| 1 | #include <Columns/ColumnAggregateFunction.h> |
| 2 | #include <Columns/ColumnsCommon.h> |
| 3 | #include <Common/assert_cast.h> |
| 4 | #include <AggregateFunctions/AggregateFunctionState.h> |
| 5 | #include <DataStreams/ColumnGathererStream.h> |
| 6 | #include <IO/WriteBufferFromArena.h> |
| 7 | #include <IO/WriteBufferFromString.h> |
| 8 | #include <IO/Operators.h> |
| 9 | #include <Common/SipHash.h> |
| 10 | #include <Common/AlignedBuffer.h> |
| 11 | #include <Common/typeid_cast.h> |
| 12 | #include <Common/Arena.h> |
| 13 | |
| 14 | #include <AggregateFunctions/AggregateFunctionMLMethod.h> |
| 15 | |
| 16 | namespace DB |
| 17 | { |
| 18 | |
| 19 | namespace ErrorCodes |
| 20 | { |
| 21 | extern const int PARAMETER_OUT_OF_BOUND; |
| 22 | extern const int SIZES_OF_COLUMNS_DOESNT_MATCH; |
| 23 | extern const int ILLEGAL_TYPE_OF_ARGUMENT; |
| 24 | } |
| 25 | |
| 26 | |
| 27 | ColumnAggregateFunction::~ColumnAggregateFunction() |
| 28 | { |
| 29 | if (!func->hasTrivialDestructor() && !src) |
| 30 | for (auto val : data) |
| 31 | func->destroy(val); |
| 32 | } |
| 33 | |
| 34 | void ColumnAggregateFunction::addArena(ConstArenaPtr arena_) |
| 35 | { |
| 36 | foreign_arenas.push_back(arena_); |
| 37 | } |
| 38 | |
| 39 | MutableColumnPtr ColumnAggregateFunction::convertToValues() const |
| 40 | { |
| 41 | /** If the aggregate function returns an unfinalized/unfinished state, |
| 42 | * then you just need to copy pointers to it and also shared ownership of data. |
| 43 | * |
| 44 | * Also replace the aggregate function with the nested function. |
| 45 | * That is, if this column is the states of the aggregate function `aggState`, |
| 46 | * then we return the same column, but with the states of the aggregate function `agg`. |
| 47 | * These are the same states, changing only the function to which they correspond. |
| 48 | * |
| 49 | * Further is quite difficult to understand. |
| 50 | * Example when this happens: |
| 51 | * |
| 52 | * SELECT k, finalizeAggregation(quantileTimingState(0.5)(x)) FROM ... GROUP BY k WITH TOTALS |
| 53 | * |
| 54 | * This calculates the aggregate function `quantileTimingState`. |
| 55 | * Its return type AggregateFunction(quantileTiming(0.5), UInt64)`. |
| 56 | * Due to the presence of WITH TOTALS, during aggregation the states of this aggregate function will be stored |
| 57 | * in the ColumnAggregateFunction column of type |
| 58 | * AggregateFunction(quantileTimingState(0.5), UInt64). |
| 59 | * Then, in `TotalsHavingBlockInputStream`, it will be called `convertToValues` method, |
| 60 | * to get the "ready" values. |
| 61 | * But it just converts a column of type |
| 62 | * `AggregateFunction(quantileTimingState(0.5), UInt64)` |
| 63 | * into `AggregateFunction(quantileTiming(0.5), UInt64)` |
| 64 | * - in the same states. |
| 65 | * |
| 66 | * Then `finalizeAggregation` function will be calculated, which will call `convertToValues` already on the result. |
| 67 | * And this converts a column of type |
| 68 | * AggregateFunction(quantileTiming(0.5), UInt64) |
| 69 | * into UInt16 - already finished result of `quantileTiming`. |
| 70 | */ |
| 71 | if (const AggregateFunctionState *function_state = typeid_cast<const AggregateFunctionState *>(func.get())) |
| 72 | { |
| 73 | auto res = createView(); |
| 74 | res->set(function_state->getNestedFunction()); |
| 75 | res->data.assign(data.begin(), data.end()); |
| 76 | return res; |
| 77 | } |
| 78 | |
| 79 | MutableColumnPtr res = func->getReturnType()->createColumn(); |
