You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "zhengchenyu (Jira)" <ji...@apache.org> on 2021/07/15 09:11:00 UTC

[jira] [Created] (HIVE-25335) Unreasonable setting reduce number, when join big size table(but small row count) and small size table

zhengchenyu created HIVE-25335:
----------------------------------

             Summary: Unreasonable setting reduce number, when join big size table(but small row count) and small size table
                 Key: HIVE-25335
                 URL: https://issues.apache.org/jira/browse/HIVE-25335
             Project: Hive
          Issue Type: Improvement
            Reporter: zhengchenyu


I found an application which is slow in our cluster, because the proccess bytes of one reduce is very huge, but only two reduce. 
when I debug, I found the reason. Because in this sql, one big size table (about 30G) with few row count(about 3.5M), another small size table (about 100M) have more row count (about 3.6M). So JoinStatsRule.process only use 100M to estimate reducer's number. But we need to  process 30G byte in fact.  



--
This message was sent by Atlassian Jira
(v8.3.4#803005)