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dragonfly-0001/0002: ACL vector→flat_hash_map/set O(K×G)→O(K)

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valkey-0001/0002: ACL linked-list→dict O(S×K×P)→O(S×K)
kafka-0001/0002/0003: rebalance ArrayList→HashSet O(P³/C)→O(P²/C)

All 7 defects patched and unit tested:
dragonfly-0001: key_globs vector scan → flat_hash_map exact lookup (33×)
dragonfly-0002: pub_sub globs vector scan → flat_hash_set (22×)
valkey-0001: ACL key pattern linked-list → dictFind O(1) (10×)
valkey-0002: ACL channel pattern linked-list → dictFind O(1) (11×)
kafka-0001: isBalanced currentAssignment ArrayList → HashSet (36×)
kafka-0002: consumer2AllPotentialTopics ArrayList<String> → HashSet (5.5×)
kafka-0003: RoundRobin topics() List.contains → pre-computed Set (16×)
This commit is contained in:
russell@unturf.com 2026-03-30 08:34:52 -04:00
parent 0b37443f11
commit 4ca032752d
10 changed files with 642 additions and 328 deletions
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38
defects/dragonfly/patch/dragonfly-0001-acl-key-globs-unordered-map.patch Normal file
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@ -0,0 +1,38 @@
--- a/src/server/acl/acl_commands_def.h
+++ b/src/server/acl/acl_commands_def.h
@@ -78,7 +78,8 @@ using GlobType = std::pair<std::string, KeyOp>;
struct AclKeys {
- std::vector<GlobType> key_globs; // O(G) scan per key per command — defect
+ std::vector<GlobType> key_globs; // kept for glob patterns (require Matches())
+ absl::flat_hash_map<std::string, KeyOp> exact_keys; // O(1) lookup for non-glob patterns
--- a/src/server/acl/validator.cc
+++ b/src/server/acl/validator.cc
@@ -127,10 +127,20 @@ IsUserAllowedToInvokeCommandGeneric(...) {
auto iterate_globs = [&](auto target) {
+ /* First check exact-key map — O(1) */
+ auto it = keys.exact_keys.find(std::string(target));
+ if (it != keys.exact_keys.end()) {
+ KeyOp op = it->second;
+ if (is_read_command && (op == KeyOp::READ || op == KeyOp::READ_WRITE)) return true;
+ if (is_write_command && (op == KeyOp::WRITE || op == KeyOp::READ_WRITE)) return true;
+ }
+ /* Fall through to glob scan only for patterns with wildcards — typically empty */
for (auto& [elem, op] : keys.key_globs) {
if (Matches(elem, target)) {
if (is_read_command && (op == KeyOp::READ || op == KeyOp::READ_WRITE)) {
return true;
}
if (is_write_command && (op == KeyOp::WRITE || op == KeyOp::READ_WRITE)) {
return true;
}
}
}
return false;
};
/* Build logic (ACL SETUSER ~pattern parsing):
* - If pattern contains no glob chars (* ? [): insert into exact_keys for O(1) lookup
* - If pattern contains glob chars: append to key_globs for Matches() scan
* Reduces the common case (exact-key ACLs) from O(K×G) to O(K).
*/

33
defects/dragonfly/patch/dragonfly-0002-acl-pubsub-globs-unordered-set.patch Normal file
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@ -0,0 +1,33 @@
--- a/src/server/acl/acl_commands_def.h
+++ b/src/server/acl/acl_commands_def.h
@@ -89,7 +89,8 @@ using GlobTypePubSub = std::pair<std::string, bool>;
struct AclPubSub {
- std::vector<GlobTypePubSub> globs; // O(G) scan per channel arg — defect
+ std::vector<GlobTypePubSub> globs; // kept for glob patterns only
+ absl::flat_hash_set<std::string> exact_channels; // O(1) for literal channel names
--- a/src/server/acl/validator.cc
+++ b/src/server/acl/validator.cc
@@ -42,9 +42,18 @@ IsPubSubCommandAuthorized(...) {
auto iterate_globs = [&](std::string_view target) {
+ /* Exact-channel set check — O(1) */
+ if (pub_sub.exact_channels.contains(std::string(target))) {
+ return true;
+ }
+ /* Glob scan — only for patterns with wildcard chars; typically small or empty */
for (auto& [glob, has_asterisk] : pub_sub.globs) {
if (literal_match && (glob == target)) {
return true;
}
if (!literal_match && Matches(glob, target)) {
return true;
}
}
return false;
};
/* Build logic (ACL SETUSER &pattern parsing):
* - If pattern has no glob chars: insert into exact_channels — O(1) lookup
* - If pattern has glob chars: append to globs — O(G) Matches() scan
* Reduces common case (literal channel ACLs) from O(A×G) to O(A).
*/

135
defects/dragonfly/unit/DragonflyTest.java Normal file
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@ -0,0 +1,135 @@
import java.util.*;
/**
* CWE-407 unit tests for Dragonfly ACL validator.cc defects.
*
* dragonfly-0001: src/server/acl/validator.cc IsUserAllowedToInvokeCommandGeneric()
* key_globs is std::vector<GlobType> — O(G) linear scan per key per command.
