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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/06/26 07:27:00 UTC

[jira] [Work logged] (HIVE-25292) to_unix_timestamp & unix_timestamp should support ENGLISH format by default

     [ https://issues.apache.org/jira/browse/HIVE-25292?focusedWorklogId=615289&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-615289 ]

ASF GitHub Bot logged work on HIVE-25292:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 26/Jun/21 07:26
            Start Date: 26/Jun/21 07:26
    Worklog Time Spent: 10m 
      Work Description: shezhiming opened a new pull request #2433:
URL: https://github.com/apache/hive/pull/2433


   …H format by default
   
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   update to_unix_timestamp function, Now where the locale of the machine is not in English, the following sql can also return the result correctly:
   ```
   select to_unix_timestamp('16/Mar/2017:12:25:01 +0800','dd/MMM/yyy:HH:mm:ss Z'); 
   ```
   
   ### Why are the changes needed?
   <!--
   Please clarify why the changes are needed. For instance,
     1. If you propose a new API, clarify the use case for a new API.
     2. If you fix a bug, you can clarify why it is a bug.
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   English date is a more common usage, if there is no such patch, in the local non-English environment, the following usage, to_unix_timestamp function will return NULL
   
   ```
   hive> select to_unix_timestamp('16/Mar/2017:12:25:01','dd/MMM/yyy:HH:mm:ss');
   OK
   NULL
   ```
   
   ### Does this PR introduce _any_ user-facing change?
   <!--
   Note that it means *any* user-facing change including all aspects such as the documentation fix.
   If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description, screenshot and/or a reproducable example to show the behavior difference if possible.
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   No
   
   ### How was this patch tested?
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   To run hive in a non-English environment, the simpler way can use the jvm parameter
   
   ```
   -Duser.country=cn -Duser.language=zh
   ```
   
   Then run the following sql statement to test, if the timestamp is returned, it is correct.
   


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Issue Time Tracking
-------------------

            Worklog Id:     (was: 615289)
    Remaining Estimate: 0h
            Time Spent: 10m

> to_unix_timestamp & unix_timestamp should support ENGLISH format by default
> ---------------------------------------------------------------------------
>
>                 Key: HIVE-25292
>                 URL: https://issues.apache.org/jira/browse/HIVE-25292
>             Project: Hive
>          Issue Type: Improvement
>          Components: Clients
>            Reporter: shezm
>            Assignee: shezm
>            Priority: Major
>             Fix For: 3.2.0
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Hei
> The to_unix_timestamp function is implemented by GenericUDFToUnixTimeStamp. It uses SimpleDateFormat to parse the time of the string type.
> But SimpleDateFormat does not specify the Locale parameter, that is, the default locale of the jvm machine will be used. This will cause some non-English local machines to be unable to run similar sql like :
>  
> {code:java}
> hive> select to_unix_timestamp('16/Mar/2017:12:25:01', 'dd/MMM/yyy:HH:mm:ss');
> OK
> NULL
> hive> select unix_timestamp('16/Mar/2017:12:25:01', 'dd/MMM/yyy:HH:mm:ss');
> OK
> NULL
> {code}
>  
> At the same time, I found that in spark, to_unix_timestamp & unix_timestamp also use SimpleDateFormat, and spark uses Locale.US by default, but this will make it impossible to use local language syntax. For example, in the Chinese environment, I can parse this result correctly in hive,
>  
> {code:java}
> hive> select to_unix_timestamp('16/三月/2017:12:25:01', 'dd/MMMM/yyy:HH:mm:ss');
> OK
> 1489638301
> Time taken: 0.147 seconds, Fetched: 1 row(s)
> OK
> {code}
> But spark will return Null.
> Because English dates are more common dates, I think two SimpleDateFormats are needed. The new SimpleDateFormat is initialized with the Locale.ENGLISH parameter.
>  



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