| // 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 "parquet/column_writer.h" |
| |
| #include "arrow/util/bit-util.h" |
| #include "arrow/util/rle-encoding.h" |
| |
| #include "parquet/encoding-internal.h" |
| #include "parquet/properties.h" |
| #include "parquet/statistics.h" |
| #include "parquet/util/logging.h" |
| #include "parquet/util/memory.h" |
| |
| namespace parquet { |
| |
| using BitWriter = ::arrow::BitWriter; |
| using RleEncoder = ::arrow::RleEncoder; |
| |
| LevelEncoder::LevelEncoder() {} |
| LevelEncoder::~LevelEncoder() {} |
| |
| void LevelEncoder::Init(Encoding::type encoding, int16_t max_level, |
| int num_buffered_values, uint8_t* data, int data_size) { |
| bit_width_ = BitUtil::Log2(max_level + 1); |
| encoding_ = encoding; |
| switch (encoding) { |
| case Encoding::RLE: { |
| rle_encoder_.reset(new RleEncoder(data, data_size, bit_width_)); |
| break; |
| } |
| case Encoding::BIT_PACKED: { |
| int num_bytes = |
| static_cast<int>(BitUtil::Ceil(num_buffered_values * bit_width_, 8)); |
| bit_packed_encoder_.reset(new BitWriter(data, num_bytes)); |
| break; |
| } |
| default: |
| throw ParquetException("Unknown encoding type for levels."); |
| } |
| } |
| |
| int LevelEncoder::MaxBufferSize(Encoding::type encoding, int16_t max_level, |
| int num_buffered_values) { |
| int bit_width = BitUtil::Log2(max_level + 1); |
| int num_bytes = 0; |
| switch (encoding) { |
| case Encoding::RLE: { |
| // TODO: Due to the way we currently check if the buffer is full enough, |
| // we need to have MinBufferSize as head room. |
| num_bytes = RleEncoder::MaxBufferSize(bit_width, num_buffered_values) + |
| RleEncoder::MinBufferSize(bit_width); |
| break; |
| } |
| case Encoding::BIT_PACKED: { |
| num_bytes = static_cast<int>(BitUtil::Ceil(num_buffered_values * bit_width, 8)); |
| break; |
| } |
| default: |
| throw ParquetException("Unknown encoding type for levels."); |
| } |
| return num_bytes; |
| } |
| |
| int LevelEncoder::Encode(int batch_size, const int16_t* levels) { |
| int num_encoded = 0; |
| if (!rle_encoder_ && !bit_packed_encoder_) { |
| throw ParquetException("Level encoders are not initialized."); |
| } |
| |
| if (encoding_ == Encoding::RLE) { |
| for (int i = 0; i < batch_size; ++i) { |
| if (!rle_encoder_->Put(*(levels + i))) { |
| break; |
| } |
| ++num_encoded; |
| } |
| rle_encoder_->Flush(); |
| rle_length_ = rle_encoder_->len(); |
| } else { |
| for (int i = 0; i < batch_size; ++i) { |
| if (!bit_packed_encoder_->PutValue(*(levels + i), bit_width_)) { |
| break; |
| } |
| ++num_encoded; |
| } |
| bit_packed_encoder_->Flush(); |
| } |
| return num_encoded; |
| } |
| |
| // ---------------------------------------------------------------------- |
| // ColumnWriter |
| |
| std::shared_ptr<WriterProperties> default_writer_properties() { |
| static std::shared_ptr<WriterProperties> default_writer_properties = |
| WriterProperties::Builder().build(); |
| return default_writer_properties; |
| } |
| |
| ColumnWriter::ColumnWriter(ColumnChunkMetaDataBuilder* metadata, |
| std::unique_ptr<PageWriter> pager, bool has_dictionary, |
| Encoding::type encoding, const WriterProperties* properties) |
| : metadata_(metadata), |
| descr_(metadata->descr()), |
| pager_(std::move(pager)), |
| has_dictionary_(has_dictionary), |
| encoding_(encoding), |
| properties_(properties), |
| allocator_(properties->memory_pool()), |
| pool_(properties->memory_pool()), |
| num_buffered_values_(0), |
| num_buffered_encoded_values_(0), |
| rows_written_(0), |
| total_bytes_written_(0), |
| closed_(false), |
| fallback_(false) { |
| definition_levels_sink_.reset(new InMemoryOutputStream(allocator_)); |
| repetition_levels_sink_.reset(new InMemoryOutputStream(allocator_)); |
