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97f2a2213e
* Move some code outside dbms/src folder * Fix paths
174 lines
6.2 KiB
C++
174 lines
6.2 KiB
C++
#include <Storages/MergeTree/MergedBlockOutputStream.h>
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#include <Poco/File.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int NOT_IMPLEMENTED;
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extern const int LOGICAL_ERROR;
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}
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MergedBlockOutputStream::MergedBlockOutputStream(
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const MergeTreeDataPartPtr & data_part,
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const NamesAndTypesList & columns_list_,
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CompressionCodecPtr default_codec,
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bool blocks_are_granules_size)
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: MergedBlockOutputStream(
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data_part, columns_list_, default_codec, {},
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data_part->storage.global_context.getSettings().min_bytes_to_use_direct_io,
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blocks_are_granules_size)
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{
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}
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MergedBlockOutputStream::MergedBlockOutputStream(
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const MergeTreeDataPartPtr & data_part,
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const NamesAndTypesList & columns_list_,
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CompressionCodecPtr default_codec,
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const MergeTreeData::DataPart::ColumnToSize & merged_column_to_size,
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size_t aio_threshold,
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bool blocks_are_granules_size)
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: IMergedBlockOutputStream(data_part)
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, columns_list(columns_list_)
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{
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MergeTreeWriterSettings writer_settings(data_part->storage.global_context.getSettings(),
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data_part->storage.canUseAdaptiveGranularity(), aio_threshold, blocks_are_granules_size);
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if (aio_threshold > 0 && !merged_column_to_size.empty())
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{
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for (const auto & column : columns_list)
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{
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auto size_it = merged_column_to_size.find(column.name);
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if (size_it != merged_column_to_size.end())
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writer_settings.estimated_size += size_it->second;
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}
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}
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disk->createDirectories(part_path);
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writer = data_part->getWriter(columns_list, data_part->storage.getSkipIndices(), default_codec, writer_settings);
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writer->initPrimaryIndex();
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writer->initSkipIndices();
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}
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/// If data is pre-sorted.
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void MergedBlockOutputStream::write(const Block & block)
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{
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writeImpl(block, nullptr);
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}
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/** If the data is not sorted, but we pre-calculated the permutation, after which they will be sorted.
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* This method is used to save RAM, since you do not need to keep two blocks at once - the source and the sorted.
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*/
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void MergedBlockOutputStream::writeWithPermutation(const Block & block, const IColumn::Permutation * permutation)
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{
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writeImpl(block, permutation);
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}
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void MergedBlockOutputStream::writeSuffix()
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{
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throw Exception("Method writeSuffix is not supported by MergedBlockOutputStream", ErrorCodes::NOT_IMPLEMENTED);
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}
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void MergedBlockOutputStream::writeSuffixAndFinalizePart(
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MergeTreeData::MutableDataPartPtr & new_part,
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const NamesAndTypesList * total_columns_list,
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MergeTreeData::DataPart::Checksums * additional_column_checksums)
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{
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/// Finish write and get checksums.
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MergeTreeData::DataPart::Checksums checksums;
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if (additional_column_checksums)
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checksums = std::move(*additional_column_checksums);
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/// Finish columns serialization.
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writer->finishDataSerialization(checksums);
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writer->finishPrimaryIndexSerialization(checksums);
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writer->finishSkipIndicesSerialization(checksums);
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NamesAndTypesList part_columns;
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if (!total_columns_list)
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part_columns = columns_list;
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else
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part_columns = *total_columns_list;
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if (storage.format_version >= MERGE_TREE_DATA_MIN_FORMAT_VERSION_WITH_CUSTOM_PARTITIONING || isCompactPart(new_part))
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{
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new_part->partition.store(storage, disk, part_path, checksums);
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if (new_part->minmax_idx.initialized)
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new_part->minmax_idx.store(storage, disk, part_path, checksums);
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else if (rows_count)
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throw Exception("MinMax index was not initialized for new non-empty part " + new_part->name
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+ ". It is a bug.", ErrorCodes::LOGICAL_ERROR);
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auto count_out = disk->writeFile(part_path + "count.txt", 4096);
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HashingWriteBuffer count_out_hashing(*count_out);
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writeIntText(rows_count, count_out_hashing);
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count_out_hashing.next();
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checksums.files["count.txt"].file_size = count_out_hashing.count();
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checksums.files["count.txt"].file_hash = count_out_hashing.getHash();
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}
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if (!new_part->ttl_infos.empty())
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{
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/// Write a file with ttl infos in json format.
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auto out = disk->writeFile(part_path + "ttl.txt", 4096);
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HashingWriteBuffer out_hashing(*out);
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new_part->ttl_infos.write(out_hashing);
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checksums.files["ttl.txt"].file_size = out_hashing.count();
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checksums.files["ttl.txt"].file_hash = out_hashing.getHash();
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}
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removeEmptyColumnsFromPart(new_part, part_columns, checksums);
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{
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/// Write a file with a description of columns.
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auto out = disk->writeFile(part_path + "columns.txt", 4096);
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part_columns.writeText(*out);
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}
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{
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/// Write file with checksums.
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auto out = disk->writeFile(part_path + "checksums.txt", 4096);
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checksums.write(*out);
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}
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new_part->setColumns(part_columns);
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new_part->rows_count = rows_count;
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new_part->modification_time = time(nullptr);
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new_part->index = writer->releaseIndexColumns();
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new_part->checksums = checksums;
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new_part->setBytesOnDisk(checksums.getTotalSizeOnDisk());
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new_part->index_granularity = writer->getIndexGranularity();
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new_part->calculateColumnsSizesOnDisk();
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}
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void MergedBlockOutputStream::writeImpl(const Block & block, const IColumn::Permutation * permutation)
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{
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block.checkNumberOfRows();
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size_t rows = block.rows();
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if (!rows)
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return;
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std::unordered_set<String> skip_indexes_column_names_set;
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for (const auto & index : storage.skip_indices)
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std::copy(index->columns.cbegin(), index->columns.cend(),
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std::inserter(skip_indexes_column_names_set, skip_indexes_column_names_set.end()));
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Names skip_indexes_column_names(skip_indexes_column_names_set.begin(), skip_indexes_column_names_set.end());
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Block primary_key_block = getBlockAndPermute(block, storage.primary_key_columns, permutation);
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Block skip_indexes_block = getBlockAndPermute(block, skip_indexes_column_names, permutation);
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writer->write(block, permutation, primary_key_block, skip_indexes_block);
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writer->calculateAndSerializeSkipIndices(skip_indexes_block, rows);
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writer->calculateAndSerializePrimaryIndex(primary_key_block, rows);
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writer->next();
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rows_count += rows;
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}
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}
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