[jira] [Assigned] (SPARK-24378) Incorrect examples for date_trunc function in spark 2.3.0

2018-05-24 Thread Hyukjin Kwon (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-24378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-24378:


Assignee: Yuming Wang

> Incorrect examples for date_trunc function in spark 2.3.0
> -
>
> Key: SPARK-24378
> URL: https://issues.apache.org/jira/browse/SPARK-24378
> Project: Spark
>  Issue Type: Bug
>  Components: Documentation
>Affects Versions: 2.3.0
>Reporter: Prakhar Gupta
>Assignee: Yuming Wang
>Priority: Major
>
> Within Spark documentation for spark 2.3.0, Listed examples are incorrect.
> date_trunc(fmt, ts) - Returns timestamp {{ts}} truncated to the unit 
> specified by the format model {{fmt}}. {{fmt}} should be one of ["YEAR", 
> "", "YY", "MON", "MONTH", "MM", "DAY", "DD", "HOUR", "MINUTE", "SECOND", 
> "WEEK", "QUARTER"]
> *Examples:*
> {{> SELECT date_trunc('2015-03-05T09:32:05.359', 'YEAR'); 2015-01-01T00:00:00 
> > SELECT date_trunc('2015-03-05T09:32:05.359', 'MM'); 2015-03-01T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'DD'); 2015-03-05T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'HOUR'); 2015-03-05T09:00:00 }}
>  
> {{Examples should be date_trunc(format, value)}}
> {{SELECT date_trunc('YEAR','2015-03-05T09:32:05.359'); }}
>  



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[jira] [Assigned] (SPARK-24378) Incorrect examples for date_trunc function in spark 2.3.0

2018-05-24 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-24378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-24378:


Assignee: Apache Spark

> Incorrect examples for date_trunc function in spark 2.3.0
> -
>
> Key: SPARK-24378
> URL: https://issues.apache.org/jira/browse/SPARK-24378
> Project: Spark
>  Issue Type: Bug
>  Components: Documentation
>Affects Versions: 2.3.0
>Reporter: Prakhar Gupta
>Assignee: Apache Spark
>Priority: Major
> Fix For: 2.3.0
>
>
> Within Spark documentation for spark 2.3.0, Listed examples are incorrect.
> date_trunc(fmt, ts) - Returns timestamp {{ts}} truncated to the unit 
> specified by the format model {{fmt}}. {{fmt}} should be one of ["YEAR", 
> "", "YY", "MON", "MONTH", "MM", "DAY", "DD", "HOUR", "MINUTE", "SECOND", 
> "WEEK", "QUARTER"]
> *Examples:*
> {{> SELECT date_trunc('2015-03-05T09:32:05.359', 'YEAR'); 2015-01-01T00:00:00 
> > SELECT date_trunc('2015-03-05T09:32:05.359', 'MM'); 2015-03-01T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'DD'); 2015-03-05T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'HOUR'); 2015-03-05T09:00:00 }}
>  
> {{Examples should be date_trunc(format, value)}}
> {{SELECT date_trunc('YEAR','2015-03-05T09:32:05.359'); }}
>  



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[jira] [Assigned] (SPARK-24378) Incorrect examples for date_trunc function in spark 2.3.0

2018-05-24 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-24378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-24378:


Assignee: (was: Apache Spark)

> Incorrect examples for date_trunc function in spark 2.3.0
> -
>
> Key: SPARK-24378
> URL: https://issues.apache.org/jira/browse/SPARK-24378
> Project: Spark
>  Issue Type: Bug
>  Components: Documentation
>Affects Versions: 2.3.0
>Reporter: Prakhar Gupta
>Priority: Major
> Fix For: 2.3.0
>
>
> Within Spark documentation for spark 2.3.0, Listed examples are incorrect.
> date_trunc(fmt, ts) - Returns timestamp {{ts}} truncated to the unit 
> specified by the format model {{fmt}}. {{fmt}} should be one of ["YEAR", 
> "", "YY", "MON", "MONTH", "MM", "DAY", "DD", "HOUR", "MINUTE", "SECOND", 
> "WEEK", "QUARTER"]
> *Examples:*
> {{> SELECT date_trunc('2015-03-05T09:32:05.359', 'YEAR'); 2015-01-01T00:00:00 
> > SELECT date_trunc('2015-03-05T09:32:05.359', 'MM'); 2015-03-01T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'DD'); 2015-03-05T00:00:00 > 
> SELECT date_trunc('2015-03-05T09:32:05.359', 'HOUR'); 2015-03-05T09:00:00 }}
>  
> {{Examples should be date_trunc(format, value)}}
> {{SELECT date_trunc('YEAR','2015-03-05T09:32:05.359'); }}
>  



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