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#include <Processors/TTL/TTLAggregationAlgorithm.h>
#include <Interpreters/Context.h>
namespace DB
{
TTLAggregationAlgorithm::TTLAggregationAlgorithm(
const TTLDescription & description_,
const TTLInfo & old_ttl_info_,
time_t current_time_,
bool force_,
const Block & header_,
const MergeTreeData & storage_)
: ITTLAlgorithm(description_, old_ttl_info_, current_time_, force_)
, header(header_)
{
current_key_value.resize(description.group_by_keys.size());
const auto & keys = description.group_by_keys;
key_columns.resize(description.group_by_keys.size());
AggregateDescriptions aggregates = description.aggregate_descriptions;
columns_for_aggregator.resize(description.aggregate_descriptions.size());
const Settings & settings = storage_.getContext()->getSettingsRef();
Aggregator::Params params(
keys,
aggregates,
false,
settings.max_rows_to_group_by,
settings.group_by_overflow_mode,
0,
0,
settings.max_bytes_before_external_group_by,
settings.empty_result_for_aggregation_by_empty_set,
storage_.getContext()->getTempDataOnDisk(),
settings.max_threads,
settings.min_free_disk_space_for_temporary_data,
settings.compile_aggregate_expressions,
settings.min_count_to_compile_aggregate_expression,
settings.max_block_size,
settings.enable_software_prefetch_in_aggregation,
false /* only_merge */);
aggregator = std::make_unique<Aggregator>(header, params);
if (isMaxTTLExpired())
new_ttl_info.ttl_finished = true;
}
void TTLAggregationAlgorithm::execute(Block & block)
{
bool some_rows_were_aggregated = false;
MutableColumns result_columns = header.cloneEmptyColumns();
if (!block) /// Empty block -- no more data, but we may still have some accumulated rows
{
if (!aggregation_result.empty()) /// Still have some aggregated data, let's update TTL
{
finalizeAggregates(result_columns);
some_rows_were_aggregated = true;
}
else /// No block, all aggregated, just finish
{
return;
}
}
else
{
const auto & column_names = header.getNames();
MutableColumns aggregate_columns = header.cloneEmptyColumns();
auto ttl_column = executeExpressionAndGetColumn(description.expression, block, description.result_column);
auto where_column = executeExpressionAndGetColumn(description.where_expression, block, description.where_result_column);
size_t rows_aggregated = 0;
size_t current_key_start = 0;
size_t rows_with_current_key = 0;
for (size_t i = 0; i < block.rows(); ++i)
{
UInt32 cur_ttl = getTimestampByIndex(ttl_column.get(), i);
bool where_filter_passed = !where_column || where_column->getBool(i);
bool ttl_expired = isTTLExpired(cur_ttl) && where_filter_passed;
bool same_as_current = true;
for (size_t j = 0; j < description.group_by_keys.size(); ++j)
{
const String & key_column = description.group_by_keys[j];
const IColumn * values_column = block.getByName(key_column).column.get();
if (!same_as_current || (*values_column)[i] != current_key_value[j])
{
values_column->get(i, current_key_value[j]);
same_as_current = false;
}
}
if (!same_as_current)
{
if (rows_with_current_key)
{
some_rows_were_aggregated = true;
calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
}
finalizeAggregates(result_columns);
current_key_start = rows_aggregated;
rows_with_current_key = 0;
}
if (ttl_expired)
{
++rows_with_current_key;
++rows_aggregated;
for (const auto & name : column_names)
{
const IColumn * values_column = block.getByName(name).column.get();
auto & column = aggregate_columns[header.getPositionByName(name)];
column->insertFrom(*values_column, i);
}
}
else
{
for (const auto & name : column_names)
{
const IColumn * values_column = block.getByName(name).column.get();
auto & column = result_columns[header.getPositionByName(name)];
column->insertFrom(*values_column, i);
}
}
}
if (rows_with_current_key)
{
some_rows_were_aggregated = true;
calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
}
}
block = header.cloneWithColumns(std::move(result_columns));
/// If some rows were aggregated we have to recalculate ttl info's
if (some_rows_were_aggregated)
{
auto ttl_column_after_aggregation = executeExpressionAndGetColumn(description.expression, block, description.result_column);
auto where_column_after_aggregation = executeExpressionAndGetColumn(description.where_expression, block, description.where_result_column);
for (size_t i = 0; i < block.rows(); ++i)
{
bool where_filter_passed = !where_column_after_aggregation || where_column_after_aggregation->getBool(i);
if (where_filter_passed)
new_ttl_info.update(getTimestampByIndex(ttl_column_after_aggregation.get(), i));
}
}
}
void TTLAggregationAlgorithm::calculateAggregates(const MutableColumns & aggregate_columns, size_t start_pos, size_t length)
{
Columns aggregate_chunk;
aggregate_chunk.reserve(aggregate_columns.size());
for (const auto & name : header.getNames())
{
const auto & column = aggregate_columns[header.getPositionByName(name)];
ColumnPtr chunk_column = column->cut(start_pos, length);
aggregate_chunk.emplace_back(std::move(chunk_column));
}
aggregator->executeOnBlock(
aggregate_chunk, /* row_begin= */ 0, length,
aggregation_result, key_columns, columns_for_aggregator, no_more_keys);
}
void TTLAggregationAlgorithm::finalizeAggregates(MutableColumns & result_columns)
{
if (!aggregation_result.empty())
{
auto aggregated_res = aggregator->convertToBlocks(aggregation_result, true, 1);
for (auto & agg_block : aggregated_res)
{
for (const auto & it : description.set_parts)
it.expression->execute(agg_block);
for (const auto & name : description.group_by_keys)
{
const IColumn * values_column = agg_block.getByName(name).column.get();
auto & result_column = result_columns[header.getPositionByName(name)];
result_column->insertRangeFrom(*values_column, 0, agg_block.rows());
}
for (const auto & it : description.set_parts)
{
const IColumn * values_column = agg_block.getByName(it.expression_result_column_name).column.get();
auto & result_column = result_columns[header.getPositionByName(it.column_name)];
result_column->insertRangeFrom(*values_column, 0, agg_block.rows());
}
}
}
aggregation_result.invalidate();
}
void TTLAggregationAlgorithm::finalize(const MutableDataPartPtr & data_part) const
{
data_part->ttl_infos.group_by_ttl[description.result_column] = new_ttl_info;
data_part->ttl_infos.updatePartMinMaxTTL(new_ttl_info.min, new_ttl_info.max);
}
}
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