| 1 | #include "duckdb/main/capi/capi_internal.hpp" |
| 2 | #include "duckdb/common/types/timestamp.hpp" |
| 3 | #include "duckdb/common/allocator.hpp" |
| 4 | |
| 5 | namespace duckdb { |
| 6 | |
| 7 | struct CBaseConverter { |
| 8 | template <class DST> |
| 9 | static void NullConvert(DST &target) { |
| 10 | } |
| 11 | }; |
| 12 | struct CStandardConverter : public CBaseConverter { |
| 13 | template <class SRC, class DST> |
| 14 | static DST Convert(SRC input) { |
| 15 | return input; |
| 16 | } |
| 17 | }; |
| 18 | |
| 19 | struct CStringConverter { |
| 20 | template <class SRC, class DST> |
| 21 | static DST Convert(SRC input) { |
| 22 | auto result = char_ptr_cast(duckdb_malloc(input.GetSize() + 1)); |
| 23 | assert(result); |
| 24 | memcpy((void *)result, input.GetData(), input.GetSize()); |
| 25 | auto write_arr = char_ptr_cast(result); |
| 26 | write_arr[input.GetSize()] = '\0'; |
| 27 | return result; |
| 28 | } |
| 29 | |
| 30 | template <class DST> |
| 31 | static void NullConvert(DST &target) { |
| 32 | target = nullptr; |
| 33 | } |
| 34 | }; |
| 35 | |
| 36 | struct CBlobConverter { |
| 37 | template <class SRC, class DST> |
| 38 | static DST Convert(SRC input) { |
| 39 | duckdb_blob result; |
| 40 | result.data = char_ptr_cast(duckdb_malloc(input.GetSize())); |
| 41 | result.size = input.GetSize(); |
| 42 | assert(result.data); |
| 43 | memcpy(result.data, input.GetData(), input.GetSize()); |
| 44 | return result; |
| 45 | } |
| 46 | |
| 47 | template <class DST> |
| 48 | static void NullConvert(DST &target) { |
| 49 | target.data = nullptr; |
| 50 | target.size = 0; |
| 51 | } |
| 52 | }; |
| 53 | |
| 54 | struct CTimestampMsConverter : public CBaseConverter { |
| 55 | template <class SRC, class DST> |
| 56 | static DST Convert(SRC input) { |
| 57 | return Timestamp::FromEpochMs(ms: input.value); |
| 58 | } |
| 59 | }; |
| 60 | |
| 61 | struct CTimestampNsConverter : public CBaseConverter { |
| 62 | template <class SRC, class DST> |
| 63 | static DST Convert(SRC input) { |
| 64 | return Timestamp::FromEpochNanoSeconds(micros: input.value); |
| 65 | } |
| 66 | }; |
| 67 | |
| 68 | struct CTimestampSecConverter : public CBaseConverter { |
| 69 | template <class SRC, class DST> |
| 70 | static DST Convert(SRC input) { |
| 71 | return Timestamp::FromEpochSeconds(ms: input.value); |
| 72 | } |
| 73 | }; |
| 74 | |
| 75 | struct CHugeintConverter : public CBaseConverter { |
| 76 | template <class SRC, class DST> |
| 77 | static DST Convert(SRC input) { |
| 78 | duckdb_hugeint result; |
| 79 | result.lower = input.lower; |
| 80 | result.upper = input.upper; |
| 81 | return result; |
| 82 | } |
| 83 | }; |
| 84 | |
| 85 | struct CIntervalConverter : public CBaseConverter { |
| 86 | template <class SRC, class DST> |
| 87 | static DST Convert(SRC input) { |
| 88 | duckdb_interval result; |
| 89 | result.days = input.days; |
| 90 | result.months = input.months; |
| 91 | result.micros = input.micros; |
| 92 | return result; |
| 93 | } |
| 94 | }; |
| 95 | |
| 96 | template <class T> |
| 97 | struct CDecimalConverter : public CBaseConverter { |
| 98 | template <class SRC, class DST> |
| 99 | static DST Convert(SRC input) { |
| 100 | duckdb_hugeint result; |
| 101 | result.lower = input; |
| 102 | result.upper = 0; |
| 103 | return result; |
| 104 | } |
| 105 | }; |
| 106 | |
| 107 | template <class SRC, class DST = SRC, class OP = CStandardConverter> |
| 108 | void WriteData(duckdb_column *column, ColumnDataCollection &source, const vector<column_t> &column_ids) { |
| 109 | idx_t row = 0; |
