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195 lines
6.0 KiB
C++
195 lines
6.0 KiB
C++
#pragma once
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#include <queue>
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#include <boost/smart_ptr/intrusive_ptr.hpp>
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#include <common/logger_useful.h>
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#include <Common/SharedBlockRowRef.h>
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#include <Core/Row.h>
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#include <Core/SortDescription.h>
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#include <Core/SortCursor.h>
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#include <IO/WriteHelpers.h>
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#include <DataStreams/IBlockInputStream.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 CORRUPTED_DATA;
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}
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/** Merges several sorted streams into one sorted stream.
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*/
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class MergingSortedBlockInputStream : public IBlockInputStream
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{
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public:
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/** limit - if isn't 0, then we can produce only first limit rows in sorted order.
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* out_row_sources - if isn't nullptr, then at the end of execution it should contain part numbers of each readed row (and needed flag)
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* quiet - don't log profiling info
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*/
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MergingSortedBlockInputStream(
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const BlockInputStreams & inputs_, const SortDescription & description_, size_t max_block_size_,
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UInt64 limit_ = 0, WriteBuffer * out_row_sources_buf_ = nullptr, bool quiet_ = false, bool average_block_sizes_ = false);
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String getName() const override { return "MergingSorted"; }
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bool isSortedOutput() const override { return true; }
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const SortDescription & getSortDescription() const override { return description; }
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Block getHeader() const override { return header; }
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protected:
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/// Simple class, which allows to check stop condition during merge process
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/// in simple case it just compare amount of merged rows with max_block_size
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/// in `count_average` case it compares amount of merged rows with linear combination
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/// of block sizes from which these rows were taken.
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struct MergeStopCondition
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{
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size_t sum_blocks_granularity = 0;
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size_t sum_rows_count = 0;
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bool count_average;
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size_t max_block_size;
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MergeStopCondition(bool count_average_, size_t max_block_size_)
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: count_average(count_average_)
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, max_block_size(max_block_size_)
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{}
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/// add single row from block size `granularity`
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void addRowWithGranularity(size_t granularity)
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{
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sum_blocks_granularity += granularity;
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sum_rows_count++;
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}
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/// check that sum_rows_count is enough
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bool checkStop() const;
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bool empty() const
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{
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return sum_blocks_granularity == 0;
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}
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};
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Block readImpl() override;
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void readSuffixImpl() override;
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/// Initializes the queue and the columns of next result block.
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void init(MutableColumns & merged_columns);
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/// Gets the next block from the source corresponding to the `current`.
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template <typename TSortCursor>
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void fetchNextBlock(const TSortCursor & current, std::priority_queue<TSortCursor> & queue);
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Block header;
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const SortDescription description;
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const size_t max_block_size;
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UInt64 limit;
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UInt64 total_merged_rows = 0;
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bool first = true;
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bool has_collation = false;
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bool quiet = false;
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bool average_block_sizes = false;
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/// May be smaller or equal to max_block_size. To do 'reserve' for columns.
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size_t expected_block_size = 0;
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/// Blocks currently being merged.
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size_t num_columns = 0;
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std::vector<SharedBlockPtr> source_blocks;
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using CursorImpls = std::vector<SortCursorImpl>;
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CursorImpls cursors;
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using Queue = std::priority_queue<SortCursor>;
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Queue queue_without_collation;
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using QueueWithCollation = std::priority_queue<SortCursorWithCollation>;
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QueueWithCollation queue_with_collation;
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/// Used in Vertical merge algorithm to gather non-PK/non-index columns (on next step)
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/// If it is not nullptr then it should be populated during execution
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WriteBuffer * out_row_sources_buf;
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/// These methods are used in Collapsing/Summing/Aggregating... SortedBlockInputStream-s.
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/// Save the row pointed to by cursor in `row`.
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template <typename TSortCursor>
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void setRow(Row & row, TSortCursor & cursor)
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{
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for (size_t i = 0; i < num_columns; ++i)
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{
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try
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{
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cursor->all_columns[i]->get(cursor->pos, row[i]);
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}
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catch (...)
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{
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tryLogCurrentException(__PRETTY_FUNCTION__);
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/// Find out the name of the column and throw more informative exception.
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String column_name;
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for (const auto & block : source_blocks)
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{
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if (i < block->columns())
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{
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column_name = block->safeGetByPosition(i).name;
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break;
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}
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}
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throw Exception("MergingSortedBlockInputStream failed to read row " + toString(cursor->pos)
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+ " of column " + toString(i) + (column_name.empty() ? "" : " (" + column_name + ")"),
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ErrorCodes::CORRUPTED_DATA);
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}
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}
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}
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template <typename TSortCursor>
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void setRowRef(SharedBlockRowRef & row_ref, TSortCursor & cursor)
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{
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row_ref.row_num = cursor.impl->pos;
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row_ref.shared_block = source_blocks[cursor.impl->order];
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row_ref.columns = &row_ref.shared_block->all_columns;
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}
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template <typename TSortCursor>
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void setPrimaryKeyRef(SharedBlockRowRef & row_ref, TSortCursor & cursor)
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{
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row_ref.row_num = cursor.impl->pos;
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row_ref.shared_block = source_blocks[cursor.impl->order];
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row_ref.columns = &row_ref.shared_block->sort_columns;
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}
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private:
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/** We support two different cursors - with Collation and without.
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* Templates are used instead of polymorphic SortCursor and calls to virtual functions.
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*/
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template <typename TSortCursor>
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void initQueue(std::priority_queue<TSortCursor> & queue);
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template <typename TSortCursor>
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void merge(MutableColumns & merged_columns, std::priority_queue<TSortCursor> & queue);
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Logger * log = &Logger::get("MergingSortedBlockInputStream");
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/// Read is finished.
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bool finished = false;
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};
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}
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