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Posted to dev@phoenix.apache.org by "Mujtaba Chohan (JIRA)" <ji...@apache.org> on 2017/01/05 19:45:59 UTC

[jira] [Created] (PHOENIX-3570) Data load gets 5-7X slower with mutable sparse columns

Mujtaba Chohan created PHOENIX-3570:
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             Summary: 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


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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