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  1. Spark
  2. SPARK-18362

Use TextFileFormat in implementation of CSVFileFormat

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.2.0
    • Component/s: SQL
    • Labels:
      None
    • Target Version/s:

      Description

      Spark's CSVFileFormat data source uses inefficient methods for reading files during schema inference and does not benefit from file listing / IO performance improvements made in Spark 2.0. In order to fix this performance problem, we should re-implement those read paths in terms of TextFileFormat.

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            • Assignee:
              joshrosen Josh Rosen
              Reporter:
              joshrosen Josh Rosen
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              • Created:
                Updated:
                Resolved: