killxdcj opened a new issue #7066:
URL: https://github.com/apache/incubator-doris/issues/7066


   ### Search before asking
   
   - [X] I had searched in the 
[issues](https://github.com/apache/incubator-doris/issues?q=is%3Aissue) and 
found no similar issues.
   
   
   ### Description
   
   When schedule ScanNode, the current strategy will schedule scannodes to as 
many backends as possible, which can efficiently utilize cluster resources and 
improve query performance.
   
   However, for high throughput point query scenarios, the current scheduling 
strategy has some problems
   1. Point query itself does not require many resources, so it is of little 
significance to mobilize all backends to serve query.
   2. The thundering herd will be serious, which will affect the query 
performance and query parallelism of the cluster
   3. It will increase the RPC and data interaction between backends, which 
will have a great impact on the performance
   
   Therefore, maybe we should support a new scheduling strategy for 
high-throughput point query scenarios, select as few backends as possible to 
serve query.
   
   ### Use case
   
   Suppose you have a table with many partitions, and the query scenario is 
high-throughput point query (each query will specify the distribute key)
   
   ### Related issues
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://www.apache.org/foundation/policies/conduct)
   


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