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Posted to issues@carbondata.apache.org by "dhatchayani (JIRA)" <ji...@apache.org> on 2018/11/16 14:59:01 UTC

[jira] [Updated] (CARBONDATA-3096) Wrong records size on the input metrics

     [ https://issues.apache.org/jira/browse/CARBONDATA-3096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

dhatchayani updated CARBONDATA-3096:
------------------------------------
    Description: 
(1) Scanned record result size is taking from the default batch size. It should be taken from the records scanned.
h1. +*Steps to reproduce:*+

spark.sql("DROP TABLE IF EXISTS person")
 spark.sql("create table person (id int, name string) stored by 'carbondata'")
 spark.sql("insert into person select 1,'a'")
 spark.sql("select * from person").show(false)

!3096.PNG!

 

(2) The intermediate page used to sort in adaptive encoding should be freed.

  was:
(1) Scanned record result size is taking from the default batch size. It should be taken from the records scanned.

Steps to reproduce:

spark.sql("DROP TABLE IF EXISTS person")
 spark.sql("create table person (id int, name string) stored by 'carbondata'")
 spark.sql("insert into person select 1,'a'")
 spark.sql("select * from person").show(false)

!3096.PNG!

 

(2) The intermediate page used to sort in adaptive encoding should be freed.


> Wrong records size on the input metrics
> ---------------------------------------
>
>                 Key: CARBONDATA-3096
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-3096
>             Project: CarbonData
>          Issue Type: Bug
>            Reporter: dhatchayani
>            Assignee: dhatchayani
>            Priority: Minor
>         Attachments: 3096.PNG
>
>          Time Spent: 9h 20m
>  Remaining Estimate: 0h
>
> (1) Scanned record result size is taking from the default batch size. It should be taken from the records scanned.
> h1. +*Steps to reproduce:*+
> spark.sql("DROP TABLE IF EXISTS person")
>  spark.sql("create table person (id int, name string) stored by 'carbondata'")
>  spark.sql("insert into person select 1,'a'")
>  spark.sql("select * from person").show(false)
> !3096.PNG!
>  
> (2) The intermediate page used to sort in adaptive encoding should be freed.



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