| 80 | res->reserve(data.size()); |
| 81 | |
| 82 | for (auto val : data) |
| 83 | func->insertResultInto(val, *res); |
| 84 | |
| 85 | return res; |
| 86 | } |
| 87 | |
| 88 | MutableColumnPtr ColumnAggregateFunction::predictValues(Block & block, const ColumnNumbers & arguments, const Context & context) const |
| 89 | { |
| 90 | MutableColumnPtr res = func->getReturnTypeToPredict()->createColumn(); |
| 91 | res->reserve(data.size()); |
| 92 | |
| 93 | auto ML_function = func.get(); |
| 94 | if (ML_function) |
| 95 | { |
| 96 | if (data.size() == 1) |
| 97 | { |
| 98 | /// Case for const column. Predict using single model. |
| 99 | ML_function->predictValues(data[0], *res, block, 0, block.rows(), arguments, context); |
| 100 | } |
| 101 | else |
| 102 | { |
| 103 | /// Case for non-constant column. Use different aggregate function for each row. |
| 104 | size_t row_num = 0; |
| 105 | for (auto val : data) |
| 106 | { |
| 107 | ML_function->predictValues(val, *res, block, row_num, 1, arguments, context); |
| 108 | ++row_num; |
| 109 | } |
| 110 | } |
| 111 | } |
| 112 | else |
| 113 | { |
| 114 | throw Exception("Illegal aggregate function is passed" , |
| 115 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 116 | } |
| 117 | return res; |
| 118 | } |
| 119 | |
| 120 | void ColumnAggregateFunction::ensureOwnership() |
| 121 | { |
| 122 | if (src) |
| 123 | { |
| 124 | /// We must copy all data from src and take ownership. |
| 125 | size_t size = data.size(); |
| 126 | |
| 127 | Arena & arena = createOrGetArena(); |
| 128 | size_t size_of_state = func->sizeOfData(); |
| 129 | size_t align_of_state = func->alignOfData(); |
| 130 | |
| 131 | size_t rollback_pos = 0; |
| 132 | try |
| 133 | { |
| 134 | for (size_t i = 0; i < size; ++i) |
| 135 | { |
| 136 | ConstAggregateDataPtr old_place = data[i]; |
| 137 | data[i] = arena.alignedAlloc(size_of_state, align_of_state); |
| 138 | func->create(data[i]); |
| 139 | ++rollback_pos; |
| 140 | func->merge(data[i], old_place, &arena); |
| 141 | } |
| 142 | } |
| 143 | catch (...) |
| 144 | { |
| 145 | /// If we failed to take ownership, destroy all temporary data. |
| 146 | |
| 147 | if (!func->hasTrivialDestructor()) |
| 148 | for (size_t i = 0; i < rollback_pos; ++i) |
| 149 | func->destroy(data[i]); |
| 150 | |
| 151 | throw; |
| 152 | } |
| 153 | |
| 154 | /// Now we own all data. |
| 155 | src.reset(); |
| 156 | } |
| 157 | } |
| 158 | |
| 159 | |
| 160 | void ColumnAggregateFunction::insertRangeFrom(const IColumn & from, size_t start, size_t length) |
| 161 | { |
| 162 | const ColumnAggregateFunction & from_concrete = assert_cast<const ColumnAggregateFunction &>(from); |
| 163 | |
| 164 | if (start + length > from_concrete.data.size()) |
| 165 | throw Exception("Parameters start = " + toString(start) + ", length = " + toString(length) |
| 166 | + " are out of bound in ColumnAggregateFunction::insertRangeFrom method" |
| 167 | " (data.size() = " |
| 168 | + toString(from_concrete.data.size()) |
| 169 | + ")." , |
| 170 | ErrorCodes::PARAMETER_OUT_OF_BOUND); |
| 171 | |
| 172 | if (!empty() && src.get() != &from_concrete) |
| 173 | { |
| 174 | /// Must create new states of aggregate function and take ownership of it, |
| 175 | /// because ownership of states of aggregate function cannot be shared for individual rows, |
| 176 | /// (only as a whole). |
| 177 | |
| 178 | size_t end = start + length; |
| 179 | for (size_t i = start; i < end; ++i) |
| 180 | insertFrom(from, i); |
| 181 | } |
| 182 | else |
| 183 | { |
