/src/postgres/src/backend/executor/execGrouping.c
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1 | | /*------------------------------------------------------------------------- |
2 | | * |
3 | | * execGrouping.c |
4 | | * executor utility routines for grouping, hashing, and aggregation |
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/executor/execGrouping.c |
12 | | * |
13 | | *------------------------------------------------------------------------- |
14 | | */ |
15 | | #include "postgres.h" |
16 | | |
17 | | #include <math.h> |
18 | | |
19 | | #include "access/htup_details.h" |
20 | | #include "access/parallel.h" |
21 | | #include "common/hashfn.h" |
22 | | #include "executor/executor.h" |
23 | | #include "miscadmin.h" |
24 | | #include "utils/lsyscache.h" |
25 | | |
26 | | static int TupleHashTableMatch(struct tuplehash_hash *tb, MinimalTuple tuple1, MinimalTuple tuple2); |
27 | | static inline uint32 TupleHashTableHash_internal(struct tuplehash_hash *tb, |
28 | | MinimalTuple tuple); |
29 | | static inline TupleHashEntry LookupTupleHashEntry_internal(TupleHashTable hashtable, |
30 | | TupleTableSlot *slot, |
31 | | bool *isnew, uint32 hash); |
32 | | |
33 | | /* |
34 | | * Define parameters for tuple hash table code generation. The interface is |
35 | | * *also* declared in execnodes.h (to generate the types, which are externally |
36 | | * visible). |
37 | | */ |
38 | | #define SH_PREFIX tuplehash |
39 | 0 | #define SH_ELEMENT_TYPE TupleHashEntryData |
40 | | #define SH_KEY_TYPE MinimalTuple |
41 | 0 | #define SH_KEY firstTuple |
42 | 0 | #define SH_HASH_KEY(tb, key) TupleHashTableHash_internal(tb, key) |
43 | 0 | #define SH_EQUAL(tb, a, b) TupleHashTableMatch(tb, a, b) == 0 |
44 | | #define SH_SCOPE extern |
45 | | #define SH_STORE_HASH |
46 | 0 | #define SH_GET_HASH(tb, a) a->hash |
47 | | #define SH_DEFINE |
48 | | #include "lib/simplehash.h" |
49 | | |
50 | | |
51 | | /***************************************************************************** |
52 | | * Utility routines for grouping tuples together |
53 | | *****************************************************************************/ |
54 | | |
55 | | /* |
56 | | * execTuplesMatchPrepare |
57 | | * Build expression that can be evaluated using ExecQual(), returning |
58 | | * whether an ExprContext's inner/outer tuples are NOT DISTINCT |
59 | | */ |
60 | | ExprState * |
61 | | execTuplesMatchPrepare(TupleDesc desc, |
62 | | int numCols, |
63 | | const AttrNumber *keyColIdx, |
64 | | const Oid *eqOperators, |
65 | | const Oid *collations, |
66 | | PlanState *parent) |
67 | 0 | { |
68 | 0 | Oid *eqFunctions; |
69 | 0 | int i; |
70 | 0 | ExprState *expr; |
71 | |
|
72 | 0 | if (numCols == 0) |
73 | 0 | return NULL; |
74 | | |
75 | 0 | eqFunctions = (Oid *) palloc(numCols * sizeof(Oid)); |
76 | | |
77 | | /* lookup equality functions */ |
78 | 0 | for (i = 0; i < numCols; i++) |
79 | 0 | eqFunctions[i] = get_opcode(eqOperators[i]); |
80 | | |
81 | | /* build actual expression */ |
82 | 0 | expr = ExecBuildGroupingEqual(desc, desc, NULL, NULL, |
83 | 0 | numCols, keyColIdx, eqFunctions, collations, |
84 | 0 | parent); |
85 | |
|
86 | 0 | return expr; |
87 | 0 | } |
88 | | |
89 | | /* |
90 | | * execTuplesHashPrepare |
91 | | * Look up the equality and hashing functions needed for a TupleHashTable. |
92 | | * |
93 | | * This is similar to execTuplesMatchPrepare, but we also need to find the |
94 | | * hash functions associated with the equality operators. *eqFunctions and |
95 | | * *hashFunctions receive the palloc'd result arrays. |
96 | | * |
97 | | * Note: we expect that the given operators are not cross-type comparisons. |
98 | | */ |
99 | | void |
100 | | execTuplesHashPrepare(int numCols, |
