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/* SPDX-License-Identifier: GPL-3.0-only */
/*
* Simple linear hashing implementation
*
* Linear hashing is a hash table algorithm by Witold Litwin (1980)
* which grows the table on demand without rehashing existing objects.
*
* This implementation employs a conventional hash function C whose
* output length is assumed to be greater than the order of the table,
* i.e. the base-2 logarithm of the number of slots. Hash collisions
* are resolved by chaining.
*
* The hash table consists in fact of two tables which are consecutive
* in memory. Each table represents N = 1 << n many slots of the
* table. Example (n = 2, N = 4):
*
* [....][....]
* 0123 4567
*
* In what follows, we refer to the two tables as the lower table and
* the higher table.
*
* C gives rise to a sequence of hash functions C_k via C_k(key) :=
* lower k bits of C(key). In terms of C_k the lower and higher hash
* functions, h and H, are defined by h = C_n and H = C_{n+1}. Hence
* h(key) always corresponds to a slot in the lower table while H(key)
* corresponds to a slot in either table. Both functions are trivial to
* compute given C(key).
*
* The algorithm also maintains a split position s which corresponds to
* a slot of the lower table and starts out at zero.
*
* [s...][....]
* 0123 4567
*
* The linear hash function L is defined by L(key) = H(key) if h(key)
* < s, and L(key) = h(key) otherwise. In other words, L(key) is either
* the lower or the higher hash value, depending on the relation between
* the lower hash value and s. The higher hash function applies for all
* keys whose lower hash value is smaller than s. Initially we have L = h.
*
* On insertion, if the table load is large, the chain of entries which
* hash to s is split by transitioning from h to H.
*
* For an existing key, we have either H(key) = h(key) or H(key) =
* h(key) + 1 << n. That is, the most significant bit of H(key) tells
* whether this entry must be moved from its slot in the low table to the
* corresponding slot in the high table. Approximately half the entries
* will be moved this way. To reflect the fact that from now on L(key)
* = H(key) for all keys with h(key) = s, s is increased by one.
*
* Each time s reaches 1 << n, the upper bound of the lower table, we
* have L = H. In this case the hash table size is doubled, and the split
* position is reset to zero. Moreover, h and H are redefined as h :=
* C_{n+1} (i.e., the new h becomes the former H), and H := C_{n+2}. This
* means the table order n has increased by one, and a new round begins.
*
* This implementation includes an API for iterating over all entries
* in the hash table which avoids callback functions. Instead an opaque
* iterator structure is provided together with a set of functions that
* create or operate on such a structure.
*
* While shrinking a linear hash table can performed essentially
* by reversing the steps for growing described above, this is not
* implemented since it is not needed for tfortune.
*/
#include "tf.h"
struct lh_slot {
struct linhash_item item;
uint32_t hash;
struct lh_slot *next;
};
struct linhash_table {
struct lh_slot **slots;
unsigned order;
uint32_t num_items; /* how many items have been inserted so far. */
uint32_t split_position;
};
struct linhash_iterator {
/* these are used regardless of whether comp is NULL */
struct linhash_table *t;
uint32_t idx;
/* comp == NULL means: iterate in hash order */
linhash_comparator *comp;
/* only used if comp == NULL */
struct lh_slot *head, *prev, *next;
/* only used if comp != NULL */
struct linhash_item **items;
bool reverse;
};
static uint32_t lh_num_slots_low(const struct linhash_table *t)
{
return (uint32_t)1 << t->order;
}
static uint32_t lh_num_slots_high(const struct linhash_table *t)
{
return lh_num_slots_low(t) * 2;
}
static uint32_t lh_index_low(uint32_t hash, const struct linhash_table *t)
{
return hash % lh_num_slots_low(t);
}
static uint32_t lh_index_high(uint32_t hash, const struct linhash_table *t)
{
return hash % lh_num_slots_high(t);
}
static bool lh_must_grow(const struct linhash_table *t)
{
return t->num_items >= lh_num_slots_high(t) / 2;
}
/* The simple DJB (Daniel J Bernstein) hash is good enough here. */
static uint32_t lh_hash(const char *data)
{
uint32_t h = 5381;
const unsigned char *c = (typeof(c))data;
while (*(c++))
h = h * 33 + *c;
return h;
}
/*
* Create a new table for linear hashing.
*
* The order argument determines the initial number of slots: it is given by 2
* << order. The hash table grows on demand, and the point of linear hashing is
* the ability to cheaply grow the table, so specifying anything greater than
* zero is probably not necessary.
*
* The functtion returns an opaque pointer which serves as the handle to the
* newly created hash table. Most functions of the linhash API take such a
* pointer to know the table to operate on. This function either succeeds or
* terminates, it never returns NULL.
*/
struct linhash_table *linhash_new(uint32_t order)
{
struct linhash_table *t;
uint32_t ns;
DEBUG_LOG("creating order %u hash table\n", order);
t = xmalloc(sizeof(*t));
t->order = order;
t->num_items = 0;
t->split_position = 0;
ns = lh_num_slots_high(t);
t->slots = xcalloc(ns * sizeof(*t->slots));
return t;
}
static uint32_t lh_index(uint32_t hash, const struct linhash_table *t)
{
uint32_t low = lh_index_low(hash, t);
if (low >= t->split_position)
return low;
return lh_index_high(hash, t);
}
static void lh_split_slot(struct linhash_table *t)
{
struct lh_slot *prev, *next, *s;
uint32_t sp = t->split_position;
DEBUG_LOG("splitting slot %u\n", sp);
for (prev = NULL, s = t->slots[sp]; s;) {
uint32_t idx = lh_index_high(s->hash, t);
if (idx == sp) {
prev = s;
s = s->next;
continue;
}
DEBUG_LOG("moving %s up from slot %u to slot %u\n",
s->item.key, sp, idx);
if (t->slots[sp] == s)
t->slots[sp] = s->next;
if (prev)
prev->next = s->next;
next = s->next;
s->next = t->slots[idx];
t->slots[idx] = s;
s = next;
}
DEBUG_LOG("slot %u has been split\n", sp);
if (!t->slots[sp])
DEBUG_LOG("slot #%u has become empty\n", sp);
}
static void lh_grow_table(struct linhash_table *t)
{
uint32_t idx, ns;
DEBUG_LOG("growing hash table to order %u\n", ++t->order);
ns = lh_num_slots_high(t);
t->slots = xrealloc(t->slots, ns * sizeof(*t->slots));
idx = lh_num_slots_low(t);
memset(t->slots + idx, 0, (ns - idx) * sizeof(*t->slots));
}
static struct lh_slot *lh_lookup(const char *key,
const struct linhash_table *t, uint32_t *hashp, uint32_t *idxp,
struct lh_slot **prevp)
{
struct lh_slot *s, *prev;
uint32_t hash, idx;
if (!t)
return NULL;
hash = lh_hash(key);
idx = lh_index(hash, t);
//DEBUG_LOG("key %s, hash: %u, idx: %u\n", key, hash, idx);
if (hashp)
*hashp = hash;
if (idxp)
*idxp = idx;
for (s = t->slots[idx], prev = NULL; s; prev = s, s = s->next) {
//DEBUG_LOG("comparing %s vs. %s\n", key, s->item.key);
if (strcmp(s->item.key, key))
continue;
/* found it */
if (prevp)
*prevp = prev;
return s;
}
if (prevp)
*prevp = NULL;
return NULL;
}
/**
* Find the entry identified by a key.
*
* \param key The key to look up.
* \param t Where to look up the key.
*/
struct linhash_item *linhash_lookup(const char *key,
const struct linhash_table *t)
{
struct lh_slot *s = lh_lookup(key, t, NULL, NULL, NULL);
if (!s)
return NULL;
return &s->item;
}
static void *lh_remove(struct lh_slot *s, struct lh_slot *prev, uint32_t idx, struct linhash_table *t)
{
void *obj;
if (!s)
return NULL;
t->num_items--;
obj = s->item.object;
if (prev)
prev->next = s->next;
else
t->slots[idx] = s->next;
free(s);
return obj;
}
/* Note: This renders all existing iterators stale. */
void *linhash_remove(const char *key, struct linhash_table *t)
{
uint32_t idx;
struct lh_slot *prev, *s = lh_lookup(key, t, NULL, &idx, &prev);
return lh_remove(s, prev, idx, t);
}
static void *lh_iterator_remove_current(struct linhash_iterator *iter)
{
void *obj;
assert(!iter->comp);
if (!iter->head)
return NULL;
obj = lh_remove(iter->head, iter->prev, iter->idx, iter->t);
iter->head = iter->prev;
return obj;
}
static struct lh_slot *lh_first_nonempty_slot(uint32_t *idxp,
const struct linhash_table *t)
{
uint32_t ns = lh_num_slots_high(t);
for (; *idxp < ns; (*idxp)++)
if (t->slots[*idxp])
return t->slots[*idxp];
return NULL;
}
static void lh_iter_init(struct linhash_iterator *iter, uint32_t idx)
{
iter->idx = idx;
iter->prev = NULL;
iter->head = lh_first_nonempty_slot(&iter->idx, iter->t);
if (iter->head)
iter->next = iter->head->next;
}
/*
* Normally iter->head points to the current head. However, if this head was
* removed with lh_iterator_remove_current(), iter->head points to its
* predecessor in the list.
