Line data Source code
1 : /*-------------------------------------------------------------------------
2 : *
3 : * extended_stats_funcs.c
4 : * Functions for manipulating extended statistics.
5 : *
6 : * This file includes the set of facilities required to support the direct
7 : * manipulations of extended statistics objects.
8 : *
9 : * Portions Copyright (c) 1996-2026, PostgreSQL Global Development Group
10 : * Portions Copyright (c) 1994, Regents of the University of California
11 : *
12 : * IDENTIFICATION
13 : * src/backend/statistics/extended_stats_funcs.c
14 : *
15 : *-------------------------------------------------------------------------
16 : */
17 : #include "postgres.h"
18 :
19 : #include "access/heapam.h"
20 : #include "catalog/indexing.h"
21 : #include "catalog/namespace.h"
22 : #include "catalog/pg_collation_d.h"
23 : #include "catalog/pg_database.h"
24 : #include "catalog/pg_operator.h"
25 : #include "catalog/pg_statistic_ext.h"
26 : #include "catalog/pg_statistic_ext_data.h"
27 : #include "miscadmin.h"
28 : #include "nodes/makefuncs.h"
29 : #include "nodes/nodeFuncs.h"
30 : #include "optimizer/optimizer.h"
31 : #include "statistics/extended_stats_internal.h"
32 : #include "statistics/stat_utils.h"
33 : #include "utils/acl.h"
34 : #include "utils/array.h"
35 : #include "utils/builtins.h"
36 : #include "utils/fmgroids.h"
37 : #include "utils/jsonb.h"
38 : #include "utils/lsyscache.h"
39 : #include "utils/syscache.h"
40 : #include "utils/typcache.h"
41 :
42 :
43 : /*
44 : * Index of the arguments for the SQL functions.
45 : */
46 : enum extended_stats_argnum
47 : {
48 : RELSCHEMA_ARG = 0,
49 : RELNAME_ARG,
50 : STATSCHEMA_ARG,
51 : STATNAME_ARG,
52 : INHERITED_ARG,
53 : NDISTINCT_ARG,
54 : DEPENDENCIES_ARG,
55 : MOST_COMMON_VALS_ARG,
56 : MOST_COMMON_FREQS_ARG,
57 : MOST_COMMON_BASE_FREQS_ARG,
58 : EXPRESSIONS_ARG,
59 : NUM_EXTENDED_STATS_ARGS,
60 : };
61 :
62 : /*
63 : * The argument names and type OIDs of the arguments for the SQL
64 : * functions.
65 : */
66 : static struct StatsArgInfo extarginfo[] =
67 : {
68 : [RELSCHEMA_ARG] = {"schemaname", TEXTOID},
69 : [RELNAME_ARG] = {"relname", TEXTOID},
70 : [STATSCHEMA_ARG] = {"statistics_schemaname", TEXTOID},
71 : [STATNAME_ARG] = {"statistics_name", TEXTOID},
72 : [INHERITED_ARG] = {"inherited", BOOLOID},
73 : [NDISTINCT_ARG] = {"n_distinct", PG_NDISTINCTOID},
74 : [DEPENDENCIES_ARG] = {"dependencies", PG_DEPENDENCIESOID},
75 : [MOST_COMMON_VALS_ARG] = {"most_common_vals", TEXTARRAYOID},
76 : [MOST_COMMON_FREQS_ARG] = {"most_common_freqs", FLOAT8ARRAYOID},
77 : [MOST_COMMON_BASE_FREQS_ARG] = {"most_common_base_freqs", FLOAT8ARRAYOID},
78 : [EXPRESSIONS_ARG] = {"exprs", JSONBOID},
79 : [NUM_EXTENDED_STATS_ARGS] = {0},
80 : };
81 :
82 : /*
83 : * An index of the elements of a stxdexpr Datum, which repeat for each
84 : * expression in the extended statistics object.
85 : */
86 : enum extended_stats_exprs_element
87 : {
88 : NULL_FRAC_ELEM = 0,
89 : AVG_WIDTH_ELEM,
90 : N_DISTINCT_ELEM,
91 : MOST_COMMON_VALS_ELEM,
92 : MOST_COMMON_FREQS_ELEM,
93 : HISTOGRAM_BOUNDS_ELEM,
94 : CORRELATION_ELEM,
95 : MOST_COMMON_ELEMS_ELEM,
96 : MOST_COMMON_ELEM_FREQS_ELEM,
97 : ELEM_COUNT_HISTOGRAM_ELEM,
98 : RANGE_LENGTH_HISTOGRAM_ELEM,
99 : RANGE_EMPTY_FRAC_ELEM,
100 : RANGE_BOUNDS_HISTOGRAM_ELEM,
101 : NUM_ATTRIBUTE_STATS_ELEMS
102 : };
103 :
104 : /*
105 : * The argument names of the repeating arguments for stxdexpr.
106 : */
107 : static const char *extexprargname[NUM_ATTRIBUTE_STATS_ELEMS] =
108 : {
109 : "null_frac",
110 : "avg_width",
111 : "n_distinct",
112 : "most_common_vals",
113 : "most_common_freqs",
114 : "histogram_bounds",
115 : "correlation",
116 : "most_common_elems",
117 : "most_common_elem_freqs",
118 : "elem_count_histogram",
119 : "range_length_histogram",
120 : "range_empty_frac",
121 : "range_bounds_histogram"
122 : };
123 :
124 : static bool extended_statistics_update(FunctionCallInfo fcinfo);
125 :
126 : static HeapTuple get_pg_statistic_ext(Relation pg_stext, Oid nspoid,
127 : const char *stxname);
128 : static bool delete_pg_statistic_ext_data(Oid stxoid, bool inherited);
129 :
130 : /*
131 : * Track the extended statistics kinds expected for a pg_statistic_ext
132 : * tuple.
133 : */
134 : typedef struct
135 : {
136 : bool ndistinct;
137 : bool dependencies;
138 : bool mcv;
139 : bool expressions;
140 : } StakindFlags;
141 :
142 : static void expand_stxkind(HeapTuple tup, StakindFlags *enabled);
143 : static void upsert_pg_statistic_ext_data(const Datum *values,
144 : const bool *nulls,
145 : const bool *replaces);
146 :
147 : static bool check_mcvlist_array(const ArrayType *arr, int argindex,
148 : int required_ndims, int mcv_length);
149 : static Datum import_expressions(Relation pgsd, int numexprs,
150 : Oid *atttypids, int32 *atttypmods,
151 : Oid *atttypcolls, Jsonb *exprs_jsonb,
152 : bool *exprs_is_perfect);
153 : static Datum import_mcv(const ArrayType *mcv_arr,
154 : const ArrayType *freqs_arr,
155 : const ArrayType *base_freqs_arr,
156 : Oid *atttypids, int32 *atttypmods,
157 : Oid *atttypcolls, int numattrs,
158 : bool *ok);
159 :
160 : static char *jbv_string_get_cstr(JsonbValue *jval);
161 : static bool jbv_to_infunc_datum(JsonbValue *jval, PGFunction func,
162 : AttrNumber exprnum, const char *argname,
163 : Datum *datum);
164 : static bool key_in_expr_argnames(JsonbValue *key);
165 : static bool check_all_expr_argnames_valid(JsonbContainer *cont, AttrNumber exprnum);
166 : static Datum array_in_safe(FmgrInfo *array_in, const char *s, Oid typid,
167 : int32 typmod, AttrNumber exprnum,
168 : const char *element_name, bool *ok);
169 : static Datum import_pg_statistic(Relation pgsd, JsonbContainer *cont,
170 : AttrNumber exprnum, FmgrInfo *array_in_fn,
171 : Oid typid, int32 typmod, Oid typcoll,
172 : bool *pg_statistic_ok);
173 :
174 : /*
175 : * Fetch a pg_statistic_ext row by name and namespace OID.
176 : */
177 : static HeapTuple
178 280 : get_pg_statistic_ext(Relation pg_stext, Oid nspoid, const char *stxname)
179 : {
180 : ScanKeyData key[2];
181 : SysScanDesc scan;
182 : HeapTuple tup;
183 280 : Oid stxoid = InvalidOid;
184 :
185 280 : ScanKeyInit(&key[0],
186 : Anum_pg_statistic_ext_stxname,
187 : BTEqualStrategyNumber,
188 : F_NAMEEQ,
189 : CStringGetDatum(stxname));
190 280 : ScanKeyInit(&key[1],
191 : Anum_pg_statistic_ext_stxnamespace,
192 : BTEqualStrategyNumber,
193 : F_OIDEQ,
194 : ObjectIdGetDatum(nspoid));
195 :
196 : /*
197 : * Try to find matching pg_statistic_ext row.
198 : */
199 280 : scan = systable_beginscan(pg_stext,
200 : StatisticExtNameIndexId,
201 : true,
202 : NULL,
203 : 2,
204 : key);
205 :
206 : /* Lookup is based on a unique index, so we get either 0 or 1 tuple. */
207 280 : tup = systable_getnext(scan);
208 :
209 280 : if (HeapTupleIsValid(tup))
210 272 : stxoid = ((Form_pg_statistic_ext) GETSTRUCT(tup))->oid;
211 :
212 280 : systable_endscan(scan);
213 :
214 280 : if (!OidIsValid(stxoid))
215 8 : return NULL;
216 :
217 272 : return SearchSysCacheCopy1(STATEXTOID, ObjectIdGetDatum(stxoid));
218 : }
219 :
220 : /*
221 : * Decode the stxkind column so that we know which stats types to expect,
222 : * returning a StakindFlags set depending on the stats kinds expected by
223 : * a pg_statistic_ext tuple.
