You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@phoenix.apache.org by "Istvan Toth (Jira)" <ji...@apache.org> on 2022/09/29 06:39:00 UTC

[jira] [Commented] (PHOENIX-5066) The TimeZone is incorrectly used during writing or reading data

    [ https://issues.apache.org/jira/browse/PHOENIX-5066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17610826#comment-17610826 ] 

Istvan Toth commented on PHOENIX-5066:
--------------------------------------

I've just realized somewhat unlikely but real potential problem:

If we use context-dependent expressions (like TO_CHAR, or TIMESTAMP literal) in functional indexes, then the index results will be dependent on the context, which will result in incorrect operation with a different context.

This can probably happen with the current code, but has a larger chance of happening with the standards Compliant date processing, where the timezone naturally changes on connection depending on the client timezone.

> 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。



--
This message was sent by Atlassian Jira
(v8.20.10#820010)