be/src/exprs/vexpr_context.cpp
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1 | | // Licensed to the Apache Software Foundation (ASF) under one |
2 | | // or more contributor license agreements. See the NOTICE file |
3 | | // distributed with this work for additional information |
4 | | // regarding copyright ownership. The ASF licenses this file |
5 | | // to you under the Apache License, Version 2.0 (the |
6 | | // "License"); you may not use this file except in compliance |
7 | | // with the License. You may obtain a copy of the License at |
8 | | // |
9 | | // http://www.apache.org/licenses/LICENSE-2.0 |
10 | | // |
11 | | // Unless required by applicable law or agreed to in writing, |
12 | | // software distributed under the License is distributed on an |
13 | | // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
14 | | // KIND, either express or implied. See the License for the |
15 | | // specific language governing permissions and limitations |
16 | | // under the License. |
17 | | |
18 | | #include "exprs/vexpr_context.h" |
19 | | |
20 | | #include <algorithm> |
21 | | #include <cstdint> |
22 | | #include <string> |
23 | | |
24 | | #include "common/compiler_util.h" // IWYU pragma: keep |
25 | | #include "common/exception.h" |
26 | | #include "common/status.h" |
27 | | #include "core/block/column_numbers.h" |
28 | | #include "core/block/column_with_type_and_name.h" |
29 | | #include "core/block/columns_with_type_and_name.h" |
30 | | #include "core/column/column.h" |
31 | | #include "core/column/column_const.h" |
32 | | #include "exprs/function_context.h" |
33 | | #include "exprs/vexpr.h" |
34 | | #include "runtime/runtime_state.h" |
35 | | #include "runtime/thread_context.h" |
36 | | #include "storage/olap_common.h" |
37 | | #include "storage/segment/column_reader.h" |
38 | | #include "util/simd/bits.h" |
39 | | |
40 | | namespace doris { |
41 | | class RowDescriptor; |
42 | | } // namespace doris |
43 | | |
44 | | namespace doris { |
45 | | |
46 | 29.2M | VExprContext::~VExprContext() { |
47 | | // In runtime filter, only create expr context to get expr root, will not call |
48 | | // prepare or open, so that it is not need to call close. And call close may core |
49 | | // because the function context in expr is not set. |
50 | 29.2M | if (!_prepared || !_opened) { |
51 | 340k | return; |
52 | 340k | } |
53 | 28.8M | try { |
54 | 28.8M | close(); |
55 | 28.8M | } catch (const Exception& e) { |
56 | 0 | LOG(WARNING) << "Exception occurs when expr context deconstruct: " << e.to_string(); |
57 | 0 | } |
58 | 28.8M | } |
59 | | |
60 | 1.41M | Status VExprContext::execute(Block* block, int* result_column_id) { |
61 | 1.41M | Status st; |
62 | 1.41M | RETURN_IF_CATCH_EXCEPTION({ |
63 | 1.41M | st = _root->execute(this, block, result_column_id); |
64 | 1.41M | _last_result_column_id = *result_column_id; |
65 | | // We should first check the status, as some expressions might incorrectly set result_column_id, even if the st is not ok. |
66 | 1.41M | if (st.ok() && _last_result_column_id != -1) { |
67 | 1.41M | block->get_by_position(*result_column_id).column->sanity_check(); |
68 | 1.41M | RETURN_IF_ERROR( |
69 | 1.41M | block->get_by_position(*result_column_id).check_type_and_column_match()); |
