Line data Source code
1 : /*-------------------------------------------------------------------------
2 : *
3 : * pathnode.c
4 : * Routines to manipulate pathlists and create path nodes
5 : *
6 : * Portions Copyright (c) 1996-2026, PostgreSQL Global Development Group
7 : * Portions Copyright (c) 1994, Regents of the University of California
8 : *
9 : *
10 : * IDENTIFICATION
11 : * src/backend/optimizer/util/pathnode.c
12 : *
13 : *-------------------------------------------------------------------------
14 : */
15 : #include "postgres.h"
16 :
17 : #include "access/htup_details.h"
18 : #include "executor/nodeSetOp.h"
19 : #include "foreign/fdwapi.h"
20 : #include "miscadmin.h"
21 : #include "nodes/extensible.h"
22 : #include "optimizer/appendinfo.h"
23 : #include "optimizer/clauses.h"
24 : #include "optimizer/cost.h"
25 : #include "optimizer/optimizer.h"
26 : #include "optimizer/pathnode.h"
27 : #include "optimizer/paths.h"
28 : #include "optimizer/planmain.h"
29 : #include "optimizer/tlist.h"
30 : #include "parser/parsetree.h"
31 : #include "utils/memutils.h"
32 : #include "utils/selfuncs.h"
33 :
34 : typedef enum
35 : {
36 : COSTS_EQUAL, /* path costs are fuzzily equal */
37 : COSTS_BETTER1, /* first path is cheaper than second */
38 : COSTS_BETTER2, /* second path is cheaper than first */
39 : COSTS_DIFFERENT, /* neither path dominates the other on cost */
40 : } PathCostComparison;
41 :
42 : /*
43 : * STD_FUZZ_FACTOR is the normal fuzz factor for compare_path_costs_fuzzily.
44 : * XXX is it worth making this user-controllable? It provides a tradeoff
45 : * between planner runtime and the accuracy of path cost comparisons.
46 : */
47 : #define STD_FUZZ_FACTOR 1.01
48 :
49 : static int append_total_cost_compare(const ListCell *a, const ListCell *b);
50 : static int append_startup_cost_compare(const ListCell *a, const ListCell *b);
51 : static List *reparameterize_pathlist_by_child(PlannerInfo *root,
52 : List *pathlist,
53 : RelOptInfo *child_rel);
54 : static bool pathlist_is_reparameterizable_by_child(List *pathlist,
55 : RelOptInfo *child_rel);
56 :
57 :
58 : /*****************************************************************************
59 : * MISC. PATH UTILITIES
60 : *****************************************************************************/
61 :
62 : /*
63 : * compare_path_costs
64 : * Return -1, 0, or +1 according as path1 is cheaper, the same cost,
65 : * or more expensive than path2 for the specified criterion.
66 : */
67 : int
68 923648 : compare_path_costs(Path *path1, Path *path2, CostSelector criterion)
69 : {
70 : /* Number of disabled nodes, if different, trumps all else. */
71 923648 : if (unlikely(path1->disabled_nodes != path2->disabled_nodes))
72 : {
73 73762 : if (path1->disabled_nodes < path2->disabled_nodes)
74 73754 : return -1;
75 : else
76 8 : return +1;
77 : }
78 :
79 849886 : if (criterion == STARTUP_COST)
80 : {
81 430750 : if (path1->startup_cost < path2->startup_cost)
82 257806 : return -1;
83 172944 : if (path1->startup_cost > path2->startup_cost)
84 83408 : return +1;
85 :
86 : /*
87 : * If paths have the same startup cost (not at all unlikely), order
88 : * them by total cost.
89 : */
90 89536 : if (path1->total_cost < path2->total_cost)
91 43196 : return -1;
92 46340 : if (path1->total_cost > path2->total_cost)
93 4443 : return +1;
94 : }
95 : else
96 : {
97 419136 : if (path1->total_cost < path2->total_cost)
98 387393 : return -1;
99 31743 : if (path1->total_cost > path2->total_cost)
100 8490 : return +1;
101 :
102 : /*
103 : * If paths have the same total cost, order them by startup cost.
104 : */
105 23253 : if (path1->startup_cost < path2->startup_cost)
106 1903 : return -1;
107 21350 : if (path1->startup_cost > path2->startup_cost)
108 96 : return +1;
109 : }
110 63151 : return 0;
111 : }
112 :
113 : /*
114 : * compare_fractional_path_costs
115 : * Return -1, 0, or +1 according as path1 is cheaper, the same cost,
116 : * or more expensive than path2 for fetching the specified fraction
117 : * of the total tuples.
118 : *
119 : * If fraction is <= 0 or > 1, we interpret it as 1, ie, we select the
120 : * path with the cheaper total_cost.
121 : */
122 : int
123 3798 : compare_fractional_path_costs(Path *path1, Path *path2,
124 : double fraction)
125 : {
126 : Cost cost1,
127 : cost2;
128 :
129 : /* Number of disabled nodes, if different, trumps all else. */
130 3798 : if (unlikely(path1->disabled_nodes != path2->disabled_nodes))
131 : {
132 42 : if (path1->disabled_nodes < path2->disabled_nodes)
133 42 : return -1;
134 : else
135 0 : return +1;
136 : }
137 :
138 3756 : if (fraction <= 0.0 || fraction >= 1.0)
139 1054 : return compare_path_costs(path1, path2, TOTAL_COST);
140 2702 : cost1 = path1->startup_cost +
141 2702 : fraction * (path1->total_cost - path1->startup_cost);
142 2702 : cost2 = path2->startup_cost +
143 2702 : fraction * (path2->total_cost - path2->startup_cost);
144 2702 : if (cost1 < cost2)
145 2280 : return -1;
146 422 : if (cost1 > cost2)
147 422 : return +1;
148 0 : return 0;
149 : }
150 :
151 : /*
152 : * compare_path_costs_fuzzily
153 : * Compare the costs of two paths to see if either can be said to
154 : * dominate the other.
155 : *
156 : * We use fuzzy comparisons so that add_path() can avoid keeping both of
157 : * a pair of paths that really have insignificantly different cost.
158 : *
159 : * The fuzz_factor argument must be 1.0 plus delta, where delta is the
160 : * fraction of the smaller cost that is considered to be a significant
161 : * difference. For example, fuzz_factor = 1.01 makes the fuzziness limit
162 : * be 1% of the smaller cost.
163 : *
164 : * The two paths are said to have "equal" costs if both startup and total
165 : * costs are fuzzily the same. Path1 is said to be better than path2 if
166 : * it has fuzzily better startup cost and fuzzily no worse total cost,
167 : * or if it has fuzzily better total cost and fuzzily no worse startup cost.
168 : * Path2 is better than path1 if the reverse holds. Finally, if one path
169 : * is fuzzily better than the other on startup cost and fuzzily worse on
170 : * total cost, we just say that their costs are "different", since neither
171 : * dominates the other across the whole performance spectrum.
172 : *
173 : * This function also enforces a policy rule that paths for which the relevant
174 : * one of parent->consider_startup and parent->consider_param_startup is false
175 : * cannot survive comparisons solely on the grounds of good startup cost, so
176 : * we never return COSTS_DIFFERENT when that is true for the total-cost loser.
177 : * (But if total costs are fuzzily equal, we compare startup costs anyway,
178 : * in hopes of eliminating one path or the other.)
179 : */
180 : static PathCostComparison
181 3812320 : compare_path_costs_fuzzily(Path *path1, Path *path2, double fuzz_factor)
182 : {
183 : #define CONSIDER_PATH_STARTUP_COST(p) \
184 : ((p)->param_info == NULL ? (p)->parent->consider_startup : (p)->parent->consider_param_startup)
185 :
186 : /* Number of disabled nodes, if different, trumps all else. */
187 3812320 : if (unlikely(path1->disabled_nodes != path2->disabled_nodes))
188 : {
189 172852 : if (path1->disabled_nodes < path2->disabled_nodes)
190 63013 : return COSTS_BETTER1;
191 : else
192 109839 : return COSTS_BETTER2;
193 : }
194 :
195 : /*
196 : * Check total cost first since it's more likely to be different; many
197 : * paths have zero startup cost.
198 : */
199 3639468 : if (path1->total_cost > path2->total_cost * fuzz_factor)
200 : {
201 : /* path1 fuzzily worse on total cost */
202 1888828 : if (CONSIDER_PATH_STARTUP_COST(path1) &&
203 76777 : path2->startup_cost > path1->startup_cost * fuzz_factor)
204 : {
205 : /* ... but path2 fuzzily worse on startup, so DIFFERENT */
206 47962 : return COSTS_DIFFERENT;
207 : }
208 : /* else path2 dominates */
209 1840866 : return COSTS_BETTER2;
210 : }
211 1750640 : if (path2->total_cost > path1->total_cost * fuzz_factor)
212 : {
213 : /* path2 fuzzily worse on total cost */
214 891373 : if (CONSIDER_PATH_STARTUP_COST(path2) &&
215 32642 : path1->startup_cost > path2->startup_cost * fuzz_factor)
216 : {
217 : /* ... but path1 fuzzily worse on startup, so DIFFERENT */
218 20976 : return COSTS_DIFFERENT;
219 : }
220 : /* else path1 dominates */
221 870397 : return COSTS_BETTER1;
222 : }
223 : /* fuzzily the same on total cost ... */
224 859267 : if (path1->startup_cost > path2->startup_cost * fuzz_factor)
225 : {
226 : /* ... but path1 fuzzily worse on startup, so path2 wins */
227 274339 : return COSTS_BETTER2;
228 : }
229 584928 : if (path2->startup_cost > path1->startup_cost * fuzz_factor)
230 : {
231 : /* ... but path2 fuzzily worse on startup, so path1 wins */
232 45974 : return COSTS_BETTER1;
233 : }
234 : /* fuzzily the same on both costs */
235 538954 : return COSTS_EQUAL;
236 :
237 : #undef CONSIDER_PATH_STARTUP_COST
238 : }
239 :
240 : /*
241 : * set_cheapest
242 : * Find the minimum-cost paths from among a relation's paths,
243 : * and save them in the rel's cheapest-path fields.
244 : *
245 : * cheapest_total_path is normally the cheapest-total-cost unparameterized
246 : * path; but if there are no unparameterized paths, we assign it to be the
247 : * best (cheapest least-parameterized) parameterized path. However, only
248 : * unparameterized paths are considered candidates for cheapest_startup_path,
249 : * so that will be NULL if there are no unparameterized paths.
250 : *
251 : * The cheapest_parameterized_paths list collects all parameterized paths
252 : * that have survived the add_path() tournament for this relation. (Since
253 : * add_path ignores pathkeys for a parameterized path, these will be paths
254 : * that have best cost or best row count for their parameterization. We
255 : * may also have both a parallel-safe and a non-parallel-safe path in some
256 : * cases for the same parameterization in some cases, but this should be
257 : * relatively rare since, most typically, all paths for the same relation
258 : * will be parallel-safe or none of them will.)
259 : *
260 : * cheapest_parameterized_paths always includes the cheapest-total
261 : * unparameterized path, too, if there is one; the users of that list find
262 : * it more convenient if that's included.
263 : *
264 : * This is normally called only after we've finished constructing the path
265 : * list for the rel node.
266 : */
267 : void
268 1625344 : set_cheapest(RelOptInfo *parent_rel)
269 : {
270 : Path *cheapest_startup_path;
271 : Path *cheapest_total_path;
272 : Path *best_param_path;
273 : List *parameterized_paths;
274 : ListCell *p;
275 :
276 : Assert(IsA(parent_rel, RelOptInfo));
277 :
278 1625344 : if (parent_rel->pathlist == NIL)
279 0 : elog(ERROR, "could not devise a query plan for the given query");
280 :
281 1625344 : cheapest_startup_path = cheapest_total_path = best_param_path = NULL;
282 1625344 : parameterized_paths = NIL;
283 :
284 3725181 : foreach(p, parent_rel->pathlist)
285 : {
286 2099837 : Path *path = (Path *) lfirst(p);
287 : int cmp;
288 :
289 2099837 : if (path->param_info)
290 : {
291 : /* Parameterized path, so add it to parameterized_paths */
292 113296 : parameterized_paths = lappend(parameterized_paths, path);
293 :
294 : /*
295 : * If we have an unparameterized cheapest-total, we no longer care
296 : * about finding the best parameterized path, so move on.
297 : */
298 113296 : if (cheapest_total_path)
299 25878 : continue;
300 :
301 : /*
302 : * Otherwise, track the best parameterized path, which is the one
303 : * with least total cost among those of the minimum
304 : * parameterization.
305 : */
306 87418 : if (best_param_path == NULL)
307 78991 : best_param_path = path;
308 : else
309 : {
310 8427 : switch (bms_subset_compare(PATH_REQ_OUTER(path),
311 8427 : PATH_REQ_OUTER(best_param_path)))
312 : {
313 45 : case BMS_EQUAL:
314 : /* keep the cheaper one */
315 45 : if (compare_path_costs(path, best_param_path,
316 : TOTAL_COST) < 0)
317 0 : best_param_path = path;
318 45 : break;
319 956 : case BMS_SUBSET1:
320 : /* new path is less-parameterized */
321 956 : best_param_path = path;
322 956 : break;
323 20 : case BMS_SUBSET2:
324 : /* old path is less-parameterized, keep it */
325 20 : break;
326 7406 : case BMS_DIFFERENT:
327 :
328 : /*
329 : * This means that neither path has the least possible
330 : * parameterization for the rel. We'll sit on the old
331 : * path until something better comes along.
332 : */
333 7406 : break;
334 : }
335 : }
336 : }
337 : else
338 : {
339 : /* Unparameterized path, so consider it for cheapest slots */
340 1986541 : if (cheapest_total_path == NULL)
341 : {
342 1616502 : cheapest_startup_path = cheapest_total_path = path;
343 1616502 : continue;
344 : }
345 :
346 : /*
347 : * If we find two paths of identical costs, try to keep the
348 : * better-sorted one. The paths might have unrelated sort
349 : * orderings, in which case we can only guess which might be
350 : * better to keep, but if one is superior then we definitely
351 : * should keep that one.
352 : */
353 370039 : cmp = compare_path_costs(cheapest_startup_path, path, STARTUP_COST);
354 370039 : if (cmp > 0 ||
355 1443 : (cmp == 0 &&
356 1443 : compare_pathkeys(cheapest_startup_path->pathkeys,
357 : path->pathkeys) == PATHKEYS_BETTER2))
358 62408 : cheapest_startup_path = path;
359 :
360 370039 : cmp = compare_path_costs(cheapest_total_path, path, TOTAL_COST);
361 370039 : if (cmp > 0 ||
362 974 : (cmp == 0 &&
363 974 : compare_pathkeys(cheapest_total_path->pathkeys,
364 : path->pathkeys) == PATHKEYS_BETTER2))
365 0 : cheapest_total_path = path;
366 : }
367 : }
368 :
369 : /* Add cheapest unparameterized path, if any, to parameterized_paths */
370 1625344 : if (cheapest_total_path)
371 1616502 : parameterized_paths = lcons(cheapest_total_path, parameterized_paths);
372 :
373 : /*
374 : * If there is no unparameterized path, use the best parameterized path as
375 : * cheapest_total_path (but not as cheapest_startup_path).
376 : */
377 1625344 : if (cheapest_total_path == NULL)
378 8842 : cheapest_total_path = best_param_path;
379 : Assert(cheapest_total_path != NULL);
380 :
381 1625344 : parent_rel->cheapest_startup_path = cheapest_startup_path;
382 1625344 : parent_rel->cheapest_total_path = cheapest_total_path;
383 1625344 : parent_rel->cheapest_parameterized_paths = parameterized_paths;
384 1625344 : }
385 :
386 : /*
387 : * add_path
388 : * Consider a potential implementation path for the specified parent rel,
389 : * and add it to the rel's pathlist if it is worthy of consideration.
390 : *
391 : * A path is worthy if it has a better sort order (better pathkeys) or
392 : * cheaper cost (as defined below), or generates fewer rows, than any
393 : * existing path that has the same or superset parameterization rels. We
394 : * also consider parallel-safe paths more worthy than others.
395 : *
396 : * Cheaper cost can mean either a cheaper total cost or a cheaper startup
397 : * cost; if one path is cheaper in one of these aspects and another is
398 : * cheaper in the other, we keep both. However, when some path type is
399 : * disabled (e.g. due to enable_seqscan=false), the number of times that
400 : * a disabled path type is used is considered to be a higher-order
401 : * component of the cost. Hence, if path A uses no disabled path type,
402 : * and path B uses 1 or more disabled path types, A is cheaper, no matter
403 : * what we estimate for the startup and total costs. The startup and total
404 : * cost essentially act as a tiebreak when comparing paths that use equal
405 : * numbers of disabled path nodes; but in practice this tiebreak is almost
406 : * always used, since normally no path types are disabled.
407 : *
408 : * In addition to possibly adding new_path, we also remove from the rel's
409 : * pathlist any old paths that are dominated by new_path --- that is,
410 : * new_path is cheaper, at least as well ordered, generates no more rows,
411 : * requires no outer rels not required by the old path, and is no less
412 : * parallel-safe.
413 : *
414 : * In most cases, a path with a superset parameterization will generate
415 : * fewer rows (since it has more join clauses to apply), so that those two
416 : * figures of merit move in opposite directions; this means that a path of
417 : * one parameterization can seldom dominate a path of another. But such
418 : * cases do arise, so we make the full set of checks anyway.
419 : *
420 : * There are two policy decisions embedded in this function, along with
421 : * its sibling add_path_precheck. First, we treat all parameterized paths
422 : * as having NIL pathkeys, so that they cannot win comparisons on the
423 : * basis of sort order. This is to reduce the number of parameterized
424 : * paths that are kept; see discussion in src/backend/optimizer/README.
425 : *
426 : * Second, we only consider cheap startup cost to be interesting if
427 : * parent_rel->consider_startup is true for an unparameterized path, or
428 : * parent_rel->consider_param_startup is true for a parameterized one.
429 : * Again, this allows discarding useless paths sooner.
430 : *
431 : * The pathlist is kept sorted by disabled_nodes and then by total_cost,
432 : * with cheaper paths at the front. Within this routine, that's simply a
433 : * speed hack: doing it that way makes it more likely that we will reject
434 : * an inferior path after a few comparisons, rather than many comparisons.
435 : * However, add_path_precheck relies on this ordering to exit early
436 : * when possible.
437 : *
438 : * NOTE: discarded Path objects are immediately pfree'd to reduce planner
439 : * memory consumption. We dare not try to free the substructure of a Path,
440 : * since much of it may be shared with other Paths or the query tree itself;
441 : * but just recycling discarded Path nodes is a very useful savings in
442 : * a large join tree. We can recycle the List nodes of pathlist, too.
443 : *
444 : * As noted in optimizer/README, deleting a previously-accepted Path is
445 : * safe because we know that Paths of this rel cannot yet be referenced
446 : * from any other rel, such as a higher-level join. However, in some cases
447 : * it is possible that a Path is referenced by another Path for its own
448 : * rel; we must not delete such a Path, even if it is dominated by the new
449 : * Path. Currently this occurs only for IndexPath objects, which may be
450 : * referenced as children of BitmapHeapPaths as well as being paths in
451 : * their own right. Hence, we don't pfree IndexPaths when rejecting them.
452 : *
453 : * 'parent_rel' is the relation entry to which the path corresponds.
454 : * 'new_path' is a potential path for parent_rel.
455 : *
456 : * Returns nothing, but modifies parent_rel->pathlist.
457 : */
458 : void
459 3622772 : add_path(RelOptInfo *parent_rel, Path *new_path)
460 : {
461 3622772 : bool accept_new = true; /* unless we find a superior old path */
462 3622772 : int insert_at = 0; /* where to insert new item */
463 : List *new_path_pathkeys;
464 : ListCell *p1;
465 :
466 : /*
467 : * This is a convenient place to check for query cancel --- no part of the
468 : * planner goes very long without calling add_path().
469 : */
470 3622772 : CHECK_FOR_INTERRUPTS();
471 :
472 : /* Pretend parameterized paths have no pathkeys, per comment above */
473 3622772 : new_path_pathkeys = new_path->param_info ? NIL : new_path->pathkeys;
474 :
475 : /*
476 : * Loop to check proposed new path against old paths. Note it is possible
477 : * for more than one old path to be tossed out because new_path dominates
478 : * it.
479 : */
480 5568056 : foreach(p1, parent_rel->pathlist)
481 : {
482 3304025 : Path *old_path = (Path *) lfirst(p1);
483 3304025 : bool remove_old = false; /* unless new proves superior */
484 : PathCostComparison costcmp;
485 : PathKeysComparison keyscmp;
486 : BMS_Comparison outercmp;
487 :
488 : /*
489 : * Do a fuzzy cost comparison with standard fuzziness limit.
490 : */
491 3304025 : costcmp = compare_path_costs_fuzzily(new_path, old_path,
492 : STD_FUZZ_FACTOR);
493 :
494 : /*
495 : * If the two paths compare differently for startup and total cost,
496 : * then we want to keep both, and we can skip comparing pathkeys and
497 : * required_outer rels. If they compare the same, proceed with the
498 : * other comparisons. Row count is checked last. (We make the tests
499 : * in this order because the cost comparison is most likely to turn
500 : * out "different", and the pathkeys comparison next most likely. As
501 : * explained above, row count very seldom makes a difference, so even
502 : * though it's cheap to compare there's not much point in checking it
503 : * earlier.)
504 : */
505 3304025 : if (costcmp != COSTS_DIFFERENT)
506 : {
507 : /* Similarly check to see if either dominates on pathkeys */
508 : List *old_path_pathkeys;
509 :
510 3235542 : old_path_pathkeys = old_path->param_info ? NIL : old_path->pathkeys;
511 3235542 : keyscmp = compare_pathkeys(new_path_pathkeys,
512 : old_path_pathkeys);
513 3235542 : if (keyscmp != PATHKEYS_DIFFERENT)
514 : {
515 3082867 : switch (costcmp)
516 : {
517 316730 : case COSTS_EQUAL:
518 316730 : outercmp = bms_subset_compare(PATH_REQ_OUTER(new_path),
519 316730 : PATH_REQ_OUTER(old_path));
520 316730 : if (keyscmp == PATHKEYS_BETTER1)
521 : {
522 5783 : if ((outercmp == BMS_EQUAL ||
523 5783 : outercmp == BMS_SUBSET1) &&
524 5783 : new_path->rows <= old_path->rows &&
525 5720 : new_path->parallel_safe >= old_path->parallel_safe)
526 5720 : remove_old = true; /* new dominates old */
527 : }
528 310947 : else if (keyscmp == PATHKEYS_BETTER2)
529 : {
530 18054 : if ((outercmp == BMS_EQUAL ||
531 18054 : outercmp == BMS_SUBSET2) &&
532 18054 : new_path->rows >= old_path->rows &&
533 14743 : new_path->parallel_safe <= old_path->parallel_safe)
534 14743 : accept_new = false; /* old dominates new */
535 : }
536 : else /* keyscmp == PATHKEYS_EQUAL */
537 : {
538 292893 : if (outercmp == BMS_EQUAL)
539 : {
540 : /*
541 : * Same pathkeys and outer rels, and fuzzily
542 : * the same cost, so keep just one; to decide
543 : * which, first check parallel-safety, then
544 : * rows, then do a fuzzy cost comparison with
545 : * very small fuzz limit. (We used to do an
546 : * exact cost comparison, but that results in
547 : * annoying platform-specific plan variations
548 : * due to roundoff in the cost estimates.) If
549 : * things are still tied, arbitrarily keep
550 : * only the old path. Notice that we will
551 : * keep only the old path even if the
552 : * less-fuzzy comparison decides the startup
553 : * and total costs compare differently.
