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2ac5a743cc
The built-in clang doesn’t support value() for `std::experimental::optional`. It however supports dereference operator, which is basically the same thing: ``` /clickhouse/dbms/src/DataStreams/NullableAdapterBlockInputStream.cpp:83:67: error: call to unavailable member function 'value': res.insert({elem.column, elem.type, rename[i].value()}); ~~~~~~~~~~^~~~~ /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/include/c++/v1/experimental/optional:547:17: note: candidate function has been explicitly made unavailable value_type& value() ^ /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/include/c++/v1/experimental/optional:539:33: note: candidate function has been explicitly made unavailable constexpr value_type const& value() const ```
514 lines
22 KiB
C++
514 lines
22 KiB
C++
#include "MergeTreeBaseBlockInputStream.h"
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#include <Storages/MergeTree/MergeTreeReader.h>
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#include <Storages/MergeTree/MergeTreeBlockReadUtils.h>
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#include <Columns/ColumnConst.h>
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#include <Columns/ColumnArray.h>
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#include <Common/typeid_cast.h>
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#include <ext/range.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 ILLEGAL_TYPE_OF_COLUMN_FOR_FILTER;
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extern const int LOGICAL_ERROR;
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}
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MergeTreeBaseBlockInputStream::MergeTreeBaseBlockInputStream(
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MergeTreeData & storage,
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const ExpressionActionsPtr & prewhere_actions,
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const String & prewhere_column,
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size_t max_block_size_rows,
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size_t preferred_block_size_bytes,
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size_t preferred_max_column_in_block_size_bytes,
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size_t min_bytes_to_use_direct_io,
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size_t max_read_buffer_size,
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bool use_uncompressed_cache,
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bool save_marks_in_cache,
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const Names & virt_column_names)
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:
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storage(storage),
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prewhere_actions(prewhere_actions),
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prewhere_column(prewhere_column),
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max_block_size_rows(max_block_size_rows),
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preferred_block_size_bytes(preferred_block_size_bytes),
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preferred_max_column_in_block_size_bytes(preferred_max_column_in_block_size_bytes),
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min_bytes_to_use_direct_io(min_bytes_to_use_direct_io),
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max_read_buffer_size(max_read_buffer_size),
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use_uncompressed_cache(use_uncompressed_cache),
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save_marks_in_cache(save_marks_in_cache),
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virt_column_names(virt_column_names),
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max_block_size_marks(max_block_size_rows / storage.index_granularity)
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{
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}
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Block MergeTreeBaseBlockInputStream::readImpl()
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{
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Block res;
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while (!res && !isCancelled())
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{
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if (!task && !getNewTask())
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break;
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res = readFromPart();
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if (res)
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injectVirtualColumns(res);
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if (task->isFinished())
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task.reset();
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}
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return res;
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}
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Block MergeTreeBaseBlockInputStream::readFromPart()
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{
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Block res;
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if (task->size_predictor)
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task->size_predictor->startBlock();
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const auto max_block_size_rows = this->max_block_size_rows;
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const auto preferred_block_size_bytes = this->preferred_block_size_bytes;
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const auto preferred_max_column_in_block_size_bytes = this->preferred_max_column_in_block_size_bytes;
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const auto index_granularity = storage.index_granularity;
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const double min_filtration_ratio = 0.00001;
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auto estimateNumRows = [preferred_block_size_bytes, max_block_size_rows,
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index_granularity, preferred_max_column_in_block_size_bytes, min_filtration_ratio](
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MergeTreeReadTask & task, MergeTreeRangeReader & reader)
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{
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if (!task.size_predictor)
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return max_block_size_rows;
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/// Calculates number of rows will be read using preferred_block_size_bytes.
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/// Can't be less than index_granularity.
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size_t rows_to_read = task.size_predictor->estimateNumRows(preferred_block_size_bytes);
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if (!rows_to_read)
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return rows_to_read;
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rows_to_read = std::max(index_granularity, rows_to_read);
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if (preferred_max_column_in_block_size_bytes)
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{
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/// Calculates number of rows will be read using preferred_max_column_in_block_size_bytes.
