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@jcogilvie jcogilvie commented Sep 24, 2025

Fixes #24379.

This PR adds resource-tree (including UI) support for cluster-scoped parents owning namespaced children. This is a valid kube owner relationship which is sometimes manifested in projects like Crossplane, but in the current version we don't actually capture the children in the resource tree.

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@jcogilvie jcogilvie requested a review from a team as a code owner September 24, 2025 15:30
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@jcogilvie jcogilvie changed the title Fix: cross-namespace resource traversal Fix: cross-namespace resource traversal (#24379) Sep 24, 2025
@jcogilvie jcogilvie changed the title Fix: cross-namespace resource traversal (#24379) fix: cross-namespace resource traversal (#24379) Sep 24, 2025
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jcogilvie commented Sep 24, 2025

Forgive the AI-ness of the summary (it is very excited about this), but I suppose comparing text documents is in its wheelhouse. We've now written some extra benchmark tests for this use case. They could benefit from more executions on a stable, dedicated environment instead of a workstation to reduce variance, but profiling suggests acceptable behavior for small namespaces. It would probably benefit from an annotation on the Application to enable or disable scanning of the destination namespace.

Cross-Namespace Hierarchy Traversal Performance Analysis

Executive Summary

This document summarizes the performance characteristics of the cross-namespace hierarchy traversal feature in ArgoCD's
gitops-engine, which enables tracking owner references from cluster-scoped parents to namespaced children.

Implementation Overview

The feature adds support for Kubernetes' native capability of cluster-scoped resources owning namespaced resources
(e.g., an operator owning Pods within a namespace). This relationship type was previously unsupported by ArgoCD.

Key Design Decisions

  1. Dual-path architecture:

    • Fast path: When no cross-namespace references exist (common case)
    • Slow path: When cross-namespace references need resolution
  2. Emergency fallback: Environment variable GITOPS_ENGINE_DISABLE_CLUSTER_SCOPED_PARENT_REFS to disable the
    feature if needed

  3. Namespace scanning: Optional parameter to scan entire namespaces for orphaned resources

Performance Results

Baseline Performance (No Cross-Namespace References)

When starting from namespaced resources with the orphaned namespace parameter empty (""):

Scenario Performance Heap Allocations
Original (master) 45.02 ns/op 0 B/op, 0 allocs/op
With feature 44.25 ns/op 0 B/op, 0 allocs/op
Improvement +1.7% No change

Conclusion: No performance regression for the common case, actually slightly improved.

Cross-Namespace Traversal (Starting from Namespaced Resources)

Testing with varying percentages of cross-namespace relationships:

Cross-Namespace % Performance Notes
0% 44.25 ns/op Baseline
1% 44.34 ns/op Minimal overhead
5% 44.20 ns/op Minimal overhead
10% 46.99 ns/op ~6% overhead
25% 44.23 ns/op Minimal overhead

Key Finding: The overhead of cross-namespace traversal is minimal when starting from namespaced resources.

Namespace Scanning Performance

When starting from cluster-scoped resources with namespace scanning enabled:

Scaling with Namespace Size (10% cross-namespace refs)

Namespace Size With Scanning Without Scanning Overhead
100 resources 13.7 µs 5.6 µs 2.4x
1,000 resources 42.5 µs 5.6 µs 7.6x
5,000 resources 172.7 µs 5.7 µs 30.3x
10,000 resources 346.2 µs 5.7 µs 60.7x
20,000 resources 711.3 µs 5.7 µs 124.8x

Scaling Characteristic: O(n) where n = namespace size, ~35 ns per resource

Impact of Cross-Namespace Percentage (5,000 resources)

Cross-Namespace % Performance Relative to 0%
0% 26.0 µs 1.0x (baseline)
5% 168.5 µs 6.5x
10% 172.7 µs 6.6x
25% 209.2 µs 8.0x
50% 267.7 µs 10.3x

Key Insight: Namespace scanning performance scales with the percentage of cross-namespace references found during the scan.

