/* * simplehash.h * * Hash table implementation which will be specialized to user-defined * types, by including this file to generate the required code. It's * probably not worthwhile to do so for hash tables that aren't performance * or space sensitive. * * Usage notes: * * To generate a hash-table and associated functions for a use case several * macros have to be #define'ed before this file is included. Including * the file #undef's all those, so a new hash table can be generated * afterwards. * The relevant parameters are: * - SH_PREFIX - prefix for all symbol names generated. A prefix of 'foo' * will result in hash table type 'foo_hash' and functions like * 'foo_insert'/'foo_lookup' and so forth. * - SH_ELEMENT_TYPE - type of the contained elements * - SH_KEY_TYPE - type of the hashtable's key * - SH_DECLARE - if defined function prototypes and type declarations are * generated * - SH_DEFINE - if defined function definitions are generated * - SH_SCOPE - in which scope (e.g. extern, static inline) do function * declarations reside * - SH_USE_NONDEFAULT_ALLOCATOR - if defined no element allocator functions * are defined, so you can supply your own * The following parameters are only relevant when SH_DEFINE is defined: * - SH_KEY - name of the element in SH_ELEMENT_TYPE containing the hash key * - SH_EQUAL(table, a, b) - compare two table keys * - SH_HASH_KEY(table, key) - generate hash for the key * - SH_STORE_HASH - if defined the hash is stored in the elements * - SH_GET_HASH(tb, a) - return the field to store the hash in * * For examples of usage look at tidbitmap.c (file local definition) and * execnodes.h/execGrouping.c (exposed declaration, file local * implementation). * * Hash table design: * * The hash table design chosen is a variant of linear open-addressing. The * reason for doing so is that linear addressing is CPU cache & pipeline * friendly. The biggest disadvantage of simple linear addressing schemes * are highly variable lookup times due to clustering, and deletions * leaving a lot of tombstones around. To address these issues a variant * of "robin hood" hashing is employed. Robin hood hashing optimizes * chaining lengths by moving elements close to their optimal bucket * ("rich" elements), out of the way if a to-be-inserted element is further * away from its optimal position (i.e. it's "poor"). While that can make * insertions slower, the average lookup performance is a lot better, and * higher fill factors can be used in a still performant manner. To avoid * tombstones - which normally solve the issue that a deleted node's * presence is relevant to determine whether a lookup needs to continue * looking or is done - buckets following a deleted element are shifted * backwards, unless they're empty or already at their optimal position. */ /* helpers */ #define SH_MAKE_PREFIX(a) CppConcat(a,_) #define SH_MAKE_NAME(name) SH_MAKE_NAME_(SH_MAKE_PREFIX(SH_PREFIX),name) #define SH_MAKE_NAME_(a,b) CppConcat(a,b) /* name macros for: */ /* type declarations */ #define SH_TYPE SH_MAKE_NAME(hash) #define SH_STATUS SH_MAKE_NAME(status) #define SH_STATUS_EMPTY SH_MAKE_NAME(SH_EMPTY) #define SH_STATUS_IN_USE SH_MAKE_NAME(SH_IN_USE) #define SH_ITERATOR SH_MAKE_NAME(iterator) /* function declarations */ #define SH_CREATE SH_MAKE_NAME(create) #define SH_DESTROY SH_MAKE_NAME(destroy) #define SH_RESET SH_MAKE_NAME(reset) #define SH_INSERT SH_MAKE_NAME(insert) #define SH_DELETE SH_MAKE_NAME(delete) #define SH_LOOKUP SH_MAKE_NAME(lookup) #define SH_GROW SH_MAKE_NAME(grow) #define SH_START_ITERATE SH_MAKE_NAME(start_iterate) #define