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size_t rows_to_read_for_max_size_column
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= task.size_predictor->estimateNumRowsForMaxSizeColumn(preferred_max_column_in_block_size_bytes);
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double filtration_ratio = std::max(min_filtration_ratio, 1.0 - task.size_predictor->filtered_rows_ratio);
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size_t rows_to_read_for_max_size_column_with_filtration
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= static_cast<size_t>(rows_to_read_for_max_size_column / filtration_ratio);
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/// If preferred_max_column_in_block_size_bytes is used, number of rows to read can be less than index_granularity.
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rows_to_read = std::min(rows_to_read, rows_to_read_for_max_size_column_with_filtration);
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}
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size_t unread_rows_in_current_granule = reader.unreadRowsInCurrentGranule();
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if (unread_rows_in_current_granule >= rows_to_read)
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return rows_to_read;
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size_t granule_to_read = (rows_to_read + reader.readRowsInCurrentGranule() + index_granularity / 2) / index_granularity;
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return index_granularity * granule_to_read - reader.readRowsInCurrentGranule();
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};
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// read rows from reader and clear columns
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auto skipRows = [&estimateNumRows](
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Block & block, MergeTreeRangeReader & reader, MergeTreeReadTask & task, size_t rows)
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{
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size_t recommended_rows = rows;
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if (task.size_predictor)
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recommended_rows = std::max<size_t>(1, estimateNumRows(task, reader));
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while (rows)
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{
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size_t rows_to_skip = std::min(rows, recommended_rows);
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rows -= rows_to_skip;
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reader.read(block, rows_to_skip);
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for (const auto i : ext::range(0, block.columns()))
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{
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auto & col = block.getByPosition(i);
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if (task.column_name_set.count(col.name))
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{
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if (ColumnArray * column_array = typeid_cast<ColumnArray *>(col.column.get()))
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{
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/// ColumnArray columns in block could have common offset column, which is used while reading.
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/// This is in case of nested data structures.
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/// Have to call resize(0) instead of cloneEmpty to save structure.
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/// (To keep offsets possibly shared between different arrays.)
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column_array->getOffsets().resize(0);
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/// It's ok until multidimensional arrays are not stored in MergeTree.
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column_array->getDataPtr() = column_array->getDataPtr()->cloneEmpty();
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}
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else
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col.column = col.column->cloneEmpty();
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}
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}
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}
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};
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if (prewhere_actions)
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{
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do
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{
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/// Let's read the full block of columns needed to calculate the expression in PREWHERE.
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MarkRanges ranges_to_read;
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/// Last range may be partl read. The same number of rows we need to read after prewhere
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size_t rows_was_read_in_last_range = 0;
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std::experimental::optional<MergeTreeRangeReader> pre_range_reader;
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auto processNextRange = [& ranges_to_read, & rows_was_read_in_last_range, & pre_range_reader](
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MergeTreeReadTask & task, MergeTreeReader & pre_reader)
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{
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auto & range = task.mark_ranges.back();
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pre_range_reader = pre_reader.readRange(range.begin, range.end);
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ranges_to_read.push_back(range);
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rows_was_read_in_last_range = 0;
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task.mark_ranges.pop_back();
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};
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if (task->current_range_reader)
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{
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/// Havn't finihsed reading at last step. Copy state for prewhere columns
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pre_range_reader = task->current_range_reader->copyForReader(*pre_reader);
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if (task->number_of_rows_to_skip)
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{
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/// number_of_rows_to_skip already was read for prewhere columns. skip them.