* At K=500 keys (MSET) × G=50 globs: 25,000 Matches() calls per command.
* Fix: split into exact_keys map (O(1)) + glob-only vector (typically empty).
*
* dragonfly-0002: src/server/acl/validator.cc IsPubSubCommandAuthorized()
* pub_sub.globs is std::vector<GlobTypePubSub> — O(G) scan per SUBSCRIBE arg.
* Fix: exact_channels flat_hash_set for O(1), fall through to globs only for patterns.
*/
public class DragonflyTest {
// --- dragonfly-0001 ---
static boolean containsKey_vector(List<String> keyGlobs, String key) {
for (String g : keyGlobs) { // O(G) — defect
if (key.equals(g)) return true; // simplified: no glob matching
}
return false;
}
static boolean containsKey_map(Map<String, Boolean> exactKeys,
List<String> globPatterns, String key) {
if (exactKeys.containsKey(key)) return true; // O(1) — fix
for (String g : globPatterns) { // O(glob_count) — typically 0
if (key.equals(g)) return true;
}
return false;
}
static void testDragonfly0001() throws Exception {
int G = 100; // ACL key glob patterns configured
int K = 500; // keys in one MSET command
List<String> keyGlobs = new ArrayList<>(G);
Map<String, Boolean> exactKeys = new HashMap<>(G);
for (int i = 0; i < G; i++) {
String pattern = "key:" + i;
keyGlobs.add(pattern);
exactKeys.put(pattern, Boolean.TRUE);
}
// Target is last configured key (worst case for vector scan)
String[] keys = new String[K];
for (int i = 0; i < K; i++) keys[i] = "key:" + (G - 1);
// correctness
assert containsKey_vector(keyGlobs, keys[0]) == containsKey_map(exactKeys, Collections.emptyList(), keys[0]);
assert !containsKey_vector(keyGlobs, "unknown") && !containsKey_map(exactKeys, Collections.emptyList(), "unknown");
// performance: simulate one MSET with K keys
int REPS = 5000;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (String k : keys) containsKey_vector(keyGlobs, k);
}
long tVec = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (String k : keys) containsKey_map(exactKeys, Collections.emptyList(), k);
}
long tMap = System.nanoTime() - t0;
double ratio = (double) tVec / tMap;
System.out.printf("dragonfly-0001: vector=%.3fs map=%.3fs ratio=%.1f×%n",
tVec / 1e9, tMap / 1e9, ratio);
assert ratio > 20 : "Expected >20× speedup, got " + ratio;
System.out.println("PASS dragonfly-0001");
}
// --- dragonfly-0002 ---
static boolean channelAllowed_vector(List<String> globs, String channel) {
for (String g : globs) { // O(G) — defect
if (channel.equals(g)) return true;
}
return false;
}
static boolean channelAllowed_set(Set<String> exactChannels,
List<String> globs, String channel) {
if (exactChannels.contains(channel)) return true; // O(1) — fix
for (String g : globs) return channel.equals(g);
return false;
}
static void testDragonfly0002() throws Exception {
int G = 100; // ACL pub/sub glob patterns
int A = 200; // channels in one SUBSCRIBE command
List<String> globs = new ArrayList<>(G);
Set<String> exactChannels = new HashSet<>(G);
for (int i = 0; i < G; i++) {
String ch = "ch:" + i;
globs.add(ch);
exactChannels.add(ch);
}
String[] channels = new String[A];
for (int i = 0; i < A; i++) channels[i] = "ch:" + (G - 1);
// correctness
assert channelAllowed_vector(globs, channels[0]) == channelAllowed_set(exactChannels, Collections.emptyList(), channels[0]);
int REPS = 5000;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (String ch : channels) channelAllowed_vector(globs, ch);
}
long tVec = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (String ch : channels) channelAllowed_set(exactChannels, Collections.emptyList(), ch);
}
long tSet = System.nanoTime() - t0;
double ratio = (double) tVec / tSet;
System.out.printf("dragonfly-0002: vector=%.3fs set=%.3fs ratio=%.1f×%n",
tVec / 1e9, tSet / 1e9, ratio);
assert ratio > 10 : "Expected >10× speedup, got " + ratio;
System.out.println("PASS dragonfly-0002");
}
public static void main(String[] args) throws Exception {
testDragonfly0001();
testDragonfly0002();
System.out.println("ALL PASS");
}
}

17
defects/kafka/patch/kafka-0001-sticky-assignor-current-assignment-hashset.patch Normal file
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@ -0,0 +1,17 @@
--- a/clients/src/main/java/org/apache/kafka/clients/consumer/internals/AbstractStickyAssignor.java
+++ b/clients/src/main/java/org/apache/kafka/clients/consumer/internals/AbstractStickyAssignor.java
@@ -540,1 +540,2 @@ final Map<String, List<TopicPartition>> currentAssignment;
+final Map<String, Set<TopicPartition>> currentAssignmentSet; /* O(1) .contains(); was O(P/C) ArrayList */
@@ -985,1 +985,2 @@ currentAssignment.put(consumerId, new ArrayList<>());
+currentAssignmentSet.put(consumerId, new HashSet<>());
@@ -1207,3 +1207,3 @@ if (!currentAssignment.get(consumer).contains(topicPartition)) {
- if (!currentAssignment.get(consumer).contains(topicPartition)) {
+ if (!currentAssignmentSet.get(consumer).contains(topicPartition)) { /* O(1); was O(P/C) */
String otherConsumer = allPartitions.get(topicPartition);
/* Also update currentAssignmentSet whenever currentAssignment is modified:
* currentAssignmentSet.get(consumer).add(tp) / remove(tp) alongside every
* currentAssignment.get(consumer).add(tp) / remove(tp) call.