SH_START_ITERATE_AT SH_MAKE_NAME(start_iterate_at) #define SH_ITERATE SH_MAKE_NAME(iterate) #define SH_ALLOCATE SH_MAKE_NAME(allocate) #define SH_FREE SH_MAKE_NAME(free) #define SH_STAT SH_MAKE_NAME(stat) /* internal helper functions (no externally visible prototypes) */ #define SH_COMPUTE_PARAMETERS SH_MAKE_NAME(compute_parameters) #define SH_NEXT SH_MAKE_NAME(next) #define SH_PREV SH_MAKE_NAME(prev) #define SH_DISTANCE_FROM_OPTIMAL SH_MAKE_NAME(distance) #define SH_INITIAL_BUCKET SH_MAKE_NAME(initial_bucket) #define SH_ENTRY_HASH SH_MAKE_NAME(entry_hash) /* generate forward declarations necessary to use the hash table */ #ifdef SH_DECLARE /* type definitions */ typedef struct SH_TYPE { /* * Size of data / bucket array, 64 bits to handle UINT32_MAX sized hash * tables. Note that the maximum number of elements is lower * (SH_MAX_FILLFACTOR) */ uint64 size; /* how many elements have valid contents */ uint32 members; /* mask for bucket and size calculations, based on size */ uint32 sizemask; /* boundary after which to grow hashtable */ uint32 grow_threshold; /* hash buckets */ SH_ELEMENT_TYPE *data; /* memory context to use for allocations */ MemoryContext ctx; /* user defined data, useful for callbacks */ void *private_data; } SH_TYPE; typedef enum SH_STATUS { SH_STATUS_EMPTY = 0x00, SH_STATUS_IN_USE = 0x01 } SH_STATUS; typedef struct SH_ITERATOR { uint32 cur; /* current element */ uint32 end; bool done; /* iterator exhausted? */ } SH_ITERATOR; /* externally visible function prototypes */ SH_SCOPE SH_TYPE *SH_CREATE(MemoryContext ctx, uint32 nelements, void *private_data); SH_SCOPE void SH_DESTROY(SH_TYPE * tb); SH_SCOPE void SH_RESET(SH_TYPE * tb); SH_SCOPE void SH_GROW(SH_TYPE * tb, uint64 newsize); SH_SCOPE SH_ELEMENT_TYPE *SH_INSERT(SH_TYPE * tb, SH_KEY_TYPE key, bool *found); SH_SCOPE SH_ELEMENT_TYPE *SH_LOOKUP(SH_TYPE * tb, SH_KEY_TYPE key); SH_SCOPE bool SH_DELETE(SH_TYPE * tb, SH_KEY_TYPE key); SH_SCOPE void SH_START_ITERATE(SH_TYPE * tb, SH_ITERATOR * iter); SH_SCOPE void SH_START_ITERATE_AT(SH_TYPE * tb, SH_ITERATOR * iter, uint32 at); SH_SCOPE SH_ELEMENT_TYPE *SH_ITERATE(SH_TYPE * tb, SH_ITERATOR * iter); SH_SCOPE void SH_STAT(SH_TYPE * tb); #endif /* SH_DECLARE */ /* generate implementation of the hash table */ #ifdef SH_DEFINE #include "utils/memutils.h" /* max data array size,we allow up to PG_UINT32_MAX buckets, including 0 */ #define SH_MAX_SIZE (((uint64) PG_UINT32_MAX) + 1) /* normal fillfactor, unless already close to maximum */ #ifndef SH_FILLFACTOR #define SH_FILLFACTOR (0.9) #endif /* increase fillfactor if we otherwise would error out */ #define SH_MAX_FILLFACTOR (0.98) /* grow if actual and optimal location bigger than */ #ifndef SH_GROW_MAX_DIB #define SH_GROW_MAX_DIB 25 #endif /* grow if more than elements to move when inserting */ #ifndef SH_GROW_MAX_MOVE #define SH_GROW_MAX_MOVE 150 #endif #ifndef SH_GROW_MIN_FILLFACTOR /* but do not grow due to SH_GROW_MAX_* if below */ #define SH_GROW_MIN_FILLFACTOR 0.1 #endif #ifdef SH_STORE_HASH #define SH_COMPARE_KEYS(tb, ahash, akey, b) (ahash == SH_GET_HASH(tb, b) && SH_EQUAL(tb, b->SH_KEY, akey)) #else #define SH_COMPARE_KEYS(tb, ahash, akey, b) (SH_EQUAL(tb, b->SH_KEY, akey)) #endif /* * Wrap the following definitions in include guards, to avoid multiple * definition errors if this header is included more than once. The rest of * the file deliberately has no include guards, because it can be included * with different parameters to define functions and types with non-colliding * names. */ #ifndef SIMPLEHASH_H #define SIMPLEHASH_H /* FIXME: can we move these