dosubot[bot] commented on issue #8626:
URL: 
https://github.com/apache/incubator-devlake/issues/8626#issuecomment-3495466533

   <!-- Answer -->
   This is a known bottleneck with the SonarQube plugin in DevLake when 
handling large data scopes. The batching and splitting logic is hardcoded, so 
there aren’t any user-facing options to tune performance—large scopes will 
always result in many sequential API requests, which slows down the pipeline. 
The only immediate workaround is to reduce the scope per run, for example by 
limiting the number of projects or issues collected at once, or narrowing the 
date range. 
   
   If you haven’t already, try increasing your container memory to at least 6GB 
and make sure your database indexes are optimized, as these have helped others 
with similar issues. Some users have also seen improvements by upgrading to 
newer versions (like v1.0.4-alpha), which resolved related pipeline problems 
for them [(source)](https://github.com/apache/incubator-devlake/issues/8538). 
   
   If the issue persists even after these steps, collecting backend logs and 
resource usage metrics during slow pipeline execution can help pinpoint the 
bottleneck [(source)](https://github.com/apache/incubator-devlake/issues/8596). 
Let me know if you can share those details, or if you’ve already tried the 
latest version.
   
   
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