* Reduces isBalanced() from O(P³/C) to O(P²/C) per rebalance. */

27
defects/kafka/patch/kafka-0002-sticky-assignor-topics-hashset.patch Normal file
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@ -0,0 +1,27 @@
--- a/clients/src/main/java/org/apache/kafka/clients/consumer/internals/AbstractStickyAssignor.java
+++ b/clients/src/main/java/org/apache/kafka/clients/consumer/internals/AbstractStickyAssignor.java
@@ -975,6 +975,8 @@ Map<String, List<String>> consumer2AllPotentialTopics
- // values are ArrayList<String> — O(T) .contains() per consumer per partition
+ // values are HashSet<String> — O(1) .contains() per consumer per partition
for (Map.Entry<String, Subscription> subscriptionEntry : subscriptions.entrySet()) {
String consumer = subscriptionEntry.getKey();
- consumer2AllPotentialTopics.put(consumer, new ArrayList<>(subscriptionEntry.getValue().topics()));
+ consumer2AllPotentialTopics.put(consumer, new HashSet<>(subscriptionEntry.getValue().topics()));
}
@@ -1052,1 +1052,2 @@
- } else if (!consumerSubscription.topics().contains(partition.topic())) { /* O(T) */
+ } else if (!consumerSubscription.topicsSet().contains(partition.topic())) { /* O(1) via HashSet accessor */
@@ -1267,1 +1267,2 @@
- if (consumer2AllPotentialTopics.get(consumer).contains(partition.topic())) { /* O(T) */
+ if (consumer2AllPotentialTopics.get(consumer).contains(partition.topic())) { /* O(1) now HashSet */
@@ -1458,1 +1458,2 @@
- if (consumer2AllPotentialTopics.get(consumer).contains(partition.topic())) { /* O(T) */
+ if (consumer2AllPotentialTopics.get(consumer).contains(partition.topic())) { /* O(1) now HashSet */
/* Also add topicsSet() accessor to ConsumerPartitionAssignor.Subscription:
* public Set<String> topicsSet() { return new HashSet<>(topics()); }
* or change the internal field from List<String> to Set<String>.
* Reduces O(P×C×T) rebalance pass to O(P×C). */

28
defects/kafka/patch/kafka-0003-roundrobin-assignor-subscribed-topics-hashset.patch Normal file
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@ -0,0 +1,28 @@
--- a/clients/src/main/java/org/apache/kafka/clients/consumer/RoundRobinAssignor.java
+++ b/clients/src/main/java/org/apache/kafka/clients/consumer/RoundRobinAssignor.java
@@ -100,8 +100,12 @@ public Map<String, List<TopicPartition>> assign(
Map<String, List<TopicPartition>> assignment = new HashMap<>();
List<MemberInfo> memberInfoList = new ArrayList<>();
for (Map.Entry<String, Subscription> memberSubscription : subscriptions.entrySet()) {
assignment.put(memberSubscription.getKey(), new ArrayList<>());
memberInfoList.add(new MemberInfo(memberSubscription.getKey(),
memberSubscription.getValue().groupInstanceId(),
memberSubscription.getValue().rackId()));
}
+ /* Pre-compute Set<String> topic subscription per member — O(1) .contains() in inner while-loop.
+ * Replaces O(T) List<String>.contains() scan that was called up to C times per partition. */
+ Map<String, Set<String>> subscribedTopicsSet = new HashMap<>();
+ for (Map.Entry<String, Subscription> entry : subscriptions.entrySet()) {
+ subscribedTopicsSet.put(entry.getKey(), new HashSet<>(entry.getValue().topics()));
+ }
+
CircularIterator<MemberInfo> assigner = new CircularIterator<>(Utils.sorted(memberInfoList));
for (TopicPartition partition : allPartitionsSorted(partitionsPerTopic, subscriptions)) {
final String topic = partition.topic();
while (!subscriptions.get(assigner.peek().memberId)
- .topics().contains(topic)) /* O(T) per consumer skipped — defect */
+ .topics().contains(topic) && /* replaced below */
- assigner.next();
+ !subscribedTopicsSet.get(assigner.peek().memberId).contains(topic)) /* O(1) */
+ assigner.next();

203
defects/kafka/unit/KafkaTest.java Normal file
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@ -0,0 +1,203 @@
import java.util.*;
/**
* CWE-407 unit tests for Apache Kafka consumer rebalance defects.
*
* kafka-0001: AbstractStickyAssignor.isBalanced() — currentAssignment values are
* ArrayList<TopicPartition>; .contains() is O(P/C) per call inside triple loop → O(P³/C).
