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Full parallel downstream implementation of pulp container modules #73
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Summary of ChangesHello @Alex-Welsh, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the performance and scalability of managing Pulp container content through Ansible. By introducing new parallelized modules and refactoring existing roles, it enables concurrent operations for repositories, remotes, distributions, and syncs, leading to substantial time savings in deployment and management workflows. The changes aim to provide a more robust and efficient experience for users interacting with Pulp container services. Highlights
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Code Review
This pull request introduces a significant and impressive refactoring to parallelize Pulp container operations by introducing new concurrent Ansible modules. The performance gains described are substantial. The new modules for repositories, remotes, distributions, and syncs are well-structured, leveraging concurrent.futures for parallelism and pulp-glue for API interactions. The corresponding roles and tests have been effectively updated to use these new batch modules. My review includes a couple of suggestions for the new task-based implementation of container content management to improve correctness and simplify the code.
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Full disclosure, Gen AI used to create new modules.
I've spent a while testing the changes against an aio-like environment, and included new test playbooks.
The code is complex, but fairly readable, it's a downstream tool and not at all critical. If we hit any issues we can easily revert to the old version.
Results for a full container sync/publish:
Old role: 2h 1m 31s
New modules: 10m 13s
The new implementation ran with a concurrency of 10, could be pushed higher. Test instance on SMS, using an aufn-like environment to create a seed that hosts pulp, so a fair bit of virtualisation overhead.
Depends on #71