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

2016-10-09 Thread Hyukjin Kwon (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-10501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559405#comment-15559405
 ] 

Hyukjin Kwon commented on SPARK-10501:
--

Ah, it was type not the function. I just rushed the JIRA. Thanks for correcting.

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

2016-10-08 Thread Russell Spitzer (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-10501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15559271#comment-15559271
 ] 

Russell Spitzer commented on SPARK-10501:
-

It's not that we need it as a unique identifier. It's already a datatype in the 
Cassandra database but there is no direct translation to a spark sql type so a 
conversion to string must be done. In addition TimeUUIDs require a custom 
non-bytewise comparator so a greater than or less than lexical comparison of 
them is always incorrect. 

https://datastax-oss.atlassian.net/browse/SPARKC-405

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

2016-10-08 Thread Hyukjin Kwon (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-10501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15557820#comment-15557820
 ] 

Hyukjin Kwon commented on SPARK-10501:
--

Can we use {{monotonically_increasing_id}} instead?

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

2015-09-10 Thread Alex Liu (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-10501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739228#comment-14739228
 ] 

Alex Liu commented on SPARK-10501:
--

Cassandra has InetAddress and BigInteger types. Can we add those as internal 
type as well?

> 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
>
> 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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