2017-12-19 15:49:03 +00:00
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/* SPDX-License-Identifier: BSD-3-Clause
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* Copyright(c) 2017 Intel Corporation
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member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
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*/
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#include <rte_errno.h>
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#include <rte_malloc.h>
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#include <rte_prefetch.h>
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#include <rte_random.h>
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#include <rte_log.h>
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#include "rte_member.h"
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#include "rte_member_ht.h"
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2017-10-04 03:12:22 +00:00
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#if defined(RTE_ARCH_X86)
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#include "rte_member_x86.h"
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#endif
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member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
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/* Search bucket for entry with tmp_sig and update set_id */
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static inline int
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update_entry_search(uint32_t bucket_id, member_sig_t tmp_sig,
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struct member_ht_bucket *buckets,
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member_set_t set_id)
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{
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uint32_t i;
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for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
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if (buckets[bucket_id].sigs[i] == tmp_sig) {
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buckets[bucket_id].sets[i] = set_id;
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return 1;
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}
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}
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return 0;
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}
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static inline int
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search_bucket_single(uint32_t bucket_id, member_sig_t tmp_sig,
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struct member_ht_bucket *buckets,
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member_set_t *set_id)
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{
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uint32_t iter;
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for (iter = 0; iter < RTE_MEMBER_BUCKET_ENTRIES; iter++) {
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if (tmp_sig == buckets[bucket_id].sigs[iter] &&
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buckets[bucket_id].sets[iter] !=
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RTE_MEMBER_NO_MATCH) {
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*set_id = buckets[bucket_id].sets[iter];
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return 1;
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}
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}
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return 0;
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}
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static inline void
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search_bucket_multi(uint32_t bucket_id, member_sig_t tmp_sig,
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struct member_ht_bucket *buckets,
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uint32_t *counter,
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uint32_t matches_per_key,
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member_set_t *set_id)
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{
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uint32_t iter;
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for (iter = 0; iter < RTE_MEMBER_BUCKET_ENTRIES; iter++) {
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if (tmp_sig == buckets[bucket_id].sigs[iter] &&
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buckets[bucket_id].sets[iter] !=
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RTE_MEMBER_NO_MATCH) {
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set_id[*counter] = buckets[bucket_id].sets[iter];
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(*counter)++;
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if (*counter >= matches_per_key)
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return;
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}
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}
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}
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int
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rte_member_create_ht(struct rte_member_setsum *ss,
