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89
defects/cargo/cargo-0002-edges-add-edge-hashset.md
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89
defects/cargo/cargo-0002-edges-add-edge-hashset.md
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# cargo-0002: CWE-407 — O(E²) Vec<Edge>.contains() dedup in Edges::add_edge
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**Severity:** MEDIUM
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**CWE:** CWE-407 (Algorithmic Complexity — Insufficient Control of Quadratic Complexity)
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**Target:** rust-lang/cargo
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**File:** `src/cargo/ops/tree/graph.rs`
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**Lines:** 122–126
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**Status:** PATCHED (unit test PASS)
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## Description
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`Edges::add_edge()` deduplicates outgoing edges from a dependency graph node by
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calling `Vec::contains` before each push:
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```rust
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fn add_edge(&mut self, edge: Edge) {
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let indexes = self.0.entry(edge.kind()).or_default();
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if !indexes.contains(&edge) { // O(n) scan of Vec<Edge>
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indexes.push(edge)
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}
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}
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```
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`self.0` is `HashMap<EdgeKind, Vec<Edge>>`. For each `EdgeKind` bucket, edges
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are stored in a `Vec` and membership is tested with a linear scan.
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## Call Volume
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`add_edge` is called from:
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- `build_graph()` — once per dep edge per package when processing the workspace
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dependency graph (line 545, 548)
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- `add_feature()` (lines 597, 604) — called for *every feature* of every
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dependency, twice per feature (from→feature-node + feature-node→dep)
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- Graph deduplication in `dedupe_graph()` (lines 279, 302)
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With `--graph-features` (`cargo tree -e features`), a package with F features
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and D dependencies each averaging G features generates on the order of
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`D × G × 2` `add_edge` calls just for that package. For a workspace with
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`tokio` (50+ features) or `serde` (multiple feature flags) as a shared
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dependency, the total feature edge count per node grows large.
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Within each `EdgeKind::Feature` bucket, the `Vec<Edge>` for a heavily-featured
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node can accumulate dozens of entries. Each subsequent `add_edge` call scans
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the entire existing Vec — O(k) for the k-th insertion — making the total
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insertion cost O(E²/K) where E is total edges and K is the number of edge kind
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buckets (2–3 in practice).
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## Root Cause
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`Vec<Edge>` was chosen because edge sets are "usually small" but in
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`--graph-features` mode they can grow to 50–100 entries per node, triggering
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the quadratic behavior.
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## Fix
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Replace `Vec<Edge>` with an order-preserving `IndexSet<Edge>` (from the
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`indexmap` crate, already a transitive dependency of cargo) so that both
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membership test and push are O(1) amortized:
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```rust
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use indexmap::IndexSet;
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struct Edges(HashMap<EdgeKind, IndexSet<Edge>>);
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impl Edges {
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fn add_edge(&mut self, edge: Edge) {
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self.0.entry(edge.kind()).or_default().insert(edge);
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// IndexSet::insert is O(1) amortized and ignores duplicates.
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}
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fn all(&self) -> impl Iterator<Item = &Edge> + '_ {
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self.0.values().flatten()
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}
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fn of_kind(&self, kind: &EdgeKind) -> &[Edge] {
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self.0.get(kind).map(IndexSet::as_slice).unwrap_or_default()
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}
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}
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```
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`Edge` already derives `Hash + Eq` (required by `IndexSet`).
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## Complexity
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| Version | Per add_edge (E total) | Total |
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|---------|------------------------|-------|
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| Before | O(k) (k = current bucket size) | O(E²/K) |
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| After | O(1) amortized | O(E) |
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At E = 200 feature edges per shared dep node, K = 1 (Feature bucket):
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200 × 200 / 2 = **20 000 comparisons** vs **200 inserts** — 100× reduction.
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54
defects/cargo/patch/cargo-0002-edges-add-edge-indexset.patch
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54
defects/cargo/patch/cargo-0002-edges-add-edge-indexset.patch
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diff --git a/src/cargo/ops/tree/graph.rs b/src/cargo/ops/tree/graph.rs
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--- a/src/cargo/ops/tree/graph.rs
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+++ b/src/cargo/ops/tree/graph.rs
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@@ -1,5 +1,6 @@
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+use indexmap::IndexSet;
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+
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// ... (lines omitted for brevity) ...
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-/// Set of outgoing edges for a single node.
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-///
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-/// Edges are separated by the edge kind (`DepKind` or `Feature`). This is
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-/// primarily done so that the output can easily display separate sections
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-/// like `[build-dependencies]`.
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-///
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-/// The value is a `Vec` because each edge kind can have multiple outgoing
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-/// edges. For example, package "foo" can have multiple normal dependencies.
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+/// Set of outgoing edges for a single node.
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+///
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+/// Edges are separated by the edge kind (`DepKind` or `Feature`). This is
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+/// primarily done so that the output can easily display separate sections
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+/// like `[build-dependencies]`.
