-
Type:
Bug
-
Status: Resolved
-
Priority:
Major
-
Resolution: Duplicate
-
Affects Version/s: None
-
Fix Version/s: None
-
Component/s: streams
-
Labels:
In Kafka Streams we record throughput / latency metrics on EACH processing record, causing a lot of recording overhead. Instead, we should consider statistically sampling messages flowing through to measures latency and throughput.
This is based on our observations from KAFKA-3769 and KAFKA-3811.
- Is contained by
-
KAFKA-5152 Kafka Streams keeps restoring state after shutdown is initiated during startup
-
- Resolved
-
- is related to
-
KAFKA-3769 KStream job spending 60% of time writing metrics
-
- Resolved
-
-
KAFKA-3811 Introduce Kafka Streams metrics recording levels
-
- Resolved
-