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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:21:35 UTC

[jira] [Updated] (SPARK-10501) support UUID as an atomic type

     [ https://issues.apache.org/jira/browse/SPARK-10501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-10501:
---------------------------------
    Labels: bulk-closed  (was: )

> support UUID as an atomic type
> ------------------------------
>
>                 Key: SPARK-10501
>                 URL: https://issues.apache.org/jira/browse/SPARK-10501
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Jon Haddad
>            Priority: Minor
>              Labels: bulk-closed
>
> It's pretty common to use UUIDs instead of integers in order to avoid distributed counters.  
> I've added this, which at least lets me load dataframes that use UUIDs that I can cast to strings:
> {code}
> class UUIDType(AtomicType):
>     pass
> _type_mappings[UUID] = UUIDType
> _atomic_types.append(UUIDType)
> {code}
> But if I try to do anything else with the UUIDs, like this:
> {code}
> ratings.select("userid").distinct().collect()
> {code}
> I get this pile of fun: 
> {code}
> scala.MatchError: UUIDType (of class org.apache.spark.sql.cassandra.types.UUIDType$)
> {code}



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