70 | 1.41M | } |
71 | 1.41M | }); |
72 | 1.41M | return st; |
73 | 1.41M | } |
74 | | |
75 | 2.53M | Status VExprContext::execute(const Block* block, ColumnPtr& result_column) { |
76 | 2.53M | Status st; |
77 | 2.53M | RETURN_IF_CATCH_EXCEPTION( |
78 | 2.53M | { st = _root->execute_column(this, block, nullptr, block->rows(), result_column); }); |
79 | 2.53M | return st; |
80 | 2.53M | } |
81 | | |
82 | 27.4k | Status VExprContext::execute(const Block* block, ColumnWithTypeAndName& result_data) { |
83 | 27.4k | Status st; |
84 | 27.4k | ColumnPtr result_column; |
85 | 27.4k | RETURN_IF_CATCH_EXCEPTION( |
86 | 27.4k | { st = _root->execute_column(this, block, nullptr, block->rows(), result_column); }); |
87 | 27.5k | RETURN_IF_ERROR(st); |
88 | 27.5k | result_data.column = result_column; |
89 | 27.5k | result_data.type = execute_type(block); |
90 | 27.5k | result_data.name = _root->expr_name(); |
91 | 27.5k | return Status::OK(); |
92 | 27.5k | } |
93 | | |
94 | 1.17M | DataTypePtr VExprContext::execute_type(const Block* block) { |
95 | 1.17M | return _root->execute_type(block); |
96 | 1.17M | } |
97 | | |
98 | 1.08M | Status VExprContext::execute_const_expr(ColumnWithTypeAndName& result) { |
99 | 1.08M | Status st; |
100 | 1.08M | RETURN_IF_CATCH_EXCEPTION( |
101 | 1.08M | { st = _root->execute_column(this, nullptr, nullptr, 1, result.column); }); |
102 | 1.08M | RETURN_IF_ERROR(st); |
103 | 1.08M | result.type = _root->execute_type(nullptr); |
104 | 1.08M | result.name = _root->expr_name(); |
105 | 1.08M | return Status::OK(); |
106 | 1.08M | } |
107 | | |
108 | 1.14M | [[nodiscard]] const std::string& VExprContext::expr_name() const { |
109 | 1.14M | return _root->expr_name(); |
110 | 1.14M | } |
111 | | |
112 | 0 | bool VExprContext::is_blockable() const { |
113 | 0 | return _root->is_blockable(); |
114 | 0 | } |
115 | | |
116 | 7.32M | Status VExprContext::prepare(RuntimeState* state, const RowDescriptor& row_desc) { |
117 | 7.32M | _prepared = true; |
118 | 7.32M | Status st; |
119 | 7.32M | RETURN_IF_CATCH_EXCEPTION({ st = _root->prepare(state, row_desc, this); }); |
120 | 7.32M | return st; |
121 | 7.32M | } |
122 | | |
123 | 7.32M | Status VExprContext::open(RuntimeState* state) { |
124 | 7.32M | DCHECK(_prepared); |
125 | 7.32M | if (_opened) { |
126 | 46 | return Status::OK(); |
127 | 46 | } |
128 | 7.32M | _opened = true; |
129 | | // Fragment-local state is only initialized for original contexts. Clones inherit the |
130 | | // original's fragment state and only need to have thread-local state initialized. |
131 | 7.32M | FunctionContext::FunctionStateScope scope = |
132 | 7.32M | _is_clone ? FunctionContext::THREAD_LOCAL : FunctionContext::FRAGMENT_LOCAL; |
133 | 7.32M | Status st; |
134 | 7.32M | RETURN_IF_CATCH_EXCEPTION({ st = _root->open(state, this, scope); }); |
135 | 7.32M | return st; |
136 | 7.32M | } |
137 | | |
138 | 28.8M | void VExprContext::close() { |
139 | | // Sometimes expr context may not have a root, then it need not call close |
140 | 28.8M | if (_root == nullptr) { |
141 | 0 | return; |
142 | 0 | } |
143 | 28.8M | FunctionContext::FunctionStateScope scope = |
144 | 28.8M | _is_clone ? FunctionContext::THREAD_LOCAL : FunctionContext::FRAGMENT_LOCAL; |
