| /* |
| * 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 "paimon/core/operation/abstract_split_read.h" |
| |
| #include <cassert> |
| #include <cstddef> |
| #include <utility> |
| |
| #include "arrow/type.h" |
| #include "paimon/common/reader/delegating_prefetch_reader.h" |
| #include "paimon/common/reader/predicate_batch_reader.h" |
| #include "paimon/common/reader/prefetch_file_batch_reader_impl.h" |
| #include "paimon/common/table/special_fields.h" |
| #include "paimon/common/types/data_field.h" |
| #include "paimon/common/utils/object_utils.h" |
| #include "paimon/core/io/complete_row_tracking_fields_reader.h" |
| #include "paimon/core/io/data_file_meta.h" |
| #include "paimon/core/io/data_file_path_factory.h" |
| #include "paimon/core/io/field_mapping_reader.h" |
| #include "paimon/core/operation/internal_read_context.h" |
| #include "paimon/core/partition/partition_info.h" |
| #include "paimon/core/schema/table_schema.h" |
| #include "paimon/core/table/source/data_split_impl.h" |
| #include "paimon/core/utils/field_mapping.h" |
| #include "paimon/format/file_format.h" |
| #include "paimon/format/file_format_factory.h" |
| #include "paimon/fs/file_system.h" |
| #include "paimon/status.h" |
| |
| namespace paimon { |
| class BinaryRow; |
| class Executor; |
| class FileStorePathFactory; |
| class MemoryPool; |
| class Predicate; |
| |
| AbstractSplitRead::AbstractSplitRead(const std::shared_ptr<FileStorePathFactory>& path_factory, |
| const std::shared_ptr<InternalReadContext>& context, |
| std::unique_ptr<SchemaManager>&& schema_manager, |
| const std::shared_ptr<MemoryPool>& memory_pool, |
| const std::shared_ptr<Executor>& executor) |
| : pool_(memory_pool), |
| executor_(executor), |
| path_factory_(path_factory), |
| options_(context->GetCoreOptions()), |
| raw_read_schema_(context->GetReadSchema()), |
| context_(context), |
| schema_manager_(std::move(schema_manager)) {} |
| |
| Result<std::vector<std::unique_ptr<FileBatchReader>>> AbstractSplitRead::CreateRawFileReaders( |
| const BinaryRow& partition, const std::vector<std::shared_ptr<DataFileMeta>>& data_files, |
| const std::shared_ptr<arrow::Schema>& read_schema, const std::shared_ptr<Predicate>& predicate, |
| DeletionVector::Factory dv_factory, const std::optional<std::vector<Range>>& row_ranges, |
| const std::shared_ptr<DataFilePathFactory>& data_file_path_factory) const { |
| if (data_files.empty()) { |
| return std::vector<std::unique_ptr<FileBatchReader>>(); |
| } |
| PAIMON_ASSIGN_OR_RAISE( |
| std::unique_ptr<FieldMappingBuilder> field_mapping_builder, |
| FieldMappingBuilder::Create(read_schema, context_->GetPartitionKeys(), predicate)); |
| |
| std::vector<std::unique_ptr<FileBatchReader>> raw_file_readers; |
| raw_file_readers.reserve(data_files.size()); |
| for (const auto& file : data_files) { |
| auto data_file_path = data_file_path_factory->ToPath(file); |
| PAIMON_ASSIGN_OR_RAISE(std::string data_file_identifier, file->FileFormat()); |
| PAIMON_ASSIGN_OR_RAISE(std::unique_ptr<ReaderBuilder> reader_builder, |
| PrepareReaderBuilder(data_file_identifier)); |
| PAIMON_ASSIGN_OR_RAISE( |
| std::unique_ptr<FileBatchReader> file_reader, |
| CreateFieldMappingReader(data_file_path, file, partition, reader_builder.get(), |
| field_mapping_builder.get(), dv_factory, row_ranges, |
| data_file_path_factory)); |
| if (file_reader) { |
| raw_file_readers.push_back(std::move(file_reader)); |
| } |
| } |
| return std::move(raw_file_readers); |
| } |
| |
| bool AbstractSplitRead::NeedCompleteRowTrackingFields( |
| bool row_tracking_enabled, const std::shared_ptr<arrow::Schema>& read_schema) { |
| if (row_tracking_enabled && |
