// 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.

#include "exprs/function/match.h"

#include <hs/hs.h>

#include "core/field.h"

#include "runtime/query_context.h"

#include "runtime/runtime_state.h"

#include "storage/index/index_reader_helper.h"

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

#include "util/debug_points.h"

namespace doris {

namespace {

const InvertedIndexAnalyzerCtx* get_match_analyzer_ctx(FunctionContext* context) {

    if (context == nullptr) {

        return nullptr;

    }

    auto* analyzer_ctx = reinterpret_cast<const InvertedIndexAnalyzerCtx*>(

            context->get_function_state(FunctionContext::THREAD_LOCAL));

    if (analyzer_ctx == nullptr) {

        analyzer_ctx = reinterpret_cast<const InvertedIndexAnalyzerCtx*>(

                context->get_function_state(FunctionContext::FRAGMENT_LOCAL));

    }

    return analyzer_ctx;

}

} // namespace

Status FunctionMatchBase::evaluate_inverted_index(

        const ColumnsWithTypeAndName& arguments,

        const std::vector<IndexFieldNameAndTypePair>& data_type_with_names,

        std::vector<segment_v2::IndexIterator*> iterators, uint32_t num_rows,

        const InvertedIndexAnalyzerCtx* analyzer_ctx,

        segment_v2::InvertedIndexResultBitmap& bitmap_result) const {

    DCHECK(arguments.size() == 1);

    DCHECK(data_type_with_names.size() == 1);

    DCHECK(iterators.size() == 1);

    auto* iter = iterators[0];

    auto data_type_with_name = data_type_with_names[0];

    if (iter == nullptr) {

        return Status::OK();

    }

    const std::string& function_name = get_name();

    if (function_name == MATCH_PHRASE_FUNCTION || function_name == MATCH_PHRASE_PREFIX_FUNCTION ||

        function_name == MATCH_PHRASE_EDGE_FUNCTION) {

        auto reader = iter->get_reader(InvertedIndexReaderType::FULLTEXT);

        if (reader && !segment_v2::IndexReaderHelper::is_support_phrase(reader)) {

            return Status::Error<ErrorCode::INDEX_INVALID_PARAMETERS>(

                    "phrase queries require setting support_phrase = true");

        }

    }

    Field param_value;

    arguments[0].column->get(0, param_value);

    if (param_value.is_null()) {

        // if query value is null, skip evaluate inverted index

        return Status::OK();

    }

    auto param_type = arguments[0].type->get_primitive_type();

    if (!is_string_type(param_type)) {

        return Status::Error<ErrorCode::INDEX_INVALID_PARAMETERS>(

                "arguments for match must be string");

    }

    InvertedIndexParam param;

    param.column_name = data_type_with_name.first;

    param.column_type = data_type_with_name.second;

    param.query_value = param_value;

    param.query_type = get_query_type_from_fn_name();

    param.num_rows = num_rows;

    param.roaring = std::make_shared<roaring::Roaring>();

    param.analyzer_ctx = analyzer_ctx;

    if (is_string_type(param_type)) {

        RETURN_IF_ERROR(iter->read_from_index(&param));

    } else {

        return Status::Error<ErrorCode::INDEX_INVALID_PARAMETERS>(

                "invalid params type for FunctionMatchBase::evaluate_inverted_index {}",

                param_type);

    }

    std::shared_ptr<roaring::Roaring> null_bitmap = std::make_shared<roaring::Roaring>();

    if (iter->has_null()) {

        segment_v2::InvertedIndexQueryCacheHandle null_bitmap_cache_handle;

        RETURN_IF_ERROR(iter->read_null_bitmap(&null_bitmap_cache_handle));

        null_bitmap = null_bitmap_cache_handle.get_bitmap();

    }

    segment_v2::InvertedIndexResultBitmap result(param.roaring, null_bitmap);

    bitmap_result = result;

    bitmap_result.mask_out_null();

    return Status::OK();