224 : */
225 : static void
226 252 : expand_stxkind(HeapTuple tup, StakindFlags *enabled)
227 : {
228 : Datum datum;
229 : ArrayType *arr;
230 : char *kinds;
231 :
232 252 : datum = SysCacheGetAttrNotNull(STATEXTOID,
233 : tup,
234 : Anum_pg_statistic_ext_stxkind);
235 252 : arr = DatumGetArrayTypeP(datum);
236 252 : if (ARR_NDIM(arr) != 1 || ARR_HASNULL(arr) || ARR_ELEMTYPE(arr) != CHAROID)
237 0 : elog(ERROR, "stxkind is not a one-dimension char array");
238 :
239 252 : kinds = (char *) ARR_DATA_PTR(arr);
240 :
241 1017 : for (int i = 0; i < ARR_DIMS(arr)[0]; i++)
242 : {
243 765 : switch (kinds[i])
244 : {
245 188 : case STATS_EXT_NDISTINCT:
246 188 : enabled->ndistinct = true;
247 188 : break;
248 189 : case STATS_EXT_DEPENDENCIES:
249 189 : enabled->dependencies = true;
250 189 : break;
251 203 : case STATS_EXT_MCV:
252 203 : enabled->mcv = true;
253 203 : break;
254 185 : case STATS_EXT_EXPRESSIONS:
255 185 : enabled->expressions = true;
256 185 : break;
257 0 : default:
258 0 : elog(ERROR, "incorrect stxkind %c found", kinds[i]);
259 : break;
260 : }
261 : }
262 252 : }
263 :
264 : /*
265 : * Perform the actual storage of a pg_statistic_ext_data tuple.
266 : */
267 : static void
268 252 : upsert_pg_statistic_ext_data(const Datum *values, const bool *nulls,
269 : const bool *replaces)
270 : {
271 : Relation pg_stextdata;
272 : HeapTuple stxdtup;
273 : HeapTuple newtup;
274 :
275 252 : pg_stextdata = table_open(StatisticExtDataRelationId, RowExclusiveLock);
276 :
277 252 : stxdtup = SearchSysCache2(STATEXTDATASTXOID,
278 : values[Anum_pg_statistic_ext_data_stxoid - 1],
279 252 : values[Anum_pg_statistic_ext_data_stxdinherit - 1]);
280 :
281 252 : if (HeapTupleIsValid(stxdtup))
282 : {
283 228 : newtup = heap_modify_tuple(stxdtup,
284 : RelationGetDescr(pg_stextdata),
285 : values,
286 : nulls,
287 : replaces);
288 228 : CatalogTupleUpdate(pg_stextdata, &newtup->t_self, newtup);
289 228 : ReleaseSysCache(stxdtup);
290 : }
291 : else
292 : {
293 24 : newtup = heap_form_tuple(RelationGetDescr(pg_stextdata), values, nulls);
294 24 : CatalogTupleInsert(pg_stextdata, newtup);
295 : }
296 :
297 252 : heap_freetuple(newtup);
298 :
299 252 : CommandCounterIncrement();
300 :
301 252 : table_close(pg_stextdata, RowExclusiveLock);
302 252 : }
303 :
304 : /*
305 : * Insert or update an extended statistics object.
306 : *
307 : * Major errors, such as the table not existing or permission errors, are
308 : * reported as ERRORs. There are a couple of paths that generate a WARNING,
309 : * like when the statistics object or its schema do not exist, a conversion
310 : * failure on one statistic kind, or when other statistic kinds may still
311 : * be updated.
312 : */
313 : static bool
314 296 : extended_statistics_update(FunctionCallInfo fcinfo)
315 : {
316 : char *relnspname;
317 : char *relname;
318 : Oid nspoid;
319 : char *nspname;
320 : char *stxname;
321 : bool inherited;
322 296 : Relation pg_stext = NULL;
323 296 : HeapTuple tup = NULL;
324 :
325 296 : StakindFlags enabled = {false, false, false, false};
326 296 : StakindFlags has = {false, false, false, false};
327 :
328 : Form_pg_statistic_ext stxform;
329 :
330 296 : Datum values[Natts_pg_statistic_ext_data] = {0};
331 296 : bool nulls[Natts_pg_statistic_ext_data] = {0};
332 296 : bool replaces[Natts_pg_statistic_ext_data] = {0};
333 296 : bool success = true;
334 : Datum exprdatum;
335 : bool isnull;
336 296 : List *exprs = NIL;
337 296 : int numattnums = 0;
338 296 : int numexprs = 0;
339 296 : int numattrs = 0;
340 :
341 : /* arrays of type info, if we need them */
342 296 : Oid *atttypids = NULL;
343 296 : int32 *atttypmods = NULL;
344 296 : Oid *atttypcolls = NULL;
345 : Oid relid;
346 296 : Oid locked_table = InvalidOid;
347 :
348 : /*
349 : * Fill out the StakindFlags "has" structure based on which parameters
350 : * were provided to the function.
351 : *
352 : * The MCV stats composite value is an array of record type, but this is
353 : * externally represented as three arrays that must be interleaved into
354 : * the array of records (pg_stats_ext stores four arrays,
355 : * most_common_val_nulls is built from the contents of most_common_vals).
356 : * Therefore, none of the three array values is meaningful unless the
357 : * other two are also present and in sync in terms of array length.
358 : */
359 643 : has.mcv = (!PG_ARGISNULL(MOST_COMMON_VALS_ARG) &&
360 343 : !PG_ARGISNULL(MOST_COMMON_FREQS_ARG) &&
361 47 : !PG_ARGISNULL(MOST_COMMON_BASE_FREQS_ARG));
362 296 : has.ndistinct = !PG_ARGISNULL(NDISTINCT_ARG);
363 296 : has.dependencies = !PG_ARGISNULL(DEPENDENCIES_ARG);
364 296 : has.expressions = !PG_ARGISNULL(EXPRESSIONS_ARG);
365 :
366 296 : if (RecoveryInProgress())
367 : {
368 0 : ereport(WARNING,
369 : errcode(ERRCODE_OBJECT_NOT_IN_PREREQUISITE_STATE),
370 : errmsg("recovery is in progress"),
371 : errhint("Statistics cannot be modified during recovery."));
372 0 : return false;
373 : }
374 :
375 : /* relation arguments */
376 296 : stats_check_required_arg(fcinfo, extarginfo, RELSCHEMA_ARG);
377 292 : relnspname = TextDatumGetCString(PG_GETARG_DATUM(RELSCHEMA_ARG));
378 292 : stats_check_required_arg(fcinfo, extarginfo, RELNAME_ARG);
379 288 : relname = TextDatumGetCString(PG_GETARG_DATUM(RELNAME_ARG));
380 :
381 : /* extended statistics arguments */
382 288 : stats_check_required_arg(fcinfo, extarginfo, STATSCHEMA_ARG);
383 284 : nspname = TextDatumGetCString(PG_GETARG_DATUM(STATSCHEMA_ARG));
384 284 : stats_check_required_arg(fcinfo, extarginfo, STATNAME_ARG);
385 280 : stxname = TextDatumGetCString(PG_GETARG_DATUM(STATNAME_ARG));
386 280 : stats_check_required_arg(fcinfo, extarginfo, INHERITED_ARG);
387 276 : inherited = PG_GETARG_BOOL(INHERITED_ARG);
388 :
389 : /*
390 : * First open the relation where we expect to find the statistics. This
391 : * is similar to relation and attribute statistics, so as ACL checks are
392 : * done before any locks are taken, even before any attempts related to
393 : * the extended stats object.
394 : */
395 276 : relid = RangeVarGetRelidExtended(makeRangeVar(relnspname, relname, -1),
396 : ShareUpdateExclusiveLock, 0,
397 : RangeVarCallbackForStats, &locked_table);
398 :
399 264 : nspoid = get_namespace_oid(nspname, true);
400 264 : if (nspoid == InvalidOid)
401 : {
402 4 : ereport(WARNING,
403 : errcode(ERRCODE_UNDEFINED_OBJECT),
404 : errmsg("could not find schema \"%s\"", nspname));
405 4 : success = false;
406 4 : goto cleanup;
407 : }
408 :
409 260 : pg_stext = table_open(StatisticExtRelationId, RowExclusiveLock);
410 260 : tup = get_pg_statistic_ext(pg_stext, nspoid, stxname);
411 :
412 260 : if (!HeapTupleIsValid(tup))
413 : {
414 4 : ereport(WARNING,
415 : errcode(ERRCODE_UNDEFINED_OBJECT),
416 : errmsg("could not find extended statistics object \"%s.%s\"",
417 : nspname, stxname));
418 4 : success = false;
419 4 : goto cleanup;
420 : }
421 :
422 256 : stxform = (Form_pg_statistic_ext) GETSTRUCT(tup);
423 :
424 : /*
425 : * The relation tracked by the stats object has to match with the relation
426 : * we have already locked.
427 : */
428 256 : if (stxform->stxrelid != relid)
429 : {
430 4 : ereport(WARNING,
431 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
432 : errmsg("could not restore extended statistics object \"%s.%s\": incorrect relation \"%s.%s\" specified",
433 : nspname, stxname,
434 : relnspname, relname));
435 :
436 4 : success = false;
437 4 : goto cleanup;
438 : }
439 :
440 : /* Find out what extended statistics kinds we should expect. */
441 252 : expand_stxkind(tup, &enabled);
442 252 : numattnums = stxform->stxkeys.dim1;
443 :
444 : /* decode expression (if any) */
445 252 : exprdatum = SysCacheGetAttr(STATEXTOID,
446 : tup,
447 : Anum_pg_statistic_ext_stxexprs,
448 : &isnull);
449 252 : if (!isnull)
450 : {
451 : char *s;
452 :
453 185 : s = TextDatumGetCString(exprdatum);
454 185 : exprs = (List *) stringToNode(s);
455 185 : pfree(s);
456 :
457 : /*
458 : * Run the expressions through eval_const_expressions(). This is not
459 : * just an optimization, but is necessary, because the planner will be
460 : * comparing them to similarly-processed qual clauses, and may fail to
461 : * detect valid matches without this.