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const struct rte_member_parameters *params)
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{
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uint32_t i, j;
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uint32_t size_bucket_t;
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uint32_t num_entries = rte_align32pow2(params->num_keys);
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if ((num_entries > RTE_MEMBER_ENTRIES_MAX) ||
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!rte_is_power_of_2(RTE_MEMBER_BUCKET_ENTRIES) ||
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num_entries < RTE_MEMBER_BUCKET_ENTRIES) {
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rte_errno = EINVAL;
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RTE_MEMBER_LOG(ERR,
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"Membership HT create with invalid parameters\n");
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return -EINVAL;
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}
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uint32_t num_buckets = num_entries / RTE_MEMBER_BUCKET_ENTRIES;
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size_bucket_t = sizeof(struct member_ht_bucket);
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struct member_ht_bucket *buckets = rte_zmalloc_socket(NULL,
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num_buckets * size_bucket_t,
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RTE_CACHE_LINE_SIZE, ss->socket_id);
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if (buckets == NULL) {
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RTE_MEMBER_LOG(ERR, "memory allocation failed for HT "
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"setsummary\n");
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return -ENOMEM;
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}
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ss->table = buckets;
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ss->bucket_cnt = num_buckets;
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ss->bucket_mask = num_buckets - 1;
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ss->cache = params->is_cache;
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for (i = 0; i < num_buckets; i++) {
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for (j = 0; j < RTE_MEMBER_BUCKET_ENTRIES; j++)
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buckets[i].sets[j] = RTE_MEMBER_NO_MATCH;
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}
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2017-10-04 03:12:22 +00:00
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#if defined(RTE_ARCH_X86)
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if (rte_cpu_get_flag_enabled(RTE_CPUFLAG_AVX2) &&
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RTE_MEMBER_BUCKET_ENTRIES == 16)
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ss->sig_cmp_fn = RTE_MEMBER_COMPARE_AVX2;
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else
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#endif
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ss->sig_cmp_fn = RTE_MEMBER_COMPARE_SCALAR;
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member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
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RTE_MEMBER_LOG(DEBUG, "Hash table based filter created, "
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"the table has %u entries, %u buckets\n",
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num_entries, num_buckets);
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return 0;
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}
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static inline void
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get_buckets_index(const struct rte_member_setsum *ss, const void *key,
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uint32_t *prim_bkt, uint32_t *sec_bkt, member_sig_t *sig)
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{
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uint32_t first_hash = MEMBER_HASH_FUNC(key, ss->key_len,
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ss->prim_hash_seed);
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uint32_t sec_hash = MEMBER_HASH_FUNC(&first_hash, sizeof(uint32_t),
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ss->sec_hash_seed);
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/*
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* We use the first hash value for the signature, and the second hash
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* value to derive the primary and secondary bucket locations.
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*
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* For non-cache mode, we use the lower bits for the primary bucket
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* location. Then we xor primary bucket location and the signature
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* to get the secondary bucket location. This is called "partial-key
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* cuckoo hashing" proposed by B. Fan, et al's paper