101 | | const Oid *eqOperators, |
102 | | Oid **eqFuncOids, |
103 | | FmgrInfo **hashFunctions) |
104 | 0 | { |
105 | 0 | int i; |
106 | |
|
107 | 0 | *eqFuncOids = (Oid *) palloc(numCols * sizeof(Oid)); |
108 | 0 | *hashFunctions = (FmgrInfo *) palloc(numCols * sizeof(FmgrInfo)); |
109 | |
|
110 | 0 | for (i = 0; i < numCols; i++) |
111 | 0 | { |
112 | 0 | Oid eq_opr = eqOperators[i]; |
113 | 0 | Oid eq_function; |
114 | 0 | Oid left_hash_function; |
115 | 0 | Oid right_hash_function; |
116 | |
|
117 | 0 | eq_function = get_opcode(eq_opr); |
118 | 0 | if (!get_op_hash_functions(eq_opr, |
119 | 0 | &left_hash_function, &right_hash_function)) |
120 | 0 | elog(ERROR, "could not find hash function for hash operator %u", |
121 | 0 | eq_opr); |
122 | | /* We're not supporting cross-type cases here */ |
123 | 0 | Assert(left_hash_function == right_hash_function); |
124 | 0 | (*eqFuncOids)[i] = eq_function; |
125 | 0 | fmgr_info(right_hash_function, &(*hashFunctions)[i]); |
126 | 0 | } |
127 | 0 | } |
128 | | |
129 | | |
130 | | /***************************************************************************** |
131 | | * Utility routines for all-in-memory hash tables |
132 | | * |
133 | | * These routines build hash tables for grouping tuples together (eg, for |
134 | | * hash aggregation). There is one entry for each not-distinct set of tuples |
135 | | * presented. |
136 | | *****************************************************************************/ |
137 | | |
138 | | /* |
139 | | * Construct an empty TupleHashTable |
140 | | * |
141 | | * parent: PlanState node that will own this hash table |
142 | | * inputDesc: tuple descriptor for input tuples |
143 | | * inputOps: slot ops for input tuples, or NULL if unknown or not fixed |
144 | | * numCols: number of columns to be compared (length of next 4 arrays) |
145 | | * keyColIdx: indexes of tuple columns to compare |
146 | | * eqfuncoids: OIDs of equality comparison functions to use |
147 | | * hashfunctions: FmgrInfos of datatype-specific hashing functions to use |
148 | | * collations: collations to use in comparisons |
149 | | * nelements: initial estimate of hashtable size |
150 | | * additionalsize: size of data that may be stored along with the hash entry |
151 | | * metacxt: memory context for long-lived data and the simplehash table |
152 | | * tuplescxt: memory context in which to store the hashed tuples themselves |
153 | | * tempcxt: short-lived context for evaluation hash and comparison functions |
154 | | * use_variable_hash_iv: if true, adjust hash IV per-parallel-worker |
155 | | * |
156 | | * The hashfunctions array may be made with execTuplesHashPrepare(). Note they |
157 | | * are not cross-type functions, but expect to see the table datatype(s) |
158 | | * on both sides. |
159 | | * |
160 | | * Note that the keyColIdx, hashfunctions, and collations arrays must be |
161 | | * allocated in storage that will live as long as the hashtable does. |
162 | | * |
163 | | * The metacxt and tuplescxt are separate because it's usually desirable for |
164 | | * tuplescxt to be a BumpContext to avoid memory wastage, while metacxt must |
165 | | * support pfree in case the simplehash table needs to be enlarged. (We could |
166 | | * simplify the API of TupleHashTables by managing the tuplescxt internally. |
167 | | * But that would be disadvantageous to nodeAgg.c and nodeSubplan.c, which use |
168 | | * a single tuplescxt for multiple TupleHashTables that are reset together.) |
169 | | * |
170 | | * LookupTupleHashEntry, FindTupleHashEntry, and related functions may leak |
171 | | * memory in the tempcxt. It is caller's responsibility to reset that context |
