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https://issues.apache.org/jira/browse/GOBBLIN-989?focusedWorklogId=352258&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-352258
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ASF GitHub Bot logged work on GOBBLIN-989:
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Author: ASF GitHub Bot
Created on: 02/Dec/19 22:08
Start Date: 02/Dec/19 22:08
Worklog Time Spent: 10m
Work Description: autumnust commented on pull request #2835: GOBBLIN-989:
Track and report record level SLA in Gobblin Kafka Extra…
URL: https://github.com/apache/incubator-gobblin/pull/2835#discussion_r352884746
##########
File path:
gobblin-modules/gobblin-kafka-common/src/main/java/org/apache/gobblin/source/extractor/extract/kafka/KafkaExtractorStatsTracker.java
##########
@@ -249,6 +263,7 @@ public void updateStatisticsForCurrentPartition(int
partitionIdx, long readStart
this.workUnitState.setProp(KafkaUtils.getPartitionPropName(KafkaSource.STOP_FETCH_EPOCH_TIME,
partitionId),
Long.toString(stats.getStopFetchEpochTime()));
tagsForPartition.put(PROCESSED_RECORD_COUNT,
Long.toString(stats.getProcessedRecordCount()));
+ tagsForPartition.put(SLA_MISSED_RECORD_COUNT,
Long.toString(stats.getSlaMissedRecordCount()));
Review comment:
If `SLA_MISSED_RECORD_COUNT ` is added anyway, how to distinguish between
non-SLA-miss versus non-configured for whoever just monitoring the dashboard?
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Issue Time Tracking
-------------------
Worklog Id: (was: 352258)
Time Spent: 40m (was: 0.5h)
> Track and report record level SLA in Gobblin Kafka Extractor tracking event
> ---------------------------------------------------------------------------
>
> Key: GOBBLIN-989
> URL: https://issues.apache.org/jira/browse/GOBBLIN-989
> Project: Apache Gobblin
> Issue Type: Improvement
> Components: gobblin-kafka
> Affects Versions: 0.15.0
> Reporter: Sudarshan Vasudevan
> Assignee: Shirshanka Das
> Priority: Major
> Fix For: 0.15.0
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Track record level SLA in Gobblin Kafka Extractor tracking events. The SLA is
> measured as the difference between extract time and the log append time on
> the Kafka broker, if available in the Kafka consumer record.
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