| 110 | auto target = (DST *)column->__deprecated_data; |
| 111 | for (auto &input : source.Chunks(column_ids)) { |
| 112 | auto source = FlatVector::GetData<SRC>(input.data[0]); |
| 113 | auto &mask = FlatVector::Validity(vector&: input.data[0]); |
| 114 | |
| 115 | for (idx_t k = 0; k < input.size(); k++, row++) { |
| 116 | if (!mask.RowIsValid(row_idx: k)) { |
| 117 | OP::template NullConvert<DST>(target[row]); |
| 118 | } else { |
| 119 | target[row] = OP::template Convert<SRC, DST>(source[k]); |
| 120 | } |
| 121 | } |
| 122 | } |
| 123 | } |
| 124 | |
| 125 | duckdb_state deprecated_duckdb_translate_column(MaterializedQueryResult &result, duckdb_column *column, idx_t col) { |
| 126 | D_ASSERT(!result.HasError()); |
| 127 | auto &collection = result.Collection(); |
| 128 | idx_t row_count = collection.Count(); |
| 129 | column->__deprecated_nullmask = (bool *)duckdb_malloc(size: sizeof(bool) * collection.Count()); |
| 130 | column->__deprecated_data = duckdb_malloc(size: GetCTypeSize(type: column->__deprecated_type) * row_count); |
| 131 | if (!column->__deprecated_nullmask || !column->__deprecated_data) { // LCOV_EXCL_START |
| 132 | // malloc failure |
| 133 | return DuckDBError; |
| 134 | } // LCOV_EXCL_STOP |
| 135 | |
| 136 | vector<column_t> column_ids {col}; |
| 137 | // first convert the nullmask |
| 138 | { |
| 139 | idx_t row = 0; |
| 140 | for (auto &input : collection.Chunks(column_ids)) { |
| 141 | for (idx_t k = 0; k < input.size(); k++) { |
| 142 | column->__deprecated_nullmask[row++] = FlatVector::IsNull(vector: input.data[0], idx: k); |
| 143 | } |
| 144 | } |
| 145 | } |
| 146 | // then write the data |
| 147 | switch (result.types[col].id()) { |
| 148 | case LogicalTypeId::BOOLEAN: |
| 149 | WriteData<bool>(column, source&: collection, column_ids); |
| 150 | break; |
| 151 | case LogicalTypeId::TINYINT: |
| 152 | WriteData<int8_t>(column, source&: collection, column_ids); |
| 153 | break; |
| 154 | case LogicalTypeId::SMALLINT: |
| 155 | WriteData<int16_t>(column, source&: collection, column_ids); |
| 156 | break; |
| 157 | case LogicalTypeId::INTEGER: |
| 158 | WriteData<int32_t>(column, source&: collection, column_ids); |
| 159 | break; |
| 160 | case LogicalTypeId::BIGINT: |
| 161 | WriteData<int64_t>(column, source&: collection, column_ids); |
| 162 | break; |
| 163 | case LogicalTypeId::UTINYINT: |
| 164 | WriteData<uint8_t>(column, source&: collection, column_ids); |
| 165 | break; |
| 166 | case LogicalTypeId::USMALLINT: |
| 167 | WriteData<uint16_t>(column, source&: collection, column_ids); |
| 168 | break; |
| 169 | case LogicalTypeId::UINTEGER: |
| 170 | WriteData<uint32_t>(column, source&: collection, column_ids); |
| 171 | break; |
| 172 | case LogicalTypeId::UBIGINT: |
| 173 | WriteData<uint64_t>(column, source&: collection, column_ids); |
| 174 | break; |
| 175 | case LogicalTypeId::FLOAT: |
| 176 | WriteData<float>(column, source&: collection, column_ids); |
| 177 | break; |
| 178 | case LogicalTypeId::DOUBLE: |
| 179 | WriteData<double>(column, source&: collection, column_ids); |
| 180 | break; |
| 181 | case LogicalTypeId::DATE: |
| 182 | WriteData<date_t>(column, source&: collection, column_ids); |
| 183 | break; |
| 184 | case LogicalTypeId::TIME: |
| 185 | case LogicalTypeId::TIME_TZ: |
| 186 | WriteData<dtime_t>(column, source&: collection, column_ids); |
| 187 | break; |
| 188 | case LogicalTypeId::TIMESTAMP: |
| 189 | case LogicalTypeId::TIMESTAMP_TZ: |
| 190 | WriteData<timestamp_t>(column, source&: collection, column_ids); |
