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team-10/env/Lib/site-packages/pyarrow/include/parquet/properties.h
Nicolò dbf492898c integrata generazione immagini
2025-08-02 07:34:44 +02:00

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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 <memory>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include "arrow/io/caching.h"
#include "arrow/type_fwd.h"
#include "arrow/util/compression.h"
#include "arrow/util/type_fwd.h"
#include "parquet/encryption/encryption.h"
#include "parquet/exception.h"
#include "parquet/parquet_version.h"
#include "parquet/platform.h"
#include "parquet/schema.h"
#include "parquet/type_fwd.h"
#include "parquet/types.h"
namespace parquet {
/// Controls serialization format of data pages. parquet-format v2.0.0
/// introduced a new data page metadata type DataPageV2 and serialized page
/// structure (for example, encoded levels are no longer compressed). Prior to
/// the completion of PARQUET-457 in 2020, this library did not implement
/// DataPageV2 correctly, so if you use the V2 data page format, you may have
/// forward compatibility issues (older versions of the library will be unable
/// to read the files). Note that some Parquet implementations do not implement
/// DataPageV2 at all.
enum class ParquetDataPageVersion { V1, V2 };
/// Controls the level of size statistics that are written to the file.
enum class SizeStatisticsLevel : uint8_t {
// No size statistics are written.
None = 0,
// Only column chunk size statistics are written.
ColumnChunk,
// Both size statistics in the column chunk and page index are written.
PageAndColumnChunk
};
/// Align the default buffer size to a small multiple of a page size.
constexpr int64_t kDefaultBufferSize = 4096 * 4;
constexpr int32_t kDefaultThriftStringSizeLimit = 100 * 1000 * 1000;
// Structs in the thrift definition are relatively large (at least 300 bytes).
// This limits total memory to the same order of magnitude as
// kDefaultStringSizeLimit.
constexpr int32_t kDefaultThriftContainerSizeLimit = 1000 * 1000;
// PARQUET-978: Minimize footer reads by reading 64 KB from the end of the file
constexpr int64_t kDefaultFooterReadSize = 64 * 1024;
class PARQUET_EXPORT ReaderProperties {
public:
explicit ReaderProperties(MemoryPool* pool = ::arrow::default_memory_pool())
: pool_(pool) {}
MemoryPool* memory_pool() const { return pool_; }
std::shared_ptr<ArrowInputStream> GetStream(std::shared_ptr<ArrowInputFile> source,
int64_t start, int64_t num_bytes);
/// Buffered stream reading allows the user to control the memory usage of
/// parquet readers. This ensure that all `RandomAccessFile::ReadAt` calls are
/// wrapped in a buffered reader that uses a fix sized buffer (of size
/// `buffer_size()`) instead of the full size of the ReadAt.
///
/// The primary reason for this control knobs is for resource control and not
/// performance.
bool is_buffered_stream_enabled() const { return buffered_stream_enabled_; }
/// Enable buffered stream reading.
void enable_buffered_stream() { buffered_stream_enabled_ = true; }
/// Disable buffered stream reading.
void disable_buffered_stream() { buffered_stream_enabled_ = false; }
bool read_dense_for_nullable() const { return read_dense_for_nullable_; }
void enable_read_dense_for_nullable() { read_dense_for_nullable_ = true; }
void disable_read_dense_for_nullable() { read_dense_for_nullable_ = false; }
/// Return the size of the buffered stream buffer.
int64_t buffer_size() const { return buffer_size_; }
/// Set the size of the buffered stream buffer in bytes.
void set_buffer_size(int64_t size) { buffer_size_ = size; }
/// \brief Return the size limit on thrift strings.
///
/// This limit helps prevent space and time bombs in files, but may need to
/// be increased in order to read files with especially large headers.
int32_t thrift_string_size_limit() const { return thrift_string_size_limit_; }
/// Set the size limit on thrift strings.
void set_thrift_string_size_limit(int32_t size) { thrift_string_size_limit_ = size; }
/// \brief Return the size limit on thrift containers.
///
/// This limit helps prevent space and time bombs in files, but may need to
/// be increased in order to read files with especially large headers.
int32_t thrift_container_size_limit() const { return thrift_container_size_limit_; }
/// Set the size limit on thrift containers.
void set_thrift_container_size_limit(int32_t size) {
thrift_container_size_limit_ = size;
}
/// Set the decryption properties.
void file_decryption_properties(std::shared_ptr<FileDecryptionProperties> decryption) {
file_decryption_properties_ = std::move(decryption);
}
/// Return the decryption properties.
const std::shared_ptr<FileDecryptionProperties>& file_decryption_properties() const {
return file_decryption_properties_;
}
bool page_checksum_verification() const { return page_checksum_verification_; }
void set_page_checksum_verification(bool check_crc) {
page_checksum_verification_ = check_crc;
}
// Set the default read size to read the footer from a file. For high latency
// file systems and files with large metadata (>64KB) this can increase performance
// by reducing the number of round-trips to retrieve the entire file metadata.
void set_footer_read_size(size_t size) { footer_read_size_ = size; }
size_t footer_read_size() const { return footer_read_size_; }
private:
MemoryPool* pool_;
int64_t buffer_size_ = kDefaultBufferSize;
int32_t thrift_string_size_limit_ = kDefaultThriftStringSizeLimit;
int32_t thrift_container_size_limit_ = kDefaultThriftContainerSizeLimit;
bool buffered_stream_enabled_ = false;
bool page_checksum_verification_ = false;
// Used with a RecordReader.
bool read_dense_for_nullable_ = false;
size_t footer_read_size_ = kDefaultFooterReadSize;
std::shared_ptr<FileDecryptionProperties> file_decryption_properties_;
};
ReaderProperties PARQUET_EXPORT default_reader_properties();
static constexpr int64_t kDefaultDataPageSize = 1024 * 1024;
static constexpr bool DEFAULT_IS_DICTIONARY_ENABLED = true;
static constexpr int64_t DEFAULT_DICTIONARY_PAGE_SIZE_LIMIT = kDefaultDataPageSize;
static constexpr int64_t DEFAULT_WRITE_BATCH_SIZE = 1024;
static constexpr int64_t DEFAULT_MAX_ROW_GROUP_LENGTH = 1024 * 1024;
static constexpr bool DEFAULT_ARE_STATISTICS_ENABLED = true;
static constexpr int64_t DEFAULT_MAX_STATISTICS_SIZE = 4096;
static constexpr Encoding::type DEFAULT_ENCODING = Encoding::UNKNOWN;
static const char DEFAULT_CREATED_BY[] = CREATED_BY_VERSION;
static constexpr Compression::type DEFAULT_COMPRESSION_TYPE = Compression::UNCOMPRESSED;
static constexpr bool DEFAULT_IS_PAGE_INDEX_ENABLED = true;
static constexpr SizeStatisticsLevel DEFAULT_SIZE_STATISTICS_LEVEL =
SizeStatisticsLevel::PageAndColumnChunk;
class PARQUET_EXPORT ColumnProperties {
public:
ColumnProperties(Encoding::type encoding = DEFAULT_ENCODING,
Compression::type codec = DEFAULT_COMPRESSION_TYPE,
bool dictionary_enabled = DEFAULT_IS_DICTIONARY_ENABLED,
bool statistics_enabled = DEFAULT_ARE_STATISTICS_ENABLED,
size_t max_stats_size = DEFAULT_MAX_STATISTICS_SIZE,
bool page_index_enabled = DEFAULT_IS_PAGE_INDEX_ENABLED)
: encoding_(encoding),
codec_(codec),
dictionary_enabled_(dictionary_enabled),
statistics_enabled_(statistics_enabled),
max_stats_size_(max_stats_size),
page_index_enabled_(page_index_enabled) {}
void set_encoding(Encoding::type encoding) { encoding_ = encoding; }
void set_compression(Compression::type codec) { codec_ = codec; }
void set_dictionary_enabled(bool dictionary_enabled) {
dictionary_enabled_ = dictionary_enabled;
}
void set_statistics_enabled(bool statistics_enabled) {
statistics_enabled_ = statistics_enabled;
}
void set_max_statistics_size(size_t max_stats_size) {
max_stats_size_ = max_stats_size;
}
void set_compression_level(int compression_level) {
if (!codec_options_) {
codec_options_ = std::make_shared<CodecOptions>();
}
codec_options_->compression_level = compression_level;
}
void set_codec_options(const std::shared_ptr<CodecOptions>& codec_options) {
codec_options_ = codec_options;
}
void set_page_index_enabled(bool page_index_enabled) {
page_index_enabled_ = page_index_enabled;
}
Encoding::type encoding() const { return encoding_; }
Compression::type compression() const { return codec_; }
bool dictionary_enabled() const { return dictionary_enabled_; }
bool statistics_enabled() const { return statistics_enabled_; }
size_t max_statistics_size() const { return max_stats_size_; }
int compression_level() const {
if (!codec_options_) {
return ::arrow::util::kUseDefaultCompressionLevel;
}
return codec_options_->compression_level;
}
const std::shared_ptr<CodecOptions>& codec_options() const { return codec_options_; }
bool page_index_enabled() const { return page_index_enabled_; }
private:
Encoding::type encoding_;
Compression::type codec_;
bool dictionary_enabled_;
bool statistics_enabled_;
size_t max_stats_size_;
std::shared_ptr<CodecOptions> codec_options_;
bool page_index_enabled_;
};
// EXPERIMENTAL: Options for content-defined chunking.
///
/// Content-defined chunking is an experimental feature that optimizes parquet
/// files for content addressable storage (CAS) systems by writing data pages
/// according to content-defined chunk boundaries. This allows for more
/// efficient deduplication of data across files, hence more efficient network
/// transfers and storage.
/// Each content-defined chunk is written as a separate parquet data page. The
/// following options control the chunks' size and the chunking process. Note
/// that the chunk size is calculated based on the logical value of the data,
/// before any encoding or compression is applied.
struct PARQUET_EXPORT CdcOptions {
/// Minimum chunk size in bytes, default is 256 KiB
/// The rolling hash will not be updated until this size is reached for each chunk.
/// Note that all data sent through the hash function is counted towards the chunk
/// size, including definition and repetition levels if present.
int64_t min_chunk_size = 256 * 1024;
/// Maximum chunk size in bytes, default is 1024 KiB
/// The chunker will create a new chunk whenever the chunk size exceeds this value.
/// Note that the parquet writer has a related `pagesize` property that controls
/// the maximum size of a parquet data page after encoding. While setting
/// `pagesize` to a smaller value than `max_chunk_size` doesn't affect the
/// chunking effectiveness, it results in more small parquet data pages.
int64_t max_chunk_size = 1024 * 1024;
/// Number of bit adjustment to the gearhash mask in order to center the chunk size
/// around the average size more aggressively, default is 0
/// Increasing the normalization level increases the probability of finding a chunk,
/// improving the deduplication ratio, but also increasing the number of small chunks
/// resulting in many small parquet data pages. The default value provides a good
/// balance between deduplication ratio and fragmentation.
/// Use norm_level=1 or norm_level=2 to reach a higher deduplication ratio at the
/// expense of fragmentation. Negative values can also be used to reduce the
/// probability of finding a chunk, resulting in larger chunks and fewer data pages.