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* "Cuckoo Filter: Practically Better Than Bloom". The benefit to use
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* xor is that one could derive the alternative bucket location
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* by only using the current bucket location and the signature. This is
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* generally required by non-cache mode's eviction and deletion
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* process without the need to store alternative hash value nor the full
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* key.
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*
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* For cache mode, we use the lower bits for the primary bucket
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* location and the higher bits for the secondary bucket location. In
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* cache mode, keys are simply overwritten if bucket is full. We do not
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* use xor since lower/higher bits are more independent hash values thus
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* should provide slightly better table load.
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*/
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*sig = first_hash;
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if (ss->cache) {
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*prim_bkt = sec_hash & ss->bucket_mask;
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*sec_bkt = (sec_hash >> 16) & ss->bucket_mask;
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} else {
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*prim_bkt = sec_hash & ss->bucket_mask;
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*sec_bkt = (*prim_bkt ^ *sig) & ss->bucket_mask;
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}
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}
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int
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rte_member_lookup_ht(const struct rte_member_setsum *ss,
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const void *key, member_set_t *set_id)
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{
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uint32_t prim_bucket, sec_bucket;
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member_sig_t tmp_sig;
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struct member_ht_bucket *buckets = ss->table;
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*set_id = RTE_MEMBER_NO_MATCH;
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get_buckets_index(ss, key, &prim_bucket, &sec_bucket, &tmp_sig);
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2017-10-04 03:12:22 +00:00
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switch (ss->sig_cmp_fn) {
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#if defined(RTE_ARCH_X86) && defined(RTE_MACHINE_CPUFLAG_AVX2)
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case RTE_MEMBER_COMPARE_AVX2:
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if (search_bucket_single_avx(prim_bucket, tmp_sig, buckets,
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set_id) ||
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search_bucket_single_avx(sec_bucket, tmp_sig,
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buckets, set_id))
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return 1;
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break;
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#endif
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default:
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if (search_bucket_single(prim_bucket, tmp_sig, buckets,
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set_id) ||
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search_bucket_single(sec_bucket, tmp_sig,
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buckets, set_id))
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return 1;
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}
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member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
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return 0;
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}
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uint32_t
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rte_member_lookup_bulk_ht(const struct rte_member_setsum *ss,
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const void **keys, uint32_t num_keys, member_set_t *set_id)
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{
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uint32_t i;
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uint32_t num_matches = 0;
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struct member_ht_bucket *buckets = ss->table;
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member_sig_t tmp_sig[RTE_MEMBER_LOOKUP_BULK_MAX];
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uint32_t prim_buckets[RTE_MEMBER_LOOKUP_BULK_MAX];
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uint32_t sec_buckets[RTE_MEMBER_LOOKUP_BULK_MAX];
