| 1 | //===--------------------------------------------------------------------===// |
| 2 | // row_match.cpp |
| 3 | // Description: This file contains the implementation of the match operators |
| 4 | //===--------------------------------------------------------------------===// |
| 5 | |
| 6 | #include "duckdb/common/exception.hpp" |
| 7 | #include "duckdb/common/operator/comparison_operators.hpp" |
| 8 | #include "duckdb/common/operator/constant_operators.hpp" |
| 9 | #include "duckdb/common/row_operations/row_operations.hpp" |
| 10 | #include "duckdb/common/types/row/tuple_data_collection.hpp" |
| 11 | |
| 12 | namespace duckdb { |
| 13 | |
| 14 | using ValidityBytes = RowLayout::ValidityBytes; |
| 15 | using Predicates = RowOperations::Predicates; |
| 16 | |
| 17 | template <typename OP> |
| 18 | static idx_t SelectComparison(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 19 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 20 | throw NotImplementedException("Unsupported nested comparison operand for RowOperations::Match" ); |
| 21 | } |
| 22 | |
| 23 | template <> |
| 24 | idx_t SelectComparison<Equals>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 25 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 26 | return VectorOperations::NestedEquals(left, right, sel, count, true_sel, false_sel); |
| 27 | } |
| 28 | |
| 29 | template <> |
| 30 | idx_t SelectComparison<NotEquals>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 31 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 32 | return VectorOperations::NestedNotEquals(left, right, sel, count, true_sel, false_sel); |
| 33 | } |
| 34 | |
| 35 | template <> |
| 36 | idx_t SelectComparison<GreaterThan>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 37 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 38 | return VectorOperations::DistinctGreaterThan(left, right, sel: &sel, count, true_sel, false_sel); |
| 39 | } |
| 40 | |
| 41 | template <> |
| 42 | idx_t SelectComparison<GreaterThanEquals>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 43 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 44 | return VectorOperations::DistinctGreaterThanEquals(left, right, sel: &sel, count, true_sel, false_sel); |
| 45 | } |
| 46 | |
| 47 | template <> |
| 48 | idx_t SelectComparison<LessThan>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 49 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 50 | return VectorOperations::DistinctLessThan(left, right, sel: &sel, count, true_sel, false_sel); |
| 51 | } |
| 52 | |
| 53 | template <> |
| 54 | idx_t SelectComparison<LessThanEquals>(Vector &left, Vector &right, const SelectionVector &sel, idx_t count, |
| 55 | SelectionVector *true_sel, SelectionVector *false_sel) { |
| 56 | return VectorOperations::DistinctLessThanEquals(left, right, sel: &sel, count, true_sel, false_sel); |
| 57 | } |
| 58 | |
| 59 | template <class T, class OP, bool NO_MATCH_SEL> |
| 60 | static void TemplatedMatchType(UnifiedVectorFormat &col, Vector &rows, SelectionVector &sel, idx_t &count, |
| 61 | idx_t col_offset, idx_t col_no, SelectionVector *no_match, idx_t &no_match_count) { |
| 62 | // Precompute row_mask indexes |
| 63 | idx_t entry_idx; |
| 64 | idx_t idx_in_entry; |
| 65 | ValidityBytes::GetEntryIndex(row_idx: col_no, entry_idx, idx_in_entry); |
| 66 | |
| 67 | auto data = UnifiedVectorFormat::GetData<T>(col); |
| 68 | auto ptrs = FlatVector::GetData<data_ptr_t>(vector&: rows); |
| 69 | idx_t match_count = 0; |
| 70 | if (!col.validity.AllValid()) { |
| 71 | for (idx_t i = 0; i < count; i++) { |
| 72 | auto idx = sel.get_index(idx: i); |
| 73 | |
| 74 | auto row = ptrs[idx]; |
| 75 | ValidityBytes row_mask(row); |
| 76 | auto isnull = !row_mask.RowIsValid(entry: row_mask.GetValidityEntry(entry_idx), idx_in_entry); |
| 77 | |
| 78 | auto col_idx = col.sel->get_index(idx); |
| 79 | if (!col.validity.RowIsValid(row_idx: col_idx)) { |
| 80 | if (isnull) { |
| 81 | // match: move to next value to compare |
| 82 | sel.set_index(idx: match_count++, loc: idx); |
