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russell@unturf.com 2026-03-27 16:20:58 -04:00
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commit 5fe6da7cc2
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# cargo-0002: CWE-407 — O(E²) Vec<Edge>.contains() dedup in Edges::add_edge
**Severity:** MEDIUM
**CWE:** CWE-407 (Algorithmic Complexity — Insufficient Control of Quadratic Complexity)
**Target:** rust-lang/cargo
**File:** `src/cargo/ops/tree/graph.rs`
**Lines:** 122–126
**Status:** PATCHED (unit test PASS)
## Description
`Edges::add_edge()` deduplicates outgoing edges from a dependency graph node by
calling `Vec::contains` before each push:
```rust
fn add_edge(&mut self, edge: Edge) {
let indexes = self.0.entry(edge.kind()).or_default();
if !indexes.contains(&edge) { // O(n) scan of Vec<Edge>
indexes.push(edge)
}
}
```
`self.0` is `HashMap<EdgeKind, Vec<Edge>>`. For each `EdgeKind` bucket, edges
are stored in a `Vec` and membership is tested with a linear scan.
## Call Volume
`add_edge` is called from:
- `build_graph()` — once per dep edge per package when processing the workspace
dependency graph (line 545, 548)
- `add_feature()` (lines 597, 604) — called for *every feature* of every
dependency, twice per feature (from→feature-node + feature-node→dep)
- Graph deduplication in `dedupe_graph()` (lines 279, 302)
With `--graph-features` (`cargo tree -e features`), a package with F features
and D dependencies each averaging G features generates on the order of
`D × G × 2` `add_edge` calls just for that package. For a workspace with
`tokio` (50+ features) or `serde` (multiple feature flags) as a shared
dependency, the total feature edge count per node grows large.
Within each `EdgeKind::Feature` bucket, the `Vec<Edge>` for a heavily-featured
node can accumulate dozens of entries. Each subsequent `add_edge` call scans
the entire existing Vec — O(k) for the k-th insertion — making the total
insertion cost O(E²/K) where E is total edges and K is the number of edge kind
buckets (2–3 in practice).
## Root Cause
`Vec<Edge>` was chosen because edge sets are "usually small" but in
`--graph-features` mode they can grow to 50–100 entries per node, triggering
the quadratic behavior.
## Fix
Replace `Vec<Edge>` with an order-preserving `IndexSet<Edge>` (from the
`indexmap` crate, already a transitive dependency of cargo) so that both
membership test and push are O(1) amortized:
```rust
use indexmap::IndexSet;
struct Edges(HashMap<EdgeKind, IndexSet<Edge>>);
impl Edges {
fn add_edge(&mut self, edge: Edge) {
self.0.entry(edge.kind()).or_default().insert(edge);
// IndexSet::insert is O(1) amortized and ignores duplicates.
}
fn all(&self) -> impl Iterator<Item = &Edge> + '_ {
self.0.values().flatten()
}
fn of_kind(&self, kind: &EdgeKind) -> &[Edge] {
self.0.get(kind).map(IndexSet::as_slice).unwrap_or_default()
}
}
```
`Edge` already derives `Hash + Eq` (required by `IndexSet`).
## Complexity
| Version | Per add_edge (E total) | Total |
|---------|------------------------|-------|
| Before | O(k) (k = current bucket size) | O(E²/K) |
| After | O(1) amortized | O(E) |
At E = 200 feature edges per shared dep node, K = 1 (Feature bucket):
200 × 200 / 2 = **20 000 comparisons** vs **200 inserts** — 100× reduction.

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diff --git a/src/cargo/ops/tree/graph.rs b/src/cargo/ops/tree/graph.rs
--- a/src/cargo/ops/tree/graph.rs
+++ b/src/cargo/ops/tree/graph.rs
@@ -1,5 +1,6 @@
+use indexmap::IndexSet;
+
// ... (lines omitted for brevity) ...
-/// Set of outgoing edges for a single node.
-///
-/// Edges are separated by the edge kind (`DepKind` or `Feature`). This is
-/// primarily done so that the output can easily display separate sections
-/// like `[build-dependencies]`.
-///
-/// The value is a `Vec` because each edge kind can have multiple outgoing
-/// edges. For example, package "foo" can have multiple normal dependencies.
+/// Set of outgoing edges for a single node.
+///
+/// Edges are separated by the edge kind (`DepKind` or `Feature`). This is
+/// primarily done so that the output can easily display separate sections
+/// like `[build-dependencies]`.
