GitHub user dosubot[bot] edited a comment on the discussion: Dora processing is 
too slow to complete in a few hours

<!-- Answer -->
There isn't a direct flag or config to enable parallel or bulk DORA metrics 
processing in DevLake. The main architectural bottleneck is that tasks are 
processed sequentially by a single runner, so true parallelism for DORA 
subtasks isn't natively supported. However, you can try a few things to improve 
performance:

- Increase the global worker concurrency by setting the `PIPELINE_MAX_PARALLEL` 
environment variable, which allows more pipelines to run in parallel (though 
this won't parallelize subtasks within a single pipeline)  
- Enable slow query logging in your database and add indexes to the tables used 
in DORA calculations—users have reported dramatic speedups (from hours to 
minutes) after optimizing indexes and queries for DORA tables like 
`pull_requests_*` and related foreign keys [(see 
discussion)](https://github.com/apache/incubator-devlake/issues/8260)
- Make sure your hardware (CPU, memory) and database resources are sufficient; 
increasing memory has resolved similar issues for others [(see 
example)](https://github.com/apache/incubator-devlake/issues/8480)
- Disable external monitoring tools like Dynatrace if you use them, as they've 
been shown to cause severe slowdowns [(see 
example)](https://github.com/apache/incubator-devlake/issues/8480)

If you want help finding specific batch size or concurrency settings in the 
code, let me know!


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GitHub link: 
https://github.com/apache/incubator-devlake/discussions/8507#discussioncomment-13849036

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