[jira] [Created] (SPARK-19729) Strange behaviour with reading csv with schema into dataframe

["Mazen Melouk (JIRA)" <ji...@apache.org>]

Mazen Melouk created SPARK-19729:
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             Summary: 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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