462 : *
463 : * We must not use canonicalize_qual(), however, since these are not
464 : * qual expressions.
465 : */
466 185 : exprs = (List *) eval_const_expressions(NULL, (Node *) exprs);
467 :
468 : /* May as well fix opfuncids too */
469 185 : fix_opfuncids((Node *) exprs);
470 :
471 : /* Compute the number of expression, for input validation. */
472 185 : numexprs = list_length(exprs);
473 : }
474 :
475 252 : numattrs = numattnums + numexprs;
476 :
477 : /*
478 : * If the object cannot support ndistinct, we should not have data for it.
479 : */
480 252 : if (has.ndistinct && !enabled.ndistinct)
481 : {
482 4 : ereport(WARNING,
483 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
484 : errmsg("cannot specify parameter \"%s\"",
485 : extarginfo[NDISTINCT_ARG].argname),
486 : errhint("Extended statistics object \"%s.%s\" does not support statistics of this type.",
487 : nspname, stxname));
488 :
489 4 : has.ndistinct = false;
490 4 : success = false;
491 : }
492 :
493 : /*
494 : * If the object cannot support dependencies, we should not have data for
495 : * it.
496 : */
497 252 : if (has.dependencies && !enabled.dependencies)
498 : {
499 4 : ereport(WARNING,
500 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
501 : errmsg("cannot specify parameter \"%s\"",
502 : extarginfo[DEPENDENCIES_ARG].argname),
503 : errhint("Extended statistics object \"%s.%s\" does not support statistics of this type.",
504 : nspname, stxname));
505 4 : has.dependencies = false;
506 4 : success = false;
507 : }
508 :
509 : /*
510 : * If the object cannot hold an MCV value, but any of the MCV parameters
511 : * are set, then issue a WARNING and ensure that we do not try to load MCV
512 : * stats later. In pg_stats_ext, most_common_val_nulls, most_common_freqs
513 : * and most_common_base_freqs are NULL if most_common_vals is NULL.
514 : */
515 252 : if (!enabled.mcv)
516 : {
517 49 : if (!PG_ARGISNULL(MOST_COMMON_VALS_ARG) ||
518 45 : !PG_ARGISNULL(MOST_COMMON_FREQS_ARG) ||
519 45 : !PG_ARGISNULL(MOST_COMMON_BASE_FREQS_ARG))
520 : {
521 4 : ereport(WARNING,
522 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
523 : errmsg("cannot specify parameters \"%s\", \"%s\" or \"%s\"",
524 : extarginfo[MOST_COMMON_VALS_ARG].argname,
525 : extarginfo[MOST_COMMON_FREQS_ARG].argname,
526 : extarginfo[MOST_COMMON_BASE_FREQS_ARG].argname),
527 : errhint("Extended statistics object \"%s.%s\" does not support statistics of this type.",
528 : nspname, stxname));
529 :
530 4 : has.mcv = false;
531 4 : success = false;
532 : }
533 : }
534 203 : else if (!has.mcv)
535 : {
536 : /*
537 : * If we do not have all of the MCV arrays set while the extended
538 : * statistics object expects something, something is wrong. This
539 : * issues a WARNING if a partial input has been provided.
540 : */
541 164 : if (!PG_ARGISNULL(MOST_COMMON_VALS_ARG) ||
542 156 : !PG_ARGISNULL(MOST_COMMON_FREQS_ARG) ||
543 152 : !PG_ARGISNULL(MOST_COMMON_BASE_FREQS_ARG))
544 : {
545 12 : ereport(WARNING,
546 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
547 : errmsg("could not use \"%s\", \"%s\" and \"%s\": missing one or more parameters",
548 : extarginfo[MOST_COMMON_VALS_ARG].argname,
549 : extarginfo[MOST_COMMON_FREQS_ARG].argname,
550 : extarginfo[MOST_COMMON_BASE_FREQS_ARG].argname));
551 12 : success = false;
552 : }
553 : }
554 :
555 : /*
556 : * If the object cannot support expressions, we should not have data for
557 : * them.
558 : */
559 252 : if (has.expressions && !enabled.expressions)
560 : {
561 4 : ereport(WARNING,
562 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
563 : errmsg("cannot specify parameter \"%s\"",
564 : extarginfo[EXPRESSIONS_ARG].argname),
565 : errhint("Extended statistics object \"%s.%s\" does not support statistics of this type.",
566 : nspname, stxname));
567 :
568 4 : has.expressions = false;
569 4 : success = false;
570 : }
571 :
572 : /*
573 : * Either of these statistic types requires that we supply a semi-filled
574 : * VacAttrStatP array.
575 : *
576 : * It is not possible to use the existing lookup_var_attr_stats() and
577 : * examine_attribute() because these functions will skip attributes where
578 : * attstattarget is 0, and we may have statistics data to import for those
579 : * attributes.
580 : */
581 252 : if (has.mcv || has.expressions)
582 : {
583 188 : atttypids = palloc0_array(Oid, numattrs);
584 188 : atttypmods = palloc0_array(int32, numattrs);
585 188 : atttypcolls = palloc0_array(Oid, numattrs);
586 :
587 : /*
588 : * The leading stxkeys are attribute numbers up through numattnums.
589 : * These keys must be in ascending AttNumber order, but we do not rely
590 : * on that.
591 : */
592 509 : for (int i = 0; i < numattnums; i++)
593 : {
594 321 : AttrNumber attnum = stxform->stxkeys.values[i];
595 321 : HeapTuple atup = SearchSysCache2(ATTNUM,
596 : ObjectIdGetDatum(relid),
597 : Int16GetDatum(attnum));
598 :
599 : Form_pg_attribute attr;
600 :
601 : /* Attribute not found */
602 321 : if (!HeapTupleIsValid(atup))
603 0 : elog(ERROR, "stxkeys references nonexistent attnum %d", attnum);
604 :
605 321 : attr = (Form_pg_attribute) GETSTRUCT(atup);
606 :
607 321 : if (attr->attisdropped)
608 0 : elog(ERROR, "stxkeys references dropped attnum %d", attnum);
609 :
610 321 : atttypids[i] = attr->atttypid;
611 321 : atttypmods[i] = attr->atttypmod;
612 321 : atttypcolls[i] = attr->attcollation;
613 321 : ReleaseSysCache(atup);
614 : }
615 :
616 : /*
617 : * After all the positive number attnums in stxkeys come the negative
618 : * numbers (if any) which represent expressions in the order that they
619 : * appear in stxdexpr. Because the expressions are always
620 : * monotonically decreasing from -1, there is no point in looking at
621 : * the values in stxkeys, it's enough to know how many of them there
622 : * are.
623 : */
624 455 : for (int i = numattnums; i < numattrs; i++)
625 : {
626 267 : Node *expr = list_nth(exprs, i - numattnums);
627 :
628 267 : atttypids[i] = exprType(expr);
629 267 : atttypmods[i] = exprTypmod(expr);
630 267 : atttypcolls[i] = exprCollation(expr);
631 : }
632 : }
633 :
634 : /*
635 : * Populate the pg_statistic_ext_data result tuple.
636 : */
637 :
638 : /* Primary Key: cannot be NULL or replaced. */
639 252 : values[Anum_pg_statistic_ext_data_stxoid - 1] = ObjectIdGetDatum(stxform->oid);
640 252 : nulls[Anum_pg_statistic_ext_data_stxoid - 1] = false;
641 252 : values[Anum_pg_statistic_ext_data_stxdinherit - 1] = BoolGetDatum(inherited);
642 252 : nulls[Anum_pg_statistic_ext_data_stxdinherit - 1] = false;
643 :
644 : /* All unspecified parameters will be left unmodified */
645 252 : nulls[Anum_pg_statistic_ext_data_stxdndistinct - 1] = true;
646 252 : nulls[Anum_pg_statistic_ext_data_stxddependencies - 1] = true;
647 252 : nulls[Anum_pg_statistic_ext_data_stxdmcv - 1] = true;
648 252 : nulls[Anum_pg_statistic_ext_data_stxdexpr - 1] = true;
649 :
650 : /*
651 : * For each stats kind, deserialize the data at hand and perform a round
652 : * of validation. The resulting tuple is filled with a set of updated
653 : * values.
654 : */
655 :
656 252 : if (has.ndistinct)
657 : {
658 32 : Datum ndistinct_datum = PG_GETARG_DATUM(NDISTINCT_ARG);
659 32 : bytea *data = DatumGetByteaPP(ndistinct_datum);
660 32 : MVNDistinct *ndistinct = statext_ndistinct_deserialize(data);
661 :
662 32 : if (statext_ndistinct_validate(ndistinct, &stxform->stxkeys,
663 : numexprs, WARNING))
664 : {
665 24 : values[Anum_pg_statistic_ext_data_stxdndistinct - 1] = ndistinct_datum;
666 24 : nulls[Anum_pg_statistic_ext_data_stxdndistinct - 1] = false;
667 24 : replaces[Anum_pg_statistic_ext_data_stxdndistinct - 1] = true;
668 : }
669 : else
670 8 : success = false;
671 :
672 32 : statext_ndistinct_free(ndistinct);
673 : }
674 :
675 252 : if (has.dependencies)
676 : {
677 29 : Datum dependencies_datum = PG_GETARG_DATUM(DEPENDENCIES_ARG);
678 29 : bytea *data = DatumGetByteaPP(dependencies_datum);
679 29 : MVDependencies *dependencies = statext_dependencies_deserialize(data);
680 :
681 29 : if (statext_dependencies_validate(dependencies, &stxform->stxkeys,
682 : numexprs, WARNING))
683 : {
684 21 : values[Anum_pg_statistic_ext_data_stxddependencies - 1] = dependencies_datum;
685 21 : nulls[Anum_pg_statistic_ext_data_stxddependencies - 1] = false;
686 21 : replaces[Anum_pg_statistic_ext_data_stxddependencies - 1] = true;
687 : }
688 : else
689 8 : success = false;
690 :
691 29 : statext_dependencies_free(dependencies);
692 : }
693 :
694 252 : if (has.mcv)
695 : {
696 : Datum datum;
697 39 : bool val_ok = false;
698 :
699 39 : datum = import_mcv(PG_GETARG_ARRAYTYPE_P(MOST_COMMON_VALS_ARG),
700 39 : PG_GETARG_ARRAYTYPE_P(MOST_COMMON_FREQS_ARG),
701 39 : PG_GETARG_ARRAYTYPE_P(MOST_COMMON_BASE_FREQS_ARG),
702 : atttypids, atttypmods, atttypcolls, numattrs,
703 : &val_ok);
704 :
705 39 : if (val_ok)
706 : {
707 : Assert(datum != (Datum) 0);
708 23 : values[Anum_pg_statistic_ext_data_stxdmcv - 1] = datum;
709 23 : nulls[Anum_pg_statistic_ext_data_stxdmcv - 1] = false;
710 23 : replaces[Anum_pg_statistic_ext_data_stxdmcv - 1] = true;
711 : }
712 : else
713 16 : success = false;
714 : }
715 :
716 252 : if (has.expressions)
717 : {
718 : Datum datum;
719 : Relation pgsd;
720 161 : bool ok = false;
721 :
722 161 : pgsd = table_open(StatisticRelationId, RowExclusiveLock);
723 :
724 : /*
725 : * Generate the expressions array.
726 : *
727 : * The attytypids, attytypmods, and atttypcolls arrays have all the
728 : * regular attributes listed first, so we can pass those arrays with a
729 : * start point after the last regular attribute. There are numexprs
730 : * elements remaining.
731 : */
732 161 : datum = import_expressions(pgsd, numexprs,
733 161 : &atttypids[numattnums],
734 161 : &atttypmods[numattnums],
735 161 : &atttypcolls[numattnums],
736 : PG_GETARG_JSONB_P(EXPRESSIONS_ARG),
737 : &ok);
738 :
739 161 : table_close(pgsd, RowExclusiveLock);
740 :
741 161 : if (ok)
742 : {
743 : Assert(datum != (Datum) 0);
744 37 : values[Anum_pg_statistic_ext_data_stxdexpr - 1] = datum;
745 37 : replaces[Anum_pg_statistic_ext_data_stxdexpr - 1] = true;
746 37 : nulls[Anum_pg_statistic_ext_data_stxdexpr - 1] = false;
747 : }
748 : else
749 124 : success = false;
750 : }
751 :
752 252 : upsert_pg_statistic_ext_data(values, nulls, replaces);
753 :
754 264 : cleanup:
755 264 : if (HeapTupleIsValid(tup))
756 256 : heap_freetuple(tup);
757 264 : if (pg_stext != NULL)
758 260 : table_close(pg_stext, RowExclusiveLock);
759 264 : if (atttypids != NULL)
760 188 : pfree(atttypids);
761 264 : if (atttypmods != NULL)
762 188 : pfree(atttypmods);
763 264 : if (atttypcolls != NULL)
764 188 : pfree(atttypcolls);
765 264 : return success;
766 : }
767 :
768 : /*
769 : * Consistency checks to ensure that other mcvlist arrays are in alignment
770 : * with the mcv array.
771 : */
772 : static bool
773 58 : check_mcvlist_array(const ArrayType *arr, int argindex, int required_ndims,
774 : int mcv_length)
775 : {
776 58 : if (ARR_NDIM(arr) != required_ndims)
777 : {
778 0 : ereport(WARNING,
779 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
780 : errmsg("could not parse array \"%s\": incorrect number of dimensions (%d required)",
781 : extarginfo[argindex].argname, required_ndims));
782 0 : return false;
783 : }
784 :
785 58 : if (array_contains_nulls(arr))
786 : {
787 0 : ereport(WARNING,
788 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
789 : errmsg("could not parse array \"%s\": NULL value found",
790 : extarginfo[argindex].argname));
791 0 : return false;
792 : }
793 :
794 58 : if (ARR_DIMS(arr)[0] != mcv_length)
795 : {
796 8 : ereport(WARNING,
797 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
798 : errmsg("could not parse array \"%s\": incorrect number of elements (same as \"%s\" required)",
799 : extarginfo[argindex].argname,
800 : extarginfo[MOST_COMMON_VALS_ARG].argname));
801 8 : return false;
802 : }
803 :
804 50 : return true;
805 : }
806 :
807 : /*
808 : * Create the stxdmcv datum from the equal-sized arrays of most common values,
809 : * their null flags, and the frequency and base frequency associated with
810 : * each value.
811 : */
812 : static Datum
813 39 : import_mcv(const ArrayType *mcv_arr, const ArrayType *freqs_arr,
814 : const ArrayType *base_freqs_arr, Oid *atttypids, int32 *atttypmods,
815 : Oid *atttypcolls, int numattrs, bool *ok)
816 : {
817 : int nitems;
818 : Datum *mcv_elems;
819 : bool *mcv_nulls;
820 : int check_nummcv;
821 39 : Datum mcv = (Datum) 0;
822 :
823 39 : *ok = false;
824 :
825 : /*
826 : * mcv_arr is an array of arrays. Each inner array must have the same
827 : * number of elements "numattrs".
828 : */
829 39 : if (ARR_NDIM(mcv_arr) != 2)
830 : {
831 4 : ereport(WARNING,
832 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
833 : errmsg("could not parse array \"%s\": incorrect number of dimensions (%d required)",
834 : extarginfo[MOST_COMMON_VALS_ARG].argname, 2));
835 4 : goto mcv_error;
836 : }
837 :
838 35 : if (ARR_DIMS(mcv_arr)[1] != numattrs)
839 : {
840 4 : ereport(WARNING,
841 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
842 : errmsg("could not parse array \"%s\": found %d attributes but expected %d",
843 : extarginfo[MOST_COMMON_VALS_ARG].argname,
844 : ARR_DIMS(mcv_arr)[1], numattrs));
845 4 : goto mcv_error;
846 : }
847 :
848 : /*
849 : * "most_common_freqs" and "most_common_base_freqs" arrays must be of the
850 : * same length, one-dimension and cannot contain NULLs. We use mcv_arr as
851 : * the reference array for determining their length.
852 : */
853 31 : nitems = ARR_DIMS(mcv_arr)[0];
854 31 : if (!check_mcvlist_array(freqs_arr, MOST_COMMON_FREQS_ARG, 1, nitems) ||
855 27 : !check_mcvlist_array(base_freqs_arr, MOST_COMMON_BASE_FREQS_ARG, 1, nitems))
856 : {
857 : /* inconsistent input arrays found */
858 8 : goto mcv_error;
859 : }
860 :
861 : /*
862 : * This part builds the contents for "most_common_val_nulls", based on the
863 : * values from "most_common_vals".
864 : */
865 23 : deconstruct_array_builtin(mcv_arr, TEXTOID, &mcv_elems,
866 : &mcv_nulls, &check_nummcv);
867 :
868 23 : mcv = statext_mcv_import(WARNING, numattrs,
869 : atttypids, atttypmods, atttypcolls,
870 : nitems, mcv_elems, mcv_nulls,
871 23 : (float8 *) ARR_DATA_PTR(freqs_arr),
872 23 : (float8 *) ARR_DATA_PTR(base_freqs_arr));
873 :
874 23 : *ok = (mcv != (Datum) 0);
875 :
876 39 : mcv_error:
877 39 : return mcv;
878 : }
879 :
880 : /*
881 : * Check if key is found in the list of expression argnames.
882 : */
883 : static bool
884 638 : key_in_expr_argnames(JsonbValue *key)
885 : {
886 : Assert(key->type == jbvString);
887 3762 : for (int i = 0; i < NUM_ATTRIBUTE_STATS_ELEMS; i++)
888 : {
889 3758 : if (strncmp(extexprargname[i], key->val.string.val, key->val.string.len) == 0)
890 634 : return true;
891 : }
892 4 : return false;
893 : }
894 :
895 : /*
896 : * Verify that all of the keys in the object are valid argnames.
897 : */
898 : static bool
899 199 : check_all_expr_argnames_valid(JsonbContainer *cont, AttrNumber exprnum)
900 : {
901 199 : bool all_keys_valid = true;
902 :
903 : JsonbIterator *jbit;
904 : JsonbIteratorToken jitok;
905 : JsonbValue jkey;
906 :
907 : Assert(JsonContainerIsObject(cont));
908 :
909 199 : jbit = JsonbIteratorInit(cont);
910 :
911 : /* We always start off with a BEGIN OBJECT */
912 199 : jitok = JsonbIteratorNext(&jbit, &jkey, false);
913 : Assert(jitok == WJB_BEGIN_OBJECT);
914 :
915 : while (true)
916 674 : {
917 : JsonbValue jval;
918 :
919 873 : jitok = JsonbIteratorNext(&jbit, &jkey, false);
920 :
921 : /*
922 : * We have run of keys. This is the only condition where it is
923 : * memory-safe to break out of the loop.
924 : */
925 873 : if (jitok == WJB_END_OBJECT)
926 199 : break;
927 :
928 : /* We can only find keys inside an object */
929 : Assert(jitok == WJB_KEY);
930 : Assert(jkey.type == jbvString);
931 :
932 : /* A value must follow the key */
933 674 : jitok = JsonbIteratorNext(&jbit, &jval, false);
934 : Assert(jitok == WJB_VALUE);
935 :
936 : /*
937 : * If we have already found an invalid key, there is no point in
938 : * looking for more, because additional WARNINGs are just clutter. We
939 : * must continue iterating over the json to ensure that we clean up
940 : * all allocated memory.
941 : */
942 674 : if (!all_keys_valid)
943 36 : continue;
944 :
945 638 : if (!key_in_expr_argnames(&jkey))
946 : {
947 4 : char *bad_element_name = jbv_string_get_cstr(&jkey);
948 :
949 4 : ereport(WARNING,
950 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
951 : errmsg("could not import element in expression %d: invalid key name",
952 : exprnum));
953 :
954 4 : pfree(bad_element_name);
955 4 : all_keys_valid = false;
956 : }
957 : }
958 199 : return all_keys_valid;
959 : }
960 :
961 : /*
962 : * Simple conversion of jbvString to cstring
963 : */
964 : static char *
965 430 : jbv_string_get_cstr(JsonbValue *jval)
966 : {
967 : char *s;
968 :
969 : Assert(jval->type == jbvString);
970 :
971 430 : s = palloc0(jval->val.string.len + 1);
972 430 : memcpy(s, jval->val.string.val, jval->val.string.len);
973 :
974 430 : return s;
975 : }
976 :
977 : /*
978 : * Apply a jbvString value to a safe scalar input function.
979 : */
980 : static bool
981 232 : jbv_to_infunc_datum(JsonbValue *jval, PGFunction func, AttrNumber exprnum,
982 : const char *argname, Datum *datum)
983 : {
984 232 : ErrorSaveContext escontext = {
985 : .type = T_ErrorSaveContext,
986 : .details_wanted = true
987 : };
988 :
989 232 : char *s = jbv_string_get_cstr(jval);
990 : bool ok;
991 :
992 232 : ok = DirectInputFunctionCallSafe(func, s, InvalidOid, -1,
993 : (Node *) &escontext, datum);
994 :
995 : /*
996 : * If we got a type import error, use the report generated and add an
997 : * error hint before throwing a warning.
998 : */
999 232 : if (!ok)
1000 : {
1001 : StringInfoData hint_str;
1002 :
1003 16 : initStringInfo(&hint_str);
1004 16 : appendStringInfo(&hint_str,
1005 : "Element \"%s\" in expression %d could not be parsed.",
1006 : argname, exprnum);
1007 :
1008 16 : escontext.error_data->elevel = WARNING;
1009 16 : escontext.error_data->hint = hint_str.data;
1010 :
1011 16 : ThrowErrorData(escontext.error_data);
1012 16 : pfree(hint_str.data);
1013 : }
1014 :
1015 232 : pfree(s);
1016 232 : return ok;
1017 : }
1018 :
1019 : /*
1020 : * Build an array datum with element type elemtypid from a text datum, used as
1021 : * value of an attribute in a pg_statistic tuple.
1022 : *
1023 : * If an error is encountered, capture it, and reduce the elevel to WARNING.
1024 : *
1025 : * This is an adaptation of statatt_build_stavalues().
1026 : */
1027 : static Datum
1028 194 : array_in_safe(FmgrInfo *array_in, const char *s, Oid typid, int32 typmod,
1029 : AttrNumber exprnum, const char *element_name, bool *ok)
1030 : {
1031 194 : LOCAL_FCINFO(fcinfo, 3);
1032 : Datum result;
1033 :
1034 194 : ErrorSaveContext escontext = {
1035 : .type = T_ErrorSaveContext,
1036 : .details_wanted = true
1037 : };
1038 :
1039 194 : *ok = false;
1040 194 : InitFunctionCallInfoData(*fcinfo, array_in, 3, InvalidOid,
1041 : (Node *) &escontext, NULL);
1042 :
1043 194 : fcinfo->args[0].value = CStringGetDatum(s);
1044 194 : fcinfo->args[0].isnull = false;
1045 194 : fcinfo->args[1].value = ObjectIdGetDatum(typid);
1046 194 : fcinfo->args[1].isnull = false;
1047 194 : fcinfo->args[2].value = Int32GetDatum(typmod);
1048 194 : fcinfo->args[2].isnull = false;
1049 :
1050 194 : result = FunctionCallInvoke(fcinfo);
1051 :
1052 : /*
1053 : * If the array_in function returned an error, we will want to report that
1054 : * ERROR as a WARNING, and add some location context to the error message.
1055 : * Overwriting the existing hint (if any) is not ideal, and an error
1056 : * context would only work for level >= ERROR.
1057 : */
1058 194 : if (escontext.error_occurred)
1059 : {
1060 : StringInfoData hint_str;
1061 :
1062 24 : initStringInfo(&hint_str);
1063 24 : appendStringInfo(&hint_str,
1064 : "Element \"%s\" in expression %d could not be parsed.",
1065 : element_name, exprnum);
1066 24 : escontext.error_data->elevel = WARNING;
1067 24 : escontext.error_data->hint = hint_str.data;
1068 24 : ThrowErrorData(escontext.error_data);
1069 24 : pfree(hint_str.data);
1070 24 : return (Datum) 0;
1071 : }
1072 :
1073 170 : if (array_contains_nulls(DatumGetArrayTypeP(result)))
1074 : {
1075 0 : ereport(WARNING,
1076 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1077 : errmsg("could not import element \"%s\" in expression %d: null value found",
1078 : element_name, exprnum));
1079 0 : return (Datum) 0;
1080 : }
1081 :
1082 170 : *ok = true;
1083 170 : return result;
1084 : }
1085 :
1086 : /*
1087 : * Create a pg_statistic tuple from an expression JSONB container.
1088 : *
1089 : * The pg_statistic tuple is pre-populated with acceptable defaults, therefore
1090 : * even if there is an issue with all of the keys in the container, we can
1091 : * still return a legit tuple datum.
1092 : *
1093 : * Set pg_statistic_ok to true if all of the values found in the container
1094 : * were imported without issue. pg_statistic_ok is swicthed to "true" once
1095 : * the full pg_statistic tuple has been built and validated.
1096 : */
1097 : static Datum
1098 207 : import_pg_statistic(Relation pgsd, JsonbContainer *cont,
1099 : AttrNumber exprnum, FmgrInfo *array_in_fn,
1100 : Oid typid, int32 typmod, Oid typcoll,
1101 : bool *pg_statistic_ok)
1102 : {
1103 207 : const char *argname = extarginfo[EXPRESSIONS_ARG].argname;
1104 : TypeCacheEntry *typcache;
1105 : Datum values[Natts_pg_statistic];
1106 : bool nulls[Natts_pg_statistic];
1107 : bool replaces[Natts_pg_statistic];
1108 207 : HeapTuple pgstup = NULL;
1109 207 : Datum pgstdat = (Datum) 0;
1110 207 : Oid elemtypid = InvalidOid;
1111 207 : Oid elemeqopr = InvalidOid;
1112 207 : bool found[NUM_ATTRIBUTE_STATS_ELEMS] = {0};
1113 207 : JsonbValue val[NUM_ATTRIBUTE_STATS_ELEMS] = {0};
1114 :
1115 : /* Assume the worst by default. */
1116 207 : *pg_statistic_ok = false;
1117 :
1118 207 : if (!JsonContainerIsObject(cont))
1119 : {
1120 4 : ereport(WARNING,
1121 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1122 : errmsg("could not parse \"%s\": invalid element in expression %d",
1123 : argname, exprnum));
1124 4 : goto pg_statistic_error;
1125 : }
1126 :
1127 : /*
1128 : * Loop through all keys that we need to look up. If any value found is
1129 : * neither a string nor a NULL, there is not much we can do, so just give
1130 : * on the entire tuple for this expression.
1131 : */
1132 2790 : for (int i = 0; i < NUM_ATTRIBUTE_STATS_ELEMS; i++)
1133 : {
1134 2591 : const char *s = extexprargname[i];
1135 2591 : int len = strlen(s);
1136 :
1137 2591 : if (getKeyJsonValueFromContainer(cont, s, len, &val[i]) == NULL)
1138 1917 : continue;
1139 :
1140 674 : switch (val[i].type)
1141 : {
1142 550 : case jbvString:
1143 550 : found[i] = true;
1144 550 : break;
1145 :
1146 120 : case jbvNull:
1147 120 : break;
1148 :
1149 4 : default:
1150 4 : ereport(WARNING,
1151 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1152 : errmsg("could not parse \"%s\": invalid element in expression %d", argname, exprnum),
1153 : errhint("Value of element \"%s\" must be type a null or a string.", s));
1154 4 : goto pg_statistic_error;
1155 : }
1156 : }
1157 :
1158 : /* Look for invalid keys */
1159 199 : if (!check_all_expr_argnames_valid(cont, exprnum))
1160 4 : goto pg_statistic_error;
1161 :
1162 : /*
1163 : * There are two arg pairs, MCV+MCF and MCEV+MCEF. Both values must
1164 : * either be found or not be found. Any disagreement is a warning. Once
1165 : * we have ruled out disagreeing pairs, we can use either found flag as a
1166 : * proxy for the other.