172 | | * reasonably often, typically once per tuple. (We do it that way, rather |
173 | | * than managing an extra context within the hashtable, because in many cases |
174 | | * the caller can specify a tempcxt that it needs to reset per-tuple anyway.) |
175 | | * |
176 | | * We don't currently provide DestroyTupleHashTable functionality; the hash |
177 | | * table will be cleaned up at destruction of the metacxt. (Some callers |
178 | | * bother to delete the tuplescxt explicitly, though it'd be sufficient to |
179 | | * ensure it's a child of the metacxt.) There's not much point in working |
180 | | * harder than this so long as the expression-evaluation infrastructure |
181 | | * behaves similarly. |
182 | | */ |
183 | | TupleHashTable |
184 | | BuildTupleHashTable(PlanState *parent, |
185 | | TupleDesc inputDesc, |
186 | | const TupleTableSlotOps *inputOps, |
187 | | int numCols, |
188 | | AttrNumber *keyColIdx, |
189 | | const Oid *eqfuncoids, |
190 | | FmgrInfo *hashfunctions, |
191 | | Oid *collations, |
192 | | double nelements, |
193 | | Size additionalsize, |
194 | | MemoryContext metacxt, |
195 | | MemoryContext tuplescxt, |
196 | | MemoryContext tempcxt, |
197 | | bool use_variable_hash_iv) |
198 | 0 | { |
199 | 0 | TupleHashTable hashtable; |
200 | 0 | uint32 nbuckets; |
201 | 0 | MemoryContext oldcontext; |
202 | 0 | uint32 hash_iv = 0; |
203 | | |
204 | | /* |
205 | | * tuplehash_create requires a uint32 element count, so we had better |
206 | | * clamp the given nelements to fit in that. As long as we have to do |
207 | | * that, we might as well protect against completely insane input like |
208 | | * zero or NaN. But it is not our job here to enforce issues like staying |
209 | | * within hash_mem: the caller should have done that, and we don't have |
210 | | * enough info to second-guess. |
211 | | */ |
212 | 0 | if (isnan(nelements) || nelements <= 0) |
213 | 0 | nbuckets = 1; |
214 | 0 | else if (nelements >= PG_UINT32_MAX) |
215 | 0 | nbuckets = PG_UINT32_MAX; |
216 | 0 | else |
217 | 0 | nbuckets = (uint32) nelements; |
218 | | |
219 | | /* tuplescxt must be separate, else ResetTupleHashTable breaks things */ |
220 | 0 | Assert(metacxt != tuplescxt); |
221 | | |
222 | | /* ensure additionalsize is maxalign'ed */ |
223 | 0 | additionalsize = MAXALIGN(additionalsize); |
224 | |
|
225 | 0 | oldcontext = MemoryContextSwitchTo(metacxt); |
226 | |
|
227 | 0 | hashtable = palloc_object(TupleHashTableData); |
228 | |
|
229 | 0 | hashtable->numCols = numCols; |
230 | 0 | hashtable->keyColIdx = keyColIdx; |
231 | 0 | hashtable->tab_collations = collations; |
232 | 0 | hashtable->tuplescxt = tuplescxt; |
233 | 0 | hashtable->tempcxt = tempcxt; |
234 | 0 | hashtable->additionalsize = additionalsize; |
235 | 0 | hashtable->tableslot = NULL; /* will be made on first lookup */ |
236 | 0 | hashtable->inputslot = NULL; |
237 | 0 | hashtable->in_hash_expr = NULL; |
238 | 0 | hashtable->cur_eq_func = NULL; |
239 | | |
240 | | /* |
241 | | * If parallelism is in use, even if the leader backend is performing the |
242 | | * scan itself, we don't want to create the hashtable exactly the same way |
243 | | * in all workers. As hashtables are iterated over in keyspace-order, |
244 | | * doing so in all processes in the same way is likely to lead to |
245 | | * "unbalanced" hashtables when the table size initially is |
246 | | * underestimated. |
247 | | */ |
248 | 0 | if (use_variable_hash_iv) |
249 | 0 | hash_iv = murmurhash32(ParallelWorkerNumber); |
250 | |
|
251 | 0 | hashtable->hashtab = tuplehash_create(metacxt, nbuckets, hashtable); |
252 | | |
253 | | /* |
254 | | * We copy the input tuple descriptor just for safety --- we assume all |
