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// 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 #include #include #include #include #include #include "arrow/buffer.h" #include "arrow/csv/options.h" #include "arrow/csv/type_fwd.h" #include "arrow/status.h" #include "arrow/util/macros.h" #include "arrow/util/visibility.h" namespace arrow { class MemoryPool; namespace csv { /// Skip at most num_rows from the given input. The input pointer is updated /// and the number of actually skipped rows is returns (may be less than /// requested if the input is too short). ARROW_EXPORT int32_t SkipRows(const uint8_t* data, uint32_t size, int32_t num_rows, const uint8_t** out_data); class BlockParserImpl; namespace detail { struct ParsedValueDesc { uint32_t offset : 31; bool quoted : 1; }; class ARROW_EXPORT DataBatch { public: explicit DataBatch(int32_t num_cols) : num_cols_(num_cols) {} /// \brief Return the number of parsed rows (not skipped) int32_t num_rows() const { return num_rows_; } /// \brief Return the number of parsed columns int32_t num_cols() const { return num_cols_; } /// \brief Return the total size in bytes of parsed data uint32_t num_bytes() const { return parsed_size_; } /// \brief Return the number of skipped rows int32_t num_skipped_rows() const { return static_cast(skipped_rows_.size()); } template Status VisitColumn(int32_t col_index, int64_t first_row, Visitor&& visit) const { using detail::ParsedValueDesc; int32_t batch_row = 0; for (size_t buf_index = 0; buf_index < values_buffers_.size(); ++buf_index) { const auto& values_buffer = values_buffers_[buf_index]; const auto values = reinterpret_cast(values_buffer->data()); const auto max_pos = static_cast(values_buffer->size() / sizeof(ParsedValueDesc)) - 1; for (int32_t pos = col_index; pos < max_pos; pos += num_cols_, ++batch_row) { auto start = values[pos].offset; auto stop = values[pos + 1].offset; auto quoted = values[pos + 1].quoted; Status status = visit(parsed_ + start, stop - start, quoted); if (ARROW_PREDICT_FALSE(!status.ok())) { return DecorateWithRowNumber(std::move(status), first_row, batch_row); } } } return Status::OK(); } template Status VisitLastRow(Visitor&& visit) const { using detail::ParsedValueDesc; const auto& values_buffer = values_buffers_.back(); const auto values = reinterpret_cast(values_buffer->data()); const auto start_pos = static_cast(values_buffer->size() / sizeof(ParsedValueDesc)) - num_cols_ - 1; for (int32_t col_index = 0; col_index < num_cols_; ++col_index) { auto start = values[start_pos + col_index].offset; auto stop = values[start_pos + col_index + 1].offset; auto quoted = values[start_pos + col_index + 1].quoted; ARROW_RETURN_NOT_OK(visit(parsed_ + start, stop - start, quoted)); } return Status::OK(); } protected: Status DecorateWithRowNumber(Status&& status, int64_t first_row, int32_t batch_row) const { if (first_row >= 0) { // `skipped_rows_` is in ascending order by construction, so use bisection // to find out how many rows were skipped before `batch_row`. const auto skips_before = std::upper_bound(skipped_rows_.begin(), skipped_rows_.end(), batch_row) - skipped_rows_.begin(); status = status.WithMessage("Row #", batch_row + skips_before + first_row, ": ", status.message()); } // Use return_if so that when extra context is enabled it will be added ARROW_RETURN_IF_(true, std::move(status), ARROW_STRINGIFY(status)); return std::move(status); } // The number of rows in this batch (not including any skipped ones) int32_t num_rows_ = 0; // The number of columns int32_t num_cols_ = 0; // XXX should we ensure the parsed buffer is padded with 8 or 16 excess zero bytes? // It may help with null parsing... std::vector> values_buffers_; std::shared_ptr parsed_buffer_; const uint8_t* parsed_ = NULLPTR; int32_t parsed_size_ = 0; // Record the current num_rows_ each time a row is skipped std::vector skipped_rows_; friend class ::arrow::csv::BlockParserImpl; }; } // namespace detail constexpr int32_t kMaxParserNumRows = 100000; /// \class BlockParser /// \brief A reusable block-based parser for CSV data /// /// The parser takes a block of CSV data and delimits rows and fields, /// unquoting and unescaping them on the fly. Parsed data is own by the /// parser, so the original buffer can be discarded after Parse() returns. /// /// If the block is truncated (i.e. not all data can be parsed), it is up /// to the caller to arrange the next block to start with the trailing data. /// Also, if the previous block ends with CR (0x0d) and a new block starts /// with LF (0x0a), the parser will consider the leading newline as an empty /// line; the caller should therefore strip it. class ARROW_EXPORT BlockParser { public: explicit BlockParser(ParseOptions options, int32_t num_cols = -1, int64_t first_row = -1, int32_t max_num_rows = kMaxParserNumRows); explicit BlockParser(MemoryPool* pool, ParseOptions options, int32_t num_cols = -1, int64_t first_row = -1, int32_t max_num_rows = kMaxParserNumRows); ~BlockParser(); /// \brief Parse a block of data /// /// Parse a block of CSV data, ingesting up to max_num_rows rows. /// The number of bytes actually parsed is returned in out_size. Status Parse(std::string_view data, uint32_t* out_size); /// \brief Parse sequential blocks of data /// /// Only the last block is allowed to be truncated. Status Parse(const std::vector& data, uint32_t* out_size); /// \brief Parse the final block of data /// /// Like Parse(), but called with the final block in a file. /// The last row may lack a trailing line separator. Status ParseFinal(std::string_view data, uint32_t* out_size); /// \brief Parse the final sequential blocks of data /// /// Only the last block is allowed to be truncated. Status ParseFinal(const std::vector& data, uint32_t* out_size); /// \brief Return the number of parsed rows int32_t num_rows() const { return parsed_batch().num_rows(); } /// \brief Return the number of parsed columns int32_t num_cols() const { return parsed_batch().num_cols(); } /// \brief Return the total size in bytes of parsed data uint32_t num_bytes() const { return parsed_batch().num_bytes(); } /// \brief Return the total number of rows including rows which were skipped int32_t total_num_rows() const { return parsed_batch().num_rows() + parsed_batch().num_skipped_rows(); } /// \brief Return the row number of the first row in the block or -1 if unsupported int64_t first_row_num() const; /// \brief Visit parsed values in a column /// /// The signature of the visitor is /// Status(const uint8_t* data, uint32_t size, bool quoted) template Status VisitColumn(int32_t col_index, Visitor&& visit) const { return parsed_batch().VisitColumn(col_index, first_row_num(), std::forward(visit)); } template Status VisitLastRow(Visitor&& visit) const { return parsed_batch().VisitLastRow(std::forward(visit)); } protected: std::unique_ptr impl_; const detail::DataBatch& parsed_batch() const; }; } // namespace csv } // namespace arrow