optimzie logic of real time data pull api

constants/buffer.go

@@ -4,8 +4,14 @@ package constants
 import "time"
 
 const (
+	// FanInChanMaxSize define maximum buffer capacity by fanChannel
+	FanInChanMaxSize = 10000
 	// SendMaxBatchSize define maximum buffer capacity
+	// TODO 后续优化批处理大小
 	SendMaxBatchSize = 100
+	// SendChanBufferSize define maximum buffer capacity by channel
+	SendChanBufferSize = 100
+
 	// SendMaxBatchInterval define maximum aggregate latency
-	SendMaxBatchInterval = 200 * time.Millisecond
+	SendMaxBatchInterval = 20 * time.Millisecond
 )

handler/diagram_node_link.go

@@ -17,6 +17,12 @@ import (
 	"github.com/gin-gonic/gin"
 )
 
+type linkSetConfig struct {
+	CurrKey         string
+	PrevKeyTemplate string
+	PrevIsNil       bool
+}
+
 var linkSetConfigs = map[int]linkSetConfig{
 	// grid hierarchy
 	0: {CurrKey: constants.RedisAllGridSetKey, PrevIsNil: true},
@@ -180,9 +186,3 @@ func processDiagramLinkError(err1, err2 error, action string) error {
 	}
 	return err
 }
-
-type linkSetConfig struct {
-	CurrKey         string
-	PrevKeyTemplate string
-	PrevIsNil       bool
-}

handler/real_time_data_pull.go

@@ -61,9 +61,13 @@ func PullRealTimeDataHandler(c *gin.Context) {
 	defer cancel()
 
 	// TODO[BACKPRESSURE-ISSUE] 先期使用固定大容量对扇入模型进行定义 #1
-	fanInChan := make(chan network.RealTimePullTarget, 10000)
+	fanInChan := make(chan network.RealTimePullTarget, constants.FanInChanMaxSize)
+	sendChan := make(chan []network.RealTimePullTarget, constants.SendChanBufferSize)
+
 	go processTargetPolling(ctx, globalSubState, clientID, fanInChan)
 	go readClientMessages(ctx, conn, clientID, cancel)
+	go sendDataStream(ctx, conn, clientID, sendChan, cancel)
+	defer close(sendChan)
 
 	bufferMaxSize := constants.SendMaxBatchSize
 	sendMaxInterval := constants.SendMaxBatchInterval
@@ -82,10 +86,12 @@ func PullRealTimeDataHandler(c *gin.Context) {
 
 			if len(buffer) >= bufferMaxSize {
 				// buffer is full, send immediately
-				if err := sendAggregateRealTimeDataStream(conn, buffer); err != nil {
-					logger.Error(ctx, "when buffer is full, send the real time aggregate data failed", "client_id", clientID, "buffer", buffer, "error", err)
-					return
+				select {
+				case sendChan <- buffer:
+				default:
+					logger.Warn(ctx, "sendChan is full, dropping aggregated data batch (buffer is full)", "client_id", clientID)
 				}
+
 				// reset buffer
 				buffer = make([]network.RealTimePullTarget, 0, bufferMaxSize)
 				// reset the ticker to prevent it from triggering immediately after the ticker is sent
@@ -94,19 +100,25 @@ func PullRealTimeDataHandler(c *gin.Context) {
 		case <-ticker.C:
 			if len(buffer) > 0 {
 				// when the ticker is triggered, all data in the send buffer is sent
-				if err := sendAggregateRealTimeDataStream(conn, buffer); err != nil {
-					logger.Error(ctx, "when the ticker is triggered, send the real time aggregate data failed", "client_id", clientID, "buffer", buffer, "error", err)
-					return
+				select {
+				case sendChan <- buffer:
+				default:
+					logger.Warn(ctx, "sendChan is full, dropping aggregated data batch (ticker is triggered)", "client_id", clientID)
 				}
+
 				// reset buffer
 				buffer = make([]network.RealTimePullTarget, 0, bufferMaxSize)
 			}
 		case <-ctx.Done():
 			// send the last remaining data
-			if err := sendAggregateRealTimeDataStream(conn, buffer); err != nil {
-				logger.Error(ctx, "send the last remaining data failed", "client_id", clientID, "buffer", buffer, "error", err)
+			if len(buffer) > 0 {
+				select {
+				case sendChan <- buffer:
+				default:
+					logger.Warn(ctx, "sendChan is full, cannot send last remaining data during shutdown.", "client_id", clientID)
 				}
-			logger.Info(ctx, "PullRealTimeDataHandler exiting as context is done.", "client_id", clientID)
+			}
+			logger.Info(ctx, "pullRealTimeDataHandler exiting as context is done.", "client_id", clientID)
 			return
 		}
 	}
@@ -152,6 +164,27 @@ func sendAggregateRealTimeDataStream(conn *websocket.Conn, targetsData []network
 	return conn.WriteJSON(response)
 }
 
+func sendDataStream(ctx context.Context, conn *websocket.Conn, clientID string, sendChan <-chan []network.RealTimePullTarget, cancel context.CancelFunc) {
+	logger.Info(ctx, "start dedicated websocket sender goroutine", "client_id", clientID)
+	for {
+		select {
+		case targetsData, ok := <-sendChan:
+			if !ok {
+				logger.Info(ctx, "send channel closed, sender goroutine exiting", "client_id", clientID)
+				return
+			}
+			if err := sendAggregateRealTimeDataStream(conn, targetsData); err != nil {
+				logger.Error(ctx, "send the real time aggregate data failed in sender goroutine", "client_id", clientID, "error", err)
+				cancel()
+				return
+			}
+		case <-ctx.Done():
+			logger.Info(ctx, "sender goroutine exiting as context is done", "client_id", clientID)
+			return
+		}
+	}
+}
+
 // processTargetPolling define function to process target in subscription map and data is continuously retrieved from redis based on the target
 func processTargetPolling(ctx context.Context, s *SharedSubState, clientID string, fanInChan chan network.RealTimePullTarget) {
 	// ensure the fanInChan will not leak