| definition_levels_rle_ = |
| std::static_pointer_cast<ResizableBuffer>(AllocateBuffer(allocator_, 0)); |
| repetition_levels_rle_ = |
| std::static_pointer_cast<ResizableBuffer>(AllocateBuffer(allocator_, 0)); |
| uncompressed_data_ = |
| std::static_pointer_cast<ResizableBuffer>(AllocateBuffer(allocator_, 0)); |
| if (pager_->has_compressor()) { |
| compressed_data_ = |
| std::static_pointer_cast<ResizableBuffer>(AllocateBuffer(allocator_, 0)); |
| } |
| } |
| |
| void ColumnWriter::InitSinks() { |
| definition_levels_sink_->Clear(); |
| repetition_levels_sink_->Clear(); |
| } |
| |
| void ColumnWriter::WriteDefinitionLevels(int64_t num_levels, const int16_t* levels) { |
| DCHECK(!closed_); |
| definition_levels_sink_->Write(reinterpret_cast<const uint8_t*>(levels), |
| sizeof(int16_t) * num_levels); |
| } |
| |
| void ColumnWriter::WriteRepetitionLevels(int64_t num_levels, const int16_t* levels) { |
| DCHECK(!closed_); |
| repetition_levels_sink_->Write(reinterpret_cast<const uint8_t*>(levels), |
| sizeof(int16_t) * num_levels); |
| } |
| |
| // return the size of the encoded buffer |
| int64_t ColumnWriter::RleEncodeLevels(const Buffer& src_buffer, |
| ResizableBuffer* dest_buffer, int16_t max_level) { |
| // TODO: This only works with due to some RLE specifics |
| int64_t rle_size = LevelEncoder::MaxBufferSize(Encoding::RLE, max_level, |
| static_cast<int>(num_buffered_values_)) + |
| sizeof(int32_t); |
| |
| // Use Arrow::Buffer::shrink_to_fit = false |
| // underlying buffer only keeps growing. Resize to a smaller size does not reallocate. |
| PARQUET_THROW_NOT_OK(dest_buffer->Resize(rle_size, false)); |
| |
| level_encoder_.Init(Encoding::RLE, max_level, static_cast<int>(num_buffered_values_), |
| dest_buffer->mutable_data() + sizeof(int32_t), |
| static_cast<int>(dest_buffer->size()) - sizeof(int32_t)); |
| int encoded = |
| level_encoder_.Encode(static_cast<int>(num_buffered_values_), |
| reinterpret_cast<const int16_t*>(src_buffer.data())); |
| DCHECK_EQ(encoded, num_buffered_values_); |
| reinterpret_cast<int32_t*>(dest_buffer->mutable_data())[0] = level_encoder_.len(); |
| int64_t encoded_size = level_encoder_.len() + sizeof(int32_t); |
| return encoded_size; |
| } |
| |
| void ColumnWriter::AddDataPage() { |
| int64_t definition_levels_rle_size = 0; |
| int64_t repetition_levels_rle_size = 0; |
| |
| std::shared_ptr<Buffer> values = GetValuesBuffer(); |
| |
| if (descr_->max_definition_level() > 0) { |
| definition_levels_rle_size = |
| RleEncodeLevels(definition_levels_sink_->GetBufferRef(), |
| definition_levels_rle_.get(), descr_->max_definition_level()); |
| } |
| |
| if (descr_->max_repetition_level() > 0) { |
| repetition_levels_rle_size = |
| RleEncodeLevels(repetition_levels_sink_->GetBufferRef(), |
| repetition_levels_rle_.get(), descr_->max_repetition_level()); |
| } |
| |
| int64_t uncompressed_size = |
| definition_levels_rle_size + repetition_levels_rle_size + values->size(); |
| |
| // Use Arrow::Buffer::shrink_to_fit = false |
| // underlying buffer only keeps growing. Resize to a smaller size does not reallocate. |
| PARQUET_THROW_NOT_OK(uncompressed_data_->Resize(uncompressed_size, false)); |
| |
| // Concatenate data into a single buffer |
| uint8_t* uncompressed_ptr = uncompressed_data_->mutable_data(); |
| memcpy(uncompressed_ptr, repetition_levels_rle_->data(), repetition_levels_rle_size); |
| uncompressed_ptr += repetition_levels_rle_size; |
| memcpy(uncompressed_ptr, definition_levels_rle_->data(), definition_levels_rle_size); |
| uncompressed_ptr += definition_levels_rle_size; |
| memcpy(uncompressed_ptr, values->data(), values->size()); |
| |
| EncodedStatistics page_stats = GetPageStatistics(); |
| ResetPageStatistics(); |
| |
| std::shared_ptr<Buffer> compressed_data; |