554 : */
555 288799 : if (new_path->parallel_safe >
556 288799 : old_path->parallel_safe)
557 28 : remove_old = true; /* new dominates old */
558 288771 : else if (new_path->parallel_safe <
559 288771 : old_path->parallel_safe)
560 36 : accept_new = false; /* old dominates new */
561 288735 : else if (new_path->rows < old_path->rows)
562 39 : remove_old = true; /* new dominates old */
563 288696 : else if (new_path->rows > old_path->rows)
564 128 : accept_new = false; /* old dominates new */
565 288568 : else if (compare_path_costs_fuzzily(new_path,
566 : old_path,
567 : 1.0000000001) == COSTS_BETTER1)
568 11586 : remove_old = true; /* new dominates old */
569 : else
570 276982 : accept_new = false; /* old equals or
571 : * dominates new */
572 : }
573 4094 : else if (outercmp == BMS_SUBSET1 &&
574 658 : new_path->rows <= old_path->rows &&
575 644 : new_path->parallel_safe >= old_path->parallel_safe)
576 644 : remove_old = true; /* new dominates old */
577 3450 : else if (outercmp == BMS_SUBSET2 &&
578 2698 : new_path->rows >= old_path->rows &&
579 2633 : new_path->parallel_safe <= old_path->parallel_safe)
580 2633 : accept_new = false; /* old dominates new */
581 : /* else different parameterizations, keep both */
582 : }
583 316730 : break;
584 877778 : case COSTS_BETTER1:
585 877778 : if (keyscmp != PATHKEYS_BETTER2)
586 : {
587 594978 : outercmp = bms_subset_compare(PATH_REQ_OUTER(new_path),
588 594978 : PATH_REQ_OUTER(old_path));
589 594978 : if ((outercmp == BMS_EQUAL ||
590 511902 : outercmp == BMS_SUBSET1) &&
591 511902 : new_path->rows <= old_path->rows &&
592 508125 : new_path->parallel_safe >= old_path->parallel_safe)
593 505471 : remove_old = true; /* new dominates old */
594 : }
595 877778 : break;
596 1888359 : case COSTS_BETTER2:
597 1888359 : if (keyscmp != PATHKEYS_BETTER1)
598 : {
599 1204286 : outercmp = bms_subset_compare(PATH_REQ_OUTER(new_path),
600 1204286 : PATH_REQ_OUTER(old_path));
601 1204286 : if ((outercmp == BMS_EQUAL ||
602 1134448 : outercmp == BMS_SUBSET2) &&
603 1134448 : new_path->rows >= old_path->rows &&
604 1065863 : new_path->parallel_safe <= old_path->parallel_safe)
605 1064219 : accept_new = false; /* old dominates new */
606 : }
607 1888359 : break;
608 0 : case COSTS_DIFFERENT:
609 :
610 : /*
611 : * can't get here, but keep this case to keep compiler
612 : * quiet
613 : */
614 0 : break;
615 : }
616 : }
617 : }
618 :
619 : /*
620 : * Remove current element from pathlist if dominated by new.
621 : */
622 3304025 : if (remove_old)
623 : {
624 523488 : parent_rel->pathlist = foreach_delete_current(parent_rel->pathlist,
625 : p1);
626 :
627 : /*
628 : * Delete the data pointed-to by the deleted cell, if possible
629 : */
630 523488 : if (!IsA(old_path, IndexPath))
631 502798 : pfree(old_path);
632 : }
633 : else
634 : {
635 : /*
636 : * new belongs after this old path if it has more disabled nodes
637 : * or if it has the same number of nodes but a greater total cost
638 : */
639 2780537 : if (new_path->disabled_nodes > old_path->disabled_nodes ||
640 2673478 : (new_path->disabled_nodes == old_path->disabled_nodes &&
641 2661269 : new_path->total_cost >= old_path->total_cost))
642 2320831 : insert_at = foreach_current_index(p1) + 1;
643 : }
644 :
645 : /*
646 : * If we found an old path that dominates new_path, we can quit
647 : * scanning the pathlist; we will not add new_path, and we assume
648 : * new_path cannot dominate any other elements of the pathlist.
649 : */
650 3304025 : if (!accept_new)
651 1358741 : break;
652 : }
653 :
654 3622772 : if (accept_new)
655 : {
656 : /* Accept the new path: insert it at proper place in pathlist */
657 2264031 : parent_rel->pathlist =
658 2264031 : list_insert_nth(parent_rel->pathlist, insert_at, new_path);
659 : }
660 : else
661 : {
662 : /* Reject and recycle the new path */
663 1358741 : if (!IsA(new_path, IndexPath))
664 1268730 : pfree(new_path);
665 : }
666 3622772 : }
667 :
668 : /*
669 : * add_path_precheck
670 : * Check whether a proposed new path could possibly get accepted.
671 : * We assume we know the path's pathkeys and parameterization accurately,
672 : * and have lower bounds for its costs.
673 : *
674 : * Note that we do not know the path's rowcount, since getting an estimate for
675 : * that is too expensive to do before prechecking. We assume here that paths
676 : * of a superset parameterization will generate fewer rows; if that holds,
677 : * then paths with different parameterizations cannot dominate each other
678 : * and so we can simply ignore existing paths of another parameterization.
679 : * (In the infrequent cases where that rule of thumb fails, add_path will
680 : * get rid of the inferior path.)
681 : *
682 : * At the time this is called, we haven't actually built a Path structure,
683 : * so the required information has to be passed piecemeal.
684 : */
685 : bool
686 4100347 : add_path_precheck(RelOptInfo *parent_rel, int disabled_nodes,
687 : Cost startup_cost, Cost total_cost,
688 : List *pathkeys, Relids required_outer)
689 : {
690 : List *new_path_pathkeys;
691 : bool consider_startup;
692 : ListCell *p1;
693 :
694 : /* Pretend parameterized paths have no pathkeys, per add_path policy */
695 4100347 : new_path_pathkeys = required_outer ? NIL : pathkeys;
696 :
697 : /* Decide whether new path's startup cost is interesting */
698 4100347 : consider_startup = required_outer ? parent_rel->consider_param_startup : parent_rel->consider_startup;
699 :
700 5176230 : foreach(p1, parent_rel->pathlist)
701 : {
702 4885371 : Path *old_path = (Path *) lfirst(p1);
703 : PathKeysComparison keyscmp;
704 :
705 : /*
706 : * Since the pathlist is sorted by disabled_nodes and then by
707 : * total_cost, we can stop looking once we reach a path with more
708 : * disabled nodes, or the same number of disabled nodes plus a
709 : * total_cost larger than the new path's.
710 : */
711 4885371 : if (unlikely(old_path->disabled_nodes != disabled_nodes))
712 : {
713 110599 : if (disabled_nodes < old_path->disabled_nodes)
714 14009 : break;
715 : }
716 4774772 : else if (total_cost <= old_path->total_cost * STD_FUZZ_FACTOR)
717 1449435 : break;
718 :
719 : /*
720 : * We are looking for an old_path with the same parameterization (and
721 : * by assumption the same rowcount) that dominates the new path on
722 : * pathkeys as well as both cost metrics. If we find one, we can
723 : * reject the new path.
724 : *
725 : * Cost comparisons here should match compare_path_costs_fuzzily.
726 : */
727 : /* new path can win on startup cost only if consider_startup */
728 3421927 : if (startup_cost > old_path->startup_cost * STD_FUZZ_FACTOR ||
729 1595757 : !consider_startup)
730 : {
731 : /* new path loses on cost, so check pathkeys... */
732 : List *old_path_pathkeys;
733 :
734 3369942 : old_path_pathkeys = old_path->param_info ? NIL : old_path->pathkeys;
735 3369942 : keyscmp = compare_pathkeys(new_path_pathkeys,
736 : old_path_pathkeys);
737 3369942 : if (keyscmp == PATHKEYS_EQUAL ||
738 : keyscmp == PATHKEYS_BETTER2)
739 : {
740 : /* new path does not win on pathkeys... */
741 2397707 : if (bms_equal(required_outer, PATH_REQ_OUTER(old_path)))
742 : {
743 : /* Found an old path that dominates the new one */
744 2346044 : return false;
745 : }
746 : }
747 : }
748 : }
749 :
750 1754303 : return true;
751 : }
752 :
753 : /*
754 : * add_partial_path
755 : * Like add_path, our goal here is to consider whether a path is worthy
756 : * of being kept around, but the considerations here are a bit different.
757 : * A partial path is one which can be executed in any number of workers in
758 : * parallel such that each worker will generate a subset of the path's
759 : * overall result.
760 : *
761 : * As in add_path, the partial_pathlist is kept sorted first by smallest
762 : * number of disabled nodes and then by lowest total cost. This is depended
763 : * on by multiple places, which just take the front entry as the cheapest
764 : * path without searching.
765 : *
766 : * We don't generate parameterized partial paths for several reasons. Most
767 : * importantly, they're not safe to execute, because there's nothing to
768 : * make sure that a parallel scan within the parameterized portion of the
769 : * plan is running with the same value in every worker at the same time.
770 : * Fortunately, it seems unlikely to be worthwhile anyway, because having
771 : * each worker scan the entire outer relation and a subset of the inner
772 : * relation will generally be a terrible plan. The inner (parameterized)
773 : * side of the plan will be small anyway. There could be rare cases where
774 : * this wins big - e.g. if join order constraints put a 1-row relation on
775 : * the outer side of the topmost join with a parameterized plan on the inner
776 : * side - but we'll have to be content not to handle such cases until
777 : * somebody builds an executor infrastructure that can cope with them.
778 : *
779 : * Because we don't consider parameterized paths here, we also don't
780 : * need to consider the row counts as a measure of quality: every path will
781 : * produce the same number of rows. However, we do need to consider the
782 : * startup costs: this partial path could be used beneath a Limit node,
783 : * so a fast-start plan could be correct.
784 : *
785 : * As with add_path, we pfree paths that are found to be dominated by
786 : * another partial path; this requires that there be no other references to
787 : * such paths yet. Hence, GatherPaths must not be created for a rel until
788 : * we're done creating all partial paths for it. Unlike add_path, we don't
789 : * take an exception for IndexPaths as partial index paths won't be
790 : * referenced by partial BitmapHeapPaths.
791 : */
792 : void
793 242636 : add_partial_path(RelOptInfo *parent_rel, Path *new_path)
794 : {
795 242636 : bool accept_new = true; /* unless we find a superior old path */
796 242636 : int insert_at = 0; /* where to insert new item */
797 : ListCell *p1;
798 :
799 : /* Check for query cancel. */
800 242636 : CHECK_FOR_INTERRUPTS();
801 :
802 : /* Path to be added must be parallel safe. */
803 : Assert(new_path->parallel_safe);
804 :
805 : /* Relation should be OK for parallelism, too. */
806 : Assert(parent_rel->consider_parallel);
807 :
808 : /*
809 : * As in add_path, throw out any paths which are dominated by the new
810 : * path, but throw out the new path if some existing path dominates it.
811 : */
812 339300 : foreach(p1, parent_rel->partial_pathlist)
813 : {
814 193083 : Path *old_path = (Path *) lfirst(p1);
815 193083 : bool remove_old = false; /* unless new proves superior */
816 : PathKeysComparison keyscmp;
817 :
818 : /* Compare pathkeys. */
819 193083 : keyscmp = compare_pathkeys(new_path->pathkeys, old_path->pathkeys);
820 :
821 : /*
822 : * Unless pathkeys are incompatible, see if one of the paths dominates
823 : * the other (both in startup and total cost). It may happen that one
824 : * path has lower startup cost, the other has lower total cost.
825 : */
826 193083 : if (keyscmp != PATHKEYS_DIFFERENT)
827 : {
828 : PathCostComparison costcmp;
829 :
830 : /*
831 : * Do a fuzzy cost comparison with standard fuzziness limit.
832 : */
833 192916 : costcmp = compare_path_costs_fuzzily(new_path, old_path,
834 : STD_FUZZ_FACTOR);
835 192916 : if (costcmp == COSTS_BETTER1)
836 : {
837 68936 : if (keyscmp != PATHKEYS_BETTER2)
838 27600 : remove_old = true;
839 : }
840 123980 : else if (costcmp == COSTS_BETTER2)
841 : {
842 95604 : if (keyscmp != PATHKEYS_BETTER1)
843 68700 : accept_new = false;
844 : }
845 28376 : else if (costcmp == COSTS_EQUAL)
846 : {
847 27955 : if (keyscmp == PATHKEYS_BETTER1)
848 32 : remove_old = true;
849 27923 : else if (keyscmp == PATHKEYS_BETTER2)
850 1112 : accept_new = false;
851 26811 : else if (compare_path_costs_fuzzily(new_path, old_path,
852 : 1.0000000001) == COSTS_BETTER1)
853 204 : remove_old = true;
854 : else
855 26607 : accept_new = false;
856 : }
857 : }
858 :
859 : /*
860 : * Remove current element from partial_pathlist if dominated by new.
861 : */
862 193083 : if (remove_old)
863 : {
864 27836 : parent_rel->partial_pathlist =
865 27836 : foreach_delete_current(parent_rel->partial_pathlist, p1);
866 27836 : pfree(old_path);
867 : }
868 : else
869 : {
870 : /*
871 : * new belongs after this old path if it has more disabled nodes
872 : * or if it has the same number of nodes but a greater total cost
873 : */
874 165247 : if (new_path->disabled_nodes > old_path->disabled_nodes ||
875 162466 : (new_path->disabled_nodes == old_path->disabled_nodes &&
876 161501 : new_path->total_cost >= old_path->total_cost))
877 123373 : insert_at = foreach_current_index(p1) + 1;
878 : }
879 :
880 : /*
881 : * If we found an old path that dominates new_path, we can quit
882 : * scanning the partial_pathlist; we will not add new_path, and we
883 : * assume new_path cannot dominate any later path.
884 : */
885 193083 : if (!accept_new)
886 96419 : break;
887 : }
888 :
889 242636 : if (accept_new)
890 : {
891 : /* Accept the new path: insert it at proper place */
892 146217 : parent_rel->partial_pathlist =
893 146217 : list_insert_nth(parent_rel->partial_pathlist, insert_at, new_path);
894 : }
895 : else
896 : {
897 : /* Reject and recycle the new path */
898 96419 : pfree(new_path);
899 : }
900 242636 : }
901 :
902 : /*
903 : * add_partial_path_precheck
904 : * Check whether a proposed new partial path could possibly get accepted.
905 : *
906 : * Unlike add_path_precheck, we can ignore parameterization, since it doesn't
907 : * matter for partial paths (see add_partial_path). But we do want to make
908 : * sure we don't add a partial path if there's already a complete path that
909 : * dominates it, since in that case the proposed path is surely a loser.
910 : */
911 : bool
912 342230 : add_partial_path_precheck(RelOptInfo *parent_rel, int disabled_nodes,
913 : Cost startup_cost, Cost total_cost, List *pathkeys)
914 : {
915 342230 : bool consider_startup = parent_rel->consider_startup;
916 : ListCell *p1;
917 :
918 : /*
919 : * Our goal here is twofold. First, we want to find out whether this path
920 : * is clearly inferior to some existing partial path. If so, we want to
921 : * reject it immediately. Second, we want to find out whether this path
922 : * is clearly superior to some existing partial path -- at least, modulo
923 : * final cost computations. If so, we definitely want to consider it.
924 : *
925 : * Unlike add_path(), we never try to exit this loop early. This is
926 : * because we expect partial_pathlist to be very short, and getting a
927 : * definitive answer at this stage avoids the need to call
928 : * add_path_precheck.
929 : */
930 427921 : foreach(p1, parent_rel->partial_pathlist)
931 : {
932 349041 : Path *old_path = (Path *) lfirst(p1);
933 : PathCostComparison costcmp;
934 : PathKeysComparison keyscmp;
935 :
936 : /*
937 : * First, compare costs and disabled nodes. This logic should be
938 : * identical to compare_path_costs_fuzzily, except that one of the
939 : * paths hasn't been created yet, and the fuzz factor is always
940 : * STD_FUZZ_FACTOR.
941 : */
942 349041 : if (unlikely(old_path->disabled_nodes != disabled_nodes))
943 : {
944 9437 : if (disabled_nodes < old_path->disabled_nodes)
945 3906 : costcmp = COSTS_BETTER1;
946 : else
947 5531 : costcmp = COSTS_BETTER2;
948 : }
949 339604 : else if (total_cost > old_path->total_cost * STD_FUZZ_FACTOR)
950 : {
951 206279 : if (consider_startup &&
952 338 : old_path->startup_cost > startup_cost * STD_FUZZ_FACTOR)
953 248 : costcmp = COSTS_DIFFERENT;
954 : else
955 206031 : costcmp = COSTS_BETTER2;
956 : }
957 133325 : else if (old_path->total_cost > total_cost * STD_FUZZ_FACTOR)
958 : {
959 129635 : if (consider_startup &&
960 528 : startup_cost > old_path->startup_cost * STD_FUZZ_FACTOR)
961 392 : costcmp = COSTS_DIFFERENT;
962 : else
963 129243 : costcmp = COSTS_BETTER1;
964 : }
965 3690 : else if (startup_cost > old_path->startup_cost * STD_FUZZ_FACTOR)
966 2383 : costcmp = COSTS_BETTER2;
967 1307 : else if (old_path->startup_cost > startup_cost * STD_FUZZ_FACTOR)
968 491 : costcmp = COSTS_BETTER1;
969 : else
970 816 : costcmp = COSTS_EQUAL;
971 :
972 : /*
973 : * If one path wins on startup cost and the other on total cost, we
974 : * can't say for sure which is better.
975 : */
976 349041 : if (costcmp == COSTS_DIFFERENT)
977 640 : continue;
978 :
979 : /*
980 : * If the two paths have different pathkeys, we can't say for sure
981 : * which is better.
982 : */
983 348401 : keyscmp = compare_pathkeys(pathkeys, old_path->pathkeys);
984 348401 : if (keyscmp == PATHKEYS_DIFFERENT)
985 152 : continue;
986 :
987 : /*
988 : * If the existing path is cheaper and the pathkeys are equal or
989 : * worse, the new path is not interesting.
990 : */
991 348249 : if (costcmp == COSTS_BETTER2 && keyscmp != PATHKEYS_BETTER1)
992 263350 : return false;
993 :
994 : /*
995 : * If the new path is cheaper and the pathkeys are equal or better, it
996 : * is definitely interesting.
997 : */
998 175101 : if (costcmp == COSTS_BETTER1 && keyscmp != PATHKEYS_BETTER2)
999 90202 : return true;
1000 : }
1001 :
1002 : /*
1003 : * This path is neither clearly inferior to an existing partial path nor
1004 : * clearly good enough that it might replace one. Compare it to
1005 : * non-parallel plans. If it loses even before accounting for the cost of
1006 : * the Gather node, we should definitely reject it.
1007 : */
1008 78880 : if (!add_path_precheck(parent_rel, disabled_nodes, startup_cost,
1009 : total_cost, pathkeys, NULL))
1010 1725 : return false;
1011 :
1012 77155 : return true;
1013 : }
1014 :
1015 :
1016 : /*****************************************************************************
1017 : * PATH NODE CREATION ROUTINES
1018 : *****************************************************************************/
1019 :
1020 : /*
1021 : * create_seqscan_path
1022 : * Creates a path corresponding to a sequential scan, returning the
1023 : * pathnode.
1024 : */
1025 : Path *
1026 346786 : create_seqscan_path(PlannerInfo *root, RelOptInfo *rel,
1027 : Relids required_outer, int parallel_workers)
1028 : {
1029 346786 : Path *pathnode = makeNode(Path);
1030 :
1031 346786 : pathnode->pathtype = T_SeqScan;
1032 346786 : pathnode->parent = rel;
1033 346786 : pathnode->pathtarget = rel->reltarget;
1034 346786 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
1035 : required_outer);
1036 346786 : pathnode->parallel_aware = (parallel_workers > 0);
1037 346786 : pathnode->parallel_safe = rel->consider_parallel;
1038 346786 : pathnode->parallel_workers = parallel_workers;
1039 346786 : pathnode->pathkeys = NIL; /* seqscan has unordered result */
1040 :
1041 346786 : cost_seqscan(pathnode, root, rel, pathnode->param_info);
1042 :
1043 346786 : return pathnode;
1044 : }
1045 :
1046 : /*
1047 : * create_samplescan_path
1048 : * Creates a path node for a sampled table scan.
1049 : */
1050 : Path *
1051 243 : create_samplescan_path(PlannerInfo *root, RelOptInfo *rel, Relids required_outer)
1052 : {
1053 243 : Path *pathnode = makeNode(Path);
1054 :
1055 243 : pathnode->pathtype = T_SampleScan;
1056 243 : pathnode->parent = rel;
1057 243 : pathnode->pathtarget = rel->reltarget;
1058 243 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
1059 : required_outer);
1060 243 : pathnode->parallel_aware = false;
1061 243 : pathnode->parallel_safe = rel->consider_parallel;
1062 243 : pathnode->parallel_workers = 0;
1063 243 : pathnode->pathkeys = NIL; /* samplescan has unordered result */
1064 :
1065 243 : cost_samplescan(pathnode, root, rel, pathnode->param_info);
1066 :
1067 243 : return pathnode;
1068 : }
1069 :
1070 : /*
1071 : * create_index_path
1072 : * Creates a path node for an index scan.
1073 : *
1074 : * 'index' is a usable index.
1075 : * 'indexclauses' is a list of IndexClause nodes representing clauses
1076 : * to be enforced as qual conditions in the scan.
1077 : * 'indexorderbys' is a list of bare expressions (no RestrictInfos)
1078 : * to be used as index ordering operators in the scan.
1079 : * 'indexorderbycols' is an integer list of index column numbers (zero based)
1080 : * the ordering operators can be used with.
1081 : * 'pathkeys' describes the ordering of the path.
1082 : * 'indexscandir' is either ForwardScanDirection or BackwardScanDirection.
1083 : * 'indexonly' is true if an index-only scan is wanted.
1084 : * 'required_outer' is the set of outer relids for a parameterized path.
1085 : * 'loop_count' is the number of repetitions of the indexscan to factor into
1086 : * estimates of caching behavior.
1087 : * 'partial_path' is true if constructing a parallel index scan path.
1088 : *
1089 : * Returns the new path node.
1090 : */
1091 : IndexPath *
1092 666181 : create_index_path(PlannerInfo *root,
1093 : IndexOptInfo *index,
1094 : List *indexclauses,
1095 : List *indexorderbys,
1096 : List *indexorderbycols,
1097 : List *pathkeys,
1098 : ScanDirection indexscandir,
1099 : bool indexonly,
1100 : Relids required_outer,
1101 : double loop_count,
1102 : bool partial_path)
1103 : {
1104 666181 : IndexPath *pathnode = makeNode(IndexPath);
1105 666181 : RelOptInfo *rel = index->rel;
1106 :
1107 666181 : pathnode->path.pathtype = indexonly ? T_IndexOnlyScan : T_IndexScan;
1108 666181 : pathnode->path.parent = rel;
1109 666181 : pathnode->path.pathtarget = rel->reltarget;
1110 666181 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1111 : required_outer);
1112 666181 : pathnode->path.parallel_aware = false;
1113 666181 : pathnode->path.parallel_safe = rel->consider_parallel;
1114 666181 : pathnode->path.parallel_workers = 0;
1115 666181 : pathnode->path.pathkeys = pathkeys;
1116 :
1117 666181 : pathnode->indexinfo = index;
1118 666181 : pathnode->indexclauses = indexclauses;
1119 666181 : pathnode->indexorderbys = indexorderbys;
1120 666181 : pathnode->indexorderbycols = indexorderbycols;
1121 666181 : pathnode->indexscandir = indexscandir;
1122 :
1123 666181 : cost_index(pathnode, root, loop_count, partial_path);
1124 :
1125 : /*
1126 : * cost_index will set disabled_nodes to 1 if this rel is not allowed to
1127 : * use index scans in general, but it doesn't have the IndexOptInfo to
1128 : * know whether this specific index has been disabled.
1129 : */
1130 666181 : if (index->disabled)
1131 8282 : pathnode->path.disabled_nodes = 1;
1132 :
1133 666181 : return pathnode;
1134 : }
1135 :
1136 : /*
1137 : * create_bitmap_heap_path
1138 : * Creates a path node for a bitmap scan.
1139 : *
1140 : * 'bitmapqual' is a tree of IndexPath, BitmapAndPath, and BitmapOrPath nodes.
1141 : * 'required_outer' is the set of outer relids for a parameterized path.
1142 : * 'loop_count' is the number of repetitions of the indexscan to factor into
1143 : * estimates of caching behavior.
1144 : *
1145 : * loop_count should match the value used when creating the component
1146 : * IndexPaths.
1147 : */
1148 : BitmapHeapPath *
1149 280838 : create_bitmap_heap_path(PlannerInfo *root,
1150 : RelOptInfo *rel,
1151 : Path *bitmapqual,
1152 : Relids required_outer,
1153 : double loop_count,
1154 : int parallel_degree)
1155 : {
1156 280838 : BitmapHeapPath *pathnode = makeNode(BitmapHeapPath);
1157 :
1158 280838 : pathnode->path.pathtype = T_BitmapHeapScan;
1159 280838 : pathnode->path.parent = rel;
1160 280838 : pathnode->path.pathtarget = rel->reltarget;
1161 280838 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1162 : required_outer);
1163 280838 : pathnode->path.parallel_aware = (parallel_degree > 0);
1164 280838 : pathnode->path.parallel_safe = rel->consider_parallel;
1165 280838 : pathnode->path.parallel_workers = parallel_degree;
1166 280838 : pathnode->path.pathkeys = NIL; /* always unordered */
1167 :
1168 280838 : pathnode->bitmapqual = bitmapqual;
1169 :
1170 280838 : cost_bitmap_heap_scan(&pathnode->path, root, rel,
1171 : pathnode->path.param_info,
1172 : bitmapqual, loop_count);
1173 :
1174 280838 : return pathnode;
1175 : }
1176 :
1177 : /*
1178 : * create_bitmap_and_path
1179 : * Creates a path node representing a BitmapAnd.
