注：本次使用的client-go版本為：client-go 11.0，主要參考CSDN上的深入淺出kubernetes之client-go系列，建議看本文前先參考該文件。本文件為CSDN文件的深挖和補充。
本文中的visio圖可以從這裡獲取
下圖為來自官方的Client-go架構圖
圖1.
下圖也可以作為參考
圖2.
Indexer
Indexer提供了對底層儲存的操作，給出了儲存物件以及索引物件的框架。Indexer的介面定義如下，它繼承了Store介面，Store中定義了對物件的增刪改查等方法。
Indexer儲存了來自apiServer的資源，使用listWatch方式來維護資源的增量變化。通過這種方式可以減小對apiServer的訪問，減輕apiServer端的壓力
// client-go/tools/cache/index.go
type Indexer interface { Store // Retrieve list of objects that match on the named indexing function Index(indexName string, obj interface{}) ([]interface{}, error) // IndexKeys returns the set of keys that match on the named indexing function. IndexKeys(indexName, indexKey string) ([]string, error) // ListIndexFuncValues returns the list of generated values of an Index func ListIndexFuncValues(indexName string) []string // ByIndex lists object that match on the named indexing function with the exact key ByIndex(indexName, indexKey string) ([]interface{}, error) // GetIndexer return the indexers GetIndexers() Indexers // AddIndexers adds more indexers to this store. If you call this after you already have data // in the store, the results are undefined. AddIndexers(newIndexers Indexers) error }
// client-go/tools/cache/store.go
type Store interface { Add(obj interface{}) error Update(obj interface{}) error Delete(obj interface{}) error List() []interface{} ListKeys() []string Get(obj interface{}) (item interface{}, exists bool, err error) GetByKey(key string) (item interface{}, exists bool, err error) // Replace will delete the contents of the store, using instead the // given list. Store takes ownership of the list, you should not reference // it after calling this function. Replace([]interface{}, string) error Resync() error }
cache實現了Indexer和Store介面，同時也實現了ThreadSafeStore介面(可以看到ThreadSafeStore基本包含了Indexer介面的所有方法)，但cache是包內私有的(首字母小寫)，只能通過包內封裝的函式進行呼叫。
// client-go/tools/cache/store.go
type cache struct { // cacheStorage bears the burden of thread safety for the cache cacheStorage ThreadSafeStore // keyFunc is used to make the key for objects stored in and retrieved from items, and // should be deterministic. keyFunc KeyFunc }
// client-go/tools/cache/thread_safe_store.go type ThreadSafeStore interface { Add(key string, obj interface{}) Update(key string, obj interface{}) Delete(key string) Get(key string) (item interface{}, exists bool) List() []interface{} ListKeys() []string Replace(map[string]interface{}, string) Index(indexName string, obj interface{}) ([]interface{}, error) IndexKeys(indexName, indexKey string) ([]string, error) ListIndexFuncValues(name string) []string ByIndex(indexName, indexKey string) ([]interface{}, error) GetIndexers() Indexers // AddIndexers adds more indexers to this store. If you call this after you already have data // in the store, the results are undefined. AddIndexers(newIndexers Indexers) error Resync() error }
例如可以通過函式NewStore和NewIndexer初始化cache來返回一個Store或Indexer指標(cache實現了Store和Indexer介面)。NewStore和NewIndexer返回的Store和Indexer介面的資料載體為threadSafeMap，threadSafeMap通過NewThreadSafeStore函式進行初始化。
注：執行go語言介面中的方法即執行該方法的實現。以threadSafeMap為例，在執行cache.Add函式中的“c.cacheStorage.Add(key, obj)”時，實際是在執行”(&threadSafeMap{items:map[string]interface{}{}, indexers: indexers, indices: indices}).Add(key, obj)“
// client-go/tools/cache/store.go func (c *cache) Add(obj interface{}) error { key, err := c.keyFunc(obj) if err != nil { return KeyError{obj, err} } c.cacheStorage.Add(key, obj) return nil }
// client-go/tools/cache/store.go
