ClickHouse/src/Interpreters/DictionaryReader.h

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#pragma once
#include <Common/typeid_cast.h>
#include <Core/Block.h>
#include <DataTypes/DataTypeNullable.h>
#include <DataTypes/DataTypeString.h>
#include <DataTypes/DataTypesNumber.h>
#include <Columns/ColumnVector.h>
#include <Columns/ColumnString.h>
#include <Columns/ColumnConst.h>
#include <Interpreters/Context.h>
#include <Functions/FunctionFactory.h>
namespace DB
{
namespace ErrorCodes
{
extern const int NUMBER_OF_COLUMNS_DOESNT_MATCH;
extern const int TYPE_MISMATCH;
}
class DictionaryReader
{
public:
struct FunctionWrapper
{
ExecutableFunctionPtr function;
ColumnNumbers arg_positions;
size_t result_pos = 0;
FunctionWrapper(const IFunctionOverloadResolver & resolver, const ColumnsWithTypeAndName & arguments, Block & block,
const ColumnNumbers & arg_positions_, const String & column_name, TypeIndex expected_type)
: arg_positions(arg_positions_)
{
FunctionBasePtr prepare_function = resolver.build(arguments);
result_pos = block.columns();
ColumnWithTypeAndName result;
result.name = "get_" + column_name;
result.type = prepare_function->getReturnType();
if (result.type->getTypeId() != expected_type)
throw Exception("Type mismatch in dictionary reader for: " + column_name, ErrorCodes::TYPE_MISMATCH);
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block.insert(result);
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function = prepare_function->prepare(block, arg_positions, result_pos);
}
void execute(Block & block, size_t rows) const
{
function->execute(block, arg_positions, result_pos, rows, false);
}
};
DictionaryReader(const String & dictionary_name, const Names & src_column_names, const NamesAndTypesList & result_columns,
const Context & context, size_t key_size = 1)
: result_header(makeResultBlock(result_columns))
, key_position(key_size + result_header.columns())
{
if (src_column_names.size() != result_columns.size())
throw Exception("Columns number mismatch in dictionary reader", ErrorCodes::NUMBER_OF_COLUMNS_DOESNT_MATCH);
FunctionOverloadResolverPtr dict_has(FunctionFactory::instance().get("dictHas", context));
FunctionOverloadResolverPtr dict_get(FunctionFactory::instance().get("dictGet", context));
ColumnWithTypeAndName dict_name;
ColumnWithTypeAndName key;
ColumnWithTypeAndName column_name;
{
dict_name.name = "dict";
dict_name.type = std::make_shared<DataTypeString>();
dict_name.column = dict_name.type->createColumnConst(1, dictionary_name);
/// TODO: composite key (key_size > 1)
key.name = "key";
key.type = std::make_shared<DataTypeUInt64>();
column_name.name = "column";
column_name.type = std::make_shared<DataTypeString>();
}
/// dictHas('dict_name', id)
ColumnsWithTypeAndName arguments_has;
arguments_has.push_back(dict_name);
arguments_has.push_back(key);
/// dictGet('dict_name', 'attr_name', id)
ColumnsWithTypeAndName arguments_get;
arguments_get.push_back(dict_name);
arguments_get.push_back(column_name);
arguments_get.push_back(key);
sample_block.insert(dict_name);
for (auto & columns_name : src_column_names)
{
ColumnWithTypeAndName name;
name.name = "col_" + columns_name;
name.type = std::make_shared<DataTypeString>();
name.column = name.type->createColumnConst(1, columns_name);
sample_block.insert(name);
}
sample_block.insert(key);
ColumnNumbers positions_has{0, key_position};
function_has = std::make_unique<FunctionWrapper>(
*dict_has, arguments_has, sample_block, positions_has, "has", DataTypeUInt8().getTypeId());
functions_get.reserve(result_header.columns());
for (size_t i = 0; i < result_header.columns(); ++i)
{
size_t column_name_pos = key_size + i;
auto & column = result_header.getByPosition(i);
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arguments_get[1].column = DataTypeString().createColumnConst(1, src_column_names[i]);
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ColumnNumbers positions_get{0, column_name_pos, key_position};
functions_get.emplace_back(FunctionWrapper(
*dict_get, arguments_get, sample_block, positions_get, column.name, column.type->getTypeId()));
}
}
void readKeys(const IColumn & keys, size_t size, Block & out_block, ColumnVector<UInt8>::Container & found,
std::vector<size_t> & positions) const
{
Block working_block = sample_block;
size_t has_position = key_position + 1;
/// set keys for dictHas()
ColumnWithTypeAndName & key_column = working_block.getByPosition(key_position);
key_column.column = keys.cloneResized(size); /// just a copy we cannot avoid
/// calculate and extract dictHas()
function_has->execute(working_block, size);
ColumnWithTypeAndName & has_column = working_block.getByPosition(has_position);
auto mutable_has = (*std::move(has_column.column)).mutate();
found.swap(typeid_cast<ColumnVector<UInt8> &>(*mutable_has).getData());
has_column.column = nullptr;
/// set mapping form source keys to resulting rows in output block
positions.clear();
positions.resize(size, 0);
size_t pos = 0;
for (size_t i = 0; i < size; ++i)
if (found[i])
positions[i] = pos++;
/// set keys for dictGet(): remove not found keys
key_column.column = key_column.column->filter(found, -1);
size_t rows = key_column.column->size();
/// calculate dictGet()
for (auto & func : functions_get)
func.execute(working_block, rows);
/// make result: copy header block with correct names and move data columns
out_block = result_header.cloneEmpty();
size_t first_get_position = has_position + 1;
for (size_t i = 0; i < out_block.columns(); ++i)
{
auto & src_column = working_block.getByPosition(first_get_position + i);
auto & dst_column = out_block.getByPosition(i);
dst_column.column = src_column.column;
src_column.column = nullptr;
}
}
private:
Block result_header;
Block sample_block; /// dictionary name, column names, key, dictHas() result, dictGet() results
size_t key_position;
std::unique_ptr<FunctionWrapper> function_has;
std::vector<FunctionWrapper> functions_get;
static Block makeResultBlock(const NamesAndTypesList & names)
{
Block block;
for (auto & nm : names)
{
ColumnWithTypeAndName column{nullptr, nm.type, nm.name};
if (column.type->isNullable())
column.type = typeid_cast<const DataTypeNullable &>(*column.type).getNestedType();
block.insert(std::move(column));
}
return block;
}
};
}