kun yu 77e1ddd81b branch-0.4.0
Former-commit-id: a4df63653202df32d0b983de27f5c969905d17ac
2019-07-30 10:23:34 +08:00

150 lines
5.6 KiB
C++

// 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.
#ifndef ARROW_CSV_PARSER_H
#define ARROW_CSV_PARSER_H
#include <cstddef>
#include <cstdint>
#include <memory>
#include <vector>
#include "arrow/buffer.h"
#include "arrow/csv/options.h"
#include "arrow/status.h"
#include "arrow/util/macros.h"
#include "arrow/util/visibility.h"
namespace arrow {
class MemoryPool;
namespace csv {
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,
int32_t max_num_rows = kMaxParserNumRows);
explicit BlockParser(MemoryPool* pool, ParseOptions options, int32_t num_cols = -1,
int32_t max_num_rows = kMaxParserNumRows);
/// \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(const char* data, uint32_t size, 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(const char* data, uint32_t size, uint32_t* out_size);
/// \brief Return the number of parsed rows
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 Visit parsed values in a column
///
/// The signature of the visitor is
/// Status(const uint8_t* data, uint32_t size, bool quoted)
template <typename Visitor>
Status VisitColumn(int32_t col_index, Visitor&& visit) const {
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<const ValueDesc*>(values_buffer->data());
const auto max_pos =
static_cast<int32_t>(values_buffer->size() / sizeof(ValueDesc)) - 1;
for (int32_t pos = col_index; pos < max_pos; pos += num_cols_) {
auto start = values[pos].offset;
auto stop = values[pos + 1].offset;
auto quoted = values[pos + 1].quoted;
ARROW_RETURN_NOT_OK(visit(parsed_ + start, stop - start, quoted));
}
}
return Status::OK();
}
protected:
ARROW_DISALLOW_COPY_AND_ASSIGN(BlockParser);
Status DoParse(const char* data, uint32_t size, bool is_final, uint32_t* out_size);
template <typename SpecializedOptions>
Status DoParseSpecialized(const char* data, uint32_t size, bool is_final,
uint32_t* out_size);
template <typename SpecializedOptions, typename ValuesWriter, typename ParsedWriter>
Status ParseChunk(ValuesWriter* values_writer, ParsedWriter* parsed_writer,
const char* data, const char* data_end, bool is_final,
int32_t rows_in_chunk, const char** out_data, bool* finished_parsing);
// Parse a single line from the data pointer
template <typename SpecializedOptions, typename ValuesWriter, typename ParsedWriter>
Status ParseLine(ValuesWriter* values_writer, ParsedWriter* parsed_writer,
const char* data, const char* data_end, bool is_final,
const char** out_data);
MemoryPool* pool_;
const ParseOptions options_;
// The number of rows parsed from the block
int32_t num_rows_;
// The number of columns (can be -1 at start)
int32_t num_cols_;
// The maximum number of rows to parse from this block
int32_t max_num_rows_;
// Linear scratchpad for parsed values
struct ValueDesc {
uint32_t offset : 31;
bool quoted : 1;
};
// XXX should we ensure the parsed buffer is padded with 8 or 16 excess zero bytes?
// It may help with null parsing...
std::vector<std::shared_ptr<Buffer>> values_buffers_;
std::shared_ptr<Buffer> parsed_buffer_;
const uint8_t* parsed_;
int32_t values_size_;
int32_t parsed_size_;
class ResizableValuesWriter;
class PresizedValuesWriter;
class PresizedParsedWriter;
};
} // namespace csv
} // namespace arrow
#endif // ARROW_CSV_PARSER_H