ClickHouse/dbms/src/DataStreams/ParallelParsingBlockInputStream.h
2019-12-05 17:34:35 +03:00

259 lines
8.5 KiB
C++

#pragma once
#include <DataStreams/IBlockInputStream.h>
#include <Formats/FormatFactory.h>
#include <Common/ThreadPool.h>
#include <Common/setThreadName.h>
#include <IO/BufferWithOwnMemory.h>
#include <IO/ReadBuffer.h>
#include <Processors/Formats/IRowInputFormat.h>
#include <Processors/Formats/InputStreamFromInputFormat.h>
#include <Interpreters/Context.h>
namespace DB
{
/**
* ORDER-PRESERVING parallel parsing of data formats.
* It splits original data into chunks. Then each chunk is parsed by different thread.
* The number of chunks equals to the number or parser threads.
* The size of chunk is equal to min_chunk_bytes_for_parallel_parsing setting.
*
* This stream has three kinds of threads: one segmentator, multiple parsers,
* and one reader thread -- that is, the one from which readImpl() is called.
* They operate one after another on parts of data called "processing units".
* One unit consists of buffer with raw data from file, filled by segmentator
* thread. This raw data is then parsed by a parser thread to form a number of
* Blocks. These Blocks are returned to the parent stream from readImpl().
* After being read out, a processing unit is reused, to save on allocating
* memory for the raw buffer. The processing units are organized into a circular
* array to facilitate reuse and to apply backpressure on the segmentator thread
* -- after it runs out of processing units, it has to wait for the reader to
* read out the previous blocks.
* The outline of what the threads do is as follows:
* segmentator thread:
* 1) wait for the next processing unit to become empty
* 2) fill it with a part of input file
* 3) start a parser thread
* 4) repeat until eof
* parser thread:
* 1) parse the given raw buffer without any synchronization
* 2) signal that the given unit is ready to read
* 3) finish
* readImpl():
* 1) wait for the next processing unit to become ready to read
* 2) take the blocks from the processing unit to return them to the caller
* 3) signal that the processing unit is empty
* 4) repeat until it encounters unit that is marked as "past_the_end"
* All threads must also check for cancel/eof/exception flags.
*/
class ParallelParsingBlockInputStream : public IBlockInputStream
{
private:
using ReadCallback = std::function<void()>;
using InputProcessorCreator = std::function<InputFormatPtr(
ReadBuffer & buf,
const Block & header,
const Context & context,
const RowInputFormatParams & params,
const FormatSettings & settings)>;
public:
struct InputCreatorParams
{
const Block &sample;
const Context &context;
const RowInputFormatParams& row_input_format_params;
const FormatSettings &settings;
};
struct Params
{
ReadBuffer & read_buffer;
const InputProcessorCreator &input_processor_creator;
const InputCreatorParams &input_creator_params;
FormatFactory::FileSegmentationEngine file_segmentation_engine;
int max_threads;
size_t min_chunk_bytes;
};
explicit ParallelParsingBlockInputStream(const Params & params)
: header(params.input_creator_params.sample),
context(params.input_creator_params.context),
row_input_format_params(params.input_creator_params.row_input_format_params),
format_settings(params.input_creator_params.settings),
input_processor_creator(params.input_processor_creator),
min_chunk_bytes(params.min_chunk_bytes),
original_buffer(params.read_buffer),
// Subtract one thread that we use for segmentation and one for
// reading. After that, must have at least two threads left for
// parsing. See the assertion below.
pool(std::max(2, params.max_threads - 2)),
file_segmentation_engine(params.file_segmentation_engine)
{
// See comment above.
assert(params.max_threads >= 4);
// One unit for each thread, including segmentator and reader, plus a
// couple more units so that the segmentation thread doesn't spuriously
// bump into reader thread on wraparound.
processing_units.resize(params.max_threads + 2);
segmentator_thread = ThreadFromGlobalPool([this] { segmentatorThreadFunction(); });
}
String getName() const override { return "ParallelParsing"; }
~ParallelParsingBlockInputStream() override
{
finishAndWait();
}
void cancel(bool kill) override
{
/**
* Can be called multiple times, from different threads. Saturate the
* the kill flag with OR.
*/
if (kill)
is_killed = true;
is_cancelled = true;
/*
* The format parsers themselves are not being cancelled here, so we'll
* have to wait until they process the current block. Given that the
* chunk size is on the order of megabytes, this should't be too long.
* We can't call IInputFormat->cancel here, because the parser object is
* local to the parser thread, and we don't want to introduce any
* synchronization between parser threads and the other threads to get
* better performance. An ideal solution would be to add a callback to
* IInputFormat that checks whether it was cancelled.
*/
finishAndWait();
}
Block getHeader() const override
{
return header;
}
protected:
//Reader routine
Block readImpl() override;
const BlockMissingValues & getMissingValues() const override
{
return last_block_missing_values;
}
private:
const Block header;
const Context context;
const RowInputFormatParams row_input_format_params;
const FormatSettings format_settings;
const InputProcessorCreator input_processor_creator;
const size_t min_chunk_bytes;
/*
* This is declared as atomic to avoid UB, because parser threads access it
* without synchronization.
*/
std::atomic<bool> finished{false};
BlockMissingValues last_block_missing_values;
// Original ReadBuffer to read from.
ReadBuffer & original_buffer;
//Non-atomic because it is used in one thread.
std::optional<size_t> next_block_in_current_unit;
size_t segmentator_ticket_number{0};
size_t reader_ticket_number{0};
std::mutex mutex;
std::condition_variable reader_condvar;
std::condition_variable segmentator_condvar;
// There are multiple "parsers", that's why we use thread pool.
ThreadPool pool;
// Reading and segmentating the file
ThreadFromGlobalPool segmentator_thread;
// Function to segment the file. Then "parsers" will parse that segments.
FormatFactory::FileSegmentationEngine file_segmentation_engine;
enum ProcessingUnitStatus
{
READY_TO_INSERT,
READY_TO_PARSE,
READY_TO_READ
};
struct BlockExt
{
std::vector<Block> block;
std::vector<BlockMissingValues> block_missing_values;
};
struct ProcessingUnit
{
explicit ProcessingUnit()
: status(ProcessingUnitStatus::READY_TO_INSERT)
{
}
BlockExt block_ext;
Memory<> segment;
std::atomic<ProcessingUnitStatus> status;
bool is_last{false};
};
std::exception_ptr background_exception = nullptr;
// We use deque instead of vector, because it does not require a move
// constructor, which is absent for atomics that are inside ProcessingUnit.
std::deque<ProcessingUnit> processing_units;
void scheduleParserThreadForUnitWithNumber(size_t unit_number)
{
pool.scheduleOrThrowOnError(std::bind(&ParallelParsingBlockInputStream::parserThreadFunction, this, unit_number));
}
void finishAndWait()
{
finished = true;
{
std::unique_lock<std::mutex> lock(mutex);
segmentator_condvar.notify_all();
reader_condvar.notify_all();
}
if (segmentator_thread.joinable())
segmentator_thread.join();
try
{
pool.wait();
}
catch (...)
{
tryLogCurrentException(__PRETTY_FUNCTION__);
}
}
void segmentatorThreadFunction();
void parserThreadFunction(size_t bucket_num);
// Save/log a background exception, set termination flag, wake up all
// threads. This function is used by segmentator and parsed threads.
// readImpl() is called from the main thread, so the exception handling
// is different.
void onBackgroundException();
};
}