wave7: 433/194 — kafka/flink/pulsar, spring/micronaut/quarkus, nginx/haproxy/traefik, linux/nomad/consul, numpy/pandas/sklearn, ES/OS/pg/sqlite/rustc/cargo

This commit is contained in:
russell@unturf.com 2026-03-27 16:20:58 -04:00
parent 3735145aa5
commit 5fe6da7cc2
69 changed files with 6793 additions and 32 deletions

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# nomad-0001: Bitmap.IndexesInRangeFiltered — O(range × filter) port allocation
## CWE
CWE-407: Inefficient Algorithmic Complexity
## Severity
HIGH
## Location
`nomad/structs/bitmap.go:94`
Called from `nomad/structs/network.go:682` (`getDynamicPortsPrecise`)
## Description
`IndexesInRangeFiltered` iterates over every port in [minDynamicPort, maxDynamicPort]
(default 20000–60000 → up to 40 000 iterations) and for each port calls
`slices.Contains(filter, int(i))` — a linear scan over `portsInOffer`.
```go
for i := from; i <= to && i < b.Size(); i++ {
c := b.Check(i)
if c == set {
if len(filter) < 1 || !slices.Contains(filter, int(i)) { // O(|filter|)
indexes = append(indexes, int(i))
}
}
}
```
This executes on every job placement (scheduler hot path). With P ports already
offered and a port range of R:
| Complexity | Observed |
|------------|---------|
| Slow (current) | O(R × P) |
| Fast (patched) | O(R + P) |
At R=40 000 and P=100 already-offered ports this is 4 000 000 operations vs 40 100.
## Fix
Convert `filter` to a `map[int]struct{}` (or Go 1.21 `sets.Set`) before the loop.
```go
func (b Bitmap) IndexesInRangeFiltered(set bool, from, to uint, filter []int) []int {
filterSet := make(map[int]struct{}, len(filter))
for _, f := range filter {
filterSet[f] = struct{}{}
}
var indexes []int
for i := from; i <= to && i < b.Size(); i++ {
if b.Check(i) == set {
if len(filterSet) == 0 {
indexes = append(indexes, int(i))
} else if _, skip := filterSet[int(i)]; !skip {
indexes = append(indexes, int(i))
}
}
}
return indexes
}
```
## Impact
Every Nomad job placement that requests dynamic ports calls this function.
High-density clusters scheduling many allocations simultaneously are most
affected. Cumulative O(n²) slowdown degrades scheduler throughput.
## Speedup
~100x at R=40 000, P=100 (measured in unit test).

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# nomad-0002: stream/subscription filter() — O(events × namespaces)
## CWE
CWE-407: Inefficient Algorithmic Complexity
## Severity
MEDIUM
## Location
`nomad/stream/subscription.go:142`
## Description
The `filter()` function iterates over all incoming events and for each event
calls `slices.Contains(req.Namespaces, event.Namespace)` — a linear scan over
the namespace allowlist.
```go
for _, event := range events {
if event.Namespace != "" && !slices.Contains(req.Namespaces, event.Namespace) {
continue
}
...
}
```
With E events per batch and N subscribed namespaces: O(E × N).
## Fix
Build a `map[string]struct{}` from `req.Namespaces` once before the loop
(or store it pre-built on `SubscribeRequest`).
## Speedup
~Nx where N = number of subscribed namespaces; worst case in large multi-tenant
clusters with many namespace subscriptions.

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# nomad-0003: GetVaultConfigurations secrets dedup — O(tasks × secrets²)
## CWE
CWE-407: Inefficient Algorithmic Complexity
## Severity
MEDIUM
## Location
`nomad/structs/structs.go:5098-5102`
## Description
Three nested loops — task groups → tasks → secrets — with an inner
`slices.Contains(secrets, s.Provider)` scan to deduplicate providers.
The `secrets` slice grows as providers are appended, so each check
scans an O(P) growing accumulator.
```go
for _, tg := range j.TaskGroups {
secrets := []string{}
for _, task := range tg.Tasks {
for _, s := range task.Secrets {
if !slices.Contains(secrets, s.Provider) { // O(|secrets|)
secrets = append(secrets, s.Provider)
}
}
}
}
```
## Fix
Replace `secrets []string` accumulator with `map[string]struct{}`.
## Speedup
~Px where P = number of distinct secret providers per task group.

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# nomad-0004: checkstore.shim.Difference — O(current × ids)
## CWE
CWE-407: Inefficient Algorithmic Complexity
## Severity
MEDIUM
## Location
`client/serviceregistration/checks/checkstore/shim.go:152-155`
## Description
`Difference` iterates over all stored check IDs for an allocation and for
each calls `slices.Contains(ids, id)` — a linear scan over the input slice.
```go
for id := range s.current[allocID] {
if !slices.Contains(ids, id) { // O(|ids|)
remove = append(remove, id)
}
}
```
With C stored checks and I input IDs: O(C × I).
## Fix
Build a `map[structs.CheckID]struct{}` from `ids` before the loop.
## Speedup
~Ix speedup where I = len(ids).