| 191 | break; |
| 192 | case LogicalTypeId::VARCHAR: { |
| 193 | WriteData<string_t, const char *, CStringConverter>(column, source&: collection, column_ids); |
| 194 | break; |
| 195 | } |
| 196 | case LogicalTypeId::BLOB: { |
| 197 | WriteData<string_t, duckdb_blob, CBlobConverter>(column, source&: collection, column_ids); |
| 198 | break; |
| 199 | } |
| 200 | case LogicalTypeId::TIMESTAMP_NS: { |
| 201 | WriteData<timestamp_t, timestamp_t, CTimestampNsConverter>(column, source&: collection, column_ids); |
| 202 | break; |
| 203 | } |
| 204 | case LogicalTypeId::TIMESTAMP_MS: { |
| 205 | WriteData<timestamp_t, timestamp_t, CTimestampMsConverter>(column, source&: collection, column_ids); |
| 206 | break; |
| 207 | } |
| 208 | case LogicalTypeId::TIMESTAMP_SEC: { |
| 209 | WriteData<timestamp_t, timestamp_t, CTimestampSecConverter>(column, source&: collection, column_ids); |
| 210 | break; |
| 211 | } |
| 212 | case LogicalTypeId::HUGEINT: { |
| 213 | WriteData<hugeint_t, duckdb_hugeint, CHugeintConverter>(column, source&: collection, column_ids); |
| 214 | break; |
| 215 | } |
| 216 | case LogicalTypeId::INTERVAL: { |
| 217 | WriteData<interval_t, duckdb_interval, CIntervalConverter>(column, source&: collection, column_ids); |
| 218 | break; |
| 219 | } |
| 220 | case LogicalTypeId::DECIMAL: { |
| 221 | // get data |
| 222 | switch (result.types[col].InternalType()) { |
| 223 | case PhysicalType::INT16: { |
| 224 | WriteData<int16_t, duckdb_hugeint, CDecimalConverter<int16_t>>(column, source&: collection, column_ids); |
| 225 | break; |
| 226 | } |
| 227 | case PhysicalType::INT32: { |
| 228 | WriteData<int32_t, duckdb_hugeint, CDecimalConverter<int32_t>>(column, source&: collection, column_ids); |
| 229 | break; |
| 230 | } |
| 231 | case PhysicalType::INT64: { |
| 232 | WriteData<int64_t, duckdb_hugeint, CDecimalConverter<int64_t>>(column, source&: collection, column_ids); |
| 233 | break; |
| 234 | } |
| 235 | case PhysicalType::INT128: { |
| 236 | WriteData<hugeint_t, duckdb_hugeint, CHugeintConverter>(column, source&: collection, column_ids); |
| 237 | break; |
| 238 | } |
| 239 | default: |
| 240 | throw std::runtime_error("Unsupported physical type for Decimal" + |
| 241 | TypeIdToString(type: result.types[col].InternalType())); |
| 242 | } |
| 243 | break; |
| 244 | } |
| 245 | default: // LCOV_EXCL_START |
| 246 | return DuckDBError; |
| 247 | } // LCOV_EXCL_STOP |
| 248 | return DuckDBSuccess; |
| 249 | } |
| 250 | |
| 251 | duckdb_state duckdb_translate_result(unique_ptr<QueryResult> result_p, duckdb_result *out) { |
| 252 | auto &result = *result_p; |
| 253 | D_ASSERT(result_p); |
| 254 | if (!out) { |
| 255 | // no result to write to, only return the status |
| 256 | return !result.HasError() ? DuckDBSuccess : DuckDBError; |
| 257 | } |
| 258 | |
| 259 | memset(s: out, c: 0, n: sizeof(duckdb_result)); |
| 260 | |
| 261 | // initialize the result_data object |
| 262 | auto result_data = new DuckDBResultData(); |
| 263 | result_data->result = std::move(result_p); |
| 264 | result_data->result_set_type = CAPIResultSetType::CAPI_RESULT_TYPE_NONE; |
| 265 | out->internal_data = result_data; |
| 266 | |
| 267 | if (result.HasError()) { |
| 268 | // write the error message |
| 269 | out->__deprecated_error_message = (char *)result.GetError().c_str(); // NOLINT |
| 270 | return DuckDBError; |
| 271 | } |
| 272 | // copy the data |
| 273 | // first write the meta data |
| 274 | out->__deprecated_column_count = result.ColumnCount(); |
| 275 | out->__deprecated_rows_changed = 0; |
