sqlglot.planner
1from __future__ import annotations 2 3import math 4import typing as t 5 6from sqlglot import alias, exp 7from sqlglot.helper import name_sequence 8from sqlglot.optimizer.eliminate_joins import join_condition 9 10 11class Plan: 12 def __init__(self, expression: exp.Expression) -> None: 13 self.expression = expression.copy() 14 self.root = Step.from_expression(self.expression) 15 self._dag: t.Dict[Step, t.Set[Step]] = {} 16 17 @property 18 def dag(self) -> t.Dict[Step, t.Set[Step]]: 19 if not self._dag: 20 dag: t.Dict[Step, t.Set[Step]] = {} 21 nodes = {self.root} 22 23 while nodes: 24 node = nodes.pop() 25 dag[node] = set() 26 27 for dep in node.dependencies: 28 dag[node].add(dep) 29 nodes.add(dep) 30 31 self._dag = dag 32 33 return self._dag 34 35 @property 36 def leaves(self) -> t.Iterator[Step]: 37 return (node for node, deps in self.dag.items() if not deps) 38 39 def __repr__(self) -> str: 40 return f"Plan\n----\n{repr(self.root)}" 41 42 43class Step: 44 @classmethod 45 def from_expression( 46 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 47 ) -> Step: 48 """ 49 Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. 50 Note: the expression's tables and subqueries must be aliased for this method to work. For 51 example, given the following expression: 52 53 SELECT 54 x.a, 55 SUM(x.b) 56 FROM x AS x 57 JOIN y AS y 58 ON x.a = y.a 59 GROUP BY x.a 60 61 the following DAG is produced (the expression IDs might differ per execution): 62 63 - Aggregate: x (4347984624) 64 Context: 65 Aggregations: 66 - SUM(x.b) 67 Group: 68 - x.a 69 Projections: 70 - x.a 71 - "x"."" 72 Dependencies: 73 - Join: x (4347985296) 74 Context: 75 y: 76 On: x.a = y.a 77 Projections: 78 Dependencies: 79 - Scan: x (4347983136) 80 Context: 81 Source: x AS x 82 Projections: 83 - Scan: y (4343416624) 84 Context: 85 Source: y AS y 86 Projections: 87 88 Args: 89 expression: the expression to build the DAG from. 90 ctes: a dictionary that maps CTEs to their corresponding Step DAG by name. 91 92 Returns: 93 A Step DAG corresponding to `expression`. 94 """ 95 ctes = ctes or {} 96 expression = expression.unnest() 97 with_ = expression.args.get("with") 98 99 # CTEs break the mold of scope and introduce themselves to all in the context. 100 if with_: 101 ctes = ctes.copy() 102 for cte in with_.expressions: 103 step = Step.from_expression(cte.this, ctes) 104 step.name = cte.alias 105 ctes[step.name] = step # type: ignore 106 107 from_ = expression.args.get("from") 108 109 if isinstance(expression, exp.Select) and from_: 110 step = Scan.from_expression(from_.this, ctes) 111 elif isinstance(expression, exp.SetOperation): 112 step = SetOperation.from_expression(expression, ctes) 113 else: 114 step = Scan() 115 116 joins = expression.args.get("joins") 117 118 if joins: 119 join = Join.from_joins(joins, ctes) 120 join.name = step.name 121 join.source_name = step.name 122 join.add_dependency(step) 123 step = join 124 125 projections = [] # final selects in this chain of steps representing a select 126 operands = {} # intermediate computations of agg funcs eg x + 1 in SUM(x + 1) 127 aggregations = {} 128 next_operand_name = name_sequence("_a_") 129 130 def extract_agg_operands(expression): 131 agg_funcs = tuple(expression.find_all(exp.AggFunc)) 132 if agg_funcs: 133 aggregations[expression] = None 134 135 for agg in agg_funcs: 136 for operand in agg.unnest_operands(): 137 if isinstance(operand, exp.Column): 138 continue 139 if operand not in operands: 140 operands[operand] = next_operand_name() 141 142 operand.replace(exp.column(operands[operand], quoted=True)) 143 144 return bool(agg_funcs) 145 146 def set_ops_and_aggs(step): 147 step.operands = tuple(alias(operand, alias_) for operand, alias_ in operands.items()) 148 step.aggregations = list(aggregations) 149 150 for e in expression.expressions: 151 if e.find(exp.AggFunc): 152 projections.append(exp.column(e.alias_or_name, step.name, quoted=True)) 153 extract_agg_operands(e) 154 else: 155 projections.append(e) 156 157 where = expression.args.get("where") 158 159 if where: 160 step.condition = where.this 161 162 group = expression.args.get("group") 163 164 if group or aggregations: 165 aggregate = Aggregate() 166 aggregate.source = step.name 167 aggregate.name = step.name 168 169 having = expression.args.get("having") 170 171 if having: 172 if extract_agg_operands(exp.alias_(having.this, "_h", quoted=True)): 