mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-12 02:23:14 +00:00
284 lines
10 KiB
C++
284 lines
10 KiB
C++
#pragma once
|
||
|
||
#include <DB/IO/WriteBufferFromFile.h>
|
||
#include <DB/IO/CompressedWriteBuffer.h>
|
||
|
||
#include <DB/Columns/ColumnsNumber.h>
|
||
|
||
#include <DB/Interpreters/sortBlock.h>
|
||
|
||
#include <DB/Storages/StorageMergeTree.h>
|
||
|
||
|
||
namespace DB
|
||
{
|
||
|
||
class MergeTreeBlockOutputStream : public IBlockOutputStream
|
||
{
|
||
public:
|
||
MergeTreeBlockOutputStream(StoragePtr owned_storage) : IBlockOutputStream(owned_storage), storage(dynamic_cast<StorageMergeTree &>(*owned_storage)), flags(O_TRUNC | O_CREAT | O_WRONLY)
|
||
{
|
||
}
|
||
|
||
void write(const Block & block)
|
||
{
|
||
storage.check(block, true);
|
||
|
||
DateLUTSingleton & date_lut = DateLUTSingleton::instance();
|
||
|
||
size_t rows = block.rows();
|
||
size_t columns = block.columns();
|
||
|
||
/// Достаём столбец с датой.
|
||
const ColumnUInt16::Container_t & dates =
|
||
dynamic_cast<const ColumnUInt16 &>(*block.getByName(storage.date_column_name).column).getData();
|
||
|
||
/// Минимальная и максимальная дата.
|
||
UInt16 min_date = std::numeric_limits<UInt16>::max();
|
||
UInt16 max_date = std::numeric_limits<UInt16>::min();
|
||
for (ColumnUInt16::Container_t::const_iterator it = dates.begin(); it != dates.end(); ++it)
|
||
{
|
||
if (*it < min_date)
|
||
min_date = *it;
|
||
if (*it > max_date)
|
||
max_date = *it;
|
||
}
|
||
|
||
/// Разделяем на блоки по месяцам. Для каждого ещё посчитаем минимальную и максимальную дату.
|
||
typedef std::map<UInt16, BlockWithDateInterval> BlocksByMonth;
|
||
BlocksByMonth blocks_by_month;
|
||
|
||
UInt16 min_month = date_lut.toFirstDayNumOfMonth(DayNum_t(min_date));
|
||
UInt16 max_month = date_lut.toFirstDayNumOfMonth(DayNum_t(max_date));
|
||
|
||
/// Типичный случай - когда месяц один (ничего разделять не нужно).
|
||
if (min_month == max_month)
|
||
blocks_by_month[min_month] = BlockWithDateInterval(block, min_date, max_date);
|
||
else
|
||
{
|
||
for (size_t i = 0; i < rows; ++i)
|
||
{
|
||
UInt16 month = date_lut.toFirstDayNumOfMonth(DayNum_t(dates[i]));
|
||
|
||
BlockWithDateInterval & block_for_month = blocks_by_month[month];
|
||
if (!block_for_month.block)
|
||
block_for_month.block = block.cloneEmpty();
|
||
|
||
if (dates[i] < block_for_month.min_date)
|
||
block_for_month.min_date = dates[i];
|
||
if (dates[i] > block_for_month.max_date)
|
||
block_for_month.max_date = dates[i];
|
||
|
||
for (size_t j = 0; j < columns; ++j)
|
||
block_for_month.block.getByPosition(j).column->insert((*block.getByPosition(j).column)[i]);
|
||
}
|
||
}
|
||
|
||
/// Для каждого месяца.