| if (pager_->has_compressor()) { |
| pager_->Compress(*(uncompressed_data_.get()), compressed_data_.get()); |
| compressed_data = compressed_data_; |
| } else { |
| compressed_data = uncompressed_data_; |
| } |
| |
| // Write the page to OutputStream eagerly if there is no dictionary or |
| // if dictionary encoding has fallen back to PLAIN |
| if (has_dictionary_ && !fallback_) { // Save pages until end of dictionary encoding |
| std::shared_ptr<Buffer> compressed_data_copy; |
| PARQUET_THROW_NOT_OK(compressed_data->Copy(0, compressed_data->size(), allocator_, |
| &compressed_data_copy)); |
| CompressedDataPage page(compressed_data_copy, |
| static_cast<int32_t>(num_buffered_values_), encoding_, |
| Encoding::RLE, Encoding::RLE, uncompressed_size, page_stats); |
| data_pages_.push_back(std::move(page)); |
| } else { // Eagerly write pages |
| CompressedDataPage page(compressed_data, static_cast<int32_t>(num_buffered_values_), |
| encoding_, Encoding::RLE, Encoding::RLE, uncompressed_size, |
| page_stats); |
| WriteDataPage(page); |
| } |
| |
| // Re-initialize the sinks for next Page. |
| InitSinks(); |
| num_buffered_values_ = 0; |
| num_buffered_encoded_values_ = 0; |
| } |
| |
| void ColumnWriter::WriteDataPage(const CompressedDataPage& page) { |
| total_bytes_written_ += pager_->WriteDataPage(page); |
| } |
| |
| int64_t ColumnWriter::Close() { |
| if (!closed_) { |
| closed_ = true; |
| if (has_dictionary_ && !fallback_) { |
| WriteDictionaryPage(); |
| } |
| |
| FlushBufferedDataPages(); |
| |
| EncodedStatistics chunk_statistics = GetChunkStatistics(); |
| if (chunk_statistics.is_set()) { |
| metadata_->SetStatistics(SortOrder::SIGNED == descr_->sort_order(), |
| chunk_statistics); |
| } |
| pager_->Close(has_dictionary_, fallback_); |
| } |
| |
| return total_bytes_written_; |
| } |
| |
| void ColumnWriter::FlushBufferedDataPages() { |
| // Write all outstanding data to a new page |
| if (num_buffered_values_ > 0) { |
| AddDataPage(); |
| } |
| for (size_t i = 0; i < data_pages_.size(); i++) { |
| WriteDataPage(data_pages_[i]); |
| } |
| data_pages_.clear(); |
| } |
| |
| // ---------------------------------------------------------------------- |
| // TypedColumnWriter |
| |
| template <typename Type> |
| TypedColumnWriter<Type>::TypedColumnWriter(ColumnChunkMetaDataBuilder* metadata, |
| std::unique_ptr<PageWriter> pager, |
| Encoding::type encoding, |
| const WriterProperties* properties) |
| : ColumnWriter(metadata, std::move(pager), (encoding == Encoding::PLAIN_DICTIONARY || |
| encoding == Encoding::RLE_DICTIONARY), |
| encoding, properties) { |
| switch (encoding) { |
| case Encoding::PLAIN: |
| current_encoder_.reset(new PlainEncoder<Type>(descr_, properties->memory_pool())); |
| break; |
| case Encoding::PLAIN_DICTIONARY: |
| case Encoding::RLE_DICTIONARY: |
| current_encoder_.reset( |
| new DictEncoder<Type>(descr_, &pool_, properties->memory_pool())); |
| break; |
| default: |
| ParquetException::NYI("Selected encoding is not supported"); |
| } |
| |
| if (properties->statistics_enabled(descr_->path()) && |
| (SortOrder::UNKNOWN != descr_->sort_order())) { |
| page_statistics_ = std::unique_ptr<TypedStats>(new TypedStats(descr_, allocator_)); |
| chunk_statistics_ = std::unique_ptr<TypedStats>(new TypedStats(descr_, allocator_)); |
| } |
| } |
| |
| // Only one Dictionary Page is written. |
| // Fallback to PLAIN if dictionary page limit is reached. |
| template <typename Type> |
| void TypedColumnWriter<Type>::CheckDictionarySizeLimit() { |
| auto dict_encoder = static_cast<DictEncoder<Type>*>(current_encoder_.get()); |
| if (dict_encoder->dict_encoded_size() >= properties_->dictionary_pagesize_limit()) { |
| WriteDictionaryPage(); |
