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https://issues.apache.org/jira/browse/SPARK-20586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16261393#comment-16261393
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Bago Amirbekian commented on SPARK-20586:
-----------------------------------------
Also a follow up questions, are the performance implications to using the
`deterministic` flag we should try and avoid by restructuring the ml UDFs to
avoid raising within the UDF.
> Add deterministic to ScalaUDF
> -----------------------------
>
> Key: SPARK-20586
> URL: https://issues.apache.org/jira/browse/SPARK-20586
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Fix For: 2.3.0
>
>
> https://hive.apache.org/javadocs/r2.0.1/api/org/apache/hadoop/hive/ql/udf/UDFType.html
> Like Hive UDFType, we should allow users to add the extra flags for ScalaUDF
> too. {{stateful}}/{{impliesOrder}} are not applicable to ScalaUDF. Thus, we
> only add the following two flags.
> - deterministic: Certain optimizations should not be applied if UDF is not
> deterministic. Deterministic UDF returns same result each time it is invoked
> with a particular input. This determinism just needs to hold within the
> context of a query.
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