Istio Pilot源码学习(二):ServiceController服务发现

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本文基于Istio 1.18.0版本进行源码学习

4、服务发现:ServiceController

ServiceController是服务发现的核心模块,主要功能是监听底层平台的服务注册中心,将平台服务模型转换成Istio服务模型并缓存;同时根据服务的变化,触发相关服务的事件处理回调函数的执行

1)、ServiceController的核心接口

ServiceController可以同时支持多个服务注册中心,因为它包含不同的注册中心控制器,它们的聚合是通过抽象聚合接口(aggregate.Controller)完成的,该接口相关定义如下:

// pilot/pkg/serviceregistry/aggregate/controller.go
// 聚合所有底层注册中心的数据,并监控数据的变化
type Controller struct {
	// meshConfig
	meshHolder mesh.Holder

	// The lock is used to protect the registries and controller's running status.
	storeLock sync.RWMutex
	// 注册中心的集合
	registries []*registryEntry
	// indicates whether the controller has run.
	// if true, all the registries added later should be run manually.
	running bool

	// 控制器回调函数的集合,当添加了某一注册中心时,控制器会向其注册回调函数
	handlers model.ControllerHandlers
	// 按照集群区分的回调函数
	handlersByCluster map[cluster.ID]*model.ControllerHandlers
	model.NetworkGatewaysHandler
}

type registryEntry struct {
	serviceregistry.Instance
	// stop if not nil is the per-registry stop chan. If null, the server stop chan should be used to Run the registry.
	stop <-chan struct{}
}
// pilot/pkg/serviceregistry/instance.go
// 注册中心接口
type Instance interface {
	// 控制器接口
	model.Controller
	// 服务发现接口
	model.ServiceDiscovery

	// Provider backing this service registry (i.e. Kubernetes etc.)
	Provider() provider.ID

	// Cluster for which the service registry applies. Only needed for multicluster systems.
	Cluster() cluster.ID
}

注册中心接口Instance实现了Istio通用的控制器接口Controller及服务发现接口ServiceDiscovery,接口定义如下:

// pilot/pkg/model/controller.go
// 控制器接口,用于注册事件处理回调函数
// 注册中心控制器会接收资源更新事件,并执行相应的事件处理回调函数
type Controller interface {
	// Note: AppendXXXHandler is used to register high level handlers.
	// For per cluster handlers, they should be registered by the `AppendXXXHandlerForCluster` interface.

	// AppendServiceHandler notifies about changes to the service catalog.
	// 注册服务的事件处理回调函数
	AppendServiceHandler(f ServiceHandler)

	// AppendWorkloadHandler notifies about changes to workloads. This differs from InstanceHandler,
	// which deals with service instances (the result of a merge of Service and Workload)
	// 注册服务实例的事件处理回调函数,主要是为了支持kubernetes service和istio serviceEntry交叉选择服务实例
	AppendWorkloadHandler(f func(*WorkloadInstance, Event))

	// Run until a signal is received
	// 运行控制器
	Run(stop <-chan struct{})

	// HasSynced returns true after initial cache synchronization is complete
	// 同步检查控制器的缓存
	HasSynced() bool
}
// pilot/pkg/model/service.go
// 服务发现接口提供对服务模型的查询功能
type ServiceDiscovery interface {
	NetworkGatewaysWatcher

	// Services list declarations of all services in the system
	// 查询网格中的所有服务
	Services() []*Service

	// GetService retrieves a service by host name if it exists
	// 根据hostname查询服务
	GetService(hostname host.Name) *Service

	// InstancesByPort retrieves instances for a service on the given ports with labels that match
	// any of the supplied labels. All instances match an empty tag list.
	//
	// For example, consider an example of catalog.mystore.com:
	// Instances(catalog.myservice.com, 80) ->
	//      --> IstioEndpoint(172.16.0.1:8888), Service(catalog.myservice.com), Labels(foo=bar)
	//      --> IstioEndpoint(172.16.0.2:8888), Service(catalog.myservice.com), Labels(foo=bar)
	//      --> IstioEndpoint(172.16.0.3:8888), Service(catalog.myservice.com), Labels(kitty=cat)
	//      --> IstioEndpoint(172.16.0.4:8888), Service(catalog.myservice.com), Labels(kitty=cat)
	//
	// Calling Instances with specific labels returns a trimmed list.
	// e.g., Instances(catalog.myservice.com, 80, foo=bar) ->
	//      --> IstioEndpoint(172.16.0.1:8888), Service(catalog.myservice.com), Labels(foo=bar)
	//      --> IstioEndpoint(172.16.0.2:8888), Service(catalog.myservice.com), Labels(foo=bar)
	//
	// Similar concepts apply for calling this function with a specific
	// port, hostname and labels.
	//
	// Introduced in Istio 0.8. It is only called with 1 port.
	// CDS (clusters.go) calls it for building 'dnslb' type clusters.
	// EDS calls it for building the endpoints result.
	// Consult istio-dev before using this for anything else (except debugging/tools)
	// 根据服务及端口获取服务实例
	InstancesByPort(svc *Service, servicePort int) []*ServiceInstance

	// GetProxyServiceInstances returns the service instances that co-located with a given Proxy
	//
	// Co-located generally means running in the same network namespace and security context.
	//
	// A Proxy operating as a Sidecar will return a non-empty slice.  A stand-alone Proxy
	// will return an empty slice.
	//
	// There are two reasons why this returns multiple ServiceInstances instead of one:
	// - A ServiceInstance has a single IstioEndpoint which has a single Port.  But a Service
	//   may have many ports.  So a workload implementing such a Service would need
	//   multiple ServiceInstances, one for each port.
	// - A single workload may implement multiple logical Services.
	//
	// In the second case, multiple services may be implemented by the same physical port number,
	// though with a different ServicePort and IstioEndpoint for each.  If any of these overlapping
	// services are not HTTP or H2-based, behavior is undefined, since the listener may not be able to
	// determine the intended destination of a connection without a Host header on the request.
	// 获取与sidecar代理相关的服务实例
	GetProxyServiceInstances(*Proxy) []*ServiceInstance
	// 获取proxy工作负载的标签
	GetProxyWorkloadLabels(*Proxy) labels.Instance

	// MCSServices returns information about the services that have been exported/imported via the
	// Kubernetes Multi-Cluster Services (MCS) ServiceExport API. Only applies to services in
	// Kubernetes clusters.
	MCSServices() []MCSServiceInfo
	AmbientIndexes
}
2)、ServiceController的初始化

Kubernetes ServiceController初始化流程如下:

Istio Pilot源码学习(二):ServiceController服务发现,Istio,istio

核心方法是pilot/pkg/serviceregistry/kube/controller/controller.go中的NewController()方法,代码如下:

// pilot/pkg/serviceregistry/kube/controller/controller.go
func NewController(kubeClient kubelib.Client, options Options) *Controller {
	// 实例化kubernetes注册中心的控制器
	c := &Controller{
		opts:                       options,
		client:                     kubeClient,
		queue:                      queue.NewQueueWithID(1*time.Second, string(options.ClusterID)),
		servicesMap:                make(map[host.Name]*model.Service),
		nodeSelectorsForServices:   make(map[host.Name]labels.Instance),
		nodeInfoMap:                make(map[string]kubernetesNode),
		externalNameSvcInstanceMap: make(map[host.Name][]*model.ServiceInstance),
		workloadInstancesIndex:     workloadinstances.NewIndex(),
		initialSyncTimedout:        atomic.NewBool(false),
		networkManager:             initNetworkManager(options),
		configCluster:              options.ConfigCluster,
	}

	c.namespaces = kclient.New[*v1.Namespace](kubeClient)
	if c.opts.SystemNamespace != "" {
		registerHandlers[*v1.Namespace](
			c,
			c.namespaces,
			"Namespaces",
			func(old *v1.Namespace, cur *v1.Namespace, event model.Event) error {
				if cur.Name == c.opts.SystemNamespace {
					return c.onSystemNamespaceEvent(old, cur, event)
				}
				return nil
			},
			nil,
		)
	}

	if c.opts.DiscoveryNamespacesFilter == nil {
		c.opts.DiscoveryNamespacesFilter = namespace.NewDiscoveryNamespacesFilter(c.namespaces, options.MeshWatcher.Mesh().DiscoverySelectors)
	}

	c.initDiscoveryHandlers(options.MeshWatcher, c.opts.DiscoveryNamespacesFilter)

	c.services = kclient.NewFiltered[*v1.Service](kubeClient, kclient.Filter{ObjectFilter: c.opts.DiscoveryNamespacesFilter.Filter})

	// 注册service对应的事件处理回调函数
	registerHandlers[*v1.Service](c, c.services, "Services", c.onServiceEvent, nil)

	switch options.EndpointMode {
	case EndpointSliceOnly:
		c.endpoints = newEndpointSliceController(c)
	default: // nolint: gocritic
		log.Errorf("unknown endpoints mode: %v", options.EndpointMode)
		fallthrough
	case EndpointsOnly:
		// 实例化endpointsController,注册endpoints对应的事件处理回调函数
		c.endpoints = newEndpointsController(c)
	}

	// This is for getting the node IPs of a selected set of nodes
	c.nodes = kclient.NewFiltered[*v1.Node](kubeClient, kclient.Filter{ObjectTransform: kubelib.StripNodeUnusedFields})
	// 注册node对应的事件处理回调函数
	registerHandlers[*v1.Node](c, c.nodes, "Nodes", c.onNodeEvent, nil)

	c.podsClient = kclient.NewFiltered[*v1.Pod](kubeClient, kclient.Filter{
		ObjectFilter:    c.opts.DiscoveryNamespacesFilter.Filter,
		ObjectTransform: kubelib.StripPodUnusedFields,
	})
	c.pods = newPodCache(c, c.podsClient, func(key types.NamespacedName) {
		c.queue.Push(func() error {
			return c.endpoints.sync(key.Name, key.Namespace, model.EventAdd, true)
		})
	})
	// 注册pod对应的事件处理回调函数
	registerHandlers[*v1.Pod](c, c.podsClient, "Pods", c.pods.onEvent, c.pods.labelFilter)

	if features.EnableMCSServiceDiscovery || features.EnableMCSHost {
		c.crdWatcher = crdwatcher.NewController(kubeClient)
	}
	if features.EnableAmbientControllers {
		c.configController = options.ConfigController
		c.ambientIndex = c.setupIndex()
	}
	c.exports = newServiceExportCache(c)
	c.imports = newServiceImportCache(c)

	c.meshWatcher = options.MeshWatcher
	if c.opts.MeshNetworksWatcher != nil {
		c.opts.MeshNetworksWatcher.AddNetworksHandler(func() {
			c.reloadMeshNetworks()
			c.onNetworkChange()
		})
		c.reloadMeshNetworks()
	}

	return c
}

NewController()方法中实例化了Kubernetes注册中心的控制器,Kubernetes注册中心的控制器定义如下:

// pilot/pkg/serviceregistry/kube/controller/controller.go
type Controller struct {
	opts Options

	client kubelib.Client

	// 控制器的任务队列
	queue queue.Instance

	namespaces kclient.Client[*v1.Namespace]
	services   kclient.Client[*v1.Service]

	// kubernetes的endpoints控制器抽象接口,支持endpoint和endpointSlice
	endpoints kubeEndpointsController

	// Used to watch node accessible from remote cluster.
	// In multi-cluster(shared control plane multi-networks) scenario, ingress gateway service can be of nodePort type.
	// With this, we can populate mesh's gateway address with the node ips.
	nodes kclient.Client[*v1.Node]

	crdWatcher *crdwatcher.Controller
	// 多集群服务serviceExport的资源处理接口
	exports serviceExportCache
	// 多集群服务serviceImport的资源处理接口
	imports serviceImportCache
	// 包含kclient.Client[*v1.Pod]
	pods *PodCache

	crdHandlers []func(name string)
	// service及pod实例的事件处理函数
	handlers                   model.ControllerHandlers
	namespaceDiscoveryHandlers []func(ns string, event model.Event)

	// This is only used for test
	stop chan struct{}

	sync.RWMutex
	// servicesMap stores hostname ==> service, it is used to reduce convertService calls.
	// istio服务模型的缓存
	servicesMap map[host.Name]*model.Service
	// nodeSelectorsForServices stores hostname => label selectors that can be used to
	// refine the set of node port IPs for a service.
	nodeSelectorsForServices map[host.Name]labels.Instance
	// map of node name and its address+labels - this is the only thing we need from nodes
	// for vm to k8s or cross cluster. When node port services select specific nodes by labels,
	// we run through the label selectors here to pick only ones that we need.
	// Only nodes with ExternalIP addresses are included in this map !
	// node的缓存
	nodeInfoMap map[string]kubernetesNode
	// externalNameSvcInstanceMap stores hostname ==> instance, is used to store instances for ExternalName k8s services
	// externalName类型的服务实例缓存
	externalNameSvcInstanceMap map[host.Name][]*model.ServiceInstance
	// index over workload instances from workload entries
	// 工作负载实例的索引
	workloadInstancesIndex workloadinstances.Index

	networkManager

	// initialSyncTimedout is set to true after performing an initial processing timed out.
	initialSyncTimedout *atomic.Bool
	meshWatcher         mesh.Watcher

	podsClient kclient.Client[*v1.Pod]

	ambientIndex     *AmbientIndex
	configController model.ConfigStoreController
	configCluster    bool
}

Controller中services、nodes、podsClient属性都是Client[T controllers.Object]类型的,Client[T controllers.Object]封装了对应的资源操作客户端,定义如下:

// pkg/kube/kclient/interfaces.go
// Client wraps a Kubernetes client providing cached read access and direct write access.
type Client[T controllers.Object] interface {
	Reader[T]
	Writer[T]
	Informer[T]
}

Kubernetes控制器关键属性的初始化方式如下图:

Istio Pilot源码学习(二):ServiceController服务发现,Istio,istio

Kubernetes控制器的核心就是监听Kubernetes相关资源(Service、Endpoint、EndpointSlice、Pod、Node)的更新事件,执行相应的事件处理回调函数;并且进行从Kubernetes资源对象到Istio资源对象的转换,提供一定的缓存能力,主要是缓存Istio Service与WorkloadInstance

3)、ServiceController的工作机制

ServiceController为4种资源分别创建了Informer,用于监听Kubernetes资源的更新,并为其注册EventHandler

Istio Pilot源码学习(二):ServiceController服务发现,Istio,istio

NewController()方法中调用registerHandlers()方法为4种资源注册EventHandler,registerHandlers()方法代码如下:

// pilot/pkg/serviceregistry/kube/controller/controller.go
func registerHandlers[T controllers.ComparableObject](c *Controller,
	informer kclient.Informer[T], otype string,
	handler func(T, T, model.Event) error, filter FilterOutFunc[T],
) {
	// 包装传入的handler方法
	wrappedHandler := func(prev, curr T, event model.Event) error {
		curr = informer.Get(curr.GetName(), curr.GetNamespace())
		if controllers.IsNil(curr) {
			// this can happen when an immediate delete after update
			// the delete event can be handled later
			return nil
		}
		return handler(prev, curr, event)
	}
	informer.AddEventHandler(
		controllers.EventHandler[T]{
			AddFunc: func(obj T) {
				incrementEvent(otype, "add")
				// 创建资源处理任务并将其推送到任务队列
				c.queue.Push(func() error {
					return wrappedHandler(ptr.Empty[T](), obj, model.EventAdd)
				})
			},
			UpdateFunc: func(old, cur T) {
				if filter != nil {
					if filter(old, cur) {
						incrementEvent(otype, "updatesame")
						return
					}
				}

