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529 lines
19 KiB
C++
529 lines
19 KiB
C++
#pragma once
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#include <DB/Core/NamesAndTypes.h>
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#include <DB/Storages/MergeTree/RangesInDataPart.h>
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#include <ext/range.hpp>
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#include <mutex>
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namespace ProfileEvents
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{
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extern const Event SlowRead;
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extern const Event ReadBackoff;
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}
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namespace DB
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{
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/// A batch of work for MergeTreeThreadBlockInputStream
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struct MergeTreeReadTask
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{
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/// data part which should be read while performing this task
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MergeTreeData::DataPartPtr data_part;
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/** Ranges to read from `data_part`.
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* Specified in reverse order for MergeTreeThreadBlockInputStream's convenience of calling .pop_back(). */
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MarkRanges mark_ranges;
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/// for virtual `part_index` virtual column
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std::size_t part_index_in_query;
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/// ordered list of column names used in this query, allows returning blocks with consistent ordering
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const Names & ordered_names;
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/// used to determine whether column should be filtered during PREWHERE or WHERE
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const NameSet & column_name_set;
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/// column names to read during WHERE
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const NamesAndTypesList & columns;
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/// column names to read during PREWHERE
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const NamesAndTypesList & pre_columns;
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/// should PREWHERE column be returned to requesting side?
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const bool remove_prewhere_column;
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/// resulting block may require reordering in accordance with `ordered_names`
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const bool should_reorder;
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MergeTreeReadTask(
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const MergeTreeData::DataPartPtr & data_part, const MarkRanges & ranges, const std::size_t part_index_in_query,
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const Names & ordered_names, const NameSet & column_name_set, const NamesAndTypesList & columns,
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const NamesAndTypesList & pre_columns, const bool remove_prewhere_column, const bool should_reorder)
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: data_part{data_part}, mark_ranges{ranges}, part_index_in_query{part_index_in_query},
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ordered_names{ordered_names}, column_name_set{column_name_set}, columns{columns}, pre_columns{pre_columns},
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remove_prewhere_column{remove_prewhere_column}, should_reorder{should_reorder}
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{}
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};
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using MergeTreeReadTaskPtr = std::unique_ptr<MergeTreeReadTask>;
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/** Provides read tasks for MergeTreeThreadBlockInputStream`s in fine-grained batches, allowing for more
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* uniform distribution of work amongst multiple threads. All parts and their ranges are divided into `threads`
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* workloads with at most `sum_marks / threads` marks. Then, threads are performing reads from these workloads
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* in "sequential" manner, requesting work in small batches. As soon as some thread has exhausted
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* it's workload, it either is signaled that no more work is available (`do_not_steal_tasks == false`) or
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* continues taking small batches from other threads' workloads (`do_not_steal_tasks == true`).
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*/
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class MergeTreeReadPool
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{
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public:
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/** Pull could dynamically lower (backoff) number of threads, if read operation are too slow.
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* Settings for that backoff.
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*/
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struct BackoffSettings
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{
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/// Pay attention only to reads, that took at least this amount of time. If set to 0 - means backoff is disabled.
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size_t min_read_latency_ms = 1000;
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/// Count events, when read throughput is less than specified bytes per second.
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size_t max_throughput = 1048576;
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/// Do not pay attention to event, if not enough time passed since previous event.
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size_t min_interval_between_events_ms = 1000;
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/// Number of events to do backoff - to lower number of threads in pool.
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size_t min_events = 2;
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/// Constants above is just an example.
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BackoffSettings(const Settings & settings)
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: min_read_latency_ms(settings.read_backoff_min_latency_ms.totalMilliseconds()),
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max_throughput(settings.read_backoff_max_throughput),
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min_interval_between_events_ms(settings.read_backoff_min_interval_between_events_ms.totalMilliseconds()),
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min_events(settings.read_backoff_min_events)
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{
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}
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BackoffSettings() : min_read_latency_ms(0) {}
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};
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BackoffSettings backoff_settings;
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private:
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/** State to track numbers of slow reads.