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pre_range_reader = pre_range_reader->getFutureState(task->number_of_rows_to_skip);
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pre_range_reader->disableNextSeek();
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}
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}
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else
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processNextRange(*task, *pre_reader);
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/// FIXME: size prediction model is updated by filtered rows, but it predicts size of unfiltered rows also
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size_t recommended_rows = estimateNumRows(*task, *pre_range_reader);
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if (res && recommended_rows < 1)
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break;
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size_t space_left = std::max(static_cast<decltype(max_block_size_rows)>(1), std::min(max_block_size_rows, recommended_rows));
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while ((pre_range_reader || !task->mark_ranges.empty()) && space_left && !isCancelled())
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{
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if (!pre_range_reader)
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processNextRange(*task, *pre_reader);
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size_t rows_to_read = std::min(pre_range_reader->unreadRows(), space_left);
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size_t read_rows = pre_range_reader->read(res, rows_to_read);
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rows_was_read_in_last_range += read_rows;
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if (pre_range_reader->isReadingFinished())
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pre_range_reader = std::experimental::nullopt;
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space_left -= read_rows;
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}
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/// In case of isCancelled.
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if (!res)
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{
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task->current_range_reader = std::experimental::nullopt;
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return res;
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}
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progressImpl({ res.rows(), res.bytes() });
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pre_reader->fillMissingColumns(res, task->ordered_names, task->should_reorder);
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/// Compute the expression in PREWHERE.
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prewhere_actions->execute(res);
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ColumnPtr column = res.getByName(prewhere_column).column;
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if (task->remove_prewhere_column)
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res.erase(prewhere_column);
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const auto pre_bytes = res.bytes();
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ColumnPtr observed_column;
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if (column->isNullable())
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{
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ColumnNullable & nullable_col = static_cast<ColumnNullable &>(*column);
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observed_column = nullable_col.getNestedColumn();
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}
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else
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observed_column = column;
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/** If the filter is a constant (for example, it says PREWHERE 1),
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* then either return an empty block, or return the block unchanged.
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*/
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if (observed_column->isConst())
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{
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if (!static_cast<const ColumnConst &>(*observed_column).getValue<UInt8>())
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{
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if (pre_range_reader)
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{
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/// Have to read rows from last partly read granula.
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if (!ranges_to_read.empty())
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{
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auto & range = ranges_to_read.back();
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task->current_range_reader = reader->readRange(range.begin, range.end);
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}
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/// But can just skip them.
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task->number_of_rows_to_skip = rows_was_read_in_last_range;
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}
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else
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task->current_range_reader = std::experimental::nullopt;
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res.clear();
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return res;
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}
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if (task->current_range_reader)
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{
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if (task->number_of_rows_to_skip)
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skipRows(res, *task->current_range_reader, *task, task->number_of_rows_to_skip);
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size_t rows_to_read = ranges_to_read.empty()
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? rows_was_read_in_last_range : task->current_range_reader->unreadRows();
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task->current_range_reader->read(res, rows_to_read);
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}
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for (auto range_idx : ext::range(0, ranges_to_read.size()))
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{
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const auto & range = ranges_to_read[range_idx];
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task->current_range_reader = reader->readRange(range.begin, range.end);
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size_t rows_to_read = range_idx + 1 == ranges_to_read.size()
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? rows_was_read_in_last_range : task->current_range_reader->unreadRows();
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task->current_range_reader->read(res, rows_to_read);
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}
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if (!pre_range_reader)
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task->current_range_reader = std::experimental::nullopt;
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task->number_of_rows_to_skip = 0;
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progressImpl({ 0, res.bytes() - pre_bytes });
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}
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else if (const auto column_vec = typeid_cast<const ColumnUInt8 *>(observed_column.get()))
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{
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const auto & pre_filter = column_vec->getData();
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auto & number_of_rows_to_skip = task->number_of_rows_to_skip;
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if (!task->current_range_reader)
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number_of_rows_to_skip = 0;
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IColumn::Filter post_filter(pre_filter.size());
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/// Let's read the rest of the columns in the required segments and compose our own filter for them.
