1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
|
/*-------------------------------------------------------------------------
*
* planagg.c
* Special planning for aggregate queries.
*
* This module tries to replace MIN/MAX aggregate functions by subqueries
* of the form
* (SELECT col FROM tab
* WHERE col IS NOT NULL AND existing-quals
* ORDER BY col ASC/DESC
* LIMIT 1)
* Given a suitable index on tab.col, this can be much faster than the
* generic scan-all-the-rows aggregation plan. We can handle multiple
* MIN/MAX aggregates by generating multiple subqueries, and their
* orderings can be different. However, if the query contains any
* non-optimizable aggregates, there's no point since we'll have to
* scan all the rows anyway.
*
*
* Portions Copyright (c) 1996-2021, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
*
* IDENTIFICATION
* src/backend/optimizer/plan/planagg.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "access/htup_details.h"
#include "catalog/pg_aggregate.h"
#include "catalog/pg_type.h"
#include "nodes/makefuncs.h"
#include "nodes/nodeFuncs.h"
#include "optimizer/clauses.h"
#include "optimizer/cost.h"
#include "optimizer/optimizer.h"
#include "optimizer/pathnode.h"
#include "optimizer/paths.h"
#include "optimizer/planmain.h"
#include "optimizer/subselect.h"
#include "optimizer/tlist.h"
#include "parser/parse_clause.h"
#include "parser/parsetree.h"
#include "rewrite/rewriteManip.h"
#include "utils/lsyscache.h"
#include "utils/syscache.h"
static bool can_minmax_aggs(PlannerInfo *root, List **context);
static bool build_minmax_path(PlannerInfo *root, MinMaxAggInfo *mminfo,
Oid eqop, Oid sortop, bool nulls_first);
static void minmax_qp_callback(PlannerInfo *root, void *extra);
static Oid fetch_agg_sort_op(Oid aggfnoid);
/*
* preprocess_minmax_aggregates - preprocess MIN/MAX aggregates
*
* Check to see whether the query contains MIN/MAX aggregate functions that
* might be optimizable via indexscans. If it does, and all the aggregates
* are potentially optimizable, then create a MinMaxAggPath and add it to
* the (UPPERREL_GROUP_AGG, NULL) upperrel.
*
* This should be called by grouping_planner() just before it's ready to call
* query_planner(), because we generate indexscan paths by cloning the
* planner's state and invoking query_planner() on a modified version of
* the query parsetree. Thus, all preprocessing needed before query_planner()
* must already be done. This relies on the list of aggregates in
* root->agginfos, so preprocess_aggrefs() must have been called already, too.
*/
void
preprocess_minmax_aggregates(PlannerInfo *root)
{
Query *parse = root->parse;
FromExpr *jtnode;
RangeTblRef *rtr;
RangeTblEntry *rte;
List *aggs_list;
RelOptInfo *grouped_rel;
ListCell *lc;
/* minmax_aggs list should be empty at this point */
Assert(root->minmax_aggs == NIL);
/* Nothing to do if query has no aggregates */
if (!parse->hasAggs)
return;
Assert(!parse->setOperations); /* shouldn't get here if a setop */
Assert(parse->rowMarks == NIL); /* nor if FOR UPDATE */
/*
* Reject unoptimizable cases.
*
* We don't handle GROUP BY or windowing, because our current
* implementations of grouping require looking at all the rows anyway, and
* so there's not much point in optimizing MIN/MAX.
*/
if (parse->groupClause || list_length(parse->groupingSets) > 1 ||
parse->hasWindowFuncs)
return;
/*
* Reject if query contains any CTEs; there's no way to build an indexscan
* on one so we couldn't succeed here. (If the CTEs are unreferenced,
* that's not true, but it doesn't seem worth expending cycles to check.)
*/
if (parse->cteList)
return;
/*
* We also restrict the query to reference exactly one table, since join
* conditions can't be handled reasonably. (We could perhaps handle a
* query containing cartesian-product joins, but it hardly seems worth the
* trouble.) However, the single table could be buried in several levels
* of FromExpr due to subqueries. Note the "single" table could be an
* inheritance parent, too, including the case of a UNION ALL subquery
* that's been flattened to an appendrel.