| // Serialize the buffered Dictionary Indicies |
| FlushBufferedDataPages(); |
| fallback_ = true; |
| // Only PLAIN encoding is supported for fallback in V1 |
| current_encoder_.reset(new PlainEncoder<Type>(descr_, properties_->memory_pool())); |
| encoding_ = Encoding::PLAIN; |
| } |
| } |
| |
| template <typename Type> |
| void TypedColumnWriter<Type>::WriteDictionaryPage() { |
| auto dict_encoder = static_cast<DictEncoder<Type>*>(current_encoder_.get()); |
| std::shared_ptr<PoolBuffer> buffer = |
| AllocateBuffer(properties_->memory_pool(), dict_encoder->dict_encoded_size()); |
| dict_encoder->WriteDict(buffer->mutable_data()); |
| // TODO Get rid of this deep call |
| dict_encoder->mem_pool()->FreeAll(); |
| |
| DictionaryPage page(buffer, dict_encoder->num_entries(), |
| properties_->dictionary_index_encoding()); |
| total_bytes_written_ += pager_->WriteDictionaryPage(page); |
| } |
| |
| template <typename Type> |
| EncodedStatistics TypedColumnWriter<Type>::GetPageStatistics() { |
| EncodedStatistics result; |
| if (page_statistics_) result = page_statistics_->Encode(); |
| return result; |
| } |
| |
| template <typename Type> |
| EncodedStatistics TypedColumnWriter<Type>::GetChunkStatistics() { |
| EncodedStatistics result; |
| if (chunk_statistics_) result = chunk_statistics_->Encode(); |
| return result; |
| } |
| |
| template <typename Type> |
| void TypedColumnWriter<Type>::ResetPageStatistics() { |
| if (chunk_statistics_ != nullptr) { |
| chunk_statistics_->Merge(*page_statistics_); |
| page_statistics_->Reset(); |
| } |
| } |
| |
| // ---------------------------------------------------------------------- |
| // Dynamic column writer constructor |
| |
| std::shared_ptr<ColumnWriter> ColumnWriter::Make(ColumnChunkMetaDataBuilder* metadata, |
| std::unique_ptr<PageWriter> pager, |
| const WriterProperties* properties) { |
| const ColumnDescriptor* descr = metadata->descr(); |
| Encoding::type encoding = properties->encoding(descr->path()); |
| if (properties->dictionary_enabled(descr->path()) && |
| descr->physical_type() != Type::BOOLEAN) { |
| encoding = properties->dictionary_page_encoding(); |
| } |
| switch (descr->physical_type()) { |
| case Type::BOOLEAN: |
| return std::make_shared<BoolWriter>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::INT32: |
| return std::make_shared<Int32Writer>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::INT64: |
| return std::make_shared<Int64Writer>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::INT96: |
| return std::make_shared<Int96Writer>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::FLOAT: |
| return std::make_shared<FloatWriter>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::DOUBLE: |
| return std::make_shared<DoubleWriter>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::BYTE_ARRAY: |
| return std::make_shared<ByteArrayWriter>(metadata, std::move(pager), encoding, |
| properties); |
| case Type::FIXED_LEN_BYTE_ARRAY: |
| return std::make_shared<FixedLenByteArrayWriter>(metadata, std::move(pager), |
| encoding, properties); |
| default: |
| ParquetException::NYI("type reader not implemented"); |
| } |
| // Unreachable code, but supress compiler warning |
| return std::shared_ptr<ColumnWriter>(nullptr); |
| } |
| |
| // ---------------------------------------------------------------------- |
| // Instantiate templated classes |
| |
| template <typename DType> |
| inline int64_t TypedColumnWriter<DType>::WriteMiniBatch(int64_t num_values, |
| const int16_t* def_levels, |
| const int16_t* rep_levels, |
| const T* values) { |
| int64_t values_to_write = 0; |
| // If the field is required and non-repeated, there are no definition levels |
| if (descr_->max_definition_level() > 0) { |