| 83 | } else { |
| 84 | if (NO_MATCH_SEL) { |
| 85 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 86 | } |
| 87 | } |
| 88 | } else { |
| 89 | auto value = Load<T>(row + col_offset); |
| 90 | if (!isnull && OP::template Operation<T>(data[col_idx], value)) { |
| 91 | sel.set_index(idx: match_count++, loc: idx); |
| 92 | } else { |
| 93 | if (NO_MATCH_SEL) { |
| 94 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 95 | } |
| 96 | } |
| 97 | } |
| 98 | } |
| 99 | } else { |
| 100 | for (idx_t i = 0; i < count; i++) { |
| 101 | auto idx = sel.get_index(idx: i); |
| 102 | |
| 103 | auto row = ptrs[idx]; |
| 104 | ValidityBytes row_mask(row); |
| 105 | auto isnull = !row_mask.RowIsValid(entry: row_mask.GetValidityEntry(entry_idx), idx_in_entry); |
| 106 | |
| 107 | auto col_idx = col.sel->get_index(idx); |
| 108 | auto value = Load<T>(row + col_offset); |
| 109 | if (!isnull && OP::template Operation<T>(data[col_idx], value)) { |
| 110 | sel.set_index(idx: match_count++, loc: idx); |
| 111 | } else { |
| 112 | if (NO_MATCH_SEL) { |
| 113 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 114 | } |
| 115 | } |
| 116 | } |
| 117 | } |
| 118 | count = match_count; |
| 119 | } |
| 120 | |
| 121 | //! Forward declaration for recursion |
| 122 | template <class OP, bool NO_MATCH_SEL> |
| 123 | static void TemplatedMatchOp(Vector &vec, UnifiedVectorFormat &col, const TupleDataLayout &layout, Vector &rows, |
| 124 | SelectionVector &sel, idx_t &count, idx_t col_no, SelectionVector *no_match, |
| 125 | idx_t &no_match_count, const idx_t original_count); |
| 126 | |
| 127 | template <class OP, bool NO_MATCH_SEL> |
| 128 | static void TemplatedMatchStruct(Vector &vec, UnifiedVectorFormat &col, const TupleDataLayout &layout, Vector &rows, |
| 129 | SelectionVector &sel, idx_t &count, const idx_t col_no, SelectionVector *no_match, |
| 130 | idx_t &no_match_count, const idx_t original_count) { |
| 131 | // Precompute row_mask indexes |
| 132 | idx_t entry_idx; |
| 133 | idx_t idx_in_entry; |
| 134 | ValidityBytes::GetEntryIndex(row_idx: col_no, entry_idx, idx_in_entry); |
| 135 | |
| 136 | // Work our way through the validity of the whole struct |
| 137 | auto ptrs = FlatVector::GetData<data_ptr_t>(vector&: rows); |
| 138 | idx_t match_count = 0; |
| 139 | if (!col.validity.AllValid()) { |
| 140 | for (idx_t i = 0; i < count; i++) { |
| 141 | auto idx = sel.get_index(idx: i); |
| 142 | |
| 143 | auto row = ptrs[idx]; |
| 144 | ValidityBytes row_mask(row); |
| 145 | auto isnull = !row_mask.RowIsValid(entry: row_mask.GetValidityEntry(entry_idx), idx_in_entry); |
| 146 | |
| 147 | auto col_idx = col.sel->get_index(idx); |
| 148 | if (!col.validity.RowIsValid(row_idx: col_idx)) { |
| 149 | if (isnull) { |
| 150 | // match: move to next value to compare |
| 151 | sel.set_index(idx: match_count++, loc: idx); |
| 152 | } else { |
| 153 | if (NO_MATCH_SEL) { |
| 154 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 155 | } |
| 156 | } |
| 157 | } else { |
| 158 | if (!isnull) { |
| 159 | sel.set_index(idx: match_count++, loc: idx); |
| 160 | } else { |
| 161 | if (NO_MATCH_SEL) { |
| 162 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 163 | } |
| 164 | } |
| 165 | } |
| 166 | } |
| 167 | } else { |
| 168 | for (idx_t i = 0; i < count; i++) { |
| 169 | auto idx = sel.get_index(idx: i); |
| 170 | |
| 171 | auto row = ptrs[idx]; |
| 172 | ValidityBytes row_mask(row); |
| 173 | auto isnull = !row_mask.RowIsValid(entry: row_mask.GetValidityEntry(entry_idx), idx_in_entry); |
| 174 | |
| 175 | if (!isnull) { |
| 176 | sel.set_index(idx: match_count++, loc: idx); |
| 177 | } else { |
| 178 | if (NO_MATCH_SEL) { |
| 179 | no_match->set_index(idx: no_match_count++, loc: idx); |
| 180 | } |
| 181 | } |
| 182 | } |
| 183 | } |
| 184 | count = match_count; |
| 185 | |
| 186 | // Now we construct row pointers to the structs |
| 187 | Vector struct_rows(LogicalTypeId::POINTER); |
| 188 | auto struct_ptrs = FlatVector::GetData<data_ptr_t>(vector&: struct_rows); |
| 189 | |