1167 : */
1168 195 : if (found[MOST_COMMON_VALS_ELEM] != found[MOST_COMMON_FREQS_ELEM])
1169 : {
1170 16 : ereport(WARNING,
1171 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1172 : errmsg("could not parse \"%s\": invalid element in expression %d",
1173 : argname, exprnum),
1174 : errhint("\"%s\" and \"%s\" must be both either strings or nulls.",
1175 : extexprargname[MOST_COMMON_VALS_ELEM],
1176 : extexprargname[MOST_COMMON_FREQS_ELEM]));
1177 16 : goto pg_statistic_error;
1178 : }
1179 179 : if (found[MOST_COMMON_ELEMS_ELEM] != found[MOST_COMMON_ELEM_FREQS_ELEM])
1180 : {
1181 16 : ereport(WARNING,
1182 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1183 : errmsg("could not parse \"%s\": invalid element in expression %d",
1184 : argname, exprnum),
1185 : errhint("\"%s\" and \"%s\" must be both either strings or nulls.",
1186 : extexprargname[MOST_COMMON_ELEMS_ELEM],
1187 : extexprargname[MOST_COMMON_ELEM_FREQS_ELEM]));
1188 16 : goto pg_statistic_error;
1189 : }
1190 :
1191 : /*
1192 : * Range types may expect three values to be set. All three of them must
1193 : * either be found or not be found. Any disagreement is a warning.
1194 : */
1195 163 : if (found[RANGE_LENGTH_HISTOGRAM_ELEM] != found[RANGE_EMPTY_FRAC_ELEM] ||
1196 155 : found[RANGE_LENGTH_HISTOGRAM_ELEM] != found[RANGE_BOUNDS_HISTOGRAM_ELEM])
1197 : {
1198 16 : ereport(WARNING,
1199 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1200 : errmsg("could not parse \"%s\": invalid element in expression %d",
1201 : argname, exprnum),
1202 : errhint("\"%s\", \"%s\", and \"%s\" must be all either strings or all nulls.",
1203 : extexprargname[RANGE_LENGTH_HISTOGRAM_ELEM],
1204 : extexprargname[RANGE_EMPTY_FRAC_ELEM],
1205 : extexprargname[RANGE_BOUNDS_HISTOGRAM_ELEM]));
1206 16 : goto pg_statistic_error;
1207 : }
1208 :
1209 : /* This finds the right operators even if atttypid is a domain */
1210 147 : typcache = lookup_type_cache(typid, TYPECACHE_LT_OPR | TYPECACHE_EQ_OPR);
1211 :
1212 147 : statatt_init_empty_tuple(InvalidOid, InvalidAttrNumber, false,
1213 : values, nulls, replaces);
1214 :
1215 : /*
1216 : * Special case: collation for tsvector is DEFAULT_COLLATION_OID. See
1217 : * compute_tsvector_stats().
1218 : */
1219 147 : if (typid == TSVECTOROID)
1220 4 : typcoll = DEFAULT_COLLATION_OID;
1221 :
1222 : /*
1223 : * We only need to fetch element type and eq operator if we have a stat of
1224 : * type MCELEM or DECHIST, otherwise the values are unnecessary and not
1225 : * meaningful.
1226 : */
1227 147 : if (found[MOST_COMMON_ELEMS_ELEM] || found[ELEM_COUNT_HISTOGRAM_ELEM])
1228 : {
1229 28 : if (!statatt_get_elem_type(typid, typcache->typtype,
1230 : &elemtypid, &elemeqopr))
1231 : {
1232 8 : ereport(WARNING,
1233 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1234 : errmsg("could not parse \"%s\": invalid element type in expression %d",
1235 : argname, exprnum));
1236 8 : goto pg_statistic_error;
1237 : }
1238 : }
1239 :
1240 : /*
1241 : * These three fields can only be set if dealing with a range or
1242 : * multi-range type.
1243 : */
1244 139 : if (found[RANGE_LENGTH_HISTOGRAM_ELEM] ||
1245 127 : found[RANGE_EMPTY_FRAC_ELEM] ||
1246 127 : found[RANGE_BOUNDS_HISTOGRAM_ELEM])
1247 : {
1248 12 : if (typcache->typtype != TYPTYPE_RANGE &&
1249 12 : typcache->typtype != TYPTYPE_MULTIRANGE)
1250 : {
1251 4 : ereport(WARNING,
1252 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1253 : errmsg("could not parse \"%s\": invalid data in expression %d",
1254 : argname, exprnum),
1255 : errhint("\"%s\", \"%s\", and \"%s\" can only be set for a range type.",
1256 : extexprargname[RANGE_LENGTH_HISTOGRAM_ELEM],
1257 : extexprargname[RANGE_EMPTY_FRAC_ELEM],
1258 : extexprargname[RANGE_BOUNDS_HISTOGRAM_ELEM]));
1259 4 : goto pg_statistic_error;
1260 : }
1261 : }
1262 :
1263 : /* null_frac */
1264 135 : if (found[NULL_FRAC_ELEM])
1265 : {
1266 : Datum datum;
1267 :
1268 63 : if (jbv_to_infunc_datum(&val[NULL_FRAC_ELEM], float4in, exprnum,
1269 : extexprargname[NULL_FRAC_ELEM], &datum))
1270 59 : values[Anum_pg_statistic_stanullfrac - 1] = datum;
1271 : else
1272 4 : goto pg_statistic_error;
1273 : }
1274 :
1275 : /* avg_width */
1276 131 : if (found[AVG_WIDTH_ELEM])
1277 : {
1278 : Datum datum;
1279 :
1280 59 : if (jbv_to_infunc_datum(&val[AVG_WIDTH_ELEM], int4in, exprnum,
1281 : extexprargname[AVG_WIDTH_ELEM], &datum))
1282 55 : values[Anum_pg_statistic_stawidth - 1] = datum;
1283 : else
1284 4 : goto pg_statistic_error;
1285 : }
1286 :
1287 : /* n_distinct */
1288 127 : if (found[N_DISTINCT_ELEM])
1289 : {
1290 : Datum datum;
1291 :
1292 59 : if (jbv_to_infunc_datum(&val[N_DISTINCT_ELEM], float4in, exprnum,
1293 : extexprargname[N_DISTINCT_ELEM], &datum))
1294 55 : values[Anum_pg_statistic_stadistinct - 1] = datum;
1295 : else
1296 4 : goto pg_statistic_error;
1297 : }
1298 :
1299 : /*
1300 : * The STAKIND statistics are the same as the ones found in attribute
1301 : * stats. However, these are all derived from json strings, whereas the
1302 : * ones derived for attribute stats are a mix of datatypes. This limits
1303 : * the opportunities for code sharing between the two.
1304 : *
1305 : * Some statistic kinds have both a stanumbers and a stavalues components.
1306 : * In those cases, both values must either be NOT NULL or both NULL, and
1307 : * if they aren't then we need to reject that stakind completely.
1308 : * Currently we go a step further and reject the expression array
1309 : * completely.
1310 : *
1311 : * Once it is established that the pairs are in NULL/NOT-NULL alignment,
1312 : * we can test either expr_nulls[] value to see if the stakind has
1313 : * value(s) that we can set or not.
