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ovs/lib/classifier.h
Ben Pfaff 06f8162043 classifier: Use fat_rwlock instead of ovs_rwlock.
Jarno Rajahalme reported up to 40% performance gain on netperf TCP_CRR with
an earlier version of this patch in combination with a kernel NUMA patch,
together with a reduction in variance:
    http://openvswitch.org/pipermail/dev/2014-January/035867.html

Signed-off-by: Ben Pfaff <blp@nicira.com>
Acked-by: Ethan Jackson <ethan@nicira.com>
2014-01-14 14:45:10 -08:00

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/*
* Copyright (c) 2009, 2010, 2011, 2012, 2013 Nicira, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at:
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef CLASSIFIER_H
#define CLASSIFIER_H 1
/* Flow classifier.
*
*
* What?
* =====
*
* A flow classifier holds any number of "rules", each of which specifies
* values to match for some fields or subfields and a priority. Each OpenFlow
* table is implemented as a flow classifier.
*
* The classifier has two primary design goals. The first is obvious: given a
* set of packet headers, as quickly as possible find the highest-priority rule
* that matches those headers. The following section describes the second
* goal.
*
*
* "Un-wildcarding"
* ================
*
* A primary goal of the flow classifier is to produce, as a side effect of a
* packet lookup, a wildcard mask that indicates which bits of the packet
* headers were essential to the classification result. Ideally, a 1-bit in
* any position of this mask means that, if the corresponding bit in the packet
* header were flipped, then the classification result might change. A 0-bit
* means that changing the packet header bit would have no effect. Thus, the
* wildcarded bits are the ones that played no role in the classification
* decision.
*
* Such a wildcard mask is useful with datapaths that support installing flows
* that wildcard fields or subfields. If an OpenFlow lookup for a TCP flow
* does not actually look at the TCP source or destination ports, for example,
* then the switch may install into the datapath a flow that wildcards the port
* numbers, which in turn allows the datapath to handle packets that arrive for
* other TCP source or destination ports without additional help from
* ovs-vswitchd. This is useful for the Open vSwitch software and,
* potentially, for ASIC-based switches as well.
*
* Some properties of the wildcard mask:
*
* - "False 1-bits" are acceptable, that is, setting a bit in the wildcard
* mask to 1 will never cause a packet to be forwarded the wrong way.
* As a corollary, a wildcard mask composed of all 1-bits will always
* yield correct (but often needlessly inefficient) behavior.
*
* - "False 0-bits" can cause problems, so they must be avoided. In the
* extreme case, a mask of all 0-bits is only correct if the classifier
* contains only a single flow that matches all packets.
*
* - 0-bits are desirable because they allow the datapath to act more
* autonomously, relying less on ovs-vswitchd to process flow setups,
* thereby improving performance.
*
* - We don't know a good way to generate wildcard masks with the maximum
* (correct) number of 0-bits. We use various approximations, described
* in later sections.
*
* - Wildcard masks for lookups in a given classifier yield a
* non-overlapping set of rules. More specifically:
*
* Consider an classifier C1 filled with an arbitrary collection of rules
* and an empty classifier C2. Now take a set of packet headers H and
* look it up in C1, yielding a highest-priority matching rule R1 and
* wildcard mask M. Form a new classifier rule R2 out of packet headers
* H and mask M, and add R2 to C2 with a fixed priority. If one were to
* do this for every possible set of packet headers H, then this
* process would not attempt to add any overlapping rules to C2, that is,
* any packet lookup using the rules generated by this process matches at
* most one rule in C2.
*
* During the lookup process, the classifier starts out with a wildcard mask
* that is all 0-bits, that is, fully wildcarded. As lookup proceeds, each
* step tends to add constraints to the wildcard mask, that is, change
* wildcarded 0-bits into exact-match 1-bits. We call this "un-wildcarding".
* A lookup step that examines a particular field must un-wildcard that field.
* In general, un-wildcarding is necessary for correctness but undesirable for
* performance.
*
*
* Basic Classifier Design
* =======================
*
* Suppose that all the rules in a classifier had the same form. For example,
* suppose that they all matched on the source and destination Ethernet address
* and wildcarded all the other fields. Then the obvious way to implement a
* classifier would be a hash table on the source and destination Ethernet
* addresses. If new classification rules came along with a different form,
* you could add a second hash table that hashed on the fields matched in those
* rules. With two hash tables, you look up a given flow in each hash table.