}

Status FunctionMatchBase::execute_impl(FunctionContext* context, Block& block,

                                       const ColumnNumbers& arguments, uint32_t result,

                                       size_t input_rows_count) const {

    ColumnPtr& column_ptr = block.get_by_position(arguments[1]).column;

    DataTypePtr& type_ptr = block.get_by_position(arguments[1]).type;

    auto format_options = DataTypeSerDe::get_default_format_options();

    auto time_zone = cctz::utc_time_zone();

    format_options.timezone =

            (context && context->state()) ? &context->state()->timezone_obj() : &time_zone;

    auto match_query_str = type_ptr->to_string(*column_ptr, 0, format_options);

    std::string column_name = block.get_by_position(arguments[0]).name;

    VLOG_DEBUG << "begin to execute match directly, column_name=" << column_name

               << ", match_query_str=" << match_query_str;

    auto* analyzer_ctx = get_match_analyzer_ctx(context);

    const ColumnPtr source_col =

            block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();

    const auto* values = check_and_get_column<ColumnString>(source_col.get());

    const ColumnArray* array_col = nullptr;

    if (is_column<ColumnArray>(source_col.get())) {

        array_col = check_and_get_column<ColumnArray>(source_col.get());

        if (array_col && !array_col->get_data().is_column_string()) {

            return Status::NotSupported(fmt::format(

                    "unsupported nested array of type {} for function {}",

                    is_column_nullable(array_col->get_data()) ? array_col->get_data().get_name()

                                                              : array_col->get_data().get_name(),

                    get_name()));

        }

        if (is_column_nullable(array_col->get_data())) {

            const auto& array_nested_null_column =

                    reinterpret_cast<const ColumnNullable&>(array_col->get_data());

            values = check_and_get_column<ColumnString>(

                    *(array_nested_null_column.get_nested_column_ptr()));

        } else {

            // array column element is always set Nullable for now.

            values = check_and_get_column<ColumnString>(*(array_col->get_data_ptr()));

        }

    } else if (const auto* nullable = check_and_get_column<ColumnNullable>(source_col.get())) {

        values = check_and_get_column<ColumnString>(*nullable->get_nested_column_ptr());

    }

    if (!values) {

        LOG(WARNING) << "Illegal column " << source_col->get_name();

        return Status::InternalError("Not supported input column types");

    }

    // result column

    auto res = ColumnUInt8::create();

    ColumnUInt8::Container& vec_res = res->get_data();

    // set default value to 0, and match functions only need to set 1/true

    vec_res.resize_fill(input_rows_count);

    RETURN_IF_ERROR(execute_match(context, column_name, match_query_str, input_rows_count, values,

                                  analyzer_ctx, (array_col ? &(array_col->get_offsets()) : nullptr),

                                  vec_res));

    block.replace_by_position(result, std::move(res));

    return Status::OK();

}

inline doris::segment_v2::InvertedIndexQueryType FunctionMatchBase::get_query_type_from_fn_name()

        const {

    std::string fn_name = get_name();

    if (fn_name == MATCH_ANY_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_ANY_QUERY;

    } else if (fn_name == MATCH_ALL_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_ALL_QUERY;

    } else if (fn_name == MATCH_PHRASE_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_PHRASE_QUERY;

    } else if (fn_name == MATCH_PHRASE_PREFIX_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_PHRASE_PREFIX_QUERY;

    } else if (fn_name == MATCH_PHRASE_REGEXP_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_REGEXP_QUERY;

    } else if (fn_name == MATCH_PHRASE_EDGE_FUNCTION) {

        return doris::segment_v2::InvertedIndexQueryType::MATCH_PHRASE_EDGE_QUERY;

    }

    return doris::segment_v2::InvertedIndexQueryType::UNKNOWN_QUERY;