173 aggregate.condition = exp.column("_h", step.name, quoted=True) 174 else: 175 aggregate.condition = having.this 176 177 set_ops_and_aggs(aggregate) 178 179 # give aggregates names and replace projections with references to them 180 aggregate.group = { 181 f"_g{i}": e for i, e in enumerate(group.expressions if group else []) 182 } 183 184 intermediate: t.Dict[str | exp.Expression, str] = {} 185 for k, v in aggregate.group.items(): 186 intermediate[v] = k 187 if isinstance(v, exp.Column): 188 intermediate[v.name] = k 189 190 for projection in projections: 191 for node in projection.walk(): 192 name = intermediate.get(node) 193 if name: 194 node.replace(exp.column(name, step.name)) 195 196 if aggregate.condition: 197 for node in aggregate.condition.walk(): 198 name = intermediate.get(node) or intermediate.get(node.name) 199 if name: 200 node.replace(exp.column(name, step.name)) 201 202 aggregate.add_dependency(step) 203 step = aggregate 204 205 order = expression.args.get("order") 206 207 if order: 208 if isinstance(step, Aggregate): 209 for i, ordered in enumerate(order.expressions): 210 if extract_agg_operands(exp.alias_(ordered.this, f"_o_{i}", quoted=True)): 211 ordered.this.replace(exp.column(f"_o_{i}", step.name, quoted=True)) 212 213 set_ops_and_aggs(aggregate) 214 215 sort = Sort() 216 sort.name = step.name 217 sort.key = order.expressions 218 sort.add_dependency(step) 219 step = sort 220 221 step.projections = projections 222 223 if isinstance(expression, exp.Select) and expression.args.get("distinct"): 224 distinct = Aggregate() 225 distinct.source = step.name 226 distinct.name = step.name 227 distinct.group = { 228 e.alias_or_name: exp.column(col=e.alias_or_name, table=step.name) 229 for e in projections or expression.expressions 230 } 231 distinct.add_dependency(step) 232 step = distinct 233 234 limit = expression.args.get("limit") 235 236 if limit: 237 step.limit = int(limit.text("expression")) 238 239 return step 240 241 def __init__(self) -> None: 242 self.name: t.Optional[str] = None 243 self.dependencies: t.Set[Step] = set() 244 self.dependents: t.Set[Step] = set() 245 self.projections: t.Sequence[exp.Expression] = [] 246 self.limit: float = math.inf 247 self.condition: t.Optional[exp.Expression] = None 248 249 def add_dependency(self, dependency: Step) -> None: 250 self.dependencies.add(dependency) 251 dependency.dependents.add(self) 252 253 def __repr__(self) -> str: 254 return self.to_s() 255 256 def to_s(self, level: int = 0) -> str: 257 indent = " " * level 258 nested = f"{indent} " 259 260 context = self._to_s(f"{nested} ") 261 262 if context: 263 context = [f"{nested}Context:"] + context 264 265 lines = [ 266 f"{indent}- {self.id}", 267 *context, 268 f"{nested}Projections:", 269 ] 270 271 for expression in self.projections: 272 lines.append(f"{nested} - {expression.sql()}") 273 274 if self.condition: 275 lines.append(f"{nested}Condition: {self.condition.sql()}") 276 277 if self.limit is not math.inf: 278 lines.append(f"{nested}Limit: {self.limit}") 279 280 if self.dependencies: 281 lines.append(f"{nested}Dependencies:") 282 for dependency in self.dependencies: 283 lines.append(" " + dependency.to_s(level + 1)) 284 285 return "\n".join(lines) 286 287 @property 288 def type_name(self) -> str: 289 return self.__class__.__name__ 290 291 @property 292 def id(self) -> str: 293 name = self.name 294 name = f" {name}" if name else "" 295 return f"{self.type_name}:{name} ({id(self)})" 296 297 def _to_s(self, _indent: str) -> t.List[str]: 298 return [] 299 300 301class Scan(Step): 302 @classmethod 303 def from_expression( 304 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 305 ) -> Step: 306 table = expression 307 alias_ = expression.alias_or_name 308 309 if isinstance(expression, exp.Subquery): 310 table = expression.this 311 step = Step.from_expression(table, ctes) 312 step.name = alias_ 313 return step 314 315 step = Scan() 316 step.name = alias_ 317 step.source = expression 318 if ctes and table.name in ctes: 319 step.add_dependency(ctes[table.name]) 320 321 return step 322 323 def __init__(self) -> None: 324 super().