Investigate Performance Implications of Using Label Selectors / Delegated Filtering in Virtual Workspaces
When we first wrote the virtual workspace scaffolding, we chose to use label selectors to defer the filtering of values to the underlying shards, instead of any other approach that would have required in-memory presence of the larger object corpus.
We need to understand better the implication of this decision. To what extent are indices present in the watch cache able to make this decision ~performant? Does it blow up under scale?
Breadcrumbs: the DecoratedStorage constructor allows for indexers and index funcs, and some are passed in: e.g.:
// GetAttrs returns labels and fields of a given object for filtering purposes.
func (a customResourceStrategy) GetAttrs(obj runtime.Object) (labels.Set, fields.Set, error) {
accessor, err := meta.Accessor(obj)
if err != nil {
return nil, nil, err
}
return labels.Set(accessor.GetLabels()), objectMetaFieldsSet(accessor, a.namespaceScoped), nil
}
// objectMetaFieldsSet returns a fields that represent the ObjectMeta.
func objectMetaFieldsSet(objectMeta metav1.Object, namespaceScoped bool) fields.Set {
if namespaceScoped {
return fields.Set{
"metadata.name": objectMeta.GetName(),
"metadata.namespace": objectMeta.GetNamespace(),
}
}
return fields.Set{
"metadata.name": objectMeta.GetName(),
}
}
/cc @sttts @p0lyn0mial
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