[ 
https://issues.apache.org/jira/browse/HIVE-12492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Gopal V updated HIVE-12492:
---------------------------
    Description: 
After 4 million keys, the map-join implementation seems to suffer from a 
performance degradation. 

The hashtable build & probe time makes this very inefficient, even if the data 
is very compact (i.e 2 ints).

Falling back onto the shuffle join or bucket map-join is useful after 2^22 
items.

(Note: this fixes a statsutil issue - due to the extra clone() in the column 
stats path)

  was:
After 4 million keys, the map-join implementation seems to suffer from a 
performance degradation. 

The hashtable build & probe time makes this very inefficient, even if the data 
is very compact (i.e 2 ints).

Falling back onto the shuffle join or bucket map-join is useful after 2^22 
items.


> MapJoin: 4 million unique integers seems to be a probe plateau
> --------------------------------------------------------------
>
>                 Key: HIVE-12492
>                 URL: https://issues.apache.org/jira/browse/HIVE-12492
>             Project: Hive
>          Issue Type: Improvement
>          Components: Query Planning
>    Affects Versions: 1.3.0, 1.2.1, 2.0.0
>            Reporter: Gopal V
>            Assignee: Jesus Camacho Rodriguez
>              Labels: TODOC2.2
>             Fix For: 2.2.0
>
>         Attachments: HIVE-12492.01.patch, HIVE-12492.02.patch, 
> HIVE-12492.patch
>
>
> After 4 million keys, the map-join implementation seems to suffer from a 
> performance degradation. 
> The hashtable build & probe time makes this very inefficient, even if the 
> data is very compact (i.e 2 ints).
> Falling back onto the shuffle join or bucket map-join is useful after 2^22 
> items.
> (Note: this fixes a statsutil issue - due to the extra clone() in the column 
> stats path)



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

Reply via email to