| for (int64_t i = 0; i < num_values; ++i) { |
| if (def_levels[i] == descr_->max_definition_level()) { |
| ++values_to_write; |
| } |
| } |
| |
| WriteDefinitionLevels(num_values, def_levels); |
| } else { |
| // Required field, write all values |
| values_to_write = num_values; |
| } |
| |
| // Not present for non-repeated fields |
| if (descr_->max_repetition_level() > 0) { |
| // A row could include more than one value |
| // Count the occasions where we start a new row |
| for (int64_t i = 0; i < num_values; ++i) { |
| if (rep_levels[i] == 0) { |
| rows_written_++; |
| } |
| } |
| |
| WriteRepetitionLevels(num_values, rep_levels); |
| } else { |
| // Each value is exactly one row |
| rows_written_ += static_cast<int>(num_values); |
| } |
| |
| // PARQUET-780 |
| if (values_to_write > 0) { |
| DCHECK(nullptr != values) << "Values ptr cannot be NULL"; |
| } |
| |
| WriteValues(values_to_write, values); |
| |
| if (page_statistics_ != nullptr) { |
| page_statistics_->Update(values, values_to_write, num_values - values_to_write); |
| } |
| |
| num_buffered_values_ += num_values; |
| num_buffered_encoded_values_ += values_to_write; |
| |
| if (current_encoder_->EstimatedDataEncodedSize() >= properties_->data_pagesize()) { |
| AddDataPage(); |
| } |
| if (has_dictionary_ && !fallback_) { |
| CheckDictionarySizeLimit(); |
| } |
| |
| return values_to_write; |
| } |
| |
| template <typename DType> |
| inline int64_t TypedColumnWriter<DType>::WriteMiniBatchSpaced( |
| int64_t num_values, const int16_t* def_levels, const int16_t* rep_levels, |
| const uint8_t* valid_bits, int64_t valid_bits_offset, const T* values, |
| int64_t* num_spaced_written) { |
| int64_t values_to_write = 0; |
| int64_t spaced_values_to_write = 0; |
| // If the field is required and non-repeated, there are no definition levels |
| if (descr_->max_definition_level() > 0) { |
| // Minimal definition level for which spaced values are written |
| int16_t min_spaced_def_level = descr_->max_definition_level(); |
| if (descr_->schema_node()->is_optional()) { |
| min_spaced_def_level--; |
| } |
| for (int64_t i = 0; i < num_values; ++i) { |
| if (def_levels[i] == descr_->max_definition_level()) { |
| ++values_to_write; |
| } |
| if (def_levels[i] >= min_spaced_def_level) { |
| ++spaced_values_to_write; |
| } |
| } |
| |
| WriteDefinitionLevels(num_values, def_levels); |
| } else { |
| // Required field, write all values |
| values_to_write = num_values; |
| spaced_values_to_write = num_values; |
| } |
| |
| // Not present for non-repeated fields |
| if (descr_->max_repetition_level() > 0) { |
| // A row could include more than one value |
| // Count the occasions where we start a new row |
| for (int64_t i = 0; i < num_values; ++i) { |
| if (rep_levels[i] == 0) { |
| rows_written_++; |
| } |
| } |
| |
| WriteRepetitionLevels(num_values, rep_levels); |
| } else { |
| // Each value is exactly one row |
| rows_written_ += static_cast<int>(num_values); |
| } |
| |
| if (descr_->schema_node()->is_optional()) { |
| WriteValuesSpaced(spaced_values_to_write, valid_bits, valid_bits_offset, values); |
| } else { |
| WriteValues(values_to_write, values); |
| } |
| *num_spaced_written = spaced_values_to_write; |
| |
| if (page_statistics_ != nullptr) { |
| page_statistics_->UpdateSpaced(values, valid_bits, valid_bits_offset, values_to_write, |
| num_values - values_to_write); |
| } |
| |
| num_buffered_values_ += num_values; |
| num_buffered_encoded_values_ += values_to_write; |
| |
| if (current_encoder_->EstimatedDataEncodedSize() >= properties_->data_pagesize()) { |
| AddDataPage(); |
| } |
| if (has_dictionary_ && !fallback_) { |
| CheckDictionarySizeLimit(); |
| } |
| |
| return values_to_write; |
| } |
| |
| template <typename DType> |