// NewStore returns a Store implemented simply with a map and a lock. func NewStore(keyFunc KeyFunc) Store { return &cache{ cacheStorage: NewThreadSafeStore(Indexers{}, Indices{}), keyFunc: keyFunc, } } // NewIndexer returns an Indexer implemented simply with a map and a lock. func NewIndexer(keyFunc KeyFunc, indexers Indexers) Indexer { return &cache{ cacheStorage: NewThreadSafeStore(indexers, Indices{}), keyFunc: keyFunc, } }
可以通過下圖理解threadSafeMap中各種索引之間的關係
- indexer實際的物件儲存在threadSafeMap結構中
- indexers劃分了不同的索引型別(indexName，如namespace)，並按照索引型別進行索引(indexFunc，如MetaNamespaceIndexFunc)，得出符合該物件的索引鍵(indexKey，如namespaces)，一個物件在一個索引型別中可能有多個索引鍵。
- indices按照索引型別儲存了索引(index，如包含所有namespaces下面的obj)，進而可以按照索引鍵找出特定的物件鍵(keys，如某個namespace下面的物件鍵)，indices用於快速查詢物件
- items按照物件鍵儲存了實際的物件
預設的indexFunc如下，根據物件的namespace進行分類
// client-go/tools/cache/index.go
func MetaNamespaceIndexFunc(obj interface{}) ([]string, error) { meta, err := meta.Accessor(obj) if err != nil { return []string{""}, fmt.Errorf("object has no meta: %v", err) } return []string{meta.GetNamespace()}, nil }
cache結構中的keyFunc用於生成objectKey，下面是預設的keyFunc。
//client-go/tools/cache/thread_safe_store.go
func MetaNamespaceKeyFunc(obj interface{}) (string, error) { if key, ok := obj.(ExplicitKey); ok { return string(key), nil } meta, err := meta.Accessor(obj) if err != nil { return "", fmt.Errorf("object has no meta: %v", err) } if len(meta.GetNamespace()) > 0 { return meta.GetNamespace() + "/" + meta.GetName(), nil } return meta.GetName(), nil }
DeltaFIFO
DeltaFIFO的原始碼註釋寫的比較清楚，它是一個生產者-消費者佇列，生產者為Reflector，消費者為Pop()函式，從架構圖中可以看出DeltaFIFO的資料來源為Reflector，通過Pop操作消費資料，將資料儲存到localstore中。需要注意的是，Pop的單位是一個Deltas，而不是Delta。
DeltaFIFO同時實現了Queue和Store介面。DeltaFIFO使用Deltas儲存了物件狀態的變更(Add/Delete/Update)資訊(如Pod的刪除新增等)，Deltas快取了針對相同物件的多個狀態變更資訊。最老的狀態變更資訊為Newest()，最新的狀態變更資訊為Oldest()，使用中獲取DeltaFIFO中物件的key以及獲取DeltaFIFO都以最新狀態為準。
//client-go/tools/cache/delta_fifo.go type Delta struct { Type DeltaType Object interface{} } // Deltas is a list of one or more 'Delta's to an individual object. // The oldest delta is at index 0, the newest delta is the last one. type Deltas []Delta
DeltaFIFO結構中比較難以理解的是knownObjects，它的結構如下。其介面中的方法ListKeys和GetByKey也是Store介面中的方法，因此knownObjects能夠被賦值為實現了Store的型別指標；同樣地，由於Indexer繼承了Store方法，因此knownObjects能夠被賦值為實現了Indexer的型別指標。
//client-go/tools/cache/delta_fifo.go type DeltaFIFO struct { // lock/cond protects access to 'items' and 'queue'. lock sync.RWMutex cond sync.Cond // We depend on the property that items in the set are in // the queue and vice versa, and that all Deltas in this // map have at least one Delta. items map[string]Deltas queue []string // populated is true if the first batch of items inserted by Replace() has been populated // or Delete/Add/Update was called first. populated bool // initialPopulationCount is the number of items inserted by the first call of Replace() initialPopulationCount int // keyFunc is used to make the key used for queued item // insertion and retrieval, and should be deterministic. keyFunc KeyFunc // knownObjects list keys that are "known", for the // purpose of figuring out which items have been deleted // when Replace() or Delete() is called. knownObjects KeyListerGetter // Indication the queue is closed. // Used to indicate a queue is closed so a control loop can exit when a queue is empty. // Currently, not used to gate any of CRED operations. closed bool closedLock sync.Mutex }
// A KeyListerGetter is anything that knows how to list its keys and look up by key.
type KeyListerGetter interface {
KeyLister
KeyGetter
}
// A KeyLister is anything that knows how to list its keys.
type KeyLister interface {
ListKeys() []string
}
// A KeyGetter is anything that knows how to get the value stored under a given key.
