Project: KEDA (Orchestration & Management / Scheduling & Orchestration)
File: FAQ.md

A: Each controller should only reconcile one object type. Other affected objects should be mapped to a single type of root object, using the `EnqueueRequestForOwner` or `EnqueueRequestsFromMapFunc` event handlers, and potentially indices. Then, your Reconcile method should attempt to reconcile all state for that given root objects. A: You should not. Reconcile functions should be idempotent, and should always reconcile state by reading all the state it needs, then writing updates. This allows your reconciler to correctly respond to generic events, adjust to skipped or coalesced events, and easily deal with application startup. The controller will enqueue reconcile requests for both old and new objects if a mapping changes, but it's your responsibility to make sure you have enough information to be able clean up state that's no longer referenced. A: There are several different approaches that can be taken, depending on your situation. When you can, take advantage of optimistic locking: use deterministic names for objects you create, so that the Kubernetes API server will warn you if the object already exists. Many controllers in Kubernetes take this approach: the StatefulSet controller appends a specific number to each pod that it creates, while the Deployment controller hashes the pod template spec and appends that. In the few cases when you cannot take advantage of deterministic names (e.g. when using generateName), it may be useful in to track which actions you took, and assume that they need to be repeated if they don't occur after a given time (e.g. using a requeue result). This is what the ReplicaSet controller does. In general, write your controller with the assumption that information will eventually be correct, but may be slightly out of date. Make sure that your reconcile function enforces the entire state of the world each time it runs. If none of this works for you, you can always construct a client that reads directly from the API server, but this is generally considered to be a last resort, and the two approaches above should generally cover most circumstances. A: The fake client , but we generally recommend using to test against a real API server. In our experience, tests using fake clients gradually re-implement poorly-written impressions of a real API server, which leads to hard-to-maintain, complex test code. Use the aforementioned to spin up a real API server instead of trying to mock one out. Structure your tests to check that the state of the world is as you expect it, not that a particular set of API calls were made, when working with Kubernetes APIs. This will allow you to more easily refactor and improve the internals of your controllers without changing your tests. Remember that any time you're interacting with the API server, changes may have some delay between write time and reconcile time. A: You're probably missing a fully-set-up Scheme. Schemes record the mapping between Go types and group-version-kinds in Kubernetes. In general, your application should have its own Scheme containing the types from the API groups that it needs (be they Kubernetes types or your own). See the [scheme builder docs](https://pkg.go.dev/sigs.k8s.io/controller-runtime/pkg/scheme) for more information.