145 | 28.8M | _root->close(this, scope); |
146 | 28.8M | } |
147 | | |
148 | 21.3M | Status VExprContext::clone(RuntimeState* state, VExprContextSPtr& new_ctx) { |
149 | 18.4E | DCHECK(_prepared) << "expr context not prepared"; |
150 | 21.3M | DCHECK(_opened); |
151 | 21.3M | DCHECK(new_ctx.get() == nullptr); |
152 | | |
153 | 21.3M | new_ctx = std::make_shared<VExprContext>(_root); |
154 | 21.3M | for (auto& _fn_context : _fn_contexts) { |
155 | 1.40M | new_ctx->_fn_contexts.push_back(_fn_context->clone()); |
156 | 1.40M | } |
157 | | |
158 | 21.3M | new_ctx->_is_clone = true; |
159 | 21.3M | new_ctx->_prepared = true; |
160 | 21.3M | new_ctx->_opened = true; |
161 | | // segment_v2::AnnRangeSearchRuntime should be cloned as well. |
162 | | // The object of segment_v2::AnnRangeSearchRuntime is not shared by threads. |
163 | 21.3M | new_ctx->_ann_range_search_runtime = this->_ann_range_search_runtime; |
164 | | |
165 | 21.3M | return _root->open(state, new_ctx.get(), FunctionContext::THREAD_LOCAL); |
166 | 21.3M | } |
167 | | |
168 | 0 | void VExprContext::clone_fn_contexts(VExprContext* other) { |
169 | 0 | for (auto& _fn_context : _fn_contexts) { |
170 | 0 | other->_fn_contexts.push_back(_fn_context->clone()); |
171 | 0 | } |
172 | 0 | } |
173 | | |
174 | | int VExprContext::register_function_context(RuntimeState* state, const DataTypePtr& return_type, |
175 | 833k | const std::vector<DataTypePtr>& arg_types) { |
176 | 833k | _fn_contexts.push_back(FunctionContext::create_context(state, return_type, arg_types)); |
177 | 833k | _fn_contexts.back()->set_check_overflow_for_decimal(state->check_overflow_for_decimal()); |
178 | 833k | _fn_contexts.back()->set_enable_strict_mode(state->enable_strict_mode()); |
179 | 833k | return static_cast<int>(_fn_contexts.size()) - 1; |
180 | 833k | } |
181 | | |
182 | 13.1k | Status VExprContext::evaluate_inverted_index(uint32_t segment_num_rows) { |
183 | 13.1k | Status st; |
184 | 13.1k | RETURN_IF_CATCH_EXCEPTION({ st = _root->evaluate_inverted_index(this, segment_num_rows); }); |
185 | 13.1k | return st; |
186 | 13.1k | } |
187 | | |
188 | 12.8k | bool VExprContext::all_expr_inverted_index_evaluated() { |
189 | 12.8k | return _index_context->has_index_result_for_expr(_root.get()); |
190 | 12.8k | } |
191 | | |
192 | 50 | Status VExprContext::filter_block(VExprContext* vexpr_ctx, Block* block) { |
193 | 50 | if (vexpr_ctx == nullptr || block->rows() == 0) { |
194 | 0 | return Status::OK(); |
195 | 0 | } |
196 | 50 | ColumnPtr filter_column; |
197 | 50 | RETURN_IF_ERROR(vexpr_ctx->execute(block, filter_column)); |
198 | 50 | size_t filter_column_id = block->columns(); |
199 | 50 | block->insert({filter_column, vexpr_ctx->execute_type(block), "filter_column"}); |
200 | 50 | vexpr_ctx->_memory_usage = filter_column->allocated_bytes(); |
201 | 50 | return Block::filter_block(block, filter_column_id, filter_column_id); |
202 | 50 | } |
203 | | |
204 | | Status VExprContext::filter_block(const VExprContextSPtrs& expr_contexts, Block* block, |
205 | 24.0M | size_t column_to_keep) { |
206 | 24.0M | if (expr_contexts.empty() || block->rows() == 0) { |
207 | 23.9M | return Status::OK(); |
208 | 23.9M | } |
209 | | |
210 | 69.3k | ColumnNumbers columns_to_filter(column_to_keep); |
