| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| #include <utility> |
| |
| #include "ignite/odbc/log.h" |
| #include "ignite/odbc/odbc_error.h" |
| #include "ignite/odbc/query/column_metadata_query.h" |
| #include "ignite/odbc/sql_connection.h" |
| #include "ignite/odbc/type_traits.h" |
| |
| namespace { |
| |
| enum class result_column { |
| /** Catalog name. NULL if not applicable to the data source. */ |
| TABLE_CAT = 1, |
| |
| /** Schema name. NULL if not applicable to the data source. */ |
| TABLE_SCHEM, |
| |
| /** Table name. */ |
| TABLE_NAME, |
| |
| /** Column name. */ |
| COLUMN_NAME, |
| |
| /** SQL data type. */ |
| DATA_TYPE, |
| |
| /** Data source-dependent data type name. */ |
| TYPE_NAME, |
| |
| /** Column size. */ |
| COLUMN_SIZE, |
| |
| /** The length in bytes of data transferred on fetch. */ |
| BUFFER_LENGTH, |
| |
| /** The total number of significant digits to the right of the decimal point. */ |
| DECIMAL_DIGITS, |
| |
| /** Precision. */ |
| NUM_PREC_RADIX, |
| |
| /** Nullability of the data in column. */ |
| NULLABLE, |
| |
| /** A description of the column. */ |
| REMARKS |
| }; |
| |
| using namespace ignite; |
| |
| /** |
| * Convert data type to string. |
| * @param data_type Data type. |
| * @return String representation. |
| */ |
| std::string_view data_type_to_string(ignite_type data_type) { |
| switch (data_type) { |
| case ignite_type::BOOLEAN: return "BOOLEAN"; |
| case ignite_type::INT8: return "TINYINT"; |
| case ignite_type::INT16: return "SMALLINT"; |
| case ignite_type::INT32: return "INTEGER"; |
| case ignite_type::INT64: return "BIGINT"; |
| case ignite_type::FLOAT: return "REAL"; |
| case ignite_type::DOUBLE: return "DOUBLE"; |
| case ignite_type::STRING: return "VARCHAR"; |
| case ignite_type::BYTE_ARRAY: return "VARBINARY"; |
| case ignite_type::TIME: return "TIME"; |
| case ignite_type::DATETIME: return "TIMESTAMP"; |
| case ignite_type::TIMESTAMP: return "TIMESTAMP WITH LOCAL TIME ZONE"; |
| case ignite_type::DATE: return "DATE"; |
| case ignite_type::DECIMAL: return "DECIMAL"; |
| case ignite_type::NIL: return "NULL"; |
| case ignite_type::UUID: return "UUID"; |
| default: |
| return "OTHER"; |
| } |
| } |
| |
| /** |
| * Reads result set metadata. |
| * |
| * @param reader Reader. |
| * @return Result set meta columns. |
| */ |
| std::vector<odbc_column_meta> read_column_meta(protocol::reader &reader) { |
| auto size = reader.read_int32(); |
| |
| std::vector<odbc_column_meta> columns; |
| columns.reserve(size); |
| |
| for (std::int32_t column_idx = 0; column_idx < size; ++column_idx) { |
| auto status = reader.read_int32(); |
| assert(status == 0); |
| |
| auto err_msg = reader.read_string_nullable(); |
| assert(!err_msg); |
| |
| odbc_column_meta column{}; |
| column.label = reader.read_string(); |
| column.schema = reader.read_string_nullable(); |
| column.table = reader.read_string_nullable(); |
| column.column = reader.read_string_nullable(); |
| |
| column.data_type = ignite_type(reader.read_int32()); |
| column.nullable = reader.read_bool(); |
| column.precision = reader.read_int32(); |
| column.scale = reader.read_int32(); |
| |
| columns.emplace_back(std::move(column)); |
| } |
| |
| return columns; |
| } |
| |
| } // anonymous namespace |
| |
| namespace ignite { |
| |
| column_metadata_query::column_metadata_query( |
| diagnosable_adapter &diag, sql_connection &connection, std::string schema, std::string table, std::string column) |
| : query(diag, query_type::COLUMN_METADATA) |
| , m_connection(connection) |
| , m_schema(std::move(schema)) |
| , m_table(std::move(table)) |
| , m_column(std::move(column)) { |
| m_columns_meta.reserve(12); |
| |
| const std::string sch; |
| const std::string tbl; |
| |
| m_columns_meta.emplace_back(sch, tbl, "TABLE_CAT", ignite_type::STRING); |
| m_columns_meta.emplace_back(sch, tbl, "TABLE_SCHEM", ignite_type::STRING); |
| m_columns_meta.emplace_back(sch, tbl, "TABLE_NAME", ignite_type::STRING); |
| m_columns_meta.emplace_back(sch, tbl, "COLUMN_NAME", ignite_type::STRING); |
| m_columns_meta.emplace_back(sch, tbl, "DATA_TYPE", ignite_type::INT16); |
| m_columns_meta.emplace_back(sch, tbl, "TYPE_NAME", ignite_type::STRING); |
| m_columns_meta.emplace_back(sch, tbl, "COLUMN_SIZE", ignite_type::INT32); |
| m_columns_meta.emplace_back(sch, tbl, "BUFFER_LENGTH", ignite_type::INT32); |
| m_columns_meta.emplace_back(sch, tbl, "DECIMAL_DIGITS", ignite_type::INT16); |
| m_columns_meta.emplace_back(sch, tbl, "NUM_PREC_RADIX", ignite_type::INT16); |
| m_columns_meta.emplace_back(sch, tbl, "NULLABLE", ignite_type::INT16); |
| m_columns_meta.emplace_back(sch, tbl, "REMARKS", ignite_type::STRING); |
| } |
| |