* If there are no matches, the classifier didn't contain a match; if you find
* a match in one of them, that's the result; if you find a match in both of
* them, then the result is the rule with the higher priority.
*
* This is how the classifier works. In a "struct classifier", each form of
* "struct cls_rule" present (based on its ->match.mask) goes into a separate
* "struct cls_subtable". A lookup does a hash lookup in every "struct
* cls_subtable" in the classifier and tracks the highest-priority match that
* it finds. The subtables are kept in a descending priority order according
* to the highest priority rule in each subtable, which allows lookup to skip
* over subtables that can't possibly have a higher-priority match than already
* found. Eliminating lookups through priority ordering aids both classifier
* primary design goals: skipping lookups saves time and avoids un-wildcarding
* fields that those lookups would have examined.
*
* One detail: a classifier can contain multiple rules that are identical other
* than their priority. When this happens, only the highest priority rule out
* of a group of otherwise identical rules is stored directly in the "struct
* cls_subtable", with the other almost-identical rules chained off a linked
* list inside that highest-priority rule.
*
*
* Staged Lookup (Wildcard Optimization)
* =====================================
*
* Subtable lookup is performed in ranges defined for struct flow, starting
* from metadata (registers, in_port, etc.), then L2 header, L3, and finally
* L4 ports. Whenever it is found that there are no matches in the current
* subtable, the rest of the subtable can be skipped.
*
* Staged lookup does not reduce lookup time, and it may increase it, because
* it changes a single hash table lookup into multiple hash table lookups.
* It reduces un-wildcarding significantly in important use cases.
*
*
* Prefix Tracking (Wildcard Optimization)
* =======================================
*
* Classifier uses prefix trees ("tries") for tracking the used
* address space, enabling skipping classifier tables containing
* longer masks than necessary for the given address. This reduces
* un-wildcarding for datapath flows in parts of the address space
* without host routes, but consulting extra data structures (the
* tries) may slightly increase lookup time.
*
* Trie lookup is interwoven with staged lookup, so that a trie is
* searched only when the configured trie field becomes relevant for
* the lookup. The trie lookup results are retained so that each trie
* is checked at most once for each classifier lookup.
*
* This implementation tracks the number of rules at each address
* prefix for the whole classifier. More aggressive table skipping
* would be possible by maintaining lists of tables that have prefixes
* at the lengths encountered on tree traversal, or by maintaining
* separate tries for subsets of rules separated by metadata fields.
*
* Prefix tracking is configured via OVSDB "Flow_Table" table,
* "fieldspec" column. "fieldspec" is a string map where a "prefix"
* key tells which fields should be used for prefix tracking. The
* value of the "prefix" key is a comma separated list of field names.
*
* There is a maximum number of fields that can be enabled for any one
* flow table. Currently this limit is 3.
*
*
* Partitioning (Lookup Time and Wildcard Optimization)
* ====================================================
*
* Suppose that a given classifier is being used to handle multiple stages in a
* pipeline using "resubmit", with metadata (that is, the OpenFlow 1.1+ field
* named "metadata") distinguishing between the different stages. For example,
* metadata value 1 might identify ingress rules, metadata value 2 might
* identify ACLs, and metadata value 3 might identify egress rules. Such a
* classifier is essentially partitioned into multiple sub-classifiers on the
* basis of the metadata value.
*
* The classifier has a special optimization to speed up matching in this
* scenario:
*
* - Each cls_subtable that matches on metadata gets a tag derived from the
* subtable's mask, so that it is likely that each subtable has a unique
* tag. (Duplicate tags have a performance cost but do not affect
* correctness.)
*
* - For each metadata value matched by any cls_rule, the classifier
* constructs a "struct cls_partition" indexed by the metadata value.
* The cls_partition has a 'tags' member whose value is the bitwise-OR of
* the tags of each cls_subtable that contains any rule that matches on
* the cls_partition's metadata value. In other words, struct
* cls_partition associates metadata values with subtables that need to
* be checked with flows with that specific metadata value.
