shrirangmhalgi commented on PR #56310:
URL: https://github.com/apache/spark/pull/56310#issuecomment-4620335879

   The existing `levenshtein()` function is exposed in both `functions.scala` 
(Scala/Java DataFrame API) and `pyspark.sql.functions` (PySpark API), in 
addition to the SQL registration. This PR only registers 
`jaro_winkler_similarity` in `FunctionRegistry` - so it's accessible via SQL 
but not via `df.select(jaro_winkler_similarity(...))` in Scala or 
`F.jaro_winkler_similarity(...)` in PySpark. 
   
   Is the DataFrame API planned as a follow-up, or should it be included here 
for consistency?


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