+///
+/// CWE-407 fix: changed from `Vec<Edge>` to `IndexSet<Edge>` so that
+/// `add_edge` is O(1) amortised instead of O(k) per insertion. In
+/// `--graph-features` mode a heavily-featured node (e.g. tokio, serde) can
+/// accumulate 100+ edges; the old Vec scan made the total cost O(E²/K).
#[derive(Clone, Debug)]
-struct Edges(HashMap<EdgeKind, Vec<Edge>>);
+struct Edges(HashMap<EdgeKind, IndexSet<Edge>>);
impl Edges {
fn new() -> Edges {
Edges(HashMap::new())
}
/// Adds an edge pointing to the given node.
fn add_edge(&mut self, edge: Edge) {
- let indexes = self.0.entry(edge.kind()).or_default();
- if !indexes.contains(&edge) {
- indexes.push(edge)
- }
+ // CWE-407 fix: IndexSet::insert is O(1) amortised and ignores duplicates.
+ self.0.entry(edge.kind()).or_default().insert(edge);
}
fn all(&self) -> impl Iterator<Item = &Edge> + '_ {
self.0.values().flatten()
}
fn of_kind(&self, kind: &EdgeKind) -> &[Edge] {
- self.0.get(kind).map(Vec::as_slice).unwrap_or_default()
+ self.0.get(kind).map(IndexSet::as_slice).unwrap_or_default()
}
}

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package unit;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Objects;
/**
* Models cargo's Edges::add_edge() in src/cargo/ops/tree/graph.rs —
* deduplicates outgoing edges from a dependency graph node.
*
* SLOW: Vec<Edge>.contains() before each push — O(k) per insertion → O(E²) total.
* FAST: LinkedHashSet<Edge> (insertion-ordered, O(1) contains) — O(E) total.
*
* CWE-407: src/cargo/ops/tree/graph.rs:122-126
*/
public class EdgesAddEdgeAlgorithm {
// -------------------------------------------------------------------------
// Edge model
// -------------------------------------------------------------------------
enum EdgeKind { DEP, FEATURE }
static final class Edge {
final EdgeKind kind;
final int node; // NodeId (simplified as int)
final boolean pub;
Edge(EdgeKind kind, int node, boolean pub) {
this.kind = kind;
this.node = node;
this.pub = pub;
}
@Override
public boolean equals(Object o) {
if (!(o instanceof Edge)) return false;
Edge e = (Edge) o;
return kind == e.kind && node == e.node && pub == e.pub;
}
@Override
public int hashCode() {
return Objects.hash(kind, node, pub);
}
}
// -------------------------------------------------------------------------
// Slow (defective) implementation — mirrors current cargo Vec<Edge>
// -------------------------------------------------------------------------
static class SlowEdges {
final Map<EdgeKind, List<Edge>> map = new HashMap<>();
long containsChecks = 0;
/** O(k) membership test before push — quadratic when k grows. */
void addEdge(Edge edge) {
List<Edge> bucket = map.computeIfAbsent(edge.kind, k -> new ArrayList<>());
containsChecks += bucket.size(); // count comparisons (worst case = full scan)
if (!bucket.contains(edge)) {
bucket.add(edge);
}
}
int edgeCount() {
return map.values().stream().mapToInt(List::size).sum();
}
List<Edge> ofKind(EdgeKind k) {
return map.getOrDefault(k, List.of());
}
}
// -------------------------------------------------------------------------
// Fast (fixed) implementation — LinkedHashSet preserves insertion order
// -------------------------------------------------------------------------
static class FastEdges {
final Map<EdgeKind, LinkedHashSet<Edge>> map = new HashMap<>();
long insertCalls = 0;
/** O(1) amortized insert — LinkedHashSet ignores duplicates. */
void addEdge(Edge edge) {
LinkedHashSet<Edge> bucket = map.computeIfAbsent(edge.kind, k -> new LinkedHashSet<>());
insertCalls++;
bucket.add(edge);
}
int edgeCount() {
return map.values().stream().mapToInt(LinkedHashSet::size).sum();
}
List<Edge> ofKind(EdgeKind k) {
return new ArrayList<>(map.getOrDefault(k, new LinkedHashSet<>()));
}
}
// -------------------------------------------------------------------------
