// 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 <cstddef>

#include <memory>

#include "common/status.h"

#include "io/io_common.h"

#include "olap/block_column_predicate.h"

#include "olap/column_predicate.h"

#include "olap/olap_common.h"

#include "olap/rowset/segment_v2/ann_index/ann_topn_runtime.h"

#include "olap/rowset/segment_v2/row_ranges.h"

#include "olap/tablet_schema.h"

#include "runtime/runtime_state.h"

#include "vec/core/block.h"

#include "vec/exprs/score_runtime.h"

#include "vec/exprs/vexpr.h"

namespace doris {

class RowCursor;

class Schema;

class ColumnPredicate;

namespace vectorized {

struct IteratorRowRef;

};

namespace segment_v2 {

struct SubstreamIterator;

}

class StorageReadOptions {

public:

    struct KeyRange {

        KeyRange()

                : lower_key(nullptr),

                  include_lower(false),

                  upper_key(nullptr),

                  include_upper(false) {}

        KeyRange(const RowCursor* lower_key_, bool include_lower_, const RowCursor* upper_key_,

                 bool include_upper_)

                : lower_key(lower_key_),

                  include_lower(include_lower_),

                  upper_key(upper_key_),

                  include_upper(include_upper_) {}

        // the lower bound of the range, nullptr if not existed

        const RowCursor* lower_key = nullptr;

        // whether `lower_key` is included in the range

        bool include_lower;

        // the upper bound of the range, nullptr if not existed

        const RowCursor* upper_key = nullptr;

        // whether `upper_key` is included in the range

        bool include_upper;

    };

    // reader's key ranges, empty if not existed.

    // used by short key index to filter row blocks

    std::vector<KeyRange> key_ranges;

    // For unique-key merge-on-write, the effect is similar to delete_conditions

    // that filters out rows that are deleted in realtime.

    // For a particular row, if delete_bitmap.contains(rowid) means that row is

    // marked deleted and invisible to user anymore.

    // segment_id -> roaring::Roaring*

    std::unordered_map<uint32_t, std::shared_ptr<roaring::Roaring>> delete_bitmap;

    std::shared_ptr<AndBlockColumnPredicate> delete_condition_predicates =

            AndBlockColumnPredicate::create_shared();

    // reader's column predicate, nullptr if not existed

    // used to fiter rows in row block

    std::vector<ColumnPredicate*> column_predicates;

    std::unordered_map<int32_t, std::shared_ptr<AndBlockColumnPredicate>> col_id_to_predicates;

    std::unordered_map<int32_t, std::vector<const ColumnPredicate*>> del_predicates_for_zone_map;

    TPushAggOp::type push_down_agg_type_opt = TPushAggOp::NONE;

    // REQUIRED (null is not allowed)

    OlapReaderStatistics* stats = nullptr;

    bool use_page_cache = false;

    uint32_t block_row_max = 4096 - 32; // see https://github.com/apache/doris/pull/11816

    TabletSchemaSPtr tablet_schema = nullptr;

    bool enable_unique_key_merge_on_write = false;

    bool record_rowids = false;

    std::vector<int> topn_filter_source_node_ids;

    int topn_filter_target_node_id = -1;

    // used for special optimization for query : ORDER BY key DESC LIMIT n

    bool read_orderby_key_reverse = false;

    // columns for orderby keys

    std::vector<uint32_t>* read_orderby_key_columns = nullptr;

    io::IOContext io_ctx;

    vectorized::VExpr* remaining_vconjunct_root = nullptr;

    std::vector<vectorized::VExprSPtr> remaining_conjunct_roots;

    vectorized::VExprContextSPtrs common_expr_ctxs_push_down;

    const std::set<int32_t>* output_columns = nullptr;

    // runtime state

    RuntimeState* runtime_state = nullptr;

    RowsetId rowset_id;

    Version version;

    int64_t tablet_id = 0;

    // slots that cast may be eliminated in storage layer

    std::map<std::string, vectorized::DataTypePtr> target_cast_type_for_variants;

    RowRanges row_ranges;

    size_t topn_limit = 0;

    std::map<ColumnId, vectorized::VExprContextSPtr> virtual_column_exprs;

    std::shared_ptr<segment_v2::AnnTopNRuntime> ann_topn_runtime;

    std::map<ColumnId, size_t> vir_cid_to_idx_in_block;

    std::map<size_t, vectorized::DataTypePtr> vir_col_idx_to_type;

    std::shared_ptr<vectorized::ScoreRuntime> score_runtime;

    CollectionStatisticsPtr collection_statistics;

    // Cache for sparse column data to avoid redundant reads

    // col_unique_id -> cached column_ptr

    std::unordered_map<int32_t, vectorized::ColumnPtr> sparse_column_cache;

};

struct CompactionSampleInfo {

    int64_t bytes = 0;

    int64_t rows = 0;

    int64_t group_data_size;

};

class RowwiseIterator;

using RowwiseIteratorUPtr = std::unique_ptr<RowwiseIterator>;

class RowwiseIterator {

public:

    RowwiseIterator() = default;

    virtual ~RowwiseIterator() = default;

    // Initialize this iterator and make it ready to read with

    // input options.

    // Input options may contain scan range in which this scan.

    // Return Status::OK() if init successfully,

    // Return other error otherwise

    virtual Status init(const StorageReadOptions& opts) {

        return Status::NotSupported("to be implemented");

    }

    virtual Status init(const StorageReadOptions& opts, CompactionSampleInfo* sample_info) {

        return Status::NotSupported("to be implemented");

    }

    // If there is any valid data, this function will load data

    // into input batch with Status::OK() returned

    // If there is no data to read, will return Status::EndOfFile.

    // If other error happens, other error code will be returned.

    virtual Status next_batch(vectorized::Block* block) {

        return Status::NotSupported("to be implemented");

    }

    virtual Status next_block_view(vectorized::BlockView* block_view) {

        return Status::NotSupported("to be implemented");

    }

    virtual Status next_row(vectorized::IteratorRowRef* ref) {

        return Status::NotSupported("to be implemented");

    }

    virtual Status unique_key_next_row(vectorized::IteratorRowRef* ref) {

        return Status::NotSupported("to be implemented");

    }

    virtual bool support_return_data_by_ref() { return false; }

    virtual Status current_block_row_locations(std::vector<RowLocation>* block_row_locations) {

        return Status::NotSupported("to be implemented");

    }

    // return schema for this Iterator

    virtual const Schema& schema() const = 0;

    // Return the data id such as segment id, used for keep the insert order when do

    // merge sort in priority queue

    virtual uint64_t data_id() const { return 0; }

    virtual void update_profile(RuntimeProfile* profile) {}

    // return rows merged count by iterator

    virtual uint64_t merged_rows() const { return 0; }

    // return if it's an empty iterator

    virtual bool empty() const { return false; }

};

} // namespace doris