ahmedabu98 commented on issue #32746:
URL: https://github.com/apache/beam/issues/32746#issuecomment-2407222989

   Fortunately when this error happens, the bundle is retried so there is no 
data-loss. The pipeline also adapts well by auto-scaling to more workers:
   <img width="500" alt="image" 
src="https://github.com/user-attachments/assets/2c1787f5-9c5a-41dd-8822-f100cfb3b6f2";>
   
   My guess is a higher triggering frequency means the worker has to store more 
records in memory when writing to files. We could also be doing something 
inefficient with memory -- will investigate further


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