I found the document here

https://apacheignite-sql.readme.io/docs/select


*SELECT queries can be executed against both replicated and partitioned
data. When executed against fully replicated data, Ignite will send a query
it to a single cluster node and run it over the local data there. On the
other hand, if a query is executed over partitioned data, then the execution
flow will be the following: The query will be parsed and split into multiple
map queries and a single reduce query. All the map queries are executed on
all the nodes where required data resides. All the nodes provide result sets
of local execution to the query initiator (reducer) that, in turn, will
accomplish the reduce phase by properly merging provided result sets.*


Seems for replicated data, it always executes on a single node. then in this
case is there a way to speed up the query by let all the nodes runs in
parellel?



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