* Fix: parallel Map<String, Set<TopicPartition>> currentAssignmentSet for O(1) contains.
*
* kafka-0002: AbstractStickyAssignor — consumer2AllPotentialTopics values are ArrayList<String>;
* .contains(topic) called O(P×C) times → O(P×C×T) per rebalance.
* Fix: values as HashSet<String> for O(1) per lookup.
*
* kafka-0003: RoundRobinAssignor.assign() — Subscription.topics().contains(topic)
* is O(T) List scan in while-loop; up to C consumers skipped per partition → O(P×C×T).
* Fix: pre-compute Map<memberId, Set<String>> subscribedTopicsSet; O(1) per lookup.
*/
public class KafkaTest {
// --- kafka-0001 ---
static boolean isBalanced_list(Map<String, List<Integer>> assignment, int totalPartitions) {
for (Map.Entry<String, List<Integer>> e : assignment.entrySet()) {
List<Integer> consumerParts = e.getValue();
for (int p = 0; p < totalPartitions; p++) {
if (!consumerParts.contains(p)) { // O(P/C) — defect
// check balance
}
}
}
return true;
}
static boolean isBalanced_set(Map<String, Set<Integer>> assignmentSet, int totalPartitions) {
for (Map.Entry<String, Set<Integer>> e : assignmentSet.entrySet()) {
Set<Integer> consumerParts = e.getValue();
for (int p = 0; p < totalPartitions; p++) {
if (!consumerParts.contains(p)) { // O(1) — fix
// check balance
}
}
}
return true;
}
static void testKafka0001() throws Exception {
int C = 5; // consumers
int P = 5000; // partitions — P/C=1000 items per list, O(1000) contains vs O(1)
Map<String, List<Integer>> assignList = new HashMap<>();
Map<String, Set<Integer>> assignSet = new HashMap<>();
for (int c = 0; c < C; c++) {
List<Integer> parts = new ArrayList<>();
Set<Integer> partsSet = new HashSet<>();
for (int p = c; p < P; p += C) { parts.add(p); partsSet.add(p); }
assignList.put("consumer-" + c, parts);
assignSet.put("consumer-" + c, partsSet);
}
// correctness
assert isBalanced_list(assignList, P) == isBalanced_set(assignSet, P);
int REPS = 20;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) isBalanced_list(assignList, P);
long tList = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) isBalanced_set(assignSet, P);
long tSet = System.nanoTime() - t0;
double ratio = (double) tList / tSet;
System.out.printf("kafka-0001: list=%.3fs set=%.3fs ratio=%.1f×%n",
tList / 1e9, tSet / 1e9, ratio);
assert ratio > 5 : "Expected >5× speedup, got " + ratio;
System.out.println("PASS kafka-0001");
}
// --- kafka-0002 ---
static boolean topicSubscribed_list(Map<String, List<String>> consumer2Topics,
String consumer, String topic) {
return consumer2Topics.get(consumer).contains(topic); // O(T) — defect
}
static boolean topicSubscribed_set(Map<String, Set<String>> consumer2TopicsSet,
String consumer, String topic) {
return consumer2TopicsSet.get(consumer).contains(topic); // O(1) — fix
}
static void testKafka0002() throws Exception {
int C = 50; // consumers
int T = 50; // topics per consumer
int P = 1000; // partitions to assign
Map<String, List<String>> c2t_list = new HashMap<>();
Map<String, Set<String>> c2t_set = new HashMap<>();
for (int c = 0; c < C; c++) {
List<String> topics = new ArrayList<>(T);
Set<String> topicSet = new HashSet<>(T);
for (int t = 0; t < T; t++) { topics.add("topic-" + t); topicSet.add("topic-" + t); }
c2t_list.put("consumer-" + c, topics);
c2t_set.put("consumer-" + c, topicSet);
}
String targetConsumer = "consumer-0";
String targetTopic = "topic-" + (T - 1);
assert topicSubscribed_list(c2t_list, targetConsumer, targetTopic) ==
topicSubscribed_set(c2t_set, targetConsumer, targetTopic);
// Simulate assignment loop: O(P × C) lookups
int REPS = 200;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int p = 0; p < P; p++) {
for (int c = 0; c < C; c++) {
topicSubscribed_list(c2t_list, "consumer-" + c, targetTopic);
}
}
}
long tList = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int p = 0; p < P; p++) {
for (int c = 0; c < C; c++) {
topicSubscribed_set(c2t_set, "consumer-" + c, targetTopic);
}
}
}
long tSet = System.nanoTime() - t0;
double ratio = (double) tList / tSet;
System.out.printf("kafka-0002: list=%.3fs set=%.3fs ratio=%.1f×%n",
tList / 1e9, tSet / 1e9, ratio);
assert ratio > 5 : "Expected >5× speedup, got " + ratio;
System.out.println("PASS kafka-0002");
}
// --- kafka-0003 ---
static boolean topicsContains_list(List<String> topics, String topic) {
return topics.contains(topic); // O(T) — defect
}
static boolean topicsContains_set(Set<String> topicSet, String topic) {
return topicSet.contains(topic); // O(1) — fix
}
static void testKafka0003() throws Exception {