}

std::vector<TermInfo> FunctionMatchBase::analyse_query_str_token(

        const InvertedIndexAnalyzerCtx* analyzer_ctx, const std::string& match_query_str,

        const std::string& column_name) const {

    std::vector<TermInfo> query_tokens;

    if (analyzer_ctx == nullptr) {

        return query_tokens;

    }

    VLOG_DEBUG << "begin to run " << get_name() << ", parser_type: "

               << inverted_index_parser_type_to_string(analyzer_ctx->parser_type);

    // Decision is based on parser_type (from index properties):

    // - PARSER_NONE: no tokenization (keyword/exact match)

    // - Other parsers: tokenize using the analyzer

    if (!analyzer_ctx->should_tokenize()) {

        // Keyword index: all strings (including empty) are valid tokens for exact match.

        // Empty string is a valid value in keyword index and should be matchable.

        query_tokens.emplace_back(match_query_str);

        return query_tokens;

    }

    // Safety check: if analyzer is nullptr but tokenization is expected, fall back to no tokenization

    if (analyzer_ctx->analyzer == nullptr) {

        VLOG_DEBUG << "Analyzer is nullptr, falling back to no tokenization";

        // For fallback case, also allow empty strings to be matched

        query_tokens.emplace_back(match_query_str);

        return query_tokens;

    }

    // Tokenize using the analyzer

    auto reader = doris::segment_v2::inverted_index::InvertedIndexAnalyzer::create_reader(

            analyzer_ctx->char_filter_map);

    reader->init(match_query_str.data(), (int)match_query_str.size(), true);

    query_tokens = doris::segment_v2::inverted_index::InvertedIndexAnalyzer::get_analyse_result(

            reader, analyzer_ctx->analyzer.get());

    return query_tokens;

}

inline std::vector<TermInfo> FunctionMatchBase::analyse_data_token(

        const std::string& column_name, const InvertedIndexAnalyzerCtx* analyzer_ctx,

        const ColumnString* string_col, int32_t current_block_row_idx,

        const ColumnArray::Offsets64* array_offsets, int32_t& current_src_array_offset) const {

    std::vector<TermInfo> data_tokens;

    if (analyzer_ctx == nullptr) {

        return data_tokens;

    }

    // Determine tokenization strategy based on parser_type

    const bool should_tokenize =

            analyzer_ctx->should_tokenize() && analyzer_ctx->analyzer != nullptr;

    if (array_offsets) {

        for (auto next_src_array_offset = (*array_offsets)[current_block_row_idx];

             current_src_array_offset < next_src_array_offset; ++current_src_array_offset) {

            const auto& str_ref = string_col->get_data_at(current_src_array_offset);

            if (!should_tokenize) {

                data_tokens.emplace_back(str_ref.to_string());

                continue;

            }

            auto reader = doris::segment_v2::inverted_index::InvertedIndexAnalyzer::create_reader(

                    analyzer_ctx->char_filter_map);

            reader->init(str_ref.data, (int)str_ref.size, true);

            data_tokens =

                    doris::segment_v2::inverted_index::InvertedIndexAnalyzer::get_analyse_result(

                            reader, analyzer_ctx->analyzer.get());

        }

    } else {

        const auto& str_ref = string_col->get_data_at(current_block_row_idx);

        if (!should_tokenize) {

            data_tokens.emplace_back(str_ref.to_string());

        } else {

            auto reader = doris::segment_v2::inverted_index::InvertedIndexAnalyzer::create_reader(

                    analyzer_ctx->char_filter_map);

            reader->init(str_ref.data, (int)str_ref.size, true);

            data_tokens =

                    doris::segment_v2::inverted_index::InvertedIndexAnalyzer::get_analyse_result(

                            reader, analyzer_ctx->analyzer.get());

        }

    }

    return data_tokens;

}

Status FunctionMatchBase::check(FunctionContext* context, const std::string& function_name) const {

    if (!context->state()->query_options().enable_match_without_inverted_index) {

        return Status::Error<ErrorCode::INVERTED_INDEX_NOT_SUPPORTED>(

                "{} not support execute_match", function_name);