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for (i = 0; i < num_keys; i++) {
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get_buckets_index(ss, keys[i], &prim_buckets[i],
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&sec_buckets[i], &tmp_sig[i]);
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rte_prefetch0(&buckets[prim_buckets[i]]);
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rte_prefetch0(&buckets[sec_buckets[i]]);
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}
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for (i = 0; i < num_keys; i++) {
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2017-10-04 03:12:22 +00:00
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switch (ss->sig_cmp_fn) {
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#if defined(RTE_ARCH_X86) && defined(RTE_MACHINE_CPUFLAG_AVX2)
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case RTE_MEMBER_COMPARE_AVX2:
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if (search_bucket_single_avx(prim_buckets[i],
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tmp_sig[i], buckets, &set_id[i]) ||
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search_bucket_single_avx(sec_buckets[i],
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tmp_sig[i], buckets, &set_id[i]))
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num_matches++;
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else
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set_id[i] = RTE_MEMBER_NO_MATCH;
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break;
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#endif
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default:
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if (search_bucket_single(prim_buckets[i], tmp_sig[i],
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buckets, &set_id[i]) ||
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search_bucket_single(sec_buckets[i],
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tmp_sig[i], buckets, &set_id[i]))
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num_matches++;
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else
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set_id[i] = RTE_MEMBER_NO_MATCH;
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}
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member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
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}
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return num_matches;
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}
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uint32_t
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rte_member_lookup_multi_ht(const struct rte_member_setsum *ss,
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const void *key, uint32_t match_per_key,
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member_set_t *set_id)
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{
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uint32_t num_matches = 0;
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uint32_t prim_bucket, sec_bucket;
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member_sig_t tmp_sig;
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struct member_ht_bucket *buckets = ss->table;
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|
|
|
|
get_buckets_index(ss, key, &prim_bucket, &sec_bucket, &tmp_sig);
|
|
|
|
|
2017-10-04 03:12:22 +00:00
|
|
|
switch (ss->sig_cmp_fn) {
|
|
|
|
#if defined(RTE_ARCH_X86) && defined(RTE_MACHINE_CPUFLAG_AVX2)
|
|
|
|
case RTE_MEMBER_COMPARE_AVX2:
|
|
|
|
search_bucket_multi_avx(prim_bucket, tmp_sig, buckets,
|
|
|
|
&num_matches, match_per_key, set_id);
|
|
|
|
if (num_matches < match_per_key)
|
|
|
|
search_bucket_multi_avx(sec_bucket, tmp_sig,
|
|
|
|
buckets, &num_matches, match_per_key, set_id);
|
|
|
|
return num_matches;
|
|
|
|
#endif
|
|
|
|
default:
|
|
|
|
search_bucket_multi(prim_bucket, tmp_sig, buckets, &num_matches,
|
|
|
|
match_per_key, set_id);
|
|
|
|
if (num_matches < match_per_key)
|
|
|
|
search_bucket_multi(sec_bucket, tmp_sig,
|
|
|
|
buckets, &num_matches, match_per_key, set_id);
|
|
|
|
return num_matches;
|
|
|
|
}
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
uint32_t
|
|
|
|
rte_member_lookup_multi_bulk_ht(const struct rte_member_setsum *ss,
|
|
|
|
const void **keys, uint32_t num_keys, uint32_t match_per_key,
|
|
|
|
uint32_t *match_count,
|
|
|
|
member_set_t *set_ids)
|
|
|
|
{
|
|
|
|
uint32_t i;
|
|
|
|
uint32_t num_matches = 0;
|
|
|
|
struct member_ht_bucket *buckets = ss->table;
|
|
|
|
uint32_t match_cnt_tmp;
|
|
|
|
member_sig_t tmp_sig[RTE_MEMBER_LOOKUP_BULK_MAX];
|
|
|
|
uint32_t prim_buckets[RTE_MEMBER_LOOKUP_BULK_MAX];
|
|
|
|
uint32_t sec_buckets[RTE_MEMBER_LOOKUP_BULK_MAX];
|
|
|
|
|
|
|
|
for (i = 0; i < num_keys; i++) {
|
|
|
|
get_buckets_index(ss, keys[i], &prim_buckets[i],
|
|
|
|
&sec_buckets[i], &tmp_sig[i]);
|
|
|
|
rte_prefetch0(&buckets[prim_buckets[i]]);
|
|
|
|
rte_prefetch0(&buckets[sec_buckets[i]]);
|
|
|
|
}
|
|
|
|
for (i = 0; i < num_keys; i++) {
|
|
|
|
match_cnt_tmp = 0;
|
|
|
|
|
2017-10-04 03:12:22 +00:00
|
|
|
switch (ss->sig_cmp_fn) {
|
|
|
|
#if defined(RTE_ARCH_X86) && defined(RTE_MACHINE_CPUFLAG_AVX2)
|
|
|
|
