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From "Mujtaba Chohan (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (PHOENIX-3570) Data load gets 5-7X slower with mutable sparse columns
Date Fri, 06 Jan 2017 00:42:59 GMT

     [ https://issues.apache.org/jira/browse/PHOENIX-3570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Mujtaba Chohan resolved PHOENIX-3570.
-------------------------------------
    Resolution: Not A Problem

This is invalid. Batch size was different which caused in different upsert time per batch.


> Data load gets 5-7X slower with mutable sparse columns
> ------------------------------------------------------
>
>                 Key: PHOENIX-3570
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3570
>             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, column_1 varchar ... column_5000 varchar CONSTRAINT
PK PRIMARY KEY (K1, K2)) 
> VERSIONS=1, MULTI_TENANT=true, IMMUTABLE_ROWS=FALSE
> {noformat}
> In this *mutable* schema, only 100 random columns are filled with random 15 chars. Rest
are nulls.
> Using a batch size of 1000 with single client/single thread. Time it takes to load data
is 5-7X slower compared to standard non-encoded format.



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