__init__() 325 self.source: t.Optional[exp.Expression] = None 326 327 def _to_s(self, indent: str) -> t.List[str]: 328 return [f"{indent}Source: {self.source.sql() if self.source else '-static-'}"] # type: ignore 329 330 331class Join(Step): 332 @classmethod 333 def from_joins( 334 cls, joins: t.Iterable[exp.Join], ctes: t.Optional[t.Dict[str, Step]] = None 335 ) -> Join: 336 step = Join() 337 338 for join in joins: 339 source_key, join_key, condition = join_condition(join) 340 step.joins[join.alias_or_name] = { 341 "side": join.side, # type: ignore 342 "join_key": join_key, 343 "source_key": source_key, 344 "condition": condition, 345 } 346 347 step.add_dependency(Scan.from_expression(join.this, ctes)) 348 349 return step 350 351 def __init__(self) -> None: 352 super().__init__() 353 self.source_name: t.Optional[str] = None 354 self.joins: t.Dict[str, t.Dict[str, t.List[str] | exp.Expression]] = {} 355 356 def _to_s(self, indent: str) -> t.List[str]: 357 lines = [f"{indent}Source: {self.source_name or self.name}"] 358 for name, join in self.joins.items(): 359 lines.append(f"{indent}{name}: {join['side'] or 'INNER'}") 360 join_key = ", ".join(str(key) for key in t.cast(list, join.get("join_key") or [])) 361 if join_key: 362 lines.append(f"{indent}Key: {join_key}") 363 if join.get("condition"): 364 lines.append(f"{indent}On: {join['condition'].sql()}") # type: ignore 365 return lines 366 367 368class Aggregate(Step): 369 def __init__(self) -> None: 370 super().__init__() 371 self.aggregations: t.List[exp.Expression] = [] 372 self.operands: t.Tuple[exp.Expression, ...] = () 373 self.group: t.Dict[str, exp.Expression] = {} 374 self.source: t.Optional[str] = None 375 376 def _to_s(self, indent: str) -> t.List[str]: 377 lines = [f"{indent}Aggregations:"] 378 379 for expression in self.aggregations: 380 lines.append(f"{indent} - {expression.sql()}") 381 382 if self.group: 383 lines.append(f"{indent}Group:") 384 for expression in self.group.values(): 385 lines.append(f"{indent} - {expression.sql()}") 386 if self.condition: 387 lines.append(f"{indent}Having:") 388 lines.append(f"{indent} - {self.condition.sql()}") 389 if self.operands: 390 lines.append(f"{indent}Operands:") 391 for expression in self.operands: 392 lines.append(f"{indent} - {expression.sql()}") 393 394 return lines 395 396 397class Sort(Step): 398 def __init__(self) -> None: 399 super().__init__() 400 self.key = None 401 402 def _to_s(self, indent: str) -> t.List[str]: 403 lines = [f"{indent}Key:"] 404 405 for expression in self.key: # type: ignore 406 lines.append(f"{indent} - {expression.sql()}") 407 408 return lines 409 410 411class SetOperation(Step): 412 def __init__( 413 self, 414 op: t.Type[exp.Expression], 415 left: str | None, 416 right: str | None, 417 distinct: bool = False, 418 ) -> None: 419 super().__init__() 420 self.op = op 421 self.left = left 422 self.right = right 423 self.distinct = distinct 424 425 @classmethod 426 def from_expression( 427 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 428 ) -> SetOperation: 429 assert isinstance(expression, exp.SetOperation) 430 431 left = Step.from_expression(expression.left, ctes) 432 # SELECT 1 UNION SELECT 2 <-- these subqueries don't have names 433 left.name = left.name or "left" 434 right = Step.from_expression(expression.right, ctes) 435 right.name = right.name or "right" 436 step = cls( 437 op=expression.__class__, 438 left=left.name, 439 right=right.name, 440 distinct=bool(expression.args.get("distinct")), 441 ) 442 443 step.add_dependency(left) 444 step.add_dependency(right) 445 446 limit = expression.args.get("limit") 447 448 if limit: 449 step.limit = int(limit.text("expression")) 450 451 return step 452 453 def _to_s(self, indent: str) -> t.List[str]: 454 lines = [] 455 if self.distinct: 456 lines.append(f"{indent}Distinct: {self.distinct}") 457 return lines 458 459 @property 460 def type_name(self) -> str: 461 return self.op.__name__
12class Plan: 13 def __init__(self, expression: exp.Expression) -> None: 14 self.expression = expression.copy() 15 self.root = Step.from_expression(self.expression) 16 self._dag: t.Dict[Step, t.Set[Step]] = {} 17 18 @property 19 def dag(self) -> t.Dict[Step, t.Set[Step]]: 20 if not self._dag: 21 dag: t.Dict[Step, t.Set[Step]] = {} 22 nodes = {self.root} 23 24 while nodes: 25 node = nodes.pop() 26 dag[node] = set() 27 28 for dep in node.dependencies: 29 dag[node].add(dep) 30 nodes.add(dep) 31 32 self._dag = dag 33 34 return self._dag 35 36 @property 37 def leaves(self) -> t.Iterator[Step]: 38 return (node for node, deps in self.dag.items() if not deps) 39 40 def __repr__(self) -> str: 41 return f"Plan\n----\n{repr(self.root)}"