| void TypedColumnWriter<DType>::WriteBatch(int64_t num_values, const int16_t* def_levels, |
| const int16_t* rep_levels, const T* values) { |
| // We check for DataPage limits only after we have inserted the values. If a user |
| // writes a large number of values, the DataPage size can be much above the limit. |
| // The purpose of this chunking is to bound this. Even if a user writes large number |
| // of values, the chunking will ensure the AddDataPage() is called at a reasonable |
| // pagesize limit |
| int64_t write_batch_size = properties_->write_batch_size(); |
| int num_batches = static_cast<int>(num_values / write_batch_size); |
| int64_t num_remaining = num_values % write_batch_size; |
| int64_t value_offset = 0; |
| for (int round = 0; round < num_batches; round++) { |
| int64_t offset = round * write_batch_size; |
| int64_t num_values = WriteMiniBatch(write_batch_size, &def_levels[offset], |
| &rep_levels[offset], &values[value_offset]); |
| value_offset += num_values; |
| } |
| // Write the remaining values |
| int64_t offset = num_batches * write_batch_size; |
| WriteMiniBatch(num_remaining, &def_levels[offset], &rep_levels[offset], |
| &values[value_offset]); |
| } |
| |
| template <typename DType> |
| void TypedColumnWriter<DType>::WriteBatchSpaced( |
| int64_t num_values, const int16_t* def_levels, const int16_t* rep_levels, |
| const uint8_t* valid_bits, int64_t valid_bits_offset, const T* values) { |
| // We check for DataPage limits only after we have inserted the values. If a user |
| // writes a large number of values, the DataPage size can be much above the limit. |
| // The purpose of this chunking is to bound this. Even if a user writes large number |
| // of values, the chunking will ensure the AddDataPage() is called at a reasonable |
| // pagesize limit |
| int64_t write_batch_size = properties_->write_batch_size(); |
| int num_batches = static_cast<int>(num_values / write_batch_size); |
| int64_t num_remaining = num_values % write_batch_size; |
| int64_t num_spaced_written = 0; |
| int64_t values_offset = 0; |
| for (int round = 0; round < num_batches; round++) { |
| int64_t offset = round * write_batch_size; |
| WriteMiniBatchSpaced(write_batch_size, &def_levels[offset], &rep_levels[offset], |
| valid_bits, valid_bits_offset + values_offset, |
| values + values_offset, &num_spaced_written); |
| values_offset += num_spaced_written; |
| } |
| // Write the remaining values |
| int64_t offset = num_batches * write_batch_size; |
| WriteMiniBatchSpaced(num_remaining, &def_levels[offset], &rep_levels[offset], |
| valid_bits, valid_bits_offset + values_offset, |
| values + values_offset, &num_spaced_written); |
| } |
| |
| template <typename DType> |
| void TypedColumnWriter<DType>::WriteValues(int64_t num_values, const T* values) { |
| current_encoder_->Put(values, static_cast<int>(num_values)); |
| } |
| |
| template <typename DType> |
| void TypedColumnWriter<DType>::WriteValuesSpaced(int64_t num_values, |
| const uint8_t* valid_bits, |
| int64_t valid_bits_offset, |
| const T* values) { |
| current_encoder_->PutSpaced(values, static_cast<int>(num_values), valid_bits, |
| valid_bits_offset); |
| } |
| |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<BooleanType>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<Int32Type>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<Int64Type>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<Int96Type>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<FloatType>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<DoubleType>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<ByteArrayType>; |
| template class PARQUET_TEMPLATE_EXPORT TypedColumnWriter<FLBAType>; |
| |
| } // namespace parquet |