| 184 | /// Keep shared ownership of aggregation states. |
| 185 | src = from_concrete.getPtr(); |
| 186 | |
| 187 | size_t old_size = data.size(); |
| 188 | data.resize(old_size + length); |
| 189 | memcpy(data.data() + old_size, &from_concrete.data[start], length * sizeof(data[0])); |
| 190 | } |
| 191 | } |
| 192 | |
| 193 | |
| 194 | ColumnPtr ColumnAggregateFunction::filter(const Filter & filter, ssize_t result_size_hint) const |
| 195 | { |
| 196 | size_t size = data.size(); |
| 197 | if (size != filter.size()) |
| 198 | throw Exception("Size of filter doesn't match size of column." , ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH); |
| 199 | |
| 200 | if (size == 0) |
| 201 | return cloneEmpty(); |
| 202 | |
| 203 | auto res = createView(); |
| 204 | auto & res_data = res->data; |
| 205 | |
| 206 | if (result_size_hint) |
| 207 | res_data.reserve(result_size_hint > 0 ? result_size_hint : size); |
| 208 | |
| 209 | for (size_t i = 0; i < size; ++i) |
| 210 | if (filter[i]) |
| 211 | res_data.push_back(data[i]); |
| 212 | |
| 213 | /// To save RAM in case of too strong filtering. |
| 214 | if (res_data.size() * 2 < res_data.capacity()) |
| 215 | res_data = Container(res_data.cbegin(), res_data.cend()); |
| 216 | |
| 217 | return res; |
| 218 | } |
| 219 | |
| 220 | |
| 221 | ColumnPtr ColumnAggregateFunction::permute(const Permutation & perm, size_t limit) const |
| 222 | { |
| 223 | size_t size = data.size(); |
| 224 | |
| 225 | if (limit == 0) |
| 226 | limit = size; |
| 227 | else |
| 228 | limit = std::min(size, limit); |
| 229 | |
| 230 | if (perm.size() < limit) |
| 231 | throw Exception("Size of permutation is less than required." , ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH); |
| 232 | |
| 233 | auto res = createView(); |
| 234 | |
| 235 | res->data.resize(limit); |
| 236 | for (size_t i = 0; i < limit; ++i) |
| 237 | res->data[i] = data[perm[i]]; |
| 238 | |
| 239 | return res; |
| 240 | } |
| 241 | |
| 242 | ColumnPtr ColumnAggregateFunction::index(const IColumn & indexes, size_t limit) const |
| 243 | { |
| 244 | return selectIndexImpl(*this, indexes, limit); |
| 245 | } |
| 246 | |
| 247 | template <typename Type> |
| 248 | ColumnPtr ColumnAggregateFunction::indexImpl(const PaddedPODArray<Type> & indexes, size_t limit) const |
| 249 | { |
| 250 | auto res = createView(); |
| 251 | |
| 252 | res->data.resize(limit); |
| 253 | for (size_t i = 0; i < limit; ++i) |
| 254 | res->data[i] = data[indexes[i]]; |
| 255 | |
| 256 | return res; |
| 257 | } |
| 258 | |
| 259 | INSTANTIATE_INDEX_IMPL(ColumnAggregateFunction) |
| 260 | |
| 261 | /// Is required to support operations with Set |
| 262 | void ColumnAggregateFunction::updateHashWithValue(size_t n, SipHash & hash) const |
| 263 | { |
| 264 | WriteBufferFromOwnString wbuf; |
| 265 | func->serialize(data[n], wbuf); |
| 266 | hash.update(wbuf.str().c_str(), wbuf.str().size()); |
| 267 | } |
| 268 | |
| 269 | /// The returned size is less than real size. The reason is that some parts of |
| 270 | /// aggregate function data may be allocated on shared arenas. These arenas are |
| 271 | /// used for several blocks, and also may be updated concurrently from other |
| 272 | /// threads, so we can't know the size of these data. |
| 273 | size_t ColumnAggregateFunction::byteSize() const |
| 274 | { |
| 275 | return data.size() * sizeof(data[0]) |
| 276 | + (my_arena ? my_arena->size() : 0); |
| 277 | } |
| 278 | |
| 279 | /// Like in byteSize(), the size is underestimated. |
| 280 | size_t ColumnAggregateFunction::allocatedBytes() const |