case RTE_MEMBER_COMPARE_AVX2:
|
|
|
|
search_bucket_multi_avx(prim_buckets[i], tmp_sig[i],
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
buckets, &match_cnt_tmp, match_per_key,
|
|
|
|
&set_ids[i*match_per_key]);
|
2017-10-04 03:12:22 +00:00
|
|
|
if (match_cnt_tmp < match_per_key)
|
|
|
|
search_bucket_multi_avx(sec_buckets[i],
|
|
|
|
tmp_sig[i], buckets, &match_cnt_tmp,
|
|
|
|
match_per_key,
|
|
|
|
&set_ids[i*match_per_key]);
|
|
|
|
match_count[i] = match_cnt_tmp;
|
|
|
|
if (match_cnt_tmp != 0)
|
|
|
|
num_matches++;
|
|
|
|
break;
|
|
|
|
#endif
|
|
|
|
default:
|
|
|
|
search_bucket_multi(prim_buckets[i], tmp_sig[i],
|
|
|
|
buckets, &match_cnt_tmp, match_per_key,
|
|
|
|
&set_ids[i*match_per_key]);
|
|
|
|
if (match_cnt_tmp < match_per_key)
|
|
|
|
search_bucket_multi(sec_buckets[i], tmp_sig[i],
|
|
|
|
buckets, &match_cnt_tmp, match_per_key,
|
|
|
|
&set_ids[i*match_per_key]);
|
|
|
|
match_count[i] = match_cnt_tmp;
|
|
|
|
if (match_cnt_tmp != 0)
|
|
|
|
num_matches++;
|
|
|
|
}
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
}
|
|
|
|
return num_matches;
|
|
|
|
}
|
|
|
|
|
|
|
|
static inline int
|
|
|
|
try_insert(struct member_ht_bucket *buckets, uint32_t prim, uint32_t sec,
|
|
|
|
member_sig_t sig, member_set_t set_id)
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
/* If not full then insert into one slot */
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
|
|
|
|
if (buckets[prim].sets[i] == RTE_MEMBER_NO_MATCH) {
|
|
|
|
buckets[prim].sigs[i] = sig;
|
|
|
|
buckets[prim].sets[i] = set_id;
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
/* If prim failed, we need to access second bucket */
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
|
|
|
|
if (buckets[sec].sets[i] == RTE_MEMBER_NO_MATCH) {
|
|
|
|
buckets[sec].sigs[i] = sig;
|
|
|
|
buckets[sec].sets[i] = set_id;
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return -1;
|
|
|
|
}
|
|
|
|
|
|
|
|
static inline int
|
|
|
|
try_update(struct member_ht_bucket *buckets, uint32_t prim, uint32_t sec,
|
2017-10-04 03:12:22 +00:00
|
|
|
member_sig_t sig, member_set_t set_id,
|
|
|
|
enum rte_member_sig_compare_function cmp_fn)
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
{
|
2017-10-04 03:12:22 +00:00
|
|
|
switch (cmp_fn) {
|
|
|
|
#if defined(RTE_ARCH_X86) && defined(RTE_MACHINE_CPUFLAG_AVX2)
|
|
|
|
case RTE_MEMBER_COMPARE_AVX2:
|
|
|
|
if (update_entry_search_avx(prim, sig, buckets, set_id) ||
|
|
|
|
update_entry_search_avx(sec, sig, buckets,
|
|
|
|
set_id))
|
|
|
|
return 0;
|
|
|
|
break;
|
|
|
|
#endif
|
|
|
|
default:
|
|
|
|
if (update_entry_search(prim, sig, buckets, set_id) ||
|
|
|
|
update_entry_search(sec, sig, buckets,
|
|
|
|
set_id))
|
|
|
|
return 0;
|
|
|
|
}
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
return -1;
|
|
|
|
}
|
|
|
|
|
|
|
|
static inline int
|
|
|
|
evict_from_bucket(void)
|
|
|
|
{
|
|
|
|
/* For now, we randomly pick one entry to evict */
|
|
|
|
return rte_rand() & (RTE_MEMBER_BUCKET_ENTRIES - 1);
|
|
|
|
}
|
|
|
|
|
|
|
|
/*
|
|
|
|
* This function is similar to the cuckoo hash make_space function in hash
|
|
|
|
* library
|
|
|
|
*/
|
|
|
|
static inline int
|
|
|
|
make_space_bucket(const struct rte_member_setsum *ss, uint32_t bkt_idx,
|
|
|
|
unsigned int *nr_pushes)
|
|
|
|
{
|
|
|
|
unsigned int i, j;
|
|
|
|
int ret;
|
|
|
|
struct member_ht_bucket *buckets = ss->table;
|
|
|
|
uint32_t next_bucket_idx;
|
|
|
|
struct member_ht_bucket *next_bkt[RTE_MEMBER_BUCKET_ENTRIES];
|
|
|
|
struct member_ht_bucket *bkt = &buckets[bkt_idx];
|
|
|
|
/* MSB is set to indicate if an entry has been already pushed */
|
|
|
|
member_set_t flag_mask = 1U << (sizeof(member_set_t) * 8 - 1);
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Push existing item (search for bucket with space in
|
|
|
|
* alternative locations) to its alternative location
|
|
|
|
*/
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
|
|
|
|
/* Search for space in alternative locations */
|
|
|
|
next_bucket_idx = (bkt->sigs[i] ^ bkt_idx) & ss->bucket_mask;
|
|
|
|
next_bkt[i] = &buckets[next_bucket_idx];
|
|
|
|
for (j = 0; j < RTE_MEMBER_BUCKET_ENTRIES; j++) {
|
|
|
|
if (next_bkt[i]->sets[j] == RTE_MEMBER_NO_MATCH)
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (j != RTE_MEMBER_BUCKET_ENTRIES)
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* Alternative location has spare room (end of recursive function) */
|
|
|
|
if (i != RTE_MEMBER_BUCKET_ENTRIES) {
|
|
|
|
next_bkt[i]->sigs[j] = bkt->sigs[i];
|
|
|
|
next_bkt[i]->sets[j] = bkt->sets[i];
|
|
|
|
return i;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* Pick entry that has not been pushed yet */
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++)
|
|
|
|
if ((bkt->sets[i] & flag_mask) == 0)
|
|
|
|
break;
|
|
|
|
|
|
|
|
/* All entries have been pushed, so entry cannot be added */
|
|
|
|
if (i == RTE_MEMBER_BUCKET_ENTRIES ||
|
|
|
|
++(*nr_pushes) > RTE_MEMBER_MAX_PUSHES)
|
|
|
|
return -ENOSPC;
|
|
|
|
|
|
|
|
next_bucket_idx = (bkt->sigs[i] ^ bkt_idx) & ss->bucket_mask;
|
|
|
|
/* Set flag to indicate that this entry is going to be pushed */
|
|
|
|
bkt->sets[i] |= flag_mask;
|
|
|
|
|
|
|
|
/* Need room in alternative bucket to insert the pushed entry */
|
|
|
|
ret = make_space_bucket(ss, next_bucket_idx, nr_pushes);
|
|
|
|
/*
|
|
|
|
* After recursive function.