type KeyGetter interface {
GetByKey(key string) (interface{}, bool, error)
}
在NewSharedIndexInformer(client-go/tools/cache/shared_informer.go)函式中使用下面進行初始化一個sharedIndexInformer，即使用函式DeletionHandlingMetaNamespaceKeyFunc初始化indexer，並在sharedIndexInformer.Run中將該indexer作為knownObjects入參，最終初始化為一個DeltaFIFO。
NewIndexer(DeletionHandlingMetaNamespaceKeyFunc, indexers) //NewDeltaFIFO
fifo := NewDeltaFIFO(MetaNamespaceKeyFunc, s.indexer) //sharedIndexInformer.Run
DeltaFIFO實現了Queue介面。可以看到Queue介面同時也(Indexer繼承了Store)繼承了Store介面。
//client-go/tools/cache/delta_fifo.go type Queue interface { Store // Pop blocks until it has something to process. // It returns the object that was process and the result of processing. // The PopProcessFunc may return an ErrRequeue{...} to indicate the item // should be requeued before releasing the lock on the queue. Pop(PopProcessFunc) (interface{}, error) // AddIfNotPresent adds a value previously // returned by Pop back into the queue as long // as nothing else (presumably more recent) // has since been added. AddIfNotPresent(interface{}) error // HasSynced returns true if the first batch of items has been popped HasSynced() bool // Close queue Close() }
knownObjects實際使用時為Indexer，它對應圖2中的localStore，DeltaFIFO根據其儲存的物件狀態變更訊息處理(增/刪/改/同步)knownObjects中相應的物件。其中同步(Sync)操作對Detals中即將被刪除的物件是沒有意義的(參見willObjectBeDeletedLocked函式)。
Replace(client-go/tools/cache/delta_fifo.go)函式中會對DeltaFIFO進行全量更新，包括3個步驟：
- Sync所有的輸入物件；
- 如果knownObjects為空，則刪除原有DeltaFIFO中不存在於輸入物件的物件；
- 如果knownObjects非空，則刪除knownObjects中不存在於輸入物件的物件；
由於全量更新的最終目的是為了更新knownObjects中的物件，故第三步中直接使用knownObjects而非DeltaFIFO進行比對刪除。
ListWatch
Lister用於獲取某個資源(如Pod)的全量，Watcher用於獲取某個資源的增量變化。實際使用中Lister和Watcher都從apiServer獲取資源資訊，Lister一般用於首次獲取某資源的全量資訊，而Watcher用於持續獲取該資源的增量變化資訊。Lister和Watcher的介面定義如下，使用NewListWatchFromClient函式來初始化ListerWatcher
// client-go/tools/cache/listwatch.go type Lister interface { // List should return a list type object; the Items field will be extracted, and the // ResourceVersion field will be used to start the watch in the right place. List(options metav1.ListOptions) (runtime.Object, error) } // Watcher is any object that knows how to start a watch on a resource. type Watcher interface { // Watch should begin a watch at the specified version. Watch(options metav1.ListOptions) (watch.Interface, error) } // ListerWatcher is any object that knows how to perform an initial list and start a watch on a resource. type ListerWatcher interface { Lister Watcher }
在workqueue的例子中可以看到呼叫NewListWatchFromClient的地方，該例子會從clientset.CoreV1().RESTClient()獲取"pods"的相關資訊。
// client-go/examples/workqueue/main.go // create the pod watcher podListWatcher := cache.NewListWatchFromClient(clientset.CoreV1().RESTClient(), "pods", v1.NamespaceDefault, fields.Everything())
除了可以從CoreV1版本的API group獲取RESTClient資訊外，還可以從下面Clientset結構體定義的API group中獲取資訊
// client-go/kubernetes/clientset.go type Clientset struct { *discovery.DiscoveryClient admissionregistrationV1beta1 *admissionregistrationv1beta1.AdmissionregistrationV1beta1Client appsV1 *appsv1.AppsV1Client appsV1beta1 *appsv1beta1.AppsV1beta1Client appsV1beta2 *appsv1beta2.AppsV1beta2Client auditregistrationV1alpha1 *auditregistrationv1alpha1.AuditregistrationV1alpha1Client authenticationV1 *authenticationv1.AuthenticationV1Client authenticationV1beta1 *authenticationv1beta1.AuthenticationV1beta1Client authorizationV1 *authorizationv1.AuthorizationV1Client authorizationV1beta1 *authorizationv1beta1.AuthorizationV1beta1Client autoscalingV1 *autoscalingv1.AutoscalingV1Client autoscalingV2beta1 *autoscalingv2beta1.AutoscalingV2beta1Client autoscalingV2beta2 *autoscalingv2beta2.AutoscalingV2beta2Client batchV1 *batchv1.BatchV1Client batchV1beta1 *batchv1beta1.BatchV1beta1Client batchV2alpha1 *batchv2alpha1.BatchV2alpha1Client certificatesV1beta1 *certificatesv1beta1.CertificatesV1beta1Client coordinationV1beta1 *coordinationv1beta1.CoordinationV1beta1Client coordinationV1 *coordinationv1.CoordinationV1Client