				incrementEvent(otype, "update")
				c.queue.Push(func() error {
					return wrappedHandler(old, cur, model.EventUpdate)
				})
			},
			DeleteFunc: func(obj T) {
				incrementEvent(otype, "delete")
				c.queue.Push(func() error {
					return handler(ptr.Empty[T](), obj, model.EventDelete)
				})
			},
		})
}

当监听到Service、Endpoint、Pod、Node资源更新时,EventHandler会创建资源处理任务并将其推送到任务队列,然后由任务处理协程阻塞式地接收任务对象,最终调用任务处理函数完成对资源对象的事件处理

Istio Pilot源码学习(二):ServiceController服务发现,Istio,istio

1)Service事件处理

// pilot/pkg/serviceregistry/kube/controller/controller.go
func (c *Controller) onServiceEvent(_, curr *v1.Service, event model.Event) error {
	log.Debugf("Handle event %s for service %s in namespace %s", event, curr.Name, curr.Namespace)

	// Create the standard (cluster.local) service.
	// 将kubernetes service转换成istio service
	svcConv := kube.ConvertService(*curr, c.opts.DomainSuffix, c.Cluster())
	switch event {
	case model.EventDelete:
		// 删除service
		c.deleteService(svcConv)
	default:
		// 创建或更新service
		c.addOrUpdateService(curr, svcConv, event, false)
	}

	return nil
}

func (c *Controller) addOrUpdateService(curr *v1.Service, currConv *model.Service, event model.Event, updateEDSCache bool) {
	needsFullPush := false
	// First, process nodePort gateway service, whose externalIPs specified
	// and loadbalancer gateway service
	if !currConv.Attributes.ClusterExternalAddresses.IsEmpty() {
		needsFullPush = c.extractGatewaysFromService(currConv)
	} else if isNodePortGatewayService(curr) {
		// We need to know which services are using node selectors because during node events,
		// we have to update all the node port services accordingly.
		nodeSelector := getNodeSelectorsForService(curr)
		c.Lock()
		// only add when it is nodePort gateway service
		c.nodeSelectorsForServices[currConv.Hostname] = nodeSelector
		c.Unlock()
		needsFullPush = c.updateServiceNodePortAddresses(currConv)
	}

	var prevConv *model.Service
	// instance conversion is only required when service is added/updated.
	instances := kube.ExternalNameServiceInstances(curr, currConv)
	c.Lock()
	prevConv = c.servicesMap[currConv.Hostname]
	c.servicesMap[currConv.Hostname] = currConv
	if len(instances) > 0 {
		c.externalNameSvcInstanceMap[currConv.Hostname] = instances
	}
	c.Unlock()

	// This full push needed to update ALL ends endpoints, even though we do a full push on service add/update
	// as that full push is only triggered for the specific service.
	if needsFullPush {
		// networks are different, we need to update all eds endpoints
		c.opts.XDSUpdater.ConfigUpdate(&model.PushRequest{Full: true, Reason: []model.TriggerReason{model.NetworksTrigger}})
	}

	shard := model.ShardKeyFromRegistry(c)
	ns := currConv.Attributes.Namespace
	// We also need to update when the Service changes. For Kubernetes, a service change will result in Endpoint updates,
	// but workload entries will also need to be updated.
	// TODO(nmittler): Build different sets of endpoints for cluster.local and clusterset.local.
	if updateEDSCache || features.EnableK8SServiceSelectWorkloadEntries {
		endpoints := c.buildEndpointsForService(currConv, updateEDSCache)
		if len(endpoints) > 0 {
			c.opts.XDSUpdater.EDSCacheUpdate(shard, string(currConv.Hostname), ns, endpoints)
		}
	}

