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docs(proposal): Migration Rollback Protection #5101
docs(proposal): Migration Rollback Protection #5101
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Codecov ReportAll modified and coverable lines are covered by tests ✅
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## master #5101 +/- ##
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- Coverage 34.87% 34.85% -0.03%
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Files 645 645
Lines 44833 44861 +28
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- Hits 15637 15635 -2
- Misses 27991 28021 +30
Partials 1205 1205
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Thanks a lot @CharlesQQ
Hi, guys @RainbowMango @chaunceyjiang @whitewindmills @zhy76 @buji-code @lcw2
We can discuss here to improve the resource deletion policy.
/assign |
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does this annotation have a knock-on effect on dependent resources?―that is, one adds such an annotation to his Deployment, will the annotation affect its dependent resources(like ConfigMap
)?
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Extended by Annotation or Extend the fields of Work Choose one, I'm more tend to solution 1. |
got it, solution 1(+1) |
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Solution One: | ||
Disadvantages: | ||
- When the `execution-controller` determines whether to cascade delete resources in the member clusters, it needs to parse the resources in the Work template from the manifest, which adds an extra parsing overhead. |
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For now, during the process of deleting the workload, the execution-controller
unmarshals the manifest already, does this approach adds extra overhead?
karmada/pkg/controllers/execution/execution_controller.go
Lines 165 to 182 in b27e669
func (c *Controller) tryDeleteWorkload(ctx context.Context, clusterName string, work *workv1alpha1.Work) error { | |
for _, manifest := range work.Spec.Workload.Manifests { | |
workload := &unstructured.Unstructured{} | |
err := workload.UnmarshalJSON(manifest.Raw) | |
if err != nil { | |
klog.Errorf("Failed to unmarshal workload, error is: %v", err) | |
return err | |
} | |
err = c.ObjectWatcher.Delete(ctx, clusterName, workload) | |
if err != nil { | |
klog.Errorf("Failed to delete resource in the given member cluster %v, err is %v", clusterName, err) | |
return err | |
} | |
} | |
return nil | |
} |
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Good point. For this approach, no extra parsing overhead is required.
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--- | ||
title: Use Cascading Deletion in Karmada | ||
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authors: | ||
- "@CharlesQQ" | ||
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reviewers: | ||
- "@robot" | ||
- TBD | ||
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approvers: | ||
- "@robot" | ||
- TBD | ||
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creation-date: 2024-07-01 |
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--- | |
title: Use Cascading Deletion in Karmada | |
authors: | |
- "@CharlesQQ" | |
reviewers: | |
- "@robot" | |
- TBD | |
approvers: | |
- "@robot" | |
- TBD | |
creation-date: 2024-07-01 | |
--- | |
title: Use Cascading Deletion in Karmada | |
authors: | |
- "@CharlesQQ" | |
reviewers: | |
- "@robot" | |
- TBD | |
approvers: | |
- "@robot" | |
- TBD | |
creation-date: 2024-07-01 | |
--- |
Please update the reviewers by adding the guys who reviewed this proposal.
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@@ -0,0 +1,388 @@ | |||
--- | |||
title: Use Cascading Deletion in Karmada |
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How about naming this feature as Migration Rollback Protection
?
Forget cascading
to avoid misleading.
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+1
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cc @RainbowMango |
<!-- | ||
提供一种联邦资源的删除策略,可供用户选择当删除联邦层工作负载时,是否同步删除成员集群中的工作负载。 | ||
此设置在工作负载迁移场景中特别有用,可以确保在不影响成员集群上运行的工作负载的情况下快速执行回滚。 | ||
--> |
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Please remove all Chinese characters.
Karmada 系统的当前行为是这样的,当用户删除 Karmada 控制面的资源时,会同步删除成员集群中被分发的资源。当在某些场景下,例如工作负载迁移回滚场景,用户希望能够保留成员集群中的工作负载。 | ||
--> | ||
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The current behavior of the Karmada system is that when a user deletes resources from the Karmada control plane, the distributed resources in the member clusters are also deleted synchronously. However, in certain scenarios, such as workload migration rollout scenarios, users may wish to retain the workloads in the member clusters. |
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The current behavior of the Karmada system is that when a user deletes resources from the Karmada control plane, the distributed resources in the member clusters are also deleted synchronously. However, in certain scenarios, such as workload migration rollout scenarios, users may wish to retain the workloads in the member clusters. | |
The current behavior of the Karmada system is that when a user deletes resources from the Karmada control plane, the distributed resources in the member clusters are also deleted synchronously. However, in certain scenarios, such as workload migration scenarios, users may wish to retain the workloads in the member clusters. |
Signed-off-by: chang.qiangqiang <chang.qiangqiang@immomo.com>
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/lgtm
/approve
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: RainbowMango The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
What type of PR is this?
What this PR does / why we need it:
Which issue(s) this PR fixes:
part of #4709
Special notes for your reviewer:
Does this PR introduce a user-facing change?: