KKcorps commented on code in PR #9713:
URL: https://github.com/apache/pinot/pull/9713#discussion_r1180427040


##########
pinot-plugins/pinot-stream-ingestion/pinot-kinesis/src/main/java/org/apache/pinot/plugin/stream/kinesis/KinesisStreamMetadataProvider.java:
##########
@@ -189,6 +192,24 @@ private boolean 
consumedEndOfShard(StreamPartitionMsgOffset startCheckpoint,
   }
 
   @Override
-  public void close() {
+  public Map<String, PartitionLagState> getCurrentPartitionLagState(
+      Map<String, ConsumerPartitionState> currentPartitionStateMap) {
+    Map<String, PartitionLagState> perPartitionLag = new HashMap<>();
+    for (Map.Entry<String, ConsumerPartitionState> entry: 
currentPartitionStateMap.entrySet()) {
+      ConsumerPartitionState partitionState = entry.getValue();
+      // Compute record-availability
+      String recordAvailabilityLag = "UNKNOWN";
+      RowMetadata lastProcessedMessageMetadata = 
partitionState.getLastProcessedRowMetadata();
+      if (lastProcessedMessageMetadata != null && 
partitionState.getLastProcessedTimeMs() > 0) {
+        long availabilityLag = partitionState.getLastProcessedTimeMs()
+            - lastProcessedMessageMetadata.getRecordIngestionTimeMs();
+        recordAvailabilityLag = String.valueOf(availabilityLag);
+      }
+      perPartitionLag.put(entry.getKey(), new 
KinesisConsumerPartitionLag(recordAvailabilityLag));

Review Comment:
   IMO, we should be using this metric. Kinesis official dashboards also use 
the same metric
   
[image](https://user-images.githubusercontent.com/5559703/235164581-f9c3a557-b425-4bc6-a4c0-759e76e082e0.png)
   



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