255 | | * input tuples will have equivalent descriptors. |
256 | | */ |
257 | 0 | hashtable->tableslot = MakeSingleTupleTableSlot(CreateTupleDescCopy(inputDesc), |
258 | 0 | &TTSOpsMinimalTuple); |
259 | | |
260 | | /* build hash ExprState for all columns */ |
261 | 0 | hashtable->tab_hash_expr = ExecBuildHash32FromAttrs(inputDesc, |
262 | 0 | inputOps, |
263 | 0 | hashfunctions, |
264 | 0 | collations, |
265 | 0 | numCols, |
266 | 0 | keyColIdx, |
267 | 0 | parent, |
268 | 0 | hash_iv); |
269 | | |
270 | | /* build comparator for all columns */ |
271 | 0 | hashtable->tab_eq_func = ExecBuildGroupingEqual(inputDesc, inputDesc, |
272 | 0 | inputOps, |
273 | 0 | &TTSOpsMinimalTuple, |
274 | 0 | numCols, |
275 | 0 | keyColIdx, eqfuncoids, collations, |
276 | 0 | parent); |
277 | | |
278 | | /* |
279 | | * While not pretty, it's ok to not shut down this context, but instead |
280 | | * rely on the containing memory context being reset, as |
281 | | * ExecBuildGroupingEqual() only builds a very simple expression calling |
282 | | * functions (i.e. nothing that'd employ RegisterExprContextCallback()). |
283 | | */ |
284 | 0 | hashtable->exprcontext = CreateStandaloneExprContext(); |
285 | |
|
286 | 0 | MemoryContextSwitchTo(oldcontext); |
287 | |
|
288 | 0 | return hashtable; |
289 | 0 | } |
290 | | |
291 | | /* |
292 | | * Reset contents of the hashtable to be empty, preserving all the non-content |
293 | | * state. |
294 | | * |
295 | | * Note: in usages where several TupleHashTables share a tuplescxt, all must |
296 | | * be reset together, as the first one's reset call will destroy all their |
297 | | * data. The additional reset calls for the rest will redundantly reset the |
298 | | * tuplescxt. But because of mcxt.c's isReset flag, that's cheap enough that |
299 | | * we need not avoid it. |
300 | | */ |
301 | | void |
302 | | ResetTupleHashTable(TupleHashTable hashtable) |
303 | 0 | { |
304 | 0 | tuplehash_reset(hashtable->hashtab); |
305 | 0 | MemoryContextReset(hashtable->tuplescxt); |
306 | 0 | } |
307 | | |
308 | | /* |
309 | | * Estimate the amount of space needed for a TupleHashTable with nentries |
310 | | * entries, if the tuples have average data width tupleWidth and the caller |
311 | | * requires additionalsize extra space per entry. |
312 | | * |
313 | | * Return SIZE_MAX if it'd overflow size_t. |
314 | | * |
315 | | * nentries is "double" because this is meant for use by the planner, |
316 | | * which typically works with double rowcount estimates. So we'd need to |
317 | | * clamp to integer somewhere and that might as well be here. We do expect |
318 | | * the value not to be NaN or negative, else the result will be garbage. |
319 | | */ |
320 | | Size |
321 | | EstimateTupleHashTableSpace(double nentries, |
322 | | Size tupleWidth, |
323 | | Size additionalsize) |
324 | 0 | { |
325 | 0 | Size sh_space; |
326 | 0 | double tuples_space; |
327 | | |
328 | | /* First estimate the space needed for the simplehash table */ |
329 | 0 | sh_space = tuplehash_estimate_space(nentries); |
330 | | |
331 | | /* Give up if that's already too big */ |
332 | 0 | if (sh_space >= SIZE_MAX) |
333 | 0 | return sh_space; |
334 | | |
335 | | /* |
336 | | * Compute space needed for hashed tuples with additional data. nentries |
337 | | * must be somewhat sane, so it should be safe to compute this product. |
338 | | * |
339 | | * We assume that the hashed tuples will be kept in a BumpContext so that |
340 | | * there is not additional per-tuple overhead. |
341 | | * |
342 | | * (Note that this is only accurate if MEMORY_CONTEXT_CHECKING is off, |
343 | | * else bump.c will add a MemoryChunk header to each tuple. However, it |
344 | | * seems undesirable for debug builds to make different planning choices |
