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@Imbruced Imbruced commented Jan 18, 2026

Did you read the Contributor Guide?

Is this PR related to a ticket?

  • Yes, and the PR name follows the format [SEDONA-738] my subject.

What changes were proposed in this PR?

Sedona vectorized udf (Apache Arrow exchange), which is utilizing the SedonaDB. It supports:

  • scalar functions
  • daemon mode

How was this patch tested?

unit tests

Did this PR include necessary documentation updates?

TODO

@github-actions github-actions bot added sedona-python sedona-spark github_actions Pull requests that update GitHub Actions code root labels Jan 18, 2026
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image

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Working on proper benchmarking

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Items on the list are the extensions to the Sedona DB vectorized UDFs:

  • support for Spark 4.0
  • vectorized table functions (Sedona DB, table object would be an input to the function)
  • implementing additional serialization method in SedonaDB to reduce the amount of transformation for table functions
  • aggregate functions?
  • adding geopandas as other method

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