	// 更新服务缓存
	c.opts.XDSUpdater.SvcUpdate(shard, string(currConv.Hostname), ns, event)
	// 触发service事件处理函数
	c.handlers.NotifyServiceHandlers(prevConv, currConv, event)
}

Service事件处理器会将根据事件的类型更新服务缓存,然后调用serviceHandlers的事件处理器进行回调。serviceHandlers是通过ServiceController的AppendServiceHandler()注册的,注册代码如下:

// pilot/pkg/bootstrap/server.go
func (s *Server) initRegistryEventHandlers() {
	log.Info("initializing registry event handlers")
	// Flush cached discovery responses whenever services configuration change.
	serviceHandler := func(prev, curr *model.Service, event model.Event) {
		needsPush := true
		if event == model.EventUpdate {
			needsPush = serviceUpdateNeedsPush(prev, curr)
		}
		if needsPush {
			// 触发xds全量更新
			pushReq := &model.PushRequest{
				Full:           true,
				ConfigsUpdated: sets.New(model.ConfigKey{Kind: kind.ServiceEntry, Name: string(curr.Hostname), Namespace: curr.Attributes.Namespace}),
				Reason:         []model.TriggerReason{model.ServiceUpdate},
			}
			s.XDSServer.ConfigUpdate(pushReq)
		}
	}
	// 注册service的事件处理函数
	s.ServiceController().AppendServiceHandler(serviceHandler)
  ...

2)Endpoint事件处理

Endpoint事件处理器在NewController()中调用newEndpointsController()创建endpointsController的时候注册:

// pilot/pkg/serviceregistry/kube/controller/endpoints.go
func newEndpointsController(c *Controller) *endpointsController {
	endpoints := kclient.NewFiltered[*v1.Endpoints](c.client, kclient.Filter{ObjectFilter: c.opts.GetFilter()})
	out := &endpointsController{
		endpoints: endpoints,
		c:         c,
	}
	// 注册endpoint对应的事件处理回调函数
	registerHandlers[*v1.Endpoints](c, endpoints, "Endpoints", out.onEvent, endpointsEqual)
	return out
}

func (e *endpointsController) onEvent(_, ep *v1.Endpoints, event model.Event) error {
	return processEndpointEvent(e.c, e, ep.Name, ep.Namespace, event, ep)
}

Endpoint事件处理函数是processEndpointEvent(),实现如下:

// pilot/pkg/serviceregistry/kube/controller/endpointcontroller.go
func processEndpointEvent(c *Controller, epc kubeEndpointsController, name string, namespace string, event model.Event, ep any) error {
	// Update internal endpoint cache no matter what kind of service, even headless service.
	// As for gateways, the cluster discovery type is `EDS` for headless service.
	// 更新eds
	updateEDS(c, epc, ep, event)
	if svc := c.services.Get(name, namespace); svc != nil {
		// if the service is headless service, trigger a full push if EnableHeadlessService is true,
		// otherwise push endpoint updates - needed for NDS output.
		// 如果是headlessService,触发xds全量更新
		if svc.Spec.ClusterIP == v1.ClusterIPNone {
			for _, modelSvc := range c.servicesForNamespacedName(config.NamespacedName(svc)) {
				c.opts.XDSUpdater.ConfigUpdate(&model.PushRequest{
					Full: features.EnableHeadlessService,
					// TODO: extend and set service instance type, so no need to re-init push context
					ConfigsUpdated: sets.New(model.ConfigKey{Kind: kind.ServiceEntry, Name: modelSvc.Hostname.String(), Namespace: svc.Namespace}),

