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Only return changed counts, and send initial count
Three main changes: - When a count changes, only send that count. This makes the count socket significantly more usable - The count buffer will now send a count right away. This allows a message to launch wihtout an inital buffered wait period - The count buffer now sends messages every 5 seconds instead of 1
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parent
647cba2be7
commit
2eb41a9db7
@ -6,35 +6,60 @@ import (
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"github.com/rancher/apiserver/pkg/types"
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)
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func buffer(c chan types.APIEvent) chan types.APIEvent {
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// debounceDuration determines how long events will be held before they are sent to the consumer
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var debounceDuration = 5 * time.Second
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// countsBuffer creates an APIEvent channel with a buffered response time (i.e. replies are only sent once every second)
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func countsBuffer(c chan Count) chan types.APIEvent {
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result := make(chan types.APIEvent)
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go func() {
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defer close(result)
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debounce(result, c)
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debounceCounts(result, c)
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}()
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return result
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}
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func debounce(result, input chan types.APIEvent) {
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t := time.NewTicker(time.Second)
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// debounceCounts converts counts from an input channel into an APIEvent, and updates the result channel at a reduced pace
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func debounceCounts(result chan types.APIEvent, input chan Count) {
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// counts aren't a critical value. To avoid excess UI processing, only send updates after debounceDuration has elapsed
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t := time.NewTicker(debounceDuration)
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defer t.Stop()
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var (
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lastEvent *types.APIEvent
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)
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var currentCount *Count
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firstCount, fOk := <-input
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if fOk {
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// send a count immediately or we will have to wait a second for the first update
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result <- toAPIEvent(firstCount)
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}
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for {
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select {
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case event, ok := <-input:
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if ok {
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lastEvent = &event
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} else {
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case count, ok := <-input:
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if !ok {
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return
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}
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if currentCount == nil {
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currentCount = &count
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} else {
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itemCounts := count.Counts
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for id, itemCount := range itemCounts {
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// our current count will be outdated in comparison with anything in the new events
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currentCount.Counts[id] = itemCount
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}
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}
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case <-t.C:
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if lastEvent != nil {
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result <- *lastEvent
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lastEvent = nil
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if currentCount != nil {
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result <- toAPIEvent(*currentCount)
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currentCount = nil
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}
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}
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}
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}
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func toAPIEvent(count Count) types.APIEvent {
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return types.APIEvent{
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Name: "resource.change",
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ResourceType: "counts",
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Object: toAPIObject(count),
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}
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}
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@ -24,6 +24,7 @@ var (
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}
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)
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// Register registers a new count schema. This schema isn't a true resource but instead returns counts for other resources
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func Register(schemas *types.APISchemas, ccache clustercache.ClusterCache) {
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schemas.MustImportAndCustomize(Count{}, func(schema *types.APISchema) {
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schema.CollectionMethods = []string{http.MethodGet}
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@ -110,9 +111,10 @@ func (s *Store) List(apiOp *types.APIRequest, schema *types.APISchema) (types.AP
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}, nil
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}
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// Watch creates a watch for the Counts schema. This returns only the counts which have changed since the watch was established
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func (s *Store) Watch(apiOp *types.APIRequest, schema *types.APISchema, w types.WatchRequest) (chan types.APIEvent, error) {
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var (
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result = make(chan types.APIEvent, 100)
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result = make(chan Count, 100)
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counts map[string]ItemCount
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gvkToSchema = map[schema2.GroupVersionKind]*types.APISchema{}
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countLock sync.Mutex
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@ -178,18 +180,13 @@ func (s *Store) Watch(apiOp *types.APIRequest, schema *types.APISchema, w types.
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}
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counts[schema.ID] = itemCount
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countsCopy := map[string]ItemCount{}
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for k, v := range counts {
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countsCopy[k] = *v.DeepCopy()
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changedCount := map[string]ItemCount{
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schema.ID: itemCount,
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}
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result <- types.APIEvent{
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Name: "resource.change",
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ResourceType: "counts",
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Object: toAPIObject(Count{
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ID: "count",
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Counts: countsCopy,
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}),
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result <- Count{
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ID: "count",
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Counts: changedCount,
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}
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return nil
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@ -205,7 +202,8 @@ func (s *Store) Watch(apiOp *types.APIRequest, schema *types.APISchema, w types.
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return onChange(false, gvk, key, obj, nil)
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})
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return buffer(result), nil
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// buffer the counts so that we don't spam the consumer with constant updates
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return countsBuffer(result), nil
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}
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func (s *Store) schemasToWatch(apiOp *types.APIRequest) (result []*types.APISchema) {
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