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https://issues.apache.org/jira/browse/SPARK-51162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk updated SPARK-51162:
-----------------------------
    Description: 
*Q1. What are you trying to do? Articulate your objectives using absolutely no 
jargon.*

Add new data type *TIME* to Spark SQL which represents a time value with fields 
hour, minute, second, up to microseconds. All operations over the type are 
performed without taking any time zone into account. New data type should 
conform to the type *TIME\(n\) WITHOUT TIME ZONE* defined by the SQL standard.

*Q3. How is it done today, and what are the limits of current practice?*

The TIME type can be emulated via the TIMESTAMP_NTZ data type by setting the 
date part to the some constant value like 1970-01-01, 0001-01-01 or 0000-00-00 
(though this is out of supported rage of dates).
 

  was:
*Q1. What are you trying to do? Articulate your objectives using absolutely no 
jargon.*

Add new data type *TIME* to Spark SQL which represents a time value with fields 
hour, minute, second, up to microseconds. All operations over the type are 
performed without taking any time zone into account. New data type should 
conform to the type *TIME(n) WITHOUT TIME ZONE* defined by the SQL standard.

*Q3. How is it done today, and what are the limits of current practice?*

The TIME type can be emulated via the TIMESTAMP_NTZ data type by setting the 
date part to the some constant value like 1970-01-01, 0001-01-01 or 0000-00-00 
(though this is out of supported rage of dates).
 


> [WIP] SPIP: Add the TIME data type
> ----------------------------------
>
>                 Key: SPARK-51162
>                 URL: https://issues.apache.org/jira/browse/SPARK-51162
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Max Gekk
>            Assignee: Max Gekk
>            Priority: Major
>              Labels: SPIP
>
> *Q1. What are you trying to do? Articulate your objectives using absolutely 
> no jargon.*
> Add new data type *TIME* to Spark SQL which represents a time value with 
> fields hour, minute, second, up to microseconds. All operations over the type 
> are performed without taking any time zone into account. New data type should 
> conform to the type *TIME\(n\) WITHOUT TIME ZONE* defined by the SQL standard.
> *Q3. How is it done today, and what are the limits of current practice?*
> The TIME type can be emulated via the TIMESTAMP_NTZ data type by setting the 
> date part to the some constant value like 1970-01-01, 0001-01-01 or 
> 0000-00-00 (though this is out of supported rage of dates).
>  



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