*
* Thus, a flow lookup can start by looking up the partition associated with
* the flow's metadata, and then skip over any cls_subtable whose 'tag' does
* not intersect the partition's 'tags'. (The flow must also be looked up in
* any cls_subtable that doesn't match on metadata. We handle that by giving
* any such cls_subtable TAG_ALL as its 'tags' so that it matches any tag.)
*
* Partitioning saves lookup time by reducing the number of subtable lookups.
* Each eliminated subtable lookup also reduces the amount of un-wildcarding.
*
*
* Thread-safety
* =============
*
* The classifier may safely be accessed by many reader threads concurrently or
* by a single writer. */
#include "fat-rwlock.h"
#include "flow.h"
#include "hindex.h"
#include "hmap.h"
#include "list.h"
#include "match.h"
#include "meta-flow.h"
#include "tag.h"
#include "openflow/nicira-ext.h"
#include "openflow/openflow.h"
#include "ovs-thread.h"
#include "util.h"
#ifdef __cplusplus
extern "C" {
#endif
/* Needed only for the lock annotation in struct classifier. */
extern struct ovs_mutex ofproto_mutex;
struct trie_node;
/* Prefix trie for a 'field' */
struct cls_trie {
const struct mf_field *field; /* Trie field, or NULL. */
struct trie_node *root; /* NULL if none. */
};
enum {
CLS_MAX_INDICES = 3, /* Maximum number of lookup indices per subtable. */
CLS_MAX_TRIES = 3 /* Maximum number of prefix trees per classifier. */
};
/* A flow classifier. */
struct classifier {
int n_rules; /* Total number of rules. */
uint8_t n_flow_segments;
uint8_t flow_segments[CLS_MAX_INDICES]; /* Flow segment boundaries to use
* for staged lookup. */
struct hmap subtables; /* Contains "struct cls_subtable"s. */
struct list subtables_priority; /* Subtables in descending priority order.
*/
struct hmap partitions; /* Contains "struct cls_partition"s. */
struct fat_rwlock rwlock OVS_ACQ_AFTER(ofproto_mutex);
struct cls_trie tries[CLS_MAX_TRIES]; /* Prefix tries. */
unsigned int n_tries;
};
/* A set of rules that all have the same fields wildcarded. */
struct cls_subtable {
struct hmap_node hmap_node; /* Within struct classifier 'subtables' hmap.
*/
struct list list_node; /* Within classifier 'subtables_priority' list.
*/
struct hmap rules; /* Contains "struct cls_rule"s. */
struct minimask mask; /* Wildcards for fields. */
int n_rules; /* Number of rules, including duplicates. */
unsigned int max_priority; /* Max priority of any rule in the subtable. */
unsigned int max_count; /* Count of max_priority rules. */
tag_type tag; /* Tag generated from mask for partitioning. */
uint8_t n_indices; /* How many indices to use. */
uint8_t index_ofs[CLS_MAX_INDICES]; /* u32 flow segment boundaries. */
struct hindex indices[CLS_MAX_INDICES]; /* Staged lookup indices. */
unsigned int trie_plen[CLS_MAX_TRIES]; /* Trie prefix length in 'mask'. */
};
/* Returns true if 'table' is a "catch-all" subtable that will match every
* packet (if there is no higher-priority match). */
static inline bool
cls_subtable_is_catchall(const struct cls_subtable *subtable)
{
return minimask_is_catchall(&subtable->mask);
}
/* A rule in a "struct cls_subtable". */
struct cls_rule {
struct hmap_node hmap_node; /* Within struct cls_subtable 'rules'. */
struct list list; /* List of identical, lower-priority rules. */
struct minimatch match; /* Matching rule. */
unsigned int priority; /* Larger numbers are higher priorities. */
struct cls_partition *partition;
struct hindex_node index_nodes[CLS_MAX_INDICES]; /* Within subtable's
