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https://issues.apache.org/jira/browse/HIVE-25292?focusedWorklogId=621358&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-621358
 ]

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

                Author: ASF GitHub Bot
            Created on: 11/Jul/21 10:15
            Start Date: 11/Jul/21 10:15
    Worklog Time Spent: 10m 
      Work Description: shezhiming opened a new pull request #2467:
URL: https://github.com/apache/hive/pull/2467


   …H format by default
   
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   ### What changes were proposed in this pull request?
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   create external table without schema will use db location's schema , instead 
of the metastore default fs.
   
   
   ### Why are the changes needed?
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   In some cases, there will be multiple hadoop namenodes, such as using hadoop 
federation or hadoop rbf.
   And if you create table without location, it will use db location as base 
location, this behavior is similar to that case.
   
   ### Does this PR introduce _any_ user-facing change?
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   yes , if user create external table without schema, it will use db location 
schema.
   
   
   
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   1. start metastore with hdfs nameservive (e.g. hdfs://cluster ) , than 
create a database with other schema. like
   ```
   create database myhive  location  'hdfs://testing/my/myhive.db'; 
   ```
   2. than in myhive , create a external table without schema , like
   ```
   CREATE EXTERNAL TABLE `user.test_tbl` (
   id string,
   name string
   )
   LOCATION '/user/data/test_tbl'
   ```
   3. show table location to check table location is : 
hdfs://testing/user/data/test_tbl
   


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

    Worklog Id:     (was: 621358)
    Time Spent: 20m  (was: 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
>              Labels: pull-request-available
>             Fix For: 3.2.0
>
>          Time Spent: 20m
>  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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