					Reason: []model.TriggerReason{model.HeadlessEndpointUpdate},
				})
				return nil
			}
		}
	}

	return nil
}

func updateEDS(c *Controller, epc kubeEndpointsController, ep any, event model.Event) {
	namespacedName := epc.getServiceNamespacedName(ep)
	log.Debugf("Handle EDS endpoint %s %s in namespace %s", namespacedName.Name, event, namespacedName.Namespace)
	var forgottenEndpointsByHost map[host.Name][]*model.IstioEndpoint
	if event == model.EventDelete {
		forgottenEndpointsByHost = epc.forgetEndpoint(ep)
	}

	shard := model.ShardKeyFromRegistry(c)

	for _, hostName := range c.hostNamesForNamespacedName(namespacedName) {
		var endpoints []*model.IstioEndpoint
		if forgottenEndpointsByHost != nil {
			endpoints = forgottenEndpointsByHost[hostName]
		} else {
			// 将endpoint转换成istio endpoint
			endpoints = epc.buildIstioEndpoints(ep, hostName)
		}

		if features.EnableK8SServiceSelectWorkloadEntries {
			svc := c.GetService(hostName)
			if svc != nil {
				fep := c.collectWorkloadInstanceEndpoints(svc)
				endpoints = append(endpoints, fep...)
			} else {
				log.Debugf("Handle EDS endpoint: skip collecting workload entry endpoints, service %s/%s has not been populated",
					namespacedName.Namespace, namespacedName.Name)
			}
		}

		// 调用EDSUpdate
		c.opts.XDSUpdater.EDSUpdate(shard, string(hostName), namespacedName.Namespace, endpoints)
	}
}

最后调用XDSUpdater.EDSUpdate()进行EDS的缓存更新及触发xDS更新,代码如下:

// pilot/pkg/xds/eds.go
func (s *DiscoveryServer) EDSUpdate(shard model.ShardKey, serviceName string, namespace string,
	istioEndpoints []*model.IstioEndpoint,
) {
	inboundEDSUpdates.Increment()
	// Update the endpoint shards
	// 更新eds缓存
	pushType := s.edsCacheUpdate(shard, serviceName, namespace, istioEndpoints)
	// 触发xds更新
	if pushType == IncrementalPush || pushType == FullPush {
		// Trigger a push
		s.ConfigUpdate(&model.PushRequest{
			Full:           pushType == FullPush,
			ConfigsUpdated: sets.New(model.ConfigKey{Kind: kind.ServiceEntry, Name: serviceName, Namespace: namespace}),
			Reason:         []model.TriggerReason{model.EndpointUpdate},
		})
	}
}

func (s *DiscoveryServer) edsCacheUpdate(shard model.ShardKey, hostname string, namespace string,
	istioEndpoints []*model.IstioEndpoint,
) PushType {
	if len(istioEndpoints) == 0 {
		// Should delete the service EndpointShards when endpoints become zero to prevent memory leak,
		// but we should not delete the keys from EndpointIndex map - that will trigger
		// unnecessary full push which can become a real problem if a pod is in crashloop and thus endpoints
		// flip flopping between 1 and 0.
		// 在endpoint变为0时,应该删除服务的endpointIndex,但是不能删除endpointIndex map中的键值,
		// 因为假如这时pod状态在crash loop和ready之间跳变,就会引起不必要、频繁的xds全量更新
		s.Env.EndpointIndex.DeleteServiceShard(shard, hostname, namespace, true)
		log.Infof("Incremental push, service %s at shard %v has no endpoints", hostname, shard)
		return IncrementalPush
	}

	pushType := IncrementalPush
	// Find endpoint shard for this service, if it is available - otherwise create a new one.
	// 找到服务的endpointShard,如果不存在,则创建一个新的
	ep, created := s.Env.EndpointIndex.GetOrCreateEndpointShard(hostname, namespace)
	// If we create a new endpoint shard, that means we have not seen the service earlier. We should do a full push.
	// 如果创建了endpointShard,则需要触发xds全量更新
	if created {
		log.Infof("Full push, new service %s/%s", namespace, hostname)
		pushType = FullPush
	}

	ep.Lock()
	defer ep.Unlock()
	newIstioEndpoints := istioEndpoints
	// 支持发送unhealthy endpoints
	if features.SendUnhealthyEndpoints.Load() {
		oldIstioEndpoints := ep.Shards[shard]
		newIstioEndpoints = make([]*model.IstioEndpoint, 0, len(istioEndpoints))