|
|
|
|
* Clear flags and insert the pushed entry
|
|
|
|
* in its alternative location if successful,
|
|
|
|
* or return error
|
|
|
|
*/
|
|
|
|
bkt->sets[i] &= ~flag_mask;
|
|
|
|
if (ret >= 0) {
|
|
|
|
next_bkt[i]->sigs[ret] = bkt->sigs[i];
|
|
|
|
next_bkt[i]->sets[ret] = bkt->sets[i];
|
|
|
|
return i;
|
|
|
|
} else
|
|
|
|
return ret;
|
|
|
|
}
|
|
|
|
|
|
|
|
int
|
|
|
|
rte_member_add_ht(const struct rte_member_setsum *ss,
|
|
|
|
const void *key, member_set_t set_id)
|
|
|
|
{
|
|
|
|
int ret;
|
|
|
|
unsigned int nr_pushes = 0;
|
|
|
|
uint32_t prim_bucket, sec_bucket;
|
|
|
|
member_sig_t tmp_sig;
|
|
|
|
struct member_ht_bucket *buckets = ss->table;
|
|
|
|
member_set_t flag_mask = 1U << (sizeof(member_set_t) * 8 - 1);
|
|
|
|
|
|
|
|
if (set_id == RTE_MEMBER_NO_MATCH || (set_id & flag_mask) != 0)
|
|
|
|
return -EINVAL;
|
|
|
|
|
|
|
|
get_buckets_index(ss, key, &prim_bucket, &sec_bucket, &tmp_sig);
|
|
|
|
|
|
|
|
/*
|
|
|
|
* If it is cache based setsummary, we try overwriting (updating)
|
|
|
|
* existing entry with the same signature first. In cache mode, we allow
|
|
|
|
* false negatives and only cache the most recent keys.
|
|
|
|
*
|
|
|
|
* For non-cache mode, we do not update existing entry with the same
|
|
|
|
* signature. This is because if two keys with same signature update
|
|
|
|
* each other, false negative may happen, which is not the expected
|
|
|
|
* behavior for non-cache setsummary.
|
|
|
|
*/
|
|
|
|
if (ss->cache) {
|
|
|
|
ret = try_update(buckets, prim_bucket, sec_bucket, tmp_sig,
|
2017-10-04 03:12:22 +00:00
|
|
|
set_id, ss->sig_cmp_fn);
|
member: implement HT mode
One of the set-summary structures is hash-table based
set-summary (HTSS). One example is cuckoo filter [1].
Comparing to a traditional hash table, HTSS has a much more
compact structure. For each element, only one signature and
its corresponding set ID is stored. No key comparison is required
during lookup. For the table structure, there are multiple entries
in each bucket, and the table is composed of many buckets.
Two modes are supported for HTSS, "cache" and "none-cache" modes.
The non-cache mode is similar to the cuckoo filter [1].
When a bucket is full, one entry will be evicted to its
alternative bucket to make space for the new key. The table could
be full and then no more keys could be inserted. This mode has
false-positive rate but no false-negative. Multiple entries
with same signature could stay in the same bucket.
