167 lines
6.6 KiB
Java
167 lines
6.6 KiB
Java
package unit;
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import java.util.*;
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/**
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* CWE-407 unit test: podman GetRunningPods
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* File: libpod/runtime_pod.go:147 — GetRunningPods
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*
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* Slow: for each container, scan pods []string via slices.Contains → O(n²)
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* Fast: use map[string]bool for seen set → O(n)
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*
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* Run: javac -d . RunningPodsAlgorithm.java && java -ea unit.RunningPodsAlgorithm
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*/
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public class RunningPodsAlgorithm {
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// ── Slow implementation (mirrors defective Go code) ───────────────────────
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static class SlowGetRunningPods {
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final long ops;
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final List<String> podIDs;
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SlowGetRunningPods(List<String> containerPodIDs) {
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long count = 0;
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List<String> pods = new ArrayList<>();
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for (String podID : containerPodIDs) {
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// slices.Contains(pods, podID) — O(n) scan
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boolean found = false;
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for (String existing : pods) {
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count++;
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if (existing.equals(podID)) { found = true; break; }
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}
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if (!found) {
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pods.add(podID);
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}
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}
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this.ops = count;
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this.podIDs = pods;
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}
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}
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// ── Fast implementation (proposed fix) ────────────────────────────────────
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static class FastGetRunningPods {
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final long ops;
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final List<String> podIDs;
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FastGetRunningPods(List<String> containerPodIDs) {
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long count = 0;
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Map<String, Boolean> seen = new HashMap<>(containerPodIDs.size() * 2);
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List<String> pods = new ArrayList<>();
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for (String podID : containerPodIDs) {
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count++; // O(1) map lookup
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if (!seen.getOrDefault(podID, false)) {
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seen.put(podID, true);
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pods.add(podID);
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}
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}
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this.ops = count;
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this.podIDs = pods;
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}
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}
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// ── Node / Result types ───────────────────────────────────────────────────
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static class Node {
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final String containerID;
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final String podID;
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Node(String containerID, String podID) {
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this.containerID = containerID;
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this.podID = podID;
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}
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}
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static class Result {
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final long slowOps;
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final long fastOps;
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final List<String> slowPods;
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final List<String> fastPods;
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Result(long slowOps, long fastOps, List<String> slowPods, List<String> fastPods) {
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this.slowOps = slowOps;
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this.fastOps = fastOps;
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this.slowPods = slowPods;
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this.fastPods = fastPods;
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}
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}
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// ── test infrastructure ───────────────────────────────────────────────────
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static int passed = 0, total = 0;
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static void test(String name, boolean condition) {
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total++;
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if (condition) { passed++; System.out.println("PASS: " + name); }
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else { System.out.println("FAIL: " + name); }
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}
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/**
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* Build a workload: nContainers containers spread across nPods pods.
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* containersPerPod = nContainers / nPods (worst case for dedup).
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*/
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static Result run(int nContainers, int nPods) {
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List<String> containerPodIDs = new ArrayList<>(nContainers);
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for (int i = 0; i < nContainers; i++) {
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containerPodIDs.add("pod-" + (i % nPods));
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}
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SlowGetRunningPods slow = new SlowGetRunningPods(containerPodIDs);
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FastGetRunningPods fast = new FastGetRunningPods(containerPodIDs);
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return new Result(slow.ops, fast.ops, slow.podIDs, fast.podIDs);
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}
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public static void main(String[] args) {
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// T1: 1000 containers, 100 pods (10 containers per pod)
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{
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Result r = run(1000, 100);
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// Slow: each of 1000 containers scans growing pods list — sum ~0+1+2+... per batch
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// Fast: 1000 O(1) lookups
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test("T1-slow-is-quadratic [N=1000,pods=100]",
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r.slowOps > 1000); // definitely more than linear
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test("T1-fast-is-linear [N=1000,pods=100]",
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r.fastOps <= 1000 + 5);
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double speedup = (double) r.slowOps / r.fastOps;
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test("T1-speedup>=10x", speedup >= 10.0);
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System.out.printf(" slow=%d ops, fast=%d ops, speedup=%.1fx%n",
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r.slowOps, r.fastOps, speedup);
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List<String> ss = new ArrayList<>(r.slowPods); Collections.sort(ss);
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List<String> fs = new ArrayList<>(r.fastPods); Collections.sort(fs);
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test("T1-results-match", ss.equals(fs));
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}
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// T2: 5000 containers, 500 pods (10 per pod)
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{
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Result r = run(5000, 500);
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double speedup = (double) r.slowOps / r.fastOps;
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test("T2-slow-quadratic [N=5000,pods=500]", r.slowOps > 5000);
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test("T2-fast-linear [N=5000]", r.fastOps <= 5000 + 5);
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test("T2-speedup>=10x", speedup >= 10.0);
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System.out.printf(" slow=%d ops, fast=%d ops, speedup=%.1fx%n",
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r.slowOps, r.fastOps, speedup);
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List<String> ss = new ArrayList<>(r.slowPods); Collections.sort(ss);
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List<String> fs = new ArrayList<>(r.fastPods); Collections.sort(fs);
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test("T2-results-match", ss.equals(fs));
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}
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// T3: 100 containers, all different pods (max dedup overhead)
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{
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Result r = run(100, 100);
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// Each container requires full scan of growing pods list
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// Total: 0+1+2+...+99 = 4950 ops for slow
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test("T3-slow-sum-series [N=100,pods=100]", r.slowOps >= 100L * 99 / 2);
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test("T3-fast-linear [N=100]", r.fastOps <= 100 + 5);
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double speedup = (double) r.slowOps / r.fastOps;
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test("T3-speedup>=40x [N=100]", speedup >= 40.0);
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System.out.printf(" slow=%d ops, fast=%d ops, speedup=%.1fx%n",
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r.slowOps, r.fastOps, speedup);
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}
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// T4: Correctness — single pod, many containers
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{
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Result r = run(50, 1);
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test("T4-single-pod-result", r.fastPods.size() == 1);
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test("T4-single-pod-results-match",
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r.slowPods.equals(r.fastPods));
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}
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System.out.println();
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System.out.printf("%d/%d PASS%n", passed, total);
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if (passed != total) System.exit(1);
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}
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}
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