You can use kafkacat to examine the timestamp (and other metadata). Here's
an example of calling it, and two sample output records:
$ kafkacat -b localhost:9092 -t mysql_users -C -c2 -f '\nKey (%K bytes):
%k\t\nValue (%S bytes): %s\nTimestamp: %T\tPartition: %p\tOffset: %o\n--\n'
Key (1 bytes): 1
Value (79 bytes):
{"uid":1,"name":"Cliff","locale":"en_US","address_city":"St
Louis","elite":"P"}
Timestamp: 1520618381093 Partition: 0 Offset: 0
--
Key (1 bytes): 2
Value (79 bytes):
{"uid":2,"name":"Nick","locale":"en_US","address_city":"Palo
Alto","elite":"G"}
Timestamp: 1520618381093 Partition: 0 Offset: 1
--
--
Robin Moffatt | Developer Advocate | ro...@confluent.io | @rmoff
On Thu, 10 Jan 2019 at 10:13, Parth Gandhi <
parth.gan...@excellenceinfonet.com> wrote:
> Hi,
>
> Does kafka record the timestamp of the incoming message in its data log? I
> checked one of the partition log and I can see the message without any
> timestamp. Also there are few special characters in the message log. IS
> that normal?
>
> Here is a sample log: pastebin.com/hStyCW13
>
> Thanks,
> Parth Gandhi
> DevOps
>
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