18 @property 19 def dag(self) -> t.Dict[Step, t.Set[Step]]: 20 if not self._dag: 21 dag: t.Dict[Step, t.Set[Step]] = {} 22 nodes = {self.root} 23 24 while nodes: 25 node = nodes.pop() 26 dag[node] = set() 27 28 for dep in node.dependencies: 29 dag[node].add(dep) 30 nodes.add(dep) 31 32 self._dag = dag 33 34 return self._dag
44class Step: 45 @classmethod 46 def from_expression( 47 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 48 ) -> Step: 49 """ 50 Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. 51 Note: the expression's tables and subqueries must be aliased for this method to work. For 52 example, given the following expression: 53 54 SELECT 55 x.a, 56 SUM(x.b) 57 FROM x AS x 58 JOIN y AS y 59 ON x.a = y.a 60 GROUP BY x.a 61 62 the following DAG is produced (the expression IDs might differ per execution): 63 64 - Aggregate: x (4347984624) 65 Context: 66 Aggregations: 67 - SUM(x.b) 68 Group: 69 - x.a 70 Projections: 71 - x.a 72 - "x"."" 73 Dependencies: 74 - Join: x (4347985296) 75 Context: 76 y: 77 On: x.a = y.a 78 Projections: 79 Dependencies: 80 - Scan: x (4347983136) 81 Context: 82 Source: x AS x 83 Projections: 84 - Scan: y (4343416624) 85 Context: 86 Source: y AS y 87 Projections: 88 89 Args: 90 expression: the expression to build the DAG from. 91 ctes: a dictionary that maps CTEs to their corresponding Step DAG by name. 92 93 Returns: 94 A Step DAG corresponding to `expression`. 95 """ 96 ctes = ctes or {} 97 expression = expression.unnest() 98 with_ = expression.args.get("with") 99 100 # CTEs break the mold of scope and introduce themselves to all in the context. 101 if with_: 102 ctes = ctes.copy() 103 for cte in with_.expressions: 104 step = Step.from_expression(cte.this, ctes) 105 step.name = cte.alias 106 ctes[step.name] = step # type: ignore 107 108 from_ = expression.args.get("from") 109 110 if isinstance(expression, exp.Select) and from_: 111 step = Scan.from_expression(from_.this, ctes) 112 elif isinstance(expression, exp.SetOperation): 113 step = SetOperation.from_expression(expression, ctes) 114 else: 115 step = Scan() 116 117 joins = expression.args.get("joins") 118 119 if joins: 120 join = Join.from_joins(joins, ctes) 121 join.name = step.name 122 join.source_name = step.name 123 join.add_dependency(step) 124 step = join 125 126 projections = [] # final selects in this chain of steps representing a select 127 operands = {} # intermediate computations of agg funcs eg x + 1 in SUM(x + 1) 128 aggregations = {} 129 next_operand_name = name_sequence("_a_") 130 131 def extract_agg_operands(expression): 132 agg_funcs = tuple(expression.find_all(exp.AggFunc)) 133 if agg_funcs: 134 aggregations[expression] = None 135 136 for agg in agg_funcs: 137 for operand in agg.unnest_operands(): 138 if isinstance(operand, exp.Column): 139 continue 140 if operand not in operands: 141 operands[operand] = next_operand_name() 142 143 operand.replace(exp.column(operands[operand], quoted=True)) 144 145 return bool(agg_funcs) 146 147 def set_ops_and_aggs(step): 148 step.operands = tuple(alias(operand, alias_) for operand, alias_ in operands.items()) 149 step.aggregations = list(aggregations) 150 151 for e in expression.expressions: 152 if e.find(exp.AggFunc): 153 projections.append(exp.column(e.alias_or_name, step.name, quoted=True)) 154 extract_agg_operands(e) 155 else: 156 projections.append(e) 157 158 where = expression.args.get("where") 159 160 if where: 161 step.condition = where.this 162 163 group = expression.args.get("group") 164 165 if group or aggregations: 166 aggregate = Aggregate() 167 aggregate.source = step.name 168 aggregate.name = step.name 169 170 having = expression.args.get("having") 171 172 if having: 173 if extract_agg_operands(exp.alias_(having.this, "_h", quoted=True)): 174 aggregate.condition = exp.column("_h", step.name, quoted=True) 175 else: 176 aggregate.condition = having.this 177 178 set_ops_and_aggs(aggregate) 179 180 # give aggregates names and replace projections with references to them 181 aggregate.group = { 182 f"_g{i}": e for i, e in enumerate(group.expressions if group else []) 183 } 184 185 intermediate: t.Dict[str | exp.Expression, str] = {} 186 for k, v in aggregate.group.items(): 187 intermediate[v] = k 188 if isinstance(v, exp.Column): 189 intermediate[v.name] = k 190 191 for projection in projections: 192 for node in