| 281 | { |
| 282 | return data.allocated_bytes() |
| 283 | + (my_arena ? my_arena->size() : 0); |
| 284 | } |
| 285 | |
| 286 | void ColumnAggregateFunction::protect() |
| 287 | { |
| 288 | data.protect(); |
| 289 | } |
| 290 | |
| 291 | MutableColumnPtr ColumnAggregateFunction::cloneEmpty() const |
| 292 | { |
| 293 | return create(func); |
| 294 | } |
| 295 | |
| 296 | String ColumnAggregateFunction::getTypeString() const |
| 297 | { |
| 298 | return DataTypeAggregateFunction(func, func->getArgumentTypes(), func->getParameters()).getName(); |
| 299 | } |
| 300 | |
| 301 | Field ColumnAggregateFunction::operator[](size_t n) const |
| 302 | { |
| 303 | Field field = AggregateFunctionStateData(); |
| 304 | field.get<AggregateFunctionStateData &>().name = getTypeString(); |
| 305 | { |
| 306 | WriteBufferFromString buffer(field.get<AggregateFunctionStateData &>().data); |
| 307 | func->serialize(data[n], buffer); |
| 308 | } |
| 309 | return field; |
| 310 | } |
| 311 | |
| 312 | void ColumnAggregateFunction::get(size_t n, Field & res) const |
| 313 | { |
| 314 | res = AggregateFunctionStateData(); |
| 315 | res.get<AggregateFunctionStateData &>().name = getTypeString(); |
| 316 | { |
| 317 | WriteBufferFromString buffer(res.get<AggregateFunctionStateData &>().data); |
| 318 | func->serialize(data[n], buffer); |
| 319 | } |
| 320 | } |
| 321 | |
| 322 | StringRef ColumnAggregateFunction::getDataAt(size_t n) const |
| 323 | { |
| 324 | return StringRef(reinterpret_cast<const char *>(&data[n]), sizeof(data[n])); |
| 325 | } |
| 326 | |
| 327 | void ColumnAggregateFunction::insertData(const char * pos, size_t /*length*/) |
| 328 | { |
| 329 | ensureOwnership(); |
| 330 | data.push_back(*reinterpret_cast<const AggregateDataPtr *>(pos)); |
| 331 | } |
| 332 | |
| 333 | void ColumnAggregateFunction::insertFrom(const IColumn & from, size_t n) |
| 334 | { |
| 335 | /// Must create new state of aggregate function and take ownership of it, |
| 336 | /// because ownership of states of aggregate function cannot be shared for individual rows, |
| 337 | /// (only as a whole, see comment above). |
| 338 | ensureOwnership(); |
| 339 | insertDefault(); |
| 340 | insertMergeFrom(from, n); |
| 341 | } |
| 342 | |
| 343 | void ColumnAggregateFunction::insertFrom(ConstAggregateDataPtr place) |
| 344 | { |
| 345 | ensureOwnership(); |
| 346 | insertDefault(); |
| 347 | insertMergeFrom(place); |
| 348 | } |
| 349 | |
| 350 | void ColumnAggregateFunction::insertMergeFrom(ConstAggregateDataPtr place) |
| 351 | { |
| 352 | func->merge(data.back(), place, &createOrGetArena()); |
| 353 | } |
| 354 | |
| 355 | void ColumnAggregateFunction::insertMergeFrom(const IColumn & from, size_t n) |
| 356 | { |
| 357 | insertMergeFrom(assert_cast<const ColumnAggregateFunction &>(from).data[n]); |
| 358 | } |
| 359 | |
| 360 | Arena & ColumnAggregateFunction::createOrGetArena() |
| 361 | { |
| 362 | if (unlikely(!my_arena)) |
| 363 | my_arena = std::make_shared<Arena>(); |
| 364 | |
| 365 | return *my_arena.get(); |
| 366 | } |
| 367 | |
| 368 | |
| 369 | static void pushBackAndCreateState(ColumnAggregateFunction::Container & data, Arena & arena, IAggregateFunction * func) |
| 370 | { |
| 371 | data.push_back(arena.alignedAlloc(func->sizeOfData(), func->alignOfData())); |
| 372 | try |
| 373 | { |
| 374 | func->create(data.back()); |
| 375 | } |
| 376 | catch (...) |
| 377 | { |
| 378 | data.pop_back(); |
| 379 | throw; |
| 380 | } |
| 381 | } |
| 382 | |
| 383 | void ColumnAggregateFunction::insert(const Field & x) |