1180 : */
1181 : BitmapAndPath *
1182 41641 : create_bitmap_and_path(PlannerInfo *root,
1183 : RelOptInfo *rel,
1184 : List *bitmapquals)
1185 : {
1186 41641 : BitmapAndPath *pathnode = makeNode(BitmapAndPath);
1187 41641 : Relids required_outer = NULL;
1188 : ListCell *lc;
1189 :
1190 41641 : pathnode->path.pathtype = T_BitmapAnd;
1191 41641 : pathnode->path.parent = rel;
1192 41641 : pathnode->path.pathtarget = rel->reltarget;
1193 :
1194 : /*
1195 : * Identify the required outer rels as the union of what the child paths
1196 : * depend on. (Alternatively, we could insist that the caller pass this
1197 : * in, but it's more convenient and reliable to compute it here.)
1198 : */
1199 124923 : foreach(lc, bitmapquals)
1200 : {
1201 83282 : Path *bitmapqual = (Path *) lfirst(lc);
1202 :
1203 83282 : required_outer = bms_add_members(required_outer,
1204 83282 : PATH_REQ_OUTER(bitmapqual));
1205 : }
1206 41641 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1207 : required_outer);
1208 :
1209 : /*
1210 : * Currently, a BitmapHeapPath, BitmapAndPath, or BitmapOrPath will be
1211 : * parallel-safe if and only if rel->consider_parallel is set. So, we can
1212 : * set the flag for this path based only on the relation-level flag,
1213 : * without actually iterating over the list of children.
1214 : */
1215 41641 : pathnode->path.parallel_aware = false;
1216 41641 : pathnode->path.parallel_safe = rel->consider_parallel;
1217 41641 : pathnode->path.parallel_workers = 0;
1218 :
1219 41641 : pathnode->path.pathkeys = NIL; /* always unordered */
1220 :
1221 41641 : pathnode->bitmapquals = bitmapquals;
1222 :
1223 : /* this sets bitmapselectivity as well as the regular cost fields: */
1224 41641 : cost_bitmap_and_node(pathnode, root);
1225 :
1226 41641 : return pathnode;
1227 : }
1228 :
1229 : /*
1230 : * create_bitmap_or_path
1231 : * Creates a path node representing a BitmapOr.
1232 : */
1233 : BitmapOrPath *
1234 1752 : create_bitmap_or_path(PlannerInfo *root,
1235 : RelOptInfo *rel,
1236 : List *bitmapquals)
1237 : {
1238 1752 : BitmapOrPath *pathnode = makeNode(BitmapOrPath);
1239 1752 : Relids required_outer = NULL;
1240 : ListCell *lc;
1241 :
1242 1752 : pathnode->path.pathtype = T_BitmapOr;
1243 1752 : pathnode->path.parent = rel;
1244 1752 : pathnode->path.pathtarget = rel->reltarget;
1245 :
1246 : /*
1247 : * Identify the required outer rels as the union of what the child paths
1248 : * depend on. (Alternatively, we could insist that the caller pass this
1249 : * in, but it's more convenient and reliable to compute it here.)
1250 : */
1251 4097 : foreach(lc, bitmapquals)
1252 : {
1253 2345 : Path *bitmapqual = (Path *) lfirst(lc);
1254 :
1255 2345 : required_outer = bms_add_members(required_outer,
1256 2345 : PATH_REQ_OUTER(bitmapqual));
1257 : }
1258 1752 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1259 : required_outer);
1260 :
1261 : /*
1262 : * Currently, a BitmapHeapPath, BitmapAndPath, or BitmapOrPath will be
1263 : * parallel-safe if and only if rel->consider_parallel is set. So, we can
1264 : * set the flag for this path based only on the relation-level flag,
1265 : * without actually iterating over the list of children.
1266 : */
1267 1752 : pathnode->path.parallel_aware = false;
1268 1752 : pathnode->path.parallel_safe = rel->consider_parallel;
1269 1752 : pathnode->path.parallel_workers = 0;
1270 :
1271 1752 : pathnode->path.pathkeys = NIL; /* always unordered */
1272 :
1273 1752 : pathnode->bitmapquals = bitmapquals;
1274 :
1275 : /* this sets bitmapselectivity as well as the regular cost fields: */
1276 1752 : cost_bitmap_or_node(pathnode, root);
1277 :
1278 1752 : return pathnode;
1279 : }
1280 :
1281 : /*
1282 : * create_tidscan_path
1283 : * Creates a path corresponding to a scan by TID, returning the pathnode.
1284 : */
1285 : TidPath *
1286 625 : create_tidscan_path(PlannerInfo *root, RelOptInfo *rel, List *tidquals,
1287 : Relids required_outer)
1288 : {
1289 625 : TidPath *pathnode = makeNode(TidPath);
1290 :
1291 625 : pathnode->path.pathtype = T_TidScan;
1292 625 : pathnode->path.parent = rel;
1293 625 : pathnode->path.pathtarget = rel->reltarget;
1294 625 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1295 : required_outer);
1296 625 : pathnode->path.parallel_aware = false;
1297 625 : pathnode->path.parallel_safe = rel->consider_parallel;
1298 625 : pathnode->path.parallel_workers = 0;
1299 625 : pathnode->path.pathkeys = NIL; /* always unordered */
1300 :
1301 625 : pathnode->tidquals = tidquals;
1302 :
1303 625 : cost_tidscan(&pathnode->path, root, rel, tidquals,
1304 : pathnode->path.param_info);
1305 :
1306 625 : return pathnode;
1307 : }
1308 :
1309 : /*
1310 : * create_tidrangescan_path
1311 : * Creates a path corresponding to a scan by a range of TIDs, returning
1312 : * the pathnode.
1313 : */
1314 : TidRangePath *
1315 1703 : create_tidrangescan_path(PlannerInfo *root, RelOptInfo *rel,
1316 : List *tidrangequals, Relids required_outer,
1317 : int parallel_workers)
1318 : {
1319 1703 : TidRangePath *pathnode = makeNode(TidRangePath);
1320 :
1321 1703 : pathnode->path.pathtype = T_TidRangeScan;
1322 1703 : pathnode->path.parent = rel;
1323 1703 : pathnode->path.pathtarget = rel->reltarget;
1324 1703 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1325 : required_outer);
1326 1703 : pathnode->path.parallel_aware = (parallel_workers > 0);
1327 1703 : pathnode->path.parallel_safe = rel->consider_parallel;
1328 1703 : pathnode->path.parallel_workers = parallel_workers;
1329 1703 : pathnode->path.pathkeys = NIL; /* always unordered */
1330 :
1331 1703 : pathnode->tidrangequals = tidrangequals;
1332 :
1333 1703 : cost_tidrangescan(&pathnode->path, root, rel, tidrangequals,
1334 : pathnode->path.param_info);
1335 :
1336 1703 : return pathnode;
1337 : }
1338 :
1339 : /*
1340 : * create_append_path
1341 : * Creates a path corresponding to an Append plan, returning the
1342 : * pathnode.
1343 : *
1344 : * Note that we must handle subpaths = NIL, representing a dummy access path.
1345 : * Also, there are callers that pass root = NULL.
1346 : *
1347 : * 'rows', when passed as a non-negative number, will be used to overwrite the
1348 : * returned path's row estimate. Otherwise, the row estimate is calculated
1349 : * by totalling the row estimates from the 'subpaths' list.
1350 : */
1351 : AppendPath *
1352 73808 : create_append_path(PlannerInfo *root,
1353 : RelOptInfo *rel,
1354 : AppendPathInput input,
1355 : List *pathkeys, Relids required_outer,
1356 : int parallel_workers, bool parallel_aware,
1357 : double rows)
1358 : {
1359 73808 : AppendPath *pathnode = makeNode(AppendPath);
1360 : ListCell *l;
1361 :
1362 : Assert(!parallel_aware || parallel_workers > 0);
1363 :
1364 73808 : pathnode->child_append_relid_sets = input.child_append_relid_sets;
1365 73808 : pathnode->path.pathtype = T_Append;
1366 73808 : pathnode->path.parent = rel;
1367 73808 : pathnode->path.pathtarget = rel->reltarget;
1368 :
1369 : /*
1370 : * If this is for a baserel (not a join or non-leaf partition), we prefer
1371 : * to apply get_baserel_parampathinfo to construct a full ParamPathInfo
1372 : * for the path. This supports building a Memoize path atop this path,
1373 : * and if this is a partitioned table the info may be useful for run-time
1374 : * pruning (cf make_partition_pruneinfo()).
1375 : *
1376 : * However, if we don't have "root" then that won't work and we fall back
1377 : * on the simpler get_appendrel_parampathinfo. There's no point in doing
1378 : * the more expensive thing for a dummy path, either.
1379 : */
1380 73808 : if (rel->reloptkind == RELOPT_BASEREL && root && input.subpaths != NIL)
1381 31992 : pathnode->path.param_info = get_baserel_parampathinfo(root,
1382 : rel,
1383 : required_outer);
1384 : else
1385 41816 : pathnode->path.param_info = get_appendrel_parampathinfo(rel,
1386 : required_outer);
1387 :
1388 73808 : pathnode->path.parallel_aware = parallel_aware;
1389 73808 : pathnode->path.parallel_safe = rel->consider_parallel;
1390 73808 : pathnode->path.parallel_workers = parallel_workers;
1391 73808 : pathnode->path.pathkeys = pathkeys;
1392 :
1393 : /*
1394 : * For parallel append, non-partial paths are sorted by descending total
1395 : * costs. That way, the total time to finish all non-partial paths is
1396 : * minimized. Also, the partial paths are sorted by descending startup
1397 : * costs. There may be some paths that require to do startup work by a
1398 : * single worker. In such case, it's better for workers to choose the
1399 : * expensive ones first, whereas the leader should choose the cheapest
1400 : * startup plan.
1401 : */
1402 73808 : if (pathnode->path.parallel_aware)
1403 : {
1404 : /*
1405 : * We mustn't fiddle with the order of subpaths when the Append has
1406 : * pathkeys. The order they're listed in is critical to keeping the
1407 : * pathkeys valid.
1408 : */
1409 : Assert(pathkeys == NIL);
1410 :
1411 26324 : list_sort(input.subpaths, append_total_cost_compare);
1412 26324 : list_sort(input.partial_subpaths, append_startup_cost_compare);
1413 : }
1414 73808 : pathnode->first_partial_path = list_length(input.subpaths);
1415 73808 : pathnode->subpaths = list_concat(input.subpaths, input.partial_subpaths);
1416 :
1417 : /*
1418 : * Apply query-wide LIMIT if known and path is for sole base relation.
1419 : * (Handling this at this low level is a bit klugy.)
1420 : */
1421 73808 : if (root != NULL && bms_equal(rel->relids, root->all_query_rels))
1422 35346 : pathnode->limit_tuples = root->limit_tuples;
1423 : else
1424 38462 : pathnode->limit_tuples = -1.0;
1425 :
1426 258334 : foreach(l, pathnode->subpaths)
1427 : {
1428 184526 : Path *subpath = (Path *) lfirst(l);
1429 :
1430 336128 : pathnode->path.parallel_safe = pathnode->path.parallel_safe &&
1431 336128 : subpath->parallel_safe;
1432 :
1433 : /* All child paths must have same parameterization */
1434 : Assert(bms_equal(PATH_REQ_OUTER(subpath), required_outer));
1435 : }
1436 :
1437 : Assert(!parallel_aware || pathnode->path.parallel_safe);
1438 :
1439 : /*
1440 : * If there's exactly one child path then the output of the Append is
1441 : * necessarily ordered the same as the child's, so we can inherit the
1442 : * child's pathkeys if any, overriding whatever the caller might've said.
1443 : * Furthermore, if the child's parallel awareness matches the Append's,
1444 : * then the Append is a no-op and will be discarded later (in setrefs.c).
1445 : * Then we can inherit the child's size and cost too, effectively charging
1446 : * zero for the Append. Otherwise, we must do the normal costsize
1447 : * calculation.
1448 : */
1449 73808 : if (list_length(pathnode->subpaths) == 1)
1450 : {
1451 15461 : Path *child = (Path *) linitial(pathnode->subpaths);
1452 :
1453 15461 : if (child->parallel_aware == parallel_aware)
1454 : {
1455 15096 : pathnode->path.rows = child->rows;
1456 15096 : pathnode->path.startup_cost = child->startup_cost;
1457 15096 : pathnode->path.total_cost = child->total_cost;
1458 : }
1459 : else
1460 365 : cost_append(pathnode, root);
1461 : /* Must do this last, else cost_append complains */
1462 15461 : pathnode->path.pathkeys = child->pathkeys;
1463 : }
1464 : else
1465 58347 : cost_append(pathnode, root);
1466 :
1467 : /* If the caller provided a row estimate, override the computed value. */
1468 73808 : if (rows >= 0)
1469 480 : pathnode->path.rows = rows;
1470 :
1471 73808 : return pathnode;
1472 : }
1473 :
1474 : /*
1475 : * append_total_cost_compare
1476 : * list_sort comparator for sorting append child paths
1477 : * by total_cost descending
1478 : *
1479 : * For equal total costs, we fall back to comparing startup costs; if those
1480 : * are equal too, break ties using bms_compare on the paths' relids.
1481 : * (This is to avoid getting unpredictable results from list_sort.)
1482 : */
1483 : static int
1484 17470 : append_total_cost_compare(const ListCell *a, const ListCell *b)
1485 : {
1486 17470 : Path *path1 = (Path *) lfirst(a);
1487 17470 : Path *path2 = (Path *) lfirst(b);
1488 : int cmp;
1489 :
1490 17470 : cmp = compare_path_costs(path1, path2, TOTAL_COST);
1491 17470 : if (cmp != 0)
1492 15184 : return -cmp;
1493 2286 : return bms_compare(path1->parent->relids, path2->parent->relids);
1494 : }
1495 :
1496 : /*
1497 : * append_startup_cost_compare
1498 : * list_sort comparator for sorting append child paths
1499 : * by startup_cost descending
1500 : *
1501 : * For equal startup costs, we fall back to comparing total costs; if those
1502 : * are equal too, break ties using bms_compare on the paths' relids.
1503 : * (This is to avoid getting unpredictable results from list_sort.)
1504 : */
1505 : static int
1506 39425 : append_startup_cost_compare(const ListCell *a, const ListCell *b)
1507 : {
1508 39425 : Path *path1 = (Path *) lfirst(a);
1509 39425 : Path *path2 = (Path *) lfirst(b);
1510 : int cmp;
1511 :
1512 39425 : cmp = compare_path_costs(path1, path2, STARTUP_COST);
1513 39425 : if (cmp != 0)
1514 18559 : return -cmp;
1515 20866 : return bms_compare(path1->parent->relids, path2->parent->relids);
1516 : }
1517 :
1518 : /*
1519 : * create_merge_append_path
1520 : * Creates a path corresponding to a MergeAppend plan, returning the
1521 : * pathnode.
1522 : */
1523 : MergeAppendPath *
1524 7450 : create_merge_append_path(PlannerInfo *root,
1525 : RelOptInfo *rel,
1526 : List *subpaths,
1527 : List *child_append_relid_sets,
1528 : List *pathkeys,
1529 : Relids required_outer)
1530 : {
1531 7450 : MergeAppendPath *pathnode = makeNode(MergeAppendPath);
1532 : int input_disabled_nodes;
1533 : Cost input_startup_cost;
1534 : Cost input_total_cost;
1535 : ListCell *l;
1536 :
1537 : /*
1538 : * We don't currently support parameterized MergeAppend paths, as
1539 : * explained in the comments for generate_orderedappend_paths.
1540 : */
1541 : Assert(bms_is_empty(rel->lateral_relids) && bms_is_empty(required_outer));
1542 :
1543 7450 : pathnode->child_append_relid_sets = child_append_relid_sets;
1544 7450 : pathnode->path.pathtype = T_MergeAppend;
1545 7450 : pathnode->path.parent = rel;
1546 7450 : pathnode->path.pathtarget = rel->reltarget;
1547 7450 : pathnode->path.param_info = NULL;
1548 7450 : pathnode->path.parallel_aware = false;
1549 7450 : pathnode->path.parallel_safe = rel->consider_parallel;
1550 7450 : pathnode->path.parallel_workers = 0;
1551 7450 : pathnode->path.pathkeys = pathkeys;
1552 7450 : pathnode->subpaths = subpaths;
1553 :
1554 : /*
1555 : * Apply query-wide LIMIT if known and path is for sole base relation.
1556 : * (Handling this at this low level is a bit klugy.)
1557 : */
1558 7450 : if (bms_equal(rel->relids, root->all_query_rels))
1559 3463 : pathnode->limit_tuples = root->limit_tuples;
1560 : else
1561 3987 : pathnode->limit_tuples = -1.0;
1562 :
1563 : /*
1564 : * Add up the sizes and costs of the input paths.
1565 : */
1566 7450 : pathnode->path.rows = 0;
1567 7450 : input_disabled_nodes = 0;
1568 7450 : input_startup_cost = 0;
1569 7450 : input_total_cost = 0;
1570 27043 : foreach(l, subpaths)
1571 : {
1572 19593 : Path *subpath = (Path *) lfirst(l);
1573 : int presorted_keys;
1574 : Path sort_path; /* dummy for result of
1575 : * cost_sort/cost_incremental_sort */
1576 :
1577 : /* All child paths should be unparameterized */
1578 : Assert(bms_is_empty(PATH_REQ_OUTER(subpath)));
1579 :
1580 19593 : pathnode->path.rows += subpath->rows;
1581 37052 : pathnode->path.parallel_safe = pathnode->path.parallel_safe &&
1582 17459 : subpath->parallel_safe;
1583 :
1584 19593 : if (!pathkeys_count_contained_in(pathkeys, subpath->pathkeys,
1585 : &presorted_keys))
1586 : {
1587 : /*
1588 : * We'll need to insert a Sort node, so include costs for that. We
1589 : * choose to use incremental sort if it is enabled and there are
1590 : * presorted keys; otherwise we use full sort.
1591 : *
1592 : * We can use the parent's LIMIT if any, since we certainly won't
1593 : * pull more than that many tuples from any child.
1594 : */
1595 494 : if (enable_incremental_sort && presorted_keys > 0)
1596 : {
1597 15 : cost_incremental_sort(&sort_path,
1598 : root,
1599 : pathkeys,
1600 : presorted_keys,
1601 : subpath->disabled_nodes,
1602 : subpath->startup_cost,
1603 : subpath->total_cost,
1604 : subpath->rows,
1605 15 : subpath->pathtarget->width,
1606 : 0.0,
1607 : work_mem,
1608 : pathnode->limit_tuples);
1609 : }
1610 : else
1611 : {
1612 479 : cost_sort(&sort_path,
1613 : root,
1614 : pathkeys,
1615 : subpath->disabled_nodes,
1616 : subpath->total_cost,
1617 : subpath->rows,
1618 479 : subpath->pathtarget->width,
1619 : 0.0,
1620 : work_mem,
1621 : pathnode->limit_tuples);
1622 : }
1623 :
1624 494 : subpath = &sort_path;
1625 : }
1626 :
1627 19593 : input_disabled_nodes += subpath->disabled_nodes;
1628 19593 : input_startup_cost += subpath->startup_cost;
1629 19593 : input_total_cost += subpath->total_cost;
1630 : }
1631 :
1632 : /*
1633 : * Now we can compute total costs of the MergeAppend. If there's exactly
1634 : * one child path and its parallel awareness matches that of the
1635 : * MergeAppend, then the MergeAppend is a no-op and will be discarded
1636 : * later (in setrefs.c); otherwise we do the normal cost calculation.
1637 : */
1638 7450 : if (list_length(subpaths) == 1 &&
1639 95 : ((Path *) linitial(subpaths))->parallel_aware ==
1640 95 : pathnode->path.parallel_aware)
1641 : {
1642 95 : pathnode->path.disabled_nodes = input_disabled_nodes;
1643 95 : pathnode->path.startup_cost = input_startup_cost;
1644 95 : pathnode->path.total_cost = input_total_cost;
1645 : }
1646 : else
1647 7355 : cost_merge_append(&pathnode->path, root,
1648 : pathkeys, list_length(subpaths),
1649 : input_disabled_nodes,
1650 : input_startup_cost, input_total_cost,
1651 : pathnode->path.rows);
1652 :
1653 7450 : return pathnode;
1654 : }
1655 :
1656 : /*
1657 : * create_group_result_path
1658 : * Creates a path representing a Result-and-nothing-else plan.
1659 : *
1660 : * This is only used for degenerate grouping cases, in which we know we
1661 : * need to produce one result row, possibly filtered by a HAVING qual.
1662 : */
1663 : GroupResultPath *
1664 139249 : create_group_result_path(PlannerInfo *root, RelOptInfo *rel,
1665 : PathTarget *target, List *havingqual)
1666 : {
1667 139249 : GroupResultPath *pathnode = makeNode(GroupResultPath);
1668 :
1669 139249 : pathnode->path.pathtype = T_Result;
1670 139249 : pathnode->path.parent = rel;
1671 139249 : pathnode->path.pathtarget = target;
1672 139249 : pathnode->path.param_info = NULL; /* there are no other rels... */
1673 139249 : pathnode->path.parallel_aware = false;
1674 139249 : pathnode->path.parallel_safe = rel->consider_parallel;
1675 139249 : pathnode->path.parallel_workers = 0;
1676 139249 : pathnode->path.pathkeys = NIL;
1677 139249 : pathnode->quals = havingqual;
1678 :
1679 : /*
1680 : * We can't quite use cost_resultscan() because the quals we want to
1681 : * account for are not baserestrict quals of the rel. Might as well just
1682 : * hack it here.
1683 : */
1684 139249 : pathnode->path.rows = 1;
1685 139249 : pathnode->path.startup_cost = target->cost.startup;
1686 139249 : pathnode->path.total_cost = target->cost.startup +
1687 139249 : cpu_tuple_cost + target->cost.per_tuple;
1688 :
1689 : /*
1690 : * Add cost of qual, if any --- but we ignore its selectivity, since our
1691 : * rowcount estimate should be 1 no matter what the qual is.
1692 : */
1693 139249 : if (havingqual)
1694 : {
1695 : QualCost qual_cost;
1696 :
1697 507 : cost_qual_eval(&qual_cost, havingqual, root);
1698 : /* havingqual is evaluated once at startup */
1699 507 : pathnode->path.startup_cost += qual_cost.startup + qual_cost.per_tuple;
1700 507 : pathnode->path.total_cost += qual_cost.startup + qual_cost.per_tuple;
1701 : }
1702 :
1703 139249 : return pathnode;
1704 : }
1705 :
1706 : /*
1707 : * create_material_path
1708 : * Creates a path corresponding to a Material plan, returning the
1709 : * pathnode.
1710 : */
1711 : MaterialPath *
1712 503672 : create_material_path(RelOptInfo *rel, Path *subpath, bool enabled)
1713 : {
1714 503672 : MaterialPath *pathnode = makeNode(MaterialPath);
1715 :
1716 : Assert(subpath->parent == rel);
1717 :
1718 503672 : pathnode->path.pathtype = T_Material;
1719 503672 : pathnode->path.parent = rel;
1720 503672 : pathnode->path.pathtarget = rel->reltarget;
1721 503672 : pathnode->path.param_info = subpath->param_info;
1722 503672 : pathnode->path.parallel_aware = false;
1723 965835 : pathnode->path.parallel_safe = rel->consider_parallel &&
1724 462163 : subpath->parallel_safe;
1725 503672 : pathnode->path.parallel_workers = subpath->parallel_workers;
1726 503672 : pathnode->path.pathkeys = subpath->pathkeys;
1727 :
1728 503672 : pathnode->subpath = subpath;
1729 :
1730 503672 : cost_material(&pathnode->path,
1731 : enabled,
1732 : subpath->disabled_nodes,
1733 : subpath->startup_cost,
1734 : subpath->total_cost,
1735 : subpath->rows,
1736 503672 : subpath->pathtarget->width);
1737 :
1738 503672 : return pathnode;
1739 : }
1740 :
1741 : /*
1742 : * create_memoize_path
1743 : * Creates a path corresponding to a Memoize plan, returning the pathnode.