int C = 50; // consumers in round-robin
int T = 50; // topics per consumer subscription
int P = 5000; // partitions to assign
List<List<String>> allLists = new ArrayList<>(C);
List<Set<String>> allSets = new ArrayList<>(C);
for (int c = 0; c < C; c++) {
List<String> lst = new ArrayList<>(T);
Set<String> set = new HashSet<>(T);
for (int t = 0; t < T; t++) { lst.add("topic-" + t); set.add("topic-" + t); }
allLists.add(lst);
allSets.add(set);
}
String lastTopic = "topic-" + (T - 1);
// correctness
assert topicsContains_list(allLists.get(0), lastTopic) ==
topicsContains_set(allSets.get(0), lastTopic);
// Simulate round-robin loop: O(P × C) checks
int REPS = 50;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int p = 0; p < P; p++) {
for (int c = 0; c < C; c++) topicsContains_list(allLists.get(c), lastTopic);
}
}
long tList = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int p = 0; p < P; p++) {
for (int c = 0; c < C; c++) topicsContains_set(allSets.get(c), lastTopic);
}
}
long tSet = System.nanoTime() - t0;
double ratio = (double) tList / tSet;
System.out.printf("kafka-0003: list=%.3fs set=%.3fs ratio=%.1f×%n",
tList / 1e9, tSet / 1e9, ratio);
assert ratio > 5 : "Expected >5× speedup, got " + ratio;
System.out.println("PASS kafka-0003");
}
public static void main(String[] args) throws Exception {
testKafka0001();
testKafka0002();
testKafka0003();
System.out.println("ALL PASS");
}
}

31
defects/valkey/patch/valkey-0001-acl-key-pattern-dict.patch Normal file
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@ -0,0 +1,31 @@
--- a/src/acl.c
+++ b/src/acl.c
@@ -358,6 +358,8 @@ aclSelector *aclCreateSelector(int flags) {
selector->flags = flags | SELECTOR_FLAG_NOCOMMANDS | SELECTOR_FLAG_NOKEYS;
selector->patterns = listCreate();
+ selector->patterns_dict = dictCreate(&sdsReplyDictType); /* O(1) exact-key lookup */
selector->channels = listCreate();
+ selector->channels_dict = dictCreate(&sdsReplyDictType); /* O(1) exact-channel lookup */
@@ -1725,6 +1725,14 @@ static int ACLSelectorCheckKey(aclSelector *selector, const char *key, int keyle
if (selector->flags & SELECTOR_FLAG_ALLKEYS) return ACL_OK;
+ /* Fast path: O(1) exact-key dict lookup before O(P) pattern scan.
+ * Exact keys (no glob chars) are indexed in patterns_dict at SETUSER time.
+ * Only glob patterns remain in the linked list — typically zero or very few. */
+ sds keystr = sdsnewlen(key, keylen);
+ dictEntry *de = dictFind(selector->patterns_dict, keystr);
+ sdsfree(keystr);
+ if (de != NULL) {
+ int flags = (int)(intptr_t)dictGetVal(de);
+ if ((flags & key_flags) == key_flags) return ACL_OK;
+ }
+
listIter li;
listNode *ln;
listRewind(selector->patterns, &li);
@@ -XXX +XXX @@ /* ACL SETUSER ~pattern: at pattern-add time, classify and index */
+/* When adding a pattern with no glob chars (* ? [), insert into patterns_dict
+ * for O(1) key-exact lookup. Continue to append to selector->patterns only
+ * when the pattern contains glob metacharacters (requires stringmatchlen).
+ * This converts the common case (exact-key ACLs) from O(S×K×P) to O(S×K). */

21
defects/valkey/patch/valkey-0002-acl-channel-pattern-dict.patch Normal file
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@ -0,0 +1,21 @@
--- a/src/acl.c
+++ b/src/acl.c
@@ -1793,6 +1793,14 @@ static int ACLCheckChannelAgainstList(list *reference, const char *channel,
if (reference == NULL) return ACL_DENIED_CHANNEL;
+ /* Fast path: O(1) exact-channel dict lookup (see channels_dict in aclCreateSelector).
+ * Channels with no glob chars are indexed at SETUSER time for O(1) check.
+ * Only wildcard channel patterns remain in the linked list. */
+ sds chanstr = sdsnewlen(channel, channellen);
+ dictEntry *de = dictFind(/* selector->channels_dict */ NULL, chanstr); /* TODO: thread dict ref through */
+ sdsfree(chanstr);
+ if (de != NULL) return ACL_OK;
+
listIter li;
listNode *ln;
listRewind(reference, &li);
@@ -XXX,6 +XXX @@ /* ACL SETUSER &pattern: classify at add time */
+/* At &pattern add time: if pattern has no glob metacharacters, insert into
+ * selector->channels_dict for O(1) lookup. Only append to selector->channels
+ * when the pattern has glob chars requiring stringmatchlen.
+ * Reduces SUBSCRIBE O(S×A×C) to O(S×A) for exact-channel ACLs. */

437
defects/valkey/unit/ValkeyTest.java
View file

@ -1,357 +1,138 @@
package unit;
import java.util.*;
/**
* ValkeyTest — CWE-407 benchmarks for valkey-0001, valkey-0002, valkey-0003
* CWE-407 unit tests for Valkey acl.c defects.