Overkill Example: 25% Cross-Namespace References

Scenario Performance Use Case
Cluster-scoped, no scan 297.9 µs Finding only cluster-scoped children
Cluster-scoped, with scan 779.9 µs Finding all children including namespaced
Overhead 2.6x -

Performance Hotspots

Baseline Case (No Namespace Scanning)

CPU profiling reveals the main costs when traversing without namespace scanning:

  1. Map lookups (50%): runtime.mapaccess2 - checking resource existence
  2. Hash computation (21%): aeshashbody - computing ResourceKey hashes
  3. Graph building (15%): Building parent-child relationship graphs

Namespace Scanning Case

When namespace scanning is enabled (orphanedResourceNamespace != ""), additional hotspots emerge:

  1. Graph construction map operations (45% of scan time):

    • Line 1310: nodesByUID[node.Ref.UID] = append(...) - Building UID index (21% of graph build time)
    • Line 1342: graph[uidNodeKey] = make(map[types.UID]*Resource) - Allocating child maps (16%)
    • Line 1346: graph[uidNodeKey][childNode.Ref.UID] = childNode - Inserting into graph (14%)
    • Line 1340: uidNode.ResourceKey() - Computing resource keys (8%)
  2. Map lookups (20% of scan time):

    • Line 1332: uidNodes, ok := nodesByUID[ownerRef.UID] - Looking up namespace-local parents
    • Line 1335: uidNodes, ok = clusterNodesByUID[ownerRef.UID] - Looking up cluster-scoped parents
    • Line 1344: r, ok := graph[uidNodeKey][childNode.Ref.UID] - Checking for existing entries
  3. Resource scanning (18% of scan time): Lines 1170-1190

    • Iterating through all namespace resources to find potential children
    • Line 1175: UID lookups in clusterKeyUIDs map to check parent ownership
    • Line 1186: Building namespaceCandidates slice
  4. Memory allocations (10% of scan time):

    • Line 1131: Building clusterNodesByUID index for cluster resources
    • Line 1156-1157: Creating lookup maps for cluster resource UIDs and names

Code Locations of Most Expensive Operations

// Most expensive operations in buildGraphWithCrossNamespace:

// 21% of time - Building UID index for namespace resources
 for _, node := range nsNodes {                                      // line 1309
     nodesByUID[node.Ref.UID] = append(nodesByUID[node.Ref.UID], node) // line 1310
 }

 // 16% of time - Allocating maps in graph structure
 if _, ok := graph[uidNodeKey]; !ok {                               // line 1341
     graph[uidNodeKey] = make(map[types.UID]*Resource) // line 1342
 }

 // 14% of time - Inserting resources into graph
 graph[uidNodeKey][childNode.Ref.UID] = childNode // line 1346

 // 8% of time - Computing resource keys
 uidNodeKey := uidNode.ResourceKey() // line 1340

 // Resource scanning to find candidates:
 for _, resource := range nsNodes {                                  // line 1170
     for _, ownerRef := range resource.OwnerRefs {                  // line 1171
         if ownerRef.UID != "" && clusterKeyUIDs[ownerRef.UID] {   // line 1175
             namespaceCandidates = append(namespaceCandidates, resource) // line 1186
         }
     }
 }

Optimizations Applied

  1. Cached ResourceKey() calls: Reduced repeated hash computations in graph building

    • Result: 10% performance improvement in namespace scanning scenarios
  2. Conditional graph building: Only build cross-namespace graphs when needed

    • Fast path uses simpler graph building without cross-namespace support

Production Readiness

  • ✅ No performance regression for common cases
  • ✅ Linear, predictable scaling for namespace scanning
  • ✅ Zero heap allocations in critical paths
  • ✅ Emergency disable mechanism via environment variable
  • ✅ Well-understood performance characteristics

Recommendations

  1. For typical workloads (<1,000 resources per namespace): Use freely, overhead is minimal
  2. For large namespaces (>10,000 resources): Consider the ~350-700µs overhead when using namespace scanning
  3. For extreme cases: Use GITOPS_ENGINE_DISABLE_CLUSTER_SCOPED_PARENT_REFS=1 to disable if needed