1744 : */
1745 : MemoizePath *
1746 220677 : create_memoize_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath,
1747 : List *param_exprs, List *hash_operators,
1748 : bool singlerow, bool binary_mode, Cardinality est_calls)
1749 : {
1750 220677 : MemoizePath *pathnode = makeNode(MemoizePath);
1751 :
1752 : Assert(subpath->parent == rel);
1753 :
1754 220677 : pathnode->path.pathtype = T_Memoize;
1755 220677 : pathnode->path.parent = rel;
1756 220677 : pathnode->path.pathtarget = rel->reltarget;
1757 220677 : pathnode->path.param_info = subpath->param_info;
1758 220677 : pathnode->path.parallel_aware = false;
1759 431236 : pathnode->path.parallel_safe = rel->consider_parallel &&
1760 210559 : subpath->parallel_safe;
1761 220677 : pathnode->path.parallel_workers = subpath->parallel_workers;
1762 220677 : pathnode->path.pathkeys = subpath->pathkeys;
1763 :
1764 220677 : pathnode->subpath = subpath;
1765 220677 : pathnode->hash_operators = hash_operators;
1766 220677 : pathnode->param_exprs = param_exprs;
1767 220677 : pathnode->singlerow = singlerow;
1768 220677 : pathnode->binary_mode = binary_mode;
1769 :
1770 : /*
1771 : * For now we set est_entries to 0. cost_memoize_rescan() does all the
1772 : * hard work to determine how many cache entries there are likely to be,
1773 : * so it seems best to leave it up to that function to fill this field in.
1774 : * If left at 0, the executor will make a guess at a good value.
1775 : */
1776 220677 : pathnode->est_entries = 0;
1777 :
1778 220677 : pathnode->est_calls = clamp_row_est(est_calls);
1779 :
1780 : /* These will also be set later in cost_memoize_rescan() */
1781 220677 : pathnode->est_unique_keys = 0.0;
1782 220677 : pathnode->est_hit_ratio = 0.0;
1783 :
1784 : /*
1785 : * We should not be asked to generate this path type when memoization is
1786 : * disabled, so set our count of disabled nodes equal to the subpath's
1787 : * count.
1788 : *
1789 : * It would be nice to also Assert that memoization is enabled, but the
1790 : * value of enable_memoize is not controlling: what we would need to check
1791 : * is that the JoinPathExtraData's pgs_mask included PGS_NESTLOOP_MEMOIZE.
1792 : */
1793 220677 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
1794 :
1795 : /*
1796 : * Add a small additional charge for caching the first entry. All the
1797 : * harder calculations for rescans are performed in cost_memoize_rescan().
1798 : */
1799 220677 : pathnode->path.startup_cost = subpath->startup_cost + cpu_tuple_cost;
1800 220677 : pathnode->path.total_cost = subpath->total_cost + cpu_tuple_cost;
1801 220677 : pathnode->path.rows = subpath->rows;
1802 :
1803 220677 : return pathnode;
1804 : }
1805 :
1806 : /*
1807 : * create_gather_merge_path
1808 : *
1809 : * Creates a path corresponding to a gather merge scan, returning
1810 : * the pathnode.
1811 : */
1812 : GatherMergePath *
1813 15816 : create_gather_merge_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath,
1814 : PathTarget *target, List *pathkeys,
1815 : Relids required_outer, double *rows)
1816 : {
1817 15816 : GatherMergePath *pathnode = makeNode(GatherMergePath);
1818 15816 : int input_disabled_nodes = 0;
1819 15816 : Cost input_startup_cost = 0;
1820 15816 : Cost input_total_cost = 0;
1821 :
1822 : Assert(subpath->parallel_safe);
1823 : Assert(pathkeys);
1824 :
1825 : /*
1826 : * The subpath should guarantee that it is adequately ordered either by
1827 : * adding an explicit sort node or by using presorted input. We cannot
1828 : * add an explicit Sort node for the subpath in createplan.c on additional
1829 : * pathkeys, because we can't guarantee the sort would be safe. For
1830 : * example, expressions may be volatile or otherwise parallel unsafe.
1831 : */
1832 15816 : if (!pathkeys_contained_in(pathkeys, subpath->pathkeys))
1833 0 : elog(ERROR, "gather merge input not sufficiently sorted");
1834 :
1835 15816 : pathnode->path.pathtype = T_GatherMerge;
1836 15816 : pathnode->path.parent = rel;
1837 15816 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1838 : required_outer);
1839 15816 : pathnode->path.parallel_aware = false;
1840 :
1841 15816 : pathnode->subpath = subpath;
1842 15816 : pathnode->num_workers = subpath->parallel_workers;
1843 15816 : pathnode->path.pathkeys = pathkeys;
1844 15816 : pathnode->path.pathtarget = target ? target : rel->reltarget;
1845 :
1846 15816 : input_disabled_nodes += subpath->disabled_nodes;
1847 15816 : input_startup_cost += subpath->startup_cost;
1848 15816 : input_total_cost += subpath->total_cost;
1849 :
1850 15816 : cost_gather_merge(pathnode, root, rel, pathnode->path.param_info,
1851 : input_disabled_nodes, input_startup_cost,
1852 : input_total_cost, rows);
1853 :
1854 15816 : return pathnode;
1855 : }
1856 :
1857 : /*
1858 : * create_gather_path
1859 : * Creates a path corresponding to a gather scan, returning the
1860 : * pathnode.
1861 : *
1862 : * 'rows' may optionally be set to override row estimates from other sources.
1863 : */
1864 : GatherPath *
1865 21880 : create_gather_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath,
1866 : PathTarget *target, Relids required_outer, double *rows)
1867 : {
1868 21880 : GatherPath *pathnode = makeNode(GatherPath);
1869 :
1870 : Assert(subpath->parallel_safe);
1871 :
1872 21880 : pathnode->path.pathtype = T_Gather;
1873 21880 : pathnode->path.parent = rel;
1874 21880 : pathnode->path.pathtarget = target;
1875 21880 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1876 : required_outer);
1877 21880 : pathnode->path.parallel_aware = false;
1878 21880 : pathnode->path.parallel_safe = false;
1879 21880 : pathnode->path.parallel_workers = 0;
1880 21880 : pathnode->path.pathkeys = NIL; /* Gather has unordered result */
1881 :
1882 21880 : pathnode->subpath = subpath;
1883 21880 : pathnode->num_workers = subpath->parallel_workers;
1884 21880 : pathnode->single_copy = false;
1885 :
1886 21880 : if (pathnode->num_workers == 0)
1887 : {
1888 0 : pathnode->path.pathkeys = subpath->pathkeys;
1889 0 : pathnode->num_workers = 1;
1890 0 : pathnode->single_copy = true;
1891 : }
1892 :
1893 21880 : cost_gather(pathnode, root, rel, pathnode->path.param_info, rows);
1894 :
1895 21880 : return pathnode;
1896 : }
1897 :
1898 : /*
1899 : * create_subqueryscan_path
1900 : * Creates a path corresponding to a scan of a subquery,
1901 : * returning the pathnode.
1902 : *
1903 : * Caller must pass trivial_pathtarget = true if it believes rel->reltarget to
1904 : * be trivial, ie just a fetch of all the subquery output columns in order.
1905 : * While we could determine that here, the caller can usually do it more
1906 : * efficiently (or at least amortize it over multiple calls).
1907 : */
1908 : SubqueryScanPath *
1909 49226 : create_subqueryscan_path(PlannerInfo *root, RelOptInfo *rel, Path *subpath,
1910 : bool trivial_pathtarget,
1911 : List *pathkeys, Relids required_outer)
1912 : {
1913 49226 : SubqueryScanPath *pathnode = makeNode(SubqueryScanPath);
1914 :
1915 49226 : pathnode->path.pathtype = T_SubqueryScan;
1916 49226 : pathnode->path.parent = rel;
1917 49226 : pathnode->path.pathtarget = rel->reltarget;
1918 49226 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
1919 : required_outer);
1920 49226 : pathnode->path.parallel_aware = false;
1921 82808 : pathnode->path.parallel_safe = rel->consider_parallel &&
1922 33582 : subpath->parallel_safe;
1923 49226 : pathnode->path.parallel_workers = subpath->parallel_workers;
1924 49226 : pathnode->path.pathkeys = pathkeys;
1925 49226 : pathnode->subpath = subpath;
1926 :
1927 49226 : cost_subqueryscan(pathnode, root, rel, pathnode->path.param_info,
1928 : trivial_pathtarget);
1929 :
1930 49226 : return pathnode;
1931 : }
1932 :
1933 : /*
1934 : * create_functionscan_path
1935 : * Creates a path corresponding to a sequential scan of a function,
1936 : * returning the pathnode.
1937 : */
1938 : Path *
1939 35646 : create_functionscan_path(PlannerInfo *root, RelOptInfo *rel,
1940 : List *pathkeys, Relids required_outer)
1941 : {
1942 35646 : Path *pathnode = makeNode(Path);
1943 :
1944 35646 : pathnode->pathtype = T_FunctionScan;
1945 35646 : pathnode->parent = rel;
1946 35646 : pathnode->pathtarget = rel->reltarget;
1947 35646 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
1948 : required_outer);
1949 35646 : pathnode->parallel_aware = false;
1950 35646 : pathnode->parallel_safe = rel->consider_parallel;
1951 35646 : pathnode->parallel_workers = 0;
1952 35646 : pathnode->pathkeys = pathkeys;
1953 :
1954 35646 : cost_functionscan(pathnode, root, rel, pathnode->param_info);
1955 :
1956 35646 : return pathnode;
1957 : }
1958 :
1959 : /*
1960 : * create_tablefuncscan_path
1961 : * Creates a path corresponding to a sequential scan of a table function,
1962 : * returning the pathnode.
1963 : */
1964 : Path *
1965 519 : create_tablefuncscan_path(PlannerInfo *root, RelOptInfo *rel,
1966 : Relids required_outer)
1967 : {
1968 519 : Path *pathnode = makeNode(Path);
1969 :
1970 519 : pathnode->pathtype = T_TableFuncScan;
1971 519 : pathnode->parent = rel;
1972 519 : pathnode->pathtarget = rel->reltarget;
1973 519 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
1974 : required_outer);
1975 519 : pathnode->parallel_aware = false;
1976 519 : pathnode->parallel_safe = rel->consider_parallel;
1977 519 : pathnode->parallel_workers = 0;
1978 519 : pathnode->pathkeys = NIL; /* result is always unordered */
1979 :
1980 519 : cost_tablefuncscan(pathnode, root, rel, pathnode->param_info);
1981 :
1982 519 : return pathnode;
1983 : }
1984 :
1985 : /*
1986 : * create_valuesscan_path
1987 : * Creates a path corresponding to a scan of a VALUES list,
1988 : * returning the pathnode.
1989 : */
1990 : Path *
1991 6793 : create_valuesscan_path(PlannerInfo *root, RelOptInfo *rel,
1992 : Relids required_outer)
1993 : {
1994 6793 : Path *pathnode = makeNode(Path);
1995 :
1996 6793 : pathnode->pathtype = T_ValuesScan;
1997 6793 : pathnode->parent = rel;
1998 6793 : pathnode->pathtarget = rel->reltarget;
1999 6793 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
2000 : required_outer);
2001 6793 : pathnode->parallel_aware = false;
2002 6793 : pathnode->parallel_safe = rel->consider_parallel;
2003 6793 : pathnode->parallel_workers = 0;
2004 6793 : pathnode->pathkeys = NIL; /* result is always unordered */
2005 :
2006 6793 : cost_valuesscan(pathnode, root, rel, pathnode->param_info);
2007 :
2008 6793 : return pathnode;
2009 : }
2010 :
2011 : /*
2012 : * create_ctescan_path
2013 : * Creates a path corresponding to a scan of a non-self-reference CTE,
2014 : * returning the pathnode.
2015 : */
2016 : Path *
2017 2928 : create_ctescan_path(PlannerInfo *root, RelOptInfo *rel,
2018 : List *pathkeys, Relids required_outer)
2019 : {
2020 2928 : Path *pathnode = makeNode(Path);
2021 :
2022 2928 : pathnode->pathtype = T_CteScan;
2023 2928 : pathnode->parent = rel;
2024 2928 : pathnode->pathtarget = rel->reltarget;
2025 2928 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
2026 : required_outer);
2027 2928 : pathnode->parallel_aware = false;
2028 2928 : pathnode->parallel_safe = rel->consider_parallel;
2029 2928 : pathnode->parallel_workers = 0;
2030 2928 : pathnode->pathkeys = pathkeys;
2031 :
2032 2928 : cost_ctescan(pathnode, root, rel, pathnode->param_info);
2033 :
2034 2928 : return pathnode;
2035 : }
2036 :
2037 : /*
2038 : * create_namedtuplestorescan_path
2039 : * Creates a path corresponding to a scan of a named tuplestore, returning
2040 : * the pathnode.
2041 : */
2042 : Path *
2043 433 : create_namedtuplestorescan_path(PlannerInfo *root, RelOptInfo *rel,
2044 : Relids required_outer)
2045 : {
2046 433 : Path *pathnode = makeNode(Path);
2047 :
2048 433 : pathnode->pathtype = T_NamedTuplestoreScan;
2049 433 : pathnode->parent = rel;
2050 433 : pathnode->pathtarget = rel->reltarget;
2051 433 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
2052 : required_outer);
2053 433 : pathnode->parallel_aware = false;
2054 433 : pathnode->parallel_safe = rel->consider_parallel;
2055 433 : pathnode->parallel_workers = 0;
2056 433 : pathnode->pathkeys = NIL; /* result is always unordered */
2057 :
2058 433 : cost_namedtuplestorescan(pathnode, root, rel, pathnode->param_info);
2059 :
2060 433 : return pathnode;
2061 : }
2062 :
2063 : /*
2064 : * create_resultscan_path
2065 : * Creates a path corresponding to a scan of an RTE_RESULT relation,
2066 : * returning the pathnode.
2067 : */
2068 : Path *
2069 3660 : create_resultscan_path(PlannerInfo *root, RelOptInfo *rel,
2070 : Relids required_outer)
2071 : {
2072 3660 : Path *pathnode = makeNode(Path);
2073 :
2074 3660 : pathnode->pathtype = T_Result;
2075 3660 : pathnode->parent = rel;
2076 3660 : pathnode->pathtarget = rel->reltarget;
2077 3660 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
2078 : required_outer);
2079 3660 : pathnode->parallel_aware = false;
2080 3660 : pathnode->parallel_safe = rel->consider_parallel;
2081 3660 : pathnode->parallel_workers = 0;
2082 3660 : pathnode->pathkeys = NIL; /* result is always unordered */
2083 :
2084 3660 : cost_resultscan(pathnode, root, rel, pathnode->param_info);
2085 :
2086 3660 : return pathnode;
2087 : }
2088 :
2089 : /*
2090 : * create_worktablescan_path
2091 : * Creates a path corresponding to a scan of a self-reference CTE,
2092 : * returning the pathnode.
2093 : */
2094 : Path *
2095 692 : create_worktablescan_path(PlannerInfo *root, RelOptInfo *rel,
2096 : Relids required_outer)
2097 : {
2098 692 : Path *pathnode = makeNode(Path);
2099 :
2100 692 : pathnode->pathtype = T_WorkTableScan;
2101 692 : pathnode->parent = rel;
2102 692 : pathnode->pathtarget = rel->reltarget;
2103 692 : pathnode->param_info = get_baserel_parampathinfo(root, rel,
2104 : required_outer);
2105 692 : pathnode->parallel_aware = false;
2106 692 : pathnode->parallel_safe = rel->consider_parallel;
2107 692 : pathnode->parallel_workers = 0;
2108 692 : pathnode->pathkeys = NIL; /* result is always unordered */
2109 :
2110 : /* Cost is the same as for a regular CTE scan */
2111 692 : cost_ctescan(pathnode, root, rel, pathnode->param_info);
2112 :
2113 692 : return pathnode;
2114 : }
2115 :
2116 : /*
2117 : * create_foreignscan_path
2118 : * Creates a path corresponding to a scan of a foreign base table,
2119 : * returning the pathnode.
2120 : *
2121 : * This function is never called from core Postgres; rather, it's expected
2122 : * to be called by the GetForeignPaths function of a foreign data wrapper.
2123 : * We make the FDW supply all fields of the path, since we do not have any way
2124 : * to calculate them in core. However, there is a usually-sane default for
2125 : * the pathtarget (rel->reltarget), so we let a NULL for "target" select that.
2126 : */
2127 : ForeignPath *
2128 1883 : create_foreignscan_path(PlannerInfo *root, RelOptInfo *rel,
2129 : PathTarget *target,
2130 : double rows, int disabled_nodes,
2131 : Cost startup_cost, Cost total_cost,
2132 : List *pathkeys,
2133 : Relids required_outer,
2134 : Path *fdw_outerpath,
2135 : List *fdw_restrictinfo,
2136 : List *fdw_private)
2137 : {
2138 1883 : ForeignPath *pathnode = makeNode(ForeignPath);
2139 :
2140 : /* Historically some FDWs were confused about when to use this */
2141 : Assert(IS_SIMPLE_REL(rel));
2142 :
2143 1883 : pathnode->path.pathtype = T_ForeignScan;
2144 1883 : pathnode->path.parent = rel;
2145 1883 : pathnode->path.pathtarget = target ? target : rel->reltarget;
2146 1883 : pathnode->path.param_info = get_baserel_parampathinfo(root, rel,
2147 : required_outer);
2148 1883 : pathnode->path.parallel_aware = false;
2149 1883 : pathnode->path.parallel_safe = rel->consider_parallel;
2150 1883 : pathnode->path.parallel_workers = 0;
2151 1883 : pathnode->path.rows = rows;
2152 1883 : pathnode->path.disabled_nodes = disabled_nodes;
2153 1883 : pathnode->path.startup_cost = startup_cost;
2154 1883 : pathnode->path.total_cost = total_cost;
2155 1883 : pathnode->path.pathkeys = pathkeys;
2156 :
2157 1883 : pathnode->fdw_outerpath = fdw_outerpath;
2158 1883 : pathnode->fdw_restrictinfo = fdw_restrictinfo;
2159 1883 : pathnode->fdw_private = fdw_private;
2160 :
2161 1883 : return pathnode;
2162 : }
2163 :
2164 : /*
2165 : * create_foreign_join_path
2166 : * Creates a path corresponding to a scan of a foreign join,
2167 : * returning the pathnode.
2168 : *
2169 : * This function is never called from core Postgres; rather, it's expected
2170 : * to be called by the GetForeignJoinPaths function of a foreign data wrapper.
2171 : * We make the FDW supply all fields of the path, since we do not have any way
2172 : * to calculate them in core. However, there is a usually-sane default for
2173 : * the pathtarget (rel->reltarget), so we let a NULL for "target" select that.
2174 : */
2175 : ForeignPath *
2176 606 : create_foreign_join_path(PlannerInfo *root, RelOptInfo *rel,
2177 : PathTarget *target,
2178 : double rows, int disabled_nodes,
2179 : Cost startup_cost, Cost total_cost,
2180 : List *pathkeys,
2181 : Relids required_outer,
2182 : Path *fdw_outerpath,
2183 : List *fdw_restrictinfo,
2184 : List *fdw_private)
2185 : {
2186 606 : ForeignPath *pathnode = makeNode(ForeignPath);
2187 :
2188 : /*
2189 : * We should use get_joinrel_parampathinfo to handle parameterized paths,
2190 : * but the API of this function doesn't support it, and existing
2191 : * extensions aren't yet trying to build such paths anyway. For the
2192 : * moment just throw an error if someone tries it; eventually we should
2193 : * revisit this.
2194 : */
2195 606 : if (!bms_is_empty(required_outer) || !bms_is_empty(rel->lateral_relids))
2196 0 : elog(ERROR, "parameterized foreign joins are not supported yet");
2197 :
2198 606 : pathnode->path.pathtype = T_ForeignScan;
2199 606 : pathnode->path.parent = rel;
2200 606 : pathnode->path.pathtarget = target ? target : rel->reltarget;
2201 606 : pathnode->path.param_info = NULL; /* XXX see above */
2202 606 : pathnode->path.parallel_aware = false;
2203 606 : pathnode->path.parallel_safe = rel->consider_parallel;
2204 606 : pathnode->path.parallel_workers = 0;
2205 606 : pathnode->path.rows = rows;
2206 606 : pathnode->path.disabled_nodes = disabled_nodes;
2207 606 : pathnode->path.startup_cost = startup_cost;
2208 606 : pathnode->path.total_cost = total_cost;
2209 606 : pathnode->path.pathkeys = pathkeys;
2210 :
2211 606 : pathnode->fdw_outerpath = fdw_outerpath;
2212 606 : pathnode->fdw_restrictinfo = fdw_restrictinfo;
2213 606 : pathnode->fdw_private = fdw_private;
2214 :
2215 606 : return pathnode;
2216 : }
2217 :
2218 : /*
2219 : * create_foreign_upper_path
2220 : * Creates a path corresponding to an upper relation that's computed
2221 : * directly by an FDW, returning the pathnode.
2222 : *
2223 : * This function is never called from core Postgres; rather, it's expected to
2224 : * be called by the GetForeignUpperPaths function of a foreign data wrapper.
2225 : * We make the FDW supply all fields of the path, since we do not have any way
2226 : * to calculate them in core. However, there is a usually-sane default for
2227 : * the pathtarget (rel->reltarget), so we let a NULL for "target" select that.
2228 : */
2229 : ForeignPath *
2230 294 : create_foreign_upper_path(PlannerInfo *root, RelOptInfo *rel,
2231 : PathTarget *target,
2232 : double rows, int disabled_nodes,
2233 : Cost startup_cost, Cost total_cost,
2234 : List *pathkeys,
2235 : Path *fdw_outerpath,
2236 : List *fdw_restrictinfo,
2237 : List *fdw_private)
2238 : {
2239 294 : ForeignPath *pathnode = makeNode(ForeignPath);
2240 :
2241 : /*
2242 : * Upper relations should never have any lateral references, since joining
2243 : * is complete.
2244 : */
2245 : Assert(bms_is_empty(rel->lateral_relids));
2246 :
2247 294 : pathnode->path.pathtype = T_ForeignScan;
2248 294 : pathnode->path.parent = rel;
2249 294 : pathnode->path.pathtarget = target ? target : rel->reltarget;
2250 294 : pathnode->path.param_info = NULL;
2251 294 : pathnode->path.parallel_aware = false;
2252 294 : pathnode->path.parallel_safe = rel->consider_parallel;
2253 294 : pathnode->path.parallel_workers = 0;
2254 294 : pathnode->path.rows = rows;
2255 294 : pathnode->path.disabled_nodes = disabled_nodes;
2256 294 : pathnode->path.startup_cost = startup_cost;
2257 294 : pathnode->path.total_cost = total_cost;
2258 294 : pathnode->path.pathkeys = pathkeys;
2259 :
2260 294 : pathnode->fdw_outerpath = fdw_outerpath;
2261 294 : pathnode->fdw_restrictinfo = fdw_restrictinfo;
2262 294 : pathnode->fdw_private = fdw_private;
2263 :
2264 294 : return pathnode;
2265 : }
2266 :
2267 : /*
2268 : * calc_nestloop_required_outer
2269 : * Compute the required_outer set for a nestloop join path
2270 : *
2271 : * Note: when considering a child join, the inputs nonetheless use top-level
2272 : * parent relids
2273 : *
2274 : * Note: result must not share storage with either input
2275 : */
2276 : Relids
2277 2669874 : calc_nestloop_required_outer(Relids outerrelids,
2278 : Relids outer_paramrels,
2279 : Relids innerrelids,
2280 : Relids inner_paramrels)
2281 : {
2282 : Relids required_outer;
2283 :
2284 : /* inner_path can require rels from outer path, but not vice versa */
2285 : Assert(!bms_overlap(outer_paramrels, innerrelids));
2286 : /* easy case if inner path is not parameterized */
2287 2669874 : if (!inner_paramrels)
2288 1867489 : return bms_copy(outer_paramrels);
2289 : /* else, form the union ... */
2290 802385 : required_outer = bms_union(outer_paramrels, inner_paramrels);
2291 : /* ... and remove any mention of now-satisfied outer rels */
2292 802385 : required_outer = bms_del_members(required_outer,
2293 : outerrelids);
2294 802385 : return required_outer;
2295 : }
2296 :
2297 : /*
2298 : * calc_non_nestloop_required_outer
2299 : * Compute the required_outer set for a merge or hash join path
2300 : *
2301 : * Note: result must not share storage with either input
2302 : */
2303 : Relids
2304 1720185 : calc_non_nestloop_required_outer(Path *outer_path, Path *inner_path)
2305 : {
2306 1720185 : Relids outer_paramrels = PATH_REQ_OUTER(outer_path);
2307 1720185 : Relids inner_paramrels = PATH_REQ_OUTER(inner_path);
2308 : Relids innerrelids PG_USED_FOR_ASSERTS_ONLY;
2309 : Relids outerrelids PG_USED_FOR_ASSERTS_ONLY;
2310 : Relids required_outer;
2311 :
2312 : /*
2313 : * Any parameterization of the input paths refers to topmost parents of
2314 : * the relevant relations, because reparameterize_path_by_child() hasn't
2315 : * been called yet. So we must consider topmost parents of the relations
2316 : * being joined, too, while checking for disallowed parameterization
2317 : * cases.