/// Note that values outside [-3, 3] are not recommended, prefer using the default
/// value of 0 for most use cases.
int norm_level = 0;
};
class PARQUET_EXPORT WriterProperties {
public:
class Builder {
public:
Builder()
: pool_(::arrow::default_memory_pool()),
dictionary_pagesize_limit_(DEFAULT_DICTIONARY_PAGE_SIZE_LIMIT),
write_batch_size_(DEFAULT_WRITE_BATCH_SIZE),
max_row_group_length_(DEFAULT_MAX_ROW_GROUP_LENGTH),
pagesize_(kDefaultDataPageSize),
version_(ParquetVersion::PARQUET_2_6),
data_page_version_(ParquetDataPageVersion::V1),
created_by_(DEFAULT_CREATED_BY),
store_decimal_as_integer_(false),
page_checksum_enabled_(false),
size_statistics_level_(DEFAULT_SIZE_STATISTICS_LEVEL),
content_defined_chunking_enabled_(false),
content_defined_chunking_options_({}) {}
explicit Builder(const WriterProperties& properties)
: pool_(properties.memory_pool()),
dictionary_pagesize_limit_(properties.dictionary_pagesize_limit()),
write_batch_size_(properties.write_batch_size()),
max_row_group_length_(properties.max_row_group_length()),
pagesize_(properties.data_pagesize()),
version_(properties.version()),
data_page_version_(properties.data_page_version()),
created_by_(properties.created_by()),
store_decimal_as_integer_(properties.store_decimal_as_integer()),
page_checksum_enabled_(properties.page_checksum_enabled()),
size_statistics_level_(properties.size_statistics_level()),
sorting_columns_(properties.sorting_columns()),
default_column_properties_(properties.default_column_properties()),
content_defined_chunking_enabled_(
properties.content_defined_chunking_enabled()),
content_defined_chunking_options_(
properties.content_defined_chunking_options()) {}
virtual ~Builder() {}
/// \brief EXPERIMENTAL: Use content-defined page chunking for all columns.
///
/// Optimize parquet files for content addressable storage (CAS) systems by writing
/// data pages according to content-defined chunk boundaries. This allows for more
/// efficient deduplication of data across files, hence more efficient network
/// transfers and storage. The chunking is based on a rolling hash algorithm that
/// identifies chunk boundaries based on the actual content of the data.
///
/// Note that only the WriteArrow() interface is supported at the moment.
Builder* enable_content_defined_chunking() {
content_defined_chunking_enabled_ = true;
return this;
}
/// \brief EXPERIMENTAL: Disable content-defined page chunking for all columns.
Builder* disable_content_defined_chunking() {
content_defined_chunking_enabled_ = false;
return this;
}
/// \brief EXPERIMENTAL: Specify content-defined chunking options, see CdcOptions.
Builder* content_defined_chunking_options(const CdcOptions& options) {
content_defined_chunking_options_ = options;
return this;
}
/// Specify the memory pool for the writer. Default default_memory_pool.
Builder* memory_pool(MemoryPool* pool) {
pool_ = pool;
return this;
}
/// Enable dictionary encoding in general for all columns. Default
/// enabled.
Builder* enable_dictionary() {
default_column_properties_.set_dictionary_enabled(true);
return this;
}
/// Disable dictionary encoding in general for all columns. Default
/// enabled.
Builder* disable_dictionary() {
default_column_properties_.set_dictionary_enabled(false);
return this;
}
/// Enable dictionary encoding for column specified by `path`. Default
/// enabled.
Builder* enable_dictionary(const std::string& path) {
dictionary_enabled_[path] = true;
return this;
}
/// Enable dictionary encoding for column specified by `path`. Default
/// enabled.
Builder* enable_dictionary(const std::shared_ptr<schema::ColumnPath>& path) {
return this->enable_dictionary(path->ToDotString());
}
/// Disable dictionary encoding for column specified by `path`. Default
/// enabled.
Builder* disable_dictionary(const std::string& path) {
dictionary_enabled_[path] = false;
return this;
}
/// Disable dictionary encoding for column specified by `path`. Default
/// enabled.
Builder* disable_dictionary(const std::shared_ptr<schema::ColumnPath>& path) {
return this->disable_dictionary(path->ToDotString());
}
/// Specify the dictionary page size limit per row group. Default 1MB.
Builder* dictionary_pagesize_limit(int64_t dictionary_psize_limit) {
dictionary_pagesize_limit_ = dictionary_psize_limit;
return this;
}
/// Specify the write batch size while writing batches of Arrow values
/// into Parquet. Default 1024.
Builder* write_batch_size(int64_t write_batch_size) {
write_batch_size_ = write_batch_size;
return this;
}
/// Specify the max number of rows to put in a single row group.
/// Default 1Mi rows.
Builder* max_row_group_length(int64_t max_row_group_length) {
max_row_group_length_ = max_row_group_length;
return this;
}
/// Specify the data page size.
/// Default 1MB.
Builder* data_pagesize(int64_t pg_size) {
pagesize_ = pg_size;
return this;
}
/// Specify the data page version.
/// Default V1.
Builder* data_page_version(ParquetDataPageVersion data_page_version) {
data_page_version_ = data_page_version;
return this;
}
/// Specify the Parquet file version.
/// Default PARQUET_2_6.
Builder* version(ParquetVersion::type version) {
version_ = version;
return this;
}
Builder* created_by(const std::string& created_by) {
created_by_ = created_by;
return this;
}
Builder* enable_page_checksum() {
page_checksum_enabled_ = true;
return this;
}
Builder* disable_page_checksum() {
page_checksum_enabled_ = false;
return this;
}
/// \brief Define the encoding that is used when we don't utilise dictionary encoding.
//
/// This is only applied if dictionary encoding is disabled. If the dictionary grows
/// too large we always fall back to the PLAIN encoding.
Builder* encoding(Encoding::type encoding_type) {
if (encoding_type == Encoding::PLAIN_DICTIONARY ||
encoding_type == Encoding::RLE_DICTIONARY) {
throw ParquetException("Can't use dictionary encoding as fallback encoding");
}
default_column_properties_.set_encoding(encoding_type);
return this;
}
/// \brief Define the encoding that is used when we don't utilise dictionary encoding.
//
/// This is only applied if dictionary encoding is disabled. If the dictionary grows
/// too large we always fall back to the PLAIN encoding.
Builder* encoding(const std::string& path, Encoding::type encoding_type) {
if (encoding_type == Encoding::PLAIN_DICTIONARY ||
encoding_type == Encoding::RLE_DICTIONARY) {
throw ParquetException("Can't use dictionary encoding as fallback encoding");
}
encodings_[path] = encoding_type;
return this;
}
/// \brief Define the encoding that is used when we don't utilise dictionary encoding.
//
/// This is only applied if dictionary encoding is disabled. If the dictionary grows
/// too large we always fall back to the PLAIN encoding.
Builder* encoding(const std::shared_ptr<schema::ColumnPath>& path,
Encoding::type encoding_type) {
return this->encoding(path->ToDotString(), encoding_type);
}
/// Specify compression codec in general for all columns.