coreV1 *corev1.CoreV1Client eventsV1beta1 *eventsv1beta1.EventsV1beta1Client extensionsV1beta1 *extensionsv1beta1.ExtensionsV1beta1Client networkingV1 *networkingv1.NetworkingV1Client networkingV1beta1 *networkingv1beta1.NetworkingV1beta1Client nodeV1alpha1 *nodev1alpha1.NodeV1alpha1Client nodeV1beta1 *nodev1beta1.NodeV1beta1Client policyV1beta1 *policyv1beta1.PolicyV1beta1Client rbacV1 *rbacv1.RbacV1Client rbacV1beta1 *rbacv1beta1.RbacV1beta1Client rbacV1alpha1 *rbacv1alpha1.RbacV1alpha1Client schedulingV1alpha1 *schedulingv1alpha1.SchedulingV1alpha1Client schedulingV1beta1 *schedulingv1beta1.SchedulingV1beta1Client schedulingV1 *schedulingv1.SchedulingV1Client settingsV1alpha1 *settingsv1alpha1.SettingsV1alpha1Client storageV1beta1 *storagev1beta1.StorageV1beta1Client storageV1 *storagev1.StorageV1Client storageV1alpha1 *storagev1alpha1.StorageV1alpha1Client }
RESTClient()的返回值為Interface介面型別，該型別中包含如下對資源的操作方法，如Get()就封裝了HTTP的Get方法。NewListWatchFromClient初始化ListWatch的時候使用了Get方法
// client-go/rest/client.go type Interface interface { GetRateLimiter() flowcontrol.RateLimiter Verb(verb string) *Request Post() *Request Put() *Request Patch(pt types.PatchType) *Request Get() *Request Delete() *Request APIVersion() schema.GroupVersion }
Reflector
reflector使用listerWatcher獲取資源，並將其儲存在store中，此處的store就是DeltaFIFO，Reflector核心處理函式為ListAndWatch(client-go/tools/cache/reflector.go)
// client-go/tools/cache/reflector.go type Reflector struct { // name identifies this reflector. By default it will be a file:line if possible. name string // metrics tracks basic metric information about the reflector metrics *reflectorMetrics // The type of object we expect to place in the store. expectedType reflect.Type // The destination to sync up with the watch source store Store // listerWatcher is used to perform lists and watches. listerWatcher ListerWatcher // period controls timing between one watch ending and // the beginning of the next one. period time.Duration resyncPeriod time.Duration ShouldResync func() bool // clock allows tests to manipulate time clock clock.Clock // lastSyncResourceVersion is the resource version token last // observed when doing a sync with the underlying store // it is thread safe, but not synchronized with the underlying store lastSyncResourceVersion string // lastSyncResourceVersionMutex guards read/write access to lastSyncResourceVersion lastSyncResourceVersionMutex sync.RWMutex // WatchListPageSize is the requested chunk size of initial and resync watch lists. // Defaults to pager.PageSize. WatchListPageSize int64 }
ListAndWatch在Reflector.Run函式中啟動，並以Reflector.period週期性進行排程。ListAndWatch使用resourceVersion來獲取資源的增量變化：在List時會獲取資源的首個resourceVersion值，在Watch的時候會使用List獲取的resourceVersion來獲取資源的增量變化，然後將獲取到的資源的resourceVersion儲存起來，最後下一次Watch的基線。
// client-go/tools/cache/reflector.go func (r *Reflector) Run(stopCh <-chan struct{}) { klog.V(3).Infof("Starting reflector %v (%s) from %s", r.expectedType, r.resyncPeriod, r.name) wait.Until(func() { if err := r.ListAndWatch(stopCh); err != nil { utilruntime.HandleError(err) } }, r.period, stopCh) }
如可以使用如下命令獲取Pod的resourceVersion
# oc get pod $PodName -oyaml|grep resourceVersion: resourceVersion: "4993804"
Controller
controller的結構如下，其包含一個配置變數config，在註釋中可以看到Config.Queue就是DeltaFIFO。controller定義瞭如何排程Reflector。
// client-go/tools/cache/controller.go type controller struct { config Config reflector *Reflector reflectorMutex sync.RWMutex clock clock.Clock }
// client-go/tools/cache/controller.go type Config struct { // The queue for your objects - has to be a DeltaFIFO due to // assumptions in the implementation. Your Process() function // should accept the output of this Queue's Pop() method. Queue // Something that can list and watch your objects. ListerWatcher // Something that can process your objects. Process ProcessFunc // The type of your objects. ObjectType runtime.Object // Reprocess everything at least this often. // Note that if it takes longer for you to clear the queue than this // period, you will end up processing items in the order determined // by FIFO.Replace(). Currently, this is random. If this is a // problem, we can change that replacement policy to append new // things to the end of the queue instead of replacing the entire // queue. FullResyncPeriod time.Duration // ShouldResync, if specified, is invoked when the controller's reflector determines the next // periodic sync should occur. If this returns true, it means the reflector should proceed with // the resync. ShouldResync ShouldResyncFunc // If true, when Process() returns an error, re-enqueue the object. // TODO: add interface to let you inject a delay/backoff or drop // the object completely if desired. Pass the object in // question to this interface as a parameter. RetryOnError bool }
controller的框架比較簡單它使用wg.StartWithChannel啟動Reflector.Run，相當於啟動了一個DeltaFIFO的生產者(wg.StartWithChannel(stopCh, r.Run)表示可以將r.Run放在獨立的協程執行，並可以使用stopCh來停止r.Run)；使用wait.Until來啟動一個消費者(wait.Until(c.processLoop, time.Second, stopCh)表示每秒會觸發一次c.processLoop，但如果c.processLoop在1秒之內沒有結束，則執行c.processLoop繼續執行，不會結束其執行狀態)
// client-go/tools/cache/controller.go func (c *controller) Run(stopCh <-chan struct{}) { defer utilruntime.HandleCrash() go func() { <-stopCh c.config.Queue.Close() }() r := NewReflector( c.config.ListerWatcher, c.config.ObjectType, c.config.Queue, c.config.FullResyncPeriod, ) r.ShouldResync = c.config.ShouldResync r.clock = c.clock c.reflectorMutex.Lock() c.reflector = r c.reflectorMutex.Unlock() var wg wait.Group defer wg.Wait() wg.StartWithChannel(stopCh, r.Run) wait.Until(c.processLoop, time.Second, stopCh) }
processLoop的框架也很簡單，它執行了DeltaFIFO.Pop函式，用於消費DeltaFIFO中的物件，並在DeltaFIFO.Pop執行失敗後可能重新處理該物件(AddIfNotPresent)
注：c.config.RetryOnError在目前版本中初始化為False
// client-go/tools/cache/controller.go func (c *controller) processLoop() { for { obj, err := c.config.Queue.Pop(PopProcessFunc(c.config.Process)) if err != nil { if err == FIFOClosedError { return } if c.config.RetryOnError { // This is the safe way to re-enqueue. c.config.Queue.AddIfNotPresent(obj) } } } }
//client-go/tools/cache/shared_informer.go
func (s *sharedIndexInformer) Run(stopCh <-chan struct{}) {
defer utilruntime.HandleCrash()
fifo := NewDeltaFIFO(MetaNamespaceKeyFunc, s.indexer)
cfg := &Config{
Queue: fifo,
ListerWatcher: s.listerWatcher,
ObjectType: s.objectType,
FullResyncPeriod: s.resyncCheckPeriod,
RetryOnError: false,
ShouldResync: s.processor.shouldResync,
Process: s.HandleDeltas,
}
...
ShareInformer
下圖為SharedInformer的執行圖。可以看出SharedInformer啟動了controller，reflector，並將其與Indexer結合起來。
注：不同顏色表示不同的chan，相同顏色表示在同一個chan中的處理
SharedInformer.Run啟動了兩個chan，s.c.Run為controller的入口，s.c.Run函式中會Pop DeltaFIFO中的元素，並根據DeltaFIFO的元素的型別(Sync/Added/Updated/Deleted)進兩類處理，一類會使用indexer.Update,indexer,Add,indexer.Delete對儲存的在Store中的資料進行處理；另一類會根據DeltaFIFO的元素的型別將其封裝為sharedInformer內部型別updateNotification，addNotification，deleteNotification，傳遞給s.processor.Listeners.addCh，後續給註冊的pl.handler處理。
s.processor.run主要用於處理註冊的handler，processorListener.run函式接受processorListener.nextCh中的值，將其作為引數傳遞給handler進行處理。而processorListener.pop負責將processorListener.addCh中的元素快取到p.pendingNotifications，並讀取p.pendingNotifications中的元素，將其傳遞到processorListener.nextCh。即processorListener.pop負責管理資料，processorListener.run負責使用processorListener.pop管理的資料進行處理。
// client-go/tools/cache/controller.go type ResourceEventHandler interface { OnAdd(obj interface{}) OnUpdate(oldObj, newObj interface{}) OnDelete(obj interface{}) }
sharedIndexInformer有3個狀態：啟動前，啟動後，停止後，由started, stopped兩個bool值表示。
stopped=true表示inforer不再運作且不能新增新的handler(因為即使新增了也不會執行)
informer啟動前和停止後允許新增新的indexer(sharedIndexInformer.AddIndexers)，但不能在informer執行時新增，因為此時需要通過watchlist以及handler等一系列處理來操作sharedIndexInformer.inxder。如果允許同時使用sharedIndexInformer.AddIndexers，可能會造成資料不一致。
還有一個狀態sharedProcessor.listenersStarted，用於表示是否所有的s.processor.Listeners都已經啟動，如果已經啟動，則在新增新的processorListener時，需要執行新新增的processorListener，否則僅僅新增即可(新增後同樣會被sharedProcessor.run排程)