    }

    DBUG_EXECUTE_IF("match.invert_index_not_support_execute_match", {

        return Status::Error<ErrorCode::INVERTED_INDEX_NOT_SUPPORTED>(

                "debug point: {} not support execute_match", function_name);

    });

    return Status::OK();

}

Status FunctionMatchAny::execute_match(FunctionContext* context, const std::string& column_name,

                                       const std::string& match_query_str, size_t input_rows_count,

                                       const ColumnString* string_col,

                                       const InvertedIndexAnalyzerCtx* analyzer_ctx,

                                       const ColumnArray::Offsets64* array_offsets,

                                       ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    auto query_tokens = analyse_query_str_token(analyzer_ctx, match_query_str, column_name);

    if (query_tokens.empty()) {

        VLOG_DEBUG << fmt::format(

                "token parser result is empty for query, "

                "please check your query: '{}' and index parser: '{}'",

                match_query_str,

                analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                             : "unknown");

        return Status::OK();

    }

    auto current_src_array_offset = 0;

    for (int i = 0; i < input_rows_count; i++) {

        auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                              array_offsets, current_src_array_offset);

        // TODO: more efficient impl

        for (auto& term_info : query_tokens) {

            auto it =

                    std::find_if(data_tokens.begin(), data_tokens.end(), [&](const TermInfo& info) {

                        return info.get_single_term() == term_info.get_single_term();

                    });

            if (it != data_tokens.end()) {

                result[i] = true;

                break;

            }

        }

    }

    return Status::OK();

}

Status FunctionMatchAll::execute_match(FunctionContext* context, const std::string& column_name,

                                       const std::string& match_query_str, size_t input_rows_count,

                                       const ColumnString* string_col,

                                       const InvertedIndexAnalyzerCtx* analyzer_ctx,

                                       const ColumnArray::Offsets64* array_offsets,

                                       ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    auto query_tokens = analyse_query_str_token(analyzer_ctx, match_query_str, column_name);

    if (query_tokens.empty()) {

        VLOG_DEBUG << fmt::format(

                "token parser result is empty for query, "

                "please check your query: '{}' and index parser: '{}'",

                match_query_str,

                analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                             : "unknown");

        return Status::OK();

    }

    auto current_src_array_offset = 0;

    for (int i = 0; i < input_rows_count; i++) {

        auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                              array_offsets, current_src_array_offset);

        // TODO: more efficient impl

        auto find_count = 0;

        for (auto& term_info : query_tokens) {

            auto it =

                    std::find_if(data_tokens.begin(), data_tokens.end(), [&](const TermInfo& info) {

                        return info.get_single_term() == term_info.get_single_term();

                    });

            if (it != data_tokens.end()) {

                ++find_count;

            } else {

                break;

            }

        }

        if (find_count == query_tokens.size()) {

            result[i] = true;

        }

    }

    return Status::OK();

}

Status FunctionMatchPhrase::execute_match(FunctionContext* context, const std::string& column_name,

                                          const std::string& match_query_str,

                                          size_t input_rows_count, const ColumnString* string_col,

                                          const InvertedIndexAnalyzerCtx* analyzer_ctx,

                                          const ColumnArray::Offsets64* array_offsets,

                                          ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    auto query_tokens = analyse_query_str_token(analyzer_ctx, match_query_str, column_name);

    if (query_tokens.empty()) {

        VLOG_DEBUG << fmt::format(

                "token parser result is empty for query, "

                "please check your query: '{}' and index parser: '{}'",

                match_query_str,

                analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                             : "unknown");

        return Status::OK();

    }

    auto current_src_array_offset = 0;

    for (int i = 0; i < input_rows_count; i++) {

        auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                              array_offsets, current_src_array_offset);