| (read_schema->GetFieldIndex(SpecialFields::RowId().Name()) != -1 || |
| read_schema->GetFieldIndex(SpecialFields::SequenceNumber().Name()) != -1)) { |
| return true; |
| } |
| return false; |
| } |
| |
| std::unordered_map<std::string, DeletionFile> AbstractSplitRead::CreateDeletionFileMap( |
| const DataSplitImpl& data_split) { |
| return CreateDeletionFileMap(data_split.DataFiles(), data_split.DeletionFiles()); |
| } |
| |
| std::unordered_map<std::string, DeletionFile> AbstractSplitRead::CreateDeletionFileMap( |
| const std::vector<std::shared_ptr<DataFileMeta>>& data_files, |
| const std::vector<std::optional<DeletionFile>>& deletion_files) { |
| std::unordered_map<std::string, DeletionFile> deletion_file_map; |
| if (deletion_files.empty()) { |
| return deletion_file_map; |
| } |
| assert(deletion_files.size() == data_files.size()); |
| size_t file_count = deletion_files.size(); |
| for (size_t i = 0; i < file_count; i++) { |
| if (deletion_files[i] != std::nullopt) { |
| deletion_file_map.emplace(data_files[i]->file_name, deletion_files[i].value()); |
| } |
| } |
| return deletion_file_map; |
| } |
| |
| Result<std::unique_ptr<BatchReader>> AbstractSplitRead::ApplyPredicateFilterIfNeeded( |
| std::unique_ptr<BatchReader>&& reader, const std::shared_ptr<Predicate>& predicate) const { |
| if (!context_->EnablePredicateFilter() || predicate == nullptr) { |
| return std::move(reader); |
| } |
| return PredicateBatchReader::Create(std::move(reader), predicate, pool_); |
| } |
| |
| Result<std::unique_ptr<ReaderBuilder>> AbstractSplitRead::PrepareReaderBuilder( |
| const std::string& format_identifier) const { |
| PAIMON_ASSIGN_OR_RAISE(std::unique_ptr<FileFormat> file_format, |
| FileFormatFactory::Get(format_identifier, options_.ToMap())); |
| PAIMON_ASSIGN_OR_RAISE(std::unique_ptr<ReaderBuilder> reader_builder, |
| file_format->CreateReaderBuilder(options_.GetReadBatchSize())); |
| reader_builder->WithMemoryPool(pool_); |
| return reader_builder; |
| } |
| |
| Result<std::unique_ptr<FileBatchReader>> AbstractSplitRead::CreateFileBatchReader( |
| const std::shared_ptr<DataFileMeta>& file_meta, const std::string& data_file_path, |
| const ReaderBuilder* reader_builder) const { |
| PAIMON_ASSIGN_OR_RAISE(std::string file_format_identifier, file_meta->FileFormat()); |
| if (context_->EnablePrefetch() && file_format_identifier != "blob" && |
| file_format_identifier != "avro") { |
| PAIMON_ASSIGN_OR_RAISE( |
| std::unique_ptr<PrefetchFileBatchReaderImpl> prefetch_reader, |
| PrefetchFileBatchReaderImpl::Create( |
| data_file_path, reader_builder, options_.GetFileSystem(), |
| context_->GetPrefetchMaxParallelNum(), options_.GetReadBatchSize(), |
| context_->GetPrefetchBatchCount(), options_.EnableAdaptivePrefetchStrategy(), |
| executor_, |
| /*initialize_read_ranges=*/false, context_->GetPrefetchCacheMode(), |
| context_->GetCacheConfig(), pool_)); |
| return std::make_unique<DelegatingPrefetchReader>(std::move(prefetch_reader)); |
| } else { |
| PAIMON_ASSIGN_OR_RAISE(std::shared_ptr<InputStream> input_stream, |
| options_.GetFileSystem()->Open(data_file_path)); |
| return reader_builder->Build(input_stream); |
| } |
| } |
| |
| Result<std::unique_ptr<FileBatchReader>> AbstractSplitRead::CreateFieldMappingReader( |
| const std::string& data_file_path, const std::shared_ptr<DataFileMeta>& file_meta, |
| const BinaryRow& partition, const ReaderBuilder* reader_builder, |
| const FieldMappingBuilder* field_mapping_builder, DeletionVector::Factory dv_factory, |
| const std::optional<std::vector<Range>>& row_ranges, |
| const std::shared_ptr<DataFilePathFactory>& data_file_path_factory) const { |
