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astronomer / astronomer-cosmos

Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
https://astronomer.github.io/astronomer-cosmos/
Apache License 2.0
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Add continuous performance benchmarking to Cosmos #868

Open jbandoro opened 6 months ago

jbandoro commented 6 months ago

After performance integration tests were added in #827 a reasonable follow-up would be to integrate a tool like github-action-benchmark to have continuous benchmarking of Cosmos performance so that possible performance improvements or regressions by comparing benchmark results can be detected.

The work would involve using pytest-benchmark to output the performance benchmark results and then storing the results with the GH action like in the example here. We could setup alerts for PRs.

A follow-up to this could also involve benchmarking the DAG parsing times for various load methods, e.g. LoadMode.DBT_LS and LoadMode.DBT_MANIFEST to track performance for parsing.

dosubot[bot] commented 6 months ago

🤖

That sounds like a great idea! Continuous performance benchmarking can definitely help in identifying performance improvements or regressions. Using github-action-benchmark and pytest-benchmark seems like a good approach. Your proposal to also benchmark the DAG parsing times for various load methods is a valuable addition. We encourage you to go ahead and create a pull request for this feature. Your contribution will be much appreciated!

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