345 | | * than production builds, so we assume the production behavior always.) |
346 | | */ |
347 | 0 | tuples_space = nentries * (MAXALIGN(SizeofMinimalTupleHeader) + |
348 | 0 | MAXALIGN(tupleWidth) + |
349 | 0 | MAXALIGN(additionalsize)); |
350 | | |
351 | | /* |
352 | | * Check for size_t overflow. This coding is trickier than it may appear, |
353 | | * because on 64-bit machines SIZE_MAX cannot be represented exactly as a |
354 | | * double. We must cast it explicitly to suppress compiler warnings about |
355 | | * an inexact conversion, and we must trust that any double value that |
356 | | * compares strictly less than "(double) SIZE_MAX" will cast to a |
357 | | * representable size_t value. |
358 | | */ |
359 | 0 | if (sh_space + tuples_space >= (double) SIZE_MAX) |
360 | 0 | return SIZE_MAX; |
361 | | |
362 | | /* We don't bother estimating size of the miscellaneous overhead data */ |
363 | 0 | return (Size) (sh_space + tuples_space); |
364 | 0 | } |
365 | | |
366 | | /* |
367 | | * Find or create a hashtable entry for the tuple group containing the |
368 | | * given tuple. The tuple must be the same type as the hashtable entries. |
369 | | * |
370 | | * If isnew is NULL, we do not create new entries; we return NULL if no |
371 | | * match is found. |
372 | | * |
373 | | * If hash is not NULL, we set it to the calculated hash value. This allows |
374 | | * callers access to the hash value even if no entry is returned. |
375 | | * |
376 | | * If isnew isn't NULL, then a new entry is created if no existing entry |
377 | | * matches. On return, *isnew is true if the entry is newly created, |
378 | | * false if it existed already. The additional data in the new entry has |
379 | | * been zeroed. |
380 | | */ |
381 | | TupleHashEntry |
382 | | LookupTupleHashEntry(TupleHashTable hashtable, TupleTableSlot *slot, |
383 | | bool *isnew, uint32 *hash) |
384 | 0 | { |
385 | 0 | TupleHashEntry entry; |
386 | 0 | MemoryContext oldContext; |
387 | 0 | uint32 local_hash; |
388 | | |
389 | | /* Need to run the hash functions in short-lived context */ |
390 | 0 | oldContext = MemoryContextSwitchTo(hashtable->tempcxt); |
391 | | |
392 | | /* set up data needed by hash and match functions */ |
393 | 0 | hashtable->inputslot = slot; |
394 | 0 | hashtable->in_hash_expr = hashtable->tab_hash_expr; |
395 | 0 | hashtable->cur_eq_func = hashtable->tab_eq_func; |
396 | |
|
397 | 0 | local_hash = TupleHashTableHash_internal(hashtable->hashtab, NULL); |
398 | 0 | entry = LookupTupleHashEntry_internal(hashtable, slot, isnew, local_hash); |
399 | |
|
400 | 0 | if (hash != NULL) |
401 | 0 | *hash = local_hash; |
402 | |
|
403 | 0 | Assert(entry == NULL || entry->hash == local_hash); |
404 | |
|
405 | 0 | MemoryContextSwitchTo(oldContext); |
406 | |
|
407 | 0 | return entry; |
408 | 0 | } |
409 | | |
410 | | /* |
411 | | * Compute the hash value for a tuple |
412 | | */ |
413 | | uint32 |
414 | | TupleHashTableHash(TupleHashTable hashtable, TupleTableSlot *slot) |
415 | 0 | { |
416 | 0 | MemoryContext oldContext; |
417 | 0 | uint32 hash; |
418 | |
|
419 | 0 | hashtable->inputslot = slot; |
420 | 0 | hashtable->in_hash_expr = hashtable->tab_hash_expr; |
421 | | |
422 | | /* Need to run the hash functions in short-lived context */ |
423 | 0 | oldContext = MemoryContextSwitchTo(hashtable->tempcxt); |
424 | |
|
425 | 0 | hash = TupleHashTableHash_internal(hashtable->hashtab, NULL); |
426 | |
|
427 | 0 | MemoryContextSwitchTo(oldContext); |
428 | |
|
429 | 0 | return hash; |
430 | 0 | } |
431 | | |
432 | | /* |
433 | | * A variant of LookupTupleHashEntry for callers that have already computed |
434 | | * the hash value. |
435 | | */ |
436 | | TupleHashEntry |