// client-go/tools/cache/shared_informer.go type sharedIndexInformer struct { indexer Indexer controller Controller processor *sharedProcessor cacheMutationDetector CacheMutationDetector // This block is tracked to handle late initialization of the controller listerWatcher ListerWatcher objectType runtime.Object // resyncCheckPeriod is how often we want the reflector's resync timer to fire so it can call // shouldResync to check if any of our listeners need a resync. resyncCheckPeriod time.Duration // defaultEventHandlerResyncPeriod is the default resync period for any handlers added via // AddEventHandler (i.e. they don't specify one and just want to use the shared informer's default // value). defaultEventHandlerResyncPeriod time.Duration // clock allows for testability clock clock.Clock started, stopped bool startedLock sync.Mutex // blockDeltas gives a way to stop all event distribution so that a late event handler // can safely join the shared informer. blockDeltas sync.Mutex }
SharedInformerFactory
sharedInformerFactory介面的內容如下，它按照group和version對informer進行了分類。
// client-go/informers/factory.go type SharedInformerFactory interface { internalinterfaces.SharedInformerFactory ForResource(resource schema.GroupVersionResource) (GenericInformer, error) WaitForCacheSync(stopCh <-chan struct{}) map[reflect.Type]bool Admissionregistration() admissionregistration.Interface Apps() apps.Interface Auditregistration() auditregistration.Interface Autoscaling() autoscaling.Interface Batch() batch.Interface Certificates() certificates.Interface Coordination() coordination.Interface Core() core.Interface Events() events.Interface Extensions() extensions.Interface Networking() networking.Interface Node() node.Interface Policy() policy.Interface Rbac() rbac.Interface Scheduling() scheduling.Interface Settings() settings.Interface Storage() storage.Interface }
注：下圖來自https://blog.csdn.net/weixin_42663840/article/details/81980022
sharedInformerFactory負責在不同的chan中啟動不同的informer(或shared_informer)
// client-go/informers/factory.go func (f *sharedInformerFactory) Start(stopCh <-chan struct{}) { f.lock.Lock() defer f.lock.Unlock() for informerType, informer := range f.informers { if !f.startedInformers[informerType] { go informer.Run(stopCh) f.startedInformers[informerType] = true } } }
那sharedInformerFactory啟動的informer又是怎麼註冊到sharedInformerFactory.informers中的呢？informer的註冊函式統一為InformerFor，程式碼如下，所有型別的informer都會呼叫該函式註冊到sharedInformerFactory
// client-go/informers/factory.go
func (f *sharedInformerFactory) InformerFor(obj runtime.Object, newFunc internalinterfaces.NewInformerFunc) cache.SharedIndexInformer { f.lock.Lock() defer f.lock.Unlock() informerType := reflect.TypeOf(obj) informer, exists := f.informers[informerType] if exists { return informer } resyncPeriod, exists := f.customResync[informerType] if !exists { resyncPeriod = f.defaultResync } informer = newFunc(f.client, resyncPeriod) f.informers[informerType] = informer return informer }
下面以(Core，v1，podInformer)為例結合client-go中提供的程式碼進行講解。程式碼如下，在呼叫informers.Core().V1().Pods().Informer()的時候會同時呼叫informers.InformerFor註冊到sharedInformerFactory，後續直接呼叫informers.Start啟動註冊的informer。
// client-go/examples/fake-client/main_test.go func TestFakeClient(t *testing.T) { ctx, cancel := context.WithCancel(context.Background()) defer cancel() // Create the fake client. client := fake.NewSimpleClientset() // We will create an informer that writes added pods to a channel. pods := make(chan *v1.Pod, 1) informers := informers.NewSharedInformerFactory(client, 0) //建立一個新的shareInformerFactory podInformer := informers.Core().V1().Pods().Informer() //建立一個podInformer，並呼叫InformerFor函式進行註冊 podInformer.AddEventHandler(&cache.ResourceEventHandlerFuncs{ AddFunc: func(obj interface{}) { pod := obj.(*v1.Pod) t.Logf("pod added: %s/%s", pod.Namespace, pod.Name) pods <- pod }, }) // Make sure informers are running. informers.Start(ctx.Done()) //啟動所有的informer
...
