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113 lines
4.0 KiB
C++
113 lines
4.0 KiB
C++
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeNullable.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypeMap.h>
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#include <DataTypes/DataTypeLowCardinality.h>
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#include <Formats/ReadSchemaUtils.h>
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#include <Processors/Formats/ISchemaReader.h>
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#include <Common/assert_cast.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int CANNOT_EXTRACT_TABLE_STRUCTURE;
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extern const int BAD_ARGUMENTS;
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}
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ColumnsDescription readSchemaFromFormat(const String & format_name, const std::optional<FormatSettings> & format_settings, ReadBufferCreator read_buffer_creator, ContextPtr context)
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{
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NamesAndTypesList names_and_types;
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if (FormatFactory::instance().checkIfFormatHasExternalSchemaReader(format_name))
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{
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auto external_schema_reader = FormatFactory::instance().getExternalSchemaReader(format_name, context, format_settings);
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try
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{
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names_and_types = external_schema_reader->readSchema();
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}
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catch (const DB::Exception & e)
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{
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "Cannot extract table structure from {} format file. Error: {}", format_name, e.message());
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}
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}
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else if (FormatFactory::instance().checkIfFormatHasSchemaReader(format_name))
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{
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auto read_buf = read_buffer_creator();
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if (read_buf->eof())
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "Cannot extract table structure from {} format file, file is empty", format_name);
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auto schema_reader = FormatFactory::instance().getSchemaReader(format_name, *read_buf, context, format_settings);
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try
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{
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names_and_types = schema_reader->readSchema();
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}
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catch (const DB::Exception & e)
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{
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "Cannot extract table structure from {} format file. Error: {}", format_name, e.message());
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}
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}
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else
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "{} file format doesn't support schema inference", format_name);
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return ColumnsDescription(names_and_types);
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}
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DataTypePtr generalizeDataType(DataTypePtr type)
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{
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WhichDataType which(type);
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if (which.isNothing())
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return nullptr;
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if (which.isNullable())
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{
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const auto * nullable_type = assert_cast<const DataTypeNullable *>(type.get());
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return generalizeDataType(nullable_type->getNestedType());
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}
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if (isNumber(type))
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return makeNullable(std::make_shared<DataTypeFloat64>());
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if (which.isArray())
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{
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const auto * array_type = assert_cast<const DataTypeArray *>(type.get());
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auto nested_type = generalizeDataType(array_type->getNestedType());
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return nested_type ? std::make_shared<DataTypeArray>(nested_type) : nullptr;
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}
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if (which.isTuple())
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{
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const auto * tuple_type = assert_cast<const DataTypeTuple *>(type.get());
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DataTypes nested_types;
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for (const auto & element : tuple_type->getElements())
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{
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auto nested_type = generalizeDataType(element);
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if (!nested_type)
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return nullptr;
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nested_types.push_back(nested_type);
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}
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return std::make_shared<DataTypeTuple>(std::move(nested_types));
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}
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if (which.isMap())
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{
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const auto * map_type = assert_cast<const DataTypeMap *>(type.get());
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auto key_type = generalizeDataType(map_type->getKeyType());
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auto value_type = generalizeDataType(map_type->getValueType());
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return key_type && value_type ? std::make_shared<DataTypeMap>(key_type, value_type) : nullptr;
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}
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if (which.isLowCarnality())
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{
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const auto * lc_type = assert_cast<const DataTypeLowCardinality *>(type.get());
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auto nested_type = generalizeDataType(lc_type->getDictionaryType());
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return nested_type ? std::make_shared<DataTypeLowCardinality>(nested_type) : nullptr;
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}
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return makeNullable(type);
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}
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}
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