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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19729) Strange behaviour with reading csv with schema into dataframe
Date Tue, 28 Feb 2017 23:29:45 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Hyukjin Kwon resolved SPARK-19729.
----------------------------------
    Resolution: Invalid

I am resolving this as {{Invalid}}. Please reopen this if I was wrong with updating the JIRA
description. I could not see what is a problem here.

> Strange behaviour with reading csv with schema into dataframe
> -------------------------------------------------------------
>
>                 Key: SPARK-19729
>                 URL: https://issues.apache.org/jira/browse/SPARK-19729
>             Project: Spark
>          Issue Type: Bug
>          Components: Java API, SQL
>    Affects Versions: 2.0.1
>            Reporter: Mazen Melouk
>
> I have the following schema
> [{first,string_type,false}
> ,{second,string_type,false}
> ,{third,string_type,false}
> ,{fourth,string_type,false}]
> Example lines:
> var1,var2,,
> when accessing the row I get the following
> row.size =4
> row.fieldIndex(third_string)=2
> row.getAs(third_string)=var2
> row.get(2)=var2
> print(row)= var1,var2
> Any idea why the null values are missing?



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