KKcorps commented on code in PR #9713:
URL: https://github.com/apache/pinot/pull/9713#discussion_r1180429077
##########
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:
Also, we should add a javadoc here declaring what happens to lag in case of
a reshard operation.
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