437 | | LookupTupleHashEntryHash(TupleHashTable hashtable, TupleTableSlot *slot, |
438 | | bool *isnew, uint32 hash) |
439 | 0 | { |
440 | 0 | TupleHashEntry entry; |
441 | 0 | MemoryContext oldContext; |
442 | | |
443 | | /* Need to run the hash functions in short-lived context */ |
444 | 0 | oldContext = MemoryContextSwitchTo(hashtable->tempcxt); |
445 | | |
446 | | /* set up data needed by hash and match functions */ |
447 | 0 | hashtable->inputslot = slot; |
448 | 0 | hashtable->in_hash_expr = hashtable->tab_hash_expr; |
449 | 0 | hashtable->cur_eq_func = hashtable->tab_eq_func; |
450 | |
|
451 | 0 | entry = LookupTupleHashEntry_internal(hashtable, slot, isnew, hash); |
452 | 0 | Assert(entry == NULL || entry->hash == hash); |
453 | |
|
454 | 0 | MemoryContextSwitchTo(oldContext); |
455 | |
|
456 | 0 | return entry; |
457 | 0 | } |
458 | | |
459 | | /* |
460 | | * Search for a hashtable entry matching the given tuple. No entry is |
461 | | * created if there's not a match. This is similar to the non-creating |
462 | | * case of LookupTupleHashEntry, except that it supports cross-type |
463 | | * comparisons, in which the given tuple is not of the same type as the |
464 | | * table entries. The caller must provide the hash ExprState to use for |
465 | | * the input tuple, as well as the equality ExprState, since these may be |
466 | | * different from the table's internal functions. |
467 | | */ |
468 | | TupleHashEntry |
469 | | FindTupleHashEntry(TupleHashTable hashtable, TupleTableSlot *slot, |
470 | | ExprState *eqcomp, |
471 | | ExprState *hashexpr) |
472 | 0 | { |
473 | 0 | TupleHashEntry entry; |
474 | 0 | MemoryContext oldContext; |
475 | 0 | MinimalTuple key; |
476 | | |
477 | | /* Need to run the hash functions in short-lived context */ |
478 | 0 | oldContext = MemoryContextSwitchTo(hashtable->tempcxt); |
479 | | |
480 | | /* Set up data needed by hash and match functions */ |
481 | 0 | hashtable->inputslot = slot; |
482 | 0 | hashtable->in_hash_expr = hashexpr; |
483 | 0 | hashtable->cur_eq_func = eqcomp; |
484 | | |
485 | | /* Search the hash table */ |
486 | 0 | key = NULL; /* flag to reference inputslot */ |
487 | 0 | entry = tuplehash_lookup(hashtable->hashtab, key); |
488 | 0 | MemoryContextSwitchTo(oldContext); |
489 | |
|
490 | 0 | return entry; |
491 | 0 | } |
492 | | |
493 | | /* |
494 | | * If tuple is NULL, use the input slot instead. This convention avoids the |
495 | | * need to materialize virtual input tuples unless they actually need to get |
496 | | * copied into the table. |
497 | | * |
498 | | * Also, the caller must select an appropriate memory context for running |
499 | | * the hash functions. |
500 | | */ |
501 | | static uint32 |
502 | | TupleHashTableHash_internal(struct tuplehash_hash *tb, |
503 | | MinimalTuple tuple) |
504 | 0 | { |
505 | 0 | TupleHashTable hashtable = (TupleHashTable) tb->private_data; |
506 | 0 | uint32 hashkey; |
507 | 0 | TupleTableSlot *slot; |
508 | 0 | bool isnull; |
509 | |
|
510 | 0 | if (tuple == NULL) |
511 | 0 | { |
512 | | /* Process the current input tuple for the table */ |
513 | 0 | hashtable->exprcontext->ecxt_innertuple = hashtable->inputslot; |
514 | 0 | hashkey = DatumGetUInt32(ExecEvalExpr(hashtable->in_hash_expr, |
515 | 0 | hashtable->exprcontext, |
516 | 0 | &isnull)); |
517 | 0 | } |
518 | 0 | else |
519 | 0 | { |
520 | | /* |
521 | | * Process a tuple already stored in the table. |
522 | | * |
523 | | * (this case never actually occurs due to the way simplehash.h is |
524 | | * used, as the hash-value is stored in the entries) |
525 | | */ |
526 | 0 | slot = hashtable->exprcontext->ecxt_innertuple = hashtable->tableslot; |
527 | 0 | ExecStoreMinimalTuple(tuple, slot, false); |