*/
jtnode = parse->jointree;
while (IsA(jtnode, FromExpr))
{
if (list_length(jtnode->fromlist) != 1)
return;
jtnode = linitial(jtnode->fromlist);
}
if (!IsA(jtnode, RangeTblRef))
return;
rtr = (RangeTblRef *) jtnode;
rte = planner_rt_fetch(rtr->rtindex, root);
if (rte->rtekind == RTE_RELATION)
/* ordinary relation, ok */ ;
else if (rte->rtekind == RTE_SUBQUERY && rte->inh)
/* flattened UNION ALL subquery, ok */ ;
else
return;
/*
* Scan the tlist and HAVING qual to find all the aggregates and verify
* all are MIN/MAX aggregates. Stop as soon as we find one that isn't.
*/
aggs_list = NIL;
if (!can_minmax_aggs(root, &aggs_list))
return;
/*
* OK, there is at least the possibility of performing the optimization.
* Build an access path for each aggregate. If any of the aggregates
* prove to be non-indexable, give up; there is no point in optimizing
* just some of them.
*/
foreach(lc, aggs_list)
{
MinMaxAggInfo *mminfo = (MinMaxAggInfo *) lfirst(lc);
Oid eqop;
bool reverse;
/*
* We'll need the equality operator that goes with the aggregate's
* ordering operator.
*/
eqop = get_equality_op_for_ordering_op(mminfo->aggsortop, &reverse);
if (!OidIsValid(eqop)) /* shouldn't happen */
elog(ERROR, "could not find equality operator for ordering operator %u",
mminfo->aggsortop);
/*
* We can use either an ordering that gives NULLS FIRST or one that
* gives NULLS LAST; furthermore there's unlikely to be much
* performance difference between them, so it doesn't seem worth
* costing out both ways if we get a hit on the first one. NULLS
* FIRST is more likely to be available if the operator is a
* reverse-sort operator, so try that first if reverse.
*/
if (build_minmax_path(root, mminfo, eqop, mminfo->aggsortop, reverse))
continue;
if (build_minmax_path(root, mminfo, eqop, mminfo->aggsortop, !reverse))
continue;
/* No indexable path for this aggregate, so fail */
return;
}
/*
* OK, we can do the query this way. Prepare to create a MinMaxAggPath
* node.
*
* First, create an output Param node for each agg. (If we end up not
* using the MinMaxAggPath, we'll waste a PARAM_EXEC slot for each agg,
* which is not worth worrying about. We can't wait till create_plan time
* to decide whether to make the Param, unfortunately.)
*/
foreach(lc, aggs_list)
{
MinMaxAggInfo *mminfo = (MinMaxAggInfo *) lfirst(lc);
mminfo->param =
SS_make_initplan_output_param(root,
exprType((Node *) mminfo->target),
-1,
exprCollation((Node *) mminfo->target));
}
/*
* Create a MinMaxAggPath node with the appropriate estimated costs and
* other needed data, and add it to the UPPERREL_GROUP_AGG upperrel, where
* it will compete against the standard aggregate implementation. (It
* will likely always win, but we need not assume that here.)
*
* Note: grouping_planner won't have created this upperrel yet, but it's
* fine for us to create it first. We will not have inserted the correct
* consider_parallel value in it, but MinMaxAggPath paths are currently
* never parallel-safe anyway, so that doesn't matter. Likewise, it
* doesn't matter that we haven't filled FDW-related fields in the rel.
* Also, because there are no rowmarks, we know that the processed_tlist
* doesn't need to change anymore, so making the pathtarget now is safe.
*/
grouped_rel = fetch_upper_rel(root, UPPERREL_GROUP_AGG, NULL);
add_path(grouped_rel, (Path *)
create_minmaxagg_path(root, grouped_rel,
create_pathtarget(root,
root->processed_tlist),
aggs_list,
(List *) parse->havingQual));
}
/*
* can_minmax_aggs
* Walk through all the aggregates in the query, and check
* if they are all MIN/MAX aggregates. If so, build a list of the
* distinct aggregate calls in the tree.
*
* Returns false if a non-MIN/MAX aggregate is found, true otherwise.
*
* This does not descend into subqueries, and so should be used only after
* reduction of sublinks to subplans. There mustn't be outer-aggregate
* references either.