|
||
for (BlocksByMonth::iterator it = blocks_by_month.begin(); it != blocks_by_month.end(); ++it)
|
||
writePart(it->second.block, it->second.min_date, it->second.max_date);
|
||
}
|
||
|
||
private:
|
||
StorageMergeTree & storage;
|
||
|
||
const int flags;
|
||
|
||
struct BlockWithDateInterval
|
||
{
|
||
Block block;
|
||
UInt16 min_date;
|
||
UInt16 max_date;
|
||
|
||
BlockWithDateInterval() : min_date(std::numeric_limits<UInt16>::max()), max_date(0) {}
|
||
BlockWithDateInterval(const Block & block_, UInt16 min_date_, UInt16 max_date_)
|
||
: block(block_), min_date(min_date_), max_date(max_date_) {}
|
||
};
|
||
|
||
typedef std::set<std::string> OffsetColumns;
|
||
|
||
void writePart(Block & block, UInt16 min_date, UInt16 max_date)
|
||
{
|
||
DateLUTSingleton & date_lut = DateLUTSingleton::instance();
|
||
|
||
size_t rows = block.rows();
|
||
size_t columns = block.columns();
|
||
UInt64 part_id = storage.increment.get(false);
|
||
size_t part_size = (rows + storage.index_granularity - 1) / storage.index_granularity;
|
||
|
||
String part_name = storage.getPartName(
|
||
DayNum_t(min_date), DayNum_t(max_date),
|
||
part_id, part_id, 0);
|
||
|
||
String part_tmp_path = storage.full_path + "tmp_" + part_name + "/";
|
||
String part_res_path = storage.full_path + part_name + "/";
|
||
|
||
Poco::File(part_tmp_path).createDirectories();
|
||
|
||
LOG_TRACE(storage.log, "Calculating primary expression.");
|
||
|
||
/// Если для сортировки надо вычислить некоторые столбцы - делаем это.
|
||
storage.primary_expr->execute(block);
|
||
|
||
LOG_TRACE(storage.log, "Sorting by primary key.");
|
||
|
||
/// Сортируем.
|
||
stableSortBlock(block, storage.sort_descr);
|
||
|
||
/// Наконец-то можно писать данные на диск.
|
||
LOG_TRACE(storage.log, "Writing index.");
|
||
|
||
/// Сначала пишем индекс. Индекс содержит значение PK для каждой index_granularity строки.
|
||
StorageMergeTree::DataPart::Index index_vec;
|
||
index_vec.reserve(part_size * storage.sort_descr.size());
|
||
|
||
{
|
||
WriteBufferFromFile index(part_tmp_path + "primary.idx", DBMS_DEFAULT_BUFFER_SIZE, flags);
|
||
|
||
typedef std::vector<const ColumnWithNameAndType *> PrimaryColumns;
|
||
PrimaryColumns primary_columns;
|
||
|
||
for (size_t i = 0, size = storage.sort_descr.size(); i < size; ++i)
|
||
primary_columns.push_back(
|
||
!storage.sort_descr[i].column_name.empty()
|
||
? &block.getByName(storage.sort_descr[i].column_name)
|
||
: &block.getByPosition(storage.sort_descr[i].column_number));
|
||
|
||
for (size_t i = 0; i < rows; i += storage.index_granularity)
|
||
{
|
||
for (PrimaryColumns::const_iterator it = primary_columns.begin(); it != primary_columns.end(); ++it)
|
||
{
|
||
index_vec.push_back((*(*it)->column)[i]);
|
||
(*it)->type->serializeBinary(index_vec.back(), index);
|
||
}
|
||
}
|
||
|
||
index.next();
|
||
}
|
||
|
||
LOG_TRACE(storage.log, "Writing data.");
|
||
|
||
/// Множество записанных столбцов со смещениями, чтобы не писать общие для вложенных структур столбцы несколько раз
|
||
OffsetColumns offset_columns;
|
||
|
||
for (size_t i = 0; i < columns; ++i)
|
||
{
|
||
const ColumnWithNameAndType & column = block.getByPosition(i);
|
||
writeData(part_tmp_path, column.name, *column.type, *column.column, offset_columns);
|
||
}
|
||
|
||
LOG_TRACE(storage.log, "Renaming.");
|
||
|
||
/// Переименовываем кусок.
|
||
Poco::File(part_tmp_path).renameTo(part_res_path);
|
||
|
||
/// Добавляем новый кусок в набор.
|
||
{
|
||
Poco::ScopedLock<Poco::FastMutex> lock(storage.data_parts_mutex);
|
||
Poco::ScopedLock<Poco::FastMutex> lock_all(storage.all_data_parts_mutex);
|
||
|
||
StorageMergeTree::DataPartPtr new_data_part = new StorageMergeTree::DataPart(storage);
|
||
new_data_part->left_date = DayNum_t(min_date);
|
||
new_data_part->right_date = DayNum_t(max_date);
|
||
new_data_part->left = part_id;
|
||
new_data_part->right = part_id;
|
||
new_data_part->level = 0;
|
||
new_data_part->name = part_name;
|
||
new_data_part->size = part_size;
|
||
new_data_part->modification_time = time(0);
|
||
new_data_part->left_month = date_lut.toFirstDayNumOfMonth(new_data_part->left_date);
|
||
new_data_part->right_month = date_lut.toFirstDayNumOfMonth(new_data_part->right_date);
|
||
new_data_part->index.swap(index_vec);
|
||
|
||
storage.data_parts.insert(new_data_part);
|
||
storage.all_data_parts.insert(new_data_part);
|
||
}
|
||
|
||
/// Если на каждую запись делать по две итерации слияния, то дерево будет максимально компактно.
