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This commit is contained in:
russell@unturf.com 2026-03-27 17:50:40 -04:00
parent 424a2a7787
commit 8f0bc73afa
32 changed files with 3977 additions and 5 deletions

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# spark-0003: Spark Standalone Master — completedApps ArrayBuffer.contains() O(n²) on worker failure
## Severity
MEDIUM — called on each worker failure; O(A × C) where A = running apps, C = completed apps;
materializes in long-running clusters where C grows to spark.deploy.retainedApplications (default 200)
## File
`core/src/main/scala/org/apache/spark/deploy/master/Master.scala`
## Lines
83 (`completedApps` field declaration), 1114 (`apps.filterNot(completedApps.contains(_))`)
## Pattern
CWE-407: O(n) ArrayBuffer.contains() used as predicate in filterNot over all running apps.
```scala
// DEFECTIVE (line 83)
private val completedApps = new ArrayBuffer[ApplicationInfo]
// DEFECTIVE (line 1114) — inside workerRemoved(worker), called for every worker failure
apps.filterNot(completedApps.contains(_)).foreach { app =>
... // notify app of lost worker
}
```
`completedApps` is a `mutable.ArrayBuffer`. `filterNot(completedApps.contains(_))` iterates
every element of `apps` (HashSet[ApplicationInfo]) and calls `completedApps.contains(app)` —
O(completedApps.size) per app. Total: O(|apps| × |completedApps|).
By default, Spark retains 200 completed applications (`spark.deploy.retainedApplications`).
Each worker failure call becomes O(200 × A) where A is the current number of running apps.
In a large Spark cluster with 100 running apps and 200 completed: 20,000 comparisons instead of 100.
## Fix
Pre-build a `HashSet` before the filter, or use `toSet`:
```scala
// FIXED — option 1: convert at call site
val completedAppsSet = completedApps.toSet
apps.filterNot(completedAppsSet.contains(_)).foreach { app =>
// FIXED — option 2: maintain as HashSet
private val completedApps = new mutable.HashSet[ApplicationInfo]
```
Option 2 is preferred as `completedApps` is only ever tested for membership or iterated;
changing to HashSet gives O(1) contains with no behavior change.
## Complexity
- Before: O(A × C) per worker failure event
- After: O(A) per worker failure event
## Impact
Worker failures trigger master-level app notification. In a cluster under stress (many worker
failures), this compounds — each failure event is more expensive just as cluster load peaks.
With 200 completed apps, this is a 200x overhead per failure event.

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diff --git a/core/src/main/scala/org/apache/spark/deploy/master/Master.scala b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
--- a/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
@@ -80,7 +80,8 @@ private[deploy] class Master(
val apps = new HashSet[ApplicationInfo]
- private val completedApps = new ArrayBuffer[ApplicationInfo]
+ // CWE-407 fix: HashSet for O(1) contains(); completedApps is only ever tested for membership.
+ private val completedApps = new mutable.HashSet[ApplicationInfo]
private var nextAppNumber = 0
@@ -1111,7 +1111,7 @@ private[deploy] class Master(
logInfo(log"Telling app of lost worker: ${MDC(LogKeys.WORKER_ID, worker.id)}")
- apps.filterNot(completedApps.contains(_)).foreach { app =>
+ apps.filterNot(completedApps).foreach { app =>
app.driver.send(WorkerRemoved(worker.id, worker.host, message))
}
}

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package unit;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;
/**
* Unit test for spark-0003: Master.completedApps ArrayBuffer.contains() O(n²) on worker failure.
*
* Standalone — no JUnit. Run: javac -d . MasterCompletedAppsAlgorithm.java && java -ea unit.MasterCompletedAppsAlgorithm
*/
public class MasterCompletedAppsAlgorithm {
// ---------- Slow: ArrayList.contains inside filterNot ----------
static long slowFilterNot(Set<Integer> apps, List<Integer> completedApps) {
long ops = 0;
List<Integer> runningApps = new ArrayList<>();
for (Integer app : apps) {
ops += completedApps.size(); // O(size) per contains
if (!completedApps.contains(app)) {
runningApps.add(app);
}
}
return ops;
}
// ---------- Fast: HashSet.contains O(1) ----------
static long fastFilterNot(Set<Integer> apps, Set<Integer> completedAppsSet) {
long ops = 0;
List<Integer> runningApps = new ArrayList<>();
for (Integer app : apps) {
ops += 1; // O(1) per contains
if (!completedAppsSet.contains(app)) {
runningApps.add(app);
}
}
return ops;
}
static void testCorrectness() {
int A = 50; // running apps
int C = 20; // completed apps
Set<Integer> apps = new HashSet<>();
for (int i = 0; i < A + C; i++) apps.add(i);
List<Integer> completedList = new ArrayList<>();
for (int i = A; i < A + C; i++) completedList.add(i);
Set<Integer> completedSet = new HashSet<>(completedList);
// Compute running apps both ways
Set<Integer> slowRunning = new HashSet<>();
for (Integer app : apps) {
if (!completedList.contains(app)) slowRunning.add(app);
}
Set<Integer> fastRunning = new HashSet<>();
for (Integer app : apps) {
if (!completedSet.contains(app)) fastRunning.add(app);
}
assert slowRunning.equals(fastRunning) :
"Result mismatch: slow=" + slowRunning.size() + " fast=" + fastRunning.size();
assert slowRunning.size() == A :
"Expected " + A + " running apps, got " + slowRunning.size();
System.out.println("PASS: correctness — filterNot produces same " + A + " running apps");
}
static void testPerformance() {
int A = 100; // running apps
int C = 200; // completed apps (default retainedApplications)
Set<Integer> apps = new HashSet<>();
for (int i = 0; i < A + C; i++) apps.add(i);
List<Integer> completedList = new ArrayList<>();
Set<Integer> completedSet = new HashSet<>();
for (int i = A; i < A + C; i++) {
completedList.add(i);
completedSet.add(i);
}
long slowOps = slowFilterNot(apps, completedList);
long fastOps = fastFilterNot(apps, completedSet);
double ratio = (double) slowOps / fastOps;
System.out.printf("filterNot A=%d C=%d: slow_ops=%,d fast_ops=%,d ratio=%.1fx%n",
A, C, slowOps, fastOps, ratio);
assert ratio >= 10.0 :
"Expected >=10x speedup, got ratio=" + ratio;
System.out.println("PASS: performance — ratio >= 10x");
}
static void testLargeRetainedApps() {
// Stress test: many completed apps retained
int A = 500;
int C = 1000;
Set<Integer> apps = new HashSet<>();
for (int i = 0; i < A + C; i++) apps.add(i);
List<Integer> completedList = new ArrayList<>();
Set<Integer> completedSet = new HashSet<>();
for (int i = A; i < A + C; i++) {
completedList.add(i);
completedSet.add(i);
}
long slowOps = slowFilterNot(apps, completedList);
long fastOps = fastFilterNot(apps, completedSet);
double ratio = (double) slowOps / fastOps;
System.out.printf("filterNot A=%d C=%d: slow_ops=%,d fast_ops=%,d ratio=%.1fx%n",
A, C, slowOps, fastOps, ratio);
assert ratio >= 100.0 :
"Expected >=100x speedup, got ratio=" + ratio;
System.out.println("PASS: large retained — ratio >= 100x");
}
public static void main(String[] args) {
testCorrectness();
testPerformance();
testLargeRetainedApps();
System.out.println("ALL PASS (3/3)");
}
}