[jira] [Updated] (PHOENIX-3560) Aggregate query performance is worse with encoded columns for schema with large number of columns

["Mujtaba Chohan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/PHOENIX-3560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mujtaba Chohan updated PHOENIX-3560:
------------------------------------
    Summary: Aggregate query performance is worse with encoded columns for schema with large number of columns  (was: Aggregate query performance is worse with encoded columns for large number of columns)

> Aggregate query performance is worse with encoded columns for schema with large number of columns
> -------------------------------------------------------------------------------------------------
>
>                 Key: PHOENIX-3560
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3560
>             Project: Phoenix
>          Issue Type: Sub-task
>            Reporter: Mujtaba Chohan
>            Assignee: Samarth Jain
>             Fix For: 4.10.0
>
>
> Schema with 5K columns
> {noformat}
> create table (k1 integer, k2 integer, c1 varchar ... c5000 varchar CONSTRAINT PK PRIMARY KEY (K1, K2)) 
> VERSIONS=1, MULTI_TENANT=true, IMMUTABLE_ROWS=true
> {noformat}
> In this test, there are no null columns and each column contains 200 chars i.e. 1MB of data per row.
> Count * aggregation is about 5X slower with encoded columns when compared to table non-encoded columns using the same schema.



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