projection.walk(): 193 name = intermediate.get(node) 194 if name: 195 node.replace(exp.column(name, step.name)) 196 197 if aggregate.condition: 198 for node in aggregate.condition.walk(): 199 name = intermediate.get(node) or intermediate.get(node.name) 200 if name: 201 node.replace(exp.column(name, step.name)) 202 203 aggregate.add_dependency(step) 204 step = aggregate 205 206 order = expression.args.get("order") 207 208 if order: 209 if isinstance(step, Aggregate): 210 for i, ordered in enumerate(order.expressions): 211 if extract_agg_operands(exp.alias_(ordered.this, f"_o_{i}", quoted=True)): 212 ordered.this.replace(exp.column(f"_o_{i}", step.name, quoted=True)) 213 214 set_ops_and_aggs(aggregate) 215 216 sort = Sort() 217 sort.name = step.name 218 sort.key = order.expressions 219 sort.add_dependency(step) 220 step = sort 221 222 step.projections = projections 223 224 if isinstance(expression, exp.Select) and expression.args.get("distinct"): 225 distinct = Aggregate() 226 distinct.source = step.name 227 distinct.name = step.name 228 distinct.group = { 229 e.alias_or_name: exp.column(col=e.alias_or_name, table=step.name) 230 for e in projections or expression.expressions 231 } 232 distinct.add_dependency(step) 233 step = distinct 234 235 limit = expression.args.get("limit") 236 237 if limit: 238 step.limit = int(limit.text("expression")) 239 240 return step 241 242 def __init__(self) -> None: 243 self.name: t.Optional[str] = None 244 self.dependencies: t.Set[Step] = set() 245 self.dependents: t.Set[Step] = set() 246 self.projections: t.Sequence[exp.Expression] = [] 247 self.limit: float = math.inf 248 self.condition: t.Optional[exp.Expression] = None 249 250 def add_dependency(self, dependency: Step) -> None: 251 self.dependencies.add(dependency) 252 dependency.dependents.add(self) 253 254 def __repr__(self) -> str: 255 return self.to_s() 256 257 def to_s(self, level: int = 0) -> str: 258 indent = " " * level 259 nested = f"{indent} " 260 261 context = self._to_s(f"{nested} ") 262 263 if context: 264 context = [f"{nested}Context:"] + context 265 266 lines = [ 267 f"{indent}- {self.id}", 268 *context, 269 f"{nested}Projections:", 270 ] 271 272 for expression in self.projections: 273 lines.append(f"{nested} - {expression.sql()}") 274 275 if self.condition: 276 lines.append(f"{nested}Condition: {self.condition.sql()}") 277 278 if self.limit is not math.inf: 279 lines.append(f"{nested}Limit: {self.limit}") 280 281 if self.dependencies: 282 lines.append(f"{nested}Dependencies:") 283 for dependency in self.dependencies: 284 lines.append(" " + dependency.to_s(level + 1)) 285 286 return "\n".join(lines) 287 288 @property 289 def type_name(self) -> str: 290 return self.__class__.__name__ 291 292 @property 293 def id(self) -> str: 294 name = self.name 295 name = f" {name}" if name else "" 296 return f"{self.type_name}:{name} ({id(self)})" 297 298 def _to_s(self, _indent: str) -> t.List[str]: 299 return []
45 @classmethod 46 def from_expression( 47 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 48 ) -> Step: 49 """ 50 Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. 51 Note: the expression's tables and subqueries must be aliased for this method to work. For 52 example, given the following expression: 53 54 SELECT 55 x.a, 56 SUM(x.b) 57 FROM x AS x 58 JOIN y AS y 59 ON x.a = y.a 60 GROUP BY x.a 61 62 the following DAG is produced (the expression IDs might differ per execution): 63 64 - Aggregate: x (4347984624) 65 Context: 66 Aggregations: 67 - SUM(x.b) 68 Group: 69 - x.a 70 Projections: 71 - x.a 72 - "x"."" 73 Dependencies: 74 - Join: x (4347985296) 75 Context: 76 y: 77 On: x.a = y.a 78 Projections: 79 Dependencies: 80 - Scan: x (4347983136) 81 Context: 82 Source: x AS x 83 Projections: 84 - Scan: y (4343416624) 85 Context: 86 Source: y AS y 87 Projections: 88 89 Args: 90 expression: the expression to build the DAG from. 91 ctes: a dictionary that maps CTEs to their corresponding Step DAG by name. 92 93 Returns: 94 A Step DAG corresponding to `expression`. 95 """ 96 ctes = ctes or {} 97 expression = expression.unnest() 98 with_ = expression.args.get("with") 99 100 # CTEs break the mold of scope and introduce themselves to all in the context. 