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Merge pull request #12810 from yujuhong/podcache_proposal
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<!-- BEGIN STRIP_FOR_RELEASE -->
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<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
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<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
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<img src="http://kubernetes.io/img/warning.png" alt="WARNING"
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width="25" height="25">
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<h2>PLEASE NOTE: This document applies to the HEAD of the source tree</h2>
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If you are using a released version of Kubernetes, you should
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refer to the docs that go with that version.
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Documentation for other releases can be found at
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[releases.k8s.io](http://releases.k8s.io).
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</strong>
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--
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# Kubelet: Runtime Pod Cache
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This proposal builds on top of the Pod Lifecycle Event Generator (PLEG) proposed
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in [#12802](https://issues.k8s.io/12802). It assumes that Kubelet subscribes to
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the pod lifecycle event stream to eliminate periodic polling of pod
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states. Please see [#12802](https://issues.k8s.io/12802). for the motivation and
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design concept for PLEG.
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Runtime pod cache is an in-memory cache which stores the *status* of
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all pods, and is maintained by PLEG. It serves as a single source of
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truth for internal pod status, freeing Kubelet from querying the
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container runtime.
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## Motivation
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With PLEG, Kubelet no longer needs to perform comprehensive state
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checking for all pods periodically. It only instructs a pod worker to
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start syncing when there is a change of its pod status. Nevertheless,
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during each sync, a pod worker still needs to construct the pod status
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by examining all containers (whether dead or alive) in the pod, due to
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the lack of the caching of previous states. With the integration of
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pod cache, we can further improve Kubelet's CPU usage by
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1. Lowering the number of concurrent requests to the container
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runtime since pod workers no longer have to query the runtime
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individually.
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2. Lowering the total number of inspect requests because there is no
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need to inspect containers with no state changes.
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***Don't we already have a [container runtime cache]
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(https://github.com/kubernetes/kubernetes/blob/master/pkg/kubelet/container/runtime_cache.go)?***
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The runtime cache is an optimization that reduces the number of `GetPods()`
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calls from the workers. However,
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* The cache does not store all information necessary for a worker to
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complete a sync (e.g., `docker inspect`); workers still need to inspect
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containers individually to generate `api.PodStatus`.
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* Workers sometimes need to bypass the cache in order to retrieve the
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latest pod state.
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This proposal generalizes the cache and instructs PLEG to populate the cache, so
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that the content is always up-to-date.
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**Why can't each worker cache its own pod status?**
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The short answer is yes, they can. The longer answer is that localized
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caching limits the use of the cache content -- other components cannot
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access it. This often leads to caching at multiple places and/or passing
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objects around, complicating the control flow.
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## Runtime Pod Cache
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Pod cache stores the `PodStatus` for all pods on the node. `PodStatus` encompasses
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all the information required from the container runtime to generate
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`api.PodStatus` for a pod.
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```go
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// PodStatus represents the status of the pod and its containers.
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// api.PodStatus can be derived from examining PodStatus and api.Pod.
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type PodStatus struct {
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ID types.UID
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Name string
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Namespace string
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IP string
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ContainerStatuses []*ContainerStatus
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}
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// ContainerStatus represents the status of a container.
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type ContainerStatus struct {
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ID ContainerID
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Name string
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State ContainerState
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CreatedAt time.Time
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StartedAt time.Time
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FinishedAt time.Time
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ExitCode int
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Image string
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ImageID string
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Hash uint64
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RestartCount int
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Reason string
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Message string
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}
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```
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`PodStatus` is defined in the container runtime interface, hence is
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runtime-agnostic.
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PLEG is responsible for updating the entries pod cache, hence always keeping
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the cache up-to-date.
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1. Detect change of container state
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2. Inspect the pod for details
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3. Update the pod cache with the new PodStatus
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- If there is no real change of the pod entry, do nothing
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- Otherwise, generate and send out the corresponding pod lifecycle event
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Note that in (3), PLEG can check if there is any disparity between the old
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and the new pod entry to filter out duplicated events if needed.
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### Evict cache entries
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Note that the cache represents all the pods/containers known by the container
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runtime. A cache entry should only be evicted if the pod is no longer visible
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by the container runtime. PLEG is responsible for deleting entries in the
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cache.
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### Generate `api.PodStatus`
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Because pod cache stores the up-to-date `PodStatus` of the pods, Kubelet can
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generate the `api.PodStatus` by interpreting the cache entry at any
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time. To avoid sending intermediate status (e.g., while a pod worker
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is restarting a container), we will instruct the pod worker to generate a new
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status at the beginning of each sync.
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### Cache contention
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Cache contention should not be a problem when the number of pods is
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small. When Kubelet scales, we can always shard the pods by ID to
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reduce contention.
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### Disk management
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The pod cache is not capable to fulfill the needs of container/image garbage
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collectors as they may demand more than pod-level information. These components
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will still need to query the container runtime directly at times. We may
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consider extending the cache for these use cases, but they are beyond the scope
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of this proposal.
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## Impact on Pod Worker Control Flow
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A pod worker may perform various operations (e.g., start/kill a container)
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during a sync. They will expect to see the results of such operations reflected
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in the cache in the next sync. Alternately, they can bypass the cache and
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query the container runtime directly to get the latest status. However, this
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is not desirable since the cache is introduced exactly to eliminate unnecessary,
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concurrent queries. Therefore, a pod worker should be blocked until all expected
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results have been updated to the cache by PLEG.
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Depending on the type of PLEG (see [#12802](https://issues.k8s.io/12802)) in
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use, the methods to check whether a requirement is met can differ. For a
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PLEG that solely relies on relisting, a pod worker can simply wait until the
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relist timestamp is newer than the end of the worker's last sync. On the other
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hand, if pod worker knows what events to expect, they can also block until the
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events are observed.
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It should be noted that `api.PodStatus` will only be generated by the pod
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worker *after* the cache has been updated. This means that the perceived
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responsiveness of Kubelet (from querying the API server) will be affected by
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how soon the cache can be populated. For the pure-relisting PLEG, the relist
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period can become the bottleneck. On the other hand, A PLEG which watches the
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upstream event stream (and knows how what events to expect) is not restricted
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by such periods and should improve Kubelet's perceived responsiveness.
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## TODOs for v1.2
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- Redefine container runtime types ([#12619](https://issues.k8s.io/12619)):
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and introduce `PodStatus`. Refactor dockertools and rkt to use the new type.
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- Add cache and instruct PLEG to populate it.
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- Refactor Kubelet to use the cache.
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- Deprecate the old runtime cache.
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[]()
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