211 | 69.3k | std::iota(columns_to_filter.begin(), columns_to_filter.end(), 0); |
212 | | |
213 | 69.3k | return execute_conjuncts_and_filter_block(expr_contexts, block, columns_to_filter, |
214 | 69.3k | static_cast<int>(column_to_keep)); |
215 | 24.0M | } |
216 | | |
217 | | Status VExprContext::execute_conjuncts(const VExprContextSPtrs& ctxs, |
218 | | const std::vector<IColumn::Filter*>* filters, Block* block, |
219 | 66.1k | IColumn::Filter* result_filter, bool* can_filter_all) { |
220 | 66.1k | return execute_conjuncts(ctxs, filters, false, block, result_filter, can_filter_all); |
221 | 66.1k | } |
222 | | |
223 | | Status VExprContext::execute_filter(const Block* block, uint8_t* __restrict result_filter_data, |
224 | 199k | size_t rows, bool accept_null, bool* can_filter_all) { |
225 | 199k | return _root->execute_filter(this, block, result_filter_data, rows, accept_null, |
226 | 199k | can_filter_all); |
227 | 199k | } |
228 | | |
229 | | Status VExprContext::execute_conjuncts(const VExprContextSPtrs& ctxs, |
230 | | const std::vector<IColumn::Filter*>* filters, |
231 | | bool accept_null, const Block* block, |
232 | 148k | IColumn::Filter* result_filter, bool* can_filter_all) { |
233 | 148k | size_t rows = block->rows(); |
234 | 148k | DCHECK_EQ(result_filter->size(), rows); |
235 | 148k | *can_filter_all = false; |
236 | 148k | auto* __restrict result_filter_data = result_filter->data(); |
237 | 199k | for (const auto& ctx : ctxs) { |
238 | 199k | RETURN_IF_ERROR( |
239 | 199k | ctx->execute_filter(block, result_filter_data, rows, accept_null, can_filter_all)); |
240 | 199k | if (*can_filter_all) { |
241 | 37.0k | return Status::OK(); |
242 | 37.0k | } |
243 | 199k | } |
244 | 111k | if (filters != nullptr) { |
245 | 38.4k | for (auto* filter : *filters) { |
246 | 1.44k | auto* __restrict filter_data = filter->data(); |
247 | 1.44k | const size_t size = filter->size(); |
248 | 863k | for (size_t i = 0; i < size; ++i) { |
249 | 862k | result_filter_data[i] &= filter_data[i]; |
250 | 862k | } |
251 | 1.44k | if (memchr(result_filter_data, 0x1, size) == nullptr) { |
252 | 938 | *can_filter_all = true; |
253 | 938 | return Status::OK(); |
254 | 938 | } |
255 | 1.44k | } |
256 | 38.4k | } |
257 | 110k | return Status::OK(); |
258 | 111k | } |
259 | | |
260 | | Status VExprContext::execute_conjuncts(const VExprContextSPtrs& conjuncts, const Block* block, |
261 | 377 | ColumnUInt8& null_map, IColumn::Filter& filter) { |
262 | 377 | const auto& rows = block->rows(); |
263 | 377 | if (rows == 0) { |
264 | 0 | return Status::OK(); |
265 | 0 | } |
266 | 377 | if (null_map.size() != rows) { |
267 | 0 | return Status::InternalError("null_map.size()!=rows, null_map.size()={}, rows={}", |
268 | 0 | null_map.size(), rows); |
269 | 0 | } |
270 | | |
271 | 377 | auto* final_null_map = null_map.get_data().data(); |
272 | 377 | auto* final_filter_ptr = filter.data(); |
273 | | |
274 | 377 | for (const auto& conjunct : conjuncts) { |
275 | 66 | ColumnPtr result_column; |
276 | 66 | RETURN_IF_ERROR(conjunct->execute(block, result_column)); |
277 | 66 | auto [filter_column, is_const] = unpack_if_const(result_column); |
278 | 66 | const auto* nullable_column = assert_cast<const ColumnNullable*>(filter_column.get()); |