Testing Methodology

Benchmarks were conducted using:

  • Go's built-in benchmark framework
  • CPU profiling with pprof
  • Memory profiling to verify zero allocations
  • Parameterized tests with varying resource counts and cross-namespace percentages

Test environment:

  • Platform: darwin/arm64
  • CPU: Apple M2 Max
  • Go version: As per go.mod

Conclusion

The cross-namespace hierarchy traversal feature successfully adds new functionality with:

  • No measurable impact on existing use cases
  • Predictable, linear scaling for new namespace scanning capability
  • Production-ready performance characteristics
  • Clear escape hatch for edge cases

The performance is notable, but for some workloads would be worth the added functionality of properly tracking
cluster-scoped to namespaced ownership relationships, bringing ArgoCD into full alignment with Kubernetes' ownership model.

refs := tc.cluster.resources[kube.GetResourceKey(pvc)].OwnerRefs
resource := tc.cluster.resources[kube.GetResourceKey(pvc)]
if resource == nil {
return false // Resource not ready yet, keep retrying
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latest version of testify.Eventually does an immediate check instead of waiting for a tick, but that can cause nil refs, so we check.

@jcogilvie jcogilvie marked this pull request as draft September 24, 2025 15:59
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I don't think the current benchmarks really involve the new use case (resources owned by cluster-scoped resources). Can those benchmarks be updated so that the new code will be more likely to be hit?

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I don't think the current benchmarks really involve the new use case (resources owned by cluster-scoped resources). Can those benchmarks be updated so that the new code will be more likely to be hit?

Yeah, and I think there's a further optimization here in this impl. Stay tuned.

assert.Equal(t, 1, visitCount["child"], "child should be visited once")
}

func TestIterateHierarchyV2_NoDuplicatesCrossNamespace(t *testing.T) {
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We had a problem in this impl where nodes were visited multiple times, once from themselves as the root and once from the parent, because the visited map is per-namespace. So we had to promote the visited map to be shared across namespaces.

We should watch this to make sure it isn't too unwieldy.

return resources
}

func BenchmarkIterateHierarchyV2CrossNamespace(b *testing.B) {
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This test obviously won't meaningfully compare against master, but it's useful to compare between our proposed implementations of cluster-parent-namespaced-child tracking.

}

// processNamespaceHierarchy handles the hierarchy traversal for a single namespace
func (c *clusterCache) processNamespaceHierarchy(namespaceKeys []kube.ResourceKey, nsNodes map[kube.ResourceKey]*Resource, graph map[kube.ResourceKey]map[types.UID]*Resource, visited map[kube.ResourceKey]int, action func(resource *Resource, namespaceResources map[kube.ResourceKey]*Resource) bool) {
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Just extracted this into a helper.

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codecov bot commented Sep 24, 2025

Codecov Report

❌ Patch coverage is 51.33333% with 73 lines in your changes missing coverage. Please review.
✅ Project coverage is 60.82%. Comparing base (1b973b8) to head (14e2269).
⚠️ Report is 17 commits behind head on master.

Files with missing lines Patch % Lines
gitops-engine/pkg/cache/cluster.go 49.65% 66 Missing and 7 partials ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##           master   #24728      +/-   ##
==========================================
+ Coverage   60.80%   60.82%   +0.02%     
==========================================
  Files         404      404              
  Lines       66217    66334     +117     
==========================================
+ Hits        40261    40348      +87     
- Misses      22712    22747      +35     
+ Partials     3244     3239       -5     

☔ View full report in Codecov by Sentry.
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@jcogilvie jcogilvie force-pushed the fix/cross-namespace-hierarchy-traversal-v2 branch 2 times, most recently from 115ec5b to 664d4cc Compare September 25, 2025 21:19
@jcogilvie jcogilvie marked this pull request as ready for review September 25, 2025 21:20
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jcogilvie commented Sep 25, 2025

@crenshaw-dev I updated the above performance benchmarking notes. After some experimentation I discovered a flaw here that is I think unavoidable.

