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

["James Taylor (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/PHOENIX-3559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15898146#comment-15898146 ] 

James Taylor commented on PHOENIX-3559:
---------------------------------------

[~mujtabachohan] - is this essentially an issue that will be covered by documentation on when to use the column encoding feature?

> 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
>             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 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)