| 190 | const auto col_offset = layout.GetOffsets()[col_no]; |
| 191 | for (idx_t i = 0; i < count; i++) { |
| 192 | auto idx = sel.get_index(idx: i); |
| 193 | auto row = ptrs[idx]; |
| 194 | struct_ptrs[idx] = row + col_offset; |
| 195 | } |
| 196 | |
| 197 | // Get the struct layout, child columns, then recurse |
| 198 | const auto &struct_layout = layout.GetStructLayout(col_idx: col_no); |
| 199 | auto &struct_entries = StructVector::GetEntries(vector&: vec); |
| 200 | D_ASSERT(struct_layout.ColumnCount() == struct_entries.size()); |
| 201 | for (idx_t struct_col_no = 0; struct_col_no < struct_layout.ColumnCount(); struct_col_no++) { |
| 202 | auto &struct_vec = *struct_entries[struct_col_no]; |
| 203 | UnifiedVectorFormat struct_col; |
| 204 | struct_vec.ToUnifiedFormat(count: original_count, data&: struct_col); |
| 205 | TemplatedMatchOp<OP, NO_MATCH_SEL>(struct_vec, struct_col, struct_layout, struct_rows, sel, count, |
| 206 | struct_col_no, no_match, no_match_count, original_count); |
| 207 | } |
| 208 | } |
| 209 | |
| 210 | template <class OP, bool NO_MATCH_SEL> |
| 211 | static void TemplatedMatchList(Vector &col, Vector &rows, SelectionVector &sel, idx_t &count, |
| 212 | const TupleDataLayout &layout, const idx_t col_no, SelectionVector *no_match, |
| 213 | idx_t &no_match_count) { |
| 214 | // Gather a dense Vector containing the column values being matched |
| 215 | Vector key(col.GetType()); |
| 216 | const auto gather_function = TupleDataCollection::GetGatherFunction(type: col.GetType()); |
| 217 | gather_function.function(layout, rows, col_no, sel, count, key, *FlatVector::IncrementalSelectionVector(), key, |
| 218 | gather_function.child_functions); |
| 219 | |
| 220 | // Densify the input column |
| 221 | Vector sliced(col, sel, count); |
| 222 | |
| 223 | if (NO_MATCH_SEL) { |
| 224 | SelectionVector no_match_sel_offset(no_match->data() + no_match_count); |
| 225 | auto match_count = SelectComparison<OP>(sliced, key, sel, count, &sel, &no_match_sel_offset); |
| 226 | no_match_count += count - match_count; |
| 227 | count = match_count; |
| 228 | } else { |
| 229 | count = SelectComparison<OP>(sliced, key, sel, count, &sel, nullptr); |
| 230 | } |
| 231 | } |
| 232 | |
| 233 | template <class OP, bool NO_MATCH_SEL> |
| 234 | static void TemplatedMatchOp(Vector &vec, UnifiedVectorFormat &col, const TupleDataLayout &layout, Vector &rows, |
| 235 | SelectionVector &sel, idx_t &count, idx_t col_no, SelectionVector *no_match, |
| 236 | idx_t &no_match_count, const idx_t original_count) { |
| 237 | if (count == 0) { |
| 238 | return; |
| 239 | } |
| 240 | auto col_offset = layout.GetOffsets()[col_no]; |
| 241 | switch (layout.GetTypes()[col_no].InternalType()) { |
| 242 | case PhysicalType::BOOL: |
| 243 | case PhysicalType::INT8: |
| 244 | TemplatedMatchType<int8_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 245 | no_match_count); |
| 246 | break; |
| 247 | case PhysicalType::INT16: |
| 248 | TemplatedMatchType<int16_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 249 | no_match_count); |
| 250 | break; |
| 251 | case PhysicalType::INT32: |
| 252 | TemplatedMatchType<int32_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 253 | no_match_count); |
| 254 | break; |
| 255 | case PhysicalType::INT64: |
| 256 | TemplatedMatchType<int64_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 257 | no_match_count); |
| 258 | break; |
| 259 | case PhysicalType::UINT8: |
| 260 | TemplatedMatchType<uint8_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 261 | no_match_count); |
| 262 | break; |
| 263 | case PhysicalType::UINT16: |
| 264 | TemplatedMatchType<uint16_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 265 | no_match_count); |
| 266 | break; |
| 267 | case PhysicalType::UINT32: |
| 268 | TemplatedMatchType<uint32_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 269 | no_match_count); |
| 270 | break; |
| 271 | case PhysicalType::UINT64: |
| 272 | TemplatedMatchType<uint64_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 273 | no_match_count); |