/// Default UNCOMPRESSED.
Builder* compression(Compression::type codec) {
default_column_properties_.set_compression(codec);
return this;
}
/// Specify max statistics size to store min max value.
/// Default 4KB.
Builder* max_statistics_size(size_t max_stats_sz) {
default_column_properties_.set_max_statistics_size(max_stats_sz);
return this;
}
/// Specify compression codec for the column specified by `path`.
/// Default UNCOMPRESSED.
Builder* compression(const std::string& path, Compression::type codec) {
codecs_[path] = codec;
return this;
}
/// Specify compression codec for the column specified by `path`.
/// Default UNCOMPRESSED.
Builder* compression(const std::shared_ptr<schema::ColumnPath>& path,
Compression::type codec) {
return this->compression(path->ToDotString(), codec);
}
/// \brief Specify the default compression level for the compressor in
/// every column. In case a column does not have an explicitly specified
/// compression level, the default one would be used.
///
/// The provided compression level is compressor specific. The user would
/// have to familiarize oneself with the available levels for the selected
/// compressor. If the compressor does not allow for selecting different
/// compression levels, calling this function would not have any effect.
/// Parquet and Arrow do not validate the passed compression level. If no
/// level is selected by the user or if the special
/// std::numeric_limits<int>::min() value is passed, then Arrow selects the
/// compression level.
///
/// If other compressor-specific options need to be set in addition to the compression
/// level, use the codec_options method.
Builder* compression_level(int compression_level) {
default_column_properties_.set_compression_level(compression_level);
return this;
}
/// \brief Specify a compression level for the compressor for the column
/// described by path.
///
/// The provided compression level is compressor specific. The user would
/// have to familiarize oneself with the available levels for the selected
/// compressor. If the compressor does not allow for selecting different
/// compression levels, calling this function would not have any effect.
/// Parquet and Arrow do not validate the passed compression level. If no
/// level is selected by the user or if the special
/// std::numeric_limits<int>::min() value is passed, then Arrow selects the
/// compression level.
Builder* compression_level(const std::string& path, int compression_level) {
if (!codec_options_[path]) {
codec_options_[path] = std::make_shared<CodecOptions>();
}
codec_options_[path]->compression_level = compression_level;
return this;
}
/// \brief Specify a compression level for the compressor for the column
/// described by path.
///
/// The provided compression level is compressor specific. The user would
/// have to familiarize oneself with the available levels for the selected
/// compressor. If the compressor does not allow for selecting different
/// compression levels, calling this function would not have any effect.
/// Parquet and Arrow do not validate the passed compression level. If no
/// level is selected by the user or if the special
/// std::numeric_limits<int>::min() value is passed, then Arrow selects the
/// compression level.
Builder* compression_level(const std::shared_ptr<schema::ColumnPath>& path,
int compression_level) {
return this->compression_level(path->ToDotString(), compression_level);
}
/// \brief Specify the default codec options for the compressor in
/// every column.
///
/// The codec options allow configuring the compression level as well
/// as other codec-specific options.
Builder* codec_options(
const std::shared_ptr<::arrow::util::CodecOptions>& codec_options) {
default_column_properties_.set_codec_options(codec_options);
return this;
}
/// \brief Specify the codec options for the compressor for the column
/// described by path.
Builder* codec_options(
const std::string& path,
const std::shared_ptr<::arrow::util::CodecOptions>& codec_options) {
codec_options_[path] = codec_options;
return this;
}
/// \brief Specify the codec options for the compressor for the column
/// described by path.
Builder* codec_options(
const std::shared_ptr<schema::ColumnPath>& path,
const std::shared_ptr<::arrow::util::CodecOptions>& codec_options) {
return this->codec_options(path->ToDotString(), codec_options);
}
/// Define the file encryption properties.
/// Default NULL.
Builder* encryption(
std::shared_ptr<FileEncryptionProperties> file_encryption_properties) {
file_encryption_properties_ = std::move(file_encryption_properties);
return this;
}
/// Enable statistics in general.
/// Default enabled.
Builder* enable_statistics() {
default_column_properties_.set_statistics_enabled(true);
return this;
}
/// Disable statistics in general.
/// Default enabled.
Builder* disable_statistics() {
default_column_properties_.set_statistics_enabled(false);
return this;
}
/// Enable statistics for the column specified by `path`.
/// Default enabled.
Builder* enable_statistics(const std::string& path) {
statistics_enabled_[path] = true;
return this;
}
/// Enable statistics for the column specified by `path`.
/// Default enabled.
Builder* enable_statistics(const std::shared_ptr<schema::ColumnPath>& path) {
return this->enable_statistics(path->ToDotString());
}
/// Define the sorting columns.
/// Default empty.
///
/// If sorting columns are set, user should ensure that records
/// are sorted by sorting columns. Otherwise, the storing data
/// will be inconsistent with sorting_columns metadata.
Builder* set_sorting_columns(std::vector<SortingColumn> sorting_columns) {
sorting_columns_ = std::move(sorting_columns);
return this;
}
/// Disable statistics for the column specified by `path`.
/// Default enabled.
Builder* disable_statistics(const std::string& path) {
statistics_enabled_[path] = false;
return this;
}
/// Disable statistics for the column specified by `path`.
/// Default enabled.
Builder* disable_statistics(const std::shared_ptr<schema::ColumnPath>& path) {
return this->disable_statistics(path->ToDotString());
}
/// Allow decimals with 1 <= precision <= 18 to be stored as integers.
///
/// In Parquet, DECIMAL can be stored in any of the following physical types:
/// - int32: for 1 <= precision <= 9.
/// - int64: for 10 <= precision <= 18.
/// - fixed_len_byte_array: precision is limited by the array size.
/// Length n can store <= floor(log_10(2^(8*n - 1) - 1)) base-10 digits.
/// - binary: precision is unlimited. The minimum number of bytes to store
/// the unscaled value is used.
///
/// By default, this is DISABLED and all decimal types annotate fixed_len_byte_array.
///
/// When enabled, the C++ writer will use following physical types to store decimals:
/// - int32: for 1 <= precision <= 9.