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package unit;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
/**
* nomad CWE-407 unit tests:
*
* nomad-0001: Bitmap.IndexesInRangeFiltered — slices.Contains(filter) inside O(range) loop
* nomad-0002: stream/subscription.filter() — slices.Contains(namespaces) per event
* nomad-0003: GetVaultConfigurations dedup — slices.Contains(secrets) inside nested loops
* nomad-0004: checkstore.Difference — slices.Contains(ids) per stored check
*
* No JUnit, no external deps.
* Compile: javac -d . NomadAlgorithmTest.java
* Run: java -ea unit.NomadAlgorithmTest
*/
public class NomadAlgorithmTest {
static int passed = 0;
static int total = 0;
// -----------------------------------------------------------------------
// nomad-0001: Bitmap.IndexesInRangeFiltered
// -----------------------------------------------------------------------
/**
* Slow: mirrors Go IndexesInRangeFiltered with slices.Contains.
* For each index in [from, to], linearly scans filter[] → O(range × |filter|).
*/
static long slowIndexesInRangeFiltered(boolean[] bitmap, int from, int to, int[] filter) {
long ops = 0;
List<Integer> result = new ArrayList<>();
for (int i = from; i <= to; i++) {
ops++;
if (!bitmap[i]) {
if (filter.length == 0) {
result.add(i);
} else {
// linear scan — the defect
boolean skip = false;
for (int f : filter) {
ops++;
if (f == i) { skip = true; break; }
}
if (!skip) result.add(i);
}
}
}
return ops;
}
/**
* Fast: build map[int] from filter once, then O(1) lookup per index → O(range + |filter|).
*/
static long fastIndexesInRangeFiltered(boolean[] bitmap, int from, int to, int[] filter) {
long ops = 0;
Set<Integer> filterSet = new HashSet<>();
for (int f : filter) { filterSet.add(f); ops++; }
List<Integer> result = new ArrayList<>();
for (int i = from; i <= to; i++) {
ops++;
if (!bitmap[i]) {
if (filterSet.isEmpty() || !filterSet.contains(i)) {
result.add(i);
}
}
}
return ops;
}
static void testBitmapFilter() {
System.out.println("--- nomad-0001: Bitmap.IndexesInRangeFiltered ---");
// Simulate port range 20000-60000 (40000 ports), P already-offered ports
int minPort = 20000;
int maxPort = 60000;
int bitmapSize = maxPort + 1;
boolean[] bitmap = new boolean[bitmapSize]; // all false = available
int[] offerSizes = {10, 50, 100};
for (int p : offerSizes) {
int[] filter = new int[p];
for (int i = 0; i < p; i++) filter[i] = minPort + i;
long slowOps = slowIndexesInRangeFiltered(bitmap, minPort, maxPort, filter);
long fastOps = fastIndexesInRangeFiltered(bitmap, minPort, maxPort, filter);
double ratio = (double) slowOps / fastOps;
boolean pass = ratio > (double) p / 2.0; // conservative: expect at least p/2 speedup
total++;
if (pass) passed++;
System.out.printf(" range=%d filter=%-3d slow=%,10d fast=%,10d ratio=%6.1fx %s%n",
maxPort - minPort, p, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
assert pass : "nomad-0001 FAIL: ratio=" + ratio + " expected >" + (p / 2.0);
}
}
// -----------------------------------------------------------------------
// nomad-0002: stream/subscription filter — namespace check per event
// -----------------------------------------------------------------------
/**
* Slow: slices.Contains(namespaces, event.Namespace) per event → O(E × N).
*/
static long slowFilterEvents(String[] events, String[] namespaces) {
long ops = 0;
List<String> result = new ArrayList<>();
for (String event : events) {
ops++;
// linear scan over namespaces
boolean found = false;
for (String ns : namespaces) {
ops++;
if (ns.equals(event)) { found = true; break; }
}
if (found) result.add(event);
}
return ops;
}
/**
* Fast: pre-build HashSet from namespaces → O(E + N).
*/
static long fastFilterEvents(String[] events, String[] namespaces) {
long ops = 0;
Set<String> nsSet = new HashSet<>();
for (String ns : namespaces) { nsSet.add(ns); ops++; }
List<String> result = new ArrayList<>();
for (String event : events) {
ops++;
if (nsSet.contains(event)) result.add(event);
}
return ops;
}
static void testStreamNamespaceFilter() {
System.out.println("--- nomad-0002: stream filter namespace scan ---");
int[] eventCounts = {1000, 5000, 10000};
int namespaceCount = 50;
String[] namespaces = new String[namespaceCount];
for (int i = 0; i < namespaceCount; i++) namespaces[i] = "ns-" + i;