| 276 | return DuckDBSuccess; |
| 277 | } |
| 278 | |
| 279 | bool deprecated_materialize_result(duckdb_result *result) { |
| 280 | if (!result) { |
| 281 | return false; |
| 282 | } |
| 283 | auto result_data = reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data); |
| 284 | if (result_data->result->HasError()) { |
| 285 | return false; |
| 286 | } |
| 287 | if (result_data->result_set_type == CAPIResultSetType::CAPI_RESULT_TYPE_DEPRECATED) { |
| 288 | // already materialized into deprecated result format |
| 289 | return true; |
| 290 | } |
| 291 | if (result_data->result_set_type == CAPIResultSetType::CAPI_RESULT_TYPE_MATERIALIZED) { |
| 292 | // already used as a new result set |
| 293 | return false; |
| 294 | } |
| 295 | if (result_data->result_set_type == CAPIResultSetType::CAPI_RESULT_TYPE_STREAMING) { |
| 296 | // already used as a streaming result |
| 297 | return false; |
| 298 | } |
| 299 | // materialize as deprecated result set |
| 300 | result_data->result_set_type = CAPIResultSetType::CAPI_RESULT_TYPE_DEPRECATED; |
| 301 | auto column_count = result_data->result->ColumnCount(); |
| 302 | result->__deprecated_columns = (duckdb_column *)duckdb_malloc(size: sizeof(duckdb_column) * column_count); |
| 303 | if (!result->__deprecated_columns) { // LCOV_EXCL_START |
| 304 | // malloc failure |
| 305 | return DuckDBError; |
| 306 | } // LCOV_EXCL_STOP |
| 307 | if (result_data->result->type == QueryResultType::STREAM_RESULT) { |
| 308 | // if we are dealing with a stream result, convert it to a materialized result first |
| 309 | auto &stream_result = (StreamQueryResult &)*result_data->result; |
| 310 | result_data->result = stream_result.Materialize(); |
| 311 | } |
| 312 | D_ASSERT(result_data->result->type == QueryResultType::MATERIALIZED_RESULT); |
| 313 | auto &materialized = reinterpret_cast<MaterializedQueryResult &>(*result_data->result); |
| 314 | |
| 315 | // convert the result to a materialized result |
| 316 | // zero initialize the columns (so we can cleanly delete it in case a malloc fails) |
| 317 | memset(s: result->__deprecated_columns, c: 0, n: sizeof(duckdb_column) * column_count); |
| 318 | for (idx_t i = 0; i < column_count; i++) { |
| 319 | result->__deprecated_columns[i].__deprecated_type = ConvertCPPTypeToC(sql_type: result_data->result->types[i]); |
| 320 | result->__deprecated_columns[i].__deprecated_name = (char *)result_data->result->names[i].c_str(); // NOLINT |
| 321 | } |
| 322 | result->__deprecated_row_count = materialized.RowCount(); |
| 323 | if (result->__deprecated_row_count > 0 && |
| 324 | materialized.properties.return_type == StatementReturnType::CHANGED_ROWS) { |
| 325 | // update total changes |
| 326 | auto row_changes = materialized.GetValue(column: 0, index: 0); |
| 327 | if (!row_changes.IsNull() && row_changes.DefaultTryCastAs(target_type: LogicalType::BIGINT)) { |
| 328 | result->__deprecated_rows_changed = row_changes.GetValue<int64_t>(); |
| 329 | } |
| 330 | } |
| 331 | // now write the data |
| 332 | for (idx_t col = 0; col < column_count; col++) { |
| 333 | auto state = deprecated_duckdb_translate_column(result&: materialized, column: &result->__deprecated_columns[col], col); |
| 334 | if (state != DuckDBSuccess) { |
| 335 | return false; |
| 336 | } |
| 337 | } |
| 338 | return true; |
| 339 | } |
| 340 | |
| 341 | } // namespace duckdb |
| 342 | |
| 343 | static void DuckdbDestroyColumn(duckdb_column column, idx_t count) { |
| 344 | if (column.__deprecated_data) { |
| 345 | if (column.__deprecated_type == DUCKDB_TYPE_VARCHAR) { |
