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https://issues.apache.org/jira/browse/AIRFLOW-6786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17259379#comment-17259379
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ASF GitHub Bot commented on AIRFLOW-6786:
-----------------------------------------
dferguson992 commented on pull request #12388:
URL: https://github.com/apache/airflow/pull/12388#issuecomment-755051473
I can't seem to get this to build locally now. `pip install -e
C:\...\airflow` complains about
I've installed all of the VC++ libraries and SDKs, about 8GB worth; still
getting this error.
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot
be installed directly
I tried running `pip install setproctitle` manually and got the same error.
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot
be installed directly
Any thoughts on this?
On the subject of testing, I wanted to add this dependency to assist in the
mocking.
https://pypi.org/project/pytest-kafka/
I have no clue where to even begin adding this dependency to the project so
it builds and runs tests appropriately.
Any advice where to go with this?
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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
> [[email protected]|mailto:[email protected]]
> Co-authored-by: YuanfΞi Zhu
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