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https://issues.apache.org/jira/browse/SPARK-28264?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16893209#comment-16893209
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Bryan Cutler commented on SPARK-28264:
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It's great to be taking another look at this, I think some aspects are really
confusing. I left some comments in the doc, but to sum it up I think anything
we can do to reduce the number of arguments and options will make it more user
friendly. I worry that while replacing the pandas udf types with other options
would make things more flexible, I'm not sure it makes it any easier to
understand.
> Revisiting Python / pandas UDF
> ------------------------------
>
> Key: SPARK-28264
> URL: https://issues.apache.org/jira/browse/SPARK-28264
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Reynold Xin
> Assignee: Reynold Xin
> Priority: Major
>
> In the past two years, the pandas UDFs are perhaps the most important changes
> to Spark for Python data science. However, these functionalities have evolved
> organically, leading to some inconsistencies and confusions among users. This
> document revisits UDF definition and naming, as a result of discussions among
> Xiangrui, Li Jin, Hyukjin, and Reynold.
>
> See document here:
> [https://docs.google.com/document/d/10Pkl-rqygGao2xQf6sddt0b-4FYK4g8qr_bXLKTL65A/edit#|https://docs.google.com/document/d/10Pkl-rqygGao2xQf6sddt0b-4FYK4g8qr_bXLKTL65A/edit]
>
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