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288 lines
11 KiB
C++
288 lines
11 KiB
C++
#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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#include <Interpreters/Context.h>
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#include <Storages/IStorage.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 EMPTY_DATA_PASSED;
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extern const int BAD_ARGUMENTS;
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extern const int ONLY_NULLS_WHILE_READING_SCHEMA;
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extern const int CANNOT_EXTRACT_TABLE_STRUCTURE;
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}
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static std::optional<NamesAndTypesList> getOrderedColumnsList(
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const NamesAndTypesList & columns_list, const Names & columns_order_hint)
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{
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if (columns_list.size() != columns_order_hint.size())
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return {};
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std::unordered_map<String, DataTypePtr> available_columns;
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for (const auto & [name, type] : columns_list)
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available_columns.emplace(name, type);
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NamesAndTypesList res;
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for (const auto & name : columns_order_hint)
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{
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auto it = available_columns.find(name);
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if (it == available_columns.end())
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return {};
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res.emplace_back(name, it->second);
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}
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return res;
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}
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bool isRetryableSchemaInferenceError(int code)
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{
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return code == ErrorCodes::EMPTY_DATA_PASSED || code == ErrorCodes::ONLY_NULLS_WHILE_READING_SCHEMA;
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}
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ColumnsDescription readSchemaFromFormat(
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const String & format_name,
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const std::optional<FormatSettings> & format_settings,
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ReadBufferIterator & read_buffer_iterator,
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bool retry,
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ContextPtr & context,
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std::unique_ptr<ReadBuffer> & buf)
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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 (Exception & e)
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{
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e.addMessage(fmt::format("Cannot extract table structure from {} format file. You can specify the structure manually", format_name));
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throw;
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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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std::string exception_messages;
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SchemaReaderPtr schema_reader;
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size_t max_rows_to_read = format_settings ? format_settings->max_rows_to_read_for_schema_inference : context->getSettingsRef().input_format_max_rows_to_read_for_schema_inference;
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size_t iterations = 0;
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ColumnsDescription cached_columns;
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while (true)
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{
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bool is_eof = false;
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try
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{
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buf = read_buffer_iterator(cached_columns);
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if (!buf)
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break;
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is_eof = buf->eof();
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}
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catch (Exception & e)
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{
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e.addMessage(fmt::format(
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"Cannot extract table structure from {} format file. You can specify the structure manually", format_name));
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throw;
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}
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catch (...)
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{
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auto exception_message = getCurrentExceptionMessage(false);
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throw Exception(
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ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE,
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"Cannot extract table structure from {} format file:\n{}\nYou can specify the structure manually",
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format_name,
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exception_message);
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}
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++iterations;
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if (is_eof)
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{
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auto exception_message = fmt::format("Cannot extract table structure from {} format file, file is empty", format_name);
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if (!retry)
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "{}. You can specify the structure manually", exception_message);
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exception_messages += "\n" + exception_message;
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continue;
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}
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try
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{
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schema_reader = FormatFactory::instance().getSchemaReader(format_name, *buf, context, format_settings);
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schema_reader->setMaxRowsToRead(max_rows_to_read);
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names_and_types = schema_reader->readSchema();
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break;
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}
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catch (...)
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{
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auto exception_message = getCurrentExceptionMessage(false);
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if (schema_reader)
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{
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size_t rows_read = schema_reader->getNumRowsRead();
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assert(rows_read <= max_rows_to_read);
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max_rows_to_read -= schema_reader->getNumRowsRead();
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if (rows_read != 0 && max_rows_to_read == 0)
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{
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exception_message += "\nTo increase the maximum number of rows to read for structure determination, use setting input_format_max_rows_to_read_for_schema_inference";
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if (iterations > 1)
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{
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exception_messages += "\n" + exception_message;
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break;
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}
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retry = false;
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}
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}
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if (!retry || !isRetryableSchemaInferenceError(getCurrentExceptionCode()))
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{
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try
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{
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throw;
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}
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catch (Exception & e)
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{
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e.addMessage(fmt::format("Cannot extract table structure from {} format file. You can specify the structure manually", format_name));
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throw;
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}
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catch (...)