| 384 | { |
| 385 | String type_string = getTypeString(); |
| 386 | |
| 387 | if (x.getType() != Field::Types::AggregateFunctionState) |
| 388 | throw Exception(String("Inserting field of type " ) + x.getTypeName() + " into ColumnAggregateFunction. " |
| 389 | "Expected " + Field::Types::toString(Field::Types::AggregateFunctionState), ErrorCodes::LOGICAL_ERROR); |
| 390 | |
| 391 | auto & field_name = x.get<const AggregateFunctionStateData &>().name; |
| 392 | if (type_string != field_name) |
| 393 | throw Exception("Cannot insert filed with type " + field_name + " into column with type " + type_string, |
| 394 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT); |
| 395 | |
| 396 | ensureOwnership(); |
| 397 | Arena & arena = createOrGetArena(); |
| 398 | pushBackAndCreateState(data, arena, func.get()); |
| 399 | ReadBufferFromString read_buffer(x.get<const AggregateFunctionStateData &>().data); |
| 400 | func->deserialize(data.back(), read_buffer, &arena); |
| 401 | } |
| 402 | |
| 403 | void ColumnAggregateFunction::insertDefault() |
| 404 | { |
| 405 | ensureOwnership(); |
| 406 | Arena & arena = createOrGetArena(); |
| 407 | pushBackAndCreateState(data, arena, func.get()); |
| 408 | } |
| 409 | |
| 410 | StringRef ColumnAggregateFunction::serializeValueIntoArena(size_t n, Arena & dst, const char *& begin) const |
| 411 | { |
| 412 | WriteBufferFromArena out(dst, begin); |
| 413 | func->serialize(data[n], out); |
| 414 | return out.finish(); |
| 415 | } |
| 416 | |
| 417 | const char * ColumnAggregateFunction::deserializeAndInsertFromArena(const char * src_arena) |
| 418 | { |
| 419 | ensureOwnership(); |
| 420 | |
| 421 | /** Parameter "src_arena" points to Arena, from which we will deserialize the state. |
| 422 | * And "dst_arena" is another Arena, that aggregate function state will use to store its data. |
| 423 | */ |
| 424 | Arena & dst_arena = createOrGetArena(); |
| 425 | pushBackAndCreateState(data, dst_arena, func.get()); |
| 426 | |
| 427 | /** We will read from src_arena. |
| 428 | * There is no limit for reading - it is assumed, that we can read all that we need after src_arena pointer. |
| 429 | * Buf ReadBufferFromMemory requires some bound. We will use arbitrary big enough number, that will not overflow pointer. |
| 430 | * NOTE Technically, this is not compatible with C++ standard, |
| 431 | * as we cannot legally compare pointers after last element + 1 of some valid memory region. |
| 432 | * Probably this will not work under UBSan. |
| 433 | */ |
| 434 | ReadBufferFromMemory read_buffer(src_arena, std::numeric_limits<char *>::max() - src_arena - 1); |
| 435 | func->deserialize(data.back(), read_buffer, &dst_arena); |
| 436 | |
| 437 | return read_buffer.position(); |
| 438 | } |
| 439 | |
| 440 | void ColumnAggregateFunction::popBack(size_t n) |
| 441 | { |
| 442 | size_t size = data.size(); |
| 443 | size_t new_size = size - n; |
| 444 | |
| 445 | if (!src) |
| 446 | for (size_t i = new_size; i < size; ++i) |
| 447 | func->destroy(data[i]); |
| 448 | |
| 449 | data.resize_assume_reserved(new_size); |
| 450 | } |
| 451 | |
| 452 | ColumnPtr ColumnAggregateFunction::replicate(const IColumn::Offsets & offsets) const |
| 453 | { |
| 454 | size_t size = data.size(); |
| 455 | if (size != offsets.size()) |
| 456 | throw Exception("Size of offsets doesn't match size of column." , ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH); |
| 457 | |
| 458 | if (size == 0) |
| 459 | return cloneEmpty(); |
| 460 | |
