writer-jill commented on code in PR #13181:
URL: https://github.com/apache/druid/pull/13181#discussion_r1004619944


##########
docs/operations/rule-configuration.md:
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@@ -23,212 +23,242 @@ title: "Retaining or automatically dropping data"
   -->
 
 
-In Apache Druid, Coordinator processes use rules to determine what data should 
be loaded to or dropped from the cluster. Rules are used for data retention and 
query execution, and are set via the [web console](./web-console.md).
+In Apache Druid, [Coordinator processes](../design/coordinator.md) use rules 
to determine what data to retain or drop from the cluster. 
 
-There are three types of rules, i.e., load rules, drop rules, and broadcast 
rules. Load rules indicate how segments should be assigned to different 
historical process tiers and how many replicas of a segment should exist in 
each tier.
-Drop rules indicate when segments should be dropped entirely from the cluster. 
Finally, broadcast rules indicate how segments of different datasources should 
be co-located in Historical processes.
+There are three types of rules: [load](#load-rules), [drop](#drop-rules), and 
[broadcast](#broadcast-rules). See the sections below for more information on 
each type.
 
-The Coordinator loads a set of rules from the metadata storage. Rules may be 
specific to a certain datasource and/or a
-default set of rules can be configured. Rules are read in order and hence the 
ordering of rules is important. The
-Coordinator will cycle through all used segments and match each segment with 
the first rule that applies. Each segment
-may only match a single rule.
+The Coordinator loads a set of rules from the metadata storage. You can 
configure a default set of rules to apply to all data sources, and/or you can 
set specific rules for specific data sources. 

Review Comment:
   Updated.



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