->end() &&

            _part_contains(it->second, std::tuple {block, row, true})) {

            partition = it->second;

        }

        return (partition != nullptr);

    }

    ALWAYS_INLINE void find_tablets(

            vectorized::Block* block, const std::vector<uint32_t>& indexes,

            const std::vector<VOlapTablePartition*>& partitions,

            std::vector<uint32_t>& tablet_indexes /*result*/,

            /*TODO: check if flat hash map will be better*/

            std::map<VOlapTablePartition*, int64_t>* partition_tablets_buffer = nullptr) const {

        std::function<uint32_t(vectorized::Block*, uint32_t, const VOlapTablePartition&)>

                compute_function;

        if (!_distributed_slot_locs.empty()) {

            //TODO: refactor by saving the hash values. then we can calculate in columnwise.

            compute_function = [this](vectorized::Block* block, uint32_t row,

                                      const VOlapTablePartition& partition) -> uint32_t {

                uint32_t hash_val = 0;

                for (unsigned short _distributed_slot_loc : _distributed_slot_locs) {

                    auto* slot_desc = _slots[_distributed_slot_loc];

                    auto& column = block->get_by_position(_distributed_slot_loc).column;

                    auto val = column->get_data_at(row);

                    if (val.data != nullptr) {

                        hash_val = RawValue::zlib_crc32(val.data, val.size,

                                                        slot_desc->type()->get_primitive_type(),

                                                        hash_val);

                    } else {

                        hash_val = HashUtil::zlib_crc_hash_null(hash_val);

                    }

                }

                return hash_val % partition.num_buckets;

            };

        } else { // random distribution

            compute_function = [](vectorized::Block* block, uint32_t row,

                                  const VOlapTablePartition& partition) -> uint32_t {

                if (partition.load_tablet_idx == -1) {

                    // for compatible with old version, just do random

                    return butil::fast_rand() % partition.num_buckets;

                }

                return partition.load_tablet_idx % partition.num_buckets;

            };

        }

        if (partition_tablets_buffer == nullptr) {

            for (auto index : indexes) {

                tablet_indexes[index] = compute_function(block, index, *partitions[index]);

            }

        } else { // use buffer

            for (auto index : indexes) {

                auto* partition = partitions[index];

                if (auto it = partition_tablets_buffer->find(partition);

                    it != partition_tablets_buffer->end()) {

                    tablet_indexes[index] = it->second; // tablet

                } else {

                    // compute and save in buffer

                    (*partition_tablets_buffer)[partition] = tablet_indexes[index] =

                            compute_function(block, index, *partitions[index]);

                }

            }

        }

    }

    const std::vector<VOlapTablePartition*>& get_partitions() const { return _partitions; }

    // it's same with auto now because we only support transformed partition in auto partition. may expand in future

    bool is_projection_partition() const { return _is_auto_partition; }

    bool is_auto_partition() const { return _is_auto_partition; }

    bool is_auto_detect_overwrite() const { return _is_auto_detect_overwrite; }

    int64_t get_overwrite_group_id() const { return _overwrite_group_id; }

    std::vector<uint16_t> get_partition_keys() const { return _partition_slot_locs; }

    Status add_partitions(const std::vector<TOlapTablePartition>& partitions);

    // no need to del/reinsert partition keys, but change the link. reset the _partitions items

    Status replace_partitions(std::vector<int64_t>& old_partition_ids,

                              const std::vector<TOlapTablePartition>& new_partitions);

    vectorized::VExprContextSPtrs get_part_func_ctx() { return _part_func_ctx; }

    vectorized::VExprSPtrs get_partition_function() { return _partition_function; }

    // which will affect _partition_block

    Status generate_partition_from(const TOlapTablePartition& t_part,

                                   VOlapTablePartition*& part_result);

    void set_transformed_slots(const std::vector<uint16_t>& new_slots) {

        _transformed_slot_locs = new_slots;

    }

private:

    Status _create_partition_keys(const std::vector<TExprNode>& t_exprs, BlockRow* part_key);

    // check if this partition contain this key

    bool _part_contains(VOlapTablePartition* part, BlockRowWithIndicator key) const;

    // this partition only valid in this schema

    std::shared_ptr<OlapTableSchemaParam> _schema;

    TOlapTablePartitionParam _t_param;

    const std::vector<SlotDescriptor*>& _slots;

    std::vector<uint16_t> _partition_slot_locs;

    std::vector<uint16_t> _transformed_slot_locs;

    std::vector<uint16_t> _distributed_slot_locs;

    ObjectPool _obj_pool;

    vectorized::Block _partition_block;

    std::unique_ptr<MemTracker> _mem_tracker;

    std::vector<VOlapTablePartition*> _partitions;

    // For all partition value rows saved in this map, indicator is false. whenever we use a value to find in it, the param is true.