*
* valkey-0001: SINTER on listpack-encoded sets
* SLOW: O(N×M) — outer iterate N elements, inner lpFind O(M) per probe set
* FAST: O(N) — outer iterate N elements, inner HashSet.contains O(1)
* valkey-0001: src/acl.c ACLSelectorCheckKey()
* selector->patterns is a linked list — O(P) stringmatchlen scan per key per selector.
* O(S × K × P) total per command (same architecture as redis-0001).
* Fix: index exact patterns (no glob chars) in a dict for O(1) lookup.
*
* valkey-0002: getUpcomingChannelList ACL channel superset check
* SLOW: O((S×C)²) — build flat list, listSearchKey O(n) per pattern
* FAST: O(S×C) — build HashSet, O(1) lookup per pattern
*
* valkey-0003: ACLSetSelector key-pattern/channel deduplication O(P²)
* SLOW: O(P²) — listSearchKey(selector->patterns, newpat) called per rule
* FAST: O(P) — parallel dict for O(1) dedup per rule
* valkey-0002: src/acl.c ACLCheckChannelAgainstList()
* selector->channels is a linked list — O(C) scan per channel arg per SUBSCRIBE.
* Fix: exact channels indexed in channels_dict for O(1) lookup.
*/
public class ValkeyTest {
// -------------------------------------------------------------------------
// Benchmark harness (matches project style)
// -------------------------------------------------------------------------
// --- valkey-0001 ---
static void bench(String label, Runnable slow, Runnable fast, long sOps, long fOps) {
slow.run(); fast.run();
long t0 = System.nanoTime(); slow.run(); long sMs = (System.nanoTime() - t0) / 1_000_000;
long t1 = System.nanoTime(); fast.run(); long fMs = (System.nanoTime() - t1) / 1_000_000;
System.out.printf(" %-56s slow:%4dms (%,d ops) fast:%4dms (%,d ops) speedup:%.0fx%n",
label, sMs, sOps, fMs, fOps, fOps > 0 ? (double) sOps / fOps : 0);
static boolean aclCheckKey_list(List<String> patterns, String key) {
for (String p : patterns) { // O(P) — defect
if (key.equals(p)) return true; // simplified: no glob
}
return false;
}
// =========================================================================
// valkey-0001: SINTER listpack O(N×M)
//
// Models sinterGenericCommand with listpack-encoded inner sets.
// "listpack membership" = linear scan (lpFindCbInternal).
// "htset membership" = O(1) HashSet lookup.
// =========================================================================
static boolean aclCheckKey_dict(Map<String, Boolean> patternDict,
List<String> globPatterns, String key) {
if (patternDict.containsKey(key)) return true; // O(1) — fix
for (String p : globPatterns) if (key.equals(p)) return true;
return false;
}
/**
* Simulate SINTER(set0, set1) where set1 uses listpack encoding.
* Returns number of element comparisons performed.
*
* set0: List<String> to iterate
* set1AsArray: String[] simulating a packed listpack (linear scan required)
*/
static long sinter_slow(List<String> set0, String[] set1) {
long ops = 0;
for (String elem : set0) {
// listpack membership = linear scan from start
for (String s : set1) {
ops++;
if (s.equals(elem)) break;
static void testValkey0001() throws Exception {
int S = 3; // selectors per user
int K = 500; // keys in MSET
int P = 50; // key patterns per selector
List<String> patterns = new ArrayList<>(P);
Map<String, Boolean> patternDict = new HashMap<>(P);
for (int i = 0; i < P; i++) {
String pat = "keyspace:" + i;
patterns.add(pat);
patternDict.put(pat, Boolean.TRUE);
}
String[] keys = new String[K];
for (int i = 0; i < K; i++) keys[i] = "keyspace:" + (P - 1);
// correctness
assert aclCheckKey_list(patterns, keys[0]) == aclCheckKey_dict(patternDict, Collections.emptyList(), keys[0]);
// simulate S selectors × K keys per command
int REPS = 500;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int s = 0; s < S; s++) {
for (String k : keys) aclCheckKey_list(patterns, k);
}
}
return ops;
}
long tList = System.nanoTime() - t0;
/**
* Simulate SINTER(set0, set1) after promoting set1 to a hash set.
* Returns number of element comparisons performed.
*/
static long sinter_fast(List<String> set0, Set<String> set1) {
long ops = 0;
for (String elem : set0) {
ops++; // O(1) hash lookup
set1.contains(elem);
}
return ops;
}
// =========================================================================
// valkey-0002: getUpcomingChannelList O((S×C)²)
//
// Models the upcoming-channel superset check.
// SLOW: build a list, scan linearly for each original-selector channel.
// FAST: build a HashSet, O(1) lookup.
// =========================================================================
/** Returns number of comparisons in the listSearchKey-style scan. */
static long upcomingChannels_slow(List<String> newChannels, List<String> originalChannels) {
// Build upcoming as a List (mirrors listAddNodeTail + listSearchKey)
List<String> upcoming = new ArrayList<>(newChannels);
long ops = 0;
for (String orig : originalChannels) {
// listSearchKey — O(upcoming.size())
for (String up : upcoming) {
ops++;
if (up.equals(orig)) break;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int s = 0; s < S; s++) {
for (String k : keys) aclCheckKey_dict(patternDict, Collections.emptyList(), k);
}
}
return ops;
long tDict = System.nanoTime() - t0;
double ratio = (double) tList / tDict;
System.out.printf("valkey-0001: list=%.3fs dict=%.3fs ratio=%.1f×%n",
tList / 1e9, tDict / 1e9, ratio);
assert ratio > 8 : "Expected >8× speedup, got " + ratio;
System.out.println("PASS valkey-0001");
}
/** Returns number of comparisons using a HashSet (the fix). */
static long upcomingChannels_fast(List<String> newChannels, List<String> originalChannels) {
Set<String> upcoming = new HashSet<>(newChannels);
long ops = newChannels.size(); // one pass to build the set
for (String orig : originalChannels) {
ops++; // O(1) HashSet lookup
upcoming.contains(orig);
}
return ops;
// --- valkey-0002 ---
static boolean aclCheckChannel_list(List<String> channels, String ch) {
for (String c : channels) if (ch.equals(c)) return true; // O(C) — defect
return false;
}
// =========================================================================
// valkey-0003: ACLSetSelector key-pattern deduplication O(P²)
//
// Models ACLSetSelector: each ~<pattern> rule calls listSearchKey on the
// already-accumulated patterns list to avoid duplicates.
// Adding P patterns costs O(1+2+...+P) = O(P²).
//
// SLOW: List-based dedup (mirrors listSearchKey scan)
// FAST: HashSet-based dedup (mirrors dict lookup fix)
// =========================================================================
/**
* Simulate adding P distinct key patterns to selector->patterns using
* listSearchKey-style linear scan for deduplication.
* Returns total number of comparisons performed.
*/
static long aclPatternDedup_slow(int numPatterns) {
List<String> patterns = new ArrayList<>();
long ops = 0;
for (int i = 0; i < numPatterns; i++) {
String newpat = "key:" + i;
// listSearchKey: O(patterns.size()) scan
boolean found = false;
for (String p : patterns) {
ops++;
if (p.equals(newpat)) { found = true; break; }
}
if (!found) patterns.add(newpat);
}
return ops;
static boolean aclCheckChannel_dict(Map<String, Boolean> dict,
List<String> globs, String ch) {
if (dict.containsKey(ch)) return true; // O(1) — fix
for (String g : globs) if (ch.equals(g)) return true;
return false;
}
/**
* Simulate adding P distinct key patterns using a parallel dict for O(1) dedup.
* Returns total number of comparisons performed.
*/
static long aclPatternDedup_fast(int numPatterns) {
List<String> patterns = new ArrayList<>();
Set<String> patternsHt = new HashSet<>();
long ops = 0;
for (int i = 0; i < numPatterns; i++) {
String newpat = "key:" + i;
ops++; // O(1) dict lookup
if (patternsHt.add(newpat)) {
patterns.add(newpat);
static void testValkey0002() throws Exception {
int S = 3;
int A = 100; // channel args in SUBSCRIBE
int C = 50; // ACL channel patterns per selector
List<String> channels = new ArrayList<>(C);
Map<String, Boolean> chanDict = new HashMap<>(C);
for (int i = 0; i < C; i++) {
String ch = "topic:" + i;
channels.add(ch);
chanDict.put(ch, Boolean.TRUE);
}
String[] args = new String[A];
for (int i = 0; i < A; i++) args[i] = "topic:" + (C - 1);
assert aclCheckChannel_list(channels, args[0]) == aclCheckChannel_dict(chanDict, Collections.emptyList(), args[0]);
int REPS = 2000;
long t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int s = 0; s < S; s++) {
for (String a : args) aclCheckChannel_list(channels, a);
}
}
return ops;
long tList = System.nanoTime() - t0;
t0 = System.nanoTime();
for (int r = 0; r < REPS; r++) {
for (int s = 0; s < S; s++) {
for (String a : args) aclCheckChannel_dict(chanDict, Collections.emptyList(), a);
}
}
long tDict = System.nanoTime() - t0;
double ratio = (double) tList / tDict;
System.out.printf("valkey-0002: list=%.3fs dict=%.3fs ratio=%.1f×%n",
tList / 1e9, tDict / 1e9, ratio);
assert ratio > 4 : "Expected >4× speedup, got " + ratio;
System.out.println("PASS valkey-0002");
}
// =========================================================================
// Main
// =========================================================================
public static void main(String[] args) {
System.out.println("ValkeyTest — CWE-407");
System.out.println();
int passed = 0, total = 0;
// --- valkey-0001 Scenario 1: N=128, M=128 (default listpack threshold) ---
{
int N = 128, M = 128;
List<String> set0 = new ArrayList<>(N);
String[] set1Array = new String[M];
Set<String> set1Set = new HashSet<>();
// set0 and set1 share half their elements (worst-case: all must be scanned)
for (int i = 0; i < N; i++) set0.add("elem:" + i);
for (int i = 0; i < M; i++) {
set1Array[i] = "elem:" + (i + N / 2); // partial overlap
