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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 <stdio.h>
#include <cstdint>
#include <memory>
#include <ostream>
#include <string>
#include <utility>
#include <vector>
#include "parquet/column_reader.h"
#include "parquet/exception.h"
#include "parquet/platform.h"
#include "parquet/schema.h"
#include "parquet/types.h"
namespace parquet {
static constexpr int64_t DEFAULT_SCANNER_BATCH_SIZE = 128;
class PARQUET_EXPORT Scanner {
public:
explicit Scanner(std::shared_ptr<ColumnReader> reader,
int64_t batch_size = DEFAULT_SCANNER_BATCH_SIZE,
::arrow::MemoryPool* pool = ::arrow::default_memory_pool())
: batch_size_(batch_size),
level_offset_(0),
levels_buffered_(0),
value_buffer_(AllocateBuffer(pool)),
value_offset_(0),
values_buffered_(0),
reader_(std::move(reader)) {
def_levels_.resize(descr()->max_definition_level() > 0 ? batch_size_ : 0);
rep_levels_.resize(descr()->max_repetition_level() > 0 ? batch_size_ : 0);
}
virtual ~Scanner() {}
static std::shared_ptr<Scanner> Make(
std::shared_ptr<ColumnReader> col_reader,
int64_t batch_size = DEFAULT_SCANNER_BATCH_SIZE,
::arrow::MemoryPool* pool = ::arrow::default_memory_pool());
virtual void PrintNext(std::ostream& out, int width, bool with_levels = false) = 0;
bool HasNext() { return level_offset_ < levels_buffered_ || reader_->HasNext(); }
const ColumnDescriptor* descr() const { return reader_->descr(); }
int64_t batch_size() const { return batch_size_; }
void SetBatchSize(int64_t batch_size) { batch_size_ = batch_size; }
protected:
int64_t batch_size_;
std::vector<int16_t> def_levels_;
std::vector<int16_t> rep_levels_;
int level_offset_;
int levels_buffered_;
std::shared_ptr<ResizableBuffer> value_buffer_;
int value_offset_;
int64_t values_buffered_;
std::shared_ptr<ColumnReader> reader_;
};
template <typename DType>
class PARQUET_TEMPLATE_CLASS_EXPORT TypedScanner : public Scanner {
public:
typedef typename DType::c_type T;
explicit TypedScanner(std::shared_ptr<ColumnReader> reader,
int64_t batch_size = DEFAULT_SCANNER_BATCH_SIZE,
::arrow::MemoryPool* pool = ::arrow::default_memory_pool())
: Scanner(std::move(reader), batch_size, pool) {
typed_reader_ = static_cast<TypedColumnReader<DType>*>(reader_.get());
int value_byte_size = type_traits<DType::type_num>::value_byte_size;
PARQUET_THROW_NOT_OK(value_buffer_->Resize(batch_size_ * value_byte_size));
values_ = reinterpret_cast<T*>(value_buffer_->mutable_data());
}
virtual ~TypedScanner() {}
bool NextLevels(int16_t* def_level, int16_t* rep_level) {
if (level_offset_ == levels_buffered_) {
levels_buffered_ = static_cast<int>(
typed_reader_->ReadBatch(static_cast<int>(batch_size_), def_levels_.data(),
rep_levels_.data(), values_, &values_buffered_));
value_offset_ = 0;
level_offset_ = 0;
if (!levels_buffered_) {
return false;
}
}
*def_level = descr()->max_definition_level() > 0 ? def_levels_[level_offset_] : 0;
*rep_level = descr()->max_repetition_level() > 0 ? rep_levels_[level_offset_] : 0;
level_offset_++;
return true;
}
bool Next(T* val, int16_t* def_level, int16_t* rep_level, bool* is_null) {
if (level_offset_ == levels_buffered_) {
if (!HasNext()) {
// Out of data pages
return false;
}
}
NextLevels(def_level, rep_level);
*is_null = *def_level < descr()->max_definition_level();
if (*is_null) {
return true;
}
if (value_offset_ == values_buffered_) {
throw ParquetException("Value was non-null, but has not been buffered");
}
*val = values_[value_offset_++];
return true;
}
// Returns true if there is a next value