2318 : */
2319 1720185 : if (inner_path->parent->top_parent_relids)
2320 115969 : innerrelids = inner_path->parent->top_parent_relids;
2321 : else
2322 1604216 : innerrelids = inner_path->parent->relids;
2323 :
2324 1720185 : if (outer_path->parent->top_parent_relids)
2325 115969 : outerrelids = outer_path->parent->top_parent_relids;
2326 : else
2327 1604216 : outerrelids = outer_path->parent->relids;
2328 :
2329 : /* neither path can require rels from the other */
2330 : Assert(!bms_overlap(outer_paramrels, innerrelids));
2331 : Assert(!bms_overlap(inner_paramrels, outerrelids));
2332 : /* form the union ... */
2333 1720185 : required_outer = bms_union(outer_paramrels, inner_paramrels);
2334 : /* we do not need an explicit test for empty; bms_union gets it right */
2335 1720185 : return required_outer;
2336 : }
2337 :
2338 : /*
2339 : * create_nestloop_path
2340 : * Creates a pathnode corresponding to a nestloop join between two
2341 : * relations.
2342 : *
2343 : * 'joinrel' is the join relation.
2344 : * 'jointype' is the type of join required
2345 : * 'workspace' is the result from initial_cost_nestloop
2346 : * 'extra' contains various information about the join
2347 : * 'outer_path' is the outer path
2348 : * 'inner_path' is the inner path
2349 : * 'restrict_clauses' are the RestrictInfo nodes to apply at the join
2350 : * 'pathkeys' are the path keys of the new join path
2351 : * 'required_outer' is the set of required outer rels
2352 : *
2353 : * Returns the resulting path node.
2354 : */
2355 : NestPath *
2356 1150298 : create_nestloop_path(PlannerInfo *root,
2357 : RelOptInfo *joinrel,
2358 : JoinType jointype,
2359 : JoinCostWorkspace *workspace,
2360 : JoinPathExtraData *extra,
2361 : Path *outer_path,
2362 : Path *inner_path,
2363 : List *restrict_clauses,
2364 : List *pathkeys,
2365 : Relids required_outer)
2366 : {
2367 1150298 : NestPath *pathnode = makeNode(NestPath);
2368 1150298 : Relids inner_req_outer = PATH_REQ_OUTER(inner_path);
2369 : Relids outerrelids;
2370 :
2371 : /*
2372 : * Paths are parameterized by top-level parents, so run parameterization
2373 : * tests on the parent relids.
2374 : */
2375 1150298 : if (outer_path->parent->top_parent_relids)
2376 66149 : outerrelids = outer_path->parent->top_parent_relids;
2377 : else
2378 1084149 : outerrelids = outer_path->parent->relids;
2379 :
2380 : /*
2381 : * If the inner path is parameterized by the outer, we must drop any
2382 : * restrict_clauses that are due to be moved into the inner path. We have
2383 : * to do this now, rather than postpone the work till createplan time,
2384 : * because the restrict_clauses list can affect the size and cost
2385 : * estimates for this path. We detect such clauses by checking for serial
2386 : * number match to clauses already enforced in the inner path.
2387 : */
2388 1150298 : if (bms_overlap(inner_req_outer, outerrelids))
2389 : {
2390 302150 : Bitmapset *enforced_serials = get_param_path_clause_serials(inner_path);
2391 302150 : List *jclauses = NIL;
2392 : ListCell *lc;
2393 :
2394 668042 : foreach(lc, restrict_clauses)
2395 : {
2396 365892 : RestrictInfo *rinfo = (RestrictInfo *) lfirst(lc);
2397 :
2398 365892 : if (!bms_is_member(rinfo->rinfo_serial, enforced_serials))
2399 47954 : jclauses = lappend(jclauses, rinfo);
2400 : }
2401 302150 : restrict_clauses = jclauses;
2402 : }
2403 :
2404 1150298 : pathnode->jpath.path.pathtype = T_NestLoop;
2405 1150298 : pathnode->jpath.path.parent = joinrel;
2406 1150298 : pathnode->jpath.path.pathtarget = joinrel->reltarget;
2407 1150298 : pathnode->jpath.path.param_info =
2408 1150298 : get_joinrel_parampathinfo(root,
2409 : joinrel,
2410 : outer_path,
2411 : inner_path,
2412 : extra->sjinfo,
2413 : required_outer,
2414 : &restrict_clauses);
2415 1150298 : pathnode->jpath.path.parallel_aware = false;
2416 3347457 : pathnode->jpath.path.parallel_safe = joinrel->consider_parallel &&
2417 1150298 : outer_path->parallel_safe && inner_path->parallel_safe;
2418 : /* This is a foolish way to estimate parallel_workers, but for now... */
2419 1150298 : pathnode->jpath.path.parallel_workers = outer_path->parallel_workers;
2420 1150298 : pathnode->jpath.path.pathkeys = pathkeys;
2421 1150298 : pathnode->jpath.jointype = jointype;
2422 1150298 : pathnode->jpath.inner_unique = extra->inner_unique;
2423 1150298 : pathnode->jpath.outerjoinpath = outer_path;
2424 1150298 : pathnode->jpath.innerjoinpath = inner_path;
2425 1150298 : pathnode->jpath.joinrestrictinfo = restrict_clauses;
2426 :
2427 1150298 : final_cost_nestloop(root, pathnode, workspace, extra);
2428 :
2429 1150298 : return pathnode;
2430 : }
2431 :
2432 : /*
2433 : * create_mergejoin_path
2434 : * Creates a pathnode corresponding to a mergejoin join between
2435 : * two relations
2436 : *
2437 : * 'joinrel' is the join relation
2438 : * 'jointype' is the type of join required
2439 : * 'workspace' is the result from initial_cost_mergejoin
2440 : * 'extra' contains various information about the join
2441 : * 'outer_path' is the outer path
2442 : * 'inner_path' is the inner path
2443 : * 'restrict_clauses' are the RestrictInfo nodes to apply at the join
2444 : * 'pathkeys' are the path keys of the new join path
2445 : * 'required_outer' is the set of required outer rels
2446 : * 'mergeclauses' are the RestrictInfo nodes to use as merge clauses
2447 : * (this should be a subset of the restrict_clauses list)
2448 : * 'outersortkeys' are the sort varkeys for the outer relation
2449 : * 'innersortkeys' are the sort varkeys for the inner relation
2450 : * 'outer_presorted_keys' is the number of presorted keys of the outer path
2451 : */
2452 : MergePath *
2453 346043 : create_mergejoin_path(PlannerInfo *root,
2454 : RelOptInfo *joinrel,
2455 : JoinType jointype,
2456 : JoinCostWorkspace *workspace,
2457 : JoinPathExtraData *extra,
2458 : Path *outer_path,
2459 : Path *inner_path,
2460 : List *restrict_clauses,
2461 : List *pathkeys,
2462 : Relids required_outer,
2463 : List *mergeclauses,
2464 : List *outersortkeys,
2465 : List *innersortkeys,
2466 : int outer_presorted_keys)
2467 : {
2468 346043 : MergePath *pathnode = makeNode(MergePath);
2469 :
2470 346043 : pathnode->jpath.path.pathtype = T_MergeJoin;
2471 346043 : pathnode->jpath.path.parent = joinrel;
2472 346043 : pathnode->jpath.path.pathtarget = joinrel->reltarget;
2473 346043 : pathnode->jpath.path.param_info =
2474 346043 : get_joinrel_parampathinfo(root,
2475 : joinrel,
2476 : outer_path,
2477 : inner_path,
2478 : extra->sjinfo,
2479 : required_outer,
2480 : &restrict_clauses);
2481 346043 : pathnode->jpath.path.parallel_aware = false;
2482 1012537 : pathnode->jpath.path.parallel_safe = joinrel->consider_parallel &&
2483 346043 : outer_path->parallel_safe && inner_path->parallel_safe;
2484 : /* This is a foolish way to estimate parallel_workers, but for now... */
2485 346043 : pathnode->jpath.path.parallel_workers = outer_path->parallel_workers;
2486 346043 : pathnode->jpath.path.pathkeys = pathkeys;
2487 346043 : pathnode->jpath.jointype = jointype;
2488 346043 : pathnode->jpath.inner_unique = extra->inner_unique;
2489 346043 : pathnode->jpath.outerjoinpath = outer_path;
2490 346043 : pathnode->jpath.innerjoinpath = inner_path;
2491 346043 : pathnode->jpath.joinrestrictinfo = restrict_clauses;
2492 346043 : pathnode->path_mergeclauses = mergeclauses;
2493 346043 : pathnode->outersortkeys = outersortkeys;
2494 346043 : pathnode->innersortkeys = innersortkeys;
2495 346043 : pathnode->outer_presorted_keys = outer_presorted_keys;
2496 : /* pathnode->skip_mark_restore will be set by final_cost_mergejoin */
2497 : /* pathnode->materialize_inner will be set by final_cost_mergejoin */
2498 :
2499 346043 : final_cost_mergejoin(root, pathnode, workspace, extra);
2500 :
2501 346043 : return pathnode;
2502 : }
2503 :
2504 : /*
2505 : * create_hashjoin_path
2506 : * Creates a pathnode corresponding to a hash join between two relations.
2507 : *
2508 : * 'joinrel' is the join relation
2509 : * 'jointype' is the type of join required
2510 : * 'workspace' is the result from initial_cost_hashjoin
2511 : * 'extra' contains various information about the join
2512 : * 'outer_path' is the cheapest outer path
2513 : * 'inner_path' is the cheapest inner path
2514 : * 'parallel_hash' to select Parallel Hash of inner path (shared hash table)
2515 : * 'restrict_clauses' are the RestrictInfo nodes to apply at the join
2516 : * 'required_outer' is the set of required outer rels
2517 : * 'hashclauses' are the RestrictInfo nodes to use as hash clauses
2518 : * (this should be a subset of the restrict_clauses list)
2519 : */
2520 : HashPath *
2521 348164 : create_hashjoin_path(PlannerInfo *root,
2522 : RelOptInfo *joinrel,
2523 : JoinType jointype,
2524 : JoinCostWorkspace *workspace,
2525 : JoinPathExtraData *extra,
2526 : Path *outer_path,
2527 : Path *inner_path,
2528 : bool parallel_hash,
2529 : List *restrict_clauses,
2530 : Relids required_outer,
2531 : List *hashclauses)
2532 : {
2533 348164 : HashPath *pathnode = makeNode(HashPath);
2534 :
2535 348164 : pathnode->jpath.path.pathtype = T_HashJoin;
2536 348164 : pathnode->jpath.path.parent = joinrel;
2537 348164 : pathnode->jpath.path.pathtarget = joinrel->reltarget;
2538 348164 : pathnode->jpath.path.param_info =
2539 348164 : get_joinrel_parampathinfo(root,
2540 : joinrel,
2541 : outer_path,
2542 : inner_path,
2543 : extra->sjinfo,
2544 : required_outer,
2545 : &restrict_clauses);
2546 348164 : pathnode->jpath.path.parallel_aware =
2547 348164 : joinrel->consider_parallel && parallel_hash;
2548 1017472 : pathnode->jpath.path.parallel_safe = joinrel->consider_parallel &&
2549 348164 : outer_path->parallel_safe && inner_path->parallel_safe;
2550 : /* This is a foolish way to estimate parallel_workers, but for now... */
2551 348164 : pathnode->jpath.path.parallel_workers = outer_path->parallel_workers;
2552 :
2553 : /*
2554 : * A hashjoin never has pathkeys, since its output ordering is
2555 : * unpredictable due to possible batching. XXX If the inner relation is
2556 : * small enough, we could instruct the executor that it must not batch,
2557 : * and then we could assume that the output inherits the outer relation's
2558 : * ordering, which might save a sort step. However there is considerable
2559 : * downside if our estimate of the inner relation size is badly off. For
2560 : * the moment we don't risk it. (Note also that if we wanted to take this
2561 : * seriously, joinpath.c would have to consider many more paths for the
2562 : * outer rel than it does now.)
2563 : */
2564 348164 : pathnode->jpath.path.pathkeys = NIL;
2565 348164 : pathnode->jpath.jointype = jointype;
2566 348164 : pathnode->jpath.inner_unique = extra->inner_unique;
2567 348164 : pathnode->jpath.outerjoinpath = outer_path;
2568 348164 : pathnode->jpath.innerjoinpath = inner_path;
2569 348164 : pathnode->jpath.joinrestrictinfo = restrict_clauses;
2570 348164 : pathnode->path_hashclauses = hashclauses;
2571 : /* final_cost_hashjoin will fill in pathnode->num_batches */
2572 :
2573 348164 : final_cost_hashjoin(root, pathnode, workspace, extra);
2574 :
2575 348164 : return pathnode;
2576 : }
2577 :
2578 : /*
2579 : * create_projection_path
2580 : * Creates a pathnode that represents performing a projection.
2581 : *
2582 : * 'rel' is the parent relation associated with the result
2583 : * 'subpath' is the path representing the source of data
2584 : * 'target' is the PathTarget to be computed
2585 : */
2586 : ProjectionPath *
2587 317734 : create_projection_path(PlannerInfo *root,
2588 : RelOptInfo *rel,
2589 : Path *subpath,
2590 : PathTarget *target)
2591 : {
2592 317734 : ProjectionPath *pathnode = makeNode(ProjectionPath);
2593 : PathTarget *oldtarget;
2594 :
2595 : /*
2596 : * We mustn't put a ProjectionPath directly above another; it's useless
2597 : * and will confuse create_projection_plan. Rather than making sure all
2598 : * callers handle that, let's implement it here, by stripping off any
2599 : * ProjectionPath in what we're given. Given this rule, there won't be
2600 : * more than one.
2601 : */
2602 317734 : if (IsA(subpath, ProjectionPath))
2603 : {
2604 20 : ProjectionPath *subpp = (ProjectionPath *) subpath;
2605 :
2606 : Assert(subpp->path.parent == rel);
2607 20 : subpath = subpp->subpath;
2608 : Assert(!IsA(subpath, ProjectionPath));
2609 : }
2610 :
2611 317734 : pathnode->path.pathtype = T_Result;
2612 317734 : pathnode->path.parent = rel;
2613 317734 : pathnode->path.pathtarget = target;
2614 317734 : pathnode->path.param_info = subpath->param_info;
2615 317734 : pathnode->path.parallel_aware = false;
2616 749916 : pathnode->path.parallel_safe = rel->consider_parallel &&
2617 424982 : subpath->parallel_safe &&
2618 107248 : is_parallel_safe(root, (Node *) target->exprs);
2619 317734 : pathnode->path.parallel_workers = subpath->parallel_workers;
2620 : /* Projection does not change the sort order */
2621 317734 : pathnode->path.pathkeys = subpath->pathkeys;
2622 :
2623 317734 : pathnode->subpath = subpath;
2624 :
2625 : /*
2626 : * We might not need a separate Result node. If the input plan node type
2627 : * can project, we can just tell it to project something else. Or, if it
2628 : * can't project but the desired target has the same expression list as
2629 : * what the input will produce anyway, we can still give it the desired
2630 : * tlist (possibly changing its ressortgroupref labels, but nothing else).
2631 : * Note: in the latter case, create_projection_plan has to recheck our
2632 : * conclusion; see comments therein.
2633 : */
2634 317734 : oldtarget = subpath->pathtarget;
2635 331760 : if (is_projection_capable_path(subpath) ||
2636 14026 : equal(oldtarget->exprs, target->exprs))
2637 : {
2638 : /* No separate Result node needed */
2639 305195 : pathnode->dummypp = true;
2640 :
2641 : /*
2642 : * Set cost of plan as subpath's cost, adjusted for tlist replacement.
2643 : */
2644 305195 : pathnode->path.rows = subpath->rows;
2645 305195 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
2646 305195 : pathnode->path.startup_cost = subpath->startup_cost +
2647 305195 : (target->cost.startup - oldtarget->cost.startup);
2648 305195 : pathnode->path.total_cost = subpath->total_cost +
2649 305195 : (target->cost.startup - oldtarget->cost.startup) +
2650 305195 : (target->cost.per_tuple - oldtarget->cost.per_tuple) * subpath->rows;
2651 : }
2652 : else
2653 : {
2654 : /* We really do need the Result node */
2655 12539 : pathnode->dummypp = false;
2656 :
2657 : /*
2658 : * The Result node's cost is cpu_tuple_cost per row, plus the cost of
2659 : * evaluating the tlist. There is no qual to worry about.
2660 : */
2661 12539 : pathnode->path.rows = subpath->rows;
2662 12539 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
2663 12539 : pathnode->path.startup_cost = subpath->startup_cost +
2664 12539 : target->cost.startup;
2665 12539 : pathnode->path.total_cost = subpath->total_cost +
2666 12539 : target->cost.startup +
2667 12539 : (cpu_tuple_cost + target->cost.per_tuple) * subpath->rows;
2668 : }
2669 :
2670 317734 : return pathnode;
2671 : }
2672 :
2673 : /*
2674 : * apply_projection_to_path
2675 : * Add a projection step, or just apply the target directly to given path.
2676 : *
2677 : * This has the same net effect as create_projection_path(), except that if
2678 : * a separate Result plan node isn't needed, we just replace the given path's
2679 : * pathtarget with the desired one. This must be used only when the caller
2680 : * knows that the given path isn't referenced elsewhere and so can be modified
2681 : * in-place.
2682 : *
2683 : * If the input path is a GatherPath or GatherMergePath, we try to push the
2684 : * new target down to its input as well; this is a yet more invasive
2685 : * modification of the input path, which create_projection_path() can't do.
2686 : *
2687 : * Note that we mustn't change the source path's parent link; so when it is
2688 : * add_path'd to "rel" things will be a bit inconsistent. So far that has
2689 : * not caused any trouble.
2690 : *
2691 : * 'rel' is the parent relation associated with the result
2692 : * 'path' is the path representing the source of data
2693 : * 'target' is the PathTarget to be computed
2694 : */
2695 : Path *
2696 11773 : apply_projection_to_path(PlannerInfo *root,
2697 : RelOptInfo *rel,
2698 : Path *path,
2699 : PathTarget *target)
2700 : {
2701 : QualCost oldcost;
2702 :
2703 : /*
2704 : * If given path can't project, we might need a Result node, so make a
2705 : * separate ProjectionPath.
2706 : */
2707 11773 : if (!is_projection_capable_path(path))
2708 1070 : return (Path *) create_projection_path(root, rel, path, target);
2709 :
2710 : /*
2711 : * We can just jam the desired tlist into the existing path, being sure to
2712 : * update its cost estimates appropriately.
2713 : */
2714 10703 : oldcost = path->pathtarget->cost;
2715 10703 : path->pathtarget = target;
2716 :
2717 10703 : path->startup_cost += target->cost.startup - oldcost.startup;
2718 10703 : path->total_cost += target->cost.startup - oldcost.startup +
2719 10703 : (target->cost.per_tuple - oldcost.per_tuple) * path->rows;
2720 :
2721 : /*
2722 : * If the path happens to be a Gather or GatherMerge path, we'd like to
2723 : * arrange for the subpath to return the required target list so that
2724 : * workers can help project. But if there is something that is not
2725 : * parallel-safe in the target expressions, then we can't.
2726 : */
2727 10723 : if ((IsA(path, GatherPath) || IsA(path, GatherMergePath)) &&
2728 20 : is_parallel_safe(root, (Node *) target->exprs))
2729 : {
2730 : /*
2731 : * We always use create_projection_path here, even if the subpath is
2732 : * projection-capable, so as to avoid modifying the subpath in place.
2733 : * It seems unlikely at present that there could be any other
2734 : * references to the subpath, but better safe than sorry.
2735 : *
2736 : * Note that we don't change the parallel path's cost estimates; it
2737 : * might be appropriate to do so, to reflect the fact that the bulk of
2738 : * the target evaluation will happen in workers.
2739 : */
2740 20 : if (IsA(path, GatherPath))
2741 : {
2742 0 : GatherPath *gpath = (GatherPath *) path;
2743 :
2744 0 : gpath->subpath = (Path *)
2745 0 : create_projection_path(root,
2746 0 : gpath->subpath->parent,
2747 : gpath->subpath,
2748 : target);
2749 : }
2750 : else
2751 : {
2752 20 : GatherMergePath *gmpath = (GatherMergePath *) path;
2753 :
2754 20 : gmpath->subpath = (Path *)
2755 20 : create_projection_path(root,
2756 20 : gmpath->subpath->parent,
2757 : gmpath->subpath,
2758 : target);
2759 : }
2760 : }
2761 10683 : else if (path->parallel_safe &&
2762 3990 : !is_parallel_safe(root, (Node *) target->exprs))
2763 : {
2764 : /*
2765 : * We're inserting a parallel-restricted target list into a path
2766 : * currently marked parallel-safe, so we have to mark it as no longer
2767 : * safe.
2768 : */
2769 10 : path->parallel_safe = false;
2770 : }
2771 :
2772 10703 : return path;
2773 : }
2774 :
2775 : /*
2776 : * create_set_projection_path
2777 : * Creates a pathnode that represents performing a projection that
2778 : * includes set-returning functions.
2779 : *
2780 : * 'rel' is the parent relation associated with the result
2781 : * 'subpath' is the path representing the source of data
2782 : * 'target' is the PathTarget to be computed
2783 : */
2784 : ProjectSetPath *
2785 10441 : create_set_projection_path(PlannerInfo *root,
2786 : RelOptInfo *rel,
2787 : Path *subpath,
2788 : PathTarget *target)
2789 : {
2790 10441 : ProjectSetPath *pathnode = makeNode(ProjectSetPath);
2791 : double tlist_rows;
2792 : ListCell *lc;
2793 :
2794 10441 : pathnode->path.pathtype = T_ProjectSet;
2795 10441 : pathnode->path.parent = rel;
2796 10441 : pathnode->path.pathtarget = target;
2797 : /* For now, assume we are above any joins, so no parameterization */
2798 10441 : pathnode->path.param_info = NULL;
2799 10441 : pathnode->path.parallel_aware = false;
2800 24739 : pathnode->path.parallel_safe = rel->consider_parallel &&
2801 14269 : subpath->parallel_safe &&
2802 3828 : is_parallel_safe(root, (Node *) target->exprs);
2803 10441 : pathnode->path.parallel_workers = subpath->parallel_workers;
2804 : /* Projection does not change the sort order XXX? */
2805 10441 : pathnode->path.pathkeys = subpath->pathkeys;
2806 :
2807 10441 : pathnode->subpath = subpath;
2808 :
2809 : /*
2810 : * Estimate number of rows produced by SRFs for each row of input; if
2811 : * there's more than one in this node, use the maximum.
2812 : */
2813 10441 : tlist_rows = 1;
2814 22856 : foreach(lc, target->exprs)
2815 : {
2816 12415 : Node *node = (Node *) lfirst(lc);
2817 : double itemrows;
2818 :
2819 12415 : itemrows = expression_returns_set_rows(root, node);
2820 12415 : if (tlist_rows < itemrows)
2821 10080 : tlist_rows = itemrows;
2822 : }
2823 :
2824 : /*
2825 : * In addition to the cost of evaluating the tlist, charge cpu_tuple_cost
2826 : * per input row, and half of cpu_tuple_cost for each added output row.
2827 : * This is slightly bizarre maybe, but it's what 9.6 did; we may revisit
2828 : * this estimate later.
2829 : */
2830 10441 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
2831 10441 : pathnode->path.rows = subpath->rows * tlist_rows;
2832 10441 : pathnode->path.startup_cost = subpath->startup_cost +
2833 10441 : target->cost.startup;
2834 10441 : pathnode->path.total_cost = subpath->total_cost +
2835 10441 : target->cost.startup +
2836 10441 : (cpu_tuple_cost + target->cost.per_tuple) * subpath->rows +
2837 10441 : (pathnode->path.rows - subpath->rows) * cpu_tuple_cost / 2;
2838 :
2839 10441 : return pathnode;
2840 : }
2841 :
2842 : /*
2843 : * create_incremental_sort_path
2844 : * Creates a pathnode that represents performing an incremental sort.
