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Posted to dev@phoenix.apache.org by "Viraj Jasani (Jira)" <ji...@apache.org> on 2021/05/21 16:43:00 UTC
[jira] [Updated] (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:all-tabpanel ]
Viraj Jasani updated PHOENIX-5066:
----------------------------------
Fix Version/s: (was: 4.16.1)
4.16.2
5.1.2
5.2.0
> 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
> Priority: Critical
> Fix For: 4.17.0, 5.2.0, 5.1.2, 4.16.2
>
> 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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