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https://issues.apache.org/jira/browse/HBASE-20234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16413001#comment-16413001
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Anastasia Braginsky commented on HBASE-20234:
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As I see the current metrics in the region are all related to on-disk flushes.I
am not sure how those metrics collection is working. Is it the counters that
are summarized all the time (just growing), or is it something reset in some
period of time? In general, I would suggest the following metrics
# Number of in-memory-flushes/rate of in-memory-flushes/average number of
in-memory-flushes per CompactingMemStore
# Number of bytes saved by CompactingMemStore (whether it is by flattening,
merging or compacting) per flush to disk. Meaning a per CompactingMemStore
counter that is zeroed upon flush to disk, and then collects again all the
saved bytes.
# Average pipeline length, averaged over the time and/or between stores
# Anything else?
> Expose in-memory compaction metrics
> -----------------------------------
>
> Key: HBASE-20234
> URL: https://issues.apache.org/jira/browse/HBASE-20234
> Project: HBase
> Issue Type: Sub-task
> Reporter: stack
> Priority: Major
>
> Hard to glean insight from how well in-memory compaction is doing currently.
> It dumps stats into the logs but better if they were available to a
> dashboard. This issue is about exposing a couple of helpful counts. There are
> already by-region metrics. We can add a few for in-memory compaction (Help me
> out [~anastas]... what counts would be best to expose).
> Flush related metrics include....
> {code}
> Namespace_default_table_tsdb-tree_region_cfbf23e7330a1a2bbde031f9583d3415_metric_flushesQueuedCount:
> {
> description: "Number flushes requested/queued for this region",
> value: 0
> {
> description: "The number of cells flushed to disk",
> value: 0
> },
> {
> description: "The total amount of data flushed to disk, in bytes",
> value: 0
> },
> ...
> {code}
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