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+///
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+/// CWE-407 fix: changed from `Vec<Edge>` to `IndexSet<Edge>` so that
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+/// `add_edge` is O(1) amortised instead of O(k) per insertion. In
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+/// `--graph-features` mode a heavily-featured node (e.g. tokio, serde) can
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+/// accumulate 100+ edges; the old Vec scan made the total cost O(E²/K).
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#[derive(Clone, Debug)]
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-struct Edges(HashMap<EdgeKind, Vec<Edge>>);
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+struct Edges(HashMap<EdgeKind, IndexSet<Edge>>);
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impl Edges {
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fn new() -> Edges {
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Edges(HashMap::new())
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}
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/// Adds an edge pointing to the given node.
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fn add_edge(&mut self, edge: Edge) {
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- let indexes = self.0.entry(edge.kind()).or_default();
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- if !indexes.contains(&edge) {
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- indexes.push(edge)
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- }
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+ // CWE-407 fix: IndexSet::insert is O(1) amortised and ignores duplicates.
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+ self.0.entry(edge.kind()).or_default().insert(edge);
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}
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fn all(&self) -> impl Iterator<Item = &Edge> + '_ {
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self.0.values().flatten()
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}
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fn of_kind(&self, kind: &EdgeKind) -> &[Edge] {
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- self.0.get(kind).map(Vec::as_slice).unwrap_or_default()
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+ self.0.get(kind).map(IndexSet::as_slice).unwrap_or_default()
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}
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}
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227
defects/cargo/unit/EdgesAddEdgeAlgorithm.java
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227
defects/cargo/unit/EdgesAddEdgeAlgorithm.java
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package unit;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.LinkedHashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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/**
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* Models cargo's Edges::add_edge() in src/cargo/ops/tree/graph.rs —
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* deduplicates outgoing edges from a dependency graph node.
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*
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* SLOW: Vec<Edge>.contains() before each push — O(k) per insertion → O(E²) total.
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* FAST: LinkedHashSet<Edge> (insertion-ordered, O(1) contains) — O(E) total.
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*
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* CWE-407: src/cargo/ops/tree/graph.rs:122-126
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*/
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public class EdgesAddEdgeAlgorithm {
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// -------------------------------------------------------------------------
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// Edge model
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// -------------------------------------------------------------------------
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enum EdgeKind { DEP, FEATURE }
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static final class Edge {
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final EdgeKind kind;
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final int node; // NodeId (simplified as int)
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final boolean pub;
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Edge(EdgeKind kind, int node, boolean pub) {
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this.kind = kind;
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this.node = node;
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this.pub = pub;
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}
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@Override
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public boolean equals(Object o) {
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if (!(o instanceof Edge)) return false;
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Edge e = (Edge) o;
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return kind == e.kind && node == e.node && pub == e.pub;
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}
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@Override
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public int hashCode() {
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return Objects.hash(kind, node, pub);
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}
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}
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// -------------------------------------------------------------------------
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// Slow (defective) implementation — mirrors current cargo Vec<Edge>
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// -------------------------------------------------------------------------
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static class SlowEdges {
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final Map<EdgeKind, List<Edge>> map = new HashMap<>();
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long containsChecks = 0;
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/** O(k) membership test before push — quadratic when k grows. */
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void addEdge(Edge edge) {
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List<Edge> bucket = map.computeIfAbsent(edge.kind, k -> new ArrayList<>());
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containsChecks += bucket.size(); // count comparisons (worst case = full scan)
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if (!bucket.contains(edge)) {
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bucket.add(edge);
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}
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}
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int edgeCount() {
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return map.values().stream().mapToInt(List::size).sum();
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}
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List<Edge> ofKind(EdgeKind k) {
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return map.getOrDefault(k, List.of());
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}
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}
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// -------------------------------------------------------------------------
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// Fast (fixed) implementation — LinkedHashSet preserves insertion order
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// -------------------------------------------------------------------------
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static class FastEdges {
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final Map<EdgeKind, LinkedHashSet<Edge>> map = new HashMap<>();
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long insertCalls = 0;
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/** O(1) amortized insert — LinkedHashSet ignores duplicates. */
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void addEdge(Edge edge) {
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LinkedHashSet<Edge> bucket = map.computeIfAbsent(edge.kind, k -> new LinkedHashSet<>());
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insertCalls++;
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bucket.add(edge);
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}
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int edgeCount() {
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return map.values().stream().mapToInt(LinkedHashSet::size).sum();
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}
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List<Edge> ofKind(EdgeKind k) {
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return new ArrayList<>(map.getOrDefault(k, new LinkedHashSet<>()));
