java-topology/defects/linkerd2/unit/Linkerd2Test.java
russell@unturf.com 9934133dcf whitepaper: 312 sites / 151 ecosystems — wave2+3 defect tables and PDF rebuild
Add 88 new defect entries to HIGH and MEDIUM tables:
  HIGH: mysql-0001/0002, mariadb-0001, redis-0001/0002, valkey-0001/0002, openvpn-0001,
        vlc-0001, prometheus-0001, otel-collector-0001, cockroachdb-0001..0004,
        tidb-0001..0008, kubernetes-0001/0002, go-0001, kotlin-0002, scala-0001,
        allegro5-0001, sdl2-0001, grafana-0001, clickhouse-0001, duckdb-0001,
        mongodb-0001, envoy-0001, istio-0001, cilium-0001, linkerd2-0001,
        linux-0001/0002/0003, tor-0002/0003, curl-0001, julia-0001, lua-0001,
        perl5-0001, nats-0001, spring-0003/0004, tomcat-0001, onos-0002, odl-0002

  MEDIUM: helm-0001, mariadb-0002, openssl-0001/0002, memcached-0001,
          cassandra-0001..0004, flink-0001, storm-0001/0002, zookeeper-0001..0003,
          pip-0001, gradle-0001, nginx-0001, haproxy-0001, caddy-0001, varnish-0001,
          ffmpeg-0001, gstreamer-0001, raylib-0001, love2d-0001, php-0001/0002,
          r-source-0001, cpython-0002, ruby-0001, rabbitmq-0003/0004, activemq-0001,
          ovs-0001, onos-0003, odl-0002, jetty-0001

