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https://issues.apache.org/jira/browse/PHOENIX-5066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17633596#comment-17633596
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ASF GitHub Bot commented on PHOENIX-5066:
-----------------------------------------

dbwong commented on PR #1504:
URL: https://github.com/apache/phoenix/pull/1504#issuecomment-1313278023

   I had a high level question on your approach.  Your email used thread local 
variable for somewhat global access, i worry if our execution engine becomes 
more multi threaded you will have to copy this to all the threads and become 
more and more cumbersome.  I'm hesitant of such patterns for things that are 
not semaphore like.  I assume the resistance in the code is from our lack of 
structure and not wanting to pass a parameter everywhere.  I think another 
approach is possible with a provider pattern given the connection and some jvm 
level singleton map.  Did you consider this approach?




> The TimeZone is incorrectly used during writing or reading data
> ---------------------------------------------------------------
>
>                 Key: PHOENIX-5066
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-5066
>             Project: Phoenix
>          Issue Type: Bug
>    Affects Versions: 5.0.0, 4.14.1
>            Reporter: Jaanai Zhang
>            Assignee: Istvan Toth
>            Priority: Critical
>             Fix For: 5.3.0
>
>         Attachments: DateTest.java, PHOENIX-5066.4x.v1.patch, 
> PHOENIX-5066.4x.v2.patch, PHOENIX-5066.4x.v3.patch, 
> PHOENIX-5066.master.v1.patch, PHOENIX-5066.master.v2.patch, 
> PHOENIX-5066.master.v3.patch, PHOENIX-5066.master.v4.patch, 
> PHOENIX-5066.master.v5.patch, PHOENIX-5066.master.v6.patch
>
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> We have two methods to write data when uses JDBC API.
> #1. Uses _the exceuteUpdate_ method to execute a string that is an upsert SQL.
> #2. Uses the _prepareStatement_ method to set some objects and execute.
> The _string_ data needs to convert to a new object by the schema information 
> of tables. we'll use some date formatters to convert string data to object 
> for Date/Time/Timestamp types when writes data and the formatters are used 
> when reads data as well.
>  
> *Uses default timezone test*
>  Writing 3 records by the different ways.
> {code:java}
> UPSERT INTO date_test VALUES (1,'2018-12-10 15:40:47','2018-12-10 
> 15:40:47','2018-12-10 15:40:47') 
> UPSERT INTO date_test VALUES (2,to_date('2018-12-10 
> 15:40:47'),to_time('2018-12-10 15:40:47'),to_timestamp('2018-12-10 15:40:47'))
> stmt.setInt(1, 3);stmt.setDate(2, date);stmt.setTime(3, 
> time);stmt.setTimestamp(4, ts);
> {code}
> Reading the table by the getObject(getDate/getTime/getTimestamp) methods.
> {code:java}
> 1 | 2018-12-10 | 23:45:07 | 2018-12-10 23:45:07.0 
> 2 | 2018-12-10 | 23:45:07 | 2018-12-10 23:45:07.0 
> 3 | 2018-12-10 | 15:45:07 | 2018-12-10 15:45:07.66 
> {code}
> Reading the table by the getString methods 
> {code:java}
> 1 | 2018-12-10 15:45:07.000 | 2018-12-10 15:45:07.000 | 2018-12-10 
> 15:45:07.000 
> 2 | 2018-12-10 15:45:07.000 | 2018-12-10 15:45:07.000 | 2018-12-10 
> 15:45:07.000 
> 3 | 2018-12-10 07:45:07.660 | 2018-12-10 07:45:07.660 | 2018-12-10 
> 07:45:07.660
> {code}
>  *Uses GMT+8 test*
>  Writing 3 records by the different ways.
> {code:java}
> UPSERT INTO date_test VALUES (1,'2018-12-10 15:40:47','2018-12-10 
> 15:40:47','2018-12-10 15:40:47')
> UPSERT INTO date_test VALUES (2,to_date('2018-12-10 
> 15:40:47'),to_time('2018-12-10 15:40:47'),to_timestamp('2018-12-10 15:40:47'))
> stmt.setInt(1, 3);stmt.setDate(2, date);stmt.setTime(3, 
> time);stmt.setTimestamp(4, ts);
> {code}
> Reading the table by the getObject(getDate/getTime/getTimestamp) methods.
> {code:java}
> 1 | 2018-12-10 | 23:40:47 | 2018-12-10 23:40:47.0 
> 2 | 2018-12-10 | 15:40:47 | 2018-12-10 15:40:47.0 
> 3 | 2018-12-10 | 15:40:47 | 2018-12-10 15:40:47.106 {code}
> Reading the table by the getString methods
> {code:java}
>  1 | 2018-12-10 23:40:47.000 | 2018-12-10 23:40:47.000 | 2018-12-10 
> 23:40:47.000
> 2 | 2018-12-10 15:40:47.000 | 2018-12-10 15:40:47.000 | 2018-12-10 
> 15:40:47.000
> 3 | 2018-12-10 15:40:47.106 | 2018-12-10 15:40:47.106 | 2018-12-10 
> 15:40:47.106
> {code}
>  
> _We_ have a historical problem,  we'll parse the string to 
> Date/Time/Timestamp objects with timezone in #1, which means the actual data 
> is going to be changed when stored in HBase table。



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