techdocsmith commented on code in PR #12567:
URL: https://github.com/apache/druid/pull/12567#discussion_r882162943


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docs/querying/multitenancy.md:
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@@ -75,10 +75,7 @@ stored on this tier.
 
 ## Supporting high query concurrency
 
-Druid's fundamental unit of computation is a [segment](../design/segments.md). 
Processes scan segments in parallel and a
-given process can scan `druid.processing.numThreads` concurrently. To
-process more data in parallel and increase performance, more cores can be 
added to a cluster. Druid segments
-should be sized such that any computation over any given segment should 
complete in at most 500ms.
+Druid's fundamental unit of computation is a [segment](../design/segments.md). 
Processes scan segments in parallel and a given process can scan 
`druid.processing.numThreads` concurrently. To process more data in parallel 
and increase performance, more cores can be added to a cluster. Druid segments 
should be sized such that any computation over any given segment should 
complete in at most 500ms. The metric you need to check for this is 
[`query/segment/time`](../operations/metrics.md#historical).

Review Comment:
   ```suggestion
   Druid's fundamental unit of computation is a 
[segment](../design/segments.md). Processes scan segments in parallel and a 
given process can scan `druid.processing.numThreads` concurrently. You can add 
more cores to a cluster to process more data in parallel and increase 
performance. Size your Druid segments such that any computation over any given 
segment should complete in at most 500ms. Use the  the 
[`query/segment/time`](../operations/metrics.md#historical) metric to monitor 
computation times.
   ```



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