doris/be/src/exec/tablet_info.h

// 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 <cstdint>
#include <functional>
#include <iterator>
#include <map>
#include <memory>
#include <string>
#include <tuple>
#include <unordered_map>
#include <utility>
#include <vector>

#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_context.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;
    }

    bool is_partial_update() const { return _is_partial_update; }
    std::set<std::string> partial_update_input_columns() const {
        return _partial_update_input_columns;
    }
    bool is_strict_mode() const { return _is_strict_mode; }
    std::string debug_string() const;

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;
    bool _is_partial_update = false;
    std::set<std::string> _partial_update_input_columns;
    bool _is_strict_mode = false;
};

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, column, 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)
            : 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
    //TODO: use virtual function to refactor it
    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});
        // 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().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; }

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

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

    Status _create_partition_key(const TExprNode& t_expr, BlockRow* part_key, uint16_t pos);

    // 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).
    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;

    // for auto partition, now only support 1 column. TODO: use vector to save them when we support multi column auto-partition.
    bool _is_auto_partition = false;
    vectorized::VExprContextSPtrs _part_func_ctx = {nullptr};
    vectorized::VExprSPtrs _partition_function = {nullptr};
    TPartitionType::type _part_type; // support list or range
};

// 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 (auto& node : t_nodes.nodes) {
            _nodes.emplace(node.id, node);
        }
    }
    void setNodes(const TPaloNodesInfo& t_nodes) {
        _nodes.clear();
        for (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) {
            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