workqueue
indexer用於儲存apiserver的資源資訊，而workqueue用於儲存informer中的handler處理之後的資料。workqueue的介面定義如下：
// client-go/util/workqueue/queue.go type Interface interface { Add(item interface{}) Len() int Get() (item interface{}, shutdown bool) Done(item interface{}) ShutDown() ShuttingDown() bool }
參見上圖可以看到真正處理的元素來自queue，dirty和queue中的元素可能不一致，不一致點來自於當Get一個元素後且Done執行前，此時Get操作會刪除dirty中的該元素，如果此時發生了Add正在處理的元素的操作，由於此時dirty中沒有該元素且processing中存在該元素，會發生dirty中的元素大於queue中元素的情況。但對某一元素的不一致會在Done完成後消除，即Done函式中會判斷該元素是否在dirty中，如果存在則會將該元素append到queue中。總之，dirty中的資料都會被append到queue中，後續queue中的資料會insert到processing中進行處理()
dType實現了Interface介面。包含下面幾個變數：
- queue：使用陣列順序儲存了待處理的元素
- dirty：使用雜湊表儲存了需要處理的元素，它包含了queue中的所有元素，用於快速查詢元素，dirty中可能包含queue中不存在的元素
- processing：使用雜湊表儲存了正在處理的元素，它不包含queue中的元素，但可能包含dirty中的元素
// client-go/util/workqueue/queue.go // Type is a work queue (see the package comment). type Type struct { // queue defines the order in which we will work on items. Every // element of queue should be in the dirty set and not in the // processing set. queue []t // dirty defines all of the items that need to be processed. dirty set // Things that are currently being processed are in the processing set. // These things may be simultaneously in the dirty set. When we finish // processing something and remove it from this set, we'll check if // it's in the dirty set, and if so, add it to the queue. processing set cond *sync.Cond shuttingDown bool metrics queueMetrics unfinishedWorkUpdatePeriod time.Duration clock clock.Clock }
workqueue的使用例子可以參見client-go/util/workqueue/queue_test.go
延時佇列
延時佇列介面繼承了queue的Interface介面，僅新增了一個AddAfter方法，它用於在duration時間之後將元素新增到queue中。
// client-go/util/workqueue/delaying_queue.go type DelayingInterface interface { Interface // AddAfter adds an item to the workqueue after the indicated duration has passed AddAfter(item interface{}, duration time.Duration) }
delayingType實現了DelayingInterface介面使用waitingForAddCh來傳遞需要新增到queue的元素，
// client-go/util/workqueue/delaying_queue.go type delayingType struct { Interface // clock tracks time for delayed firing clock clock.Clock // stopCh lets us signal a shutdown to the waiting loop stopCh chan struct{} // stopOnce guarantees we only signal shutdown a single time stopOnce sync.Once // heartbeat ensures we wait no more than maxWait before firing heartbeat clock.Ticker // waitingForAddCh is a buffered channel that feeds waitingForAdd waitingForAddCh chan *waitFor // metrics counts the number of retries metrics retryMetrics deprecatedMetrics retryMetrics }
delayingType.waitingForAddCh中的元素如果沒有超過延時時間會新增到waitForPriorityQueue中，否則直接加入queue中。
// client-go/util/workqueue/delaying_queue.go
type waitForPriorityQueue []*waitFor
延時佇列實現邏輯比較簡單，需要注意的是waitingForQueue是以heap方式實現的佇列，佇列的pop和push等操作使用的是heap.pop和heap.push
限速佇列
限速佇列實現了3個介面，When用於返回元素的重試時間，Forget用於清除元素的重試記錄，NumRequeues返回元素的重試次數
//client-go/util/workqueue/default_rate_limiter.go type RateLimiter interface { // When gets an item and gets to decide how long that item should wait When(item interface{}) time.Duration // Forget indicates that an item is finished being retried. Doesn't matter whether its for perm failing // or for success, we'll stop tracking it Forget(item interface{}) // NumRequeues returns back how many failures the item has had NumRequeues(item interface{}) int }
ItemExponentialFailureRateLimiter對使用指數退避的方式進行失敗重試，當failures增加時，下次重試的時間就變為了baseDelay.Nanoseconds()) * math.Pow(2, float64(exp)，maxDelay用於限制重試時間的最大值，當計算的重試時間超過maxDelay時則採用maxDelay