279 | 66 | if (!is_const) { |
280 | 57 | const ColumnPtr& nested_column = nullable_column->get_nested_column_ptr(); |
281 | 57 | const IColumn::Filter& result = |
282 | 57 | assert_cast<const ColumnUInt8&>(*nested_column).get_data(); |
283 | 57 | const auto* __restrict filter_data = result.data(); |
284 | 57 | const auto* __restrict null_map_data = nullable_column->get_null_map_data().data(); |
285 | 57 | DCHECK_EQ(rows, nullable_column->size()); |
286 | | |
287 | 634 | for (size_t i = 0; i != rows; ++i) { |
288 | | // null and null => null |
289 | | // null and true => null |
290 | | // null and false => false |
291 | 577 | final_null_map[i] = (final_null_map[i] & (null_map_data[i] | filter_data[i])) | |
292 | 577 | (null_map_data[i] & (final_null_map[i] | final_filter_ptr[i])); |
293 | 577 | final_filter_ptr[i] = final_filter_ptr[i] & filter_data[i]; |
294 | 577 | } |
295 | 57 | } else { |
296 | 9 | bool filter_data = nullable_column->get_bool(0); |
297 | 9 | bool null_map_data = nullable_column->is_null_at(0); |
298 | 28 | for (size_t i = 0; i != rows; ++i) { |
299 | | // null and null => null |
300 | | // null and true => null |
301 | | // null and false => false |
302 | 19 | final_null_map[i] = (final_null_map[i] & (null_map_data | filter_data)) | |
303 | 19 | (null_map_data & (final_null_map[i] | final_filter_ptr[i])); |
304 | 19 | final_filter_ptr[i] = final_filter_ptr[i] & filter_data; |
305 | 19 | } |
306 | 9 | } |
307 | 66 | } |
308 | 377 | return Status::OK(); |
309 | 377 | } |
310 | | |
311 | | // TODO Performance Optimization |
312 | | // need exception safety |
313 | | Status VExprContext::execute_conjuncts_and_filter_block(const VExprContextSPtrs& ctxs, Block* block, |
314 | | std::vector<uint32_t>& columns_to_filter, |
315 | 70.5k | int column_to_keep) { |
316 | 70.5k | IColumn::Filter result_filter(block->rows(), 1); |
317 | 70.5k | bool can_filter_all; |
318 | | |
319 | 70.5k | _reset_memory_usage(ctxs); |
320 | | |
321 | 70.5k | RETURN_IF_ERROR( |
322 | 70.5k | execute_conjuncts(ctxs, nullptr, false, block, &result_filter, &can_filter_all)); |
323 | | |
324 | | // Accumulate the usage of `result_filter` into the first context. |
325 | 70.5k | if (!ctxs.empty()) { |
326 | 70.5k | ctxs[0]->_memory_usage += result_filter.allocated_bytes(); |
327 | 70.5k | } |
328 | 70.5k | if (can_filter_all) { |
329 | 47.0k | for (auto& col : columns_to_filter) { |
330 | 47.0k | auto& column = block->get_by_position(col).column; |
331 | 47.0k | if (column->is_exclusive()) { |
332 | 45.3k | column->assume_mutable()->clear(); |
333 | 45.3k | } else { |
334 | 1.70k | column = column->clone_empty(); |
335 | 1.70k | } |
336 | 47.0k | } |
337 | 59.9k | } else { |
338 | 59.9k | try { |
339 | 59.9k | Block::filter_block_internal(block, columns_to_filter, result_filter); |
340 | 59.9k | } catch (const Exception& e) { |
341 | 0 | std::string str; |
342 | 0 | for (auto ctx : ctxs) { |
343 | 0 | if (str.length()) { |
344 | 0 | str += ","; |
345 | 0 | } |
346 | 0 | str += ctx->root()->debug_string(); |
347 | 0 | } |
348 | |
|
349 | 0 | return Status::InternalError( |
350 | 0 | "filter_block_internal meet exception, exprs=[{}], exception={}", str, |
351 | 0 | e.what()); |
352 | 0 | } |
353 | 59.9k | } |
