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Posted to issues@spark.apache.org by "Sunitha Kambhampati (JIRA)" <ji...@apache.org> on 2019/05/17 18:07:00 UTC

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

Sunitha Kambhampati created SPARK-27761:
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             Summary: 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


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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