parthchandra opened a new issue, #7429:
URL: https://github.com/apache/datafusion-comet/issues/7429

   ### What is the problem the feature request solves?
   
   JSON sources (`FileSourceScanExec` with `JsonFileFormat`, and V2 `JsonScan`) 
are read by Spark. `spark.comet.convert.json.enabled` can convert Spark's rows 
to Arrow, but parsing still runs on the JVM.
   
   ### Describe the potential solution
   
   Add a native JSON scan that matches Spark's JSON reader:
   
   - user-supplied schema
   - `PERMISSIVE`, `DROPMALFORMED` and `FAILFAST` modes, and 
`columnNameOfCorruptRecord`
   - timestamp and date formats with the session timezone
   - multi-line JSON and compression codecs
   - fall back for the options it can't match
   
   ### Additional context
   
   Native `from_json` already exists (opt-in). It may share parsing code with 
the scan.
   


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