*/
static bool
can_minmax_aggs(PlannerInfo *root, List **context)
{
ListCell *lc;
foreach(lc, root->agginfos)
{
AggInfo *agginfo = (AggInfo *) lfirst(lc);
Aggref *aggref = agginfo->representative_aggref;
Oid aggsortop;
TargetEntry *curTarget;
MinMaxAggInfo *mminfo;
Assert(aggref->agglevelsup == 0);
if (list_length(aggref->args) != 1)
return false; /* it couldn't be MIN/MAX */
/*
* ORDER BY is usually irrelevant for MIN/MAX, but it can change the
* outcome if the aggsortop's operator class recognizes non-identical
* values as equal. For example, 4.0 and 4.00 are equal according to
* numeric_ops, yet distinguishable. If MIN() receives more than one
* value equal to 4.0 and no value less than 4.0, it is unspecified
* which of those equal values MIN() returns. An ORDER BY expression
* that differs for each of those equal values of the argument
* expression makes the result predictable once again. This is a
* niche requirement, and we do not implement it with subquery paths.
* In any case, this test lets us reject ordered-set aggregates
* quickly.
*/
if (aggref->aggorder != NIL)
return false;
/* note: we do not care if DISTINCT is mentioned ... */
/*
* We might implement the optimization when a FILTER clause is present
* by adding the filter to the quals of the generated subquery. For
* now, just punt.
*/
if (aggref->aggfilter != NULL)
return false;
aggsortop = fetch_agg_sort_op(aggref->aggfnoid);
if (!OidIsValid(aggsortop))
return false; /* not a MIN/MAX aggregate */
curTarget = (TargetEntry *) linitial(aggref->args);
if (contain_mutable_functions((Node *) curTarget->expr))
return false; /* not potentially indexable */
if (type_is_rowtype(exprType((Node *) curTarget->expr)))
return false; /* IS NOT NULL would have weird semantics */
mminfo = makeNode(MinMaxAggInfo);
mminfo->aggfnoid = aggref->aggfnoid;
mminfo->aggsortop = aggsortop;
mminfo->target = curTarget->expr;
mminfo->subroot = NULL; /* don't compute path yet */
mminfo->path = NULL;
mminfo->pathcost = 0;
mminfo->param = NULL;
*context = lappend(*context, mminfo);
}
return true;
}
/*
* build_minmax_path
* Given a MIN/MAX aggregate, try to build an indexscan Path it can be
* optimized with.
*
* If successful, stash the best path in *mminfo and return true.
* Otherwise, return false.
*/
static bool
build_minmax_path(PlannerInfo *root, MinMaxAggInfo *mminfo,
Oid eqop, Oid sortop, bool nulls_first)
{
PlannerInfo *subroot;
Query *parse;
TargetEntry *tle;
List *tlist;
NullTest *ntest;
SortGroupClause *sortcl;
RelOptInfo *final_rel;
Path *sorted_path;
Cost path_cost;
double path_fraction;
/*
* We are going to construct what is effectively a sub-SELECT query, so
* clone the current query level's state and adjust it to make it look
* like a subquery. Any outer references will now be one level higher
* than before. (This means that when we are done, there will be no Vars
* of level 1, which is why the subquery can become an initplan.)
*/
subroot = (PlannerInfo *) palloc(sizeof(PlannerInfo));
memcpy(subroot, root, sizeof(PlannerInfo));
subroot->query_level++;
subroot->parent_root = root;
/* reset subplan-related stuff */
subroot->plan_params = NIL;
subroot->outer_params = NULL;
subroot->init_plans = NIL;
subroot->agginfos = NIL;
subroot->aggtransinfos = NIL;
subroot->parse = parse = copyObject(root->parse);
IncrementVarSublevelsUp((Node *) parse, 1, 1);
/* append_rel_list might contain outer Vars? */
subroot->append_rel_list = copyObject(root->append_rel_list);
IncrementVarSublevelsUp((Node *) subroot->append_rel_list, 1, 1);
/* There shouldn't be any OJ info to translate, as yet */
Assert(subroot->join_info_list == NIL);
/* and we haven't made equivalence classes, either */
Assert(subroot->eq_classes == NIL);
/* and we haven't created PlaceHolderInfos, either */
Assert(subroot->placeholder_list == NIL);
/*----------
* Generate modified query of the form
* (SELECT col FROM tab
* WHERE col IS NOT NULL AND existing-quals
* ORDER BY col ASC/DESC
