ektravel commented on code in PR #12416:
URL: https://github.com/apache/druid/pull/12416#discussion_r861010327


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docs/design/coordinator.md:
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@@ -79,26 +79,27 @@ If a Historical process restarts or becomes unavailable for 
any reason, the Drui
 
 To ensure an even distribution of segments across Historical processes in the 
cluster, the Coordinator process will find the total size of all segments being 
served by every Historical process each time the Coordinator runs. For every 
Historical process tier in the cluster, the Coordinator process will determine 
the Historical process with the highest utilization and the Historical process 
with the lowest utilization. The percent difference in utilization between the 
two processes is computed, and if the result exceeds a certain threshold, a 
number of segments will be moved from the highest utilized process to the 
lowest utilized process. There is a configurable limit on the number of 
segments that can be moved from one process to another each time the 
Coordinator runs. Segments to be moved are selected at random and only moved if 
the resulting utilization calculation indicates the percentage difference 
between the highest and lowest servers has decreased.
 
-### Compacting Segments
+### Compacting segments
 
-Each run, the Druid Coordinator compacts segments by merging small segments or 
splitting a large one. This is useful when your segments are not optimized
-in terms of segment size which may degrade query performance. See [Segment 
Size Optimization](../operations/segment-optimization.md) for details.
+The Druid Coordinator manages the automatic compaction system.
+Each run, the Coordinator compacts segments by merging small segments or 
splitting a large one. This is useful when your segments are not optimized

Review Comment:
   ```suggestion
   Each run, the Coordinator compacts segments by merging small segments or 
splitting a large one. This is useful when your segments are not optimized
   ```
   ```suggestion
   Each run, the Coordinator compacts segments by merging small segments or 
splitting a large one. This is useful when the size of your segments is not 
optimized which may degrade query performance.
   ```



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