| 346 | // varchar, delete individual strings |
| 347 | auto data = reinterpret_cast<char **>(column.__deprecated_data); |
| 348 | for (idx_t i = 0; i < count; i++) { |
| 349 | if (data[i]) { |
| 350 | duckdb_free(ptr: data[i]); |
| 351 | } |
| 352 | } |
| 353 | } else if (column.__deprecated_type == DUCKDB_TYPE_BLOB) { |
| 354 | // blob, delete individual blobs |
| 355 | auto data = reinterpret_cast<duckdb_blob *>(column.__deprecated_data); |
| 356 | for (idx_t i = 0; i < count; i++) { |
| 357 | if (data[i].data) { |
| 358 | duckdb_free(ptr: (void *)data[i].data); |
| 359 | } |
| 360 | } |
| 361 | } |
| 362 | duckdb_free(ptr: column.__deprecated_data); |
| 363 | } |
| 364 | if (column.__deprecated_nullmask) { |
| 365 | duckdb_free(ptr: column.__deprecated_nullmask); |
| 366 | } |
| 367 | } |
| 368 | |
| 369 | void duckdb_destroy_result(duckdb_result *result) { |
| 370 | if (result->__deprecated_columns) { |
| 371 | for (idx_t i = 0; i < result->__deprecated_column_count; i++) { |
| 372 | DuckdbDestroyColumn(column: result->__deprecated_columns[i], count: result->__deprecated_row_count); |
| 373 | } |
| 374 | duckdb_free(ptr: result->__deprecated_columns); |
| 375 | } |
| 376 | if (result->internal_data) { |
| 377 | auto result_data = reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data); |
| 378 | delete result_data; |
| 379 | } |
| 380 | memset(s: result, c: 0, n: sizeof(duckdb_result)); |
| 381 | } |
| 382 | |
| 383 | const char *duckdb_column_name(duckdb_result *result, idx_t col) { |
| 384 | if (!result || col >= duckdb_column_count(result)) { |
| 385 | return nullptr; |
| 386 | } |
| 387 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 388 | return result_data.result->names[col].c_str(); |
| 389 | } |
| 390 | |
| 391 | duckdb_type duckdb_column_type(duckdb_result *result, idx_t col) { |
| 392 | if (!result || col >= duckdb_column_count(result)) { |
| 393 | return DUCKDB_TYPE_INVALID; |
| 394 | } |
| 395 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 396 | return duckdb::ConvertCPPTypeToC(sql_type: result_data.result->types[col]); |
| 397 | } |
| 398 | |
| 399 | duckdb_logical_type duckdb_column_logical_type(duckdb_result *result, idx_t col) { |
| 400 | if (!result || col >= duckdb_column_count(result)) { |
| 401 | return nullptr; |
| 402 | } |
| 403 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 404 | return reinterpret_cast<duckdb_logical_type>(new duckdb::LogicalType(result_data.result->types[col])); |
| 405 | } |
| 406 | |
| 407 | idx_t duckdb_column_count(duckdb_result *result) { |
| 408 | if (!result) { |
| 409 | return 0; |
| 410 | } |
| 411 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 412 | return result_data.result->ColumnCount(); |
| 413 | } |
| 414 | |
| 415 | idx_t duckdb_row_count(duckdb_result *result) { |
| 416 | if (!result) { |
| 417 | return 0; |
| 418 | } |
| 419 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 420 | if (result_data.result->type == duckdb::QueryResultType::STREAM_RESULT) { |
| 421 | // We can't know the row count beforehand |
| 422 | return 0; |
| 423 | } |
| 424 | auto &materialized = reinterpret_cast<duckdb::MaterializedQueryResult &>(*result_data.result); |
| 425 | return materialized.RowCount(); |
| 426 | } |
| 427 | |
| 428 | idx_t duckdb_rows_changed(duckdb_result *result) { |
| 429 | if (!result) { |
| 430 | return 0; |
| 431 | } |
| 432 | if (!duckdb::deprecated_materialize_result(result)) { |
| 433 | return 0; |
| 434 | } |
| 435 | return result->__deprecated_rows_changed; |
| 436 | } |
