ClickHouse/dbms/src/Storages/MergeTree/MergeTreeBaseBlockInputStream.cpp
Marek Vavruša 2ac5a743cc dbms: fix build with OS X built-in clang
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
```
2017-10-13 18:12:29 -07:00

514 lines
22 KiB
C++

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