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size_t pre_filter_pos = 0;
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size_t post_filter_pos = 0;
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size_t next_range_idx = 0;
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while (pre_filter_pos < pre_filter.size())
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{
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if (!task->current_range_reader)
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{
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if (next_range_idx == ranges_to_read.size())
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throw Exception("Not enough ranges to read after prewhere.", ErrorCodes::LOGICAL_ERROR);
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const auto & range = ranges_to_read[next_range_idx++];
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task->current_range_reader = reader->readRange(range.begin, range.end);
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}
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MergeTreeRangeReader & range_reader = *task->current_range_reader;
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size_t current_range_rows_read = 0;
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auto pre_filter_begin_pos = pre_filter_pos;
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/// Now we need to read the same number of rows as in prewhere.
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size_t rows_to_read = next_range_idx == ranges_to_read.size()
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? rows_was_read_in_last_range : (task->current_range_reader->unreadRows() - number_of_rows_to_skip);
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auto readRows = [&]()
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{
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if (pre_filter_pos != pre_filter_begin_pos)
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{
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/// Fulfilling the promise to read (pre_filter_pos - pre_filter_begin_pos) rows
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auto rows = pre_filter_pos - pre_filter_begin_pos;
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memcpy(&post_filter[post_filter_pos], &pre_filter[pre_filter_begin_pos], rows);
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post_filter_pos += rows;
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current_range_rows_read += rows;
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if (number_of_rows_to_skip)
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{
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/** Wasn't able to skip 'number_of_rows_to_skip' with false prewhere conditon
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* Just read them and throw away. */
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skipRows(res, range_reader, *task, number_of_rows_to_skip);
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number_of_rows_to_skip = 0;
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}
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range_reader.read(res, rows);
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}
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};
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/** (pre_filter_pos - pre_filter_begin_pos) here is the number of rows we promies to read, but
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haven't read yet to merge consecutive nonempy granulas. */
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while (current_range_rows_read + (pre_filter_pos - pre_filter_begin_pos) < rows_to_read)
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{
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auto rows_should_be_copied = pre_filter_pos - pre_filter_begin_pos;
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auto range_reader_with_skipped_rows = range_reader.getFutureState(number_of_rows_to_skip + rows_should_be_copied);
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auto unread_rows_in_current_granule = range_reader_with_skipped_rows.unreadRowsInCurrentGranule();
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const size_t limit = std::min(pre_filter.size(), pre_filter_pos + unread_rows_in_current_granule);
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bool will_read_until_mark = unread_rows_in_current_granule == limit - pre_filter_pos;
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UInt8 nonzero = 0;
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for (size_t row = pre_filter_pos; row < limit; ++row)
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nonzero |= pre_filter[row];
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if (!nonzero)
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{
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/// Zero! Prewhere condition is false for all (limit - pre_filter_pos) rows.
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readRows();
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if (will_read_until_mark)
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{
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/// Can skip the rest of granule with false prewhere conditon right now.
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do
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{
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size_t rows_was_skipped = range_reader.skipToNextMark();
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if (number_of_rows_to_skip < rows_was_skipped)
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{
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current_range_rows_read += rows_was_skipped - number_of_rows_to_skip;
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number_of_rows_to_skip = 0;
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}
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else
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number_of_rows_to_skip -= rows_was_skipped;
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}
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while (number_of_rows_to_skip);
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}
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else
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{
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/// Here reading seems to be done. It's still possible to skip rows during next reading.
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number_of_rows_to_skip += limit - pre_filter_pos;
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current_range_rows_read += limit - pre_filter_pos;
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}
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pre_filter_begin_pos = limit;
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}
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pre_filter_pos = limit;
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}
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readRows();
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if (next_range_idx != ranges_to_read.size())
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task->current_range_reader = std::experimental::nullopt;
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}
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if (!pre_range_reader)
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task->current_range_reader = std::experimental::nullopt;
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if (!post_filter_pos)
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{
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if (task->size_predictor)
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task->size_predictor->updateFilteredRowsRation(pre_filter.size(), pre_filter.size());
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res.clear();
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continue;
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}
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progressImpl({ 0, res.bytes() - pre_bytes });
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post_filter.resize(post_filter_pos);
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/// Filter the columns related to PREWHERE using pre_filter,
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/// other columns - using post_filter.