101 if with_: 102 ctes = ctes.copy() 103 for cte in with_.expressions: 104 step = Step.from_expression(cte.this, ctes) 105 step.name = cte.alias 106 ctes[step.name] = step # type: ignore 107 108 from_ = expression.args.get("from") 109 110 if isinstance(expression, exp.Select) and from_: 111 step = Scan.from_expression(from_.this, ctes) 112 elif isinstance(expression, exp.SetOperation): 113 step = SetOperation.from_expression(expression, ctes) 114 else: 115 step = Scan() 116 117 joins = expression.args.get("joins") 118 119 if joins: 120 join = Join.from_joins(joins, ctes) 121 join.name = step.name 122 join.source_name = step.name 123 join.add_dependency(step) 124 step = join 125 126 projections = [] # final selects in this chain of steps representing a select 127 operands = {} # intermediate computations of agg funcs eg x + 1 in SUM(x + 1) 128 aggregations = {} 129 next_operand_name = name_sequence("_a_") 130 131 def extract_agg_operands(expression): 132 agg_funcs = tuple(expression.find_all(exp.AggFunc)) 133 if agg_funcs: 134 aggregations[expression] = None 135 136 for agg in agg_funcs: 137 for operand in agg.unnest_operands(): 138 if isinstance(operand, exp.Column): 139 continue 140 if operand not in operands: 141 operands[operand] = next_operand_name() 142 143 operand.replace(exp.column(operands[operand], quoted=True)) 144 145 return bool(agg_funcs) 146 147 def set_ops_and_aggs(step): 148 step.operands = tuple(alias(operand, alias_) for operand, alias_ in operands.items()) 149 step.aggregations = list(aggregations) 150 151 for e in expression.expressions: 152 if e.find(exp.AggFunc): 153 projections.append(exp.column(e.alias_or_name, step.name, quoted=True)) 154 extract_agg_operands(e) 155 else: 156 projections.append(e) 157 158 where = expression.args.get("where") 159 160 if where: 161 step.condition = where.this 162 163 group = expression.args.get("group") 164 165 if group or aggregations: 166 aggregate = Aggregate() 167 aggregate.source = step.name 168 aggregate.name = step.name 169 170 having = expression.args.get("having") 171 172 if having: 173 if extract_agg_operands(exp.alias_(having.this, "_h", quoted=True)): 174 aggregate.condition = exp.column("_h", step.name, quoted=True) 175 else: 176 aggregate.condition = having.this 177 178 set_ops_and_aggs(aggregate) 179 180 # give aggregates names and replace projections with references to them 181 aggregate.group = { 182 f"_g{i}": e for i, e in enumerate(group.expressions if group else []) 183 } 184 185 intermediate: t.Dict[str | exp.Expression, str] = {} 186 for k, v in aggregate.group.items(): 187 intermediate[v] = k 188 if isinstance(v, exp.Column): 189 intermediate[v.name] = k 190 191 for projection in projections: 192 for node in projection.walk(): 193 name = intermediate.get(node) 194 if name: 195 node.replace(exp.column(name, step.name)) 196 197 if aggregate.condition: 198 for node in aggregate.condition.walk(): 199 name = intermediate.get(node) or intermediate.get(node.name) 200 if name: 201 node.replace(exp.column(name, step.name)) 202 203 aggregate.add_dependency(step) 204 step = aggregate 205 206 order = expression.args.get("order") 207 208 if order: 209 if isinstance(step, Aggregate): 210 for i, ordered in enumerate(order.expressions): 211 if extract_agg_operands(exp.alias_(ordered.this, f"_o_{i}", quoted=True)): 212 ordered.this.replace(exp.column(f"_o_{i}", step.name, quoted=True)) 213 214 set_ops_and_aggs(aggregate) 215 216 sort = Sort() 217 sort.name = step.name 218 sort.key = order.expressions 219 sort.add_dependency(step) 220 step = sort 221 222 step.projections = projections 223 224 if isinstance(expression, exp.Select) and expression.args.get("distinct"): 225 distinct = Aggregate() 226 distinct.source = step.name 227 distinct.name = step.name 228 distinct.group = { 229 e.alias_or_name: exp.column(col=e.alias_or_name, table=step.name) 230 for e in projections or expression.expressions 231 } 232 distinct.add_dependency(step) 233 step = distinct 234 235 limit = expression.args.get("limit") 236 237 if limit: 238 step.limit = int(limit.text("expression")) 239 240 return step
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. Note: the expression's tables and subqueries must be aliased for this method to work. For example, given the following expression:
SELECT x.a, SUM(x.b) FROM x AS x JOIN y AS y ON x.a = y.a GROUP BY x.a
the following DAG is produced (the expression IDs might differ per execution):
- Aggregate: x (4347984624)
Context:
Aggregations:
- SUM(x.b)
Group:
- x.a
Projections:
- x.a
- "x".""
