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  1. Spark
  2. SPARK-19729

Strange behaviour with reading csv with schema into dataframe

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Invalid
    • 2.0.1
    • None
    • Java API, SQL
    • None

    Description

      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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            Unassigned Unassigned Assign to me
            mazenmelouk Mazen Melouk
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              Created:
              Updated:
              Resolved:

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