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https://issues.apache.org/jira/browse/KAFKA-4461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15880293#comment-15880293
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ASF GitHub Bot commented on KAFKA-4461:
---------------------------------------
GitHub user hrafzali opened a pull request:
https://github.com/apache/kafka/pull/2587
KAFKA-4461: Added support to ProcessorTopologyTestDriver to forward
timestamps to internal topics
This resolves the issue in the ProcessorTopologyTestDriver that the
extracted timestamp is not forwarded with the produced record to the internal
topics.
JIRA ticket: https://issues.apache.org/jira/browse/KAFKA-4789
The contribution is my original work and I license the work to the project
under the project's open source license.
@guozhangwang @dguy
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hrafzali/kafka
KAFKA-4789_ProcessorTopologyTestDriver_timestamp
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/kafka/pull/2587.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2587
----
commit ad6db45916f28971470c0522584c2dca02ffae76
Author: Hamidreza Afzali <hamidreza.afz...@hivestreaming.com>
Date: 2017-02-23T10:53:18Z
KAFKA-4461: Added support to ProcessorTopologyTestDriver to forward
extracted timestamps to internal topics.
----
> When using ProcessorTopologyTestDriver, the combination of map and
> .groupByKey does not produce any result
> ----------------------------------------------------------------------------------------------------------
>
> Key: KAFKA-4461
> URL: https://issues.apache.org/jira/browse/KAFKA-4461
> Project: Kafka
> Issue Type: Bug
> Components: streams
> Affects Versions: 0.10.1.0
> Reporter: Hamidreza Afzali
> Assignee: Adrian McCague
> Labels: newbie, unit-test
> Fix For: 0.10.3.0
>
>
> *Problem*
> When using ProcessorTopologyTestDriver in the latest Kafka 0.10.1, the
> combination of map and .groupByKey does not produce any result. However, it
> works fine when using KStreamTestDriver.
> The topology looks like this:
> {code}
> builder.stream(Serdes.String, Serdes.Integer, inputTopic)
> .map((k, v) => new KeyValue(fn(k), v))
> .groupByKey(Serdes.String, Serdes.Integer)
> .count(stateStore)
> {code}
> *Full examples*
> Examples for ProcessorTopologyTestDriver and KStreamTestDriver:
> https://gist.github.com/hrafzali/c2f50e7b957030dab13693eec1e49c13
> *Additional info*
> kafka-users mailing list:
> http://mail-archives.apache.org/mod_mbox/kafka-users/201611.mbox/%3CCAHwHRrVq1APVkNhP3HVqxujxRJEP9FwHV2NRcvPPsHX7Wujzng%40mail.gmail.com%3E
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