1314 : */
1315 :
1316 123 : if (found[MOST_COMMON_VALS_ELEM])
1317 : {
1318 : Datum stavalues;
1319 : Datum stanumbers;
1320 59 : bool val_ok = false;
1321 59 : bool num_ok = false;
1322 : char *s;
1323 :
1324 59 : s = jbv_string_get_cstr(&val[MOST_COMMON_VALS_ELEM]);
1325 59 : stavalues = array_in_safe(array_in_fn, s, typid, typmod, exprnum,
1326 : extexprargname[MOST_COMMON_VALS_ELEM],
1327 : &val_ok);
1328 :
1329 59 : pfree(s);
1330 :
1331 59 : s = jbv_string_get_cstr(&val[MOST_COMMON_FREQS_ELEM]);
1332 59 : stanumbers = array_in_safe(array_in_fn, s, FLOAT4OID, -1, exprnum,
1333 : extexprargname[MOST_COMMON_FREQS_ELEM],
1334 : &num_ok);
1335 59 : pfree(s);
1336 :
1337 : /* Only set the slot if both datums have been built */
1338 59 : if (val_ok && num_ok)
1339 51 : statatt_set_slot(values, nulls, replaces,
1340 : STATISTIC_KIND_MCV,
1341 : typcache->eq_opr, typcoll,
1342 : stanumbers, false, stavalues, false);
1343 : else
1344 8 : goto pg_statistic_error;
1345 : }
1346 :
1347 : /* STATISTIC_KIND_HISTOGRAM */
1348 115 : if (found[HISTOGRAM_BOUNDS_ELEM])
1349 : {
1350 : Datum stavalues;
1351 20 : bool val_ok = false;
1352 20 : char *s = jbv_string_get_cstr(&val[HISTOGRAM_BOUNDS_ELEM]);
1353 :
1354 20 : stavalues = array_in_safe(array_in_fn, s, typid, typmod, exprnum,
1355 : extexprargname[HISTOGRAM_BOUNDS_ELEM],
1356 : &val_ok);
1357 20 : pfree(s);
1358 :
1359 20 : if (val_ok)
1360 16 : statatt_set_slot(values, nulls, replaces,
1361 : STATISTIC_KIND_HISTOGRAM,
1362 : typcache->lt_opr, typcoll,
1363 : 0, true, stavalues, false);
1364 : else
1365 4 : goto pg_statistic_error;
1366 : }
1367 :
1368 : /* STATISTIC_KIND_CORRELATION */
1369 111 : if (found[CORRELATION_ELEM])
1370 : {
1371 43 : Datum corr[] = {(Datum) 0};
1372 :
1373 43 : if (jbv_to_infunc_datum(&val[CORRELATION_ELEM], float4in, exprnum,
1374 : extexprargname[CORRELATION_ELEM], &corr[0]))
1375 : {
1376 39 : ArrayType *arry = construct_array_builtin(corr, 1, FLOAT4OID);
1377 39 : Datum stanumbers = PointerGetDatum(arry);
1378 :
1379 39 : statatt_set_slot(values, nulls, replaces,
1380 : STATISTIC_KIND_CORRELATION,
1381 : typcache->lt_opr, typcoll,
1382 : stanumbers, false, 0, true);
1383 : }
1384 : else
1385 4 : goto pg_statistic_error;
1386 : }
1387 :
1388 : /* STATISTIC_KIND_MCELEM */
1389 107 : if (found[MOST_COMMON_ELEMS_ELEM])
1390 : {
1391 : Datum stavalues;
1392 : Datum stanumbers;
1393 16 : bool val_ok = false;
1394 16 : bool num_ok = false;
1395 : char *s;
1396 :
1397 16 : s = jbv_string_get_cstr(&val[MOST_COMMON_ELEMS_ELEM]);
1398 16 : stavalues = array_in_safe(array_in_fn, s, elemtypid, typmod, exprnum,
1399 : extexprargname[MOST_COMMON_ELEMS_ELEM],
1400 : &val_ok);
1401 16 : pfree(s);
1402 :
1403 :
1404 16 : s = jbv_string_get_cstr(&val[MOST_COMMON_ELEM_FREQS_ELEM]);
1405 16 : stanumbers = array_in_safe(array_in_fn, s, FLOAT4OID, -1, exprnum,
1406 : extexprargname[MOST_COMMON_ELEM_FREQS_ELEM],
1407 : &num_ok);
1408 16 : pfree(s);
1409 :
1410 : /* Only set the slot if both datums have been built */
1411 16 : if (val_ok && num_ok)
1412 8 : statatt_set_slot(values, nulls, replaces,
1413 : STATISTIC_KIND_MCELEM,
1414 : elemeqopr, typcoll,
1415 : stanumbers, false, stavalues, false);
1416 : else
1417 8 : goto pg_statistic_error;
1418 : }
1419 :
1420 : /* STATISTIC_KIND_DECHIST */
1421 99 : if (found[ELEM_COUNT_HISTOGRAM_ELEM])
1422 : {
1423 : Datum stanumbers;
1424 8 : bool num_ok = false;
1425 : char *s;
1426 :
1427 8 : s = jbv_string_get_cstr(&val[ELEM_COUNT_HISTOGRAM_ELEM]);
1428 8 : stanumbers = array_in_safe(array_in_fn, s, FLOAT4OID, -1, exprnum,
1429 : extexprargname[ELEM_COUNT_HISTOGRAM_ELEM],
1430 : &num_ok);
1431 8 : pfree(s);
1432 :
1433 8 : if (num_ok)
1434 4 : statatt_set_slot(values, nulls, replaces, STATISTIC_KIND_DECHIST,
1435 : elemeqopr, typcoll, stanumbers, false, 0, true);
1436 : else
1437 4 : goto pg_statistic_error;
1438 : }
1439 :
1440 : /*
1441 : * STATISTIC_KIND_BOUNDS_HISTOGRAM
1442 : *
1443 : * This stakind appears before STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM even
1444 : * though it is numerically greater, and all other stakinds appear in
1445 : * numerical order.
1446 : */
1447 95 : if (found[RANGE_BOUNDS_HISTOGRAM_ELEM])
1448 : {
1449 : Datum stavalues;
1450 8 : bool val_ok = false;
1451 : char *s;
1452 8 : Oid rtypid = typid;
1453 :
1454 : /*
1455 : * If it's a multirange, step down to the range type, as is done by
1456 : * multirange_typanalyze().
1457 : */
1458 8 : if (type_is_multirange(typid))
1459 8 : rtypid = get_multirange_range(typid);
1460 :
1461 8 : s = jbv_string_get_cstr(&val[RANGE_BOUNDS_HISTOGRAM_ELEM]);
1462 :
1463 8 : stavalues = array_in_safe(array_in_fn, s, rtypid, typmod, exprnum,
1464 : extexprargname[RANGE_BOUNDS_HISTOGRAM_ELEM],
1465 : &val_ok);
1466 :
1467 8 : if (val_ok)
1468 8 : statatt_set_slot(values, nulls, replaces,
1469 : STATISTIC_KIND_BOUNDS_HISTOGRAM,
1470 : InvalidOid, InvalidOid,
1471 : 0, true, stavalues, false);
1472 : else
1473 0 : goto pg_statistic_error;
1474 : }
1475 :
1476 : /* STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM */
1477 95 : if (found[RANGE_LENGTH_HISTOGRAM_ELEM])
1478 : {
1479 8 : Datum empty_frac[] = {(Datum) 0};
1480 : Datum stavalues;
1481 : Datum stanumbers;
1482 8 : bool val_ok = false;
1483 : char *s;
1484 :
1485 8 : if (jbv_to_infunc_datum(&val[RANGE_EMPTY_FRAC_ELEM], float4in, exprnum,
1486 : extexprargname[RANGE_EMPTY_FRAC_ELEM], &empty_frac[0]))
1487 : {
1488 8 : ArrayType *arry = construct_array_builtin(empty_frac, 1, FLOAT4OID);
1489 :
1490 8 : stanumbers = PointerGetDatum(arry);
1491 : }
1492 : else
1493 0 : goto pg_statistic_error;
1494 :
1495 8 : s = jbv_string_get_cstr(&val[RANGE_LENGTH_HISTOGRAM_ELEM]);
1496 8 : stavalues = array_in_safe(array_in_fn, s, FLOAT8OID, -1, exprnum,
1497 : extexprargname[RANGE_LENGTH_HISTOGRAM_ELEM],
1498 : &val_ok);
1499 :
1500 8 : if (val_ok)
1501 8 : statatt_set_slot(values, nulls, replaces,
1502 : STATISTIC_KIND_RANGE_LENGTH_HISTOGRAM,
1503 : Float8LessOperator, InvalidOid,
1504 : stanumbers, false, stavalues, false);
1505 : else
1506 0 : goto pg_statistic_error;
1507 : }
1508 :
1509 95 : pgstup = heap_form_tuple(RelationGetDescr(pgsd), values, nulls);
1510 95 : pgstdat = heap_copy_tuple_as_datum(pgstup, RelationGetDescr(pgsd));
1511 :
1512 95 : heap_freetuple(pgstup);
1513 :
1514 95 : *pg_statistic_ok = true;
1515 :
1516 95 : return pgstdat;
1517 :
1518 112 : pg_statistic_error:
1519 112 : return (Datum) 0;
1520 : }
1521 :
1522 : /*
1523 : * Create the stxdexpr datum, which is an array of pg_statistic rows with all
1524 : * of the object identification fields left at defaults, using the json array
1525 : * of objects/nulls referenced against the datatypes for the expressions.
1526 : *
1527 : * The exprs_is_perfect will be set to true if all pg_statistic rows were
1528 : * imported cleanly. If any of them experienced a problem (and thus were
1529 : * set as if they were null), then the expression is kept but exprs_is_perfect
1530 : * will be marked as false.
1531 : *
1532 : * This datum is needed to fill out a complete pg_statistic_ext_data tuple.
1533 : */
1534 : static Datum
1535 161 : import_expressions(Relation pgsd, int numexprs,
1536 : Oid *atttypids, int32 *atttypmods,
1537 : Oid *atttypcolls, Jsonb *exprs_jsonb,
1538 : bool *exprs_is_perfect)
1539 : {
1540 161 : const char *argname = extarginfo[EXPRESSIONS_ARG].argname;
1541 161 : Oid pgstypoid = get_rel_type_id(StatisticRelationId);
1542 161 : ArrayBuildState *astate = NULL;
1543 161 : Datum result = (Datum) 0;
1544 161 : int num_import_ok = 0;
1545 : JsonbContainer *root;
1546 : int num_root_elements;
1547 :
1548 : FmgrInfo array_in_fn;
1549 :
1550 161 : *exprs_is_perfect = false;
1551 :
1552 : /* Json schema must be [{expr},...] */
1553 161 : if (!JB_ROOT_IS_ARRAY(exprs_jsonb))
1554 : {
1555 4 : ereport(WARNING,
1556 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1557 : errmsg("could not parse \"%s\": root-level array required", argname));
1558 4 : goto exprs_error;
1559 : }
1560 :
1561 157 : root = &exprs_jsonb->root;
1562 :
1563 : /*
1564 : * The number of elements in the array must match the number of
1565 : * expressions in the stats object definition.
1566 : */
1567 157 : num_root_elements = JsonContainerSize(root);
1568 157 : if (numexprs != num_root_elements)
1569 : {
1570 4 : ereport(WARNING,
1571 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1572 : errmsg("could not parse \"%s\": incorrect number of elements (%d required)",
1573 : argname, num_root_elements));
1574 4 : goto exprs_error;
1575 : }
1576 :
1577 153 : fmgr_info(F_ARRAY_IN, &array_in_fn);
1578 :
1579 : /*
1580 : * Iterate over each expected expression object in the array. Some of
1581 : * them could be null. If the element is a completely wrong data type,
1582 : * give a WARNING and then treat the element like a NULL element in the
1583 : * result array.