        // TODO: more efficient impl

        bool matched = false;

        auto data_it = data_tokens.begin();

        while (data_it != data_tokens.end()) {

            // find position of first token

            data_it = std::find_if(data_it, data_tokens.end(), [&](const TermInfo& info) {

                return info.get_single_term() == query_tokens[0].get_single_term();

            });

            if (data_it != data_tokens.end()) {

                matched = true;

                auto data_it_next = ++data_it;

                auto query_it = query_tokens.begin() + 1;

                // compare query_tokens after the first to data_tokens one by one

                while (query_it != query_tokens.end()) {

                    if (data_it_next == data_tokens.end() ||

                        data_it_next->get_single_term() != query_it->get_single_term()) {

                        matched = false;

                        break;

                    }

                    query_it++;

                    data_it_next++;

                }

                if (matched) {

                    break;

                }

            }

        }

        // check matched

        if (matched) {

            result[i] = true;

        }

    }

    return Status::OK();

}

Status FunctionMatchPhrasePrefix::execute_match(

        FunctionContext* context, const std::string& column_name,

        const std::string& match_query_str, size_t input_rows_count, const ColumnString* string_col,

        const InvertedIndexAnalyzerCtx* analyzer_ctx, const ColumnArray::Offsets64* array_offsets,

        ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    auto query_tokens = analyse_query_str_token(analyzer_ctx, match_query_str, column_name);

    if (query_tokens.empty()) {

        VLOG_DEBUG << fmt::format(

                "token parser result is empty for query, "

                "please check your query: '{}' and index parser: '{}'",

                match_query_str,

                analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                             : "unknown");

        return Status::OK();

    }

    int32_t current_src_array_offset = 0;

    for (int i = 0; i < input_rows_count; i++) {

        auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                              array_offsets, current_src_array_offset);

        int64_t dis_count = data_tokens.size() - query_tokens.size();

        if (dis_count < 0) {

            continue;

        }

        for (size_t j = 0; j < dis_count + 1; j++) {

            if (data_tokens[j].get_single_term() == query_tokens[0].get_single_term() ||

                query_tokens.size() == 1) {

                bool match = true;

                for (size_t k = 0; k < query_tokens.size(); k++) {

                    const std::string& data_token = data_tokens[j + k].get_single_term();

                    const std::string& query_token = query_tokens[k].get_single_term();

                    if (k == query_tokens.size() - 1) {

                        if (data_token.compare(0, query_token.size(), query_token) != 0) {

                            match = false;

                            break;

                        }

                    } else {

                        if (data_token != query_token) {

                            match = false;

                            break;

                        }

                    }

                }

                if (match) {

                    result[i] = true;

                    break;

                }

            }

        }

    }

    return Status::OK();

}

Status FunctionMatchRegexp::execute_match(FunctionContext* context, const std::string& column_name,

                                          const std::string& match_query_str,

                                          size_t input_rows_count, const ColumnString* string_col,

                                          const InvertedIndexAnalyzerCtx* analyzer_ctx,

                                          const ColumnArray::Offsets64* array_offsets,

                                          ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    VLOG_DEBUG << "begin to run FunctionMatchRegexp::execute_match, parser_type: "

               << (analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                                : "unknown");

    const std::string& pattern = match_query_str;

    hs_database_t* database = nullptr;

    hs_compile_error_t* compile_err = nullptr;

    hs_scratch_t* scratch = nullptr;

    if (hs_compile(pattern.data(), HS_FLAG_DOTALL | HS_FLAG_ALLOWEMPTY | HS_FLAG_UTF8,

                   HS_MODE_BLOCK, nullptr, &database, &compile_err) != HS_SUCCESS) {

        std::string err_message = "hyperscan compilation failed: ";

        err_message.append(compile_err->message);

        LOG(ERROR) << err_message;

        hs_free_compile_error(compile_err);

        return Status::Error<ErrorCode::INDEX_INVALID_PARAMETERS>(err_message);