| 437 | |
| 438 | void *duckdb_column_data(duckdb_result *result, idx_t col) { |
| 439 | if (!result || col >= result->__deprecated_column_count) { |
| 440 | return nullptr; |
| 441 | } |
| 442 | if (!duckdb::deprecated_materialize_result(result)) { |
| 443 | return nullptr; |
| 444 | } |
| 445 | return result->__deprecated_columns[col].__deprecated_data; |
| 446 | } |
| 447 | |
| 448 | bool *duckdb_nullmask_data(duckdb_result *result, idx_t col) { |
| 449 | if (!result || col >= result->__deprecated_column_count) { |
| 450 | return nullptr; |
| 451 | } |
| 452 | if (!duckdb::deprecated_materialize_result(result)) { |
| 453 | return nullptr; |
| 454 | } |
| 455 | return result->__deprecated_columns[col].__deprecated_nullmask; |
| 456 | } |
| 457 | |
| 458 | const char *duckdb_result_error(duckdb_result *result) { |
| 459 | if (!result) { |
| 460 | return nullptr; |
| 461 | } |
| 462 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result->internal_data)); |
| 463 | return !result_data.result->HasError() ? nullptr : result_data.result->GetError().c_str(); |
| 464 | } |
| 465 | |
| 466 | idx_t duckdb_result_chunk_count(duckdb_result result) { |
| 467 | if (!result.internal_data) { |
| 468 | return 0; |
| 469 | } |
| 470 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result.internal_data)); |
| 471 | if (result_data.result_set_type == duckdb::CAPIResultSetType::CAPI_RESULT_TYPE_DEPRECATED) { |
| 472 | return 0; |
| 473 | } |
| 474 | if (result_data.result->type != duckdb::QueryResultType::MATERIALIZED_RESULT) { |
| 475 | // Can't know beforehand how many chunks are returned. |
| 476 | return 0; |
| 477 | } |
| 478 | auto &materialized = reinterpret_cast<duckdb::MaterializedQueryResult &>(*result_data.result); |
| 479 | return materialized.Collection().ChunkCount(); |
| 480 | } |
| 481 | |
| 482 | duckdb_data_chunk duckdb_result_get_chunk(duckdb_result result, idx_t chunk_idx) { |
| 483 | if (!result.internal_data) { |
| 484 | return nullptr; |
| 485 | } |
| 486 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result.internal_data)); |
| 487 | if (result_data.result_set_type == duckdb::CAPIResultSetType::CAPI_RESULT_TYPE_DEPRECATED) { |
| 488 | return nullptr; |
| 489 | } |
| 490 | if (result_data.result->type != duckdb::QueryResultType::MATERIALIZED_RESULT) { |
| 491 | // This API is only supported for materialized query results |
| 492 | return nullptr; |
| 493 | } |
| 494 | result_data.result_set_type = duckdb::CAPIResultSetType::CAPI_RESULT_TYPE_MATERIALIZED; |
| 495 | auto &materialized = reinterpret_cast<duckdb::MaterializedQueryResult &>(*result_data.result); |
| 496 | auto &collection = materialized.Collection(); |
| 497 | if (chunk_idx >= collection.ChunkCount()) { |
| 498 | return nullptr; |
| 499 | } |
| 500 | auto chunk = duckdb::make_uniq<duckdb::DataChunk>(); |
| 501 | chunk->Initialize(allocator&: duckdb::Allocator::DefaultAllocator(), types: collection.Types()); |
| 502 | collection.FetchChunk(chunk_idx, result&: *chunk); |
| 503 | return reinterpret_cast<duckdb_data_chunk>(chunk.release()); |
| 504 | } |
| 505 | |
| 506 | bool duckdb_result_is_streaming(duckdb_result result) { |
| 507 | if (!result.internal_data) { |
| 508 | return false; |
| 509 | } |
| 510 | if (duckdb_result_error(result: &result) != nullptr) { |
| 511 | return false; |
| 512 | } |
| 513 | auto &result_data = *(reinterpret_cast<duckdb::DuckDBResultData *>(result.internal_data)); |
| 514 | return result_data.result->type == duckdb::QueryResultType::STREAM_RESULT; |
| 515 | } |
| 516 | |