1584 : *
1585 : * Each expression *MUST* have a value appended in the result pg_statistic
1586 : * array.
1587 : */
1588 388 : for (int i = 0; i < numexprs; i++)
1589 : {
1590 239 : Datum pgstdat = (Datum) 0;
1591 239 : bool isnull = false;
1592 239 : AttrNumber exprattnum = -1 - i;
1593 :
1594 239 : JsonbValue *elem = getIthJsonbValueFromContainer(root, i);
1595 :
1596 239 : switch (elem->type)
1597 : {
1598 207 : case jbvBinary:
1599 : {
1600 207 : bool sta_ok = false;
1601 :
1602 : /* a real stats object */
1603 207 : pgstdat = import_pg_statistic(pgsd, elem->val.binary.data,
1604 : exprattnum, &array_in_fn,
1605 207 : atttypids[i], atttypmods[i],
1606 207 : atttypcolls[i], &sta_ok);
1607 :
1608 : /*
1609 : * If some incorrect data has been found, assign NULL for
1610 : * this expression as a mean to give up.
1611 : */
1612 207 : if (sta_ok)
1613 95 : num_import_ok++;
1614 : else
1615 : {
1616 112 : isnull = true;
1617 112 : pgstdat = (Datum) 0;
1618 : }
1619 : }
1620 207 : break;
1621 :
1622 28 : case jbvNull:
1623 : /* NULL placeholder for invalid data, still fine */
1624 28 : isnull = true;
1625 28 : num_import_ok++;
1626 28 : break;
1627 :
1628 4 : default:
1629 : /* cannot possibly be valid */
1630 4 : ereport(WARNING,
1631 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1632 : errmsg("could not parse \"%s\": invalid element in expression %d",
1633 : argname, exprattnum));
1634 4 : goto exprs_error;
1635 : }
1636 :
1637 235 : astate = accumArrayResult(astate, pgstdat, isnull, pgstypoid,
1638 : CurrentMemoryContext);
1639 : }
1640 :
1641 : /*
1642 : * The expressions datum is perfect *if and only if* all of the
1643 : * pg_statistic elements were also ok, for a number of elements equal to
1644 : * the number of expressions. Anything else means a failure in restoring
1645 : * the data of this statistics object.
1646 : */
1647 149 : *exprs_is_perfect = (num_import_ok == numexprs);
1648 :
1649 149 : if (astate != NULL)
1650 149 : result = makeArrayResult(astate, CurrentMemoryContext);
1651 :
1652 149 : return result;
1653 :
1654 12 : exprs_error:
1655 12 : if (astate != NULL)
1656 0 : pfree(astate);
1657 12 : return (Datum) 0;
1658 : };
1659 :
1660 : /*
1661 : * Remove an existing pg_statistic_ext_data row for a given pg_statistic_ext
1662 : * row and "inherited" pair.
1663 : */
1664 : static bool
1665 12 : delete_pg_statistic_ext_data(Oid stxoid, bool inherited)
1666 : {
1667 12 : Relation sed = table_open(StatisticExtDataRelationId, RowExclusiveLock);
1668 : HeapTuple oldtup;
1669 12 : bool result = false;
1670 :
1671 : /* Is there already a pg_statistic_ext_data tuple for this attribute? */
1672 12 : oldtup = SearchSysCache2(STATEXTDATASTXOID,
1673 : ObjectIdGetDatum(stxoid),
1674 : BoolGetDatum(inherited));
1675 :
1676 12 : if (HeapTupleIsValid(oldtup))
1677 : {
1678 8 : CatalogTupleDelete(sed, &oldtup->t_self);
1679 8 : ReleaseSysCache(oldtup);
1680 8 : result = true;
1681 : }
1682 :
1683 12 : table_close(sed, RowExclusiveLock);
1684 :
1685 12 : CommandCounterIncrement();
1686 :
1687 12 : return result;
1688 : }
1689 :
1690 : /*
1691 : * Restore (insert or replace) statistics for the given statistics object.
1692 : *
1693 : * This function accepts variadic arguments in key-value pairs, which are
1694 : * given to stats_fill_fcinfo_from_arg_pairs to be mapped into positional
1695 : * arguments.
1696 : */
1697 : Datum
1698 296 : pg_restore_extended_stats(PG_FUNCTION_ARGS)
1699 : {
1700 296 : LOCAL_FCINFO(positional_fcinfo, NUM_EXTENDED_STATS_ARGS);
1701 296 : bool result = true;
1702 :
1703 296 : InitFunctionCallInfoData(*positional_fcinfo, NULL, NUM_EXTENDED_STATS_ARGS,
1704 : InvalidOid, NULL, NULL);
1705 :
1706 296 : if (!stats_fill_fcinfo_from_arg_pairs(fcinfo, positional_fcinfo, extarginfo))
1707 0 : result = false;
1708 :
1709 296 : if (!extended_statistics_update(positional_fcinfo))
1710 196 : result = false;
1711 :
1712 264 : PG_RETURN_BOOL(result);
1713 : }
1714 :
1715 : /*
1716 : * Delete statistics for the given statistics object.
1717 : */
1718 : Datum
1719 56 : pg_clear_extended_stats(PG_FUNCTION_ARGS)
1720 : {
1721 : char *relnspname;
1722 : char *relname;
1723 : char *nspname;
1724 : Oid nspoid;
1725 : Oid relid;
1726 : char *stxname;
1727 : bool inherited;
1728 : Relation pg_stext;
1729 : HeapTuple tup;
1730 : Form_pg_statistic_ext stxform;
1731 56 : Oid locked_table = InvalidOid;
1732 :
1733 : /* relation arguments */
1734 56 : stats_check_required_arg(fcinfo, extarginfo, RELSCHEMA_ARG);
1735 52 : relnspname = TextDatumGetCString(PG_GETARG_DATUM(RELSCHEMA_ARG));
1736 52 : stats_check_required_arg(fcinfo, extarginfo, RELNAME_ARG);
1737 48 : relname = TextDatumGetCString(PG_GETARG_DATUM(RELNAME_ARG));
1738 :
1739 : /* extended statistics arguments */
1740 48 : stats_check_required_arg(fcinfo, extarginfo, STATSCHEMA_ARG);
1741 44 : nspname = TextDatumGetCString(PG_GETARG_DATUM(STATSCHEMA_ARG));
1742 44 : stats_check_required_arg(fcinfo, extarginfo, STATNAME_ARG);
1743 40 : stxname = TextDatumGetCString(PG_GETARG_DATUM(STATNAME_ARG));
1744 40 : stats_check_required_arg(fcinfo, extarginfo, INHERITED_ARG);
1745 36 : inherited = PG_GETARG_BOOL(INHERITED_ARG);
1746 :
1747 36 : if (RecoveryInProgress())
1748 : {
1749 0 : ereport(WARNING,
1750 : errcode(ERRCODE_OBJECT_NOT_IN_PREREQUISITE_STATE),
1751 : errmsg("recovery is in progress"),
1752 : errhint("Statistics cannot be modified during recovery."));
1753 0 : PG_RETURN_VOID();
1754 : }
1755 :
1756 : /*
1757 : * First open the relation where we expect to find the statistics. This
1758 : * is similar to relation and attribute statistics, so as ACL checks are
1759 : * done before any locks are taken, even before any attempts related to
1760 : * the extended stats object.
1761 : */
1762 36 : relid = RangeVarGetRelidExtended(makeRangeVar(relnspname, relname, -1),
1763 : ShareUpdateExclusiveLock, 0,
1764 : RangeVarCallbackForStats, &locked_table);
1765 :
1766 : /* Now check if the namespace of the stats object exists. */
1767 24 : nspoid = get_namespace_oid(nspname, true);
1768 24 : if (nspoid == InvalidOid)
1769 : {
1770 4 : ereport(WARNING,
1771 : errcode(ERRCODE_UNDEFINED_OBJECT),
1772 : errmsg("could not find schema \"%s\"", nspname));
1773 4 : PG_RETURN_VOID();
1774 : }
1775 :
1776 20 : pg_stext = table_open(StatisticExtRelationId, RowExclusiveLock);
1777 20 : tup = get_pg_statistic_ext(pg_stext, nspoid, stxname);
1778 :
1779 20 : if (!HeapTupleIsValid(tup))
1780 : {
1781 4 : table_close(pg_stext, RowExclusiveLock);
1782 4 : ereport(WARNING,
1783 : errcode(ERRCODE_UNDEFINED_OBJECT),
1784 : errmsg("could not find extended statistics object \"%s.%s\"",
1785 : nspname, stxname));
1786 4 : PG_RETURN_VOID();
1787 : }
1788 :
1789 16 : stxform = (Form_pg_statistic_ext) GETSTRUCT(tup);
1790 :
1791 : /*
1792 : * This should be consistent, based on the lock taken on the table when we
1793 : * started.
1794 : */
1795 16 : if (stxform->stxrelid != relid)
1796 : {
1797 4 : table_close(pg_stext, RowExclusiveLock);
1798 4 : ereport(WARNING,
1799 : errcode(ERRCODE_INVALID_PARAMETER_VALUE),
1800 : errmsg("could not clear extended statistics object \"%s.%s\": incorrect relation \"%s.%s\" specified",
1801 : get_namespace_name(nspoid), stxname,
1802 : relnspname, relname));
1803 4 : PG_RETURN_VOID();
1804 : }
1805 :
1806 12 : delete_pg_statistic_ext_data(stxform->oid, inherited);
1807 12 : heap_freetuple(tup);
1808 :
1809 12 : table_close(pg_stext, RowExclusiveLock);
1810 :
1811 12 : PG_RETURN_VOID();
1812 : }
|