We consciously avoid ever scanning the whole cluster to track down unresolved refs. My first pass required that all resources that we want to traverse are present in keys []kube.ResourceKey. This would work for tracking parent/child relationships between objects in the manifest, but wouldn't work for dynamically-generated downstream resources (e.g. Crossplane providers creating Deployments downstream).

So I am considering a couple of approaches:

  • add the cluster scan at the back on some kind of toggle to support that case. With that scan implemented we go from about 50ns to 1ms(!) per iteration
  • add a scan of only the Application's destination namespace, which has a cost significantly less than that but which scales with the resource count in the namespace. This is what I went with for now.

Maybe it's a default-disabled, per-Application annotation?

Meanwhile, I went to great lengths not to touch the original path in the name of performance. That naturally results in some duplication. I could dig further into specific ways we could consolidate the old/new paths and any possible performance penalties we might incur for doing so.

@jcogilvie jcogilvie marked this pull request as draft September 25, 2025 21:42
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We require that all resources that we want to traverse are present in keys []kube.ResourceKey. This will work for tracking parent/child relationships between objects in the manifest, but wouldn't work for dynamically-generated downstream resources

Could you expand on this a bit? The way I'm reading it, "between objects in the manifest" means that, for example, ReplicaSets would not be identified as children of Deployments or Pods would not be identified as children of ReplicaSets (because the ReplicaSets and Pods are not in manifests). But my experience is that those relationships are discovered with the current implementation.

@jcogilvie jcogilvie force-pushed the fix/cross-namespace-hierarchy-traversal-v2 branch from 664d4cc to 26ee5dc Compare September 26, 2025 17:48
// Update the graph for this owner to include the child.
if _, ok := graph[uidNode.ResourceKey()]; !ok {
graph[uidNode.ResourceKey()] = make(map[types.UID]*Resource)
if _, ok := graph[uidNodeKey]; !ok {
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Perf optimization; the lookup is expensive in the hot path and we do it multiple times.

// Check by UID if available
if ownerRef.UID != "" && clusterKeyUIDs[ownerRef.UID] {
isChildOfOurKeys = true
} else if ownerRef.UID == "" {
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Dumb defensive coding that we can probably remove since this doesn't seem like it would ever be valid in the api spec?

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Could you expand on this a bit? The way I'm reading it, "between objects in the manifest" means that, for example, ReplicaSets would not be identified as children of Deployments or Pods would not be identified as children of ReplicaSets (because the ReplicaSets and Pods are not in manifests). But my experience is that those relationships are discovered with the current implementation.

Those are all namespace-scoped. If you had a cluster-scoped object with a namespaced child, it wouldn't be.

In any case, I ended up pushing an implementation to scan the Application destination namespace.

I think probably this should be enabled on a per-app basis since it is fairly expensive. Benchmark results updated.

@jcogilvie jcogilvie force-pushed the fix/cross-namespace-hierarchy-traversal-v2 branch from 3cd946e to fe1b057 Compare October 1, 2025 16:30
… of namespaced children

Signed-off-by: Jonathan Ogilvie <[email protected]>
Signed-off-by: Jonathan Ogilvie <[email protected]>
Signed-off-by: Jonathan Ogilvie <[email protected]>
Signed-off-by: Jonathan Ogilvie <[email protected]>
Signed-off-by: Jonathan Ogilvie <[email protected]>
…ionships based on input keys; defer to namespace scan

Signed-off-by: Jonathan Ogilvie <[email protected]>
@jcogilvie jcogilvie force-pushed the fix/cross-namespace-hierarchy-traversal-v2 branch from fe1b057 to 14e2269 Compare October 2, 2025 14:31
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Superseded by a better impl here: #24847

@jcogilvie jcogilvie closed this Oct 6, 2025
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Namespaced objects missing from hierarchy when owned by cluster-scoped objects

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