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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/06/20 05:01:00 UTC

[jira] [Updated] (SPARK-27761) Make UDF nondeterministic by default

     [ https://issues.apache.org/jira/browse/SPARK-27761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-27761:
---------------------------------
    Summary: Make UDF nondeterministic by default  (was: Make UDF nondeterministic by default(?))

> 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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