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https://issues.apache.org/jira/browse/CAMEL-16414?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17320622#comment-17320622
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Ramu commented on CAMEL-16414:
------------------------------

[~jenskordowski]  we have discussed accepting date in String format. But 
kafkaProducer class accepts time in Long format.

so we have to do lot of transformations depending on the input time format. 
There are lot of time formats we can set in String and it does eventually adds 
complexity at camel-kafka side. 

Please raise a new Jira with the Improvement to provide time as string format. 
In this case camel-kafka should have a utility/helper method to convert string 
date format to Long format . Helper method should accept all existing time 
formats and have a logic to convert to Long

Coming to other question ,if any jira in un assigned state. any body can own 
and work. if you want to work on jira own
and change to inprogress.

If you can not own jira,then at least update the jira saying working on the 
jira so that others know some body is already working





> camel-kafka set custom timestamp
> --------------------------------
>
>                 Key: CAMEL-16414
>                 URL: https://issues.apache.org/jira/browse/CAMEL-16414
>             Project: Camel
>          Issue Type: Improvement
>          Components: camel-kafka
>    Affects Versions: 2.25.3, 3.8.0
>            Reporter: Jens Kordowski
>            Assignee: Ramu
>            Priority: Major
>             Fix For: 3.10.0
>
>
> The kafka producer supports the possibility to pass on a (custom) timestamp 
> with the record. The camel-kafka component does not leverage this, currently. 
> A Camel header seems like a good option to provide this. The consumer already 
> creates a kafka.TIMESTAMP header (not yet documented). I suggest to use a 
> different header to avoid misconfiguration in case of "kafka to kafka" 
> scenarios. kafka.OVERRIDE_TIMESTAMP (being a one-time header) looks like a 
> good idea, similar to the existing kafka.OVERRIDE_TOPIC.
> What do you think?



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