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From "Ann Dominic (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-3299) UDF DAYNAME(date) to HIVE
Date Wed, 06 Feb 2013 13:53:15 GMT

     [ https://issues.apache.org/jira/browse/HIVE-3299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ann Dominic updated HIVE-3299:
------------------------------

    Attachment: HIVE-3299.patch.txt
    
> UDF  DAYNAME(date) to HIVE 
> ---------------------------
>
>                 Key: HIVE-3299
>                 URL: https://issues.apache.org/jira/browse/HIVE-3299
>             Project: Hive
>          Issue Type: New Feature
>          Components: UDF
>    Affects Versions: 0.9.0
>            Reporter: Namitha Babychan
>            Assignee: Carl Steinbach
>              Labels: patch
>         Attachments: HIVE-3299.1.patch.txt, HIVE-3299.patch.txt, Hive-3299_Testcase.doc,
udf_dayname.q, udf_dayname.q.out
>
>
> Current releases of Hive lacks a function which would return the day name corresponding
to a date / timestamp value which might be a part of a column.   
> The function -DAYNAME (date) would return the day name from a date / timestamp or column
which would be useful while using HiveQL. This would find its use  in various business sectors
like retail, which would help in  identifying the trends and sales datails for a particular
weekday for entire year,month or week.
> Functionality :-
> Function Name: DAYNAME (date)
> 	 
> Returns the name of the weekday for date. 
> Example: hive> SELECT DAYNAME('2012-07-25');
>                    -> 'Wednesday'
> Usage :-
> Case 1 : To find DAY NAME corresponding to a particular date 
> hive> SELECT DAYNAME('2012-07-25');
>                    -> 'Wednesday'
> Case 2 : To query a table to find details based on a particular day name
> Table :-
> date      |item id|store id    |value|unit|price
> 01/07/2012|110001|0011111111003|0.99|1.00|0.99
> 02/07/2012|110001|0011111111008|0.99|0.00|0.00
> 03/07/2012|110001|0011111111009|0.99|0.00|0.00
> 04/07/2012|110001|0011111112002|0.99|0.00|0.00
> 05/07/2012|110001|0011111112003|0.99|0.00|0.00
> 06/07/2012|110001|0011111112006|0.99|1.00|0.99
> 07/07/2012|110001|0011111112007|0.99|0.00|0.00
> 08/07/2012|110001|0011111112008|0.99|0.00|0.00
> 09/07/2012|110001|0011111112009|0.99|0.00|0.00
> 10/07/2012|110001|0011111112010|0.99|0.00|0.00
> 11/07/2012|110001|0011111113003|0.99|0.00|0.00
> 12/07/2012|110001|0011111113006|0.99|0.00|0.00
> 13/07/2012|110001|0011111113008|0.99|0.00|0.00
> 14/07/2012|110001|0011111113010|0.99|0.00|0.00
> 15/07/2012|110001|0011111114002|0.99|0.00|0.00
> 16/07/2012|110001|0011111114004|0.99|1.00|0.99
> 17/07/2012|110001|0011111114005|0.99|0.00|0.00
> 18/07/2012|110001|0011111121004|0.99|0.00|0.00
> Query : select * from sales where dayname(date)='wednesday';
> Result :-
> 04/07/2012|110001|0011111112002|0.99|0.00|0.00
> 11/07/2012|110001|0011111113003|0.99|0.00|0.00
> 18/07/2012|110001|0011111121004|0.99|0.00|0.00

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