* 'indices'. */
};
/* Associates a metadata value (that is, a value of the OpenFlow 1.1+ metadata
* field) with tags for the "cls_subtable"s that contain rules that match that
* metadata value. */
struct cls_partition {
struct hmap_node hmap_node; /* In struct classifier's 'partitions' hmap. */
ovs_be64 metadata; /* metadata value for this partition. */
tag_type tags; /* OR of each flow's cls_subtable tag. */
struct tag_tracker tracker; /* Tracks the bits in 'tags'. */
};
void cls_rule_init(struct cls_rule *, const struct match *,
unsigned int priority);
void cls_rule_init_from_minimatch(struct cls_rule *, const struct minimatch *,
unsigned int priority);
void cls_rule_clone(struct cls_rule *, const struct cls_rule *);
void cls_rule_move(struct cls_rule *dst, struct cls_rule *src);
void cls_rule_destroy(struct cls_rule *);
bool cls_rule_equal(const struct cls_rule *, const struct cls_rule *);
uint32_t cls_rule_hash(const struct cls_rule *, uint32_t basis);
void cls_rule_format(const struct cls_rule *, struct ds *);
bool cls_rule_is_catchall(const struct cls_rule *);
bool cls_rule_is_loose_match(const struct cls_rule *rule,
const struct minimatch *criteria);
void classifier_init(struct classifier *cls, const uint8_t *flow_segments);
void classifier_destroy(struct classifier *);
void classifier_set_prefix_fields(struct classifier *cls,
const enum mf_field_id *trie_fields,
unsigned int n_trie_fields)
OVS_REQ_WRLOCK(cls->rwlock);
bool classifier_is_empty(const struct classifier *cls)
OVS_REQ_RDLOCK(cls->rwlock);
int classifier_count(const struct classifier *cls)
OVS_REQ_RDLOCK(cls->rwlock);
void classifier_insert(struct classifier *cls, struct cls_rule *)
OVS_REQ_WRLOCK(cls->rwlock);
struct cls_rule *classifier_replace(struct classifier *cls, struct cls_rule *)
OVS_REQ_WRLOCK(cls->rwlock);
void classifier_remove(struct classifier *cls, struct cls_rule *)
OVS_REQ_WRLOCK(cls->rwlock);
struct cls_rule *classifier_lookup(const struct classifier *cls,
const struct flow *,
struct flow_wildcards *)
OVS_REQ_RDLOCK(cls->rwlock);
bool classifier_rule_overlaps(const struct classifier *cls,
const struct cls_rule *)
OVS_REQ_RDLOCK(cls->rwlock);
typedef void cls_cb_func(struct cls_rule *, void *aux);
struct cls_rule *classifier_find_rule_exactly(const struct classifier *cls,
const struct cls_rule *)
OVS_REQ_RDLOCK(cls->rwlock);
struct cls_rule *classifier_find_match_exactly(const struct classifier *cls,
const struct match *,
unsigned int priority)
OVS_REQ_RDLOCK(cls->rwlock);
/* Iteration. */
struct cls_cursor {
const struct classifier *cls;
const struct cls_subtable *subtable;
const struct cls_rule *target;
};
void cls_cursor_init(struct cls_cursor *cursor, const struct classifier *cls,
const struct cls_rule *match) OVS_REQ_RDLOCK(cls->rwlock);
struct cls_rule *cls_cursor_first(struct cls_cursor *cursor);
struct cls_rule *cls_cursor_next(struct cls_cursor *, const struct cls_rule *);
#define CLS_CURSOR_FOR_EACH(RULE, MEMBER, CURSOR) \
for (ASSIGN_CONTAINER(RULE, cls_cursor_first(CURSOR), MEMBER); \
RULE != OBJECT_CONTAINING(NULL, RULE, MEMBER); \
ASSIGN_CONTAINER(RULE, cls_cursor_next(CURSOR, &(RULE)->MEMBER), \
MEMBER))
#define CLS_CURSOR_FOR_EACH_SAFE(RULE, NEXT, MEMBER, CURSOR) \
for (ASSIGN_CONTAINER(RULE, cls_cursor_first(CURSOR), MEMBER); \
(RULE != OBJECT_CONTAINING(NULL, RULE, MEMBER) \
? ASSIGN_CONTAINER(NEXT, cls_cursor_next(CURSOR, &(RULE)->MEMBER), \
MEMBER), 1 \
: 0); \
(RULE) = (NEXT))
#ifdef __cplusplus
}
#endif
#endif /* classifier.h */