|
||
storage.merge(2);
|
||
}
|
||
|
||
/// Записать данные одного столбца.
|
||
void writeData(const String & path, const String & name, const IDataType & type, const IColumn & column,
|
||
OffsetColumns & offset_columns, size_t level = 0)
|
||
{
|
||
String escaped_column_name = escapeForFileName(name);
|
||
size_t size = column.size();
|
||
|
||
/// Для массивов требуется сначала сериализовать размеры, а потом значения.
|
||
if (const DataTypeArray * type_arr = dynamic_cast<const DataTypeArray *>(&type))
|
||
{
|
||
String size_name = escapeForFileName(DataTypeNested::extractNestedTableName(name))
|
||
+ ARRAY_SIZES_COLUMN_NAME_SUFFIX + toString(level);
|
||
if (offset_columns.count(size_name) == 0)
|
||
{
|
||
offset_columns.insert(size_name);
|
||
|
||
WriteBufferFromFile plain(path + size_name + ".bin", DBMS_DEFAULT_BUFFER_SIZE, flags);
|
||
WriteBufferFromFile marks(path + size_name + ".mrk", 4096, flags);
|
||
CompressedWriteBuffer compressed(plain);
|
||
|
||
size_t prev_mark = 0;
|
||
while (prev_mark < size)
|
||
{
|
||
/// Каждая засечка - это: (смещение в файле до начала сжатого блока, смещение внутри блока)
|
||
writeIntBinary(plain.count(), marks);
|
||
writeIntBinary(compressed.offset(), marks);
|
||
|
||
type_arr->serializeOffsets(column, compressed, prev_mark, storage.index_granularity);
|
||
prev_mark += storage.index_granularity;
|
||
}
|
||
|
||
compressed.next();
|
||
plain.next();
|
||
marks.next();
|
||
}
|
||
}
|
||
if (const DataTypeNested * type_nested = dynamic_cast<const DataTypeNested *>(&type))
|
||
{
|
||
String size_name = escaped_column_name + ARRAY_SIZES_COLUMN_NAME_SUFFIX + toString(level);
|
||
|
||
WriteBufferFromFile plain(path + size_name + ".bin", DBMS_DEFAULT_BUFFER_SIZE, flags);
|
||
WriteBufferFromFile marks(path + size_name + ".mrk", 4096, flags);
|
||
CompressedWriteBuffer compressed(plain);
|
||
|
||
size_t prev_mark = 0;
|
||
while (prev_mark < size)
|
||
{
|
||
/// Каждая засечка - это: (смещение в файле до начала сжатого блока, смещение внутри блока)
|
||
writeIntBinary(plain.count(), marks);
|
||
writeIntBinary(compressed.offset(), marks);
|
||
|
||
type_nested->serializeOffsets(column, compressed, prev_mark, storage.index_granularity);
|
||
prev_mark += storage.index_granularity;
|
||
}
|
||
|
||
compressed.next();
|
||
plain.next();
|
||
marks.next();
|
||
}
|
||
|
||
{
|
||
WriteBufferFromFile plain(path + escaped_column_name + ".bin", DBMS_DEFAULT_BUFFER_SIZE, flags);
|
||
WriteBufferFromFile marks(path + escaped_column_name + ".mrk", 4096, flags);
|
||
CompressedWriteBuffer compressed(plain);
|
||
|
||
size_t prev_mark = 0;
|
||
while (prev_mark < size)
|
||
{
|
||
writeIntBinary(plain.count(), marks);
|
||
writeIntBinary(compressed.offset(), marks);
|
||
|
||
type.serializeBinary(column, compressed, prev_mark, storage.index_granularity);
|
||
prev_mark += storage.index_granularity;
|
||
}
|
||
|
||
compressed.next();
|
||
plain.next();
|
||
marks.next();
|
||
}
|
||
}
|
||
};
|
||
|
||
}
|