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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2016/11/08 19:33:58 UTC

[jira] [Created] (SPARK-18362) Use TextFileFormat in implementation of JsonFileFormat and CSVFileFormat

Josh Rosen created SPARK-18362:
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             Summary: Use TextFileFormat in implementation of JsonFileFormat and CSVFileFormat
                 Key: SPARK-18362
                 URL: https://issues.apache.org/jira/browse/SPARK-18362
             Project: Spark
          Issue Type: Improvement
          Components: SQL
            Reporter: Josh Rosen
            Assignee: Josh Rosen


Spark's CSVFileFormat and JsonFileFormat data sources use inefficient methods for reading files during schema inference and do 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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