    }

    if (hs_alloc_scratch(database, &scratch) != HS_SUCCESS) {

        LOG(ERROR) << "hyperscan could not allocate scratch space.";

        hs_free_database(database);

        return Status::Error<ErrorCode::INDEX_INVALID_PARAMETERS>(

                "hyperscan could not allocate scratch space.");

    }

    auto on_match = [](unsigned int id, unsigned long long from, unsigned long long to,

                       unsigned int flags, void* context) -> int {

        *((bool*)context) = true;

        return 0;

    };

    try {

        auto current_src_array_offset = 0;

        for (int i = 0; i < input_rows_count; i++) {

            auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                                  array_offsets, current_src_array_offset);

            for (auto& input : data_tokens) {

                bool is_match = false;

                const auto& input_str = input.get_single_term();

                if (hs_scan(database, input_str.data(), (uint32_t)input_str.size(), 0, scratch,

                            on_match, (void*)&is_match) != HS_SUCCESS) {

                    LOG(ERROR) << "hyperscan match failed: " << input_str;

                    break;

                }

                if (is_match) {

                    result[i] = true;

                    break;

                }

            }

        }

    }

    _CLFINALLY({

        hs_free_scratch(scratch);

        hs_free_database(database);

    })

    return Status::OK();

}

Status FunctionMatchPhraseEdge::execute_match(

        FunctionContext* context, const std::string& column_name,

        const std::string& match_query_str, size_t input_rows_count, const ColumnString* string_col,

        const InvertedIndexAnalyzerCtx* analyzer_ctx, const ColumnArray::Offsets64* array_offsets,

        ColumnUInt8::Container& result) const {

    RETURN_IF_ERROR(check(context, name));

    auto query_tokens = analyse_query_str_token(analyzer_ctx, match_query_str, column_name);

    if (query_tokens.empty()) {

        VLOG_DEBUG << fmt::format(

                "token parser result is empty for query, "

                "please check your query: '{}' and index parser: '{}'",

                match_query_str,

                analyzer_ctx ? inverted_index_parser_type_to_string(analyzer_ctx->parser_type)

                             : "unknown");

        return Status::OK();

    }

    int32_t current_src_array_offset = 0;

    for (int i = 0; i < input_rows_count; i++) {

        auto data_tokens = analyse_data_token(column_name, analyzer_ctx, string_col, i,

                                              array_offsets, current_src_array_offset);

        int64_t dis_count = data_tokens.size() - query_tokens.size();

        if (dis_count < 0) {

            continue;

        }

        for (size_t j = 0; j < dis_count + 1; j++) {

            bool match = true;

            if (query_tokens.size() == 1) {

                if (data_tokens[j].get_single_term().find(query_tokens[0].get_single_term()) ==

                    std::string::npos) {

                    match = false;

                }

            } else {

                for (size_t k = 0; k < query_tokens.size(); k++) {

                    const std::string& data_token = data_tokens[j + k].get_single_term();

                    const std::string& query_token = query_tokens[k].get_single_term();

                    if (k == 0) {

                        if (!data_token.ends_with(query_token)) {

                            match = false;

                            break;

                        }

                    } else if (k == query_tokens.size() - 1) {

                        if (!data_token.starts_with(query_token)) {

                            match = false;

                            break;

                        }

                    } else {

                        if (data_token != query_token) {

                            match = false;

                            break;

                        }

                    }

                }

            }

            if (match) {

                result[i] = true;

                break;

            }

        }

    }

    return Status::OK();

}

void register_function_match(SimpleFunctionFactory& factory) {

    factory.register_function<FunctionMatchAny>();

    factory.register_function<FunctionMatchAll>();

    factory.register_function<FunctionMatchPhrase>();

    factory.register_function<FunctionMatchPhrasePrefix>();

    factory.register_function<FunctionMatchRegexp>();

    factory.register_function<FunctionMatchPhraseEdge>();

}

} // namespace doris