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Posted to issues@spark.apache.org by "Dhiren Navani (Jira)" <ji...@apache.org> on 2021/10/31 21:13:00 UTC
[jira] [Resolved] (SPARK-37171) Addition of forany and forall
semantics to Spark Dataframes
[ https://issues.apache.org/jira/browse/SPARK-37171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dhiren Navani resolved SPARK-37171.
-----------------------------------
Resolution: Won't Fix
> Addition of forany and forall semantics to Spark Dataframes
> -----------------------------------------------------------
>
> Key: SPARK-37171
> URL: https://issues.apache.org/jira/browse/SPARK-37171
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Dhiren Navani
> Priority: Minor
>
> Spark dataframes currently do not have semantics of forany and forall.
> Scala collections do have these semantics.
> It would be nice to have them as an API as there is potential for implementing them in unoptimized form.
>
> E.g. forany might be implemented as df.filter(<condition>).count > 0, which is not optimal
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