bool NextValue(T* val, bool* is_null) {
if (level_offset_ == levels_buffered_) {
if (!HasNext()) {
// Out of data pages
return false;
}
}
// Out of values
int16_t def_level = -1;
int16_t rep_level = -1;
NextLevels(&def_level, &rep_level);
*is_null = def_level < descr()->max_definition_level();
if (*is_null) {
return true;
}
if (value_offset_ == values_buffered_) {
throw ParquetException("Value was non-null, but has not been buffered");
}
*val = values_[value_offset_++];
return true;
}
virtual void PrintNext(std::ostream& out, int width, bool with_levels = false) {
T val{};
int16_t def_level = -1;
int16_t rep_level = -1;
bool is_null = false;
char buffer[80];
if (!Next(&val, &def_level, &rep_level, &is_null)) {
throw ParquetException("No more values buffered");
}
if (with_levels) {
out << " D:" << def_level << " R:" << rep_level << " ";
if (!is_null) {
out << "V:";
}
}
if (is_null) {
std::string null_fmt = format_fwf<ByteArrayType>(width);
snprintf(buffer, sizeof(buffer), null_fmt.c_str(), "NULL");
} else {
FormatValue(&val, buffer, sizeof(buffer), width);
}
out << buffer;
}
private:
// The ownership of this object is expressed through the reader_ variable in the base
TypedColumnReader<DType>* typed_reader_;
inline void FormatValue(void* val, char* buffer, int bufsize, int width);
T* values_;
};
template <typename DType>
inline void TypedScanner<DType>::FormatValue(void* val, char* buffer, int bufsize,
int width) {
std::string fmt = format_fwf<DType>(width);
snprintf(buffer, bufsize, fmt.c_str(), *reinterpret_cast<T*>(val));
}
template <>
inline void TypedScanner<Int96Type>::FormatValue(void* val, char* buffer, int bufsize,
int width) {
std::string fmt = format_fwf<Int96Type>(width);
std::string result = Int96ToString(*reinterpret_cast<Int96*>(val));
snprintf(buffer, bufsize, fmt.c_str(), result.c_str());
}
template <>
inline void TypedScanner<ByteArrayType>::FormatValue(void* val, char* buffer, int bufsize,
int width) {
std::string fmt = format_fwf<ByteArrayType>(width);
std::string result = ByteArrayToString(*reinterpret_cast<ByteArray*>(val));
snprintf(buffer, bufsize, fmt.c_str(), result.c_str());
}
template <>
inline void TypedScanner<FLBAType>::FormatValue(void* val, char* buffer, int bufsize,
int width) {
std::string fmt = format_fwf<FLBAType>(width);
std::string result = FixedLenByteArrayToString(
*reinterpret_cast<FixedLenByteArray*>(val), descr()->type_length());
snprintf(buffer, bufsize, fmt.c_str(), result.c_str());
}
typedef TypedScanner<BooleanType> BoolScanner;
typedef TypedScanner<Int32Type> Int32Scanner;
typedef TypedScanner<Int64Type> Int64Scanner;
typedef TypedScanner<Int96Type> Int96Scanner;
typedef TypedScanner<FloatType> FloatScanner;
typedef TypedScanner<DoubleType> DoubleScanner;
typedef TypedScanner<ByteArrayType> ByteArrayScanner;
typedef TypedScanner<FLBAType> FixedLenByteArrayScanner;
template <typename RType>
int64_t ScanAll(int32_t batch_size, int16_t* def_levels, int16_t* rep_levels,
uint8_t* values, int64_t* values_buffered,
parquet::ColumnReader* reader) {
typedef typename RType::T Type;
auto typed_reader = static_cast<RType*>(reader);
auto vals = reinterpret_cast<Type*>(&values[0]);
return typed_reader->ReadBatch(batch_size, def_levels, rep_levels, vals,
values_buffered);
}
int64_t PARQUET_EXPORT ScanAllValues(int32_t batch_size, int16_t* def_levels,
int16_t* rep_levels, uint8_t* values,
int64_t* values_buffered,
parquet::ColumnReader* reader);
} // namespace parquet
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