/// - int64: for 10 <= precision <= 18.
/// - fixed_len_byte_array: for precision > 18.
///
/// As a consequence, decimal columns stored in integer types are more compact.
Builder* enable_store_decimal_as_integer() {
store_decimal_as_integer_ = true;
return this;
}
/// Disable decimal logical type with 1 <= precision <= 18 to be stored
/// as integer physical type.
///
/// Default disabled.
Builder* disable_store_decimal_as_integer() {
store_decimal_as_integer_ = false;
return this;
}
/// Enable writing page index in general for all columns. Default disabled.
///
/// Writing statistics to the page index disables the old method of writing
/// statistics to each data page header.
/// The page index makes filtering more efficient than the page header, as
/// it gathers all the statistics for a Parquet file in a single place,
/// avoiding scattered I/O.
///
/// Please check the link below for more details:
/// https://github.com/apache/parquet-format/blob/master/PageIndex.md
Builder* enable_write_page_index() {
default_column_properties_.set_page_index_enabled(true);
return this;
}
/// Disable writing page index in general for all columns. Default disabled.
Builder* disable_write_page_index() {
default_column_properties_.set_page_index_enabled(false);
return this;
}
/// Enable writing page index for column specified by `path`. Default disabled.
Builder* enable_write_page_index(const std::string& path) {
page_index_enabled_[path] = true;
return this;
}
/// Enable writing page index for column specified by `path`. Default disabled.
Builder* enable_write_page_index(const std::shared_ptr<schema::ColumnPath>& path) {
return this->enable_write_page_index(path->ToDotString());
}
/// Disable writing page index for column specified by `path`. Default disabled.
Builder* disable_write_page_index(const std::string& path) {
page_index_enabled_[path] = false;
return this;
}
/// Disable writing page index for column specified by `path`. Default disabled.
Builder* disable_write_page_index(const std::shared_ptr<schema::ColumnPath>& path) {
return this->disable_write_page_index(path->ToDotString());
}
/// \brief Set the level to write size statistics for all columns. Default is None.
///
/// \param level The level to write size statistics. Note that if page index is not
/// enabled, page level size statistics will not be written even if the level
/// is set to PageAndColumnChunk.
Builder* set_size_statistics_level(SizeStatisticsLevel level) {
size_statistics_level_ = level;
return this;
}
/// \brief Build the WriterProperties with the builder parameters.
/// \return The WriterProperties defined by the builder.
std::shared_ptr<WriterProperties> build() {
std::unordered_map<std::string, ColumnProperties> column_properties;
auto get = [&](const std::string& key) -> ColumnProperties& {
auto it = column_properties.find(key);
if (it == column_properties.end())
return column_properties[key] = default_column_properties_;
else
return it->second;
};
for (const auto& item : encodings_) get(item.first).set_encoding(item.second);
for (const auto& item : codecs_) get(item.first).set_compression(item.second);
for (const auto& item : codec_options_)
get(item.first).set_codec_options(item.second);
for (const auto& item : dictionary_enabled_)
get(item.first).set_dictionary_enabled(item.second);
for (const auto& item : statistics_enabled_)
get(item.first).set_statistics_enabled(item.second);
for (const auto& item : page_index_enabled_)
get(item.first).set_page_index_enabled(item.second);
return std::shared_ptr<WriterProperties>(new WriterProperties(
pool_, dictionary_pagesize_limit_, write_batch_size_, max_row_group_length_,
pagesize_, version_, created_by_, page_checksum_enabled_,
size_statistics_level_, std::move(file_encryption_properties_),
default_column_properties_, column_properties, data_page_version_,
store_decimal_as_integer_, std::move(sorting_columns_),
content_defined_chunking_enabled_, content_defined_chunking_options_));
}
private:
MemoryPool* pool_;
int64_t dictionary_pagesize_limit_;
int64_t write_batch_size_;
int64_t max_row_group_length_;
int64_t pagesize_;
ParquetVersion::type version_;
ParquetDataPageVersion data_page_version_;
std::string created_by_;
bool store_decimal_as_integer_;
bool page_checksum_enabled_;
SizeStatisticsLevel size_statistics_level_;
std::shared_ptr<FileEncryptionProperties> file_encryption_properties_;
// If empty, there is no sorting columns.
std::vector<SortingColumn> sorting_columns_;
// Settings used for each column unless overridden in any of the maps below
ColumnProperties default_column_properties_;
std::unordered_map<std::string, Encoding::type> encodings_;
std::unordered_map<std::string, Compression::type> codecs_;
std::unordered_map<std::string, std::shared_ptr<CodecOptions>> codec_options_;
std::unordered_map<std::string, bool> dictionary_enabled_;
std::unordered_map<std::string, bool> statistics_enabled_;
std::unordered_map<std::string, bool> page_index_enabled_;
bool content_defined_chunking_enabled_;
CdcOptions content_defined_chunking_options_;
};
inline MemoryPool* memory_pool() const { return pool_; }
inline int64_t dictionary_pagesize_limit() const { return dictionary_pagesize_limit_; }
inline int64_t write_batch_size() const { return write_batch_size_; }
inline int64_t max_row_group_length() const { return max_row_group_length_; }
inline int64_t data_pagesize() const { return pagesize_; }
inline ParquetDataPageVersion data_page_version() const {
return parquet_data_page_version_;
}
inline ParquetVersion::type version() const { return parquet_version_; }
inline std::string created_by() const { return parquet_created_by_; }
inline bool store_decimal_as_integer() const { return store_decimal_as_integer_; }
inline bool page_checksum_enabled() const { return page_checksum_enabled_; }
inline bool content_defined_chunking_enabled() const {
return content_defined_chunking_enabled_;
}
inline CdcOptions content_defined_chunking_options() const {
return content_defined_chunking_options_;
}
inline SizeStatisticsLevel size_statistics_level() const {
return size_statistics_level_;
}
inline Encoding::type dictionary_index_encoding() const {
if (parquet_version_ == ParquetVersion::PARQUET_1_0) {
return Encoding::PLAIN_DICTIONARY;
} else {
return Encoding::RLE_DICTIONARY;
}
}
inline Encoding::type dictionary_page_encoding() const {