354 | 70.5k | Block::erase_useless_column(block, column_to_keep); |
355 | 70.5k | return Status::OK(); |
356 | 70.5k | } |
357 | | |
358 | | Status VExprContext::execute_conjuncts_and_filter_block(const VExprContextSPtrs& ctxs, Block* block, |
359 | | std::vector<uint32_t>& columns_to_filter, |
360 | | int column_to_keep, |
361 | 6.27k | IColumn::Filter& filter) { |
362 | 6.27k | _reset_memory_usage(ctxs); |
363 | 6.27k | filter.resize_fill(block->rows(), 1); |
364 | 6.27k | bool can_filter_all; |
365 | 6.27k | RETURN_IF_ERROR(execute_conjuncts(ctxs, nullptr, false, block, &filter, &can_filter_all)); |
366 | | |
367 | | // Accumulate the usage of `result_filter` into the first context. |
368 | 6.27k | if (!ctxs.empty()) { |
369 | 6.23k | ctxs[0]->_memory_usage += filter.allocated_bytes(); |
370 | 6.23k | } |
371 | 6.27k | if (can_filter_all) { |
372 | 4.66k | for (auto& col : columns_to_filter) { |
373 | 4.66k | auto& column = block->get_by_position(col).column; |
374 | 4.66k | if (column->is_exclusive()) { |
375 | 4.54k | column->assume_mutable()->clear(); |
376 | 4.54k | } else { |
377 | 123 | column = column->clone_empty(); |
378 | 123 | } |
379 | 4.66k | } |
380 | 3.84k | } else { |
381 | 3.84k | RETURN_IF_CATCH_EXCEPTION(Block::filter_block_internal(block, columns_to_filter, filter)); |
382 | 3.84k | } |
383 | | |
384 | 6.27k | Block::erase_useless_column(block, column_to_keep); |
385 | 6.27k | return Status::OK(); |
386 | 6.27k | } |
387 | | |
388 | | // do_projection: for some query(e.g. in MultiCastDataStreamerSourceOperator::get_block()), |
389 | | // output_vexpr_ctxs will output the same column more than once, and if the output_block |
390 | | // is mem-reused later, it will trigger DCHECK_EQ(d.column->use_count(), 1) failure when |
391 | | // doing Block::clear_column_data, set do_projection to true to copy the column data to |
392 | | // avoid this problem. |
393 | | Status VExprContext::get_output_block_after_execute_exprs( |
394 | | const VExprContextSPtrs& output_vexpr_ctxs, const Block& input_block, Block* output_block, |
395 | 220k | bool do_projection) { |
396 | 220k | auto rows = input_block.rows(); |
397 | 220k | ColumnsWithTypeAndName result_columns; |
398 | 220k | _reset_memory_usage(output_vexpr_ctxs); |
399 | | |
400 | 1.14M | for (const auto& vexpr_ctx : output_vexpr_ctxs) { |
401 | 1.14M | ColumnPtr result_column; |
402 | 1.14M | RETURN_IF_ERROR(vexpr_ctx->execute(&input_block, result_column)); |
403 | | |
404 | 1.14M | auto type = vexpr_ctx->execute_type(&input_block); |
405 | 1.14M | const auto& name = vexpr_ctx->expr_name(); |
406 | | |
407 | 1.14M | vexpr_ctx->_memory_usage += result_column->allocated_bytes(); |
408 | 1.14M | if (do_projection) { |
409 | 16.0k | result_columns.emplace_back(result_column->clone_resized(rows), type, name); |
410 | | |
411 | 1.12M | } else { |
412 | 1.12M | result_columns.emplace_back(result_column, type, name); |
413 | 1.12M | } |
414 | 1.14M | } |
415 | 220k | *output_block = {result_columns}; |
416 | 220k | return Status::OK(); |
417 | 220k | } |
418 | | |
419 | 296k | void VExprContext::_reset_memory_usage(const VExprContextSPtrs& contexts) { |
420 | 296k | std::for_each(contexts.begin(), contexts.end(), |
421 | 1.25M | [](auto&& context) { context->_memory_usage = 0; }); |
