You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@phoenix.apache.org by "Samarth Jain (JIRA)" <ji...@apache.org> on 2017/03/24 00:11:41 UTC

[jira] [Resolved] (PHOENIX-3559) More disk space used with encoded column scheme with data in sparse columns

     [ https://issues.apache.org/jira/browse/PHOENIX-3559?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Samarth Jain resolved PHOENIX-3559.
-----------------------------------
    Resolution: Information Provided

> More disk space used with encoded column scheme with data in sparse columns
> ---------------------------------------------------------------------------
>
>                 Key: PHOENIX-3559
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3559
>             Project: Phoenix
>          Issue Type: Sub-task
>            Reporter: Mujtaba Chohan
>            Assignee: Samarth Jain
>             Fix For: 4.11.0
>
>
> 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 schema, only 100 random columns are filled with random 15 chars. Rest are nulls.
> Data size is *6X* larger with encoded columns scheme compare to non-encoded. That is 12GB/1M rows encoded vs ~2GB/1M rows non-encoded.
> When compressed GZ, size with encoded column scheme is still 35% higher.



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