if (parquet_version_ == ParquetVersion::PARQUET_1_0) {
return Encoding::PLAIN_DICTIONARY;
} else {
return Encoding::PLAIN;
}
}
const ColumnProperties& column_properties(
const std::shared_ptr<schema::ColumnPath>& path) const {
auto it = column_properties_.find(path->ToDotString());
if (it != column_properties_.end()) return it->second;
return default_column_properties_;
}
Encoding::type encoding(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).encoding();
}
Compression::type compression(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).compression();
}
int compression_level(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).compression_level();
}
const std::shared_ptr<CodecOptions> codec_options(
const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).codec_options();
}
bool dictionary_enabled(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).dictionary_enabled();
}
const std::vector<SortingColumn>& sorting_columns() const { return sorting_columns_; }
bool statistics_enabled(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).statistics_enabled();
}
size_t max_statistics_size(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).max_statistics_size();
}
bool page_index_enabled(const std::shared_ptr<schema::ColumnPath>& path) const {
return column_properties(path).page_index_enabled();
}
bool page_index_enabled() const {
if (default_column_properties_.page_index_enabled()) {
return true;
}
for (const auto& item : column_properties_) {
if (item.second.page_index_enabled()) {
return true;
}
}
return false;
}
inline FileEncryptionProperties* file_encryption_properties() const {
return file_encryption_properties_.get();
}
std::shared_ptr<ColumnEncryptionProperties> column_encryption_properties(
const std::string& path) const {
if (file_encryption_properties_) {
return file_encryption_properties_->column_encryption_properties(path);
} else {
return NULLPTR;
}
}
// \brief Return the default column properties
const ColumnProperties& default_column_properties() const {
return default_column_properties_;
}
private:
explicit WriterProperties(
MemoryPool* pool, int64_t dictionary_pagesize_limit, int64_t write_batch_size,
int64_t max_row_group_length, int64_t pagesize, ParquetVersion::type version,
const std::string& created_by, bool page_write_checksum_enabled,
SizeStatisticsLevel size_statistics_level,
std::shared_ptr<FileEncryptionProperties> file_encryption_properties,
const ColumnProperties& default_column_properties,
const std::unordered_map<std::string, ColumnProperties>& column_properties,
ParquetDataPageVersion data_page_version, bool store_short_decimal_as_integer,
std::vector<SortingColumn> sorting_columns, bool content_defined_chunking_enabled,
CdcOptions content_defined_chunking_options)
: pool_(pool),
dictionary_pagesize_limit_(dictionary_pagesize_limit),
write_batch_size_(write_batch_size),
max_row_group_length_(max_row_group_length),
pagesize_(pagesize),
parquet_data_page_version_(data_page_version),
parquet_version_(version),
parquet_created_by_(created_by),
store_decimal_as_integer_(store_short_decimal_as_integer),
page_checksum_enabled_(page_write_checksum_enabled),
size_statistics_level_(size_statistics_level),
file_encryption_properties_(file_encryption_properties),
sorting_columns_(std::move(sorting_columns)),
default_column_properties_(default_column_properties),
column_properties_(column_properties),
content_defined_chunking_enabled_(content_defined_chunking_enabled),
content_defined_chunking_options_(content_defined_chunking_options) {}
MemoryPool* pool_;
int64_t dictionary_pagesize_limit_;
int64_t write_batch_size_;
int64_t max_row_group_length_;
int64_t pagesize_;
ParquetDataPageVersion parquet_data_page_version_;
ParquetVersion::type parquet_version_;
std::string parquet_created_by_;
bool store_decimal_as_integer_;
bool page_checksum_enabled_;
SizeStatisticsLevel size_statistics_level_;
std::shared_ptr<FileEncryptionProperties> file_encryption_properties_;
std::vector<SortingColumn> sorting_columns_;
ColumnProperties default_column_properties_;
std::unordered_map<std::string, ColumnProperties> column_properties_;
bool content_defined_chunking_enabled_;
CdcOptions content_defined_chunking_options_;
};
PARQUET_EXPORT const std::shared_ptr<WriterProperties>& default_writer_properties();
// ----------------------------------------------------------------------
// Properties specific to Apache Arrow columnar read and write
static constexpr bool kArrowDefaultUseThreads = false;
// Default number of rows to read when using ::arrow::RecordBatchReader
static constexpr int64_t kArrowDefaultBatchSize = 64 * 1024;
constexpr inline ::arrow::Type::type kArrowDefaultBinaryType = ::arrow::Type::BINARY;
constexpr inline ::arrow::Type::type kArrowDefaultListType = ::arrow::Type::LIST;
/// EXPERIMENTAL: Properties for configuring FileReader behavior.
class PARQUET_EXPORT ArrowReaderProperties {
public:
explicit ArrowReaderProperties(bool use_threads = kArrowDefaultUseThreads)
: use_threads_(use_threads),
read_dict_indices_(),
batch_size_(kArrowDefaultBatchSize),
pre_buffer_(true),
cache_options_(::arrow::io::CacheOptions::LazyDefaults()),
coerce_int96_timestamp_unit_(::arrow::TimeUnit::NANO),
binary_type_(kArrowDefaultBinaryType),
list_type_(kArrowDefaultListType),
arrow_extensions_enabled_(false),
should_load_statistics_(false) {}
/// \brief Set whether to use the IO thread pool to parse columns in parallel.
///
/// Default is false.
void set_use_threads(bool use_threads) { use_threads_ = use_threads; }
/// Return whether will use multiple threads.
bool use_threads() const { return use_threads_; }
/// \brief Set whether to read a particular column as dictionary encoded.
///
/// If the file metadata contains a serialized Arrow schema, then ...
////
/// This is only supported for columns with a Parquet physical type of
/// BYTE_ARRAY, such as string or binary types.
void set_read_dictionary(int column_index, bool read_dict) {
if (read_dict) {
read_dict_indices_.insert(column_index);
} else {
read_dict_indices_.erase(column_index);
}
}
/// Return whether the column at the index will be read as dictionary.
bool read_dictionary(int column_index) const {
if (read_dict_indices_.find(column_index) != read_dict_indices_.end()) {
return true;
} else {
return false;
}
}
/// \brief Set the Arrow binary type to read BYTE_ARRAY columns as.