// client-go/util/workqueue/default_rate_limiters.go type ItemExponentialFailureRateLimiter struct { failuresLock sync.Mutex failures map[interface{}]int baseDelay time.Duration maxDelay time.Duration }
ItemFastSlowRateLimiter針對失敗次數採用不同的重試時間。當重試次數小於maxFastAttempts時，重試時間為fastDelay，否則我為slowDelay。
// client-go/util/workqueue/default_rate_limiters.go type ItemFastSlowRateLimiter struct { failuresLock sync.Mutex failures map[interface{}]int maxFastAttempts int fastDelay time.Duration slowDelay time.Duration }
MaxOfRateLimiter為一個限速佇列列表，它的實現中返回列表中重試時間最長的限速佇列的值。
// client-go/util/workqueue/default_rate_limiters.go type MaxOfRateLimiter struct { limiters []RateLimiter }
func (r *MaxOfRateLimiter) When(item interface{}) time.Duration { ret := time.Duration(0) for _, limiter := range r.limiters { curr := limiter.When(item) if curr > ret { ret = curr } } return ret }
BucketRateLimiter
使用令牌桶實現一個固定速率的限速器
// client-go/util/workqueue/default_rate_limiters.go type BucketRateLimiter struct { *rate.Limiter }
限速佇列的呼叫
所有的限速佇列實際上就是根據不同的需求，最終提供一個延時時間，在延時時間到後通過AddAfter函式將元素新增新增到佇列中。在queue.go中給出了workqueue的基本框架，delaying_queue.go擴充套件了workqueue的功能，提供了限速的功能，而default_rate_limiters.go提供了多種限速佇列，用於給delaying_queue.go中的AddAfter提供延時引數，最後rate_limiting_queue.go給出了使用使用限速佇列的入口。
RateLimitingInterface為限速佇列入口，AddRateLimited
// client-g0/util/workqueue/rate_limiting_queue.go type RateLimitingInterface interface { DelayingInterface // AddRateLimited adds an item to the workqueue after the rate limiter says it's ok AddRateLimited(item interface{}) // Forget indicates that an item is finished being retried. Doesn't matter whether it's for perm failing // or for success, we'll stop the rate limiter from tracking it. This only clears the `rateLimiter`, you // still have to call `Done` on the queue. Forget(item interface{}) // NumRequeues returns back how many times the item was requeued NumRequeues(item interface{}) int }
rateLimitingType實現了RateLimitingInterface介面，第二個引數就時限速佇列介面。
// client-g0/util/workqueue/rate_limiting_queue.go type rateLimitingType struct { DelayingInterface rateLimiter RateLimiter }
下面是限速佇列的使用：
- 使用NewItemExponentialFailureRateLimiter初始化一個限速器
- 使用NewRateLimitingQueue新建一個限速佇列，並使用上一步的限速器進行初始化
- 後續就可以使用AddRateLimited新增元素
// client-go/util/workqueue/rate_limiting_queue_test.go func TestRateLimitingQueue(t *testing.T) { limiter := NewItemExponentialFailureRateLimiter(1*time.Millisecond, 1*time.Second) queue := NewRateLimitingQueue(limiter).(*rateLimitingType) fakeClock := clock.NewFakeClock(time.Now()) delayingQueue := &delayingType{ Interface: New(), clock: fakeClock, heartbeat: fakeClock.NewTicker(maxWait), stopCh: make(chan struct{}), waitingForAddCh: make(chan *waitFor, 1000), metrics: newRetryMetrics(""), deprecatedMetrics: newDeprecatedRetryMetrics(""), } queue.DelayingInterface = delayingQueue queue.AddRateLimited("one") waitEntry := <-delayingQueue.waitingForAddCh if e, a := 1*time.Millisecond, waitEntry.readyAt.Sub(fakeClock.Now()); e != a { t.Errorf("expected %v, got %v", e, a) } queue.Forget("one") if e, a := 0, queue.NumRequeues("one"); e != a { t.Errorf("expected %v, got %v", e, a) } }
PS：後續會使用client-go編寫簡單程式
TIPS：
- 使用Client-go編寫程式時，需要注意client-go的版本需要與對接的kubernetes相匹配，對應關係參見github
參考:
https://rancher.com/using-kubernetes-api-go-kubecon-2017-session-recap/
https://kubernetes.io/docs/tasks/access-kubernetes-api/custom-resources/custom-resource-definitions/
https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/