PDF: 976K
2026-03-27 15:23:43 -04:00

190 lines
7.2 KiB
Java

package unit;
import java.util.*;
/**
* Linkerd2Test — CWE-407 benchmark for linkerd2-0001
*
* linkerd2-0001: federatedService.update() slices.Contains O(n) inside two
* for-range loops over remoteDiscovery slices → O(n²) diff computation
*
* Model:
* N = number of remote discovery IDs (cluster service references)
*
* SLOW: for each new ID, slices.Contains(oldSlice) → O(N²) diff
* FAST: map-based set for O(N) diff
*/
public class Linkerd2Test {
// -------------------------------------------------------------------------
// Simulated remoteDiscoveryID type (comparable struct in Go)
// -------------------------------------------------------------------------
static class RemoteDiscoveryID {
final String cluster;
final String service;
final String namespace;
RemoteDiscoveryID(String cluster, String service, String namespace) {
this.cluster = cluster;
this.service = service;
this.namespace = namespace;
}
@Override
public boolean equals(Object o) {
if (!(o instanceof RemoteDiscoveryID)) return false;
RemoteDiscoveryID r = (RemoteDiscoveryID) o;
return cluster.equals(r.cluster) && service.equals(r.service) && namespace.equals(r.namespace);
}
@Override
public int hashCode() {
return Objects.hash(cluster, service, namespace);
}
}
// -------------------------------------------------------------------------
// SLOW: slices.Contains inside for-range loops → O(N²)
// -------------------------------------------------------------------------
static long updateFederatedService_slow(List<RemoteDiscoveryID> oldSlice,
List<RemoteDiscoveryID> newSlice) {
long ops = 0;
// adds: for each new, scan old for membership
for (RemoteDiscoveryID id : newSlice) {
for (RemoteDiscoveryID old : oldSlice) {
ops++;
if (old.equals(id)) break;
}
}
// removes: for each old, scan new for membership
for (RemoteDiscoveryID id : oldSlice) {
for (RemoteDiscoveryID nw : newSlice) {
ops++;
if (nw.equals(id)) break;
}
}
return ops;
}
// -------------------------------------------------------------------------
// FAST: map-based set → O(N) diff
// -------------------------------------------------------------------------
static long updateFederatedService_fast(List<RemoteDiscoveryID> oldSlice,
List<RemoteDiscoveryID> newSlice) {
long ops = 0;
// Build new set: O(N)
Set<RemoteDiscoveryID> newSet = new HashSet<>(newSlice);
Set<RemoteDiscoveryID> oldSet = new HashSet<>(oldSlice);
// adds: for each new, O(1) map lookup
for (RemoteDiscoveryID id : newSet) {
ops++;
oldSet.contains(id);
}
// removes: for each old, O(1) map lookup
for (RemoteDiscoveryID id : oldSet) {
ops++;
newSet.contains(id);
}
return ops;
}
// -------------------------------------------------------------------------
// Helpers
// -------------------------------------------------------------------------
static List<RemoteDiscoveryID> makeIDs(int count) {
List<RemoteDiscoveryID> ids = new ArrayList<>(count);
for (int i = 0; i < count; i++) {
ids.add(new RemoteDiscoveryID(
"cluster-" + (i % 5),
"svc-" + i,
"ns-" + (i % 10)
));
}
return ids;
}
static void bench(String label, long sOps, long fOps) {
System.out.printf(" %-55s slow=%9d fast=%7d ratio=%5.1fx%n",
label, sOps, fOps, (double) sOps / Math.max(fOps, 1));
}
// -------------------------------------------------------------------------
// Main
// -------------------------------------------------------------------------
public static void main(String[] args) {
System.out.println("Linkerd2Test — CWE-407 linkerd2-0001 federated service discovery quadratic dedup");
System.out.println();
// --- N=100 IDs ---
{
int N = 100;
List<RemoteDiscoveryID> oldIDs = makeIDs(N);
// new = old + 10 additions - 10 removals → simulate update
List<RemoteDiscoveryID> newIDs = new ArrayList<>(makeIDs(N));
newIDs.subList(0, 10).clear();
for (int i = N; i < N + 10; i++) {
newIDs.add(new RemoteDiscoveryID("cluster-0", "svc-" + i, "ns-0"));
}
long sOps = updateFederatedService_slow(oldIDs, newIDs);
long fOps = updateFederatedService_fast(oldIDs, newIDs);
bench("N=100 IDs (10 adds, 10 removes)", sOps, fOps);
assert sOps > fOps * 10 :
"Expected slow >> fast, got slow=" + sOps + " fast=" + fOps;
}
// --- N=500 IDs ---
{
int N = 500;
List<RemoteDiscoveryID> oldIDs = makeIDs(N);
List<RemoteDiscoveryID> newIDs = new ArrayList<>(makeIDs(N));
newIDs.subList(0, 50).clear();
for (int i = N; i < N + 50; i++) {
newIDs.add(new RemoteDiscoveryID("cluster-0", "svc-" + i, "ns-0"));
}
long sOps = updateFederatedService_slow(oldIDs, newIDs);
long fOps = updateFederatedService_fast(oldIDs, newIDs);
bench("N=500 IDs", sOps, fOps);
assert sOps > fOps * 25 :
"Expected slow >> fast, got slow=" + sOps + " fast=" + fOps;
}
// --- N=1000 IDs ---
{
int N = 1000;
List<RemoteDiscoveryID> oldIDs = makeIDs(N);
List<RemoteDiscoveryID> newIDs = new ArrayList<>(makeIDs(N));
newIDs.subList(0, 100).clear();
for (int i = N; i < N + 100; i++) {
newIDs.add(new RemoteDiscoveryID("cluster-0", "svc-" + i, "ns-0"));
}
long sOps = updateFederatedService_slow(oldIDs, newIDs);
long fOps = updateFederatedService_fast(oldIDs, newIDs);
bench("N=1000 IDs", sOps, fOps);
assert sOps > fOps * 50 :
"Expected slow >> fast, got slow=" + sOps + " fast=" + fOps;
}
// --- N=3000 IDs (multi-cluster stress) ---
{
int N = 3000;
List<RemoteDiscoveryID> oldIDs = makeIDs(N);
List<RemoteDiscoveryID> newIDs = new ArrayList<>(makeIDs(N));
newIDs.subList(0, 300).clear();
for (int i = N; i < N + 300; i++) {
newIDs.add(new RemoteDiscoveryID("cluster-0", "svc-" + i, "ns-0"));
}
long sOps = updateFederatedService_slow(oldIDs, newIDs);
long fOps = updateFederatedService_fast(oldIDs, newIDs);
bench("N=3000 IDs (multi-cluster stress)", sOps, fOps);
assert sOps > fOps * 100 :
"Expected slow >> fast, got slow=" + sOps + " fast=" + fOps;
}
System.out.println();
System.out.println("All assertions passed.");
}
}