The "cache" mode does not evict key to its alternative bucket
when a bucket is full, an existing key will be evicted out of
the table like a cache. Thus, the table will never reject keys when
it is full. Another property is in each bucket, there cannot be
multiple entries with same signature. The mode could have both
false-positive and false-negative probability.
This patch adds the implementation of HTSS.
[1] B Fan, D G Andersen and M Kaminsky, “Cuckoo Filter: Practically
Better Than Bloom,” in Conference on emerging Networking
Experiments and Technologies, 2014.
Signed-off-by: Yipeng Wang <yipeng1.wang@intel.com>
Reviewed-by: Pablo de Lara <pablo.de.lara.guarch@intel.com>
2017-10-04 03:12:20 +00:00
|
|
|
if (ret != -1)
|
|
|
|
return ret;
|
|
|
|
}
|
|
|
|
/* If not full then insert into one slot */
|
|
|
|
ret = try_insert(buckets, prim_bucket, sec_bucket, tmp_sig, set_id);
|
|
|
|
if (ret != -1)
|
|
|
|
return ret;
|
|
|
|
|
|
|
|
/* Random pick prim or sec for recursive displacement */
|
|
|
|
uint32_t select_bucket = (tmp_sig && 1U) ? prim_bucket : sec_bucket;
|
|
|
|
if (ss->cache) {
|
|
|
|
ret = evict_from_bucket();
|
|
|
|
buckets[select_bucket].sigs[ret] = tmp_sig;
|
|
|
|
buckets[select_bucket].sets[ret] = set_id;
|
|
|
|
return 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
ret = make_space_bucket(ss, select_bucket, &nr_pushes);
|
|
|
|
if (ret >= 0) {
|
|
|
|
buckets[select_bucket].sigs[ret] = tmp_sig;
|
|
|
|
buckets[select_bucket].sets[ret] = set_id;
|
|
|
|
ret = 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
return ret;
|
|
|
|
}
|
|
|
|
|
|
|
|
void
|
|
|
|
rte_member_free_ht(struct rte_member_setsum *ss)
|
|
|
|
{
|
|
|
|
rte_free(ss->table);
|
|
|
|
}
|
|
|
|
|
|
|
|
int
|
|
|
|
rte_member_delete_ht(const struct rte_member_setsum *ss, const void *key,
|
|
|
|
member_set_t set_id)
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
uint32_t prim_bucket, sec_bucket;
|
|
|
|
member_sig_t tmp_sig;
|
|
|
|
struct member_ht_bucket *buckets = ss->table;
|
|
|
|
|
|
|
|
get_buckets_index(ss, key, &prim_bucket, &sec_bucket, &tmp_sig);
|
|
|
|
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
|
|
|
|
if (tmp_sig == buckets[prim_bucket].sigs[i] &&
|
|
|
|
set_id == buckets[prim_bucket].sets[i]) {
|
|
|
|
buckets[prim_bucket].sets[i] = RTE_MEMBER_NO_MATCH;
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
for (i = 0; i < RTE_MEMBER_BUCKET_ENTRIES; i++) {
|
|
|
|
if (tmp_sig == buckets[sec_bucket].sigs[i] &&
|
|
|
|
set_id == buckets[sec_bucket].sets[i]) {
|
|
|
|
buckets[sec_bucket].sets[i] = RTE_MEMBER_NO_MATCH;
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return -ENOENT;
|
|
|
|
}
|
|
|
|
|
|
|
|
void
|
|
|
|
rte_member_reset_ht(const struct rte_member_setsum *ss)
|
|
|
|
{
|
|
|
|
uint32_t i, j;
|
|
|
|
struct member_ht_bucket *buckets = ss->table;
|
|
|
|
|
|
|
|
for (i = 0; i < ss->bucket_cnt; i++) {
|
|
|
|
for (j = 0; j < RTE_MEMBER_BUCKET_ENTRIES; j++)
|
|
|
|
buckets[i].sets[j] = RTE_MEMBER_NO_MATCH;
|
|
|
|
}
|
|
|
|
}
|