ClickHouse/src/Storages/StorageMemory.cpp

365 lines
11 KiB
C++

#include <cassert>
#include <Common/Exception.h>
#include <DataStreams/IBlockInputStream.h>
#include <Interpreters/MutationsInterpreter.h>
#include <Storages/StorageFactory.h>
#include <Storages/StorageMemory.h>
#include <Storages/MemorySettings.h>
#include <IO/WriteHelpers.h>
#include <Processors/Sources/SourceWithProgress.h>
#include <Processors/Pipe.h>
namespace DB
{
namespace ErrorCodes
{
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
}
class MemorySource : public SourceWithProgress
{
using InitializerFunc = std::function<void(std::shared_ptr<const Blocks> &)>;
public:
/// Blocks are stored in std::list which may be appended in another thread.
/// We use pointer to the beginning of the list and its current size.
/// We don't need synchronisation in this reader, because while we hold SharedLock on storage,
/// only new elements can be added to the back of the list, so our iterators remain valid
MemorySource(
Names column_names_,
const StorageMemory & storage,
const StorageMetadataPtr & metadata_snapshot,
std::shared_ptr<const Blocks> data_,
std::shared_ptr<std::atomic<size_t>> parallel_execution_index_,
InitializerFunc initializer_func_ = {})
: SourceWithProgress(metadata_snapshot->getSampleBlockForColumns(column_names_, storage.getVirtuals(), storage.getStorageID()))
, column_names_and_types(metadata_snapshot->getColumns().getAllWithSubcolumns().addTypes(std::move(column_names_)))
, data(data_)
, parallel_execution_index(parallel_execution_index_)
, initializer_func(std::move(initializer_func_))
{
}
String getName() const override { return "Memory"; }
protected:
Chunk generate() override
{
if (initializer_func)
{
initializer_func(data);
initializer_func = {};
}
size_t current_index = getAndIncrementExecutionIndex();
if (current_index >= data->size())
{
return {};
}
const Block & src = (*data)[current_index];
Columns columns;
columns.reserve(columns.size());
/// Add only required columns to `res`.
for (const auto & elem : column_names_and_types)
{
auto current_column = src.getByName(elem.getNameInStorage()).column;
current_column = current_column->decompress();
if (elem.isSubcolumn())
columns.emplace_back(elem.getTypeInStorage()->getSubcolumn(elem.getSubcolumnName(), *current_column));
else
columns.emplace_back(std::move(current_column));
}
return Chunk(std::move(columns), src.rows());
}
private:
size_t getAndIncrementExecutionIndex()
{
if (parallel_execution_index)
{
return (*parallel_execution_index)++;
}
else
{
return execution_index++;
}
}
const NamesAndTypesList column_names_and_types;
size_t execution_index = 0;
std::shared_ptr<const Blocks> data;
std::shared_ptr<std::atomic<size_t>> parallel_execution_index;
InitializerFunc initializer_func;
};
class MemoryBlockOutputStream : public IBlockOutputStream
{
public:
MemoryBlockOutputStream(
StorageMemory & storage_,
const StorageMetadataPtr & metadata_snapshot_)
: storage(storage_)
, metadata_snapshot(metadata_snapshot_)
{
}
Block getHeader() const override { return metadata_snapshot->getSampleBlock(); }
void write(const Block & block) override
{
metadata_snapshot->check(block, true);
if (storage.compress)
{
Block compressed_block;
for (const auto & elem : block)
compressed_block.insert({ elem.column->compress(), elem.type, elem.name });
new_blocks.emplace_back(compressed_block);
}
else
{
new_blocks.emplace_back(block);
}
}
void writeSuffix() override
{
size_t inserted_bytes = 0;
size_t inserted_rows = 0;
for (const auto & block : new_blocks)
{
inserted_bytes += block.allocatedBytes();
inserted_rows += block.rows();
}
std::lock_guard lock(storage.mutex);
auto new_data = std::make_unique<Blocks>(*(storage.data.get()));
new_data->insert(new_data->end(), new_blocks.begin(), new_blocks.end());
storage.data.set(std::move(new_data));
storage.total_size_bytes.fetch_add(inserted_bytes, std::memory_order_relaxed);
storage.total_size_rows.fetch_add(inserted_rows, std::memory_order_relaxed);
}
private:
Blocks new_blocks;
StorageMemory & storage;
StorageMetadataPtr metadata_snapshot;
};
StorageMemory::StorageMemory(
const StorageID & table_id_,
ColumnsDescription columns_description_,
ConstraintsDescription constraints_,
bool compress_)
: IStorage(table_id_), data(std::make_unique<const Blocks>()), compress(compress_)
{
StorageInMemoryMetadata storage_metadata;
storage_metadata.setColumns(std::move(columns_description_));
storage_metadata.setConstraints(std::move(constraints_));
setInMemoryMetadata(storage_metadata);
}
Pipe StorageMemory::read(
const Names & column_names,
const StorageMetadataPtr & metadata_snapshot,
SelectQueryInfo & /*query_info*/,
const Context & /*context*/,
QueryProcessingStage::Enum /*processed_stage*/,
size_t /*max_block_size*/,
unsigned num_streams)
{
metadata_snapshot->check(column_names, getVirtuals(), getStorageID());
if (delay_read_for_global_subqueries)
{
/// Note: for global subquery we use single source.
