[GitHub] [arrow] westonpace opened a new issue, #33883: [Python] Adopt a more pythonic method for UDF registration

["westonpace (via GitHub)" <gi...@apache.org>]

westonpace opened a new issue, #33883:
URL: https://github.com/apache/arrow/issues/33883

   ### Describe the enhancement requested
   
   It's currently quite complicated to register a UDF.  In a recent PR we reviewed a few different suggestions.  We should adopt one of these.
   
   
   ### Component(s)
   
   Python


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[GitHub] [arrow] westonpace commented on issue #33883: [Python] Adopt a more pythonic method for UDF registration

["westonpace (via GitHub)" <gi...@apache.org>]

westonpace commented on issue #33883:
URL: https://github.com/apache/arrow/issues/33883#issuecomment-1405009345

   I think [this suggestion](https://github.com/apache/arrow/pull/14320#issuecomment-1372473478), from @pitrou , is rather compelling:
   
   ```
   udf = pc.register_scalar_function(
       name="y=x*2",
       arg_names=["x"],
       doc = {"summary": "multiply by two function",
              "description": "test multiply function"}
       )
   for in_type in [pa.int64(), pa.float64()]:
       udf.add_kernel([in_type], in_type, impl)
   
   udf = pc.register_scalar_function(
       name="y=x*2",
       arg_names=["x"],
       doc = {"summary": "multiply by two function",
              "description": "test multiply function"}
       )
   
   @udf.kernel([pa.float64()], pa.float64())
   @udf.kernel([pa.int64()], pa.int64())
   def impl(ctx, x):
       # ...
   ```


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