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Since this PR needs approval the community, maybe put in draft to avoid any accidental merge? |
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Looks good for me. Would you add yourself as CODEOWNER for this? Do you know somebody (even non committer) which would help as steward? |
kaxil
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Mar 4, 2026
…airflow-providers-ibm
… apache-airflow-providers-ibm" This reverts commit 3b7ade1.
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With the introduction of event-driven scheduling and the MessageQueueProvider abstraction in Airflow, it has become significantly easier to trigger DAGs from external message brokers as described in Astronomer's guide on event-driven scheduling.
Many enterprises still rely heavily on IBM MQ as their primary enterprise messaging backbone. However, at the moment there is no official Airflow provider supporting IBM MQ.
This implementation consists of:
This allows IBM MQ to function similarly to Kafka, SQS, etc., within the Airflow event-driven scheduling framework.
The implementation is built on top of the open-source IBM MQ Python wrapper:
IBM has recently released and documented their modern Python binding here:
https://community.ibm.com/community/user/blogs/dylan-goode/2025/10/16/new-python-binding-for-ibm-mq
The hook supports:
The MessageQueueProvider implementation integrates with Airflow's event-driven scheduling so that DAGs can be triggered based on IBM MQ messages.
Why this might make sense:
I am willing to act as initial maintainer and code owner, of course this is purely a proposition.
Was generative AI tooling used to co-author this PR?
{pr_number}.significant.rstor{issue_number}.significant.rst, in airflow-core/newsfragments.