///
/// Allowed values are Type::BINARY, Type::LARGE_BINARY and Type::BINARY_VIEW.
/// Default is Type::BINARY.
///
/// If a BYTE_ARRAY column has the STRING logical type, it is read as the
/// Arrow string type corresponding to the configured binary type (for example
/// Type::LARGE_STRING if the configured binary type is Type::LARGE_BINARY).
///
/// However, if a serialized Arrow schema is found in the Parquet metadata,
/// this setting is ignored and the Arrow schema takes precedence
/// (see ArrowWriterProperties::store_schema).
void set_binary_type(::arrow::Type::type value) { binary_type_ = value; }
/// Return the Arrow binary type to read BYTE_ARRAY columns as.
::arrow::Type::type binary_type() const { return binary_type_; }
/// \brief Set the Arrow list type to read Parquet list columns as.
///
/// Allowed values are Type::LIST and Type::LARGE_LIST.
/// Default is Type::LIST.
///
/// However, if a serialized Arrow schema is found in the Parquet metadata,
/// this setting is ignored and the Arrow schema takes precedence
/// (see ArrowWriterProperties::store_schema).
void set_list_type(::arrow::Type::type value) { list_type_ = value; }
/// Return the Arrow list type to read Parquet list columns as.
::arrow::Type::type list_type() const { return list_type_; }
/// \brief Set the maximum number of rows to read into a record batch.
///
/// Will only be fewer rows when there are no more rows in the file.
/// Note that some APIs such as ReadTable may ignore this setting.
void set_batch_size(int64_t batch_size) { batch_size_ = batch_size; }
/// Return the batch size in rows.
///
/// Note that some APIs such as ReadTable may ignore this setting.
int64_t batch_size() const { return batch_size_; }
/// Enable read coalescing (default false).
///
/// When enabled, the Arrow reader will pre-buffer necessary regions
/// of the file in-memory. This is intended to improve performance on
/// high-latency filesystems (e.g. Amazon S3).
void set_pre_buffer(bool pre_buffer) { pre_buffer_ = pre_buffer; }
/// Return whether read coalescing is enabled.
bool pre_buffer() const { return pre_buffer_; }
/// Set options for read coalescing. This can be used to tune the
/// implementation for characteristics of different filesystems.
void set_cache_options(::arrow::io::CacheOptions options) { cache_options_ = options; }
/// Return the options for read coalescing.
const ::arrow::io::CacheOptions& cache_options() const { return cache_options_; }
/// Set execution context for read coalescing.
void set_io_context(const ::arrow::io::IOContext& ctx) { io_context_ = ctx; }
/// Return the execution context used for read coalescing.
const ::arrow::io::IOContext& io_context() const { return io_context_; }
/// Set timestamp unit to use for deprecated INT96-encoded timestamps
/// (default is NANO).
void set_coerce_int96_timestamp_unit(::arrow::TimeUnit::type unit) {
coerce_int96_timestamp_unit_ = unit;
}
::arrow::TimeUnit::type coerce_int96_timestamp_unit() const {
return coerce_int96_timestamp_unit_;
}
/// Enable Parquet-supported Arrow extension types.
///
/// When enabled, Parquet logical types will be mapped to their corresponding Arrow
/// extension types at read time, if such exist. Currently only arrow::extension::json()
/// extension type is supported. Columns whose LogicalType is JSON will be interpreted
/// as arrow::extension::json(), with storage type inferred from the serialized Arrow
/// schema if present, or `utf8` by default.
void set_arrow_extensions_enabled(bool extensions_enabled) {
arrow_extensions_enabled_ = extensions_enabled;
}
bool get_arrow_extensions_enabled() const { return arrow_extensions_enabled_; }
/// \brief Set whether to load statistics as much as possible.
///
/// Default is false.
void set_should_load_statistics(bool should_load_statistics) {
should_load_statistics_ = should_load_statistics;
}
/// Return whether loading statistics as much as possible.
bool should_load_statistics() const { return should_load_statistics_; }
private:
bool use_threads_;
std::unordered_set<int> read_dict_indices_;
int64_t batch_size_;
bool pre_buffer_;
::arrow::io::IOContext io_context_;
::arrow::io::CacheOptions cache_options_;
::arrow::TimeUnit::type coerce_int96_timestamp_unit_;
::arrow::Type::type binary_type_;
::arrow::Type::type list_type_;
bool arrow_extensions_enabled_;
bool should_load_statistics_;
};
/// EXPERIMENTAL: Constructs the default ArrowReaderProperties
PARQUET_EXPORT
ArrowReaderProperties default_arrow_reader_properties();
class PARQUET_EXPORT ArrowWriterProperties {
public:
enum EngineVersion {
V1, // Supports only nested lists.
V2 // Full support for all nesting combinations
};
class Builder {
public:
Builder()
: write_timestamps_as_int96_(false),
coerce_timestamps_enabled_(false),
coerce_timestamps_unit_(::arrow::TimeUnit::SECOND),
truncated_timestamps_allowed_(false),
store_schema_(false),
compliant_nested_types_(true),
engine_version_(V2),
use_threads_(kArrowDefaultUseThreads),
executor_(NULLPTR) {}
virtual ~Builder() = default;
/// \brief Disable writing legacy int96 timestamps (default disabled).
Builder* disable_deprecated_int96_timestamps() {
write_timestamps_as_int96_ = false;
return this;
}
/// \brief Enable writing legacy int96 timestamps (default disabled).
///
/// May be turned on to write timestamps compatible with older Parquet writers.
/// This takes precedent over coerce_timestamps.
Builder* enable_deprecated_int96_timestamps() {
write_timestamps_as_int96_ = true;
return this;
}
/// \brief Coerce all timestamps to the specified time unit.
/// \param unit time unit to truncate to.
/// For Parquet versions 1.0 and 2.4, nanoseconds are casted to microseconds.