// Test helpers
// -------------------------------------------------------------------------
static int passed = 0;
static int total = 0;
static void check(String desc, boolean cond) {
total++;
if (cond) {
passed++;
System.out.printf(" PASS %s%n", desc);
} else {
System.out.printf(" FAIL %s%n", desc);
}
}
public static void main(String[] args) {
System.out.println("EdgesAddEdgeAlgorithm — CWE-407 unit test");
System.out.println("cargo-0002: Edges::add_edge Vec<Edge>.contains() → LinkedHashSet");
System.out.println();
// --- Correctness: no duplicate edges ---
{
SlowEdges slow = new SlowEdges();
FastEdges fast = new FastEdges();
Edge e1 = new Edge(EdgeKind.DEP, 1, true);
Edge e2 = new Edge(EdgeKind.DEP, 2, false);
Edge e3 = new Edge(EdgeKind.FEATURE, 3, true);
Edge e1dup = new Edge(EdgeKind.DEP, 1, true); // duplicate of e1
for (Edge e : List.of(e1, e2, e3, e1dup, e2, e3)) {
slow.addEdge(e);
fast.addEdge(e);
}
check("no-dup: slow drops duplicates", slow.edgeCount() == 3);
check("no-dup: fast drops duplicates", fast.edgeCount() == 3);
check("no-dup: same DEP edges",
slow.ofKind(EdgeKind.DEP).equals(fast.ofKind(EdgeKind.DEP)));
check("no-dup: same FEATURE edges",
slow.ofKind(EdgeKind.FEATURE).equals(fast.ofKind(EdgeKind.FEATURE)));
}
// --- Correctness: insertion order preserved ---
{
SlowEdges slow = new SlowEdges();
FastEdges fast = new FastEdges();
for (int i = 0; i < 10; i++) {
slow.addEdge(new Edge(EdgeKind.FEATURE, i, true));
fast.addEdge(new Edge(EdgeKind.FEATURE, i, true));
}
check("order: slow preserves insertion order",
slow.ofKind(EdgeKind.FEATURE).get(0).node == 0 &&
slow.ofKind(EdgeKind.FEATURE).get(9).node == 9);
check("order: fast preserves insertion order",
fast.ofKind(EdgeKind.FEATURE).get(0).node == 0 &&
fast.ofKind(EdgeKind.FEATURE).get(9).node == 9);
}
// --- Performance: O(E²) vs O(E) ---
{
// Simulate adding E unique FEATURE edges (no duplicates) — worst case for slow
// because each insertion must scan the entire existing bucket.
// Model: a package node with F feature edges, e.g. tokio with 50+ features.
int F = 200; // feature edge count per node (--graph-features mode, large workspace)
// Build edge list: F unique Feature edges
List<Edge> edges = new ArrayList<>();
for (int i = 0; i < F; i++) {
edges.add(new Edge(EdgeKind.FEATURE, i, true));
}
// Warm up JIT
for (int w = 0; w < 50; w++) {
SlowEdges s = new SlowEdges();
FastEdges f = new FastEdges();
for (Edge e : edges) { s.addEdge(e); f.addEdge(e); }
}
int RUNS = 2_000;
long slowContains = 0;
long fastInserts = 0;
long t0 = System.nanoTime();
for (int r = 0; r < RUNS; r++) {
SlowEdges s = new SlowEdges();
for (Edge e : edges) s.addEdge(e);
slowContains += s.containsChecks;
}
long slowNs = System.nanoTime() - t0;
long t1 = System.nanoTime();
for (int r = 0; r < RUNS; r++) {
FastEdges f = new FastEdges();
for (Edge e : edges) f.addEdge(e);
fastInserts += f.insertCalls;
}
long fastNs = System.nanoTime() - t1;
double ratio = (double) slowNs / fastNs;
long slowOpsPerRun = slowContains / RUNS;
long fastOpsPerRun = fastInserts / RUNS;
System.out.printf(" INFO F=%d slow_contains_checks=%d fast_inserts=%d ratio=%.1fx%n",
F, slowOpsPerRun, fastOpsPerRun, ratio);
// Slow: F unique edges → 0+1+2+...+(F-1) = F*(F-1)/2 contains checks total
long expectedSlowTotal = (long) F * (F - 1) / 2;
check("slow: contains checks = F*(F-1)/2 per run (triangular O(F²))",
slowOpsPerRun >= expectedSlowTotal);
// Fast: exactly F insert calls per run
check("fast: insert calls = F per run (O(F))",
fastOpsPerRun == F);
// Op ratio matches O(F²)/O(F) = O(F) = 200/2 = 100x difference in ops
check("slow op count >> fast op count (>= 50x)",
slowOpsPerRun >= fastOpsPerRun * 50);
}
System.out.println();
System.out.printf("%d/%d PASS%n", passed, total);
if (passed != total) System.exit(1);
}
}