Github user shaolinliu commented on the issue: https://github.com/apache/spark/pull/17581 My opinion is: In the production, the user often select without a limit, often lead to service offline,this is a general situation, so increase the parameters. When SQLConf.THRIFTSERVER_INCREMENTAL_COLLECT is open, the process is : beeline[get] -> hs2[get] -> executor[ret] -> hs2[ret] ->beeline[ret] .... and in the process,the executor's resource is occupied, and when it it close,the process is: beeline[get] -> hs2[collect] -> beeline[ret]. similar to the redis's pipeline to enhance performance, and reducing the time will reduce resources too.
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