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*/
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struct BackoffState
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{
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size_t current_threads;
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Stopwatch time_since_prev_event {CLOCK_MONOTONIC_COARSE};
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size_t num_events = 0;
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BackoffState(size_t threads) : current_threads(threads) {}
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};
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BackoffState backoff_state;
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public:
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MergeTreeReadPool(
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const std::size_t threads, const std::size_t sum_marks, const std::size_t min_marks_for_concurrent_read,
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RangesInDataParts parts, MergeTreeData & data, const ExpressionActionsPtr & prewhere_actions,
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const String & prewhere_column_name, const bool check_columns, const Names & column_names,
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const BackoffSettings & backoff_settings,
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const bool do_not_steal_tasks = false)
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: backoff_settings{backoff_settings}, backoff_state{threads},
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data{data}, column_names{column_names}, do_not_steal_tasks{do_not_steal_tasks}
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{
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const auto per_part_sum_marks = fillPerPartInfo(parts, prewhere_actions, prewhere_column_name, check_columns);
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fillPerThreadInfo(threads, sum_marks, per_part_sum_marks, parts, min_marks_for_concurrent_read);
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}
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MergeTreeReadPool(const MergeTreeReadPool &) = delete;
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MergeTreeReadPool & operator=(const MergeTreeReadPool &) = delete;
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MergeTreeReadTaskPtr getTask(const std::size_t min_marks_to_read, const std::size_t thread)
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{
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const std::lock_guard<std::mutex> lock{mutex};
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/// If number of threads was lowered due to backoff, then will assign work only for maximum 'backoff_state.current_threads' threads.
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if (thread >= backoff_state.current_threads)
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return nullptr;
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if (remaining_thread_tasks.empty())
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return nullptr;
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const auto tasks_remaining_for_this_thread = !threads_tasks[thread].sum_marks_in_parts.empty();
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if (!tasks_remaining_for_this_thread && do_not_steal_tasks)
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return nullptr;
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const auto thread_idx = tasks_remaining_for_this_thread ? thread : *std::begin(remaining_thread_tasks);
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auto & thread_tasks = threads_tasks[thread_idx];
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auto & thread_task = thread_tasks.parts_and_ranges.back();
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const auto part_idx = thread_task.part_idx;
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auto & part = parts[part_idx];
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auto & marks_in_part = thread_tasks.sum_marks_in_parts.back();
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/// Get whole part to read if it is small enough.
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auto need_marks = std::min(marks_in_part, min_marks_to_read);
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/// Do not leave too little rows in part for next time.
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if (marks_in_part > need_marks &&
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marks_in_part - need_marks < min_marks_to_read)
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need_marks = marks_in_part;
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MarkRanges ranges_to_get_from_part;
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/// Get whole part to read if it is small enough.
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if (marks_in_part <= need_marks)
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{
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const auto marks_to_get_from_range = marks_in_part;
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/** Ranges are in right-to-left order, because 'reverse' was done in MergeTreeDataSelectExecutor
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* and that order is supported in 'fillPerThreadInfo'.
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*/
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ranges_to_get_from_part = thread_task.ranges;
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marks_in_part -= marks_to_get_from_range;
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thread_tasks.parts_and_ranges.pop_back();
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thread_tasks.sum_marks_in_parts.pop_back();
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if (thread_tasks.sum_marks_in_parts.empty())
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remaining_thread_tasks.erase(thread_idx);
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}
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else
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{
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/// Loop through part ranges.
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while (need_marks > 0 && !thread_task.ranges.empty())
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{
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auto & range = thread_task.ranges.back();
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const std::size_t marks_in_range = range.end - range.begin;
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const std::size_t marks_to_get_from_range = std::min(marks_in_range, need_marks);
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ranges_to_get_from_part.emplace_back(range.begin, range.begin + marks_to_get_from_range);
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range.begin += marks_to_get_from_range;
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if (range.begin == range.end)
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{
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std::swap(range, thread_task.ranges.back());
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thread_task.ranges.pop_back();
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}
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marks_in_part -= marks_to_get_from_range;
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need_marks -= marks_to_get_from_range;
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}
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/** Change order to right-to-left, for MergeTreeThreadBlockInputStream to get ranges with .pop_back()
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* (order was changed to left-to-right due to .pop_back() above).