* LIMIT 1)
*----------
*/
/* single tlist entry that is the aggregate target */
tle = makeTargetEntry(copyObject(mminfo->target),
(AttrNumber) 1,
pstrdup("agg_target"),
false);
tlist = list_make1(tle);
subroot->processed_tlist = parse->targetList = tlist;
/* No HAVING, no DISTINCT, no aggregates anymore */
parse->havingQual = NULL;
subroot->hasHavingQual = false;
parse->distinctClause = NIL;
parse->hasDistinctOn = false;
parse->hasAggs = false;
/* Build "target IS NOT NULL" expression */
ntest = makeNode(NullTest);
ntest->nulltesttype = IS_NOT_NULL;
ntest->arg = copyObject(mminfo->target);
/* we checked it wasn't a rowtype in find_minmax_aggs_walker */
ntest->argisrow = false;
ntest->location = -1;
/* User might have had that in WHERE already */
if (!list_member((List *) parse->jointree->quals, ntest))
parse->jointree->quals = (Node *)
lcons(ntest, (List *) parse->jointree->quals);
/* Build suitable ORDER BY clause */
sortcl = makeNode(SortGroupClause);
sortcl->tleSortGroupRef = assignSortGroupRef(tle, subroot->processed_tlist);
sortcl->eqop = eqop;
sortcl->sortop = sortop;
sortcl->nulls_first = nulls_first;
sortcl->hashable = false; /* no need to make this accurate */
parse->sortClause = list_make1(sortcl);
/* set up expressions for LIMIT 1 */
parse->limitOffset = NULL;
parse->limitCount = (Node *) makeConst(INT8OID, -1, InvalidOid,
sizeof(int64),
Int64GetDatum(1), false,
FLOAT8PASSBYVAL);
/*
* Generate the best paths for this query, telling query_planner that we
* have LIMIT 1.
*/
subroot->tuple_fraction = 1.0;
subroot->limit_tuples = 1.0;
final_rel = query_planner(subroot, minmax_qp_callback, NULL);
/*
* Since we didn't go through subquery_planner() to handle the subquery,
* we have to do some of the same cleanup it would do, in particular cope
* with params and initplans used within this subquery. (This won't
* matter if we end up not using the subplan.)
*/
SS_identify_outer_params(subroot);
SS_charge_for_initplans(subroot, final_rel);
/*
* Get the best presorted path, that being the one that's cheapest for
* fetching just one row. If there's no such path, fail.
*/
if (final_rel->rows > 1.0)
path_fraction = 1.0 / final_rel->rows;
else
path_fraction = 1.0;
sorted_path =
get_cheapest_fractional_path_for_pathkeys(final_rel->pathlist,
subroot->query_pathkeys,
NULL,
path_fraction);
if (!sorted_path)
return false;
/*
* The path might not return exactly what we want, so fix that. (We
* assume that this won't change any conclusions about which was the
* cheapest path.)
*/
sorted_path = apply_projection_to_path(subroot, final_rel, sorted_path,
create_pathtarget(subroot,
subroot->processed_tlist));
/*
* Determine cost to get just the first row of the presorted path.
*
* Note: cost calculation here should match
* compare_fractional_path_costs().
*/
path_cost = sorted_path->startup_cost +
path_fraction * (sorted_path->total_cost - sorted_path->startup_cost);
/* Save state for further processing */
mminfo->subroot = subroot;
mminfo->path = sorted_path;
mminfo->pathcost = path_cost;
return true;
}
/*
* Compute query_pathkeys and other pathkeys during query_planner()
*/
static void
minmax_qp_callback(PlannerInfo *root, void *extra)
{
root->group_pathkeys = NIL;
root->window_pathkeys = NIL;
root->distinct_pathkeys = NIL;
root->sort_pathkeys =
make_pathkeys_for_sortclauses(root,
root->parse->sortClause,
root->parse->targetList);
root->query_pathkeys = root->sort_pathkeys;
}
/*
* Get the OID of the sort operator, if any, associated with an aggregate.
* Returns InvalidOid if there is no such operator.
*/
static Oid
fetch_agg_sort_op(Oid aggfnoid)
{
HeapTuple aggTuple;
Form_pg_aggregate aggform;
Oid aggsortop;
/* fetch aggregate entry from pg_aggregate */
aggTuple = SearchSysCache1(AGGFNOID, ObjectIdGetDatum(aggfnoid));
if (!HeapTupleIsValid(aggTuple))
return InvalidOid;
aggform = (Form_pg_aggregate) GETSTRUCT(aggTuple);
aggsortop = aggform->aggsortop;
ReleaseSysCache(aggTuple);
return aggsortop;
}
|