Builder* coerce_timestamps(::arrow::TimeUnit::type unit) {
coerce_timestamps_enabled_ = true;
coerce_timestamps_unit_ = unit;
return this;
}
/// \brief Allow loss of data when truncating timestamps.
///
/// This is disallowed by default and an error will be returned.
Builder* allow_truncated_timestamps() {
truncated_timestamps_allowed_ = true;
return this;
}
/// \brief Disallow loss of data when truncating timestamps (default).
Builder* disallow_truncated_timestamps() {
truncated_timestamps_allowed_ = false;
return this;
}
/// \brief EXPERIMENTAL: Write binary serialized Arrow schema to the file,
/// to enable certain read options (like "read_dictionary") to be set
/// automatically
Builder* store_schema() {
store_schema_ = true;
return this;
}
/// \brief When enabled, will not preserve Arrow field names for list types.
///
/// Instead of using the field names Arrow uses for the values array of
/// list types (default "item"), will use "element", as is specified in
/// the Parquet spec.
///
/// This is enabled by default.
Builder* enable_compliant_nested_types() {
compliant_nested_types_ = true;
return this;
}
/// Preserve Arrow list field name.
Builder* disable_compliant_nested_types() {
compliant_nested_types_ = false;
return this;
}
/// Set the version of the Parquet writer engine.
Builder* set_engine_version(EngineVersion version) {
engine_version_ = version;
return this;
}
/// \brief Set whether to use multiple threads to write columns
/// in parallel in the buffered row group mode.
///
/// WARNING: If writing multiple files in parallel in the same
/// executor, deadlock may occur if use_threads is true. Please
/// disable it in this case.
///
/// Default is false.
Builder* set_use_threads(bool use_threads) {
use_threads_ = use_threads;
return this;
}
/// \brief Set the executor to write columns in parallel in the
/// buffered row group mode.
///
/// Default is nullptr and the default cpu executor will be used.
Builder* set_executor(::arrow::internal::Executor* executor) {
executor_ = executor;
return this;
}
/// Create the final properties.
std::shared_ptr<ArrowWriterProperties> build() {
return std::shared_ptr<ArrowWriterProperties>(new ArrowWriterProperties(
write_timestamps_as_int96_, coerce_timestamps_enabled_, coerce_timestamps_unit_,
truncated_timestamps_allowed_, store_schema_, compliant_nested_types_,
engine_version_, use_threads_, executor_));
}
private:
bool write_timestamps_as_int96_;
bool coerce_timestamps_enabled_;
::arrow::TimeUnit::type coerce_timestamps_unit_;
bool truncated_timestamps_allowed_;
bool store_schema_;
bool compliant_nested_types_;
EngineVersion engine_version_;
bool use_threads_;
::arrow::internal::Executor* executor_;
};
bool support_deprecated_int96_timestamps() const { return write_timestamps_as_int96_; }
bool coerce_timestamps_enabled() const { return coerce_timestamps_enabled_; }
::arrow::TimeUnit::type coerce_timestamps_unit() const {
return coerce_timestamps_unit_;
}
bool truncated_timestamps_allowed() const { return truncated_timestamps_allowed_; }
bool store_schema() const { return store_schema_; }
/// \brief Enable nested type naming according to the parquet specification.
///
/// Older versions of arrow wrote out field names for nested lists based on the name
/// of the field. According to the parquet specification they should always be
/// "element".
bool compliant_nested_types() const { return compliant_nested_types_; }
/// \brief The underlying engine version to use when writing Arrow data.
///
/// V2 is currently the latest V1 is considered deprecated but left in
/// place in case there are bugs detected in V2.
EngineVersion engine_version() const { return engine_version_; }
/// \brief Returns whether the writer will use multiple threads
/// to write columns in parallel in the buffered row group mode.
bool use_threads() const { return use_threads_; }
/// \brief Returns the executor used to write columns in parallel.
::arrow::internal::Executor* executor() const;
private:
explicit ArrowWriterProperties(bool write_nanos_as_int96,
bool coerce_timestamps_enabled,
::arrow::TimeUnit::type coerce_timestamps_unit,
bool truncated_timestamps_allowed, bool store_schema,
bool compliant_nested_types,
EngineVersion engine_version, bool use_threads,
::arrow::internal::Executor* executor)
: write_timestamps_as_int96_(write_nanos_as_int96),
coerce_timestamps_enabled_(coerce_timestamps_enabled),
coerce_timestamps_unit_(coerce_timestamps_unit),
truncated_timestamps_allowed_(truncated_timestamps_allowed),
store_schema_(store_schema),
compliant_nested_types_(compliant_nested_types),
engine_version_(engine_version),
use_threads_(use_threads),
executor_(executor) {}
const bool write_timestamps_as_int96_;
const bool coerce_timestamps_enabled_;
const ::arrow::TimeUnit::type coerce_timestamps_unit_;
const bool truncated_timestamps_allowed_;
const bool store_schema_;
const bool compliant_nested_types_;
const EngineVersion engine_version_;
const bool use_threads_;
::arrow::internal::Executor* executor_;
};
/// \brief State object used for writing Arrow data directly to a Parquet
/// column chunk. API possibly not stable
struct ArrowWriteContext {
ArrowWriteContext(MemoryPool* memory_pool, ArrowWriterProperties* properties)
: memory_pool(memory_pool),
properties(properties),
data_buffer(AllocateBuffer(memory_pool)),
def_levels_buffer(AllocateBuffer(memory_pool)) {}
template <typename T>
::arrow::Status GetScratchData(const int64_t num_values, T** out) {
ARROW_RETURN_NOT_OK(this->data_buffer->Resize(num_values * sizeof(T), false));
*out = reinterpret_cast<T*>(this->data_buffer->mutable_data());
return ::arrow::Status::OK();
}
MemoryPool* memory_pool;
const ArrowWriterProperties* properties;
// Buffer used for storing the data of an array converted to the physical type
// as expected by parquet-cpp.
std::shared_ptr<ResizableBuffer> data_buffer;
// We use the shared ownership of this buffer
std::shared_ptr<ResizableBuffer> def_levels_buffer;
};
PARQUET_EXPORT
std::shared_ptr<ArrowWriterProperties> default_arrow_writer_properties();
} // namespace parquet
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