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https://issues.apache.org/jira/browse/SPARK-35259?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-35259:
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Assignee: (was: Apache Spark)
> ExternalBlockHandler metrics have misleading unit in the name
> -------------------------------------------------------------
>
> Key: SPARK-35259
> URL: https://issues.apache.org/jira/browse/SPARK-35259
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 3.1.1
> Reporter: Erik Krogen
> Priority: Major
>
> Today {{ExternalBlockHandler}} exposes a few {{Timer}} metrics:
> {code}
> // Time latency for open block request in ms
> private final Timer openBlockRequestLatencyMillis = new Timer();
> // Time latency for executor registration latency in ms
> private final Timer registerExecutorRequestLatencyMillis = new Timer();
> // Time latency for processing fetch merged blocks meta request latency
> in ms
> private final Timer fetchMergedBlocksMetaLatencyMillis = new Timer();
> // Time latency for processing finalize shuffle merge request latency in
> ms
> private final Timer finalizeShuffleMergeLatencyMillis = new Timer();
> {code}
> However these Dropwizard Timers by default use nanoseconds
> ([documentation|https://metrics.dropwizard.io/3.2.3/getting-started.html#timers]).
> It's certainly possible to extract milliseconds from them, but it seems
> misleading to have millis in the name here.
> This causes {{YarnShuffleServiceMetrics}} to expose confusingly-named metrics
> like {{openBlockRequestLatencyMillis_count}} and
> {{openBlockRequestLatencyMillis_nanos}}. It should be up to the metrics
> exporter, like {{YarnShuffleServiceMetrics}}, to decide the unit and adjust
> the name accordingly, so the unit shouldn't be included in the name of the
> metric itself.
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