[
https://issues.apache.org/jira/browse/PHOENIX-3570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mujtaba Chohan updated PHOENIX-3570:
------------------------------------
Assignee: Samarth Jain
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