| std::shared_ptr<TableSchema> data_schema; |
| if (file_meta->schema_id == context_->GetTableSchema()->Id()) { |
| data_schema = context_->GetTableSchema(); |
| } else { |
| // load schema to get data schema |
| PAIMON_ASSIGN_OR_RAISE(data_schema, schema_manager_->ReadSchema(file_meta->schema_id)); |
| } |
| std::unique_ptr<FieldMapping> field_mapping; |
| if (!data_schema->PrimaryKeys().empty()) { |
| // for pk table, add special fields to file schema when field mapping |
| std::vector<DataField> file_fields = {SpecialFields::SequenceNumber(), |
| SpecialFields::ValueKind()}; |
| file_fields.insert(file_fields.end(), data_schema->Fields().begin(), |
| data_schema->Fields().end()); |
| PAIMON_ASSIGN_OR_RAISE(field_mapping, |
| field_mapping_builder->CreateFieldMapping(file_fields)); |
| } else { |
| PAIMON_ASSIGN_OR_RAISE( |
| std::vector<DataField> projected_data_fields, |
| ProjectFieldsForRowTrackingAndDataEvolution(data_schema, file_meta->write_cols)); |
| PAIMON_ASSIGN_OR_RAISE(field_mapping, |
| field_mapping_builder->CreateFieldMapping(projected_data_fields)); |
| } |
| |
| auto read_schema = DataField::ConvertDataFieldsToArrowSchema( |
| field_mapping->non_partition_info.non_partition_data_schema); |
| |
| PAIMON_ASSIGN_OR_RAISE(std::unique_ptr<FileBatchReader> file_reader, |
| CreateFileBatchReader(file_meta, data_file_path, reader_builder)); |
| if (NeedCompleteRowTrackingFields(options_.RowTrackingEnabled(), read_schema)) { |
| file_reader = std::make_unique<CompleteRowTrackingFieldsBatchReader>( |
| std::move(file_reader), file_meta->first_row_id, file_meta->max_sequence_number, pool_); |
| } |
| |
| const auto& predicate = field_mapping->non_partition_info.non_partition_filter; |
| auto all_data_schema = DataField::ConvertDataFieldsToArrowSchema(data_schema->Fields()); |
| PAIMON_ASSIGN_OR_RAISE(std::unique_ptr<FileBatchReader> final_reader, |
| ApplyIndexAndDvReaderIfNeeded( |
| std::move(file_reader), file_meta, all_data_schema, read_schema, |
| predicate, dv_factory, row_ranges, data_file_path_factory)); |
| if (!final_reader) { |
| // file is skipped by index or dv |
| return std::unique_ptr<FileBatchReader>(); |
| } |
| |
| return std::make_unique<FieldMappingReader>(field_mapping_builder->GetReadFieldCount(), |
| std::move(final_reader), partition, |
| std::move(field_mapping), pool_); |
| } |
| |
| Result<std::vector<DataField>> AbstractSplitRead::ProjectFieldsForRowTrackingAndDataEvolution( |
| const std::shared_ptr<TableSchema>& data_schema, |
| const std::optional<std::vector<std::string>>& write_cols) { |
| std::vector<DataField> projected_fields; |
| const std::vector<std::string>& partition_keys = data_schema->PartitionKeys(); |
| if (write_cols == std::nullopt) { |
| projected_fields = data_schema->Fields(); |
| } else { |
| if (write_cols.value().empty()) { |
| return Status::Invalid("write cols cannot be empty"); |
| } |
| for (const auto& write_col : write_cols.value()) { |
| if (write_col == SpecialFields::RowId().Name() || |
| write_col == SpecialFields::SequenceNumber().Name()) { |
| continue; |
| } |
| PAIMON_ASSIGN_OR_RAISE(DataField field, data_schema->GetField(write_col)); |
| projected_fields.push_back(field); |
| } |
| for (const auto& partition_key : partition_keys) { |
| if (!ObjectUtils::Contains(write_cols.value(), partition_key)) { |
| PAIMON_ASSIGN_OR_RAISE(DataField partition_field, |
| data_schema->GetField(partition_key)); |
| projected_fields.push_back(partition_field); |
| } |
| } |
| } |
| |
| projected_fields.push_back(SpecialFields::RowId()); |
| projected_fields.push_back(SpecialFields::SequenceNumber()); |
| return projected_fields; |
| } |
| |
| } // namespace paimon |