mirror of
https://github.com/ClickHouse/ClickHouse.git
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292 lines
9.1 KiB
C++
292 lines
9.1 KiB
C++
#pragma once
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#include <Core/Block.h>
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#include <Core/Settings.h>
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#include <Parsers/IAST_fwd.h>
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#include <Poco/Logger.h>
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#include <Common/CurrentThread.h>
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#include <Common/MemoryTrackerSwitcher.h>
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#include <Common/ThreadPool.h>
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#include <Processors/Chunk.h>
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#include <future>
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#include <shared_mutex>
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#include <variant>
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namespace DB
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{
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/// A queue, that stores data for insert queries and periodically flushes it to tables.
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/// The data is grouped by table, format and settings of insert query.
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class AsynchronousInsertQueue : public WithContext
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{
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public:
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using Milliseconds = std::chrono::milliseconds;
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AsynchronousInsertQueue(ContextPtr context_, size_t pool_size_, bool flush_on_shutdown_);
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~AsynchronousInsertQueue();
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struct PushResult
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{
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enum Status
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{
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OK,
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TOO_MUCH_DATA,
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};
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Status status;
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/// Future that allows to wait until the query is flushed.
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std::future<void> future{};
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/// Read buffer that contains extracted
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/// from query data in case of too much data.
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std::unique_ptr<ReadBuffer> insert_data_buffer{};
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/// Block that contains received by Native
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/// protocol data in case of too much data.
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Block insert_block{};
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};
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enum class DataKind
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{
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Parsed = 0,
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Preprocessed = 1,
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};
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static void validateSettings(const Settings & settings, LoggerPtr log);
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/// Force flush the whole queue.
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void flushAll();
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PushResult pushQueryWithInlinedData(ASTPtr query, ContextPtr query_context);
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PushResult pushQueryWithBlock(ASTPtr query, Block block, ContextPtr query_context);
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size_t getPoolSize() const { return pool_size; }
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private:
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struct InsertQuery
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{
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public:
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ASTPtr query;
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String query_str;
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std::optional<UUID> user_id;
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std::vector<UUID> current_roles;
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Settings settings;
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DataKind data_kind;
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UInt128 hash;
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InsertQuery(
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const ASTPtr & query_,
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const std::optional<UUID> & user_id_,
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const std::vector<UUID> & current_roles_,
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const Settings & settings_,
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DataKind data_kind_);
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InsertQuery(const InsertQuery & other) { *this = other; }
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InsertQuery & operator=(const InsertQuery & other);
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bool operator==(const InsertQuery & other) const;
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private:
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auto toTupleCmp() const { return std::tie(data_kind, query_str, user_id, current_roles, setting_changes); }
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std::vector<SettingChange> setting_changes;
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};
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struct DataChunk : public std::variant<String, Block>
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{
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using std::variant<String, Block>::variant;
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size_t byteSize() const
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{
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return std::visit([]<typename T>(const T & arg)
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{
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if constexpr (std::is_same_v<T, Block>)
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return arg.bytes();
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else
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return arg.size();
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}, *this);
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}
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DataKind getDataKind() const
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{
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if (std::holds_alternative<Block>(*this))
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return DataKind::Preprocessed;
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else
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return DataKind::Parsed;
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}
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const String * asString() const { return std::get_if<String>(this); }
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const Block * asBlock() const { return std::get_if<Block>(this); }
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};
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struct InsertData
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{
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struct Entry
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{
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public:
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DataChunk chunk;
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const String query_id;
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const String async_dedup_token;
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const String format;
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MemoryTracker * const user_memory_tracker;
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const std::chrono::time_point<std::chrono::system_clock> create_time;
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Entry(
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DataChunk && chunk_,
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String && query_id_,
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const String & async_dedup_token_,
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const String & format_,
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MemoryTracker * user_memory_tracker_);
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void finish(std::exception_ptr exception_ = nullptr);
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std::future<void> getFuture() { return promise.get_future(); }
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bool isFinished() const { return finished; }
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private:
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std::promise<void> promise;
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std::atomic_bool finished = false;
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};
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InsertData() = default;
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explicit InsertData(Milliseconds timeout_ms_) : timeout_ms(timeout_ms_) { }
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~InsertData()
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{
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auto it = entries.begin();
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// Entries must be destroyed in context of user who runs async insert.
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// Each entry in the list may correspond to a different user,
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// so we need to switch current thread's MemoryTracker parent on each iteration.