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{
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "Cannot extract table structure from {} format file. Error: {}. You can specify the structure manually", format_name, exception_message);
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}
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}
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exception_messages += "\n" + exception_message;
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}
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}
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if (!cached_columns.empty())
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return cached_columns;
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if (names_and_types.empty())
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throw Exception(ErrorCodes::CANNOT_EXTRACT_TABLE_STRUCTURE, "All attempts to extract table structure from files failed. Errors:{}\nYou can specify the structure manually", exception_messages);
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/// If we have "INSERT SELECT" query then try to order
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/// columns as they are ordered in table schema for formats
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/// without strict column order (like JSON and TSKV).
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/// It will allow to execute simple data loading with query
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/// "INSERT INTO table SELECT * FROM ..."
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const auto & insertion_table = context->getInsertionTable();
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if (!schema_reader->hasStrictOrderOfColumns() && !insertion_table.empty())
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{
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auto storage = DatabaseCatalog::instance().getTable(insertion_table, context);
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auto metadata = storage->getInMemoryMetadataPtr();
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auto names_in_storage = metadata->getColumns().getNamesOfPhysical();
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auto ordered_list = getOrderedColumnsList(names_and_types, names_in_storage);
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if (ordered_list)
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names_and_types = *ordered_list;
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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. You must specify the structure manually", format_name);
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return ColumnsDescription(names_and_types);
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}
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ColumnsDescription readSchemaFromFormat(const String & format_name, const std::optional<FormatSettings> & format_settings, ReadBufferIterator & read_buffer_iterator, bool retry, ContextPtr & context)
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{
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std::unique_ptr<ReadBuffer> buf_out;
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return readSchemaFromFormat(format_name, format_settings, read_buffer_iterator, retry, context, buf_out);
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}
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DataTypePtr makeNullableRecursivelyAndCheckForNothing(DataTypePtr type)
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{
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if (!type)
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return nullptr;
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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 makeNullableRecursivelyAndCheckForNothing(nullable_type->getNestedType());
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}
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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 = makeNullableRecursivelyAndCheckForNothing(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 = makeNullableRecursivelyAndCheckForNothing(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 = makeNullableRecursivelyAndCheckForNothing(map_type->getKeyType());
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auto value_type = makeNullableRecursivelyAndCheckForNothing(map_type->getValueType());
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return key_type && value_type ? std::make_shared<DataTypeMap>(removeNullable(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 = makeNullableRecursivelyAndCheckForNothing(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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NamesAndTypesList getNamesAndRecursivelyNullableTypes(const Block & header)
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{
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NamesAndTypesList result;
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for (auto & [name, type] : header.getNamesAndTypesList())
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result.emplace_back(name, makeNullableRecursivelyAndCheckForNothing(type));
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return result;
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}
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SchemaCache::Key getKeyForSchemaCache(const String & source, const String & format, const std::optional<FormatSettings> & format_settings, const ContextPtr & context)
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{
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return getKeysForSchemaCache({source}, format, format_settings, context).front();
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}
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static SchemaCache::Key makeSchemaCacheKey(const String & source, const String & format, const String & additional_format_info)
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{
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return SchemaCache::Key{source, format, additional_format_info};
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}
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SchemaCache::Keys getKeysForSchemaCache(const Strings & sources, const String & format, const std::optional<FormatSettings> & format_settings, const ContextPtr & context)
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{
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/// For some formats data schema depends on some settings, so it's possible that
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/// two queries to the same source will get two different schemas. To process this
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/// case we add some additional information specific for the format to the cache key.
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/// For example, for Protobuf format additional information is the path to the schema
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/// and message name.
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String additional_format_info = FormatFactory::instance().getAdditionalInfoForSchemaCache(format, context, format_settings);
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SchemaCache::Keys cache_keys;
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cache_keys.reserve(sources.size());
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std::transform(sources.begin(), sources.end(), std::back_inserter(cache_keys), [&](const auto & source){ return makeSchemaCacheKey(source, format, additional_format_info); });
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return cache_keys;
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}
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}
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