to a central location? */ /* calculate ceil(log base 2) of num */ static inline uint64 sh_log2(uint64 num) { int i; uint64 limit; for (i = 0, limit = 1; limit < num; i++, limit <<= 1) ; return i; } /* calculate first power of 2 >= num */ static inline uint64 sh_pow2(uint64 num) { return ((uint64) 1) << sh_log2(num); } #endif /* * Compute sizing parameters for hashtable. Called when creating and growing * the hashtable. */ static inline void SH_COMPUTE_PARAMETERS(SH_TYPE * tb, uint64 newsize) { uint64 size; /* supporting zero sized hashes would complicate matters */ size = Max(newsize, 2); /* round up size to the next power of 2, that's how bucketing works */ size = sh_pow2(size); Assert(size <= SH_MAX_SIZE); /* * Verify that allocation of ->data is possible on this platform, without * overflowing Size. */ if ((((uint64) sizeof(SH_ELEMENT_TYPE)) * size) >= MaxAllocHugeSize) elog(ERROR, "hash table too large"); /* now set size */ tb->size = size; tb->sizemask = (uint32) (size - 1); /* * Compute the next threshold at which we need to grow the hash table * again. */ if (tb->size == SH_MAX_SIZE) tb->grow_threshold = ((double) tb->size) * SH_MAX_FILLFACTOR; else tb->grow_threshold = ((double) tb->size) * SH_FILLFACTOR; } /* return the optimal bucket for the hash */ static inline uint32 SH_INITIAL_BUCKET(SH_TYPE * tb, uint32 hash) { return hash & tb->sizemask; } /* return next bucket after the current, handling wraparound */ static inline uint32 SH_NEXT(SH_TYPE * tb, uint32 curelem, uint32 startelem) { curelem = (curelem + 1) & tb->sizemask; Assert(curelem != startelem); return curelem; } /* return bucket before the current, handling wraparound */ static inline uint32 SH_PREV(SH_TYPE * tb, uint32 curelem, uint32 startelem) { curelem = (curelem - 1) & tb->sizemask; Assert(curelem != startelem); return curelem; } /* return distance between bucket and its optimal position */ static inline uint32 SH_DISTANCE_FROM_OPTIMAL(SH_TYPE * tb, uint32 optimal, uint32 bucket) { if (optimal <= bucket) return bucket - optimal; else return (tb->size + bucket) - optimal; } static inline uint32 SH_ENTRY_HASH(SH_TYPE * tb, SH_ELEMENT_TYPE * entry) { #ifdef SH_STORE_HASH return SH_GET_HASH(tb, entry); #else return SH_HASH_KEY(tb, entry->SH_KEY); #endif } /* default memory allocator function */ static inline void *SH_ALLOCATE(SH_TYPE * type, Size size); static inline void SH_FREE(SH_TYPE * type, void *pointer); #ifndef SH_USE_NONDEFAULT_ALLOCATOR /* default memory allocator function */ static inline void * SH_ALLOCATE(SH_TYPE * type, Size size) { return MemoryContextAllocExtended(type->ctx, size, MCXT_ALLOC_HUGE | MCXT_ALLOC_ZERO); } /* default memory free function */ static inline void SH_FREE(SH_TYPE * type, void *pointer) { pfree(pointer); } #endif /* * Create a hash table with enough space for `nelements` distinct members. * Memory for the hash table is allocated from the passed-in context. If * desired, the array of elements can be allocated using a passed-in allocator; * this could be useful in order to place the array of elements in a shared * memory, or in a context that will outlive the rest of the hash table. * Memory other than for the array of elements will still be allocated from * the passed-in context. */ SH_SCOPE SH_TYPE * SH_CREATE(MemoryContext ctx, uint32 nelements, void *private_data) { SH_TYPE *tb; uint64 size; tb = MemoryContextAllocZero(ctx, sizeof(SH_TYPE)); tb->ctx = ctx; tb->private_data = private_data; /* increase nelements by fillfactor, want to store nelements elements */ size = Min((double) SH_MAX_SIZE, ((double) nelements) / SH_FILLFACTOR); SH_COMPUTE_PARAMETERS(tb, size); tb->data = SH_ALLOCATE(tb, sizeof(SH_ELEMENT_TYPE) * tb->size); return tb; } /* destroy a previously created hash table */ SH_SCOPE void SH_DESTROY(SH_TYPE * tb) { SH_FREE(tb, tb->data); pfree(tb); } /* reset the contents of a previously created hash table */ SH_SCOPE void SH_RESET(SH_TYPE * tb) { memset(tb->data, 0, sizeof(SH_ELEMENT_TYPE) * tb->size); tb->members = 0; } /* * Grow a hash table to at least `newsize` buckets. * * Usually this will automatically be called by insertions/deletions, when * necessary. But resizing to the exact input size can be advantageous * performance-wise, when known at some point. */ SH_SCOPE void SH_GROW(SH_TYPE * tb, uint64 newsize) { uint64 oldsize = tb->size; SH_ELEMENT_TYPE *olddata = tb->data; SH_ELEMENT_TYPE *newdata; uint32 i; uint32 startelem = 0; uint32 copyelem; Assert(oldsize == sh_pow2(oldsize)); Assert(oldsize != SH_MAX_SIZE); Assert(oldsize < newsize); /* compute parameters for new table */ SH_COMPUTE_PARAMETERS(tb, newsize); tb->data = SH_ALLOCATE(tb, sizeof(SH_ELEMENT_TYPE) * tb->size); newdata = tb->data; /* * Copy entries from the old data to newdata. We theoretically could use * SH_INSERT here, to avoid code duplication, but that's more general than * we need. We neither want tb->members increased, nor do we need to do * deal with deleted elements, nor do we need to compare keys. So a * special-cased implementation is lot faster. As resizing can be time * consuming and frequent, that's worthwhile to optimize. * * To be able to simply move entries over, we have to start not at the * first bucket (i.e olddata[0]), but find the first bucket that's either * empty, or is occupied by an entry at its optimal position. Such a * bucket has to exist in any table with a load factor under 1, as not all * buckets are occupied, i.e. there always has to be an empty bucket. By * starting at such a bucket we can move the entries to the larger table, * without having to deal with conflicts. */ /* search for the first element in the hash that's not wrapped around */ for (i = 0; i < oldsize; i++) { SH_ELEMENT_TYPE *oldentry = &olddata[i]; uint32 hash; uint32 optimal; if (oldentry->status != SH_STATUS_IN_USE) { startelem = i; break; } hash = SH_ENTRY_HASH(tb, oldentry); optimal = SH_INITIAL_BUCKET(tb, hash); if (optimal == i) { startelem = i; break; } } /* and copy all elements in the old table */ copyelem = startelem; for (i = 0; i < oldsize; i++) { SH_ELEMENT_TYPE *oldentry = &olddata[copyelem]; if (oldentry->status == SH_STATUS_IN_USE) { uint32 hash; uint32 startelem; uint32 curelem; SH_ELEMENT_TYPE *newentry; hash = SH_ENTRY_HASH(tb, oldentry); startelem = SH_INITIAL_BUCKET(tb, hash); curelem = startelem; /* find empty element to put data into */ while (true) { newentry = &newdata[curelem]; if (newentry->status == SH_STATUS_EMPTY) { break; } curelem = SH_NEXT(tb, curelem, startelem); } /* copy entry to new slot */ memcpy(newentry, oldentry, sizeof(SH_ELEMENT_TYPE)); } /* can't use SH_NEXT here, would use new size */ copyelem++; if (copyelem >= oldsize) { copyelem = 0; } } SH_FREE(tb, olddata); } /* * Insert the key key into the hash-table, set *found to true if the key * already exists, false otherwise. Returns the hash-table entry in either * case. */ SH_SCOPE SH_ELEMENT_TYPE * SH_INSERT(SH_TYPE * tb, SH_KEY_TYPE key, bool *found) { uint32 hash = SH_HASH_KEY(tb, key); uint32 startelem; uint32 curelem; SH_ELEMENT_TYPE *data; uint32 insertdist; restart: insertdist = 0; /* * We do the grow check even if the key is actually present, to avoid * doing