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while (it != entries.end())
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{
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MemoryTrackerSwitcher switcher((*it)->user_memory_tracker);
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it = entries.erase(it);
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}
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}
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using EntryPtr = std::shared_ptr<Entry>;
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std::list<EntryPtr> entries;
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size_t size_in_bytes = 0;
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Milliseconds timeout_ms = Milliseconds::zero();
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};
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using InsertDataPtr = std::unique_ptr<InsertData>;
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struct Container
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{
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InsertQuery key;
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InsertDataPtr data;
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};
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/// Ordered container
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/// Key is a timestamp of the first insert into batch.
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/// Used to detect for how long the batch is active, so we can dump it by timer.
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using Queue = std::map<std::chrono::steady_clock::time_point, Container>;
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using QueueIterator = Queue::iterator;
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using QueueIteratorByKey = std::unordered_map<UInt128, QueueIterator>;
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using OptionalTimePoint = std::optional<std::chrono::steady_clock::time_point>;
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struct QueueShard
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{
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mutable std::mutex mutex;
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mutable std::condition_variable are_tasks_available;
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Queue queue;
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QueueIteratorByKey iterators;
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OptionalTimePoint last_insert_time;
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std::chrono::milliseconds busy_timeout_ms;
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};
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/// Times of the two most recent queue flushes.
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/// Used to calculate adaptive timeout.
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struct QueueShardFlushTimeHistory
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{
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public:
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using TimePoints = std::pair<OptionalTimePoint, OptionalTimePoint>;
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TimePoints getRecentTimePoints() const;
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void updateWithCurrentTime();
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private:
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mutable std::shared_mutex mutex;
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TimePoints time_points;
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};
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const size_t pool_size;
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const bool flush_on_shutdown;
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std::vector<QueueShard> queue_shards;
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std::vector<QueueShardFlushTimeHistory> flush_time_history_per_queue_shard;
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/// Logic and events behind queue are as follows:
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/// - async_insert_busy_timeout_ms:
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/// if queue is active for too long and there are a lot of rapid inserts, then we dump the data, so it doesn't
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/// grow for a long period of time and users will be able to select new data in deterministic manner.
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///
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/// During processing incoming INSERT queries we can also check whether the maximum size of data in buffer is reached
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/// (async_insert_max_data_size setting). If so, then again we dump the data.
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std::atomic<bool> shutdown{false};
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std::atomic<bool> flush_stopped{false};
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/// A mutex that prevents concurrent forced flushes of queue.
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mutable std::mutex flush_mutex;
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/// Dump the data only inside this pool.
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ThreadPool pool;
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/// Uses async_insert_busy_timeout_ms and processBatchDeadlines()
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std::vector<ThreadFromGlobalPool> dump_by_first_update_threads;
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LoggerPtr log = getLogger("AsynchronousInsertQueue");
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PushResult pushDataChunk(ASTPtr query, DataChunk chunk, ContextPtr query_context);
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Milliseconds getBusyWaitTimeoutMs(
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const Settings & settings,
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const QueueShard & shard,
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const QueueShardFlushTimeHistory::TimePoints & flush_time_points,
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std::chrono::steady_clock::time_point now) const;
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void preprocessInsertQuery(const ASTPtr & query, const ContextPtr & query_context);
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void processBatchDeadlines(size_t shard_num);
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void scheduleDataProcessingJob(const InsertQuery & key, InsertDataPtr data, ContextPtr global_context, size_t shard_num);
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static void processData(
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InsertQuery key, InsertDataPtr data, ContextPtr global_context, QueueShardFlushTimeHistory & queue_shard_flush_time_history);
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template <typename LogFunc>
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static Chunk processEntriesWithParsing(
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const InsertQuery & key,
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const InsertDataPtr & data,
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const Block & header,
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const ContextPtr & insert_context,
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const LoggerPtr logger,
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LogFunc && add_to_async_insert_log);
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template <typename LogFunc>
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static Chunk processPreprocessedEntries(
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const InsertQuery & key,
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const InsertDataPtr & data,
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const Block & header,
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const ContextPtr & insert_context,
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LogFunc && add_to_async_insert_log);
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template <typename E>
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static void finishWithException(const ASTPtr & query, const std::list<InsertData::EntryPtr> & entries, const E & exception);
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public:
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auto getQueueLocked(size_t shard_num) const
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{
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auto & shard = queue_shards[shard_num];
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std::unique_lock lock(shard.mutex);
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return std::make_pair(std::ref(shard.queue), std::move(lock));
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}
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};
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}
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