Dependencies:
- Join: x (4347985296) Context: y: On: x.a = y.a Projections: Dependencies:
- Scan: x (4347983136) Context: Source: x AS x Projections:
- Scan: y (4343416624) Context: Source: y AS y Projections:
Arguments:
- expression: the expression to build the DAG from.
- ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
Returns:
A Step DAG corresponding to
expression
.
257 def to_s(self, level: int = 0) -> str: 258 indent = " " * level 259 nested = f"{indent} " 260 261 context = self._to_s(f"{nested} ") 262 263 if context: 264 context = [f"{nested}Context:"] + context 265 266 lines = [ 267 f"{indent}- {self.id}", 268 *context, 269 f"{nested}Projections:", 270 ] 271 272 for expression in self.projections: 273 lines.append(f"{nested} - {expression.sql()}") 274 275 if self.condition: 276 lines.append(f"{nested}Condition: {self.condition.sql()}") 277 278 if self.limit is not math.inf: 279 lines.append(f"{nested}Limit: {self.limit}") 280 281 if self.dependencies: 282 lines.append(f"{nested}Dependencies:") 283 for dependency in self.dependencies: 284 lines.append(" " + dependency.to_s(level + 1)) 285 286 return "\n".join(lines)
302class Scan(Step): 303 @classmethod 304 def from_expression( 305 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 306 ) -> Step: 307 table = expression 308 alias_ = expression.alias_or_name 309 310 if isinstance(expression, exp.Subquery): 311 table = expression.this 312 step = Step.from_expression(table, ctes) 313 step.name = alias_ 314 return step 315 316 step = Scan() 317 step.name = alias_ 318 step.source = expression 319 if ctes and table.name in ctes: 320 step.add_dependency(ctes[table.name]) 321 322 return step 323 324 def __init__(self) -> None: 325 super().__init__() 326 self.source: t.Optional[exp.Expression] = None 327 328 def _to_s(self, indent: str) -> t.List[str]: 329 return [f"{indent}Source: {self.source.sql() if self.source else '-static-'}"] # type: ignore
303 @classmethod 304 def from_expression( 305 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 306 ) -> Step: 307 table = expression 308 alias_ = expression.alias_or_name 309 310 if isinstance(expression, exp.Subquery): 311 table = expression.this 312 step = Step.from_expression(table, ctes) 313 step.name = alias_ 314 return step 315 316 step = Scan() 317 step.name = alias_ 318 step.source = expression 319 if ctes and table.name in ctes: 320 step.add_dependency(ctes[table.name]) 321 322 return step
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. Note: the expression's tables and subqueries must be aliased for this method to work. For example, given the following expression:
SELECT x.a, SUM(x.b) FROM x AS x JOIN y AS y ON x.a = y.a GROUP BY x.a
the following DAG is produced (the expression IDs might differ per execution):
- Aggregate: x (4347984624)
Context:
Aggregations:
- SUM(x.b)
Group:
- x.a
Projections:
- x.a
- "x".""
Dependencies:
- Join: x (4347985296) Context: y: On: x.a = y.a Projections: Dependencies:
- Scan: x (4347983136) Context: Source: x AS x Projections:
- Scan: y (4343416624) Context: Source: y AS y Projections:
Arguments:
- expression: the expression to build the DAG from.
- ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
Returns:
A Step DAG corresponding to
expression
.
Inherited Members
332class Join(Step): 333 @classmethod 334 def from_joins( 335 cls, joins: t.Iterable[exp.Join], ctes: t.Optional[t.Dict[str, Step]] = None 336 ) -> Join: 337 step = Join() 338 339 for join in joins: 340 source_key, join_key, condition = join_condition(join) 341 step.joins[join.alias_or_name] = { 342 "side": join.side, # type: ignore 343 "join_key": join_key, 344 "source_key": source_key, 345 "condition": condition, 346 } 347 348 step.add_dependency(Scan.from_expression(join.this, ctes)) 349 350 return step 351 352 def __init__(self) -> None: 353 super().__init__() 354 self.source_name: t.Optional[str] = None 355 self.joins: t.Dict[str, t.Dict[str, t.List[str] | exp.Expression]] = {} 356 357 def _to_s(self, indent: str) -> t.List[str]: 358 lines = [f"{indent}Source: {self.source_name or self.name}"] 359 for name, join in self.joins.items(): 360 lines.append(f"{indent}{name}: {join['side'] or 'INNER'}") 361 join_key = ", ".join(str(key) for key in t.cast(list, join.get("join_key") or [])) 362 if join_key: 363 lines.append(f"{indent}Key: {join_key}") 364 if join.get("condition"): 365 lines.append(f"{indent}On: {join['condition'].sql()}") # type: ignore 366 return lines
