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https://issues.apache.org/jira/browse/SPARK-27761?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16844396#comment-16844396
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Kazuaki Ishizaki commented on SPARK-27761:
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IMHO, it looks good. It is fine for UDF writers to keep current default
behavior.
> Make UDF nondeterministic by default(?)
> ---------------------------------------
>
> Key: SPARK-27761
> URL: https://issues.apache.org/jira/browse/SPARK-27761
> Project: Spark
> Issue Type: Brainstorming
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Sunitha Kambhampati
> Priority: Minor
>
> Opening this issue as a followup from a discussion/question on this PR for an
> optimization involving deterministic udf:
> https://github.com/apache/spark/pull/24593#pullrequestreview-237361795
> "We even should discuss whether all UDFs must be deterministic or
> non-deterministic by default."
> Basically today in Spark 2.4, Scala UDFs are marked deterministic by default
> and it is implicit. To mark a udf as non deterministic, they need to call
> this method asNondeterministic().
> The concern's expressed are that users are not aware of this property and its
> implications.
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