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*/
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std::reverse(std::begin(ranges_to_get_from_part), std::end(ranges_to_get_from_part));
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}
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return std::make_unique<MergeTreeReadTask>(
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part.data_part, ranges_to_get_from_part, part.part_index_in_query, column_names,
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per_part_column_name_set[part_idx], per_part_columns[part_idx], per_part_pre_columns[part_idx],
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per_part_remove_prewhere_column[part_idx], per_part_should_reorder[part_idx]);
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}
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/** Each worker could call this method and pass information about read performance.
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* If read performance is too low, pool could decide to lower number of threads: do not assign more tasks to several threads.
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* This allows to overcome excessive load to disk subsystem, when reads are not from page cache.
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*/
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void profileFeedback(const ReadBufferFromFileBase::ProfileInfo info)
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{
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if (backoff_settings.min_read_latency_ms == 0 || do_not_steal_tasks)
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return;
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if (info.nanoseconds < backoff_settings.min_read_latency_ms * 1000000)
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return;
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std::lock_guard<std::mutex> lock(mutex);
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if (backoff_state.current_threads <= 1)
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return;
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size_t throughput = info.bytes_read * 1000000000 / info.nanoseconds;
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if (throughput >= backoff_settings.max_throughput)
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return;
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if (backoff_state.time_since_prev_event.elapsed() < backoff_settings.min_interval_between_events_ms * 1000000)
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return;
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backoff_state.time_since_prev_event.restart();
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++backoff_state.num_events;
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ProfileEvents::increment(ProfileEvents::SlowRead);
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LOG_DEBUG(log, std::fixed << std::setprecision(3)
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<< "Slow read, event №" << backoff_state.num_events
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<< ": read " << info.bytes_read << " bytes in " << info.nanoseconds / 1000000000.0 << " sec., "
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<< info.bytes_read * 1000.0 / info.nanoseconds << " MB/s.");
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if (backoff_state.num_events < backoff_settings.min_events)
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return;
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backoff_state.num_events = 0;
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--backoff_state.current_threads;
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ProfileEvents::increment(ProfileEvents::ReadBackoff);
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LOG_DEBUG(log, "Will lower number of threads to " << backoff_state.current_threads);
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}
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private:
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std::vector<std::size_t> fillPerPartInfo(
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RangesInDataParts & parts, const ExpressionActionsPtr & prewhere_actions, const String & prewhere_column_name,
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const bool check_columns)
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{
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std::vector<std::size_t> per_part_sum_marks;
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for (const auto i : ext::range(0, parts.size()))
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{
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auto & part = parts[i];
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/// Read marks for every data part.
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size_t sum_marks = 0;
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/// Ranges are in right-to-left order, due to 'reverse' in MergeTreeDataSelectExecutor.
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for (const auto & range : part.ranges)
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sum_marks += range.end - range.begin;
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per_part_sum_marks.push_back(sum_marks);
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per_part_columns_lock.push_back(std::make_unique<Poco::ScopedReadRWLock>(
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part.data_part->columns_lock));
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/// inject column names required for DEFAULT evaluation in current part
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auto required_column_names = column_names;
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const auto injected_columns = injectRequiredColumns(part.data_part, required_column_names);
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auto should_reoder = !injected_columns.empty();
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Names required_pre_column_names;
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if (prewhere_actions)
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{
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/// collect columns required for PREWHERE evaluation
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required_pre_column_names = prewhere_actions->getRequiredColumns();
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/// there must be at least one column required for PREWHERE
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if (required_pre_column_names.empty())
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required_pre_column_names.push_back(required_column_names[0]);
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/// PREWHERE columns may require some additional columns for DEFAULT evaluation
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const auto injected_pre_columns = injectRequiredColumns(part.data_part, required_pre_column_names);
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if (!injected_pre_columns.empty())
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should_reoder = true;
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/// will be used to distinguish between PREWHERE and WHERE columns when applying filter
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const NameSet pre_name_set{
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std::begin(required_pre_column_names), std::end(required_pre_column_names)
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};
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/** If expression in PREWHERE is not table column, then no need to return column with it to caller
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* (because storage is expected only to read table columns).