528 | 0 | hashkey = DatumGetUInt32(ExecEvalExpr(hashtable->tab_hash_expr, |
529 | 0 | hashtable->exprcontext, |
530 | 0 | &isnull)); |
531 | 0 | } |
532 | | |
533 | | /* |
534 | | * The hashing done above, even with an initial value, doesn't tend to |
535 | | * result in good hash perturbation. Running the value produced above |
536 | | * through murmurhash32 leads to near perfect hash perturbation. |
537 | | */ |
538 | 0 | return murmurhash32(hashkey); |
539 | 0 | } |
540 | | |
541 | | /* |
542 | | * Does the work of LookupTupleHashEntry and LookupTupleHashEntryHash. Useful |
543 | | * so that we can avoid switching the memory context multiple times for |
544 | | * LookupTupleHashEntry. |
545 | | * |
546 | | * NB: This function may or may not change the memory context. Caller is |
547 | | * expected to change it back. |
548 | | */ |
549 | | static inline TupleHashEntry |
550 | | LookupTupleHashEntry_internal(TupleHashTable hashtable, TupleTableSlot *slot, |
551 | | bool *isnew, uint32 hash) |
552 | 0 | { |
553 | 0 | TupleHashEntryData *entry; |
554 | 0 | bool found; |
555 | 0 | MinimalTuple key; |
556 | |
|
557 | 0 | key = NULL; /* flag to reference inputslot */ |
558 | |
|
559 | 0 | if (isnew) |
560 | 0 | { |
561 | 0 | entry = tuplehash_insert_hash(hashtable->hashtab, key, hash, &found); |
562 | |
|
563 | 0 | if (found) |
564 | 0 | { |
565 | | /* found pre-existing entry */ |
566 | 0 | *isnew = false; |
567 | 0 | } |
568 | 0 | else |
569 | 0 | { |
570 | | /* created new entry */ |
571 | 0 | *isnew = true; |
572 | |
|
573 | 0 | MemoryContextSwitchTo(hashtable->tuplescxt); |
574 | | |
575 | | /* |
576 | | * Copy the first tuple into the tuples context, and request |
577 | | * additionalsize extra bytes before the allocation. |
578 | | * |
579 | | * The caller can get a pointer to the additional data with |
580 | | * TupleHashEntryGetAdditional(), and store arbitrary data there. |
581 | | * Placing both the tuple and additional data in the same |
582 | | * allocation avoids the need to store an extra pointer in |
583 | | * TupleHashEntryData or allocate an additional chunk. |
584 | | */ |
585 | 0 | entry->firstTuple = ExecCopySlotMinimalTupleExtra(slot, |
586 | 0 | hashtable->additionalsize); |
587 | 0 | } |
588 | 0 | } |
589 | 0 | else |
590 | 0 | { |
591 | 0 | entry = tuplehash_lookup_hash(hashtable->hashtab, key, hash); |
592 | 0 | } |
593 | |
|
594 | 0 | return entry; |
595 | 0 | } |
596 | | |
597 | | /* |
598 | | * See whether two tuples (presumably of the same hash value) match |
599 | | */ |
600 | | static int |
601 | | TupleHashTableMatch(struct tuplehash_hash *tb, MinimalTuple tuple1, MinimalTuple tuple2) |
602 | 0 | { |
603 | 0 | TupleTableSlot *slot1; |
604 | 0 | TupleTableSlot *slot2; |
605 | 0 | TupleHashTable hashtable = (TupleHashTable) tb->private_data; |
606 | 0 | ExprContext *econtext = hashtable->exprcontext; |
607 | | |
608 | | /* |
609 | | * We assume that simplehash.h will only ever call us with the first |
610 | | * argument being an actual table entry, and the second argument being |
611 | | * LookupTupleHashEntry's dummy TupleHashEntryData. The other direction |
612 | | * could be supported too, but is not currently required. |
613 | | */ |
614 | 0 | Assert(tuple1 != NULL); |
615 | 0 | slot1 = hashtable->tableslot; |
616 | 0 | ExecStoreMinimalTuple(tuple1, slot1, false); |
617 | 0 | Assert(tuple2 == NULL); |
618 | 0 | slot2 = hashtable->inputslot; |
619 | | |
620 | | /* For crosstype comparisons, the inputslot must be first */ |
621 | 0 | econtext->ecxt_innertuple = slot2; |
622 | 0 | econtext->ecxt_outertuple = slot1; |
623 | 0 | return !ExecQualAndReset(hashtable->cur_eq_func, econtext); |
624 | 0 | } |