422 | 296k | } |
423 | | |
424 | 13.2k | void VExprContext::prepare_ann_range_search(const doris::VectorSearchUserParams& params) { |
425 | 13.2k | if (_root == nullptr) { |
426 | 0 | return; |
427 | 0 | } |
428 | | |
429 | 13.2k | _root->prepare_ann_range_search(params, _ann_range_search_runtime, _suitable_for_ann_index); |
430 | 13.2k | VLOG_DEBUG << fmt::format("Prepare ann range search result {}, _suitable_for_ann_index {}", |
431 | 3 | this->_ann_range_search_runtime.to_string(), |
432 | 3 | this->_suitable_for_ann_index); |
433 | 13.2k | return; |
434 | 13.2k | } |
435 | | |
436 | | Status VExprContext::evaluate_ann_range_search( |
437 | | const std::vector<std::unique_ptr<segment_v2::IndexIterator>>& cid_to_index_iterators, |
438 | | const std::vector<ColumnId>& idx_to_cid, |
439 | | const std::vector<std::unique_ptr<segment_v2::ColumnIterator>>& column_iterators, |
440 | | const std::unordered_map<VExprContext*, std::unordered_map<ColumnId, VExpr*>>& |
441 | | common_expr_to_slotref_map, |
442 | 12.8k | roaring::Roaring& row_bitmap, segment_v2::AnnIndexStats& ann_index_stats) { |
443 | 12.8k | if (_root == nullptr) { |
444 | 0 | return Status::OK(); |
445 | 0 | } |
446 | | |
447 | 12.8k | RETURN_IF_ERROR(_root->evaluate_ann_range_search( |
448 | 12.8k | _ann_range_search_runtime, cid_to_index_iterators, idx_to_cid, column_iterators, |
449 | 12.8k | row_bitmap, ann_index_stats)); |
450 | | |
451 | 12.8k | if (!_root->ann_range_search_executedd()) { |
452 | 12.8k | return Status::OK(); |
453 | 12.8k | } |
454 | | |
455 | 70 | if (!_root->ann_dist_is_fulfilled()) { |
456 | | // Do not perform index scan in this case. |
457 | 9 | return Status::OK(); |
458 | 9 | } |
459 | | |
460 | 61 | auto src_col_idx = _ann_range_search_runtime.src_col_idx; |
461 | 61 | auto slot_ref_map_it = common_expr_to_slotref_map.find(this); |
462 | 61 | if (slot_ref_map_it == common_expr_to_slotref_map.end()) { |
463 | 1 | return Status::OK(); |
464 | 1 | } |
465 | 60 | auto& slot_ref_map = slot_ref_map_it->second; |
466 | 60 | ColumnId cid = idx_to_cid[src_col_idx]; |
467 | 60 | if (slot_ref_map.find(cid) == slot_ref_map.end()) { |
468 | 6 | return Status::OK(); |
469 | 6 | } |
470 | 54 | const VExpr* slot_ref_expr_addr = slot_ref_map.find(cid)->second; |
471 | 54 | _index_context->set_true_for_index_status(slot_ref_expr_addr, idx_to_cid[cid]); |
472 | | |
473 | 54 | VLOG_DEBUG << fmt::format( |
474 | 16 | "Evaluate ann range search for expr {}, src_col_idx {}, cid {}, row_bitmap " |
475 | 16 | "cardinality {}", |
476 | 16 | _root->debug_string(), src_col_idx, cid, row_bitmap.cardinality()); |
477 | 54 | return Status::OK(); |
478 | 60 | } |
479 | | |
480 | 528k | uint64_t VExprContext::get_digest(uint64_t seed) const { |
481 | 528k | return _root->get_digest(seed); |
482 | 528k | } |
483 | | |
484 | 1.24M | double VExprContext::execute_cost() const { |
485 | 1.24M | if (_root == nullptr) { |
486 | | // When there is no expression root, treat the cost as a base value. |
487 | | // This avoids null dereferences while keeping a deterministic cost. |
488 | 0 | return 0.0; |
489 | 0 | } |
490 | 1.24M | return _root->execute_cost(); |
491 | 1.24M | } |
492 | | |
493 | | } // namespace doris |