set1Set.add(set1Array[i]);
}
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 1000; r++) ops += sinter_slow(set0, set1Array);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 1000; r++) ops += sinter_fast(set0, set1Set);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0001 SINTER N=128 M=128 listpack (1k runs)", slow, fast, sOps[0], fOps[0]);
total++;
// Expect at least 50x speedup (theoretical max 128x, partial overlap ~64x)
boolean ok = sOps[0] >= fOps[0] * 50;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=50x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
// --- valkey-0001 Scenario 2: N=128, M=128, no overlap (worst case: full scan) ---
{
int N = 128, M = 128;
List<String> set0 = new ArrayList<>(N);
String[] set1Array = new String[M];
Set<String> set1Set = new HashSet<>();
for (int i = 0; i < N; i++) set0.add("a:" + i);
for (int i = 0; i < M; i++) {
set1Array[i] = "b:" + i;
set1Set.add(set1Array[i]);
}
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 1000; r++) ops += sinter_slow(set0, set1Array);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 1000; r++) ops += sinter_fast(set0, set1Set);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0001 SINTER N=128 M=128 no-overlap (1k runs)", slow, fast, sOps[0], fOps[0]);
total++;
// No overlap: every element scans all M=128 entries → 128×128=16384 vs 128
boolean ok = sOps[0] >= fOps[0] * 100;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=100x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
// --- valkey-0002 Scenario 1: S=4 selectors, C=50 channels each ---
{
int S = 4, C = 50;
List<String> newChannels = new ArrayList<>();
List<String> origChannels = new ArrayList<>();
for (int s = 0; s < S; s++)
for (int c = 0; c < C; c++)
newChannels.add("chan:" + s + ":" + c);
// Original has same S×C channels (full overlap — must check all)
origChannels.addAll(newChannels);
Collections.shuffle(origChannels, new Random(42));
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 500; r++) ops += upcomingChannels_slow(newChannels, origChannels);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 500; r++) ops += upcomingChannels_fast(newChannels, origChannels);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0002 ACL channels S=4 C=50 full-overlap (500r)", slow, fast, sOps[0], fOps[0]);
total++;
// 200 channels: slow ~200*100 avg = 20000 per call; fast = 200+200 = 400
boolean ok = sOps[0] >= fOps[0] * 20;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=20x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
// --- valkey-0002 Scenario 2: S=10, C=100 — heavy compartmentalization ---
{
int S = 10, C = 100;
List<String> newChannels = new ArrayList<>();
List<String> origChannels = new ArrayList<>();
for (int s = 0; s < S; s++)
for (int c = 0; c < C; c++)
newChannels.add("ch:" + s + ":" + c);
origChannels.addAll(newChannels);
Collections.shuffle(origChannels, new Random(99));
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 100; r++) ops += upcomingChannels_slow(newChannels, origChannels);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 100; r++) ops += upcomingChannels_fast(newChannels, origChannels);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0002 ACL channels S=10 C=100 (100 runs)", slow, fast, sOps[0], fOps[0]);
total++;
// 1000 channels: slow avg ~500 per lookup * 1000 checks = 500k; fast = 2000
boolean ok = sOps[0] >= fOps[0] * 100;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=100x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
// --- valkey-0003 Scenario 1: P=500 distinct key patterns ---
{
int P = 500;
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 200; r++) ops += aclPatternDedup_slow(P);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 200; r++) ops += aclPatternDedup_fast(P);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0003 ACL key-pattern dedup P=500 (200 runs)", slow, fast, sOps[0], fOps[0]);
total++;
// P=500: slow = sum(0..499) * 200 = 24,950,000; fast = 500*200 = 100,000 → ~249x
boolean ok = sOps[0] >= fOps[0] * 100;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=100x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
// --- valkey-0003 Scenario 2: P=1000 distinct key patterns ---
{
int P = 1000;
final long[] sOps = {0}, fOps = {0};
Runnable slow = () -> {
long ops = 0;
for (int r = 0; r < 50; r++) ops += aclPatternDedup_slow(P);
sOps[0] = ops;
};
Runnable fast = () -> {
long ops = 0;
for (int r = 0; r < 50; r++) ops += aclPatternDedup_fast(P);
fOps[0] = ops;
};
slow.run(); fast.run();
bench("valkey-0003 ACL key-pattern dedup P=1000 (50 runs)", slow, fast, sOps[0], fOps[0]);
total++;
// P=1000: slow = sum(0..999) * 50 = 24,975,000; fast = 1000*50 = 50,000 → ~499x
boolean ok = sOps[0] >= fOps[0] * 200;
System.out.printf(" [%s] slow=%,d fast=%,d ratio=%.0fx (need >=200x)%n",
ok ? "PASS" : "FAIL", sOps[0], fOps[0], (double) sOps[0] / fOps[0]);
if (ok) passed++;
}
System.out.println();
System.out.printf("%d/%d PASS%n", passed, total);
if (passed < total) System.exit(1);
public static void main(String[] args) throws Exception {
testValkey0001();
testValkey0002();
System.out.println("ALL PASS");
}
}