2845 : *
2846 : * 'rel' is the parent relation associated with the result
2847 : * 'subpath' is the path representing the source of data
2848 : * 'pathkeys' represents the desired sort order
2849 : * 'presorted_keys' is the number of keys by which the input path is
2850 : * already sorted
2851 : * 'limit_tuples' is the estimated bound on the number of output tuples,
2852 : * or -1 if no LIMIT or couldn't estimate
2853 : */
2854 : IncrementalSortPath *
2855 8174 : create_incremental_sort_path(PlannerInfo *root,
2856 : RelOptInfo *rel,
2857 : Path *subpath,
2858 : List *pathkeys,
2859 : int presorted_keys,
2860 : double limit_tuples)
2861 : {
2862 8174 : IncrementalSortPath *sort = makeNode(IncrementalSortPath);
2863 8174 : SortPath *pathnode = &sort->spath;
2864 :
2865 8174 : pathnode->path.pathtype = T_IncrementalSort;
2866 8174 : pathnode->path.parent = rel;
2867 : /* Sort doesn't project, so use source path's pathtarget */
2868 8174 : pathnode->path.pathtarget = subpath->pathtarget;
2869 8174 : pathnode->path.param_info = subpath->param_info;
2870 8174 : pathnode->path.parallel_aware = false;
2871 12286 : pathnode->path.parallel_safe = rel->consider_parallel &&
2872 4112 : subpath->parallel_safe;
2873 8174 : pathnode->path.parallel_workers = subpath->parallel_workers;
2874 8174 : pathnode->path.pathkeys = pathkeys;
2875 :
2876 8174 : pathnode->subpath = subpath;
2877 :
2878 8174 : cost_incremental_sort(&pathnode->path,
2879 : root, pathkeys, presorted_keys,
2880 : subpath->disabled_nodes,
2881 : subpath->startup_cost,
2882 : subpath->total_cost,
2883 : subpath->rows,
2884 8174 : subpath->pathtarget->width,
2885 : 0.0, /* XXX comparison_cost shouldn't be 0? */
2886 : work_mem, limit_tuples);
2887 :
2888 8174 : sort->nPresortedCols = presorted_keys;
2889 :
2890 8174 : return sort;
2891 : }
2892 :
2893 : /*
2894 : * create_sort_path
2895 : * Creates a pathnode that represents performing an explicit sort.
2896 : *
2897 : * 'rel' is the parent relation associated with the result
2898 : * 'subpath' is the path representing the source of data
2899 : * 'pathkeys' represents the desired sort order
2900 : * 'limit_tuples' is the estimated bound on the number of output tuples,
2901 : * or -1 if no LIMIT or couldn't estimate
2902 : */
2903 : SortPath *
2904 97582 : create_sort_path(PlannerInfo *root,
2905 : RelOptInfo *rel,
2906 : Path *subpath,
2907 : List *pathkeys,
2908 : double limit_tuples)
2909 : {
2910 97582 : SortPath *pathnode = makeNode(SortPath);
2911 :
2912 97582 : pathnode->path.pathtype = T_Sort;
2913 97582 : pathnode->path.parent = rel;
2914 : /* Sort doesn't project, so use source path's pathtarget */
2915 97582 : pathnode->path.pathtarget = subpath->pathtarget;
2916 97582 : pathnode->path.param_info = subpath->param_info;
2917 97582 : pathnode->path.parallel_aware = false;
2918 170282 : pathnode->path.parallel_safe = rel->consider_parallel &&
2919 72700 : subpath->parallel_safe;
2920 97582 : pathnode->path.parallel_workers = subpath->parallel_workers;
2921 97582 : pathnode->path.pathkeys = pathkeys;
2922 :
2923 97582 : pathnode->subpath = subpath;
2924 :
2925 97582 : cost_sort(&pathnode->path, root, pathkeys,
2926 : subpath->disabled_nodes,
2927 : subpath->total_cost,
2928 : subpath->rows,
2929 97582 : subpath->pathtarget->width,
2930 : 0.0, /* XXX comparison_cost shouldn't be 0? */
2931 : work_mem, limit_tuples);
2932 :
2933 97582 : return pathnode;
2934 : }
2935 :
2936 : /*
2937 : * create_group_path
2938 : * Creates a pathnode that represents performing grouping of presorted input
2939 : *
2940 : * 'rel' is the parent relation associated with the result
2941 : * 'subpath' is the path representing the source of data
2942 : * 'target' is the PathTarget to be computed
2943 : * 'groupClause' is a list of SortGroupClause's representing the grouping
2944 : * 'qual' is the HAVING quals if any
2945 : * 'numGroups' is the estimated number of groups
2946 : */
2947 : GroupPath *
2948 1013 : create_group_path(PlannerInfo *root,
2949 : RelOptInfo *rel,
2950 : Path *subpath,
2951 : List *groupClause,
2952 : List *qual,
2953 : double numGroups)
2954 : {
2955 1013 : GroupPath *pathnode = makeNode(GroupPath);
2956 1013 : PathTarget *target = rel->reltarget;
2957 :
2958 1013 : pathnode->path.pathtype = T_Group;
2959 1013 : pathnode->path.parent = rel;
2960 1013 : pathnode->path.pathtarget = target;
2961 : /* For now, assume we are above any joins, so no parameterization */
2962 1013 : pathnode->path.param_info = NULL;
2963 1013 : pathnode->path.parallel_aware = false;
2964 1617 : pathnode->path.parallel_safe = rel->consider_parallel &&
2965 604 : subpath->parallel_safe;
2966 1013 : pathnode->path.parallel_workers = subpath->parallel_workers;
2967 : /* Group doesn't change sort ordering */
2968 1013 : pathnode->path.pathkeys = subpath->pathkeys;
2969 :
2970 1013 : pathnode->subpath = subpath;
2971 :
2972 1013 : pathnode->groupClause = groupClause;
2973 1013 : pathnode->qual = qual;
2974 :
2975 1013 : cost_group(&pathnode->path, root,
2976 : list_length(groupClause),
2977 : numGroups,
2978 : qual,
2979 : subpath->disabled_nodes,
2980 : subpath->startup_cost, subpath->total_cost,
2981 : subpath->rows);
2982 :
2983 : /* add tlist eval cost for each output row */
2984 1013 : pathnode->path.startup_cost += target->cost.startup;
2985 1013 : pathnode->path.total_cost += target->cost.startup +
2986 1013 : target->cost.per_tuple * pathnode->path.rows;
2987 :
2988 1013 : return pathnode;
2989 : }
2990 :
2991 : /*
2992 : * create_unique_path
2993 : * Creates a pathnode that represents performing an explicit Unique step
2994 : * on presorted input.
2995 : *
2996 : * 'rel' is the parent relation associated with the result
2997 : * 'subpath' is the path representing the source of data
2998 : * 'numCols' is the number of grouping columns
2999 : * 'numGroups' is the estimated number of groups
3000 : *
3001 : * The input path must be sorted on the grouping columns, plus possibly
3002 : * additional columns; so the first numCols pathkeys are the grouping columns
3003 : */
3004 : UniquePath *
3005 17777 : create_unique_path(PlannerInfo *root,
3006 : RelOptInfo *rel,
3007 : Path *subpath,
3008 : int numCols,
3009 : double numGroups)
3010 : {
3011 17777 : UniquePath *pathnode = makeNode(UniquePath);
3012 :
3013 17777 : pathnode->path.pathtype = T_Unique;
3014 17777 : pathnode->path.parent = rel;
3015 : /* Unique doesn't project, so use source path's pathtarget */
3016 17777 : pathnode->path.pathtarget = subpath->pathtarget;
3017 17777 : pathnode->path.param_info = subpath->param_info;
3018 17777 : pathnode->path.parallel_aware = false;
3019 32151 : pathnode->path.parallel_safe = rel->consider_parallel &&
3020 14374 : subpath->parallel_safe;
3021 17777 : pathnode->path.parallel_workers = subpath->parallel_workers;
3022 : /* Unique doesn't change the input ordering */
3023 17777 : pathnode->path.pathkeys = subpath->pathkeys;
3024 :
3025 17777 : pathnode->subpath = subpath;
3026 17777 : pathnode->numkeys = numCols;
3027 :
3028 : /*
3029 : * Charge one cpu_operator_cost per comparison per input tuple. We assume
3030 : * all columns get compared at most of the tuples. (XXX probably this is
3031 : * an overestimate.)
3032 : */
3033 17777 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
3034 17777 : pathnode->path.startup_cost = subpath->startup_cost;
3035 17777 : pathnode->path.total_cost = subpath->total_cost +
3036 17777 : cpu_operator_cost * subpath->rows * numCols;
3037 17777 : pathnode->path.rows = numGroups;
3038 :
3039 17777 : return pathnode;
3040 : }
3041 :
3042 : /*
3043 : * create_agg_path
3044 : * Creates a pathnode that represents performing aggregation/grouping
3045 : *
3046 : * 'rel' is the parent relation associated with the result
3047 : * 'subpath' is the path representing the source of data
3048 : * 'target' is the PathTarget to be computed
3049 : * 'aggstrategy' is the Agg node's basic implementation strategy
3050 : * 'aggsplit' is the Agg node's aggregate-splitting mode
3051 : * 'groupClause' is a list of SortGroupClause's representing the grouping
3052 : * 'qual' is the HAVING quals if any
3053 : * 'aggcosts' contains cost info about the aggregate functions to be computed
3054 : * 'numGroups' is the estimated number of groups (1 if not grouping)
3055 : */
3056 : AggPath *
3057 68638 : create_agg_path(PlannerInfo *root,
3058 : RelOptInfo *rel,
3059 : Path *subpath,
3060 : PathTarget *target,
3061 : AggStrategy aggstrategy,
3062 : AggSplit aggsplit,
3063 : List *groupClause,
3064 : List *qual,
3065 : const AggClauseCosts *aggcosts,
3066 : double numGroups)
3067 : {
3068 68638 : AggPath *pathnode = makeNode(AggPath);
3069 :
3070 68638 : pathnode->path.pathtype = T_Agg;
3071 68638 : pathnode->path.parent = rel;
3072 68638 : pathnode->path.pathtarget = target;
3073 68638 : pathnode->path.param_info = subpath->param_info;
3074 68638 : pathnode->path.parallel_aware = false;
3075 118502 : pathnode->path.parallel_safe = rel->consider_parallel &&
3076 49864 : subpath->parallel_safe;
3077 68638 : pathnode->path.parallel_workers = subpath->parallel_workers;
3078 :
3079 68638 : if (aggstrategy == AGG_SORTED)
3080 : {
3081 : /*
3082 : * Attempt to preserve the order of the subpath. Additional pathkeys
3083 : * may have been added in adjust_group_pathkeys_for_groupagg() to
3084 : * support ORDER BY / DISTINCT aggregates. Pathkeys added there
3085 : * belong to columns within the aggregate function, so we must strip
3086 : * these additional pathkeys off as those columns are unavailable
3087 : * above the aggregate node.
3088 : */
3089 11646 : if (list_length(subpath->pathkeys) > root->num_groupby_pathkeys)
3090 624 : pathnode->path.pathkeys = list_copy_head(subpath->pathkeys,
3091 : root->num_groupby_pathkeys);
3092 : else
3093 11022 : pathnode->path.pathkeys = subpath->pathkeys; /* preserves order */
3094 : }
3095 : else
3096 56992 : pathnode->path.pathkeys = NIL; /* output is unordered */
3097 :
3098 68638 : pathnode->subpath = subpath;
3099 :
3100 68638 : pathnode->aggstrategy = aggstrategy;
3101 68638 : pathnode->aggsplit = aggsplit;
3102 68638 : pathnode->numGroups = numGroups;
3103 68638 : pathnode->transitionSpace = aggcosts ? aggcosts->transitionSpace : 0;
3104 68638 : pathnode->groupClause = groupClause;
3105 68638 : pathnode->qual = qual;
3106 :
3107 68638 : cost_agg(&pathnode->path, root,
3108 : aggstrategy, aggcosts,
3109 : list_length(groupClause), numGroups,
3110 : qual,
3111 : subpath->disabled_nodes,
3112 : subpath->startup_cost, subpath->total_cost,
3113 68638 : subpath->rows, subpath->pathtarget->width);
3114 :
3115 : /* add tlist eval cost for each output row */
3116 68638 : pathnode->path.startup_cost += target->cost.startup;
3117 68638 : pathnode->path.total_cost += target->cost.startup +
3118 68638 : target->cost.per_tuple * pathnode->path.rows;
3119 :
3120 68638 : return pathnode;
3121 : }
3122 :
3123 : /*
3124 : * create_groupingsets_path
3125 : * Creates a pathnode that represents performing GROUPING SETS aggregation
3126 : *
3127 : * GroupingSetsPath represents sorted grouping with one or more grouping sets.
3128 : * The input path's result must be sorted to match the last entry in
3129 : * rollup_groupclauses.
3130 : *
3131 : * 'rel' is the parent relation associated with the result
3132 : * 'subpath' is the path representing the source of data
3133 : * 'target' is the PathTarget to be computed
3134 : * 'having_qual' is the HAVING quals if any
3135 : * 'rollups' is a list of RollupData nodes
3136 : * 'agg_costs' contains cost info about the aggregate functions to be computed
3137 : */
3138 : GroupingSetsPath *
3139 2014 : create_groupingsets_path(PlannerInfo *root,
3140 : RelOptInfo *rel,
3141 : Path *subpath,
3142 : List *having_qual,
3143 : AggStrategy aggstrategy,
3144 : List *rollups,
3145 : const AggClauseCosts *agg_costs)
3146 : {
3147 2014 : GroupingSetsPath *pathnode = makeNode(GroupingSetsPath);
3148 2014 : PathTarget *target = rel->reltarget;
3149 : ListCell *lc;
3150 2014 : bool is_first = true;
3151 2014 : bool is_first_sort = true;
3152 :
3153 : /* The topmost generated Plan node will be an Agg */
3154 2014 : pathnode->path.pathtype = T_Agg;
3155 2014 : pathnode->path.parent = rel;
3156 2014 : pathnode->path.pathtarget = target;
3157 2014 : pathnode->path.param_info = subpath->param_info;
3158 2014 : pathnode->path.parallel_aware = false;
3159 2965 : pathnode->path.parallel_safe = rel->consider_parallel &&
3160 951 : subpath->parallel_safe;
3161 2014 : pathnode->path.parallel_workers = subpath->parallel_workers;
3162 2014 : pathnode->subpath = subpath;
3163 :
3164 : /*
3165 : * Simplify callers by downgrading AGG_SORTED to AGG_PLAIN, and AGG_MIXED
3166 : * to AGG_HASHED, here if possible.
3167 : */
3168 2875 : if (aggstrategy == AGG_SORTED &&
3169 861 : list_length(rollups) == 1 &&
3170 445 : ((RollupData *) linitial(rollups))->groupClause == NIL)
3171 50 : aggstrategy = AGG_PLAIN;
3172 :
3173 2880 : if (aggstrategy == AGG_MIXED &&
3174 866 : list_length(rollups) == 1)
3175 0 : aggstrategy = AGG_HASHED;
3176 :
3177 : /*
3178 : * Output will be in sorted order by group_pathkeys if, and only if, there
3179 : * is a single rollup operation on a non-empty list of grouping
3180 : * expressions.
3181 : */
3182 2014 : if (aggstrategy == AGG_SORTED && list_length(rollups) == 1)
3183 395 : pathnode->path.pathkeys = root->group_pathkeys;
3184 : else
3185 1619 : pathnode->path.pathkeys = NIL;
3186 :
3187 2014 : pathnode->aggstrategy = aggstrategy;
3188 2014 : pathnode->rollups = rollups;
3189 2014 : pathnode->qual = having_qual;
3190 2014 : pathnode->transitionSpace = agg_costs ? agg_costs->transitionSpace : 0;
3191 :
3192 : Assert(rollups != NIL);
3193 : Assert(aggstrategy != AGG_PLAIN || list_length(rollups) == 1);
3194 : Assert(aggstrategy != AGG_MIXED || list_length(rollups) > 1);
3195 :
3196 6870 : foreach(lc, rollups)
3197 : {
3198 4856 : RollupData *rollup = lfirst(lc);
3199 4856 : List *gsets = rollup->gsets;
3200 4856 : int numGroupCols = list_length(linitial(gsets));
3201 :
3202 : /*
3203 : * In AGG_SORTED or AGG_PLAIN mode, the first rollup takes the
3204 : * (already-sorted) input, and following ones do their own sort.
3205 : *
3206 : * In AGG_HASHED mode, there is one rollup for each grouping set.
3207 : *
3208 : * In AGG_MIXED mode, the first rollups are hashed, the first
3209 : * non-hashed one takes the (already-sorted) input, and following ones
3210 : * do their own sort.
3211 : */
3212 4856 : if (is_first)
3213 : {
3214 2014 : cost_agg(&pathnode->path, root,
3215 : aggstrategy,
3216 : agg_costs,
3217 : numGroupCols,
3218 : rollup->numGroups,
3219 : having_qual,
3220 : subpath->disabled_nodes,
3221 : subpath->startup_cost,
3222 : subpath->total_cost,
3223 : subpath->rows,
3224 2014 : subpath->pathtarget->width);
3225 2014 : is_first = false;
3226 2014 : if (!rollup->is_hashed)
3227 861 : is_first_sort = false;
3228 : }
3229 : else
3230 : {
3231 : Path sort_path; /* dummy for result of cost_sort */
3232 : Path agg_path; /* dummy for result of cost_agg */
3233 :
3234 2842 : if (rollup->is_hashed || is_first_sort)
3235 : {
3236 : /*
3237 : * Account for cost of aggregation, but don't charge input
3238 : * cost again
3239 : */
3240 2176 : cost_agg(&agg_path, root,
3241 2176 : rollup->is_hashed ? AGG_HASHED : AGG_SORTED,
3242 : agg_costs,
3243 : numGroupCols,
3244 : rollup->numGroups,
3245 : having_qual,
3246 : 0, 0.0, 0.0,
3247 : subpath->rows,
3248 2176 : subpath->pathtarget->width);
3249 2176 : if (!rollup->is_hashed)
3250 866 : is_first_sort = false;
3251 : }
3252 : else
3253 : {
3254 : /* Account for cost of sort, but don't charge input cost again */
3255 666 : cost_sort(&sort_path, root, NIL, 0,
3256 : 0.0,
3257 : subpath->rows,
3258 666 : subpath->pathtarget->width,
3259 : 0.0,
3260 : work_mem,
3261 : -1.0);
3262 :
3263 : /* Account for cost of aggregation */
3264 :
3265 666 : cost_agg(&agg_path, root,
3266 : AGG_SORTED,
3267 : agg_costs,
3268 : numGroupCols,
3269 : rollup->numGroups,
3270 : having_qual,
3271 : sort_path.disabled_nodes,
3272 : sort_path.startup_cost,
3273 : sort_path.total_cost,
3274 : sort_path.rows,
3275 666 : subpath->pathtarget->width);
3276 : }
3277 :
3278 2842 : pathnode->path.disabled_nodes += agg_path.disabled_nodes;
3279 2842 : pathnode->path.total_cost += agg_path.total_cost;
3280 2842 : pathnode->path.rows += agg_path.rows;
3281 : }
3282 : }
3283 :
3284 : /* add tlist eval cost for each output row */
3285 2014 : pathnode->path.startup_cost += target->cost.startup;
3286 2014 : pathnode->path.total_cost += target->cost.startup +
3287 2014 : target->cost.per_tuple * pathnode->path.rows;
3288 :
3289 2014 : return pathnode;
3290 : }
3291 :
3292 : /*
3293 : * create_minmaxagg_path
3294 : * Creates a pathnode that represents computation of MIN/MAX aggregates
3295 : *
3296 : * 'rel' is the parent relation associated with the result
3297 : * 'target' is the PathTarget to be computed
3298 : * 'mmaggregates' is a list of MinMaxAggInfo structs
3299 : * 'quals' is the HAVING quals if any
3300 : */
3301 : MinMaxAggPath *
3302 327 : create_minmaxagg_path(PlannerInfo *root,
3303 : RelOptInfo *rel,
3304 : PathTarget *target,
3305 : List *mmaggregates,
3306 : List *quals)
3307 : {
3308 327 : MinMaxAggPath *pathnode = makeNode(MinMaxAggPath);
3309 : Cost initplan_cost;
3310 327 : int initplan_disabled_nodes = 0;
3311 : ListCell *lc;
3312 :
3313 : /* The topmost generated Plan node will be a Result */
3314 327 : pathnode->path.pathtype = T_Result;
3315 327 : pathnode->path.parent = rel;
3316 327 : pathnode->path.pathtarget = target;
3317 : /* For now, assume we are above any joins, so no parameterization */
3318 327 : pathnode->path.param_info = NULL;
3319 327 : pathnode->path.parallel_aware = false;
3320 327 : pathnode->path.parallel_safe = true; /* might change below */
3321 327 : pathnode->path.parallel_workers = 0;
3322 : /* Result is one unordered row */
3323 327 : pathnode->path.rows = 1;
3324 327 : pathnode->path.pathkeys = NIL;
3325 :
3326 327 : pathnode->mmaggregates = mmaggregates;
3327 327 : pathnode->quals = quals;
3328 :
3329 : /* Calculate cost of all the initplans, and check parallel safety */
3330 327 : initplan_cost = 0;
3331 684 : foreach(lc, mmaggregates)
3332 : {
3333 357 : MinMaxAggInfo *mminfo = (MinMaxAggInfo *) lfirst(lc);
3334 :
3335 357 : initplan_disabled_nodes += mminfo->path->disabled_nodes;
3336 357 : initplan_cost += mminfo->pathcost;
3337 357 : if (!mminfo->path->parallel_safe)
3338 75 : pathnode->path.parallel_safe = false;
3339 : }
3340 :
3341 : /* add tlist eval cost for each output row, plus cpu_tuple_cost */
3342 327 : pathnode->path.disabled_nodes = initplan_disabled_nodes;
3343 327 : pathnode->path.startup_cost = initplan_cost + target->cost.startup;
3344 327 : pathnode->path.total_cost = initplan_cost + target->cost.startup +
3345 327 : target->cost.per_tuple + cpu_tuple_cost;
3346 :
3347 : /*
3348 : * Add cost of qual, if any --- but we ignore its selectivity, since our
3349 : * rowcount estimate should be 1 no matter what the qual is.
3350 : */
3351 327 : if (quals)
3352 : {
3353 : QualCost qual_cost;
3354 :
3355 0 : cost_qual_eval(&qual_cost, quals, root);
3356 0 : pathnode->path.startup_cost += qual_cost.startup;
3357 0 : pathnode->path.total_cost += qual_cost.startup + qual_cost.per_tuple;
3358 : }
3359 :
3360 : /*
3361 : * If the initplans were all parallel-safe, also check safety of the
3362 : * target and quals. (The Result node itself isn't parallelizable, but if
3363 : * we are in a subquery then it can be useful for the outer query to know
3364 : * that this one is parallel-safe.)
3365 : */
3366 327 : if (pathnode->path.parallel_safe)
3367 252 : pathnode->path.parallel_safe =
3368 504 : is_parallel_safe(root, (Node *) target->exprs) &&
3369 504 : is_parallel_safe(root, (Node *) quals);
3370 :
3371 327 : return pathnode;
3372 : }
3373 :
3374 : /*
3375 : * create_windowagg_path
3376 : * Creates a pathnode that represents computation of window functions
3377 : *
3378 : * 'rel' is the parent relation associated with the result
3379 : * 'subpath' is the path representing the source of data
3380 : * 'target' is the PathTarget to be computed
3381 : * 'windowFuncs' is a list of WindowFunc structs
3382 : * 'runCondition' is a list of OpExprs to short-circuit WindowAgg execution
3383 : * 'winclause' is a WindowClause that is common to all the WindowFuncs
3384 : * 'qual' WindowClause.runconditions from lower-level WindowAggPaths.
3385 : * Must always be NIL when topwindow == false
3386 : * 'topwindow' pass as true only for the top-level WindowAgg. False for all
3387 : * intermediate WindowAggs.
3388 : *
3389 : * The input must be sorted according to the WindowClause's PARTITION keys
3390 : * plus ORDER BY keys.