333 @classmethod 334 def from_joins( 335 cls, joins: t.Iterable[exp.Join], ctes: t.Optional[t.Dict[str, Step]] = None 336 ) -> Join: 337 step = Join() 338 339 for join in joins: 340 source_key, join_key, condition = join_condition(join) 341 step.joins[join.alias_or_name] = { 342 "side": join.side, # type: ignore 343 "join_key": join_key, 344 "source_key": source_key, 345 "condition": condition, 346 } 347 348 step.add_dependency(Scan.from_expression(join.this, ctes)) 349 350 return step
Inherited Members
369class Aggregate(Step): 370 def __init__(self) -> None: 371 super().__init__() 372 self.aggregations: t.List[exp.Expression] = [] 373 self.operands: t.Tuple[exp.Expression, ...] = () 374 self.group: t.Dict[str, exp.Expression] = {} 375 self.source: t.Optional[str] = None 376 377 def _to_s(self, indent: str) -> t.List[str]: 378 lines = [f"{indent}Aggregations:"] 379 380 for expression in self.aggregations: 381 lines.append(f"{indent} - {expression.sql()}") 382 383 if self.group: 384 lines.append(f"{indent}Group:") 385 for expression in self.group.values(): 386 lines.append(f"{indent} - {expression.sql()}") 387 if self.condition: 388 lines.append(f"{indent}Having:") 389 lines.append(f"{indent} - {self.condition.sql()}") 390 if self.operands: 391 lines.append(f"{indent}Operands:") 392 for expression in self.operands: 393 lines.append(f"{indent} - {expression.sql()}") 394 395 return lines
Inherited Members
398class Sort(Step): 399 def __init__(self) -> None: 400 super().__init__() 401 self.key = None 402 403 def _to_s(self, indent: str) -> t.List[str]: 404 lines = [f"{indent}Key:"] 405 406 for expression in self.key: # type: ignore 407 lines.append(f"{indent} - {expression.sql()}") 408 409 return lines
Inherited Members
412class SetOperation(Step): 413 def __init__( 414 self, 415 op: t.Type[exp.Expression], 416 left: str | None, 417 right: str | None, 418 distinct: bool = False, 419 ) -> None: 420 super().__init__() 421 self.op = op 422 self.left = left 423 self.right = right 424 self.distinct = distinct 425 426 @classmethod 427 def from_expression( 428 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 429 ) -> SetOperation: 430 assert isinstance(expression, exp.SetOperation) 431 432 left = Step.from_expression(expression.left, ctes) 433 # SELECT 1 UNION SELECT 2 <-- these subqueries don't have names 434 left.name = left.name or "left" 435 right = Step.from_expression(expression.right, ctes) 436 right.name = right.name or "right" 437 step = cls( 438 op=expression.__class__, 439 left=left.name, 440 right=right.name, 441 distinct=bool(expression.args.get("distinct")), 442 ) 443 444 step.add_dependency(left) 445 step.add_dependency(right) 446 447 limit = expression.args.get("limit") 448 449 if limit: 450 step.limit = int(limit.text("expression")) 451 452 return step 453 454 def _to_s(self, indent: str) -> t.List[str]: 455 lines = [] 456 if self.distinct: 457 lines.append(f"{indent}Distinct: {self.distinct}") 458 return lines 459 460 @property 461 def type_name(self) -> str: 462 return self.op.__name__
426 @classmethod 427 def from_expression( 428 cls, expression: exp.Expression, ctes: t.Optional[t.Dict[str, Step]] = None 429 ) -> SetOperation: 430 assert isinstance(expression, exp.SetOperation) 431 432 left = Step.from_expression(expression.left, ctes) 433 # SELECT 1 UNION SELECT 2 <-- these subqueries don't have names 434 left.name = left.name or "left" 435 right = Step.from_expression(expression.right, ctes) 436 right.name = right.name or "right" 437 step = cls( 438 op=expression.__class__, 439 left=left.name, 440 right=right.name, 441 distinct=bool(expression.args.get("distinct")), 442 ) 443 444 step.add_dependency(left) 445 step.add_dependency(right) 446 447 limit = expression.args.get("limit") 448 449 if limit: 450 step.limit = int(limit.text("expression")) 451 452 return step
Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine. Note: the expression's tables and subqueries must be aliased for this method to work. For example, given the following expression:
SELECT x.a, SUM(x.b) FROM x AS x JOIN y AS y ON x.a = y.a GROUP BY x.a
the following DAG is produced (the expression IDs might differ per execution):
- Aggregate: x (4347984624)
Context:
Aggregations:
- SUM(x.b)
Group:
- x.a
Projections:
- x.a
- "x".""
Dependencies:
- Join: x (4347985296) Context: y: On: x.a = y.a Projections: Dependencies:
- Scan: x (4347983136) Context: Source: x AS x Projections:
- Scan: y (4343416624) Context: Source: y AS y Projections:
Arguments:
- expression: the expression to build the DAG from.
- ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
Returns:
A Step DAG corresponding to
expression
.