[jira] [Assigned] (KAFKA-15147) Measure pending and outstanding Remote Segment operations
[ https://issues.apache.org/jira/browse/KAFKA-15147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Divij Vaidya reassigned KAFKA-15147: Assignee: Christo Lolov (was: Divij Vaidya) > 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 >Assignee: Christo Lolov >Priority: Major > Labels: tiered-storage > Fix For: 3.7.0 > > > 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)
[jira] [Assigned] (KAFKA-15147) Measure pending and outstanding Remote Segment operations
[ https://issues.apache.org/jira/browse/KAFKA-15147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Divij Vaidya reassigned KAFKA-15147: Assignee: Divij Vaidya > 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 >Assignee: Divij Vaidya >Priority: Major > Labels: tiered-storage > > 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)