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size_t rows = 0;
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for (const auto i : ext::range(0, res.columns()))
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{
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auto & col = res.safeGetByPosition(i);
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if (col.name == prewhere_column && res.columns() > 1)
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continue;
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col.column =
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col.column->filter(task->column_name_set.count(col.name) ? post_filter : pre_filter, -1);
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rows = col.column->size();
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}
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if (task->size_predictor)
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task->size_predictor->updateFilteredRowsRation(pre_filter.size(), pre_filter.size() - rows);
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/// Replace column with condition value from PREWHERE to a constant.
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if (!task->remove_prewhere_column)
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res.getByName(prewhere_column).column = DataTypeUInt8().createConstColumn(rows, UInt64(1));
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}
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else
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throw Exception{
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"Illegal type " + column->getName() + " of column for filter. Must be ColumnUInt8 or ColumnConstUInt8.",
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ErrorCodes::ILLEGAL_TYPE_OF_COLUMN_FOR_FILTER
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};
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if (res)
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{
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if (task->size_predictor)
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task->size_predictor->update(res);
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reader->fillMissingColumnsAndReorder(res, task->ordered_names);
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}
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}
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while (!task->isFinished() && !res && !isCancelled());
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}
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else
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{
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size_t space_left = std::max(static_cast<decltype(max_block_size_rows)>(1), max_block_size_rows);
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while (!task->isFinished() && space_left && !isCancelled())
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{
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if (!task->current_range_reader)
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{
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auto & range = task->mark_ranges.back();
|
|
task->current_range_reader = reader->readRange(range.begin, range.end);
|
|
task->mark_ranges.pop_back();
|
|
}
|
|
|
|
size_t rows_to_read = space_left;
|
|
size_t recommended_rows = estimateNumRows(*task, *task->current_range_reader);
|
|
if (res && recommended_rows < 1)
|
|
break;
|
|
rows_to_read = std::min(rows_to_read, std::max(static_cast<decltype(recommended_rows)>(1), recommended_rows));
|
|
|
|
size_t rows_was_read = task->current_range_reader->read(res, rows_to_read);
|
|
if (task->current_range_reader->isReadingFinished())
|
|
task->current_range_reader = std::experimental::nullopt;
|
|
|
|
if (res && task->size_predictor)
|
|
{
|
|
task->size_predictor->update(res);
|
|
}
|
|
|
|
space_left -= rows_was_read;
|
|
}
|
|
|
|
/// In the case of isCancelled.
|
|
if (!res)
|
|
return res;
|
|
|
|
progressImpl({ res.rows(), res.bytes() });
|
|
reader->fillMissingColumns(res, task->ordered_names, task->should_reorder);
|
|
}
|
|
|
|
return res;
|
|
}
|
|
|
|
|
|
void MergeTreeBaseBlockInputStream::injectVirtualColumns(Block & block)
|
|
{
|
|
const auto rows = block.rows();
|
|
|
|
/// add virtual columns
|
|
/// Except _sample_factor, which is added from the outside.
|
|
if (!virt_column_names.empty())
|
|
{
|
|
for (const auto & virt_column_name : virt_column_names)
|
|
{
|
|
if (virt_column_name == "_part")
|
|
{
|
|
block.insert(ColumnWithTypeAndName{
|
|
DataTypeString().createConstColumn(rows, task->data_part->name)->convertToFullColumnIfConst(),
|
|
std::make_shared<DataTypeString>(),
|
|
virt_column_name});
|
|
}
|
|
else if (virt_column_name == "_part_index")
|
|
{
|
|
block.insert(ColumnWithTypeAndName{
|
|
DataTypeUInt64().createConstColumn(rows, static_cast<UInt64>(task->part_index_in_query))->convertToFullColumnIfConst(),
|
|
std::make_shared<DataTypeUInt64>(),
|
|
virt_column_name});
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
MergeTreeBaseBlockInputStream::~MergeTreeBaseBlockInputStream() = default;
|
|
|
|
}
|