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