lengyul commented on issue #4580: shardingsphere: Regarding routing to multiple 
data nodes, when querying with aggregate functions (count, max, avg ...), how 
to deal with the total statistics of multiple tables?
URL: 
https://github.com/apache/incubator-shardingsphere/issues/4580#issuecomment-595028784
 
 
   > Group query/aggregation is supported by ShardingSphere.
   > 
   > In version 4.x, you can config precise algorithm for between statements.
   > 
   > > We need to discuss this pull request:
   > > 
   > > 1. For standard sharding strategy, user need config precise algorithm 
(for =, IN) and range algorithm (for BETWEEN AND, <, >,  >=, <=). If range 
algorithm absent, the SQL contains BETWEEN should query all data nodes. That is 
correct, because user know they do not config range algorithm explicitly;
   > > 2. For inline sharding strategy, user only can config precise algorithm 
via inline expression, and cannot config range algorithm. So throw exception 
when SQL contains BETWEEN may better than query all data nodes. If query all 
data nodes instead of explicit exception, user may missing the potential 
performance issue.
   > 
   > In version 5.x of master branch(not release yet), you can directly config 
the follow parameter in server.yaml to allow between statement query in inline 
sharding.
   > 
   > > allow.range.query.with.inline.sharding: true
   
   Ok thank you, the problem has been solved.
   I use version 4.0.0 Implements the doSharding method provided by 
RangeShardingAlgorithm.class.
   However, some minor problems were found during use (not affecting my use), 
the following
   1. ROUND(AVG(column),2)  With function nesting,When routing multiple data 
nodes for queries, the results (multiple results) of the respective tables are 
returned instead of a total stat.
   --
   2.The SQL [order by $ {param}] param written by mybatis's mapper.xml is not 
recognized, the specific error message is: bad SQL grammar []; nested exception 
is java.sql.SQLException: No value specified for parameter x
   Thanks again

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