[jira] [Created] (SPARK-25134) Csv column pruning with checking of headers throws incorrect error

["koert kuipers (JIRA)" <ji...@apache.org>]

koert kuipers created SPARK-25134:
-------------------------------------

             Summary: Csv column pruning with checking of headers throws incorrect error
                 Key: SPARK-25134
                 URL: https://issues.apache.org/jira/browse/SPARK-25134
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.1
         Environment: spark master branch at a791c29bd824adadfb2d85594bc8dad4424df936
            Reporter: koert kuipers


hello!
seems to me there is some interaction between csv column pruning and the checking of csv headers that is causing issues. for example this fails:
{code:scala}
Seq(("a", "b")).toDF("columnA", "columnB").write
  .format("csv")
  .option("header", true)
  .save(dir)
spark.read
  .format("csv")
  .option("header", true)
  .option("enforceSchema", false)
  .load(dir)
  .select("columnA")
  .show
{code}

the error is:
{code:bash}
291.0 (TID 319, localhost, executor driver): java.lang.IllegalArgumentException: Number of column in CSV header is not equal to number of fields in the schema:
[info]  Header length: 1, schema size: 2
{code}

if i remove the project it works fine. if i disable column pruning it also works fine.



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