the check inside the loop. This also lets us avoid having to * re-find our position in the hashtable after resizing. * * Note that this also reached when resizing the table due to * SH_GROW_MAX_DIB / SH_GROW_MAX_MOVE. */ if (unlikely(tb->members >= tb->grow_threshold)) { if (tb->size == SH_MAX_SIZE) { elog(ERROR, "hash table size exceeded"); } /* * When optimizing, it can be very useful to print these out. */ /* SH_STAT(tb); */ SH_GROW(tb, tb->size * 2); /* SH_STAT(tb); */ } /* perform insert, start bucket search at optimal location */ data = tb->data; startelem = SH_INITIAL_BUCKET(tb, hash); curelem = startelem; while (true) { uint32 curdist; uint32 curhash; uint32 curoptimal; SH_ELEMENT_TYPE *entry = &data[curelem]; /* any empty bucket can directly be used */ if (entry->status == SH_STATUS_EMPTY) { tb->members++; entry->SH_KEY = key; #ifdef SH_STORE_HASH SH_GET_HASH(tb, entry) = hash; #endif entry->status = SH_STATUS_IN_USE; *found = false; return entry; } /* * If the bucket is not empty, we either found a match (in which case * we're done), or we have to decide whether to skip over or move the * colliding entry. When the colliding element's distance to its * optimal position is smaller than the to-be-inserted entry's, we * shift the colliding entry (and its followers) forward by one. */ if (SH_COMPARE_KEYS(tb, hash, key, entry)) { Assert(entry->status == SH_STATUS_IN_USE); *found = true; return entry; } curhash = SH_ENTRY_HASH(tb, entry); curoptimal = SH_INITIAL_BUCKET(tb, curhash); curdist = SH_DISTANCE_FROM_OPTIMAL(tb, curoptimal, curelem); if (insertdist > curdist) { SH_ELEMENT_TYPE *lastentry = entry; uint32 emptyelem = curelem; uint32 moveelem; int32 emptydist = 0; /* find next empty bucket */ while (true) { SH_ELEMENT_TYPE *emptyentry; emptyelem = SH_NEXT(tb, emptyelem, startelem); emptyentry = &data[emptyelem]; if (emptyentry->status == SH_STATUS_EMPTY) { lastentry = emptyentry; break; } /* * To avoid negative consequences from overly imbalanced * hashtables, grow the hashtable if collisions would require * us to move a lot of entries. The most likely cause of such * imbalance is filling a (currently) small table, from a * currently big one, in hash-table order. Don't grow if the * hashtable would be too empty, to prevent quick space * explosion for some weird edge cases. */ if (unlikely(++emptydist > SH_GROW_MAX_MOVE) && ((double) tb->members / tb->size) >= SH_GROW_MIN_FILLFACTOR) { tb->grow_threshold = 0; goto restart; } } /* shift forward, starting at last occupied element */ /* * TODO: This could be optimized to be one memcpy in may cases, * excepting wrapping around at the end of ->data. Hasn't shown up * in profiles so far though. */ moveelem = emptyelem; while (moveelem != curelem) { SH_ELEMENT_TYPE *moveentry; moveelem = SH_PREV(tb, moveelem, startelem); moveentry = &data[moveelem]; memcpy(lastentry, moveentry, sizeof(SH_ELEMENT_TYPE)); lastentry = moveentry; } /* and fill the now empty spot */ tb->members++; entry->SH_KEY = key; #ifdef SH_STORE_HASH SH_GET_HASH(tb, entry) = hash; #endif entry->status = SH_STATUS_IN_USE; *found = false; return entry; } curelem = SH_NEXT(tb, curelem, startelem); insertdist++; /* * To avoid negative consequences from overly imbalanced hashtables, * grow the hashtable if collisions lead to large runs. The most * likely cause of such imbalance is filling a (currently) small * table, from a currently big one, in hash-table order. Don't grow * if the hashtable would be too empty, to prevent quick space * explosion for some weird edge cases. */ if (unlikely(insertdist > SH_GROW_MAX_DIB) && ((double) tb->members / tb->size) >= SH_GROW_MIN_FILLFACTOR) { tb->grow_threshold = 0; goto restart; } } } /* * Lookup up entry in hash table. Returns NULL if key not present. */ SH_SCOPE SH_ELEMENT_TYPE * SH_LOOKUP(SH_TYPE * tb, SH_KEY_TYPE key) { uint32 hash = SH_HASH_KEY(tb, key); const uint32 startelem = SH_INITIAL_BUCKET(tb, hash); uint32 curelem = startelem; while (true) { SH_ELEMENT_TYPE *entry = &tb->data[curelem]; if (entry->status == SH_STATUS_EMPTY) { return NULL; } Assert(entry->status == SH_STATUS_IN_USE); if (SH_COMPARE_KEYS(tb, hash, key, entry)) return entry; /* * TODO: we could stop search based on distance. If the current * buckets's distance-from-optimal is smaller than what we've skipped * already, the entry doesn't exist. Probably only do so if * SH_STORE_HASH is defined, to avoid re-computing hashes? */ curelem = SH_NEXT(tb, curelem, startelem); } } /* * Delete entry from hash table. Returns whether to-be-deleted key was * present. */ SH_SCOPE bool SH_DELETE(SH_TYPE * tb, SH_KEY_TYPE key) { uint32 hash = SH_HASH_KEY(tb, key); uint32 startelem = SH_INITIAL_BUCKET(tb, hash); uint32 curelem = startelem; while (true) { SH_ELEMENT_TYPE *entry = &tb->data[curelem]; if (entry->status == SH_STATUS_EMPTY) return false; if (entry->status == SH_STATUS_IN_USE && SH_COMPARE_KEYS(tb, hash, key, entry)) { SH_ELEMENT_TYPE *lastentry = entry; tb->members--; /* * Backward shift following elements till either an empty element * or an element at its optimal position is encountered. * * While that sounds expensive, the average chain length is short, * and deletions would otherwise require tombstones. */ while (true) { SH_ELEMENT_TYPE *curentry; uint32 curhash; uint32 curoptimal; curelem = SH_NEXT(tb, curelem, startelem); curentry = &tb->data[curelem]; if (curentry->status != SH_STATUS_IN_USE) { lastentry->status = SH_STATUS_EMPTY; break; } curhash = SH_ENTRY_HASH(tb, curentry); curoptimal = SH_INITIAL_BUCKET(tb, curhash); /* current is at optimal position, done */ if (curoptimal == curelem) { lastentry->status = SH_STATUS_EMPTY; break; } /* shift */ memcpy(lastentry, curentry, sizeof(SH_ELEMENT_TYPE)); lastentry = curentry; } return true; } /* TODO: return false; if distance too big */ curelem = SH_NEXT(tb, curelem, startelem); } } /* * Initialize iterator. */ SH_SCOPE void SH_START_ITERATE(SH_TYPE * tb, SH_ITERATOR * iter) { int i; uint64 startelem = PG_UINT64_MAX; /* * Search for the first empty element. As deletions during iterations are * supported, we want to start/end at an element that cannot be affected * by elements being shifted. */ for (i = 0; i < tb->size; i++) { SH_ELEMENT_TYPE *entry = &tb->data[i]; if (entry->status != SH_STATUS_IN_USE) { startelem = i; break; } } Assert(startelem < SH_MAX_SIZE); /* * Iterate backwards, that allows the current element to be deleted, even * if there are backward shifts */ iter->cur = startelem; iter->end = iter->cur; iter->done = false; } /* * Initialize iterator to a specific bucket. That's really only useful for * cases where callers are partially iterating over the hashspace, and that * iteration deletes and inserts elements based on visited entries. Doing that * repeatedly could lead to an unbalanced keyspace when always starting at the * same position. */ SH_SCOPE void SH_START_ITERATE_AT(SH_TYPE * tb, SH_ITERATOR * iter, uint32 at) { /* * Iterate backwards, that allows the current element to be deleted, even * if there are backward shifts. */ iter->cur = at & tb->sizemask; /* ensure at is within a valid range */ iter->end = iter->cur; iter->done = false; } /* * Iterate