[ 
https://issues.apache.org/jira/browse/FLINK-16938?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17073631#comment-17073631
 ] 

Jark Wu commented on FLINK-16938:
---------------------------------

The exception already tell the root cause: query schema and sink schema are not 
matched (TIMESTAMP can't be implicitly casted to TIMESTAMP WITH LOCAL TIME 
ZONE). I think you may defined a wrong type for ts in sink_table. Could you 
share the definition of "sink_table"? 

Btw, it seems not the same problem with this JIRA issue?

> SqlTimestamp has lag when convert long to Timestamp
> ---------------------------------------------------
>
>                 Key: FLINK-16938
>                 URL: https://issues.apache.org/jira/browse/FLINK-16938
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / Planner
>    Affects Versions: 1.10.0
>            Reporter: YufeiLiu
>            Priority: Major
>
> When I set rowtime attribute by using expression 'column.rowtime' , and 
> result type is sql.Timestamp, the result will have lag which is equals with 
> default timezone offset.
> {code:java}
> tEnv.fromDataStream(stream, "user_action_time.rowtime, user_name, data");
> {code}
> I look into the conversion logic, the field was go through 'long -> 
> SqlTimestamp -> Timestamp' conversion. 
> {code:java}
> long from = System.currentTimeMillis();
> long to = SqlTimestamp
>                       .fromEpochMillis(from)
>                       .toTimestamp()
>                       .getTime();
> {code}
> The result is {{from!=to}}.  In {{SqlTimestamp.toTimestamp()}} using 
> {{Timestamp.valueOf(LocalDateTime dateTime)}} which is contain timezone 
> infomation, will casue time lag.
> From Timestamp to Timestamp not have this issue, but convert Datastream to 
> Table is use StreamRecord.timestamp as rowtime field.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to