Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14638
@HyukjinKwon yea for Hive this feature is useful, as the only workaround is
running a ETL program to remove the headers manually. However, in Spark SQL,
our CSV data source already support skipping header lines, the problem is
external hive serde table, and users can easily work around it by creating an
external data source table on the CSV files.
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