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https://issues.apache.org/jira/browse/AIRFLOW-6786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17198299#comment-17198299
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ASF GitHub Bot commented on AIRFLOW-6786:
-----------------------------------------
dferguson992 commented on a change in pull request #10660:
URL: https://github.com/apache/airflow/pull/10660#discussion_r490895415
##########
File path: airflow/providers/google/cloud/example_dags/example_dataproc.py
##########
@@ -65,10 +65,16 @@
# Update options
# [START how_to_cloud_dataproc_updatemask_cluster_operator]
CLUSTER_UPDATE = {
- "config": {"worker_config": {"num_instances": 3},
"secondary_worker_config": {"num_instances": 3}}
Review comment:
idk how those even got in. Whenever i can work on this, i rebase from
master and a whole bunch of changes get added.. i think I'm rebasing wrong but
i don't understand how. `git rebase -i <my_branch> master`?
I never have enough time to really isolate the issue with this PR,
especially since everytime i try toupdate my local branch i incur other commits
that I didn't write. not sure what's wrong with this at all.
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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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