3391 : */
3392 : WindowAggPath *
3393 2514 : create_windowagg_path(PlannerInfo *root,
3394 : RelOptInfo *rel,
3395 : Path *subpath,
3396 : PathTarget *target,
3397 : List *windowFuncs,
3398 : List *runCondition,
3399 : WindowClause *winclause,
3400 : List *qual,
3401 : bool topwindow)
3402 : {
3403 2514 : WindowAggPath *pathnode = makeNode(WindowAggPath);
3404 :
3405 : /* qual can only be set for the topwindow */
3406 : Assert(qual == NIL || topwindow);
3407 :
3408 2514 : pathnode->path.pathtype = T_WindowAgg;
3409 2514 : pathnode->path.parent = rel;
3410 2514 : pathnode->path.pathtarget = target;
3411 : /* For now, assume we are above any joins, so no parameterization */
3412 2514 : pathnode->path.param_info = NULL;
3413 2514 : pathnode->path.parallel_aware = false;
3414 2514 : pathnode->path.parallel_safe = rel->consider_parallel &&
3415 0 : subpath->parallel_safe;
3416 2514 : pathnode->path.parallel_workers = subpath->parallel_workers;
3417 : /* WindowAgg preserves the input sort order */
3418 2514 : pathnode->path.pathkeys = subpath->pathkeys;
3419 :
3420 2514 : pathnode->subpath = subpath;
3421 2514 : pathnode->winclause = winclause;
3422 2514 : pathnode->qual = qual;
3423 2514 : pathnode->runCondition = runCondition;
3424 2514 : pathnode->topwindow = topwindow;
3425 :
3426 : /*
3427 : * For costing purposes, assume that there are no redundant partitioning
3428 : * or ordering columns; it's not worth the trouble to deal with that
3429 : * corner case here. So we just pass the unmodified list lengths to
3430 : * cost_windowagg.
3431 : */
3432 2514 : cost_windowagg(&pathnode->path, root,
3433 : windowFuncs,
3434 : winclause,
3435 : subpath->disabled_nodes,
3436 : subpath->startup_cost,
3437 : subpath->total_cost,
3438 : subpath->rows);
3439 :
3440 : /* add tlist eval cost for each output row */
3441 2514 : pathnode->path.startup_cost += target->cost.startup;
3442 2514 : pathnode->path.total_cost += target->cost.startup +
3443 2514 : target->cost.per_tuple * pathnode->path.rows;
3444 :
3445 2514 : return pathnode;
3446 : }
3447 :
3448 : /*
3449 : * create_setop_path
3450 : * Creates a pathnode that represents computation of INTERSECT or EXCEPT
3451 : *
3452 : * 'rel' is the parent relation associated with the result
3453 : * 'leftpath' is the path representing the left-hand source of data
3454 : * 'rightpath' is the path representing the right-hand source of data
3455 : * 'cmd' is the specific semantics (INTERSECT or EXCEPT, with/without ALL)
3456 : * 'strategy' is the implementation strategy (sorted or hashed)
3457 : * 'groupList' is a list of SortGroupClause's representing the grouping
3458 : * 'numGroups' is the estimated number of distinct groups in left-hand input
3459 : * 'outputRows' is the estimated number of output rows
3460 : *
3461 : * leftpath and rightpath must produce the same columns. Moreover, if
3462 : * strategy is SETOP_SORTED, leftpath and rightpath must both be sorted
3463 : * by all the grouping columns.
3464 : */
3465 : SetOpPath *
3466 1148 : create_setop_path(PlannerInfo *root,
3467 : RelOptInfo *rel,
3468 : Path *leftpath,
3469 : Path *rightpath,
3470 : SetOpCmd cmd,
3471 : SetOpStrategy strategy,
3472 : List *groupList,
3473 : double numGroups,
3474 : double outputRows)
3475 : {
3476 1148 : SetOpPath *pathnode = makeNode(SetOpPath);
3477 :
3478 1148 : pathnode->path.pathtype = T_SetOp;
3479 1148 : pathnode->path.parent = rel;
3480 1148 : pathnode->path.pathtarget = rel->reltarget;
3481 : /* For now, assume we are above any joins, so no parameterization */
3482 1148 : pathnode->path.param_info = NULL;
3483 1148 : pathnode->path.parallel_aware = false;
3484 2296 : pathnode->path.parallel_safe = rel->consider_parallel &&
3485 1148 : leftpath->parallel_safe && rightpath->parallel_safe;
3486 1148 : pathnode->path.parallel_workers =
3487 1148 : leftpath->parallel_workers + rightpath->parallel_workers;
3488 : /* SetOp preserves the input sort order if in sort mode */
3489 1148 : pathnode->path.pathkeys =
3490 1148 : (strategy == SETOP_SORTED) ? leftpath->pathkeys : NIL;
3491 :
3492 1148 : pathnode->leftpath = leftpath;
3493 1148 : pathnode->rightpath = rightpath;
3494 1148 : pathnode->cmd = cmd;
3495 1148 : pathnode->strategy = strategy;
3496 1148 : pathnode->groupList = groupList;
3497 1148 : pathnode->numGroups = numGroups;
3498 :
3499 : /*
3500 : * Compute cost estimates. As things stand, we end up with the same total
3501 : * cost in this node for sort and hash methods, but different startup
3502 : * costs. This could be refined perhaps, but it'll do for now.
3503 : */
3504 1148 : pathnode->path.disabled_nodes =
3505 1148 : leftpath->disabled_nodes + rightpath->disabled_nodes;
3506 1148 : if (strategy == SETOP_SORTED)
3507 : {
3508 : /*
3509 : * In sorted mode, we can emit output incrementally. Charge one
3510 : * cpu_operator_cost per comparison per input tuple. Like cost_group,
3511 : * we assume all columns get compared at most of the tuples.
3512 : */
3513 599 : pathnode->path.startup_cost =
3514 599 : leftpath->startup_cost + rightpath->startup_cost;
3515 599 : pathnode->path.total_cost =
3516 1198 : leftpath->total_cost + rightpath->total_cost +
3517 599 : cpu_operator_cost * (leftpath->rows + rightpath->rows) * list_length(groupList);
3518 :
3519 : /*
3520 : * Also charge a small amount per extracted tuple. Like cost_sort,
3521 : * charge only operator cost not cpu_tuple_cost, since SetOp does no
3522 : * qual-checking or projection.
3523 : */
3524 599 : pathnode->path.total_cost += cpu_operator_cost * outputRows;
3525 : }
3526 : else
3527 : {
3528 : Size hashtablesize;
3529 :
3530 : /*
3531 : * In hashed mode, we must read all the input before we can emit
3532 : * anything. Also charge comparison costs to represent the cost of
3533 : * hash table lookups.
3534 : */
3535 549 : pathnode->path.startup_cost =
3536 1098 : leftpath->total_cost + rightpath->total_cost +
3537 549 : cpu_operator_cost * (leftpath->rows + rightpath->rows) * list_length(groupList);
3538 549 : pathnode->path.total_cost = pathnode->path.startup_cost;
3539 :
3540 : /*
3541 : * Also charge a small amount per extracted tuple. Like cost_sort,
3542 : * charge only operator cost not cpu_tuple_cost, since SetOp does no
3543 : * qual-checking or projection.
3544 : */
3545 549 : pathnode->path.total_cost += cpu_operator_cost * outputRows;
3546 :
3547 : /*
3548 : * Mark the path as disabled if enable_hashagg is off. While this
3549 : * isn't exactly a HashAgg node, it seems close enough to justify
3550 : * letting that switch control it.
3551 : */
3552 549 : if (!enable_hashagg)
3553 95 : pathnode->path.disabled_nodes++;
3554 :
3555 : /*
3556 : * Also disable if it doesn't look like the hashtable will fit into
3557 : * hash_mem. (Note: reject on equality, to ensure that an estimate of
3558 : * SIZE_MAX disables hashing regardless of the hash_mem limit.)
3559 : */
3560 549 : hashtablesize = EstimateSetOpHashTableSpace(numGroups,
3561 549 : leftpath->pathtarget->width);
3562 549 : if (hashtablesize >= get_hash_memory_limit())
3563 0 : pathnode->path.disabled_nodes++;
3564 : }
3565 1148 : pathnode->path.rows = outputRows;
3566 :
3567 1148 : return pathnode;
3568 : }
3569 :
3570 : /*
3571 : * create_recursiveunion_path
3572 : * Creates a pathnode that represents a recursive UNION node
3573 : *
3574 : * 'rel' is the parent relation associated with the result
3575 : * 'leftpath' is the source of data for the non-recursive term
3576 : * 'rightpath' is the source of data for the recursive term
3577 : * 'target' is the PathTarget to be computed
3578 : * 'distinctList' is a list of SortGroupClause's representing the grouping
3579 : * 'wtParam' is the ID of Param representing work table
3580 : * 'numGroups' is the estimated number of groups
3581 : *
3582 : * For recursive UNION ALL, distinctList is empty and numGroups is zero
3583 : */
3584 : RecursiveUnionPath *
3585 688 : create_recursiveunion_path(PlannerInfo *root,
3586 : RelOptInfo *rel,
3587 : Path *leftpath,
3588 : Path *rightpath,
3589 : PathTarget *target,
3590 : List *distinctList,
3591 : int wtParam,
3592 : double numGroups)
3593 : {
3594 688 : RecursiveUnionPath *pathnode = makeNode(RecursiveUnionPath);
3595 :
3596 688 : pathnode->path.pathtype = T_RecursiveUnion;
3597 688 : pathnode->path.parent = rel;
3598 688 : pathnode->path.pathtarget = target;
3599 : /* For now, assume we are above any joins, so no parameterization */
3600 688 : pathnode->path.param_info = NULL;
3601 688 : pathnode->path.parallel_aware = false;
3602 1376 : pathnode->path.parallel_safe = rel->consider_parallel &&
3603 688 : leftpath->parallel_safe && rightpath->parallel_safe;
3604 : /* Foolish, but we'll do it like joins for now: */
3605 688 : pathnode->path.parallel_workers = leftpath->parallel_workers;
3606 : /* RecursiveUnion result is always unsorted */
3607 688 : pathnode->path.pathkeys = NIL;
3608 :
3609 688 : pathnode->leftpath = leftpath;
3610 688 : pathnode->rightpath = rightpath;
3611 688 : pathnode->distinctList = distinctList;
3612 688 : pathnode->wtParam = wtParam;
3613 688 : pathnode->numGroups = numGroups;
3614 :
3615 688 : cost_recursive_union(&pathnode->path, leftpath, rightpath);
3616 :
3617 688 : return pathnode;
3618 : }
3619 :
3620 : /*
3621 : * create_lockrows_path
3622 : * Creates a pathnode that represents acquiring row locks
3623 : *
3624 : * 'rel' is the parent relation associated with the result
3625 : * 'subpath' is the path representing the source of data
3626 : * 'rowMarks' is a list of PlanRowMark's
3627 : * 'epqParam' is the ID of Param for EvalPlanQual re-eval
3628 : */
3629 : LockRowsPath *
3630 6820 : create_lockrows_path(PlannerInfo *root, RelOptInfo *rel,
3631 : Path *subpath, List *rowMarks, int epqParam)
3632 : {
3633 6820 : LockRowsPath *pathnode = makeNode(LockRowsPath);
3634 :
3635 6820 : pathnode->path.pathtype = T_LockRows;
3636 6820 : pathnode->path.parent = rel;
3637 : /* LockRows doesn't project, so use source path's pathtarget */
3638 6820 : pathnode->path.pathtarget = subpath->pathtarget;
3639 : /* For now, assume we are above any joins, so no parameterization */
3640 6820 : pathnode->path.param_info = NULL;
3641 6820 : pathnode->path.parallel_aware = false;
3642 6820 : pathnode->path.parallel_safe = false;
3643 6820 : pathnode->path.parallel_workers = 0;
3644 6820 : pathnode->path.rows = subpath->rows;
3645 :
3646 : /*
3647 : * The result cannot be assumed sorted, since locking might cause the sort
3648 : * key columns to be replaced with new values.
3649 : */
3650 6820 : pathnode->path.pathkeys = NIL;
3651 :
3652 6820 : pathnode->subpath = subpath;
3653 6820 : pathnode->rowMarks = rowMarks;
3654 6820 : pathnode->epqParam = epqParam;
3655 :
3656 : /*
3657 : * We should charge something extra for the costs of row locking and
3658 : * possible refetches, but it's hard to say how much. For now, use
3659 : * cpu_tuple_cost per row.
3660 : */
3661 6820 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
3662 6820 : pathnode->path.startup_cost = subpath->startup_cost;
3663 6820 : pathnode->path.total_cost = subpath->total_cost +
3664 6820 : cpu_tuple_cost * subpath->rows;
3665 :
3666 6820 : return pathnode;
3667 : }
3668 :
3669 : /*
3670 : * create_modifytable_path
3671 : * Creates a pathnode that represents performing INSERT/UPDATE/DELETE/MERGE
3672 : * mods
3673 : *
3674 : * 'rel' is the parent relation associated with the result
3675 : * 'subpath' is a Path producing source data
3676 : * 'operation' is the operation type
3677 : * 'canSetTag' is true if we set the command tag/es_processed
3678 : * 'nominalRelation' is the parent RT index for use of EXPLAIN
3679 : * 'rootRelation' is the partitioned/inherited table root RTI, or 0 if none
3680 : * 'resultRelations' is an integer list of actual RT indexes of target rel(s)
3681 : * 'updateColnosLists' is a list of UPDATE target column number lists
3682 : * (one sublist per rel); or NIL if not an UPDATE
3683 : * 'withCheckOptionLists' is a list of WCO lists (one per rel)
3684 : * 'returningLists' is a list of RETURNING tlists (one per rel)
3685 : * 'rowMarks' is a list of PlanRowMarks (non-locking only)
3686 : * 'onconflict' is the ON CONFLICT clause, or NULL
3687 : * 'epqParam' is the ID of Param for EvalPlanQual re-eval
3688 : * 'mergeActionLists' is a list of lists of MERGE actions (one per rel)
3689 : * 'mergeJoinConditions' is a list of join conditions for MERGE (one per rel)
3690 : */
3691 : ModifyTablePath *
3692 64036 : create_modifytable_path(PlannerInfo *root, RelOptInfo *rel,
3693 : Path *subpath,
3694 : CmdType operation, bool canSetTag,
3695 : Index nominalRelation, Index rootRelation,
3696 : List *resultRelations,
3697 : List *updateColnosLists,
3698 : List *withCheckOptionLists, List *returningLists,
3699 : List *rowMarks, OnConflictExpr *onconflict,
3700 : List *mergeActionLists, List *mergeJoinConditions,
3701 : ForPortionOfExpr *forPortionOf, int epqParam)
3702 : {
3703 64036 : ModifyTablePath *pathnode = makeNode(ModifyTablePath);
3704 :
3705 : Assert(operation == CMD_MERGE ||
3706 : (operation == CMD_UPDATE ?
3707 : list_length(resultRelations) == list_length(updateColnosLists) :
3708 : updateColnosLists == NIL));
3709 : Assert(withCheckOptionLists == NIL ||
3710 : list_length(resultRelations) == list_length(withCheckOptionLists));
3711 : Assert(returningLists == NIL ||
3712 : list_length(resultRelations) == list_length(returningLists));
3713 :
3714 64036 : pathnode->path.pathtype = T_ModifyTable;
3715 64036 : pathnode->path.parent = rel;
3716 : /* pathtarget is not interesting, just make it minimally valid */
3717 64036 : pathnode->path.pathtarget = rel->reltarget;
3718 : /* For now, assume we are above any joins, so no parameterization */
3719 64036 : pathnode->path.param_info = NULL;
3720 64036 : pathnode->path.parallel_aware = false;
3721 64036 : pathnode->path.parallel_safe = false;
3722 64036 : pathnode->path.parallel_workers = 0;
3723 64036 : pathnode->path.pathkeys = NIL;
3724 :
3725 : /*
3726 : * Compute cost & rowcount as subpath cost & rowcount (if RETURNING)
3727 : *
3728 : * Currently, we don't charge anything extra for the actual table
3729 : * modification work, nor for the WITH CHECK OPTIONS or RETURNING
3730 : * expressions if any. It would only be window dressing, since
3731 : * ModifyTable is always a top-level node and there is no way for the
3732 : * costs to change any higher-level planning choices. But we might want
3733 : * to make it look better sometime.
3734 : */
3735 64036 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
3736 64036 : pathnode->path.startup_cost = subpath->startup_cost;
3737 64036 : pathnode->path.total_cost = subpath->total_cost;
3738 64036 : if (returningLists != NIL)
3739 : {
3740 2520 : pathnode->path.rows = subpath->rows;
3741 :
3742 : /*
3743 : * Set width to match the subpath output. XXX this is totally wrong:
3744 : * we should return an average of the RETURNING tlist widths. But
3745 : * it's what happened historically, and improving it is a task for
3746 : * another day. (Again, it's mostly window dressing.)
3747 : */
3748 2520 : pathnode->path.pathtarget->width = subpath->pathtarget->width;
3749 : }
3750 : else
3751 : {
3752 61516 : pathnode->path.rows = 0;
3753 61516 : pathnode->path.pathtarget->width = 0;
3754 : }
3755 :
3756 64036 : pathnode->subpath = subpath;
3757 64036 : pathnode->operation = operation;
3758 64036 : pathnode->canSetTag = canSetTag;
3759 64036 : pathnode->nominalRelation = nominalRelation;
3760 64036 : pathnode->rootRelation = rootRelation;
3761 64036 : pathnode->resultRelations = resultRelations;
3762 64036 : pathnode->updateColnosLists = updateColnosLists;
3763 64036 : pathnode->withCheckOptionLists = withCheckOptionLists;
3764 64036 : pathnode->returningLists = returningLists;
3765 64036 : pathnode->rowMarks = rowMarks;
3766 64036 : pathnode->onconflict = onconflict;
3767 64036 : pathnode->forPortionOf = forPortionOf;
3768 64036 : pathnode->epqParam = epqParam;
3769 64036 : pathnode->mergeActionLists = mergeActionLists;
3770 64036 : pathnode->mergeJoinConditions = mergeJoinConditions;
3771 :
3772 64036 : return pathnode;
3773 : }
3774 :
3775 : /*
3776 : * create_limit_path
3777 : * Creates a pathnode that represents performing LIMIT/OFFSET
3778 : *
3779 : * In addition to providing the actual OFFSET and LIMIT expressions,
3780 : * the caller must provide estimates of their values for costing purposes.
3781 : * The estimates are as computed by preprocess_limit(), ie, 0 represents
3782 : * the clause not being present, and -1 means it's present but we could
3783 : * not estimate its value.
3784 : *
3785 : * 'rel' is the parent relation associated with the result
3786 : * 'subpath' is the path representing the source of data
3787 : * 'limitOffset' is the actual OFFSET expression, or NULL
3788 : * 'limitCount' is the actual LIMIT expression, or NULL
3789 : * 'offset_est' is the estimated value of the OFFSET expression
3790 : * 'count_est' is the estimated value of the LIMIT expression
3791 : */
3792 : LimitPath *
3793 4291 : create_limit_path(PlannerInfo *root, RelOptInfo *rel,
3794 : Path *subpath,
3795 : Node *limitOffset, Node *limitCount,
3796 : LimitOption limitOption,
3797 : int64 offset_est, int64 count_est)
3798 : {
3799 4291 : LimitPath *pathnode = makeNode(LimitPath);
3800 :
3801 4291 : pathnode->path.pathtype = T_Limit;
3802 4291 : pathnode->path.parent = rel;
3803 : /* Limit doesn't project, so use source path's pathtarget */
3804 4291 : pathnode->path.pathtarget = subpath->pathtarget;
3805 : /* For now, assume we are above any joins, so no parameterization */
3806 4291 : pathnode->path.param_info = NULL;
3807 4291 : pathnode->path.parallel_aware = false;
3808 5987 : pathnode->path.parallel_safe = rel->consider_parallel &&
3809 1696 : subpath->parallel_safe;
3810 4291 : pathnode->path.parallel_workers = subpath->parallel_workers;
3811 4291 : pathnode->path.rows = subpath->rows;
3812 4291 : pathnode->path.disabled_nodes = subpath->disabled_nodes;
3813 4291 : pathnode->path.startup_cost = subpath->startup_cost;
3814 4291 : pathnode->path.total_cost = subpath->total_cost;
3815 4291 : pathnode->path.pathkeys = subpath->pathkeys;
3816 4291 : pathnode->subpath = subpath;
3817 4291 : pathnode->limitOffset = limitOffset;
3818 4291 : pathnode->limitCount = limitCount;
3819 4291 : pathnode->limitOption = limitOption;
3820 :
3821 : /*
3822 : * Adjust the output rows count and costs according to the offset/limit.
3823 : */
3824 4291 : adjust_limit_rows_costs(&pathnode->path.rows,
3825 : &pathnode->path.startup_cost,
3826 : &pathnode->path.total_cost,
3827 : offset_est, count_est);
3828 :
3829 4291 : return pathnode;
3830 : }
3831 :
3832 : /*
3833 : * adjust_limit_rows_costs
3834 : * Adjust the size and cost estimates for a LimitPath node according to the
3835 : * offset/limit.
3836 : *
3837 : * This is only a cosmetic issue if we are at top level, but if we are
3838 : * building a subquery then it's important to report correct info to the outer
3839 : * planner.
3840 : *
3841 : * When the offset or count couldn't be estimated, use 10% of the estimated
3842 : * number of rows emitted from the subpath.
3843 : *
3844 : * XXX we don't bother to add eval costs of the offset/limit expressions
3845 : * themselves to the path costs. In theory we should, but in most cases those
3846 : * expressions are trivial and it's just not worth the trouble.
3847 : */
3848 : void
3849 4383 : adjust_limit_rows_costs(double *rows, /* in/out parameter */
3850 : Cost *startup_cost, /* in/out parameter */
3851 : Cost *total_cost, /* in/out parameter */
3852 : int64 offset_est,
3853 : int64 count_est)
3854 : {
3855 4383 : double input_rows = *rows;
3856 4383 : Cost input_startup_cost = *startup_cost;
3857 4383 : Cost input_total_cost = *total_cost;
3858 :
3859 4383 : if (offset_est != 0)
3860 : {
3861 : double offset_rows;
3862 :
3863 403 : if (offset_est > 0)
3864 383 : offset_rows = (double) offset_est;
3865 : else
3866 20 : offset_rows = clamp_row_est(input_rows * 0.10);
3867 403 : if (offset_rows > *rows)
3868 21 : offset_rows = *rows;
3869 403 : if (input_rows > 0)
3870 403 : *startup_cost +=
3871 403 : (input_total_cost - input_startup_cost)
3872 403 : * offset_rows / input_rows;
3873 403 : *rows -= offset_rows;
3874 403 : if (*rows < 1)
3875 25 : *rows = 1;
3876 : }
3877 :
3878 4383 : if (count_est != 0)
3879 : {
3880 : double count_rows;
3881 :
3882 4327 : if (count_est > 0)
3883 4322 : count_rows = (double) count_est;
3884 : else
3885 5 : count_rows = clamp_row_est(input_rows * 0.10);
3886 4327 : if (count_rows > *rows)
3887 127 : count_rows = *rows;
3888 4327 : if (input_rows > 0)
3889 4327 : *total_cost = *startup_cost +
3890 4327 : (input_total_cost - input_startup_cost)
3891 4327 : * count_rows / input_rows;
3892 4327 : *rows = count_rows;
3893 4327 : if (*rows < 1)
3894 0 : *rows = 1;
3895 : }
3896 4383 : }
3897 :
3898 :
3899 : /*
3900 : * reparameterize_path
3901 : * Attempt to modify a Path to have greater parameterization
3902 : *
3903 : * We use this to attempt to bring all child paths of an appendrel to the
3904 : * same parameterization level, ensuring that they all enforce the same set
3905 : * of join quals (and thus that that parameterization can be attributed to
3906 : * an append path built from such paths). Currently, only a few path types
3907 : * are supported here, though more could be added at need. We return NULL
3908 : * if we can't reparameterize the given path.
3909 : *
3910 : * Note: we intentionally do not pass created paths to add_path(); it would
3911 : * possibly try to delete them on the grounds of being cost-inferior to the
3912 : * paths they were made from, and we don't want that. Paths made here are
3913 : * not necessarily of general-purpose usefulness, but they can be useful
3914 : * as members of an append path.
3915 : */
3916 : Path *
3917 858 : reparameterize_path(PlannerInfo *root, Path *path,
3918 : Relids required_outer,
3919 : double loop_count)
3920 : {
3921 858 : RelOptInfo *rel = path->parent;
3922 :
3923 : /* Can only increase, not decrease, path's parameterization */
3924 858 : if (!bms_is_subset(PATH_REQ_OUTER(path), required_outer))
3925 0 : return NULL;
3926 858 : switch (path->pathtype)
3927 : {
3928 730 : case T_SeqScan:
3929 730 : return create_seqscan_path(root, rel, required_outer, 0);
3930 0 : case T_SampleScan:
3931 0 : return create_samplescan_path(root, rel, required_outer);
3932 0 : case T_IndexScan:
3933 : case T_IndexOnlyScan:
3934 : {
3935 0 : IndexPath *ipath = (IndexPath *) path;
3936 0 : IndexPath *newpath = makeNode(IndexPath);
3937 :
3938 : /*
3939 : * We can't use create_index_path directly, and would not want
3940 : * to because it would re-compute the indexqual conditions
3941 : * which is wasted effort. Instead we hack things a bit:
3942 : * flat-copy the path node, revise its param_info, and redo
3943 : * the cost estimate.