| sql_result column_metadata_query::execute() { |
| if (m_executed) |
| close(); |
| |
| sql_result result = make_request_get_columns_meta(); |
| |
| if (result == sql_result::AI_SUCCESS) { |
| m_executed = true; |
| m_fetched = false; |
| |
| m_cursor = m_meta.begin(); |
| } |
| |
| return result; |
| } |
| |
| sql_result column_metadata_query::fetch_next_row(column_binding_map &column_bindings) { |
| if (!m_executed) { |
| m_diag.add_status_record(sql_state::SHY010_SEQUENCE_ERROR, "Query was not executed."); |
| |
| return sql_result::AI_ERROR; |
| } |
| |
| if (!m_fetched) |
| m_fetched = true; |
| else |
| ++m_cursor; |
| |
| if (m_cursor == m_meta.end()) |
| return sql_result::AI_NO_DATA; |
| |
| for (auto &binding : column_bindings) |
| get_column(binding.first, binding.second); |
| |
| return sql_result::AI_SUCCESS; |
| } |
| |
| sql_result column_metadata_query::get_column(std::uint16_t column_idx, application_data_buffer &buffer) { |
| if (!m_executed) { |
| m_diag.add_status_record(sql_state::SHY010_SEQUENCE_ERROR, "Query was not executed."); |
| |
| return sql_result::AI_ERROR; |
| } |
| |
| if (m_cursor == m_meta.end()) { |
| m_diag.add_status_record(sql_state::S24000_INVALID_CURSOR_STATE, "Cursor has reached end of the result set."); |
| |
| return sql_result::AI_ERROR; |
| } |
| |
| const auto ¤t_column = *m_cursor; |
| switch (result_column(column_idx)) { |
| case result_column::TABLE_CAT: { |
| buffer.put_null(); |
| break; |
| } |
| |
| case result_column::TABLE_SCHEM: { |
| buffer.put_string(current_column.schema); |
| break; |
| } |
| |
| case result_column::TABLE_NAME: { |
| buffer.put_string(current_column.table); |
| break; |
| } |
| |
| case result_column::COLUMN_NAME: { |
| buffer.put_string(current_column.column); |
| break; |
| } |
| |
| case result_column::DATA_TYPE: { |
| buffer.put_int16(ignite_type_to_sql_type(current_column.data_type)); |
| break; |
| } |
| |
| case result_column::TYPE_NAME: { |
| buffer.put_string(std::string(data_type_to_string(current_column.data_type))); |
| break; |
| } |
| |
| case result_column::COLUMN_SIZE: { |
| if (current_column.data_type == ignite_type::DECIMAL) { |
| buffer.put_int16(std::int16_t(current_column.precision)); |
| break; |
| } |
| |
| std::int32_t column_size = ignite_type_max_column_size(current_column.data_type); |
| if (column_size < 0) |
| buffer.put_null(); |
| else |
| buffer.put_int32(column_size); |
| break; |
| } |
| |
| case result_column::BUFFER_LENGTH: { |
| buffer.put_null(); |
| break; |
| } |
| |
| case result_column::DECIMAL_DIGITS: { |
| std::int32_t dec_digits = ignite_type_decimal_digits(current_column.data_type, current_column.scale); |
| if (dec_digits < 0) |
| buffer.put_null(); |
| else |
| buffer.put_int16(std::int16_t(dec_digits)); |
| break; |
| } |
| |
| case result_column::NUM_PREC_RADIX: { |
| auto radix = std::int16_t(ignite_type_num_precision_radix(current_column.data_type)); |
| if (radix) |
| buffer.put_int16(radix); |
| else |
| buffer.put_null(); |
| break; |
| } |
| |
| case result_column::NULLABLE: { |
| buffer.put_int16(std::int16_t(current_column.nullable ? SQL_NULLABLE : SQL_NO_NULLS)); |
| break; |
| } |
| |
| case result_column::REMARKS: { |
| buffer.put_string(current_column.label); |
| break; |
| } |
| |
| default: |
| break; |
| } |
| |
| return sql_result::AI_SUCCESS; |
| } |
| |
| sql_result column_metadata_query::close() { |
| m_meta.clear(); |
| |
| m_executed = false; |
| |
| return sql_result::AI_SUCCESS; |
| } |
| |
| sql_result column_metadata_query::make_request_get_columns_meta() { |
| auto success = m_diag.catch_errors([&] { |
| auto response = |
| m_connection.sync_request(protocol::client_operation::JDBC_COLUMN_META, [&](protocol::writer &writer) { |
| writer.write(m_schema); |
| writer.write(m_table); |
| writer.write(m_column); |
| }); |
| |
| protocol::reader reader{response.get_bytes_view()}; |
| |
| auto status = reader.read_int32(); |
| auto err_msg = reader.read_string_nullable(); |
| if (err_msg) |
| throw odbc_error(response_status_to_sql_state(status), *err_msg); |
| |
| m_meta = read_column_meta(reader); |
| |
| m_executed = true; |
| }); |
| |
| if (!success) |
| return sql_result::AI_ERROR; |
| |
| size_t i = 0; |
| for (const auto &meta : m_meta) { |
| LOG_MSG("\n[" << i << "] SchemaName: " << (meta.schema ? *meta.schema : "NULL") << "\n[" << i |
| << "] TableName: " << (meta.table ? *meta.table : "NULL") << "\n[" << i |
| << "] ColumnName: " << (meta.column ? *meta.column : "NULL") << "\n[" << i |
| << "] ColumnType: " << static_cast<std::int32_t>(meta.data_type)); |
| ++i; |
| } |
| |
| return sql_result::AI_SUCCESS; |
| } |
| |
| } // namespace ignite |