over all entries in the hash-table. Return the next occupied entry, * or NULL if done. * * During iteration the current entry in the hash table may be deleted, * without leading to elements being skipped or returned twice. Additionally * the rest of the table may be modified (i.e. there can be insertions or * deletions), but if so, there's neither a guarantee that all nodes are * visited at least once, nor a guarantee that a node is visited at most once. */ SH_SCOPE SH_ELEMENT_TYPE * SH_ITERATE(SH_TYPE * tb, SH_ITERATOR * iter) { while (!iter->done) { SH_ELEMENT_TYPE *elem; elem = &tb->data[iter->cur]; /* next element in backward direction */ iter->cur = (iter->cur - 1) & tb->sizemask; if ((iter->cur & tb->sizemask) == (iter->end & tb->sizemask)) iter->done = true; if (elem->status == SH_STATUS_IN_USE) { return elem; } } return NULL; } /* * Report some statistics about the state of the hashtable. For * debugging/profiling purposes only. */ SH_SCOPE void SH_STAT(SH_TYPE * tb) { uint32 max_chain_length = 0; uint32 total_chain_length = 0; double avg_chain_length; double fillfactor; uint32 i; uint32 *collisions = palloc0(tb->size * sizeof(uint32)); uint32 total_collisions = 0; uint32 max_collisions = 0; double avg_collisions; for (i = 0; i < tb->size; i++) { uint32 hash; uint32 optimal; uint32 dist; SH_ELEMENT_TYPE *elem; elem = &tb->data[i]; if (elem->status != SH_STATUS_IN_USE) continue; hash = SH_ENTRY_HASH(tb, elem); optimal = SH_INITIAL_BUCKET(tb, hash); dist = SH_DISTANCE_FROM_OPTIMAL(tb, optimal, i); if (dist > max_chain_length) max_chain_length = dist; total_chain_length += dist; collisions[optimal]++; } for (i = 0; i < tb->size; i++) { uint32 curcoll = collisions[i]; if (curcoll == 0) continue; /* single contained element is not a collision */ curcoll--; total_collisions += curcoll; if (curcoll > max_collisions) max_collisions = curcoll; } if (tb->members > 0) { fillfactor = tb->members / ((double) tb->size); avg_chain_length = ((double) total_chain_length) / tb->members; avg_collisions = ((double) total_collisions) / tb->members; } else { fillfactor = 0; avg_chain_length = 0; avg_collisions = 0; } elog(LOG, "size: " UINT64_FORMAT ", members: %u, filled: %f, total chain: %u, max chain: %u, avg chain: %f, total_collisions: %u, max_collisions: %i, avg_collisions: %f", tb->size, tb->members, fillfactor, total_chain_length, max_chain_length, avg_chain_length, total_collisions, max_collisions, avg_collisions); } #endif /* SH_DEFINE */ /* undefine external parameters, so next hash table can be defined */ #undef SH_PREFIX #undef SH_KEY_TYPE #undef SH_KEY #undef SH_ELEMENT_TYPE #undef SH_HASH_KEY #undef SH_SCOPE #undef SH_DECLARE #undef SH_DEFINE #undef SH_GET_HASH #undef SH_STORE_HASH #undef SH_USE_NONDEFAULT_ALLOCATOR #undef SH_EQUAL /* undefine locally declared macros */ #undef SH_MAKE_PREFIX #undef SH_MAKE_NAME #undef SH_MAKE_NAME_ #undef SH_FILLFACTOR #undef SH_MAX_FILLFACTOR #undef SH_GROW_MAX_DIB #undef SH_GROW_MAX_MOVE #undef SH_GROW_MIN_FILLFACTOR #undef SH_MAX_SIZE /* types */ #undef SH_TYPE #undef SH_STATUS #undef SH_STATUS_EMPTY #undef SH_STATUS_IN_USE #undef SH_ITERATOR /* external function names */ #undef SH_CREATE #undef SH_DESTROY #undef SH_RESET #undef SH_INSERT #undef SH_DELETE #undef SH_LOOKUP #undef SH_GROW #undef SH_START_ITERATE #undef SH_START_ITERATE_AT #undef SH_ITERATE #undef SH_ALLOCATE #undef SH_FREE #undef SH_STAT /* internal function names */ #undef SH_COMPUTE_PARAMETERS #undef SH_COMPARE_KEYS #undef SH_INITIAL_BUCKET #undef SH_NEXT #undef SH_PREV #undef SH_DISTANCE_FROM_OPTIMAL #undef SH_ENTRY_HASH