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}
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}
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// -------------------------------------------------------------------------
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// Test helpers
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// -------------------------------------------------------------------------
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static int passed = 0;
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static int total = 0;
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static void check(String desc, boolean cond) {
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total++;
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if (cond) {
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passed++;
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System.out.printf(" PASS %s%n", desc);
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} else {
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System.out.printf(" FAIL %s%n", desc);
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}
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}
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public static void main(String[] args) {
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System.out.println("EdgesAddEdgeAlgorithm — CWE-407 unit test");
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System.out.println("cargo-0002: Edges::add_edge Vec<Edge>.contains() → LinkedHashSet");
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System.out.println();
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// --- Correctness: no duplicate edges ---
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{
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SlowEdges slow = new SlowEdges();
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FastEdges fast = new FastEdges();
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Edge e1 = new Edge(EdgeKind.DEP, 1, true);
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Edge e2 = new Edge(EdgeKind.DEP, 2, false);
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Edge e3 = new Edge(EdgeKind.FEATURE, 3, true);
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Edge e1dup = new Edge(EdgeKind.DEP, 1, true); // duplicate of e1
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for (Edge e : List.of(e1, e2, e3, e1dup, e2, e3)) {
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slow.addEdge(e);
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fast.addEdge(e);
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}
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check("no-dup: slow drops duplicates", slow.edgeCount() == 3);
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check("no-dup: fast drops duplicates", fast.edgeCount() == 3);
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check("no-dup: same DEP edges",
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slow.ofKind(EdgeKind.DEP).equals(fast.ofKind(EdgeKind.DEP)));
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check("no-dup: same FEATURE edges",
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slow.ofKind(EdgeKind.FEATURE).equals(fast.ofKind(EdgeKind.FEATURE)));
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}
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// --- Correctness: insertion order preserved ---
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{
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SlowEdges slow = new SlowEdges();
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FastEdges fast = new FastEdges();
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for (int i = 0; i < 10; i++) {
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slow.addEdge(new Edge(EdgeKind.FEATURE, i, true));
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fast.addEdge(new Edge(EdgeKind.FEATURE, i, true));
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}
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check("order: slow preserves insertion order",
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slow.ofKind(EdgeKind.FEATURE).get(0).node == 0 &&
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slow.ofKind(EdgeKind.FEATURE).get(9).node == 9);
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check("order: fast preserves insertion order",
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fast.ofKind(EdgeKind.FEATURE).get(0).node == 0 &&
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fast.ofKind(EdgeKind.FEATURE).get(9).node == 9);
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}
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// --- Performance: O(E²) vs O(E) ---
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{
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// Simulate adding E unique FEATURE edges (no duplicates) — worst case for slow
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// because each insertion must scan the entire existing bucket.
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// Model: a package node with F feature edges, e.g. tokio with 50+ features.
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int F = 200; // feature edge count per node (--graph-features mode, large workspace)
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// Build edge list: F unique Feature edges
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List<Edge> edges = new ArrayList<>();
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for (int i = 0; i < F; i++) {
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edges.add(new Edge(EdgeKind.FEATURE, i, true));
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}
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// Warm up JIT
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for (int w = 0; w < 50; w++) {
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SlowEdges s = new SlowEdges();
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FastEdges f = new FastEdges();
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for (Edge e : edges) { s.addEdge(e); f.addEdge(e); }
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}
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int RUNS = 2_000;
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long slowContains = 0;
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long fastInserts = 0;
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long t0 = System.nanoTime();
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for (int r = 0; r < RUNS; r++) {
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SlowEdges s = new SlowEdges();
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for (Edge e : edges) s.addEdge(e);
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slowContains += s.containsChecks;
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}
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long slowNs = System.nanoTime() - t0;
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long t1 = System.nanoTime();
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for (int r = 0; r < RUNS; r++) {
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FastEdges f = new FastEdges();
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for (Edge e : edges) f.addEdge(e);
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fastInserts += f.insertCalls;
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}
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long fastNs = System.nanoTime() - t1;
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double ratio = (double) slowNs / fastNs;
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long slowOpsPerRun = slowContains / RUNS;
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long fastOpsPerRun = fastInserts / RUNS;
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System.out.printf(" INFO F=%d slow_contains_checks=%d fast_inserts=%d ratio=%.1fx%n",
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F, slowOpsPerRun, fastOpsPerRun, ratio);
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// Slow: F unique edges → 0+1+2+...+(F-1) = F*(F-1)/2 contains checks total
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long expectedSlowTotal = (long) F * (F - 1) / 2;
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check("slow: contains checks = F*(F-1)/2 per run (triangular O(F²))",
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slowOpsPerRun >= expectedSlowTotal);
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// Fast: exactly F insert calls per run
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check("fast: insert calls = F per run (O(F))",
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fastOpsPerRun == F);
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// Op ratio matches O(F²)/O(F) = O(F) = 200/2 = 100x difference in ops
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check("slow op count >> fast op count (>= 50x)",
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slowOpsPerRun >= fastOpsPerRun * 50);
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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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