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russell@unturf.com 2026-03-27 17:50:40 -04:00
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# elasticsearch-004: IndexGraveyard.containsIndex O(n²) List scan in DanglingIndicesState loop
## Classification
- **CWE**: CWE-407 (Inefficient Algorithmic Complexity)
- **Severity**: MEDIUM
- **Path**: Node startup and periodic dangling-index detection
## Location
`server/src/main/java/org/elasticsearch/cluster/metadata/IndexGraveyard.java:120`
`server/src/main/java/org/elasticsearch/gateway/DanglingIndicesState.java:67`
## Defect
```java
// IndexGraveyard.java
private final List<Tombstone> tombstones; // up to 500 tombstones (cluster.indices.tombstones.size)
public boolean containsIndex(final Index index) {
for (Tombstone tombstone : tombstones) { // O(T) — linear scan
if (tombstone.getIndex().equals(index)) {
return true;
}
}
return false;
}
// DanglingIndicesState.java — called at node startup and on cluster state change
for (IndexMetadata indexMetadata : indexMetadataList) { // O(I) — for each index file on disk
Index index = indexMetadata.getIndex();
if (graveyard.containsIndex(index) == false) { // O(T) — linear scan per index
danglingIndices.put(index, stripAliases(indexMetadata));
}
}
```
**Total complexity:** O(I × T) where I = index files on disk, T = tombstones (default max 500).
In a cluster that has experienced heavy index churn (many create/delete cycles), both I and T
approach their limits, producing 500 × 500 = 250,000 equality checks on every dangling-index
scan. The scan runs at node startup (blocking) and on every cluster state update.
## Fix
Pre-build a `HashSet<Index>` from the tombstones once, then do O(1) membership tests:
```java
// IndexGraveyard.java — add a helper or cache
public Set<Index> tombstoneIndexSet() {
Set<Index> set = new HashSet<>(tombstones.size() * 2);
for (Tombstone t : tombstones) {
set.add(t.getIndex());
}
return set;
}
// DanglingIndicesState.java
Set<Index> graveyardSet = graveyard.tombstoneIndexSet(); // O(T) once
for (IndexMetadata indexMetadata : indexMetadataList) { // O(I)
Index index = indexMetadata.getIndex();
if (graveyardSet.contains(index) == false) { // O(1)
danglingIndices.put(index, stripAliases(indexMetadata));
}
}
```
**Result:** O(I + T) — linear rather than quadratic.
## Overhead Measurement
| I (indices) | T (tombstones) | Slow ops | Fast ops | Ratio |
|-------------|----------------|----------|----------|-------|
| 100 | 100 | 10,000 | 200 | 50x |
| 500 | 500 | 250,000 | 1,000 | 250x |
| 1000 | 500 | 500,000 | 1,500 | 333x |