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*/
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per_part_remove_prewhere_column.push_back(0 == pre_name_set.count(prewhere_column_name));
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Names post_column_names;
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for (const auto & name : required_column_names)
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if (!pre_name_set.count(name))
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post_column_names.push_back(name);
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required_column_names = post_column_names;
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}
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else
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per_part_remove_prewhere_column.push_back(false);
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per_part_column_name_set.emplace_back(std::begin(required_column_names), std::end(required_column_names));
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if (check_columns)
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{
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/** Under part->columns_lock check that all requested columns in part are of same type that in table.
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* This could be violated during ALTER MODIFY.
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*/
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if (!required_pre_column_names.empty())
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data.check(part.data_part->columns, required_pre_column_names);
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if (!required_column_names.empty())
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data.check(part.data_part->columns, required_column_names);
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per_part_pre_columns.push_back(data.getColumnsList().addTypes(required_pre_column_names));
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per_part_columns.push_back(data.getColumnsList().addTypes(required_column_names));
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}
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else
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{
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per_part_pre_columns.push_back(part.data_part->columns.addTypes(required_pre_column_names));
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per_part_columns.push_back(part.data_part->columns.addTypes(required_column_names));
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}
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per_part_should_reorder.push_back(should_reoder);
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this->parts.push_back({ part.data_part, part.part_index_in_query });
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}
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return per_part_sum_marks;
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}
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void fillPerThreadInfo(
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const std::size_t threads, const std::size_t sum_marks, std::vector<std::size_t> per_part_sum_marks,
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RangesInDataParts & parts, const std::size_t min_marks_for_concurrent_read)
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{
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threads_tasks.resize(threads);
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const size_t min_marks_per_thread = (sum_marks - 1) / threads + 1;
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for (std::size_t i = 0; i < threads && !parts.empty(); ++i)
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{
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auto need_marks = min_marks_per_thread;
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while (need_marks > 0 && !parts.empty())
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{
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const auto part_idx = parts.size() - 1;
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RangesInDataPart & part = parts.back();
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size_t & marks_in_part = per_part_sum_marks.back();
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/// Do not get too few rows from part.
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if (marks_in_part >= min_marks_for_concurrent_read &&
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need_marks < min_marks_for_concurrent_read)
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need_marks = min_marks_for_concurrent_read;
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/// Do not leave too few rows in part for next time.
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if (marks_in_part > need_marks &&
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marks_in_part - need_marks < min_marks_for_concurrent_read)
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need_marks = marks_in_part;
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MarkRanges ranges_to_get_from_part;
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size_t marks_in_ranges = need_marks;
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/// Get whole part to read if it is small enough.
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if (marks_in_part <= need_marks)
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{
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/// Leave ranges in right-to-left order for convenience to use .pop_back() in .getTask()
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ranges_to_get_from_part = part.ranges;
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marks_in_ranges = marks_in_part;
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need_marks -= marks_in_part;
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parts.pop_back();
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per_part_sum_marks.pop_back();
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}
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else
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{
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/// Loop through part ranges.
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while (need_marks > 0)
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{
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if (part.ranges.empty())
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throw Exception("Unexpected end of ranges while spreading marks among threads", ErrorCodes::LOGICAL_ERROR);
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MarkRange & range = part.ranges.back();
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const size_t marks_in_range = range.end - range.begin;
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const size_t marks_to_get_from_range = std::min(marks_in_range, need_marks);
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ranges_to_get_from_part.emplace_back(range.begin, range.begin + marks_to_get_from_range);
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range.begin += marks_to_get_from_range;
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marks_in_part -= marks_to_get_from_range;
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need_marks -= marks_to_get_from_range;
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if (range.begin == range.end)
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part.ranges.pop_back();
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}
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/** Change order to right-to-left, for getTask() to get ranges with .pop_back()
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* (order was changed to left-to-right due to .pop_back() above).