| 274 | break; |
| 275 | case PhysicalType::INT128: |
| 276 | TemplatedMatchType<hugeint_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 277 | no_match_count); |
| 278 | break; |
| 279 | case PhysicalType::FLOAT: |
| 280 | TemplatedMatchType<float, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 281 | no_match_count); |
| 282 | break; |
| 283 | case PhysicalType::DOUBLE: |
| 284 | TemplatedMatchType<double, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 285 | no_match_count); |
| 286 | break; |
| 287 | case PhysicalType::INTERVAL: |
| 288 | TemplatedMatchType<interval_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 289 | no_match_count); |
| 290 | break; |
| 291 | case PhysicalType::VARCHAR: |
| 292 | TemplatedMatchType<string_t, OP, NO_MATCH_SEL>(col, rows, sel, count, col_offset, col_no, no_match, |
| 293 | no_match_count); |
| 294 | break; |
| 295 | case PhysicalType::STRUCT: |
| 296 | TemplatedMatchStruct<OP, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, no_match_count, |
| 297 | original_count); |
| 298 | break; |
| 299 | case PhysicalType::LIST: |
| 300 | TemplatedMatchList<OP, NO_MATCH_SEL>(vec, rows, sel, count, layout, col_no, no_match, no_match_count); |
| 301 | break; |
| 302 | default: |
| 303 | throw InternalException("Unsupported column type for RowOperations::Match" ); |
| 304 | } |
| 305 | } |
| 306 | |
| 307 | template <bool NO_MATCH_SEL> |
| 308 | static void TemplatedMatch(DataChunk &columns, UnifiedVectorFormat col_data[], const TupleDataLayout &layout, |
| 309 | Vector &rows, const Predicates &predicates, SelectionVector &sel, idx_t &count, |
| 310 | SelectionVector *no_match, idx_t &no_match_count) { |
| 311 | for (idx_t col_no = 0; col_no < predicates.size(); ++col_no) { |
| 312 | auto &vec = columns.data[col_no]; |
| 313 | auto &col = col_data[col_no]; |
| 314 | switch (predicates[col_no]) { |
| 315 | case ExpressionType::COMPARE_EQUAL: |
| 316 | case ExpressionType::COMPARE_NOT_DISTINCT_FROM: |
| 317 | case ExpressionType::COMPARE_DISTINCT_FROM: |
| 318 | TemplatedMatchOp<Equals, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, no_match_count, |
| 319 | count); |
| 320 | break; |
| 321 | case ExpressionType::COMPARE_NOTEQUAL: |
| 322 | TemplatedMatchOp<NotEquals, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, |
| 323 | no_match_count, count); |
| 324 | break; |
| 325 | case ExpressionType::COMPARE_GREATERTHAN: |
| 326 | TemplatedMatchOp<GreaterThan, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, |
| 327 | no_match_count, count); |
| 328 | break; |
| 329 | case ExpressionType::COMPARE_GREATERTHANOREQUALTO: |
| 330 | TemplatedMatchOp<GreaterThanEquals, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, |
| 331 | no_match_count, count); |
| 332 | break; |
| 333 | case ExpressionType::COMPARE_LESSTHAN: |
| 334 | TemplatedMatchOp<LessThan, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, |
| 335 | no_match_count, count); |
| 336 | break; |
| 337 | case ExpressionType::COMPARE_LESSTHANOREQUALTO: |
| 338 | TemplatedMatchOp<LessThanEquals, NO_MATCH_SEL>(vec, col, layout, rows, sel, count, col_no, no_match, |
| 339 | no_match_count, count); |
| 340 | break; |
| 341 | default: |
| 342 | throw InternalException("Unsupported comparison type for RowOperations::Match" ); |
| 343 | } |
| 344 | } |
| 345 | } |
| 346 | |
| 347 | idx_t RowOperations::Match(DataChunk &columns, UnifiedVectorFormat col_data[], const TupleDataLayout &layout, |
| 348 | Vector &rows, const Predicates &predicates, SelectionVector &sel, idx_t count, |
| 349 | SelectionVector *no_match, idx_t &no_match_count) { |
| 350 | if (no_match) { |
| 351 | TemplatedMatch<true>(columns, col_data, layout, rows, predicates, sel, count, no_match, no_match_count); |
| 352 | } else { |
| 353 | TemplatedMatch<false>(columns, col_data, layout, rows, predicates, sel, count, no_match, no_match_count); |
| 354 | } |
| 355 | |
| 356 | return count; |
| 357 | } |
| 358 | |
| 359 | } // namespace duckdb |
| 360 | |