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https://issues.apache.org/jira/browse/AIRFLOW-6786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17094495#comment-17094495
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ASF GitHub Bot commented on AIRFLOW-6786:
-----------------------------------------

kaxil commented on pull request #7407:
URL: https://github.com/apache/airflow/pull/7407#issuecomment-620607239


   > > > @ashb can you please review? I've made the necessary changes to this 
PR and there seems to be growing demand for it. At this time I see there needs 
to a review by you and some modifications to the travis ci build which is 
failing for an unknown reason.
   > > 
   > > 
   > > Can you rebase the PR please to the latest master, we have moved to 
Github Actions for CI for most of our tests.
   > 
   > I don't have that as an option. It says merging is blocked. Should I 
create a new PR?
   
   
   ```
   git fetch upstream master
   git rebase upstream/master
   ```
   
   and force push your branch


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> Adding KafkaConsumerHook, KafkaProducerHook, and KafkaSensor
> ------------------------------------------------------------
>
>                 Key: AIRFLOW-6786
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-6786
>             Project: Apache Airflow
>          Issue Type: New Feature
>          Components: contrib, hooks
>    Affects Versions: 1.10.9
>            Reporter: Daniel Ferguson
>            Assignee: Daniel Ferguson
>            Priority: Minor
>
> Add the KafkaProducerHook.
>  Add the KafkaConsumerHook.
>  Add the KafkaSensor which listens to messages with a specific topic.
>  Related Issue:
>  #1311 (Pre-dates Jira Migration)
> Reminder to contributors:
> You must add an Apache License header to all new files
>  Please squash your commits when possible and follow the 7 rules of good Git 
> commits
>  I am new to the community, I am not sure the files are at the right place or 
> missing anything.
> The sensor could be used as the first node of a dag where the second node can 
> be a TriggerDagRunOperator. The messages are polled in a batch and the dag 
> runs are dynamically generated.
> Thanks!
> Note, as per denied PR [#1415|https://github.com/apache/airflow/pull/1415], 
> it is important to mention these integrations are not suitable for 
> low-latency/high-throughput/streaming. For reference, [#1415 
> (comment)|https://github.com/apache/airflow/pull/1415#issuecomment-484429806].
> Co-authored-by: Dan Ferguson 
> [dferguson...@gmail.com|mailto:dferguson...@gmail.com]
>  Co-authored-by: YuanfΞi Zhu



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