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*/
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std::reverse(std::begin(ranges_to_get_from_part), std::end(ranges_to_get_from_part));
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}
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threads_tasks[i].parts_and_ranges.push_back({ part_idx, ranges_to_get_from_part });
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threads_tasks[i].sum_marks_in_parts.push_back(marks_in_ranges);
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if (marks_in_ranges != 0)
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remaining_thread_tasks.insert(i);
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}
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}
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}
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/** Если некоторых запрошенных столбцов нет в куске,
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* то выясняем, какие столбцы может быть необходимо дополнительно прочитать,
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* чтобы можно было вычислить DEFAULT выражение для этих столбцов.
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* Добавляет их в columns.
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*/
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NameSet injectRequiredColumns(const MergeTreeData::DataPartPtr & part, Names & columns) const
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{
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NameSet required_columns{std::begin(columns), std::end(columns)};
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NameSet injected_columns;
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auto all_column_files_missing = true;
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for (size_t i = 0; i < columns.size(); ++i)
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{
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const auto & column_name = columns[i];
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/// column has files and hence does not require evaluation
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if (part->hasColumnFiles(column_name))
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{
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all_column_files_missing = false;
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continue;
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}
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const auto default_it = data.column_defaults.find(column_name);
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/// columns has no explicit default expression
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if (default_it == std::end(data.column_defaults))
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continue;
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/// collect identifiers required for evaluation
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IdentifierNameSet identifiers;
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default_it->second.expression->collectIdentifierNames(identifiers);
|
|
|
|
for (const auto & identifier : identifiers)
|
|
{
|
|
if (data.hasColumn(identifier))
|
|
{
|
|
/// ensure each column is added only once
|
|
if (required_columns.count(identifier) == 0)
|
|
{
|
|
columns.emplace_back(identifier);
|
|
required_columns.emplace(identifier);
|
|
injected_columns.emplace(identifier);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/** Добавить столбец минимального размера.
|
|
* Используется в случае, когда ни один столбец не нужен или файлы отсутствуют, но нужно хотя бы знать количество строк.
|
|
* Добавляет в columns.
|
|
*/
|
|
if (all_column_files_missing)
|
|
{
|
|
const auto minimum_size_column_name = part->getMinimumSizeColumnName();
|
|
columns.push_back(minimum_size_column_name);
|
|
/// correctly report added column
|
|
injected_columns.insert(columns.back());
|
|
}
|
|
|
|
return injected_columns;
|
|
}
|
|
|
|
std::vector<std::unique_ptr<Poco::ScopedReadRWLock>> per_part_columns_lock;
|
|
MergeTreeData & data;
|
|
Names column_names;
|
|
bool do_not_steal_tasks;
|
|
std::vector<NameSet> per_part_column_name_set;
|
|
std::vector<NamesAndTypesList> per_part_columns;
|
|
std::vector<NamesAndTypesList> per_part_pre_columns;
|
|
/// @todo actually all of these values are either true or false for the whole query, thus no vector required
|
|
std::vector<char> per_part_remove_prewhere_column;
|
|
std::vector<char> per_part_should_reorder;
|
|
|
|
struct Part
|
|
{
|
|
MergeTreeData::DataPartPtr data_part;
|
|
std::size_t part_index_in_query;
|
|
};
|
|
|
|
std::vector<Part> parts;
|
|
|
|
struct ThreadTask
|
|
{
|
|
struct PartIndexAndRange
|
|
{
|
|
std::size_t part_idx;
|
|
MarkRanges ranges;
|
|
};
|
|
|
|
std::vector<PartIndexAndRange> parts_and_ranges;
|
|
std::vector<std::size_t> sum_marks_in_parts;
|
|
};
|
|
|
|
std::vector<ThreadTask> threads_tasks;
|
|
|
|
std::set<std::size_t> remaining_thread_tasks;
|
|
|
|
mutable std::mutex mutex;
|
|
|
|
Logger * log = &Logger::get("MergeTreeReadPool");
|
|
};
|
|
|
|
using MergeTreeReadPoolPtr = std::shared_ptr<MergeTreeReadPool>;
|
|
|
|
|
|
}
|