    // so that we can distinguish which column index to use (origin slots or transformed slots).

    // For range partition we ONLY SAVE RIGHT ENDS. when we find a part's RIGHT by a value, check if part's left cover it then.

    std::unique_ptr<

            std::map<BlockRowWithIndicator, VOlapTablePartition*, VOlapTablePartKeyComparator>>

            _partitions_map;

    bool _is_in_partition = false;

    uint32_t _mem_usage = 0;

    // only works when using list partition, the resource is owned by _partitions

    VOlapTablePartition* _default_partition = nullptr;

    bool _is_auto_partition = false;

    vectorized::VExprContextSPtrs _part_func_ctx = {nullptr};

    vectorized::VExprSPtrs _partition_function = {nullptr};

    TPartitionType::type _part_type; // support list or range

    // "insert overwrite partition(*)", detect which partitions by BE

    bool _is_auto_detect_overwrite = false;

    int64_t _overwrite_group_id = 0;

};

// indicate where's the tablet and all its replications (node-wise)

using TabletLocation = TTabletLocation;

// struct TTabletLocation {

//     1: required i64 tablet_id

//     2: required list<i64> node_ids

// }

class OlapTableLocationParam {

public:

    OlapTableLocationParam(const TOlapTableLocationParam& t_param) : _t_param(t_param) {

        for (auto& location : _t_param.tablets) {

            _tablets.emplace(location.tablet_id, &location);

        }

    }

    int64_t db_id() const { return _t_param.db_id; }

    int64_t table_id() const { return _t_param.table_id; }

    int64_t version() const { return _t_param.version; }

    TabletLocation* find_tablet(int64_t tablet_id) const {

        auto it = _tablets.find(tablet_id);

        if (it != std::end(_tablets)) {

            return it->second;

        }

        return nullptr;

    }

    void add_locations(std::vector<TTabletLocation>& locations) {

        for (auto& location : locations) {

            if (_tablets.find(location.tablet_id) == _tablets.end()) {

                _tablets[location.tablet_id] = &location;

            }

        }

    }

private:

    TOlapTableLocationParam _t_param;

    // [tablet_id, tablet]. tablet has id, also.

    std::unordered_map<int64_t, TabletLocation*> _tablets;

};

struct NodeInfo {

    int64_t id;

    int64_t option;

    std::string host;

    int32_t brpc_port;

    NodeInfo() = default;

    NodeInfo(const TNodeInfo& tnode)

            : id(tnode.id),

              option(tnode.option),

              host(tnode.host),

              brpc_port(tnode.async_internal_port) {}

};

class DorisNodesInfo {

public:

    DorisNodesInfo() = default;

    DorisNodesInfo(const TPaloNodesInfo& t_nodes) {

        for (const auto& node : t_nodes.nodes) {

            _nodes.emplace(node.id, node);

        }

    }

    void setNodes(const TPaloNodesInfo& t_nodes) {

        _nodes.clear();

        for (const auto& node : t_nodes.nodes) {

            _nodes.emplace(node.id, node);

        }

    }

    const NodeInfo* find_node(int64_t id) const {

        auto it = _nodes.find(id);

        if (it != std::end(_nodes)) {

            return &it->second;

        }

        return nullptr;

    }

    void add_nodes(const std::vector<TNodeInfo>& t_nodes) {

        for (const auto& node : t_nodes) {

            const auto* node_info = find_node(node.id);

            if (node_info == nullptr) {

                _nodes.emplace(node.id, node);

            }

        }

    }

    const std::unordered_map<int64_t, NodeInfo>& nodes_info() { return _nodes; }

private:

    std::unordered_map<int64_t, NodeInfo> _nodes;

};

} // namespace doris