3944 : */
3945 0 : memcpy(newpath, ipath, sizeof(IndexPath));
3946 0 : newpath->path.param_info =
3947 0 : get_baserel_parampathinfo(root, rel, required_outer);
3948 0 : cost_index(newpath, root, loop_count, false);
3949 0 : return (Path *) newpath;
3950 : }
3951 0 : case T_BitmapHeapScan:
3952 : {
3953 0 : BitmapHeapPath *bpath = (BitmapHeapPath *) path;
3954 :
3955 0 : return (Path *) create_bitmap_heap_path(root,
3956 : rel,
3957 : bpath->bitmapqual,
3958 : required_outer,
3959 : loop_count, 0);
3960 : }
3961 0 : case T_SubqueryScan:
3962 : {
3963 0 : SubqueryScanPath *spath = (SubqueryScanPath *) path;
3964 0 : Path *subpath = spath->subpath;
3965 : bool trivial_pathtarget;
3966 :
3967 : /*
3968 : * If existing node has zero extra cost, we must have decided
3969 : * its target is trivial. (The converse is not true, because
3970 : * it might have a trivial target but quals to enforce; but in
3971 : * that case the new node will too, so it doesn't matter
3972 : * whether we get the right answer here.)
3973 : */
3974 0 : trivial_pathtarget =
3975 0 : (subpath->total_cost == spath->path.total_cost);
3976 :
3977 0 : return (Path *) create_subqueryscan_path(root,
3978 : rel,
3979 : subpath,
3980 : trivial_pathtarget,
3981 : spath->path.pathkeys,
3982 : required_outer);
3983 : }
3984 65 : case T_Result:
3985 : /* Supported only for RTE_RESULT scan paths */
3986 65 : if (IsA(path, Path))
3987 65 : return create_resultscan_path(root, rel, required_outer);
3988 0 : break;
3989 5 : case T_Append:
3990 : {
3991 5 : AppendPath *apath = (AppendPath *) path;
3992 5 : AppendPathInput new_append = {0};
3993 : int i;
3994 : ListCell *lc;
3995 :
3996 5 : new_append.child_append_relid_sets = apath->child_append_relid_sets;
3997 :
3998 : /* Reparameterize the children */
3999 5 : i = 0;
4000 10 : foreach(lc, apath->subpaths)
4001 : {
4002 5 : Path *spath = (Path *) lfirst(lc);
4003 :
4004 5 : spath = reparameterize_path(root, spath,
4005 : required_outer,
4006 : loop_count);
4007 5 : if (spath == NULL)
4008 0 : return NULL;
4009 : /* We have to re-split the regular and partial paths */
4010 5 : if (i < apath->first_partial_path)
4011 5 : new_append.subpaths = lappend(new_append.subpaths, spath);
4012 : else
4013 0 : new_append.partial_subpaths = lappend(new_append.partial_subpaths, spath);
4014 5 : i++;
4015 : }
4016 5 : return (Path *)
4017 5 : create_append_path(root, rel, new_append,
4018 : apath->path.pathkeys, required_outer,
4019 : apath->path.parallel_workers,
4020 5 : apath->path.parallel_aware,
4021 : -1);
4022 : }
4023 0 : case T_Material:
4024 : {
4025 0 : MaterialPath *mpath = (MaterialPath *) path;
4026 0 : Path *spath = mpath->subpath;
4027 : bool enabled;
4028 :
4029 0 : spath = reparameterize_path(root, spath,
4030 : required_outer,
4031 : loop_count);
4032 0 : if (spath == NULL)
4033 0 : return NULL;
4034 0 : enabled =
4035 0 : (mpath->path.disabled_nodes <= spath->disabled_nodes);
4036 0 : return (Path *) create_material_path(rel, spath, enabled);
4037 : }
4038 0 : case T_Memoize:
4039 : {
4040 0 : MemoizePath *mpath = (MemoizePath *) path;
4041 0 : Path *spath = mpath->subpath;
4042 :
4043 0 : spath = reparameterize_path(root, spath,
4044 : required_outer,
4045 : loop_count);
4046 0 : if (spath == NULL)
4047 0 : return NULL;
4048 0 : return (Path *) create_memoize_path(root, rel,
4049 : spath,
4050 : mpath->param_exprs,
4051 : mpath->hash_operators,
4052 0 : mpath->singlerow,
4053 0 : mpath->binary_mode,
4054 : mpath->est_calls);
4055 : }
4056 58 : default:
4057 58 : break;
4058 : }
4059 58 : return NULL;
4060 : }
4061 :
4062 : /*
4063 : * reparameterize_path_by_child
4064 : * Given a path parameterized by the parent of the given child relation,
4065 : * translate the path to be parameterized by the given child relation.
4066 : *
4067 : * Most fields in the path are not changed, but any expressions must be
4068 : * adjusted to refer to the correct varnos, and any subpaths must be
4069 : * recursively reparameterized. Other fields that refer to specific relids
4070 : * also need adjustment.
4071 : *
4072 : * The cost, number of rows, width and parallel path properties depend upon
4073 : * path->parent, which does not change during the translation. So we need
4074 : * not change those.
4075 : *
4076 : * Currently, only a few path types are supported here, though more could be
4077 : * added at need. We return NULL if we can't reparameterize the given path.
4078 : *
4079 : * Note that this function can change referenced RangeTblEntries, RelOptInfos
4080 : * and IndexOptInfos as well as the Path structures. Therefore, it's only safe
4081 : * to call during create_plan(), when we have made a final choice of which Path
4082 : * to use for each RangeTblEntry/RelOptInfo/IndexOptInfo.
4083 : *
4084 : * Keep this code in sync with path_is_reparameterizable_by_child()!
4085 : */
4086 : Path *
4087 76676 : reparameterize_path_by_child(PlannerInfo *root, Path *path,
4088 : RelOptInfo *child_rel)
4089 : {
4090 : Path *new_path;
4091 : ParamPathInfo *new_ppi;
4092 : ParamPathInfo *old_ppi;
4093 : Relids required_outer;
4094 :
4095 : #define ADJUST_CHILD_ATTRS(node) \
4096 : ((node) = (void *) adjust_appendrel_attrs_multilevel(root, \
4097 : (Node *) (node), \
4098 : child_rel, \
4099 : child_rel->top_parent))
4100 :
4101 : #define REPARAMETERIZE_CHILD_PATH(path) \
4102 : do { \
4103 : (path) = reparameterize_path_by_child(root, (path), child_rel); \
4104 : if ((path) == NULL) \
4105 : return NULL; \
4106 : } while(0)
4107 :
4108 : #define REPARAMETERIZE_CHILD_PATH_LIST(pathlist) \
4109 : do { \
4110 : if ((pathlist) != NIL) \
4111 : { \
4112 : (pathlist) = reparameterize_pathlist_by_child(root, (pathlist), \
4113 : child_rel); \
4114 : if ((pathlist) == NIL) \
4115 : return NULL; \
4116 : } \
4117 : } while(0)
4118 :
4119 : /*
4120 : * If the path is not parameterized by the parent of the given relation,
4121 : * it doesn't need reparameterization.
4122 : */
4123 76676 : if (!path->param_info ||
4124 37040 : !bms_overlap(PATH_REQ_OUTER(path), child_rel->top_parent_relids))
4125 75829 : return path;
4126 :
4127 : /*
4128 : * If possible, reparameterize the given path.
4129 : *
4130 : * This function is currently only applied to the inner side of a nestloop
4131 : * join that is being partitioned by the partitionwise-join code. Hence,
4132 : * we need only support path types that plausibly arise in that context.
4133 : * (In particular, supporting sorted path types would be a waste of code
4134 : * and cycles: even if we translated them here, they'd just lose in
4135 : * subsequent cost comparisons.) If we do see an unsupported path type,
4136 : * that just means we won't be able to generate a partitionwise-join plan
4137 : * using that path type.
4138 : */
4139 847 : switch (nodeTag(path))
4140 : {
4141 190 : case T_Path:
4142 190 : new_path = path;
4143 190 : ADJUST_CHILD_ATTRS(new_path->parent->baserestrictinfo);
4144 190 : if (path->pathtype == T_SampleScan)
4145 : {
4146 40 : Index scan_relid = path->parent->relid;
4147 : RangeTblEntry *rte;
4148 :
4149 : /* it should be a base rel with a tablesample clause... */
4150 : Assert(scan_relid > 0);
4151 40 : rte = planner_rt_fetch(scan_relid, root);
4152 : Assert(rte->rtekind == RTE_RELATION);
4153 : Assert(rte->tablesample != NULL);
4154 :
4155 40 : ADJUST_CHILD_ATTRS(rte->tablesample);
4156 : }
4157 190 : break;
4158 :
4159 447 : case T_IndexPath:
4160 : {
4161 447 : IndexPath *ipath = (IndexPath *) path;
4162 :
4163 447 : ADJUST_CHILD_ATTRS(ipath->indexinfo->indrestrictinfo);
4164 447 : ADJUST_CHILD_ATTRS(ipath->indexclauses);
4165 447 : new_path = (Path *) ipath;
4166 : }
4167 447 : break;
4168 :
4169 40 : case T_BitmapHeapPath:
4170 : {
4171 40 : BitmapHeapPath *bhpath = (BitmapHeapPath *) path;
4172 :
4173 40 : ADJUST_CHILD_ATTRS(bhpath->path.parent->baserestrictinfo);
4174 40 : REPARAMETERIZE_CHILD_PATH(bhpath->bitmapqual);
4175 40 : new_path = (Path *) bhpath;
4176 : }
4177 40 : break;
4178 :
4179 20 : case T_BitmapAndPath:
4180 : {
4181 20 : BitmapAndPath *bapath = (BitmapAndPath *) path;
4182 :
4183 20 : REPARAMETERIZE_CHILD_PATH_LIST(bapath->bitmapquals);
4184 20 : new_path = (Path *) bapath;
4185 : }
4186 20 : break;
4187 :
4188 20 : case T_BitmapOrPath:
4189 : {
4190 20 : BitmapOrPath *bopath = (BitmapOrPath *) path;
4191 :
4192 20 : REPARAMETERIZE_CHILD_PATH_LIST(bopath->bitmapquals);
4193 20 : new_path = (Path *) bopath;
4194 : }
4195 20 : break;
4196 :
4197 0 : case T_ForeignPath:
4198 : {
4199 0 : ForeignPath *fpath = (ForeignPath *) path;
4200 : ReparameterizeForeignPathByChild_function rfpc_func;
4201 :
4202 0 : ADJUST_CHILD_ATTRS(fpath->path.parent->baserestrictinfo);
4203 0 : if (fpath->fdw_outerpath)
4204 0 : REPARAMETERIZE_CHILD_PATH(fpath->fdw_outerpath);
4205 0 : if (fpath->fdw_restrictinfo)
4206 0 : ADJUST_CHILD_ATTRS(fpath->fdw_restrictinfo);
4207 :
4208 : /* Hand over to FDW if needed. */
4209 0 : rfpc_func =
4210 0 : path->parent->fdwroutine->ReparameterizeForeignPathByChild;
4211 0 : if (rfpc_func)
4212 0 : fpath->fdw_private = rfpc_func(root, fpath->fdw_private,
4213 : child_rel);
4214 0 : new_path = (Path *) fpath;
4215 : }
4216 0 : break;
4217 :
4218 0 : case T_CustomPath:
4219 : {
4220 0 : CustomPath *cpath = (CustomPath *) path;
4221 :
4222 0 : ADJUST_CHILD_ATTRS(cpath->path.parent->baserestrictinfo);
4223 0 : REPARAMETERIZE_CHILD_PATH_LIST(cpath->custom_paths);
4224 0 : if (cpath->custom_restrictinfo)
4225 0 : ADJUST_CHILD_ATTRS(cpath->custom_restrictinfo);
4226 0 : if (cpath->methods &&
4227 0 : cpath->methods->ReparameterizeCustomPathByChild)
4228 0 : cpath->custom_private =
4229 0 : cpath->methods->ReparameterizeCustomPathByChild(root,
4230 : cpath->custom_private,
4231 : child_rel);
4232 0 : new_path = (Path *) cpath;
4233 : }
4234 0 : break;
4235 :
4236 30 : case T_NestPath:
4237 : {
4238 30 : NestPath *npath = (NestPath *) path;
4239 30 : JoinPath *jpath = (JoinPath *) npath;
4240 :
4241 30 : REPARAMETERIZE_CHILD_PATH(jpath->outerjoinpath);
4242 30 : REPARAMETERIZE_CHILD_PATH(jpath->innerjoinpath);
4243 30 : ADJUST_CHILD_ATTRS(jpath->joinrestrictinfo);
4244 30 : new_path = (Path *) npath;
4245 : }
4246 30 : break;
4247 :
4248 0 : case T_MergePath:
4249 : {
4250 0 : MergePath *mpath = (MergePath *) path;
4251 0 : JoinPath *jpath = (JoinPath *) mpath;
4252 :
4253 0 : REPARAMETERIZE_CHILD_PATH(jpath->outerjoinpath);
4254 0 : REPARAMETERIZE_CHILD_PATH(jpath->innerjoinpath);
4255 0 : ADJUST_CHILD_ATTRS(jpath->joinrestrictinfo);
4256 0 : ADJUST_CHILD_ATTRS(mpath->path_mergeclauses);
4257 0 : new_path = (Path *) mpath;
4258 : }
4259 0 : break;
4260 :
4261 40 : case T_HashPath:
4262 : {
4263 40 : HashPath *hpath = (HashPath *) path;
4264 40 : JoinPath *jpath = (JoinPath *) hpath;
4265 :
4266 40 : REPARAMETERIZE_CHILD_PATH(jpath->outerjoinpath);
4267 40 : REPARAMETERIZE_CHILD_PATH(jpath->innerjoinpath);
4268 40 : ADJUST_CHILD_ATTRS(jpath->joinrestrictinfo);
4269 40 : ADJUST_CHILD_ATTRS(hpath->path_hashclauses);
4270 40 : new_path = (Path *) hpath;
4271 : }
4272 40 : break;
4273 :
4274 20 : case T_AppendPath:
4275 : {
4276 20 : AppendPath *apath = (AppendPath *) path;
4277 :
4278 20 : REPARAMETERIZE_CHILD_PATH_LIST(apath->subpaths);
4279 20 : new_path = (Path *) apath;
4280 : }
4281 20 : break;
4282 :
4283 0 : case T_MaterialPath:
4284 : {
4285 0 : MaterialPath *mpath = (MaterialPath *) path;
4286 :
4287 0 : REPARAMETERIZE_CHILD_PATH(mpath->subpath);
4288 0 : new_path = (Path *) mpath;
4289 : }
4290 0 : break;
4291 :
4292 40 : case T_MemoizePath:
4293 : {
4294 40 : MemoizePath *mpath = (MemoizePath *) path;
4295 :
4296 40 : REPARAMETERIZE_CHILD_PATH(mpath->subpath);
4297 40 : ADJUST_CHILD_ATTRS(mpath->param_exprs);
4298 40 : new_path = (Path *) mpath;
4299 : }
4300 40 : break;
4301 :
4302 0 : case T_GatherPath:
4303 : {
4304 0 : GatherPath *gpath = (GatherPath *) path;
4305 :
4306 0 : REPARAMETERIZE_CHILD_PATH(gpath->subpath);
4307 0 : new_path = (Path *) gpath;
4308 : }
4309 0 : break;
4310 :
4311 0 : default:
4312 : /* We don't know how to reparameterize this path. */
4313 0 : return NULL;
4314 : }
4315 :
4316 : /*
4317 : * Adjust the parameterization information, which refers to the topmost
4318 : * parent. The topmost parent can be multiple levels away from the given
4319 : * child, hence use multi-level expression adjustment routines.
4320 : */
4321 847 : old_ppi = new_path->param_info;
4322 : required_outer =
4323 847 : adjust_child_relids_multilevel(root, old_ppi->ppi_req_outer,
4324 : child_rel,
4325 847 : child_rel->top_parent);
4326 :
4327 : /* If we already have a PPI for this parameterization, just return it */
4328 847 : new_ppi = find_param_path_info(new_path->parent, required_outer);
4329 :
4330 : /*
4331 : * If not, build a new one and link it to the list of PPIs. For the same
4332 : * reason as explained in mark_dummy_rel(), allocate new PPI in the same
4333 : * context the given RelOptInfo is in.
4334 : */
4335 847 : if (new_ppi == NULL)
4336 : {
4337 : MemoryContext oldcontext;
4338 727 : RelOptInfo *rel = path->parent;
4339 :
4340 727 : oldcontext = MemoryContextSwitchTo(GetMemoryChunkContext(rel));
4341 :
4342 727 : new_ppi = makeNode(ParamPathInfo);
4343 727 : new_ppi->ppi_req_outer = bms_copy(required_outer);
4344 727 : new_ppi->ppi_rows = old_ppi->ppi_rows;
4345 727 : new_ppi->ppi_clauses = old_ppi->ppi_clauses;
4346 727 : ADJUST_CHILD_ATTRS(new_ppi->ppi_clauses);
4347 727 : new_ppi->ppi_serials = bms_copy(old_ppi->ppi_serials);
4348 727 : rel->ppilist = lappend(rel->ppilist, new_ppi);
4349 :
4350 727 : MemoryContextSwitchTo(oldcontext);
4351 : }
4352 847 : bms_free(required_outer);
4353 :
4354 847 : new_path->param_info = new_ppi;
4355 :
4356 : /*
4357 : * Adjust the path target if the parent of the outer relation is
4358 : * referenced in the targetlist. This can happen when only the parent of
4359 : * outer relation is laterally referenced in this relation.
4360 : */
4361 847 : if (bms_overlap(path->parent->lateral_relids,
4362 847 : child_rel->top_parent_relids))
4363 : {
4364 400 : new_path->pathtarget = copy_pathtarget(new_path->pathtarget);
4365 400 : ADJUST_CHILD_ATTRS(new_path->pathtarget->exprs);
4366 : }
4367 :
4368 847 : return new_path;
4369 : }
4370 :
4371 : /*
4372 : * path_is_reparameterizable_by_child
4373 : * Given a path parameterized by the parent of the given child relation,
4374 : * see if it can be translated to be parameterized by the child relation.
4375 : *
4376 : * This must return true if and only if reparameterize_path_by_child()
4377 : * would succeed on this path. Currently it's sufficient to verify that
4378 : * the path and all of its subpaths (if any) are of the types handled by
4379 : * that function. However, subpaths that are not parameterized can be
4380 : * disregarded since they won't require translation.
4381 : */
4382 : bool
4383 27929 : path_is_reparameterizable_by_child(Path *path, RelOptInfo *child_rel)
4384 : {
4385 : #define REJECT_IF_PATH_NOT_REPARAMETERIZABLE(path) \
4386 : do { \
4387 : if (!path_is_reparameterizable_by_child(path, child_rel)) \
4388 : return false; \
4389 : } while(0)
4390 :
4391 : #define REJECT_IF_PATH_LIST_NOT_REPARAMETERIZABLE(pathlist) \
4392 : do { \
4393 : if (!pathlist_is_reparameterizable_by_child(pathlist, child_rel)) \
4394 : return false; \
4395 : } while(0)
4396 :
4397 : /*
4398 : * If the path is not parameterized by the parent of the given relation,
4399 : * it doesn't need reparameterization.
4400 : */
4401 27929 : if (!path->param_info ||
4402 27553 : !bms_overlap(PATH_REQ_OUTER(path), child_rel->top_parent_relids))
4403 784 : return true;
4404 :
4405 : /*
4406 : * Check that the path type is one that reparameterize_path_by_child() can
4407 : * handle, and recursively check subpaths.
4408 : */
4409 27145 : switch (nodeTag(path))
4410 : {
4411 18911 : case T_Path:
4412 : case T_IndexPath:
4413 18911 : break;
4414 :
4415 40 : case T_BitmapHeapPath:
4416 : {
4417 40 : BitmapHeapPath *bhpath = (BitmapHeapPath *) path;
4418 :
4419 40 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(bhpath->bitmapqual);
4420 : }
4421 40 : break;
4422 :
4423 20 : case T_BitmapAndPath:
4424 : {
4425 20 : BitmapAndPath *bapath = (BitmapAndPath *) path;
4426 :
4427 20 : REJECT_IF_PATH_LIST_NOT_REPARAMETERIZABLE(bapath->bitmapquals);
4428 : }
4429 20 : break;
4430 :
4431 20 : case T_BitmapOrPath:
4432 : {
4433 20 : BitmapOrPath *bopath = (BitmapOrPath *) path;
4434 :
4435 20 : REJECT_IF_PATH_LIST_NOT_REPARAMETERIZABLE(bopath->bitmapquals);
4436 : }
4437 20 : break;
4438 :
4439 74 : case T_ForeignPath:
4440 : {
4441 74 : ForeignPath *fpath = (ForeignPath *) path;
4442 :
4443 74 : if (fpath->fdw_outerpath)
4444 0 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(fpath->fdw_outerpath);
4445 : }
4446 74 : break;
4447 :
4448 0 : case T_CustomPath:
4449 : {
4450 0 : CustomPath *cpath = (CustomPath *) path;
4451 :
4452 0 : REJECT_IF_PATH_LIST_NOT_REPARAMETERIZABLE(cpath->custom_paths);
4453 : }
4454 0 : break;
4455 :
4456 1004 : case T_NestPath:
4457 : case T_MergePath:
4458 : case T_HashPath:
4459 : {
4460 1004 : JoinPath *jpath = (JoinPath *) path;
4461 :
4462 1004 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(jpath->outerjoinpath);
4463 1004 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(jpath->innerjoinpath);
4464 : }
4465 1004 : break;
4466 :
4467 160 : case T_AppendPath:
4468 : {
4469 160 : AppendPath *apath = (AppendPath *) path;
4470 :
4471 160 : REJECT_IF_PATH_LIST_NOT_REPARAMETERIZABLE(apath->subpaths);
4472 : }
4473 160 : break;
4474 :
4475 0 : case T_MaterialPath:
4476 : {
4477 0 : MaterialPath *mpath = (MaterialPath *) path;
4478 :
4479 0 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(mpath->subpath);
4480 : }
4481 0 : break;
4482 :
4483 6916 : case T_MemoizePath:
4484 : {
4485 6916 : MemoizePath *mpath = (MemoizePath *) path;
4486 :
4487 6916 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(mpath->subpath);
4488 : }
4489 6916 : break;
4490 :
4491 0 : case T_GatherPath:
4492 : {
4493 0 : GatherPath *gpath = (GatherPath *) path;
4494 :
4495 0 : REJECT_IF_PATH_NOT_REPARAMETERIZABLE(gpath->subpath);
4496 : }
4497 0 : break;
4498 :
4499 0 : default:
4500 : /* We don't know how to reparameterize this path. */
4501 0 : return false;
4502 : }
4503 :
4504 27145 : return true;
4505 : }
4506 :
4507 : /*
4508 : * reparameterize_pathlist_by_child
4509 : * Helper function to reparameterize a list of paths by given child rel.
4510 : *
4511 : * Returns NIL to indicate failure, so pathlist had better not be NIL.
4512 : */
4513 : static List *
4514 60 : reparameterize_pathlist_by_child(PlannerInfo *root,
4515 : List *pathlist,
4516 : RelOptInfo *child_rel)
4517 : {
4518 : ListCell *lc;
4519 60 : List *result = NIL;
4520 :
4521 180 : foreach(lc, pathlist)
4522 : {
4523 120 : Path *path = reparameterize_path_by_child(root, lfirst(lc),
4524 : child_rel);
4525 :
4526 120 : if (path == NULL)
4527 : {
4528 0 : list_free(result);
4529 0 : return NIL;
4530 : }
4531 :
4532 120 : result = lappend(result, path);
4533 : }
4534 :
4535 60 : return result;
4536 : }
4537 :
4538 : /*
4539 : * pathlist_is_reparameterizable_by_child
4540 : * Helper function to check if a list of paths can be reparameterized.
4541 : */
4542 : static bool
4543 200 : pathlist_is_reparameterizable_by_child(List *pathlist, RelOptInfo *child_rel)
4544 : {
4545 : ListCell *lc;
4546 :
4547 600 : foreach(lc, pathlist)
4548 : {
4549 400 : Path *path = (Path *) lfirst(lc);
4550 :
4551 400 : if (!path_is_reparameterizable_by_child(path, child_rel))
4552 0 : return false;
4553 : }
4554 :
4555 200 : return true;
4556 : }
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