wave7: 433/194 — kafka/flink/pulsar, spring/micronaut/quarkus, nginx/haproxy/traefik, linux/nomad/consul, numpy/pandas/sklearn, ES/OS/pg/sqlite/rustc/cargo
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68
defects/nomad/patch/nomad-0001-bitmap-filter.md
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68
defects/nomad/patch/nomad-0001-bitmap-filter.md
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# nomad-0001: Bitmap.IndexesInRangeFiltered — O(range × filter) port allocation
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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HIGH
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## Location
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`nomad/structs/bitmap.go:94`
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Called from `nomad/structs/network.go:682` (`getDynamicPortsPrecise`)
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## Description
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`IndexesInRangeFiltered` iterates over every port in [minDynamicPort, maxDynamicPort]
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(default 20000–60000 → up to 40 000 iterations) and for each port calls
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`slices.Contains(filter, int(i))` — a linear scan over `portsInOffer`.
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```go
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for i := from; i <= to && i < b.Size(); i++ {
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c := b.Check(i)
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if c == set {
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if len(filter) < 1 || !slices.Contains(filter, int(i)) { // O(|filter|)
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indexes = append(indexes, int(i))
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}
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}
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}
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```
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This executes on every job placement (scheduler hot path). With P ports already
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offered and a port range of R:
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| Complexity | Observed |
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|------------|---------|
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| Slow (current) | O(R × P) |
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| Fast (patched) | O(R + P) |
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At R=40 000 and P=100 already-offered ports this is 4 000 000 operations vs 40 100.
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## Fix
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Convert `filter` to a `map[int]struct{}` (or Go 1.21 `sets.Set`) before the loop.
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```go
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func (b Bitmap) IndexesInRangeFiltered(set bool, from, to uint, filter []int) []int {
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filterSet := make(map[int]struct{}, len(filter))
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for _, f := range filter {
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filterSet[f] = struct{}{}
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}
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var indexes []int
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for i := from; i <= to && i < b.Size(); i++ {
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if b.Check(i) == set {
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if len(filterSet) == 0 {
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indexes = append(indexes, int(i))
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} else if _, skip := filterSet[int(i)]; !skip {
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indexes = append(indexes, int(i))
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}
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}
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}
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return indexes
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}
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```
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## Impact
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Every Nomad job placement that requests dynamic ports calls this function.
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High-density clusters scheduling many allocations simultaneously are most
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affected. Cumulative O(n²) slowdown degrades scheduler throughput.
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## Speedup
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~100x at R=40 000, P=100 (measured in unit test).
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34
defects/nomad/patch/nomad-0002-stream-namespace-filter.md
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34
defects/nomad/patch/nomad-0002-stream-namespace-filter.md
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# nomad-0002: stream/subscription filter() — O(events × namespaces)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`nomad/stream/subscription.go:142`
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## Description
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The `filter()` function iterates over all incoming events and for each event
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calls `slices.Contains(req.Namespaces, event.Namespace)` — a linear scan over
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the namespace allowlist.
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```go
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for _, event := range events {
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if event.Namespace != "" && !slices.Contains(req.Namespaces, event.Namespace) {
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continue
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}
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...
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}
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```
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With E events per batch and N subscribed namespaces: O(E × N).
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## Fix
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Build a `map[string]struct{}` from `req.Namespaces` once before the loop
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(or store it pre-built on `SubscribeRequest`).
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## Speedup
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~Nx where N = number of subscribed namespaces; worst case in large multi-tenant
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clusters with many namespace subscriptions.
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35
defects/nomad/patch/nomad-0003-vault-secrets-dedup.md
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defects/nomad/patch/nomad-0003-vault-secrets-dedup.md
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# nomad-0003: GetVaultConfigurations secrets dedup — O(tasks × secrets²)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`nomad/structs/structs.go:5098-5102`
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## Description
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Three nested loops — task groups → tasks → secrets — with an inner
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`slices.Contains(secrets, s.Provider)` scan to deduplicate providers.
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The `secrets` slice grows as providers are appended, so each check
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scans an O(P) growing accumulator.
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```go
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for _, tg := range j.TaskGroups {
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secrets := []string{}
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for _, task := range tg.Tasks {
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for _, s := range task.Secrets {
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if !slices.Contains(secrets, s.Provider) { // O(|secrets|)
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secrets = append(secrets, s.Provider)
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}
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}
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}
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}
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```
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## Fix
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Replace `secrets []string` accumulator with `map[string]struct{}`.
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## Speedup
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~Px where P = number of distinct secret providers per task group.
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30
defects/nomad/patch/nomad-0004-checkstore-difference.md
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30
defects/nomad/patch/nomad-0004-checkstore-difference.md
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# nomad-0004: checkstore.shim.Difference — O(current × ids)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`client/serviceregistration/checks/checkstore/shim.go:152-155`
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## Description
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`Difference` iterates over all stored check IDs for an allocation and for
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each calls `slices.Contains(ids, id)` — a linear scan over the input slice.
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```go
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for id := range s.current[allocID] {
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if !slices.Contains(ids, id) { // O(|ids|)
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remove = append(remove, id)
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}
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}
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```
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With C stored checks and I input IDs: O(C × I).
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## Fix
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Build a `map[structs.CheckID]struct{}` from `ids` before the loop.
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## Speedup
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~Ix speedup where I = len(ids).
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