		// Check if new Endpoints are ready to be pushed. This check
		// will ensure that if a new pod comes with a non ready endpoint,
		// we do not unnecessarily push that config to Envoy.
		// Please note that address is not a unique key. So this may not accurately
		// identify based on health status and push too many times - which is ok since its an optimization.
		emap := make(map[string]*model.IstioEndpoint, len(oldIstioEndpoints))
		nmap := make(map[string]*model.IstioEndpoint, len(newIstioEndpoints))
		// Add new endpoints only if they are ever ready once to shards
		// so that full push does not send them from shards.
		for _, oie := range oldIstioEndpoints {
			emap[oie.Address] = oie
		}
		for _, nie := range istioEndpoints {
			nmap[nie.Address] = nie
		}
		needPush := false
		for _, nie := range istioEndpoints {
			if oie, exists := emap[nie.Address]; exists {
				// If endpoint exists already, we should push if it's health status changes.
				// 如果endpoint存在,判断其健康状态是否发生了变化,仅在发生变化时才需要进行xds推送
				if oie.HealthStatus != nie.HealthStatus {
					needPush = true
				}
				newIstioEndpoints = append(newIstioEndpoints, nie)
			} else if nie.HealthStatus == model.Healthy {
				// If the endpoint does not exist in shards that means it is a
				// new endpoint. Only send if it is healthy to avoid pushing endpoints
				// that are not ready to start with.
				// 如果endpoint原来不存在,仅当其健康时进行xds推送
				needPush = true
				newIstioEndpoints = append(newIstioEndpoints, nie)
			}
		}
		// Next, check for endpoints that were in old but no longer exist. If there are any, there is a
		// removal so we need to push an update.
		// 如果检查到endpoint原来存在,但是现在被删除了,则这时也需要进行xds推送
		for _, oie := range oldIstioEndpoints {
			if _, f := nmap[oie.Address]; !f {
				needPush = true
			}
		}

		if pushType != FullPush && !needPush {
			log.Debugf("No push, either old endpoint health status did not change or new endpoint came with unhealthy status, %v", hostname)
			pushType = NoPush
		}

	}

	ep.Shards[shard] = newIstioEndpoints

	// Check if ServiceAccounts have changed. We should do a full push if they have changed.
	// 检查serviceAccount的变化
	saUpdated := s.UpdateServiceAccount(ep, hostname)

	// For existing endpoints, we need to do full push if service accounts change.
	if saUpdated && pushType != FullPush {
		// Avoid extra logging if already a full push
		log.Infof("Full push, service accounts changed, %v", hostname)
		pushType = FullPush
	}

	// Clear the cache here. While it would likely be cleared later when we trigger a push, a race
	// condition is introduced where an XDS response may be generated before the update, but not
	// completed until after a response after the update. Essentially, we transition from v0 -> v1 ->
	// v0 -> invalidate -> v1. Reverting a change we pushed violates our contract of monotonically
	// moving forward in version. In practice, this is pretty rare and self corrects nearly
	// immediately. However, clearing the cache here has almost no impact on cache performance as we
	// would clear it shortly after anyways.
	// 清空xdsCache
	s.Cache.Clear(sets.New(model.ConfigKey{Kind: kind.ServiceEntry, Name: hostname, Namespace: namespace}))

	return pushType
}

Endpoint事件处理器根据Endpoint的变化更新与服务相关的缓存,判断本次Endpoint资源的更新是否需要触发全量的xDS更新。在服务网各种变化最多、最快的往往是Endpoint,因为增量EDS的更新能够大大降低系统的资源(CPU、内存、带宽)开销,提升服务网格的稳定性

参考:

《Istio权威指南 下》

2.深入Istio源码:Pilot服务发现文章来源地址https://www.toymoban.com/news/detail-605260.html

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