for (int e : eventCounts) {
String[] events = new String[e];
for (int i = 0; i < e; i++) events[i] = "ns-" + (i % namespaceCount);
long slowOps = slowFilterEvents(events, namespaces);
long fastOps = fastFilterEvents(events, namespaces);
double ratio = (double) slowOps / fastOps;
boolean pass = ratio > (double) namespaceCount / 3.0;
total++;
if (pass) passed++;
System.out.printf(" events=%-5d namespaces=%d slow=%,10d fast=%,8d ratio=%6.1fx %s%n",
e, namespaceCount, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
assert pass : "nomad-0002 FAIL: ratio=" + ratio;
}
}
// -----------------------------------------------------------------------
// nomad-0003: GetVaultConfigurations secret provider dedup
// -----------------------------------------------------------------------
/**
* Slow: accumulate providers in a list, slices.Contains check per entry → O(S²).
*/
static long slowProviderDedup(String[] providers) {
long ops = 0;
List<String> secrets = new ArrayList<>();
for (String p : providers) {
ops++;
boolean found = false;
for (String existing : secrets) {
ops++;
if (existing.equals(p)) { found = true; break; }
}
if (!found) secrets.add(p);
}
return ops;
}
/**
* Fast: use HashSet for O(1) contains → O(S).
*/
static long fastProviderDedup(String[] providers) {
long ops = 0;
Set<String> seen = new HashSet<>();
for (String p : providers) {
ops++;
seen.add(p);
}
return ops;
}
static void testVaultSecretsDedup() {
System.out.println("--- nomad-0003: vault secrets provider dedup ---");
// Many tasks, few unique providers → worst case for the dedup scan
int[] sizes = {200, 500, 1000};
int uniqueProviders = 10;
for (int n : sizes) {
String[] providers = new String[n];
for (int i = 0; i < n; i++) providers[i] = "provider-" + (i % uniqueProviders);
long slowOps = slowProviderDedup(providers);
long fastOps = fastProviderDedup(providers);
double ratio = (double) slowOps / fastOps;
boolean pass = ratio > 5.0;
total++;
if (pass) passed++;
System.out.printf(" tasks=%-4d unique=%d slow=%,8d fast=%,6d ratio=%6.1fx %s%n",
n, uniqueProviders, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
assert pass : "nomad-0003 FAIL: ratio=" + ratio;
}
}
// -----------------------------------------------------------------------
// nomad-0004: checkstore.Difference — O(current × ids)
// -----------------------------------------------------------------------
/**
* Slow: for each stored ID, scan the ids[] slice → O(C × I).
*/
static long slowDifference(String[] stored, String[] ids) {
long ops = 0;
List<String> remove = new ArrayList<>();
for (String id : stored) {
ops++;
boolean found = false;
for (String x : ids) {
ops++;
if (x.equals(id)) { found = true; break; }
}
if (!found) remove.add(id);
}
return ops;
}
/**
* Fast: build set from ids, O(1) lookup per stored ID → O(C + I).
*/
static long fastDifference(String[] stored, String[] ids) {
long ops = 0;
Set<String> idSet = new HashSet<>();
for (String x : ids) { idSet.add(x); ops++; }
List<String> remove = new ArrayList<>();
for (String id : stored) {
ops++;
if (!idSet.contains(id)) remove.add(id);
}
return ops;
}
static void testChecksStoreDifference() {
System.out.println("--- nomad-0004: checkstore.Difference ---");
int[] storedCounts = {100, 500, 1000};
int idCount = 80;
for (int c : storedCounts) {
String[] stored = new String[c];
for (int i = 0; i < c; i++) stored[i] = "check-" + i;
String[] ids = new String[idCount];
for (int i = 0; i < idCount; i++) ids[i] = "check-" + (i * 3); // sparse overlap
long slowOps = slowDifference(stored, ids);
long fastOps = fastDifference(stored, ids);
double ratio = (double) slowOps / fastOps;
boolean pass = ratio > (double) idCount / 3.0;
total++;
if (pass) passed++;
System.out.printf(" stored=%-4d ids=%d slow=%,8d fast=%,6d ratio=%6.1fx %s%n",
c, idCount, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
assert pass : "nomad-0004 FAIL: ratio=" + ratio;
}
}
// -----------------------------------------------------------------------
public static void main(String[] args) {
System.out.println("=== Nomad CWE-407 unit tests ===");
testBitmapFilter();
testStreamNamespaceFilter();
testVaultSecretsDedup();
testChecksStoreDifference();
System.out.printf("%n%d/%d PASS%n", passed, total);
if (passed != total) {
System.exit(1);
}
}
}