/// Mainly, the reason is that at this point table is empty,
/// and we don't know the number of blocks are going to be inserted into it.
///
/// It may seem to be not optimal, but actually data from such table is used to fill
/// set for IN or hash table for JOIN, which can't be done concurrently.
/// Since no other manipulation with data is done, multiple sources shouldn't give any profit.
return Pipe(std::make_shared<MemorySource>(
column_names,
*this,
metadata_snapshot,
nullptr /* data */,
nullptr /* parallel execution index */,
[this](std::shared_ptr<const Blocks> & data_to_initialize)
{
data_to_initialize = data.get();
}));
}
auto current_data = data.get();
size_t size = current_data->size();
if (num_streams > size)
num_streams = size;
Pipes pipes;
auto parallel_execution_index = std::make_shared<std::atomic<size_t>>(0);
for (size_t stream = 0; stream < num_streams; ++stream)
{
pipes.emplace_back(std::make_shared<MemorySource>(column_names, *this, metadata_snapshot, current_data, parallel_execution_index));
}
return Pipe::unitePipes(std::move(pipes));
}
BlockOutputStreamPtr StorageMemory::write(const ASTPtr & /*query*/, const StorageMetadataPtr & metadata_snapshot, const Context & /*context*/)
{
return std::make_shared<MemoryBlockOutputStream>(*this, metadata_snapshot);
}
void StorageMemory::drop()
{
data.set(std::make_unique<Blocks>());
total_size_bytes.store(0, std::memory_order_relaxed);
total_size_rows.store(0, std::memory_order_relaxed);
}
static inline void updateBlockData(Block & old_block, const Block & new_block)
{
for (const auto & it : new_block)
{
auto col_name = it.name;
auto & col_with_type_name = old_block.getByName(col_name);
col_with_type_name.column = it.column;
}
}
void StorageMemory::checkMutationIsPossible(const MutationCommands & /*commands*/, const Settings & /*settings*/) const
{
/// Some validation will be added
}
void StorageMemory::mutate(const MutationCommands & commands, const Context & context)
{
std::lock_guard lock(mutex);
auto metadata_snapshot = getInMemoryMetadataPtr();
auto storage = getStorageID();
auto storage_ptr = DatabaseCatalog::instance().getTable(storage, context);
auto interpreter = std::make_unique<MutationsInterpreter>(storage_ptr, metadata_snapshot, commands, context, true);
auto in = interpreter->execute();
in->readPrefix();
Blocks out;
while (Block block = in->read())
{
if (compress)
for (auto & elem : block)
elem.column = elem.column->compress();
out.push_back(block);
}
in->readSuffix();
std::unique_ptr<Blocks> new_data;
// all column affected
if (interpreter->isAffectingAllColumns())
{
new_data = std::make_unique<Blocks>(out);
}
else
{
/// just some of the column affected, we need update it with new column
new_data = std::make_unique<Blocks>(*(data.get()));
auto data_it = new_data->begin();
auto out_it = out.begin();
while (data_it != new_data->end())
{
/// Mutation does not change the number of blocks
assert(out_it != out.end());
updateBlockData(*data_it, *out_it);
++data_it;
++out_it;
}
assert(out_it == out.end());
}
size_t rows = 0;
size_t bytes = 0;
for (const auto & buffer : *new_data)
{
rows += buffer.rows();
bytes += buffer.bytes();
}
total_size_bytes.store(rows, std::memory_order_relaxed);
total_size_rows.store(bytes, std::memory_order_relaxed);
data.set(std::move(new_data));
}
void StorageMemory::truncate(
const ASTPtr &, const StorageMetadataPtr &, const Context &, TableExclusiveLockHolder &)
{
data.set(std::make_unique<Blocks>());
total_size_bytes.store(0, std::memory_order_relaxed);
total_size_rows.store(0, std::memory_order_relaxed);
}
std::optional<UInt64> StorageMemory::totalRows(const Settings &) const
{
/// All modifications of these counters are done under mutex which automatically guarantees synchronization/consistency
/// When run concurrently we are fine with any value: "before" or "after"
return total_size_rows.load(std::memory_order_relaxed);
}
std::optional<UInt64> StorageMemory::totalBytes(const Settings &) const
{
return total_size_bytes.load(std::memory_order_relaxed);
}
void registerStorageMemory(StorageFactory & factory)
{
factory.registerStorage("Memory", [](const StorageFactory::Arguments & args)
{
if (!args.engine_args.empty())
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
"Engine {} doesn't support any arguments ({} given)",
args.engine_name, args.engine_args.size());
bool has_settings = args.storage_def->settings;
MemorySettings settings;
if (has_settings)
settings.loadFromQuery(*args.storage_def);
return StorageMemory::create(args.table_id, args.columns, args.constraints, settings.compress);
},
{
.supports_settings = true,
.supports_parallel_insert = true,
});
}
}