Jorge Esteban Quilcate Otoya created KAFKA-15147:
----------------------------------------------------
Summary: Measure pending and outstanding Remote Segment operations
Key: KAFKA-15147
URL: https://issues.apache.org/jira/browse/KAFKA-15147
Project: Kafka
Issue Type: Improvement
Components: core
Reporter: Jorge Esteban Quilcate Otoya
Remote Log Segment operations (copy/delete) are executed by the Remote Storage
Manager, and recorded by Remote Log Metadata Manager (e.g. default
TopicBasedRLMM writes to the internal Kafka topic state changes on remote log
segments).
As executions run, fail, and retry; it will be important to know how many
operations are pending and outstanding over time to alert operators.
Pending operations are not enough to alert, as values can oscillate closer to
zero. An additional condition needs to apply (running time > threshold) to
consider an operation outstanding.
Proposal:
RemoteLogManager could be extended with 2 concurrent maps
(pendingSegmentCopies, pendingSegmentDeletes) `Map[Uuid, Long]` to measure
segmentId time when operation started, and based on this expose 2 metrics per
operation:
* pendingSegmentCopies: gauge of pendingSegmentCopies map
* outstandingSegmentCopies: loop over pending ops, and if now - startedTime >
timeout, then outstanding++ (maybe on debug level?)
Is this a valuable metric to add to Tiered Storage? or better to solve on a
custom RLMM implementation?
Also, does it require a KIP?
Thanks!
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