| 461 | auto res = createView(); |
| 462 | auto & res_data = res->data; |
| 463 | res_data.reserve(offsets.back()); |
| 464 | |
| 465 | IColumn::Offset prev_offset = 0; |
| 466 | for (size_t i = 0; i < size; ++i) |
| 467 | { |
| 468 | size_t size_to_replicate = offsets[i] - prev_offset; |
| 469 | prev_offset = offsets[i]; |
| 470 | |
| 471 | for (size_t j = 0; j < size_to_replicate; ++j) |
| 472 | res_data.push_back(data[i]); |
| 473 | } |
| 474 | |
| 475 | return res; |
| 476 | } |
| 477 | |
| 478 | MutableColumns ColumnAggregateFunction::scatter(IColumn::ColumnIndex num_columns, const IColumn::Selector & selector) const |
| 479 | { |
| 480 | /// Columns with scattered values will point to this column as the owner of values. |
| 481 | MutableColumns columns(num_columns); |
| 482 | for (auto & column : columns) |
| 483 | column = createView(); |
| 484 | |
| 485 | size_t num_rows = size(); |
| 486 | |
| 487 | { |
| 488 | size_t reserve_size = num_rows / num_columns * 1.1; /// 1.1 is just a guess. Better to use n-sigma rule. |
| 489 | |
| 490 | if (reserve_size > 1) |
| 491 | for (auto & column : columns) |
| 492 | column->reserve(reserve_size); |
| 493 | } |
| 494 | |
| 495 | for (size_t i = 0; i < num_rows; ++i) |
| 496 | assert_cast<ColumnAggregateFunction &>(*columns[selector[i]]).data.push_back(data[i]); |
| 497 | |
| 498 | return columns; |
| 499 | } |
| 500 | |
| 501 | void ColumnAggregateFunction::getPermutation(bool /*reverse*/, size_t /*limit*/, int /*nan_direction_hint*/, IColumn::Permutation & res) const |
| 502 | { |
| 503 | size_t s = data.size(); |
| 504 | res.resize(s); |
| 505 | for (size_t i = 0; i < s; ++i) |
| 506 | res[i] = i; |
| 507 | } |
| 508 | |
| 509 | void ColumnAggregateFunction::gather(ColumnGathererStream & gatherer) |
| 510 | { |
| 511 | gatherer.gather(*this); |
| 512 | } |
| 513 | |
| 514 | void ColumnAggregateFunction::getExtremes(Field & min, Field & max) const |
| 515 | { |
| 516 | /// Place serialized default values into min/max. |
| 517 | |
| 518 | AlignedBuffer place_buffer(func->sizeOfData(), func->alignOfData()); |
| 519 | AggregateDataPtr place = place_buffer.data(); |
| 520 | |
| 521 | AggregateFunctionStateData serialized; |
| 522 | serialized.name = getTypeString(); |
| 523 | |
| 524 | func->create(place); |
| 525 | try |
| 526 | { |
| 527 | WriteBufferFromString buffer(serialized.data); |
| 528 | func->serialize(place, buffer); |
| 529 | } |
| 530 | catch (...) |
| 531 | { |
| 532 | func->destroy(place); |
| 533 | throw; |
| 534 | } |
| 535 | func->destroy(place); |
| 536 | |
| 537 | min = serialized; |
| 538 | max = serialized; |
| 539 | } |
| 540 | |
| 541 | namespace |
| 542 | { |
| 543 | |
| 544 | ConstArenas concatArenas(const ConstArenas & array, ConstArenaPtr arena) |
| 545 | { |
| 546 | ConstArenas result = array; |
| 547 | if (arena) |
| 548 | result.push_back(std::move(arena)); |
| 549 | |
| 550 | return result; |
| 551 | } |
| 552 | |
| 553 | } |
| 554 | |
| 555 | ColumnAggregateFunction::MutablePtr ColumnAggregateFunction::createView() const |
| 556 | { |
| 557 | auto res = create(func, concatArenas(foreign_arenas, my_arena)); |
| 558 | res->src = getPtr(); |
| 559 | return res; |
| 560 | } |
| 561 | |
| 562 | ColumnAggregateFunction::ColumnAggregateFunction(const ColumnAggregateFunction & src_) |
| 563 | : foreign_arenas(concatArenas(src_.foreign_arenas, src_.my_arena)), |
| 564 | func(src_.func), src(src_.getPtr()), data(src_.data.begin(), src_.data.end()) |
| 565 | { |
| 566 | } |
| 567 | |
| 568 | } |
| 569 | |