*/
void linhash_iterator_next(struct linhash_iterator *iter)
{
if (iter->comp) {
if (iter->reverse)
iter->idx--;
else
iter->idx++;
return;
}
if (iter->next) {
iter->prev = iter->head;
iter->head = iter->next;
iter->next = iter->next->next;
return;
}
lh_iter_init(iter, iter->idx + 1);
}
struct linhash_item *linhash_iterator_item(const struct linhash_iterator *iter)
{
if (iter->comp) {
if (iter->idx >= iter->t->num_items)
return NULL;
return iter->items[iter->idx];
}
if (!iter->head)
return NULL;
return &iter->head->item;
}
void linhash_iterator_free(struct linhash_iterator *iter)
{
if (!iter)
return;
if (iter->comp)
free(iter->items);
free(iter);
}
/* always succeeds. reverse order is only respected if a comparator is given. */
struct linhash_iterator *linhash_iterator_new(struct linhash_table *t,
linhash_comparator *comp, bool reverse_sort_order)
{
struct linhash_iterator *iter = xmalloc(sizeof(*iter)), *iter2;
struct linhash_item *item;
unsigned n;
iter->t = t;
iter->comp = comp;
if (!comp) {
lh_iter_init(iter, 0);
return iter;
}
iter->reverse = reverse_sort_order;
iter2 = linhash_iterator_new(t, NULL, false);
iter->items = xmalloc(t->num_items * sizeof(struct linhash_item *));
for (
n = 0;
(item = linhash_iterator_item(iter2));
linhash_iterator_next(iter2)
)
iter->items[n++] = item;
linhash_iterator_free(iter2);
qsort(iter->items, t->num_items, sizeof(struct linhash_iter *),
(int (*)(const void *, const void *))comp);
iter->idx = reverse_sort_order? t->num_items - 1 : 0;
return iter;
}
/* Deallocate the resources occupied by the given hash table. */
void linhash_free(struct linhash_table *t)
{
struct linhash_iterator *iter;
struct linhash_item *itemp;
if (!t)
return;
for (
iter = linhash_iterator_new(t, NULL, false);
(itemp = linhash_iterator_item(iter));
linhash_iterator_next(iter)
)
lh_iterator_remove_current(iter);
linhash_iterator_free(iter);
assert(t->num_items == 0);
free(t->slots);
free(t);
}
/* returns item in first arg if key already exists */
int linhash_insert(struct linhash_item *item, struct linhash_table *t,
void ***object)
{
struct lh_slot *s;
uint32_t idx, hash;
s = lh_lookup(item->key, t, &hash, &idx, NULL);
if (s) {
if (object)
*object = &s->item.object;
return -E_LH_EXIST;
}
s = xmalloc(sizeof(*s));
s->item = *item;
s->hash = hash;
DEBUG_LOG("inserting item #%u, key: %s, hash: %u, idx: %u\n",
t->num_items, item->key, hash, idx);
s->next = t->slots[idx];
t->slots[idx] = s;
t->num_items++;
if (!lh_must_grow(t)) {
DEBUG_LOG("no need to grow\n");
return 0;
}
lh_split_slot(t);
t->split_position++;
if (t->split_position < lh_num_slots_low(t))
return 1;
t->split_position = 0;
lh_grow_table(t);
return 2;
}
uint32_t linhash_num_items(const struct linhash_table *t)
{
return t->num_items;
}
char *linhash_statistics(const struct linhash_table *t)
{
uint32_t min_fill = -1, max_fill = 0, n, idx, ns;
uint32_t fill_count[11] = {0};
char *result;
ns = lh_num_slots_low(t) + t->split_position;
for (idx = 0; idx < ns; idx++) {
struct lh_slot *s;
for (n = 0, s = t->slots[idx]; s; s = s->next, n++)
; /* nothing */
min_fill = MIN(min_fill, n);
max_fill = MAX(max_fill, n);
fill_count[n < 10? n : 10]++;
}
xasprintf(&result,
"order............... %2u\n"
"num slots........... %u\n"
"num items (table)... %u\n"
"load factor........ %3u%%\n"
"min fill............ %2u\n"
"max fill............ %2u\n"
"max count[0]....... %3u%% (%u)\n"
"max count[1]....... %3u%% (%u)\n"
"max count[2]....... %3u%% (%u)\n"
"max count[3]....... %3u%% (%u)\n"
"max count[4]....... %3u%% (%u)\n"
"max count[5]....... %3u%% (%u)\n"
"max count[6]....... %3u%% (%u)\n"
"max count[7]....... %3u%% (%u)\n"
"max count[8]....... %3u%% (%u)\n"
"max count[9]....... %3u%% (%u)\n"
"max count[10+]..... %3u%% (%u)\n"
,
t->order,
ns,
t->num_items,
(t->num_items * 100 + (ns / 2)) / ns,
min_fill,
max_fill,
100 * fill_count[0] / ns, fill_count[0],
100 * fill_count[1] / ns, fill_count[1],
100 * fill_count[2] / ns, fill_count[2],
100 * fill_count[3] / ns, fill_count[3],
100 * fill_count[4] / ns, fill_count[4],
100 * fill_count[5] / ns, fill_count[5],
100 * fill_count[6] / ns, fill_count[6],
100 * fill_count[7] / ns, fill_count[7],
100 * fill_count[8] / ns, fill_count[8],
100 * fill_count[9] / ns, fill_count[9],
100 * fill_count[10] / ns, fill_count[10]
);
return result;
}
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